Browsing by Author "Gajovic, Jelena Stanarcic (56089716900)"

Background: The growing body of evidence suggests that atherosclerosis risk factors are important in cognitive decline. Objective: To analyse insulin sensitivity, insulin secretion capacity, plasma insulin, adiponectin and lipid levels in normoglycaemic, nonobese patients with Alzheimer’s disease (AD) (group A, n=62), mild cognitive impairment (MCI) (group B, n=41), and healthy controls (group C, n=25). Method: Insulin sensitivity was determined by euglycemic hyperinsulinaemic clamp (M value) and homeostasis model assessment (HOMA-IR), insulin secretion capacity by first-phase insulin response (FPIR), plasma insulin by RIA, adiponectin by ELISA, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglycerides by enzymatic method. Results: Insulin sensitivity was the lowest in group A (M value: A: 6.2±2.5; B:7.7±2.7; C:8.2±1.5 mg/min/kg, p<0.001; HOMA-IR: A: 4.6±2.2; B: 3.3±1.7; C: 1.5±1.0, p<0.001) as well as FPIR (A:68.9±27.8; B:112.5±47.1; C:147.4±56.0 mU/l, p<0.001). Plasma insulin was higher in group A vs B vs C, while adiponectin was lower in group A vs B vs C. Simultaneously, total and LDL-C were higher and HDL-C levels were lower in groups A and B vs C, with no difference between groups A and B. Triglycerides did not differ between the groups. Binary logistic regression analysis identified only M value, FPIR and plasma insulin as independent predictors of AD and MCI. Conclusion: These results imply that in AD and MCI insulin resistance with increased plasma insulin and decreased FPIR may be associated with the development of AD and MCI, accompanied with milder influence of low adiponectin levels and atherogenic lipid profile. © 2017 Bentham Science Publishers.

Background: The growing body of evidence suggests that atherosclerosis risk factors are important in cognitive decline. Objective: To analyse insulin sensitivity, insulin secretion capacity, plasma insulin, adiponectin and lipid levels in normoglycaemic, nonobese patients with Alzheimer’s disease (AD) (group A, n=62), mild cognitive impairment (MCI) (group B, n=41), and healthy controls (group C, n=25). Method: Insulin sensitivity was determined by euglycemic hyperinsulinaemic clamp (M value) and homeostasis model assessment (HOMA-IR), insulin secretion capacity by first-phase insulin response (FPIR), plasma insulin by RIA, adiponectin by ELISA, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglycerides by enzymatic method. Results: Insulin sensitivity was the lowest in group A (M value: A: 6.2±2.5; B:7.7±2.7; C:8.2±1.5 mg/min/kg, p<0.001; HOMA-IR: A: 4.6±2.2; B: 3.3±1.7; C: 1.5±1.0, p<0.001) as well as FPIR (A:68.9±27.8; B:112.5±47.1; C:147.4±56.0 mU/l, p<0.001). Plasma insulin was higher in group A vs B vs C, while adiponectin was lower in group A vs B vs C. Simultaneously, total and LDL-C were higher and HDL-C levels were lower in groups A and B vs C, with no difference between groups A and B. Triglycerides did not differ between the groups. Binary logistic regression analysis identified only M value, FPIR and plasma insulin as independent predictors of AD and MCI. Conclusion: These results imply that in AD and MCI insulin resistance with increased plasma insulin and decreased FPIR may be associated with the development of AD and MCI, accompanied with milder influence of low adiponectin levels and atherogenic lipid profile. © 2017 Bentham Science Publishers.

Introduction. Managing non-communicable diseases (NCDs) requires redesigning health care delivery to achieve better coordination of services at all levels of health care. The aim of this study was improving prevention and strengthening high quality of care for NCDs by using type 2 diabetes as a model disease. Methods. The mix method approach served to analyse the impact of the intervention processes. Source of information were routine health statistics, interviews and observation. Key Performance Indicators in defined Improvement Areas assisted in the quality of diabetes care assessment. Results and discussion. During the study the National Diabetes Centre (NDC) was established. The NDC experts organized numerous educational events, 316 physicians and nurses have participated. New electronic data base was implemented in 20 pilot Primary Health Care Centres (PHCCs) with 38,833 electronic diabetes records. Conclusions. The intervention led to establishment of the NDC, strengthening competences of health care professionals and to the renewal of the Diabetes Care Units in PHCCs included in the study. © 2021 Istituto Superiore di Sanita. All rights reserved.