Browsing by Author "Guillemin, Francis (34976591800)"
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Publication Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017(2018) ;Kyu, Hmwe Hmwe (57217040073) ;Abate, Degu (57204237665) ;Abate, Kalkidan Hassen (57207943858) ;Abay, Solomon M. (35306466900) ;Abbafati, Cristiana (54917122400) ;Abbasi, Nooshin (57212442022) ;Abbastabar, Hedayat (57212441848) ;Abd-Allah, Foad (36503428900) ;Abdela, Jemal (57200613000) ;Abdelalim, Ahmed (7801307783) ;Abdollahpour, Ibrahim (36997151900) ;Abdulkader, Rizwan Suliankatchi (57195295816) ;Abebe, Molla (57211131124) ;Abebe, Zegeye (57193002719) ;Abil, Olifan Zewdie (57204558002) ;Aboyans, Victor (56214736500) ;Abrham, Aklilu Roba (57202704637) ;Abu-Raddad, Laith Jamal (14032724700) ;Abu-Rmeileh, Niveen M.E. (57216675148) ;Accrombessi, Manfred Mario Kokou (55353650500) ;Acharya, Dilaram (56770895600) ;Acharya, Pawan (56435749900) ;Ackerman, Ilana N. (8925517400) ;Adamu, Abdu A. (57202024381) ;Adebayo, Oladimeji M. (57194329853) ;Adekanmbi, Victor (53463192900) ;Ademi, Zanfina (32867460300) ;Adetokunboh, Olatunji O. (56598104300) ;Adib, Mina G. (57204560513) ;Adsuar, Jose C. (21738958900) ;Afanvi, Kossivi Agbelenko (57189844785) ;Afarideh, Mohsen (56227034300) ;Afshin, Ashkan (57217465455) ;Agarwal, Gina (57220151944) ;Agesa, Kareha M. (57204562362) ;Aggarwal, Rakesh (7203024985) ;Aghayan, Sargis Aghasi (57202646096) ;Agrawal, Anurag (35214460700) ;Ahmadi, Alireza (56336080700) ;Ahmadi, Mehdi (16644923000) ;Ahmadieh, Hamid (57203677679) ;Ahmed, Muktar Beshir (57207802317) ;Ahmed, Sayem (58601030100) ;Aichour, Amani Nidhal (57195486768) ;Aichour, Ibtihel (57195485980) ;Aichour, Miloud Taki Eddine (57195488258) ;Akinyemiju, Tomi (57202561503) ;Akseer, Nadia (57207801968) ;Al-Aly, Ziyad (9738161500) ;Al-Eyadhy, Ayman (24554080400) ;Al-Mekhlafi, Hesham M. (8625547100) ;Al-Raddadi, Rajaa M. 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(55247644500) ;Anwari, Palwasha (57217465526) ;Arabloo, Jalal (57208760927) ;Aremu, Olatunde (57214958833) ;Ärnlöv, Johan (6602512227) ;Arora, Amit (36676951800) ;Arora, Megha (57196080797) ;Artaman, Al (57217223811) ;Aryal, Krishna K. (57203859052) ;Asayesh, Hamid (55334322800) ;Ataro, Zerihun (57204563849) ;Ausloos, Marcel (7101798907) ;Avila-Burgos, Leticia (8530790100) ;Avokpaho, Euripide F.G.A. (57209842037) ;Awasthi, Ashish (58420926700) ;Ayala Quintanilla, Beatriz Paulina (55598298700) ;Ayer, Rakesh (56051098100) ;Azzopardi, Peter S. (56861081000) ;Babazadeh, Arefeh (57200079032) ;Badali, Hamid (15123728900) ;Balakrishnan, Kalpana (7103222725) ;Bali, Ayele Geleto (57204564615) ;Banach, Maciej (22936699500) ;Banoub, Joseph Adel Mattar (57204568975) ;Barac, Aleksandra (55550748700) ;Barboza, Miguel A. (56650777100) ;Barker-Collo, Suzanne Lyn (57193065514) ;Bärnighausen, Till Winfried (23011726900) ;Barquera, Simon (6601928375) ;Barrero, Lope H. 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(57204569391) ;Lafranconi, Alessandra (55767061200) ;Lalloo, Ratilal (57189334553) ;Lallukka, Tea (6508300634) ;Lami, Faris Hasan (57200737005) ;Lang, Justin J. (57189384487) ;Langan, Sinéad M. (55490520500) ;Lansingh, Van C. (57194598546) ;Latifi, Arman (57203006419) ;Lau, Kathryn Mei-Ming (57204566924) ;Lazarus, Jeffrey V. (55431519100) ;Leasher, Janet L. (57197789738) ;Ledesma, Jorge R. (57204449040) ;Lee, Paul H. (57200302692) ;Leigh, James (7202089604) ;Leili, Mostafa (57204565987) ;Leshargie, Cheru Tesema (57195295462) ;Leung, Janni (57214397752) ;Levi, Miriam (54893035000) ;Lewycka, Sonia (57212496031) ;Li, Shanshan (57216631901) ;Li, Yichong (57218426673) ;Liang, Xiaofeng (26662590300) ;Liao, Yu (56746945000) ;Liben, Misgan Legesse (57188568119) ;Lim, Lee-Ling (56988527400) ;Lim, Stephen S. (57201800433) ;Limenih, Miteku Andualem (57194062676) ;Linn, Shai (7102590173) ;Liu, Shiwei (57209574351) ;Looker, Katharine J. (57202553673) ;Lopez, Alan D. 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(57198311895) ;Yano, Yuichiro (57196965200) ;Yaseri, Mehdi (23029507000) ;Yasin, Yasin Jemal (57204565144) ;Yeshaneh, Alex (57204564144) ;Yimer, Ebrahim M. (57202256312) ;Yip, Paul (7102503720) ;Yisma, Engida (55556060700) ;Yonemoto, Naohiro (57204947657) ;Yoon, Seok-Jun (24823148900) ;Yotebieng, Marcel (26325950800) ;Younis, Mustafa Z. (8549393000) ;Yousefifard, Mahmoud (57204566585) ;Yu, Chuanhua (57208140344) ;Zadnik, Vesna (57202975428) ;Zaidi, Zoubida (57197376721) ;Zaman, Sojib Bin (57193070058) ;Zamani, Mohammad (57096222300) ;Zandian, Hamed (57205175627) ;Zar, Heather J. (7006236599) ;Zenebe, Zerihun Menlkalew (57200737185) ;Zipkin, Ben (57200737130) ;Zhou, Maigeng (57054557200) ;Zodpey, Sanjay (7003415080) ;Zucker, Inbar (47461733200) ;Zuhlke, Liesl Joanna (57209027746)Murray, Christopher J.L. (55481130700)Background: How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted lifeyears (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severityof ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-speci?c mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1-7·8), from 65·6 years (65·3-65·8) in 1990 to 73·0 years (72·7-73·3) in 2017. The increase in years of life varied from 5·1 years (5·0-5·3) in high SDI countries to 12·0 years (11·3-12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1-33·1) were expected to be spent in poor health in high SDI countries compared with 11·7% (8·8-15·1) in low-middle SDI countries. HALE at birth increased by 6·3 years (5·9-6·7), from 57·0 years (54·6-59·1) in 1990 to 63·3 years (60·5-65·7) in 2017. The increase varied from 3·8 years (3·4-4·1) in high SDI countries to 10·5 years (9·8-11·2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1·0 year (0·4-1·7) in Saint Vincent and the Grenadines (62·4 years [59·9-64·7] in 1990 to 63·5 years [60·9-65·8] in 2017) to 23·7 years (21·9-25·6) in Eritrea (30·7 years [28·9-32·2] in 1990 to 54·4 years [51·5-57·1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1·4 years (0·6-2·3) in Algeria to 11·9 years (10·9-12·9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75·8 years [72·4-78·7]) and males (72·6 years [69·8-75·0]) and the lowest estimates were in Central African Republic (47·0 years [43·7-50·2] for females and 42·8 years [40·1-45·6] for males). Globally, in 2017, the ?ve leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41·3% (38·8-43·5) for communicable diseases and by 49·8% (47·9-51·6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40·1% (36·8-43·0), although age-standardised DALY rates decreased by 18·1% (16·0-20·2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low SDI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health. Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. - Some of the metrics are blocked by yourconsent settings
Publication Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017(2018) ;Lozano, Rafael (7102198442) ;Fullman, Nancy (57211064970) ;Abate, Degu (57204237665) ;Abay, Solomon M. (35306466900) ;Abbafati, Cristiana (54917122400) ;Abbasi, Nooshin (57212442022) ;Abbastabar, Hedayat (57212441848) ;Abd-Allah, Foad (36503428900) ;Abdela, Jemal (57200613000) ;Abdelalim, Ahmed (7801307783) ;Abdel-Rahman, Omar (55777635800) ;Abdi, Alireza (56845014200) ;Abdollahpour, Ibrahim (36997151900) ;Abdulkader, Rizwan Suliankatchi (57195295816) ;Abebe, Nebiyu Dereje (57192680787) ;Abebe, Zegeye (57193002719) ;Abejie, Ayenew Negesse (57203015573) ;Abera, Semaw F. 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(36248136000)Serván-Mori, Edson (57202594826)Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license - Some of the metrics are blocked by yourconsent settings
Publication Prevalence of rheumatoid arthritis in Serbia(2014) ;Zlatković-Švenda, Mirjana I. (16067770800) ;Stojanović, Roksanda M. (7003903081) ;Šipetić-Grujičić, Sandra B. (6701802171)Guillemin, Francis (34976591800)The aim of this study was to estimate the prevalence of rheumatoid arthritis (RA) in Serbia, using the European EULAR project methodology. In a detection phase, a previously translated and validated telephone Questionnaire was used by lay interviewers on 6,213 randomly selected telephone numbers representing urban population from four Serbian towns: Belgrade (north), Cacak, Uzice and Krusevac (south). Patients with suspected RA were called again by a rheumatologist. For patients with self-reported diagnosis and positive symptoms, patient's rheumatologist was contacted to confirm diagnosis; a complete rheumatologist examination was scheduled for those with positive symptoms only. Prevalence estimates were standardised for age and sex in relation to Serbian population (census 2002) and further to French population, according to EULAR project methodology. The response rate was 63.6 % (3,950 respondents). The rheumatologist called 571 people, among whom 23 RA cases were confirmed (21 diagnosed previously and 2 newly diagnosed during the examination). The prevalence was 0.16 % (95 % confidence interval CI 0.01-0.32) for men and 0.51 % (95 % CI 0.26-0.76) for women; a female-to-male ratio 3.18. The overall Serbian standardised prevalence was 0.35 % (95 % CI 0.18-0.52); when standardised on French population 0.34 % (95 % CI 0.17-0.51). The highest age-specific rate was in the 65-74-year age band. The EULAR prevalence study, conducted with similar methodology and design, showed that RA prevalence estimates in Serbia (0.34 %) were in accordance with France (0.31 %), but lower than in Lithuania (0.55 %). © 2013 Springer-Verlag. - Some of the metrics are blocked by yourconsent settings
Publication Prevalence of rheumatoid arthritis in Serbia(2014) ;Zlatković-Švenda, Mirjana I. (16067770800) ;Stojanović, Roksanda M. (7003903081) ;Šipetić-Grujičić, Sandra B. (6701802171)Guillemin, Francis (34976591800)The aim of this study was to estimate the prevalence of rheumatoid arthritis (RA) in Serbia, using the European EULAR project methodology. In a detection phase, a previously translated and validated telephone Questionnaire was used by lay interviewers on 6,213 randomly selected telephone numbers representing urban population from four Serbian towns: Belgrade (north), Cacak, Uzice and Krusevac (south). Patients with suspected RA were called again by a rheumatologist. For patients with self-reported diagnosis and positive symptoms, patient's rheumatologist was contacted to confirm diagnosis; a complete rheumatologist examination was scheduled for those with positive symptoms only. Prevalence estimates were standardised for age and sex in relation to Serbian population (census 2002) and further to French population, according to EULAR project methodology. The response rate was 63.6 % (3,950 respondents). The rheumatologist called 571 people, among whom 23 RA cases were confirmed (21 diagnosed previously and 2 newly diagnosed during the examination). The prevalence was 0.16 % (95 % confidence interval CI 0.01-0.32) for men and 0.51 % (95 % CI 0.26-0.76) for women; a female-to-male ratio 3.18. The overall Serbian standardised prevalence was 0.35 % (95 % CI 0.18-0.52); when standardised on French population 0.34 % (95 % CI 0.17-0.51). The highest age-specific rate was in the 65-74-year age band. The EULAR prevalence study, conducted with similar methodology and design, showed that RA prevalence estimates in Serbia (0.34 %) were in accordance with France (0.31 %), but lower than in Lithuania (0.55 %). © 2013 Springer-Verlag. - Some of the metrics are blocked by yourconsent settings
Publication Prevalence of spondyloarthritis and its subtypes - Are they really comparable?(2019) ;Zlatković-Švenda, Mirjana I. (16067770800) ;Stojanović, Roksanda M. (7003903081) ;Šipetić-Grujičić, Sandra B. (6701802171) ;Radak-Perović, Marija M. (6507787195)Guillemin, Francis (34976591800)Introduction/Objective Increasing spondyloarthritis (SpA) prevalence in the last several decades cannot be attributed to disease manifestations alone. The objective of this paper is to review the prevalence of SpA and its subtypes: ankylosing spondylitis (AS), psoriatic arthritis (PsA), reactive arthritis (ReA), SpA related to inflammatory bowel disease (IBD) and undifferentiated SpA (UnSpA). Methods MEDLINE literature search was done via PubMed, Google Scholar, and Embase databases, using terms for spondyloarthritis, and prevalence, with an additional hand searching. Results As compared with southern European countries, northern European countries (Scotland, Sweden, France) showed lower SpA prevalence rates (0.21-0.45% vs. 1.06% and 1.35% in Italy and Turkey, respectively). The lowest world SpA prevalence was in African and Southeast Asian countries (0-0.19%), and the highest was in Alaska (2.5%). The widest variability in PsA prevalence was in Europe (northern 0.02-0.19%, southern 0.42%). The lowest world PsA prevalence was in Japan (0.001%), followed by China (0.01-0.10%). The European ReA prevalence ranged from 0.04% in Greece to 0.10% in Serbia and Germany, and the European UnSpA prevalence varied from 0.02% in Serbia to 0.67% in Germany; the highest world UnSpA prevalence was in Lebanon (3.4%). Studies aimed at estimating the SpA prevalence differed in sampling strategy and confirmation criteria, different cutoffs for age groups inclusion, presentation of standardized or row results, etc. Conclusion Variation in the SpA prevalence cannot be attributed to genetic or geographic distribution only. Differences in methodology of studies add to the diversification, described more in-depth in this review. © 2019 Serbia Medical Society. All rights reserved. - Some of the metrics are blocked by yourconsent settings
Publication Prevalence of spondyloarthritis in Serbia: A EULAR endorsed study(2015) ;Zlatkovic-Svenda, Mirjana I. (16067770800) ;Stojanovic, Roksanda M. (7003903081) ;Sipetic-Grujicic, Sandra B. (6701802171) ;Radak-Perovic, Marija M. (6507787195) ;Damjanov, Nemanja S. (8503557800)Guillemin, Francis (34976591800)[No abstract available] - Some of the metrics are blocked by yourconsent settings
Publication Prevalence of spondyloarthritis in Serbia: A EULAR endorsed study(2015) ;Zlatkovic-Svenda, Mirjana I. (16067770800) ;Stojanovic, Roksanda M. (7003903081) ;Sipetic-Grujicic, Sandra B. (6701802171) ;Radak-Perovic, Marija M. (6507787195) ;Damjanov, Nemanja S. (8503557800)Guillemin, Francis (34976591800)[No abstract available] - Some of the metrics are blocked by yourconsent settings
Publication Rheumatoid arthritis and spondyloarthritis prevalence in four European countries – a comparative study(2022) ;Zlatković-Švenda, Mirjana (16067770800) ;Saraux, Alain (56514844800) ;Tuncer, Tiraje (6603914253) ;Dadoniene, Jolanta (55934469600) ;Miltiniene, Dalia (57041332000) ;Gilgil, Erdal (6506830120) ;Stojanović, Roksanda (7003903081)Guillemin, Francis (34976591800)Introduction/Objective The objective was to compare rheumatoid arthritis (RA), spondyloarthritis (SpA) and subtypes of SpA prevalence in four European countries. Methods A 33-items detection questionnaire, containing self-reported diagnosis, classification criteria for RA and SpA, personal and family history, was translated using cross-cultural adaptation and validated in France, Turkey, Lithuania and Serbia, where it was used on a population sample. Suspected cases were evaluated and confirmed by a rheumatologist. Prevalence estimates were age-and sex-standardized to European standard population. Results In total, 33,454 people older than 18 years were screened and 31,454 interviewed: France 14,671, Lithuania 6,558, Serbia 6,213, Turkey 4,012. Standardized RA prevalence varied from 0.29% (95% CI: 0.17–0.40) in France to 0.57% (0.31–0.84) in Turkey; this inequality was mostly caused by differences in women prevalence (from 0.42% in France to 1.02% in Turkey) SpA prevalence was similar in France (0.30%), Serbia (0.35%) and Turkey (0.37%), but in Lithuania it was 0.89%, which could be caused by geographic and genetic differences, as SpA prevalence was higher in North and East Europe, as well as the human leukocyte antigen B27 presence. SpA prevalence was equally presented by gender for France and Serbia. Regarding SpA subtypes, ankylosing spondylitis prevalence varied from 0.07–0.30% (Serbia–Lithuania), PsA 0.10–0.26% (France–Lithuania), reactive arthritis was 0.09–0.18% (Serbia–Lithuania). Previously non-diagnosed SpA cases were found in 6.9% in France, 25.9% in Lithuania and 31.2% in Serbia. Conclusion East–West decreasing tendency for the female RA prevalence was noted. SpA was higher in North-Eastern Europe than in its Western and Southern part. One quarter of the SpA patients in Lithuania and one third in Serbia were not previously diagnosed. The SpA population prevalence was higher than expected and similar to RA. © 2022, Serbia Medical Society. All rights reserved.
