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Browsing by Author "Vukovic, Rade (37027529000)"

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    Adrenal crisis provoked by dental infection: Case report and review of the literature
    (2010)
    Milenkovic, Ana (35484813900)
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    Markovic, Dejan (18133990000)
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    Zdravkovic, Dragan (7004544358)
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    Peric, Tamara (18134053000)
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    Milenkovic, Tatjana (55889872600)
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    Vukovic, Rade (37027529000)
    Primary adrenal insufficiency is an endocrine disorder characterized by cortisol and aldosterone deficiency caused by destruction of the adrenal cortex. Adrenal crisis is a medical emergency with acute symptoms: nausea, vomiting, abdominal pain, fever, hypoglycemia, seizures, hypovolemic shock, and cardiovascular failure. It occurs in patients with chronic adrenal insufficiency who are exposed to additional stress, such as infection, trauma, or surgical procedures. Dental infection is a possible cause of adrenal crisis in patients with chronic adrenal insufficiency, so pediatric endocrinologists and pediatric dentists should be aware of this risk. The purpose of this report was to present, a 6-year-old patient in whom Addison disease was diagnosed through adrenal crisis provoked by dental infection. The patient was treated with intravenous rehydration, intravenous hydrocortisone and antibiotics, and extraction of the infected primary tooth. Multidisciplinary approach and collaboration between the pediatric endocrinologist and the pediatric dentist are necessary to enable adequate medical and dental treatment in children with primary adrenal insufficiency. © 2010 Mosby, Inc. All rights reserved.
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    Adrenal crisis provoked by dental infection: Case report and review of the literature
    (2010)
    Milenkovic, Ana (35484813900)
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    Markovic, Dejan (18133990000)
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    Zdravkovic, Dragan (7004544358)
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    Peric, Tamara (18134053000)
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    Milenkovic, Tatjana (55889872600)
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    Vukovic, Rade (37027529000)
    Primary adrenal insufficiency is an endocrine disorder characterized by cortisol and aldosterone deficiency caused by destruction of the adrenal cortex. Adrenal crisis is a medical emergency with acute symptoms: nausea, vomiting, abdominal pain, fever, hypoglycemia, seizures, hypovolemic shock, and cardiovascular failure. It occurs in patients with chronic adrenal insufficiency who are exposed to additional stress, such as infection, trauma, or surgical procedures. Dental infection is a possible cause of adrenal crisis in patients with chronic adrenal insufficiency, so pediatric endocrinologists and pediatric dentists should be aware of this risk. The purpose of this report was to present, a 6-year-old patient in whom Addison disease was diagnosed through adrenal crisis provoked by dental infection. The patient was treated with intravenous rehydration, intravenous hydrocortisone and antibiotics, and extraction of the infected primary tooth. Multidisciplinary approach and collaboration between the pediatric endocrinologist and the pediatric dentist are necessary to enable adequate medical and dental treatment in children with primary adrenal insufficiency. © 2010 Mosby, Inc. All rights reserved.
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    After-hours versus office-hours dental injuries in children: Does timing influence outcome?
    (2016)
    Vukovic, Ana (57189182795)
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    Vukovic, Rade (37027529000)
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    Markovic, Dejan (18133990000)
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    Soldatovic, Ivan (35389846900)
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    Mandinic, Zoran (26321160300)
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    Beloica, Milos (36058295900)
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    Stojan, George (55336668700)
    Aim. The aim of this study was to analyze the outcomes and factors associated with after-hours dental trauma. Methods. Study sample consisted of 1762 permanent teeth injuries in children, gender and age matched with office-hours injuries. Epidemiological and clinical data were collected from 4 university dental trauma centers. Results. During median follow-up time of 4.3 years, complications have occurred in 14.5% of injured teeth. Age, type, and degree of tissue injury and after-hours time of injury were significantly associated with complications. Unfavorable outcomes were 34% more likely in the after-hours group compared with office-hours. Urgent treatment was significantly delayed in after-hours group with a delay of more than 3 hours in 90.5% versus 38.9% in the office-hours group. Multivariate regression model showed that after-hours time of injury was significant predictor of complications. Conclusion. Delayed urgent treatment was one of the main factors associated with unfavorable outcome of after-hours injuries. © SAGE Publications.
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    Alpha coma in an adolescent with diabetic ketoacidosis
    (2017)
    Ostojic, Slavica (55883005000)
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    Vukovic, Rade (37027529000)
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    Milenkovic, Tatjana (55889872600)
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    Mitrovic, Katarina (23498072800)
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    Djuric, Milena (36607792300)
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    Nikolic, Ljubica (59635129600)
    This is the first report of alpha coma (AC) caused by brain edema in a patient with diabetic ketoacidosis (DKA). A previously healthy 15-year-old girl was admitted to the intensive care unit due to altered state of consciousness during the course of treatment for DKA. Patient was in a coma, intubated and had tachycardia with poor peripheral perfusion. Results of laboratory analyses indicated severe DKA and computed tomography scan indicated diffuse brain edema. The EEG pattern showed uniform alpha activity. Treatment with intravenous fluids, insulin and mannitol was started. Patient’s state of consciousness gradually improved and on the third day she was extubated. On the fifth day, her neurologic status and EEG findings were completely normal with no residual neurological deficits. In conclusion, although AC is associated with a high fatality rate, favorable outcome can be achieved with prompt recognition and treatment of cerebral edema in pediatric patients with DKA. © 2017, Turkish Journal of Pediatrics. All rights reserved.
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    Children With Metabolically Healthy Obesity: A Review
    (2019)
    Vukovic, Rade (37027529000)
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    Dos Santos, Tiago Jeronimo (37080460700)
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    Ybarra, Marina (57195252975)
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    Atar, Muge (57201008491)
    Children with “metabolically healthy obesity” (MHO) are a distinct subgroup of youth with obesity, who are less prone to the clustering of cardiometabolic risk factors. Although this phenotype, frequently defined by the absence of metabolic syndrome components or insulin resistance, was first described during the early 1980s, a consensus-based definition of pediatric MHO was introduced only recently, in 2018. The purpose of this review was to concisely summarize current knowledge regarding the MHO phenomenon in youth. The prevalence of MHO in children varies from 3 to 87%, depending on the definition used and the parameters evaluated, as well as the ethnicity and the pubertal status of the sample. The most consistent predictors of MHO in youth include younger age, lower body mass index, lower waist circumference, and lower body fat measurements. Various hypotheses have been proposed to elucidate the underlying factors maintaining the favorable MHO phenotype. While preserved insulin sensitivity and lack of inflammation were previously considered to be the main etiological factors, the most recent findings have implicated adipokine levels, the number of inflammatory immune cells in the adipose tissue, and the reduction of visceral adiposity due to adipose tissue expandability. Physical activity and genetic factors also contribute to the MHO phenotype. Obesity constitutes a continuum-increased risk for cardiometabolic complications, which is less evident in children with MHO. However, some findings have highlighted the emergence of hepatic steatosis, increased carotid intima-media thickness and inflammatory biomarkers in the MHO group compared to peers without obesity. Screening should be directed at those more likely to develop clustering of cardiometabolic risk factors. Lifestyle modifications should include behavioral changes focusing on sleep duration, screen time, diet, physical activity, and tobacco smoke exposure. Weight loss has also been associated with the improvement of insulin sensitivity and inflammation. Further investigative efforts are needed in order to elucidate the mechanisms which protect against the clustering of cardiometabolic risk factors in pediatric obesity, to provide more efficient, targeted treatment approaches for children with obesity, and to identify the protective factors preserving the MHO profile, avoiding the crossover of MHO to the phenotype with metabolically unhealthy obesity. © Copyright © 2019 Vukovic, Dos Santos, Ybarra and Atar.
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    Clinical and genetic characteristics of patients with congenital hyperinsulinism in 21 non-consanguineous families from Serbia
    (2021)
    Raicevic, Maja (57193134434)
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    Milenkovic, Tatjana (55889872600)
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    Hussain, Khalid (26643177200)
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    Djordjevic, Maja (7102319301)
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    Martic, Jelena (19639196900)
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    Todorovic, Sladjana (55311644500)
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    Mitrovic, Katarina (23498072800)
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    Sarajlija, Adrijan (26027638400)
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    Vukovic, Rade (37027529000)
    Persistent hypoglycaemia in newborns and infants is most commonly caused by congenital hyperinsulinism (CHI). Most CHI studies report outcomes in children from both consanguineous and non-consanguineous families which can affect the phenotype-genotype analysis. The aim of this study was to analyze characteristics of patients with CHI in 21 non-consanguineous families from Serbia. This retrospective cohort study included a total of 21 patients with CHI treated in the Mother and Child Healthcare Institute of Serbia during the past 20 years. The prevalence of macrosomia at birth was very low in our cohort (4.8%). Median age at presentation was 6 days, with seizures as the presenting symptom in 76% of patients. Only four patients (19%) were diazoxide unresponsive, and eventually underwent pancreatectomy. Genetic testing was performed in 15 patients and genetic diagnosis was confirmed in 60%, with all patients being heterozygous for detected mutations. The ABCC8 gene mutations were detected in 55.6%, GLUD1 in three patients (33.3%) with HIHA syndrome and one patient had HNF4A gene mutation and unusual prolonged hyperglycaemia lasting 6 days after diazoxide cessation. Neurodevelopmental deficits persisted in 33% of patients. Conclusion: This is the first study regarding CHI patients in Serbia. It suggests that in countries with low consanguinity rate, majority of CHI patients are diazoxide responsive. The most common mutations were heterozygous ABCC8, followed by GLUD1 and HNF4A mutations, suggesting the potential benefit of population-tailored genetic analysis approach, targeting the mutations causing CHI via dominant inheritance model in regions with low consanguinity rates.What is Known:• Persistent hypoglycaemia during infancy and early childhood is most commonly caused by congenital hyperinsulinism (CHI).• Consanguinity is a very important factor regarding the genetics and phenotype of CHI, increasing the risk of autosomal recessive genetic disorders, including the severe, diazoxide-unresponsive forms caused by recessive inactivating mutations in ABCC8 and KCNJ11.What is New:• Results of the present study which included CHI patients from 21 non-consanguineous families suggest that in countries with low consanguinity rates, majority of CHI patients can be diazoxide responsive, with most common mutations being heterozygous ABCC8, followed by GLUD1 and HNF4A mutations.• Unusually prolonged hyperglycaemic reaction to diazoxide treatment in a patient with HNF4A mutation was also described in the present study. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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    Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019
    (2022)
    Cousin, Ewerton (57194620705)
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    Duncan, Bruce B. (35476478500)
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    Stein, Caroline (57196039610)
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    Ong, Kanyin Liane (57210793447)
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    Vos, Theo (57223885848)
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    Abbafati, Cristiana (54917122400)
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    Abbasi-Kangevari, Mohsen (57193543882)
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    Abdelmasseh, Michael (57356690000)
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    Abdoli, Amir (59421084100)
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    Abd-Rabu, Rami (57214966967)
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    Abolhassani, Hassan (58597704600)
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    Abu-Gharbieh, Eman (24586714800)
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    Accrombessi, Manfred Mario Kokou (55353650500)
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    Adnani, Qorinah Estiningtyas Sakilah (57211604149)
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    Afzal, Muhammad Sohail (56009310800)
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    Agarwal, Gina (57220151944)
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    Agrawaal, Krishna K. (37103625900)
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    Agudelo-Botero, Marcela (58888387100)
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    Ahinkorah, Bright Opoku (57194684030)
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    Ahmad, Sajjad (57218961022)
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    Ahmad, Tauseef (57214283386)
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    Ahmadi, Keivan (59396073300)
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    Ahmadi, Sepideh (58189812000)
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    Ahmadi, Ali (57193998515)
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    Ahmed, Ali (57201189007)
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    Salih, Yusra Ahmed (57407078800)
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    Akande-Sholabi, Wuraola (57204532006)
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    Akram, Tayyaba (57208951047)
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    Al Hamad, Hanadi (56955516200)
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    Al-Aly, Ziyad (9738161500)
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    Alcalde-Rabanal, Jacqueline Elizabeth (35749450200)
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    Alipour, Vahid (56436629300)
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    Aljunid, Syed Mohamed (6504304159)
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    Al-Raddadi, Rajaa M. (57219673720)
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    Alvis-Guzman, Nelson (57210741239)
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    Amini, Saeed (57210811281)
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    Ancuceanu, Robert (35728302200)
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    Andrei, Tudorel (24179349400)
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    Andrei, Catalina Liliana (36543507200)
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    Anjana, Ranjit Mohan (23992147600)
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    Ansar, Adnan (57196006846)
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    Antonazzo, Ippazio Cosimo (57219860691)
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    Antony, Benny (55776194600)
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    Anyasodor, Anayochukwu Edward (57192947419)
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    Arabloo, Jalal (57208760927)
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    Arizmendi, Damian (57489836300)
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    Armocida, Benedetta (57216280659)
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    Artamonov, Anton A. (57089921800)
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    Arulappan, Judie (57224210161)
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    Aryan, Zahra (55479968600)
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    Asgari, Samaneh (56010419200)
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    Ashraf, Tahira (56366752600)
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    Astell-Burt, Thomas (36924540400)
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    Atorkey, Prince (57218950488)
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    Atout, Maha Moh'd Wahbi (57195251851)
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    Ayanore, Martin Amogre (57070358300)
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    Badiye, Ashish D. (56340201200)
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    Baig, Atif Amin (49460999600)
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    Bairwa, Mohan (50461080100)
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    Baker, Jennifer L. (8705509600)
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    Baltatu, Ovidiu Constantin (6603841869)
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    Banik, Palash Chandra (57193523050)
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    Barnett, Anthony (35195335800)
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    Barone, Mark Thomaz Ugliara (7103416331)
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    Barone-Adesi, Francesco (8722189200)
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    Barrow, Amadou (57217061576)
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    Bedi, Neeraj (57988442200)
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    Belete, Rebuma (57217182390)
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    Belgaumi, Uzma Iqbal (55639511900)
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    Bell, Arielle Wilder (57362817700)
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    Bennett, Derrick A. (57650836400)
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    Bensenor, Isabela M. (7004830338)
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    Beran, David (8700920100)
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    Bhagavathula, Akshaya Srikanth (56398498300)
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    Bhaskar, Sonu (57192268582)
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    Bhattacharyya, Krittika (57204647266)
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    Bhojaraja, Vijayalakshmi S. (55989506600)
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    Bijani, Ali (23134684900)
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    Bikbov, Boris (57219957158)
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    Birara, Setognal (57218667464)
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    Bodolica, Virginia (22978699000)
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    Bonny, Aime (57190091246)
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    Brenner, Hermann (7201832825)
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    Briko, Nikolay Ivanovich (7004344976)
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    Butt, Zahid A. (57202522739)
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    Caetano dos Santos, Florentino Luciano (56373058500)
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    Cámera, Luis Alberto (7003354253)
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    Campos-Nonato, Ismael R. (57203424784)
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    Cao, Yin (55270204400)
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    Cao, Chao (57205476718)
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    Cerin, Ester (14522064200)
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    Chakraborty, Promit Ananyo (57218384775)
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    Chandan, Joht Singh (57221106138)
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    Chattu, Vijay Kumar (55743746500)
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    Chen, Simiao (57203514169)
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    Jee-Young Jasmine Choi (58608349400)
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    Choudhari, Sonali Gajanan (55760057300)
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    Chowdhury, Enayet Karim (35278162800)
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    Chu, Dinh-Toi (56239816300)
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    Corso, Barbara (54402100400)
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    Dadras, Omid (57205721978)
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    Dai, Xiaochen (57221591169)
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    Damasceno, Albertino Antonio Moura (6602880109)
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    Dandona, Lalit (7007017243)
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    Dandona, Rakhi (57203043697)
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    Dávila-Cervantes, Claudio Alberto (45561136400)
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    De Neve, Jan-Walter (57039962400)
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    Denova-Gutiérrez, Edgar (25228198700)
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    Dhamnetiya, Deepak (56884613200)
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    Diaz, Daniel (56644152500)
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    Ebtehaj, Sanam (57188860618)
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    Edinur, Hisham Atan (57287676500)
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    Eftekharzadeh, Sahar (57192113055)
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    Sayed, Iman El (57207466387)
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    Elgendy, Islam Y. (56022050500)
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    Elhadi, Muhammed (57212082248)
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    Elmonem, Mohamed A. (55921282400)
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    Faisaluddin, Mohammed (57204007767)
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    Farooque, Umar (57215323961)
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    Feng, Xiaoqi (57211144740)
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    Fernandes, Eduarda (34770207500)
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    Fischer, Florian (55508208800)
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    Flood, David (57189346302)
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    Freitas, Marisa (13406823400)
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    Gaal, Peter Andras (55966171600)
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    Gad, Mohamed M. (57203749611)
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    Gaewkhiew, Piyada (57194079692)
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    Getacher, Lemma (57219912857)
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    Ghafourifard, Mansour (57193420915)
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    Gheshlagh, Reza Ghanei (57194578564)
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    Ghashghaee, Ahmad (57194174020)
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    Ghith, Nermin (55249750100)
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    Ghozali, Ghozali (57208279650)
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    Gill, Paramjit Singh (7202766660)
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    Ginawi, Ibrahim Abdelmageed (57192378390)
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    Glushkova, Ekaterina Vladimirovna (57208983629)
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    Golechha, Mahaveer (36006347600)
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    Gopalani, Sameer Vali (57190277891)
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    Guimarães, Rafael Alves (56534712800)
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    Gupta, Rajat Das (57215122060)
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    Gupta, Rajeev (55705295300)
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    Gupta, Vivek Kumar (35073936800)
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    Gupta, Veer Bala (57194978364)
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    Gupta, Sapna (57217857409)
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    Habtewold, Tesfa Dejenie (57079013900)
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    Hafezi-Nejad, Nima (57216814261)
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    Halwani, Rabih (15065354400)
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    Hanif, Asif (55360052800)
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    Hankey, Graeme J. (7102816661)
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    Haque, Shafiul (35793732800)
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    Hasaballah, Ahmed I. (56002305300)
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    Hasan, Syed Shahzad (26032595100)
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    Hashi, Abdiwahab (57193562090)
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    Hassanipour, Soheil (57191513993)
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    Hay, Simon I. (7101875313)
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    Hayat, Khezar (57219918947)
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    Heidari, Mohammad (56494430400)
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    Hossain, Mohammad Bellal Hossain (36028425500)
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    Hossain, Sahadat (57188667199)
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    Hosseini, Mostafa (57204569481)
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    Hoveidamanesh, Soodabeh (57201943166)
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    Huang, Junjie (57199198962)
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    Humayun, Ayesha (25226911300)
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    Hussain, Rabia (7103224786)
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    Hwang, Bing-Fang (7201453928)
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    Ibitoye, Segun Emmanuel (57212027408)
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    Ikuta, Kevin S. (57211541916)
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    Inbaraj, Leeberk Raja (55988289600)
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    Iqbal, Usman (55572166900)
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    Islam, Md Shariful (59599855500)
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    Islam, Sheikh Mohammed Shariful (56400111100)
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    Islam, Rakibul M. (57205202128)
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    Ismail, Nahlah Elkudssiah (57885381900)
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    Isola, Gaetano (25825125500)
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    Itumalla, Ramaiah (57212472658)
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    Iwagami, Masao (54381883100)
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    Iyamu, Ihoghosa Osamuyi (57219860603)
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    Jahani, Mohammad Ali (56091589300)
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    Jakovljevic, Mihajlo (14318929700)
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    Jayawardena, Ranil (55010295200)
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    Jha, Ravi Prakash (58586863400)
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    John, Oommen (56592310300)
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    Jonas, Jost B. (7202492953)
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    Joo, Tamas (57214777013)
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    Kabir, Ali (23050698400)
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    Kalhor, Rohollah (55670548600)
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    Kamath, Ashwin (35724313100)
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    Kanchan, Tanuj (35237157900)
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    Kandel, Himal (57226834655)
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    Kapoor, Neeti (56340726700)
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    Kayode, Gbenga A. (53463867400)
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    Kebede, Sewnet Adem (57215661049)
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    Keshavarz, Pedram (57209008531)
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    Keykhaei, Mohammad (57208162861)
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    Khader, Yousef Saleh (55654192600)
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    Khajuria, Himanshu (56639982500)
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    Khan, Moien A. B. (57209800900)
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    Khan, Md Nuruzzaman (57209404949)
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    Khan, Maseer (57215721758)
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    Khater, Amir M. (57211138055)
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    Khoja, Tawfik Ahmed Muthafer (7003561381)
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    Khubchandani, Jagdish (57211720011)
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    Kim, Min Seo (57203591936)
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    Kim, Yun Jin (57211086375)
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    Kimokoti, Ruth W. (8647554600)
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    Kisa, Sezer (14030019900)
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    Kisa, Adnan (6603346067)
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    Kivimäki, Mika (7004391239)
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    Korshunov, Vladimir Andreevich (57203303920)
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    Korzh, Oleksii (7004882843)
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    Koyanagi, Ai (57197741912)
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    Krishan, Kewal (57202279708)
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    Defo, Barthelemy Kuate (6602271655)
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    Kumar, G. Anil (57139550500)
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    Kumar, Nithin (36678889900)
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    Kusuma, Dian (57190047530)
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    Vecchia, Carlo La (36063266200)
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    Lacey, Ben (7004338442)
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    Larsson, Anders O. (56381985300)
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    Lasrado, Savita (36632480900)
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    Lee, Wei-Chen (57394248700)
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    Lee, Chiachi Bonnie (56101115800)
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    Lee, Paul H. (57200302692)
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    Lee, Shaun Wen Huey (35201185800)
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    Li, Ming-Chieh (56144176300)
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    Lim, Stephen S. (57201800433)
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    Lim, Lee-Ling (56988527400)
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    Lucchetti, Giancarlo (35790096500)
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    Majeed, Azeem (7102027801)
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    Malik, Ahmad Azam (57198682313)
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    Mansouri, Borhan (54417707600)
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    Mantovani, Lorenzo Giovanni (7006357517)
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    Martini, Santi (57162600900)
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    Mathur, Prashant (7201845777)
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    McAlinden, Colm (35325278500)
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    Mehedi, Nafiul (57219473062)
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    Mekonnen, Teferi (57215662987)
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    Menezes, Ritesh G. (55517099900)
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    Mersha, Amanual Getnet (57194940075)
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    Jonasson, Junmei Miao (35875296300)
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    Miazgowski, Tomasz (6701404689)
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    Michalek, Irmina Maria (56982945900)
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    Zhang, Zhi-Jiang (56068578400)
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    Zhong, Chenwen (59289905900)
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    Zumla, Alimuddin (7006170723)
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    Naghavi, Mohsen (57207906323)
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    Schmidt, Maria Inês (7404398885)
    Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (−28·4 to −2·9) for all diabetes, and by 21·0% (–33·0 to −5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (−13·6% [–28·4 to 3·4]) and for type 1 diabetes (−13·6% [–29·3 to 8·9]). Interpretation: Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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    Publication
    Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019
    (2022)
    Cousin, Ewerton (57194620705)
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    Duncan, Bruce B. (35476478500)
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    Stein, Caroline (57196039610)
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    Kalhor, Rohollah (55670548600)
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    Kamath, Ashwin (35724313100)
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    Kanchan, Tanuj (35237157900)
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    Kandel, Himal (57226834655)
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    Kapoor, Neeti (56340726700)
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    Kayode, Gbenga A. (53463867400)
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    Kebede, Sewnet Adem (57215661049)
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    Keshavarz, Pedram (57209008531)
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    Keykhaei, Mohammad (57208162861)
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    Khader, Yousef Saleh (55654192600)
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    Khajuria, Himanshu (56639982500)
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    Khan, Moien A. B. (57209800900)
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    Khan, Md Nuruzzaman (57209404949)
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    Khan, Maseer (57215721758)
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    Khater, Amir M. (57211138055)
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    Khoja, Tawfik Ahmed Muthafer (7003561381)
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    Khubchandani, Jagdish (57211720011)
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    Kim, Min Seo (57203591936)
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    Kim, Yun Jin (57211086375)
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    Kimokoti, Ruth W. (8647554600)
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    Kisa, Sezer (14030019900)
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    Kisa, Adnan (6603346067)
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    Kivimäki, Mika (7004391239)
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    Korshunov, Vladimir Andreevich (57203303920)
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    Korzh, Oleksii (7004882843)
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    Koyanagi, Ai (57197741912)
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    Krishan, Kewal (57202279708)
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    Defo, Barthelemy Kuate (6602271655)
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    Kumar, G. Anil (57139550500)
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    Kumar, Nithin (36678889900)
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    Kusuma, Dian (57190047530)
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    Vecchia, Carlo La (36063266200)
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    Lacey, Ben (7004338442)
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    Larsson, Anders O. (56381985300)
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    Lasrado, Savita (36632480900)
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    Lee, Wei-Chen (57394248700)
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    Lee, Chiachi Bonnie (56101115800)
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    Lee, Paul H. (57200302692)
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    Lee, Shaun Wen Huey (35201185800)
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    Li, Ming-Chieh (56144176300)
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    Lim, Stephen S. (57201800433)
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    Lim, Lee-Ling (56988527400)
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    Lucchetti, Giancarlo (35790096500)
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    Majeed, Azeem (7102027801)
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    Malik, Ahmad Azam (57198682313)
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    Mansouri, Borhan (54417707600)
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    Mantovani, Lorenzo Giovanni (7006357517)
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    Martini, Santi (57162600900)
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    Mathur, Prashant (7201845777)
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    McAlinden, Colm (35325278500)
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    Mehedi, Nafiul (57219473062)
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    Mekonnen, Teferi (57215662987)
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    Menezes, Ritesh G. (55517099900)
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    Mersha, Amanual Getnet (57194940075)
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    Jonasson, Junmei Miao (35875296300)
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    Miazgowski, Tomasz (6701404689)
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    Michalek, Irmina Maria (56982945900)
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    Mirica, Andreea (57188983765)
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    Mirrakhimov, Erkin M. (57216202888)
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    Mirza, Agha Zeeshan (15023104300)
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    Mithra, Prasanna (36018632500)
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    Mohammadian-Hafshejani, Abdollah (55602206500)
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    Mohammadpourhodki, Reza (59552855100)
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    Mohammed, Arif (57197416979)
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    Mokdad, Ali H. (7004813962)
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    Molokhia, Mariam (7004121920)
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    Monasta, Lorenzo (7801520497)
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    Moni, Mohammad Ali (35119094400)
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    Moradpour, Farhad (55540661600)
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    Moradzadeh, Rahmatollah (55179399300)
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    Mostafavi, Ebrahim (57440829200)
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    Mueller, Ulrich Otto (8512347500)
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    Murray, Christopher J. L. (57224556036)
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    Mustafa, Ahmad (57212890480)
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    Nagel, Gabriele (7103201623)
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    Nangia, Vinay (57201490837)
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    Naqvi, Atta Abbas (56501393600)
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    Nayak, Biswa Prakash (56639942500)
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    Nazari, Javad (57207759174)
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    Ndejjo, Rawlance (56586121600)
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    Negoi, Ruxandra Irina (55566106200)
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    Kandel, Sandhya Neupane (57222966618)
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    Nguyen, Cuong Tat (56531347200)
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    Nguyen, Huong Lan Thi (57226837406)
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    Noubiap, Jean Jacques (55490374000)
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    Nowak, Christoph (56519458900)
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    Oancea, Bogdan (26658614800)
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    Odukoya, Oluwakemi Ololade (55356642300)
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    Oguntade, Ayodipupo Sikiru (57194328445)
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    Ojo, Temitope T. (57206779828)
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    Olagunju, Andrew T. (26029995700)
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    Onwujekwe, Obinna E. (7003992855)
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    Ortiz, Alberto (7201911399)
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    Owolabi, Mayowa O. (57222581892)
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    Palladino, Raffaele (57215205417)
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    Panda-Jonas, Songhomitra (6603112353)
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    Pandi-Perumal, Seithikurippu R. (7801638271)
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    Pardhan, Shahina (7003706887)
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    Parekh, Tarang (57205447202)
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    Parvizi, Mojtaba (56299606400)
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    Pepito, Veincent Christian Filipino (57216890866)
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    Perianayagam, Arokiasamy (15053062900)
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    Petcu, Ionela-Roxana (57094897500)
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    Pilania, Manju (55372464500)
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    Podder, Vivek (57201487580)
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    Polibin, Roman V. (36721857100)
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    Postma, Maarten J. (7006296502)
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    Prashant, Akila (16040597000)
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    Rabiee, Navid (57201008317)
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    Rabiee, Mohammad (24587922100)
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    Rahimi-Movaghar, Vafa (6507646446)
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    Rahman, Muhammad Aziz (55327627600)
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    Rahman, Md. Mosfequr (57706424400)
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    Rahmawaty, Setyaningrum (58491409700)
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    Ram, Pradhum (55961669800)
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    Rana, Juwel (57191591600)
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    Ranabhat, Kamal (56622984700)
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    Ranasinghe, Priyanga (6602322079)
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    Rao, Chythra R. (35771430100)
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    Rao, Satish (56915158400)
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    Rawaf, Salman (6602475959)
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    Rawaf, David Laith (57209228052)
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    Rawal, Lal (37262106500)
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    Renzaho, Andre M. N. (6505786588)
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    Rezaei, Nima (57216077273)
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    Rezapour, Aziz (55548281300)
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    Riahi, Seyed Mohammad (57193205976)
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    Ribeiro, Daniela (25626469800)
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    Rodriguez, Jefferson Antonio Buendia (22936575000)
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    Roever, Leonardo (56641632800)
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    Rohloff, Peter (55533870500)
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    Rwegerera, Godfrey M. (56033523400)
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    Ryan, Paul MacDaragh (56900507400)
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    Saber-Ayad, Maha Mohamed (36100701200)
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    Sabour, Siamak (16307842100)
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    Saddik, Basema (23020079300)
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    Moghaddam, Sahar Saeedi (56071020000)
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    Sahebkar, Amirhossein (26639699900)
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    Sahoo, Harihar (44462008100)
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    Saif-Ur-Rahman, K.M. (55990659300)
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    Salimzadeh, Hamideh (23052386900)
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    Samaei, Mehrnoosh (57225273791)
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    Sanabria, Juan (7006262917)
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    Santric-Milicevic, Milena M. (57211144346)
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    Sathian, Brijesh (27467953500)
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    Sathish, Thirunavukkarasu (54407369300)
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    Schlaich, Markus P. (7003349164)
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    Seidu, Abdul-Aziz (57200383297)
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    Šekerija, Mario (30268005400)
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    Kumar, Nachimuthu Senthil (57987796700)
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    Seylani, Allen (57222325334)
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    Shaikh, Masood Ali (57203122601)
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    Shamshad, Hina (24722237000)
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    Shawon, Md Shajedur Rahman (57195803485)
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    Sheikhbahaei, Sara (57219637352)
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    Shetty, Jeevan K. (15844347300)
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    Shiri, Rahman (57200737050)
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    Shivakumar, K.M. (57221603938)
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    Shuval, Kerem (8215146800)
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    Singh, Jasvinder A. (7404421736)
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    Singh, Ambrish (57214875932)
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    Skryabin, Valentin Yurievich (57226830981)
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    Skryabina, Anna Aleksandrovna (57218875198)
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    Sofi-Mahmudi, Ahmad (57216854132)
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    Soheili, Amin (57204123755)
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    Sun, Jing (55547135859)
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    Szerencsés, Viktória (57224626460)
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    Szócska, Miklós (13410278600)
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    Tabarés-Seisdedos, Rafael (6602981102)
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    Tadbiri, Hooman (57138410000)
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    Tadesse, Eyayou Girma (57221591705)
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    Tariqujjaman, Md. (57198882369)
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    Thankappan, Kavumpurathu Raman (57202955435)
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    Thapar, Rekha (36337431900)
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    Thomas, Nihal (7401830494)
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    Timalsina, Binod (59537205600)
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    Tobe-Gai, Ruoyan (57209276611)
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    Tonelli, Marcello (7103102534)
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    Tovani-Palone, Marcos Roberto (56644977900)
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    Tran, Bach Xuan (57209107515)
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    Tripathy, Jaya Prasad (55290251600)
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    Car, Lorainne Tudor (48561867100)
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    Tusa, Biruk Shalmeno (57216200356)
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    Uddin, Riaz (53064875600)
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    Upadhyay, Era (6505961711)
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    Tahbaz, Sahel Valadan (57216154072)
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    Valdez, Pascual R. (57202115577)
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    Vasankari, Tommi Juhani (57200592416)
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    Verma, Madhur (57189521090)
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    Villalobos-Daniel, Victor E. (36549782300)
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    Vladimirov, Sergey Konstantinovitch (57195959162)
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    Vo, Bay (35147075900)
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    Vu, Giang Thu (57202424871)
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    Vukovic, Rade (37027529000)
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    Waheed, Yasir (35303643700)
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    Wamai, Richard G. (23969762700)
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    Werdecker, Andrea (57208964895)
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    Wickramasinghe, Nuwan Darshana (55326938000)
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    Winkler, Andrea Sylvia (58323746700)
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    Wubishet, Befikadu Legesse (57200671454)
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    Xu, Xiaoyue (59560820600)
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    Xu, Suowen (35303824800)
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    Jabbari, Seyed Hossein Yahyazadeh (57207954055)
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    Yatsuya, Hiroshi (6603908304)
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    Yaya, Sanni (55191139800)
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    Yazie, Taklo Simeneh Yazie (57207254034)
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    Yi, Siyan (16837551600)
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    Yonemoto, Naohiro (57204947657)
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    Yunusa, Ismaeel (57202137670)
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    Zadey, Siddhesh (57188589258)
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    Zaman, Sojib Bin (57193070058)
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    Zamanian, Maryam (57201292465)
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    Zamora, Nelson (58338303800)
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    Zastrozhin, Mikhail Sergeevich (56728932200)
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    Zastrozhina, Anasthasia (57210832491)
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    Zhang, Zhi-Jiang (56068578400)
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    Zhong, Chenwen (59289905900)
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    Zmaili, Mohammad (57188702157)
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    Zumla, Alimuddin (7006170723)
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    Naghavi, Mohsen (57207906323)
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    Schmidt, Maria Inês (7404398885)
    Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (−28·4 to −2·9) for all diabetes, and by 21·0% (–33·0 to −5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (−13·6% [–28·4 to 3·4]) and for type 1 diabetes (−13·6% [–29·3 to 8·9]). Interpretation: Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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    Editorial: Childhood obesity: prevention, management and new insight in pathophysiology
    (2023)
    Corica, Domenico (55572465600)
    ;
    Ben-Skowronek, Iwona (21638202200)
    ;
    Vukovic, Rade (37027529000)
    ;
    Wasniewska, Malgorzata (7004045267)
    [No abstract available]
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    Effects of high-intensity interval training and nutrition advice on cardiometabolic markers and aerobic fitness in adolescent girls with obesity
    (2020)
    Plavsic, Ljiljana (6505599081)
    ;
    Knezevic, Olivera M. (37063293000)
    ;
    Sovtic, Aleksandar (16234625700)
    ;
    Minic, Predrag (6603400160)
    ;
    Vukovic, Rade (37027529000)
    ;
    Mazibrada, Ilijana (12239600600)
    ;
    Stanojlovic, Olivera (6602159151)
    ;
    Hrncic, Dragan (13907639700)
    ;
    Rasic-Markovic, Aleksandra (23480382100)
    ;
    Macut, Djuro (35557111400)
    The aim of the study was to compare the effects of high-intensity interval training (HIIT) and nutrition advice on cardiometabolic biomarkers, hormonal parameters, and cardiorespiratory fitness in adolescent girls with obesity. Adolescent girls with obesity (n = 44, aged 13–19 years) were randomized into a 12-week intervention as follows: (i) dietary advice and HIIT (n = 22), and (ii) dietary advice only (n = 22). The concentration of biomarkers of inflammation, biochemical and hormonal testing, oral glucose tolerance test, cardiorespiratory fitness, physical activity levels, and nutrition were assessed. After a 3-month intervention, the diet+HIIT group significantly increased insulin sensitivity index (–0.34 ± 1.52 vs. 1.05 ± 3.21; p = 0.001) and work load (0.6 ± 11.3 W vs. 14.6 ± 20.2 W; p = 0.024) and decreased glucose area under the curve (–0.29 ± 4.69 vs. −0.98 ± 4.06; p = 0.040), insulin area under the curve (−9.65 ± 117.9 vs. −98.7 ± 201.8; p = 0.003), and high-sensitivity C-reactive protein (hs-CRP) (0.12 ± 1.92 mg/L vs. −1.47 ± 3.67 mg/L; p = 0.039) in comparison with the diet group. Regarding within-group changes, both groups had significant improvements in body mass index (BMI), BMI-standard deviation score, body fat percentage, and systolic blood pressure. Positive impact on waist circumference, waist circumference/height ratio, diastolic blood pressure, hs-CRP, work load, maximal heart rate, and resting heart rate was observed only after the diet+HIIT intervention. No significant change was noted in peak oxygen uptake, lipid profile, and hormonal parameters between groups after intervention. Novelty • HIIT and nutrition advice increased insulin sensitivity and decreased BMI, bodyfat, systolicbloodpressure, and diastolicblood pressure. • Nutrition advice decreased BMI, body fat, and systolic blood pressure in adolescent girls with obesity. © 2020, Canadian Science Publishing. All rights reserved.
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    Effects of high-intensity interval training and nutrition advice on cardiometabolic markers and aerobic fitness in adolescent girls with obesity
    (2020)
    Plavsic, Ljiljana (6505599081)
    ;
    Knezevic, Olivera M. (37063293000)
    ;
    Sovtic, Aleksandar (16234625700)
    ;
    Minic, Predrag (6603400160)
    ;
    Vukovic, Rade (37027529000)
    ;
    Mazibrada, Ilijana (12239600600)
    ;
    Stanojlovic, Olivera (6602159151)
    ;
    Hrncic, Dragan (13907639700)
    ;
    Rasic-Markovic, Aleksandra (23480382100)
    ;
    Macut, Djuro (35557111400)
    The aim of the study was to compare the effects of high-intensity interval training (HIIT) and nutrition advice on cardiometabolic biomarkers, hormonal parameters, and cardiorespiratory fitness in adolescent girls with obesity. Adolescent girls with obesity (n = 44, aged 13–19 years) were randomized into a 12-week intervention as follows: (i) dietary advice and HIIT (n = 22), and (ii) dietary advice only (n = 22). The concentration of biomarkers of inflammation, biochemical and hormonal testing, oral glucose tolerance test, cardiorespiratory fitness, physical activity levels, and nutrition were assessed. After a 3-month intervention, the diet+HIIT group significantly increased insulin sensitivity index (–0.34 ± 1.52 vs. 1.05 ± 3.21; p = 0.001) and work load (0.6 ± 11.3 W vs. 14.6 ± 20.2 W; p = 0.024) and decreased glucose area under the curve (–0.29 ± 4.69 vs. −0.98 ± 4.06; p = 0.040), insulin area under the curve (−9.65 ± 117.9 vs. −98.7 ± 201.8; p = 0.003), and high-sensitivity C-reactive protein (hs-CRP) (0.12 ± 1.92 mg/L vs. −1.47 ± 3.67 mg/L; p = 0.039) in comparison with the diet group. Regarding within-group changes, both groups had significant improvements in body mass index (BMI), BMI-standard deviation score, body fat percentage, and systolic blood pressure. Positive impact on waist circumference, waist circumference/height ratio, diastolic blood pressure, hs-CRP, work load, maximal heart rate, and resting heart rate was observed only after the diet+HIIT intervention. No significant change was noted in peak oxygen uptake, lipid profile, and hormonal parameters between groups after intervention. Novelty • HIIT and nutrition advice increased insulin sensitivity and decreased BMI, bodyfat, systolicbloodpressure, and diastolicblood pressure. • Nutrition advice decreased BMI, body fat, and systolic blood pressure in adolescent girls with obesity. © 2020, Canadian Science Publishing. All rights reserved.
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    Factors associated with oxidative stress status in pediatric patients with type 1 diabetes mellitus
    (2020)
    Kacarevic, Dragana (57216201158)
    ;
    Bogavac-Stanojevic, Natasa (6506171691)
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    Spasojevic-Kalimanovska, Vesna (6602511188)
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    Bojanin, Dragana (56060584100)
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    Milenkovic, Tatjana (55889872600)
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    Stefanovic, Aleksandra (15021458500)
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    Mihajlovic, Marija (57204841430)
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    Vujcic, Sanja (57214945850)
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    Vukovic, Rade (37027529000)
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    Zeljkovic, Aleksandra (15021559900)
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    Todorovic, Sladjana (55311644500)
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    Mitrovic, Katarina (23498072800)
    ;
    Vekic, Jelena (16023232500)
    Oxidative stress is implicated in both, the onset and the progression of type 1 diabetes mellitus (T1DM). There is accumulated evidence of increased biomarkers of oxidative stress in newly diagnosed, T1DM patients without complications, and in those with advanced disease. In this cross-sectional study, we investigated factors affecting oxidative stress status in pediatric patients with T1DM. Advanced oxidation protein products (AOPP), prooxidant-antioxidant balance (PAB), total sulfhydryl (SH) groups, and superoxide dismutase (SOD) activity were determined in 170 children and adolescents with T1DM. Principal component analysis was used to investigate clustering of clinical and laboratory variables associated with elevated oxidative stress and reduced antioxidative defense biomarkers. Factor analysis extracted five factors, interpreted as (1) "weight status factor" including age, BMI, waist and hip circumferences; (2) "proatherogenic factor" that included LDL-cholesterol, non-HDL-cholesterol, and triglycerides; (3) "metabolic control factor" including glucose and HbA1c; (4) "renal marker factor" with positive loading of urinary albumin excretion rate and negative loading of GFR; and (5) "antiatherogenic factor" that included HDL-cholesterol. High AOPP levels were independently predicted by "proatherogenic" (OR: 2.32; 95% CI: 1.44-3.71; p < 0.001), "metabolic control" (OR: 2.24; 95% CI: 1.35-3.73; p < 0.01), and "renal marker" (OR: 1.65; 95% CI: 1.03-2.65; p < 0.05) factors. "Renal marker factor" was a significant predictor of PAB (OR: 0.52; 95% CI: 0.34-0.81; p < 0.01). Regarding antioxidative defense markers, reduced SH groups were predicted by "proatherogenic factor" (OR: 0.56; 95% CI: 0.34-0.94; p < 0.05), while "weight status factor" predicted lower SOD activity (OR: 1.66; 95% CI: 1.03-2.67; p < 0.05). Cardiometabolic risk factors and renal function are associated with oxidative stress in pediatric T1DM patients. © 2020 2020 Walter de Gruyter GmbH, Berlin/Boston.
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    Factors associated with oxidative stress status in pediatric patients with type 1 diabetes mellitus
    (2020)
    Kacarevic, Dragana (57216201158)
    ;
    Bogavac-Stanojevic, Natasa (6506171691)
    ;
    Spasojevic-Kalimanovska, Vesna (6602511188)
    ;
    Bojanin, Dragana (56060584100)
    ;
    Milenkovic, Tatjana (55889872600)
    ;
    Stefanovic, Aleksandra (15021458500)
    ;
    Mihajlovic, Marija (57204841430)
    ;
    Vujcic, Sanja (57214945850)
    ;
    Vukovic, Rade (37027529000)
    ;
    Zeljkovic, Aleksandra (15021559900)
    ;
    Todorovic, Sladjana (55311644500)
    ;
    Mitrovic, Katarina (23498072800)
    ;
    Vekic, Jelena (16023232500)
    Oxidative stress is implicated in both, the onset and the progression of type 1 diabetes mellitus (T1DM). There is accumulated evidence of increased biomarkers of oxidative stress in newly diagnosed, T1DM patients without complications, and in those with advanced disease. In this cross-sectional study, we investigated factors affecting oxidative stress status in pediatric patients with T1DM. Advanced oxidation protein products (AOPP), prooxidant-antioxidant balance (PAB), total sulfhydryl (SH) groups, and superoxide dismutase (SOD) activity were determined in 170 children and adolescents with T1DM. Principal component analysis was used to investigate clustering of clinical and laboratory variables associated with elevated oxidative stress and reduced antioxidative defense biomarkers. Factor analysis extracted five factors, interpreted as (1) "weight status factor" including age, BMI, waist and hip circumferences; (2) "proatherogenic factor" that included LDL-cholesterol, non-HDL-cholesterol, and triglycerides; (3) "metabolic control factor" including glucose and HbA1c; (4) "renal marker factor" with positive loading of urinary albumin excretion rate and negative loading of GFR; and (5) "antiatherogenic factor" that included HDL-cholesterol. High AOPP levels were independently predicted by "proatherogenic" (OR: 2.32; 95% CI: 1.44-3.71; p < 0.001), "metabolic control" (OR: 2.24; 95% CI: 1.35-3.73; p < 0.01), and "renal marker" (OR: 1.65; 95% CI: 1.03-2.65; p < 0.05) factors. "Renal marker factor" was a significant predictor of PAB (OR: 0.52; 95% CI: 0.34-0.81; p < 0.01). Regarding antioxidative defense markers, reduced SH groups were predicted by "proatherogenic factor" (OR: 0.56; 95% CI: 0.34-0.94; p < 0.05), while "weight status factor" predicted lower SOD activity (OR: 1.66; 95% CI: 1.03-2.67; p < 0.05). Cardiometabolic risk factors and renal function are associated with oxidative stress in pediatric T1DM patients. © 2020 2020 Walter de Gruyter GmbH, Berlin/Boston.
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    Publication
    First report on the nationwide incidence of type 1 diabetes and ketoacidosis at onset in children in Serbia: a multicenter study
    (2018)
    Vukovic, Rade (37027529000)
    ;
    Jesic, Maja D. (24073164000)
    ;
    Vorgucin, Ivana (24924004500)
    ;
    Stankovic, Sandra (56720149200)
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    Folic, Nevena (54928811000)
    ;
    Milenkovic, Tatjana (55889872600)
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    Sajic, Silvija (24073590000)
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    Katanic, Dragan (6603090473)
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    Zivic, Sasa (8618317200)
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    Markovic, Slavica (25121658200)
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    Soldatovic, Ivan (35389846900)
    Data regarding incidence of type 1 diabetes (T1DM), as well as data on frequency and severity of diabetic ketoacidosis (DKA) at the time of T1DM diagnosis is of paramount importance for national and regional healthcare planning. The aim of present multicenter study was to provide the first report regarding nationwide annual incidence rates for T1DM in youth in Serbia, as well as prevalence of DKA at the time of diagnosis. Data on all pediatric patients with newly diagnosed T1DM was retrospectively collected from all 15 regional centers for pediatric diabetes in Serbia during the period 2007–2017. During the study period, average-standardized incidence of T1DM in youth < 19 years was 11.82/100,000, and 14.28/100,000 in 0–14 years age group, with an average yearly increase in incidence of 5.9%. High prevalence of DKA (35.1%) at the time of diagnosis was observed, with highest frequency in children aged < 5 years (47.2%). Conclusion: This is the first study reporting the nationwide incidence of T1DM and alarmingly high prevalence of DKA at diagnosis in youth in Serbia. The focus of public health preventive measures should be directed towards the preschoolers, considering the highest frequency and severity of DKA observed in this age group.What is Known:• Knowing regional T1DM incidence is of paramount importance for resource allocation and healthcare services provision.• DKA is the leading cause of acute mortality in youth with T1DM, and public health preventive educational measures could improve early diagnosis and reduce the frequency and severity of DKA at presentation.What is New:• Incidence of pediatric T1DM in Serbia is on the rise, with an average yearly increase of 5.9%.• Worryingly high prevalence of DKA (35.1%) at the time of T1DM diagnosis was observed, with the highest frequency of DKA in children aged < 5 years (47.2%). © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
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    Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
    (2020)
    Abbafati, Cristiana (54917122400)
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    Abbas, Kaja M. (57190285707)
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    Baraki, Adhanom Gebreegziabher (56815045400)
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    Bärnighausen, Till Winfried (23011726900)
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    Bhagavathula, Akshaya Srikanth (56398498300)
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    Bitew, Helen (57191478797)
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    Boon-Dooley, Alexandra S. (57209262384)
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    Borges, Guilherme (35373585600)
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    Borzì, Antonio Maria (57200199389)
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    Borzouei, Shiva (16678312200)
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    Bosetti, Cristina (7005452936)
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    Boufous, Soufiane (6507794444)
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    Braithwaite, Dejana (7006987079)
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    Brauer, Michael (57218330976)
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    Breitner, Susanne (24075260300)
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    Briant, Paul Svitil (57196152334)
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    Briko, Andrey Nikolaevich (57202792237)
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    Briko, Nikolay Ivanovich (7004344976)
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    Bryazka, Dana (57200015057)
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    Bumgarner, Blair R. (57196081130)
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    Burkart, Katrin (29067507300)
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    Burnett, Richard Thomas (26643599300)
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    Burugina Nagaraja, Sharath (46961272800)
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    Butt, Zahid A. (57202522739)
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    Caetano Dos Santos, Florentino Luciano (56373058500)
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    Cahill, Leah E. (35087909400)
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    Cámera, Luis Alberto (7003354253)
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    Campos-Nonato, Ismael R. (57203424784)
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    Castaldelli-Maia, Joao Mauricio (12774601300)
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    Castro, Franz (57204567353)
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    Cederroth, Christopher R. (9242388300)
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    Cercy, Kelly M. (57208777587)
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    Schwendicke, Falk (55639536600)
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    Senbeta, Anbissa Muleta (57212584644)
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    Stanaway, Jeffrey D. (57201210928)
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    Stockfelt, Leo (26022098300)
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    Suliankatchi Abdulkader, Rizwan (57195295816)
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    Sultan, Iyad (6603943693)
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    Tabarés-Seisdedos, Rafael (6602981102)
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    Zhang, Yunquan (56568510200)
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    Zhang, Zhi-Jiang (56068578400)
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    Zhao, Jeff T. (57221069965)
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    Zhao, Xiu-Ju George (8360350900)
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    Zhao, Yingxi (57194059646)
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    Zheng, Peng (57213707656)
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    Zimsen, Stephanie R. M. (57196078433)
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    Lim, Stephen S. (57201800433)
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    Murray, Christopher J.L. (57224556036)
    Background: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods: GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation: Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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    Hashimoto Thyroiditis and Dyslipidemia in Childhood: A Review
    (2019)
    Vukovic, Rade (37027529000)
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    Zeljkovic, Aleksandra (15021559900)
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    Bufan, Biljana (9533949300)
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    Spasojevic-Kalimanovska, Vesna (6602511188)
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    Milenkovic, Tatjana (55889872600)
    ;
    Vekic, Jelena (16023232500)
    Hashimoto autoimmune thyroiditis (AIT) is the most common cause of acquired hypothyroidism in the pediatric population. Development of AIT is mediated mainly by cellular immune response directed toward thyroid autoantigens, leading to inflammation and impaired function of thyroid gland. Both thyroid dysfunction and inflammation affect the metabolism of plasma lipoproteins. The alterations in lipid profile worsen with the advancement of hypothyroidism, ranging from discrete changes in euthyroid AIT patients, to atherogenic dyslipidemia in the overt hypothyroidism. In this review, characteristics of dyslipidemia in pediatric AIT patients, and the consequences in respect to the risk for cardiovascular disease (CVD) development are discussed. Additionally, benefit of L-thyroxine treatment on serum lipid profile in pediatric AIT patients is addressed. Finally, potential usefulness of novel lipid biomarkers, such as proprotein convertase subtilisin/kexin type 9 (PCSK9), non-cholesterol sterols, low-density lipoprotein particle size and number, and high-density lipoprotein structure and functionality in AIT patients is also covered. Further longitudinal studies are needed in order to elucidate the long-term cardiovascular outcomes of dyslipidemia in pediatric patients with Hashimoto AIT. © Copyright © 2019 Vukovic, Zeljkovic, Bufan, Spasojevic-Kalimanovska, Milenkovic and Vekic.
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    How Much Country Economy Influences ECC Profile in Serbian Children—A Macro-Level Factor Analysis
    (2019)
    Markovic, Dejan (18133990000)
    ;
    Soldatovic, Ivan (35389846900)
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    Vukovic, Rade (37027529000)
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    Peric, Tamara (18134053000)
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    Campus, Guglielmo Giuseppe (7006016308)
    ;
    Vukovic, Ana (57189182795)
    Introduction: Serbia has universal health coverage (UHC) for pediatric dental care and similar country distribution for dentists and physicians per 1,000 inhabitants. However, a high prevalence of early childhood caries (ECC) with wide variation across the country was observed in previous studies. This paper aimed to analyze the association between economic and healthcare country macro-level factors with ECC prevalence and treatment. Method: The outcome variables were ECC prevalence and frequency of untreated ECC in 36- to 71-month-olds. Cross-sectional pathfinder survey on a nationally representative sample of children was conducted in order to obtain data. Independent variables included the following: gross domestic product (GDP), social and health care budget beneficiaries' expenditures, local self-government budget, unemployment rate, population density and density of physicians and dentists. Guided by the WHO's Basic Methods for Oral Health Surveys stratified cluster sample, 17 sites were randomly chosen to obtain adequate distribution of data regarding urban, peri-urban and rural areas in each analyzed statistical territorial unit. The variables were analyzed using the independent t-test or Mann–Whitney U test. A probability value of <0.05 was considered significant. Results: The final sample included 864 children aged 36 to 71 months. Observed prevalence of ECC was 41.1%. Although no statistically significant difference was found, children with ECC compared to healthy children were living in parts of the country with averages of ≈122€ lower GDP per capita, ≈4€ lower social and health care expenditures per capita, 9 inhabitants per km2 lower population density, almost 7€ per capita lower local self-government budget and a 0.6% higher unemployment rate. Furthermore, although without a statistically significant difference, untreated ECC was associated with ≈302€ lower GDP per capita, ≈12€ lower social and health care expenditures per capita, 34 inhabitants per km2 lower population density, almost 20€ per capita lower local self-government budget and a 1.7% higher unemployment rate. Conclusions: This study, performed in a nationally representative sample of preschool children, revealed the association of economic macro-level factors with ECC prevalence and its (non-) treatment. Further research on a larger sample is necessary to confirm the results. These findings suggest that most of the public-health efforts regarding prevention and early treatment of ECC should be directed at regions with lower economic performance. © Copyright © 2019 Markovic, Soldatovic, Vukovic, Peric, Campus and Vukovic.
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    Insulin-sensitive obese children display a favorable metabolic profile
    (2013)
    Vukovic, Rade (37027529000)
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    Mitrovic, Katarina (23498072800)
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    Milenkovic, Tatjana (55889872600)
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    Todorovic, Sladjana (55311644500)
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    Soldatovic, Ivan (35389846900)
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    Sipetic-Grujicic, Sandra (6701802171)
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    Zdravkovic, Dragan (7004544358)
    Most of what is known about the metabolically healthy obese phenomenon is derived from studies in the adult population and no standardized criteria to identify these individuals exist to date. The aim of this study was to determine if the preserved insulin sensitivity evaluated by homeostatic model assessment of insulin resistance (HOMA-IR) index is associated with favorable metabolic profile in the obese children. We studied a group of 248 children and adolescents (150 female, 98 male), aged 5.9-18.9 years with diet-induced obesity (BMI >95th percentile). The entire cohort was divided into quartiles based on levels of insulin resistance determined by HOMA-IR index. Subjects in the lower quartile of HOMA-IR were classified as insulin-sensitive group (ISG), whereas children in the upper quartile were categorized as insulin-resistant group (IRG). The ISG subjects had values of HOMA-IR ≤2.75 while the children from the IRG group had HOMA-IR ≥6.16. Subjects from ISG group had lower basal β-cell activity and were less likely to have impaired fasting glucose or impaired glucose tolerance. Concentrations of LDL and total cholesterol, triglycerides, and transaminases were lower and HDL cholesterol levels were higher in ISG subjects. Findings obtained by the use of Matsuda index correlated well with the findings obtained by the use of HOMA-IR. Conclusion: Lower HOMA-IR values were significantly associated with favorable metabolic profile in studied children, which correlates with findings in the adult population and emphasizes the need for further, longitudinal studies of insulin resistance development in childhood obesity. © 2012 Springer-Verlag Berlin Heidelberg.
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    Managing Children and Adolescents with Type 1 Diabetes and Coexisting Celiac Disease: Real-World Data from a Global Survey
    (2024)
    Raicevic, Maja (57193134434)
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    Rosanio, Francesco Maria (56095363800)
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    Jeronimo dos Santos, Tiago (37080460700)
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    Chobot, Agata (16041594500)
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    Piona, Claudia (36118161200)
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    Cudizio, Laura (57204854286)
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    Alsaffar, Hussain (57221317224)
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    Dumic, Katja (25227543200)
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    Aftab, Sommayya (55353324300)
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    Shaunak, Meera (57202707627)
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    Mozzillo, Enza (6506651484)
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    Vukovic, Rade (37027529000)
    Introduction: Celiac disease (CD) is among the diseases most commonly associated with type 1 diabetes (T1D). This study aimed to evaluate the worldwide practices and attitudes of physicians involved in pediatric diabetes care regarding diagnosing and managing CD in children with T1D. Methods: The 30-item survey was conducted between July and December 2023 aimed at targeting pediatricians with special interest in T1D and CD. It was shared by the JENIOUS – young investigators group of the International Society of Pediatric and Adolescent Diabetes (ISPAD) – and the YES – early career group of the European Society for Pediatric Endocrinology (ESPE). Results: Overall, 180 physicians (67.8% female) from 25 countries responded. Among respondents, 62.2% expected sustaining optimal glycemic control in children with T1D and CD (T1D + CD) to be more difficult than in children with T1D alone. Majority (81.1%) agreed that more specific guidelines are needed. The followup routine for patients with T1D + CD differed, and one-quarter of physicians scheduled more frequent follow-up checkups for these patients. Seventy percent agreed multidisciplinary outpatient clinics for their follow-up is needed. In the multivariate ordinal logistic regression model, a statistically significant predictor of a higher degree of practice according to ISPAD 2022 guidelines was a higher level of country income (OR = 3.34; p < 0.001). Conclusions: These results showed variations in physicians’ practices regarding managing CD in children with T1D, emphasizing the need for more specific guidelines and intensive education of physicians in managing this population, especially in lower-income countries. Our data also suggest the implementation of multidisciplinary outpatient clinics for their follow-up. © 2024 S. Karger AG, Basel.
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    Managing Children and Adolescents with Type 1 Diabetes and Coexisting Celiac Disease: Real-World Data from a Global Survey
    (2024)
    Raicevic, Maja (57193134434)
    ;
    Rosanio, Francesco Maria (56095363800)
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    Jeronimo dos Santos, Tiago (37080460700)
    ;
    Chobot, Agata (16041594500)
    ;
    Piona, Claudia (36118161200)
    ;
    Cudizio, Laura (57204854286)
    ;
    Alsaffar, Hussain (57221317224)
    ;
    Dumic, Katja (25227543200)
    ;
    Aftab, Sommayya (55353324300)
    ;
    Shaunak, Meera (57202707627)
    ;
    Mozzillo, Enza (6506651484)
    ;
    Vukovic, Rade (37027529000)
    Introduction: Celiac disease (CD) is among the diseases most commonly associated with type 1 diabetes (T1D). This study aimed to evaluate the worldwide practices and attitudes of physicians involved in pediatric diabetes care regarding diagnosing and managing CD in children with T1D. Methods: The 30-item survey was conducted between July and December 2023 aimed at targeting pediatricians with special interest in T1D and CD. It was shared by the JENIOUS – young investigators group of the International Society of Pediatric and Adolescent Diabetes (ISPAD) – and the YES – early career group of the European Society for Pediatric Endocrinology (ESPE). Results: Overall, 180 physicians (67.8% female) from 25 countries responded. Among respondents, 62.2% expected sustaining optimal glycemic control in children with T1D and CD (T1D + CD) to be more difficult than in children with T1D alone. Majority (81.1%) agreed that more specific guidelines are needed. The followup routine for patients with T1D + CD differed, and one-quarter of physicians scheduled more frequent follow-up checkups for these patients. Seventy percent agreed multidisciplinary outpatient clinics for their follow-up is needed. In the multivariate ordinal logistic regression model, a statistically significant predictor of a higher degree of practice according to ISPAD 2022 guidelines was a higher level of country income (OR = 3.34; p < 0.001). Conclusions: These results showed variations in physicians’ practices regarding managing CD in children with T1D, emphasizing the need for more specific guidelines and intensive education of physicians in managing this population, especially in lower-income countries. Our data also suggest the implementation of multidisciplinary outpatient clinics for their follow-up. © 2024 S. Karger AG, Basel.
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