ECE2020 Audio ePoster Presentations Diabetes, Obesity, Metabolism and Nutrition (285 abstracts)
1Russian Gerontology Research and Clinical Centre, laboratory of age-related endocrine and metabolic disorders, Moscow, Russian Federation; 2Russian Gerontology Research and Clinical Centre, laboratory of cardiovascular ageing, Moscow, Russian Federation; 3Russian Gerontology Research and Clinical Centre, Moscow, Russian Federation
Aim of the study: To assess the most important metabolic factors in centenarians and their impact on mortality and prognosis
Materials and methods: Itwasalongitudinalstudy, including 82 centenarians (95 years and older), who live in Moscow. Complex geriatric assessment and blood tests were performed. Complex geriatric assessment included past medical history, FRAIL, IADL-C, MNA, GDS-15 and MOCA scores. We also analyzed levels of HbA1c, cholesterol, LDL, HDL. QoL questionnaires were used as well. In one year after the investigations we contacted patients’ relatives or social workers to find out about patients’ status. The statistical analysis was performed usingIBM SPSS Statistics package Version 26. Statistically significant were differences with P < 0.05.
Results: Mean age of the patients was 98,3 [±1.9] years, while 87.8% of the cohort were women. Analyzing functional status we found out that 34,4% of the patients were frail, and the number of prefrail patients was 56,2%. Cognitive impairments of different severity were presented in 84,4% of the patients. The median lipids valueswere as follows: total cholesterol – 4,8 [4.2;5.8], triglycerides – 0.97 [0.8; 1.2], HDL – 1.3 [4.2; 5.8), LDL – 3,1 [2.6; 3.7], HbA1c –5.8 [5.6; 6.1]. In 59% of the patients HbA1c was below 6%; 33% had concentrations between 6% and 6.4%, and only in 8% we found HbA1c higher than 6.5%. None of the patients received any sugar-lowering therapy and only 2 (3.2%) were previouslydiagnosed with diabetes. No correlation was also found between HbA1c values and lipids profile. After dividing patients into subgroups depending on stage of carbohydrate metabolism disorders we did not notice any statistically significant differences in lipid profile in them (P = 0.005). Comparing survivors and non-survivors groups we did not find any significant differences in total cholesterol, LDL, HDL and HbA1c (P < 0.005). While comparing functional status and QoL with metabolic profile we discovered positive correlation (r = .834) between total cholesterol and index of instrumental activity, and between LDL and IADL as well as MNA score (r = .732 and .634 respectively).
Conclusion: In centenarians usual prognostic factors such as HbA1c and lipids do not have any impact on survivalbut they influence functional status and QoL. Further investigations of metabolic status in super old personsare needed to personalize their lifestyle and treatment goals.