| AZ | EN | RU


AN INNOVATIVE APPROACH TO THE SCREENING OF DIABETES AND PREDIABETES
Aliyeva A.Z., Sultanova S.S., Mirzazade V.A.


DOI: 10.61775/2413-3302.v3i41.05


SUMMARY
The sharp increase in the prevalence of diabetes mellitus (DM) and its complications leads to an extremely high level of severity of this disease. Therefore, early detection of DM will undoubtedly affect the expected increase in the number of cases in the future. In recent decades, the use of questionnaires has been widely used in the diagnosis of DM. However, the number of questionnaires for the detection of prediabetes is very small. The aim of the presented article is to identify new indicators for screening not only DM but also prediabetes, and to study the interrelationship between these indicators. Material and Methods. The study included anamnestic and anthropometric data of 182 people, as well as the participation of each person undergoing examination in various questionnaires. Then, statistical analysis was conducted, and the relationship between the results of laboratory examinations and the indicators of the participants in the study was studied. As a result, age, waist circumference, body mass index, systolic and diastolic blood pressure, arterial hypertension in history, high blood glucose in the absence of diabetes, gestational diabetes in history, the incidence of diabetes in first-degree relatives, and physical activity level were included in the new questionnaire. Results. Based on statistical calculations, the use of new indicators, namely the fasting glucose index and the calculated glucose tolerance test two hours after the glucose index, was taught. The use of cut-off points for both indices allowed to detect 100% of patients with diabetes, 67-69% of prediabetes, 83-85% of people with normal carbohydrate metabolism. Conclusion. The newly created indices, which are considered innovative in the modernizing and globalizing world, will be used as an online calculator and its use will be available to everyone online.
Keywords: fasting glucose, glucose tolerance test, screening, diabetes, prediabetes


REFERENCES
  1. Centers for Disease Control and Prevention. National Diabetes Statistics Report. 2020; https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf
  2. Vasavada A, Taub LFM. Diabetes Mellitus Screening. [Updated 2022 Oct 31]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; Available from: https://www.ncbi.nlm.nih.gov/books/NBK554615/
  3. Public Health Agency of Canada. CANRİSK: the Canadian diabetes Risk Questionnaire. 2011; 16p. https://www.healthycanadians.gc.ca/en/canrisk
  4. Viveca G., Dan H., Jaakko T., Lars R. et al. Measuring risk online-feasibility of using FINDRISC in an online workplace survey // Primary Care Diabetes, 2012; 6 (2): 103-107. doi: 10.1016/j.pcd.2011.12.003
  5. Wong KC, Brown AM, Li SC. AUSDRISK - application in general practice. Aust Fam Physician. 2011 Jul;40(7):524-6
  6. Purnell JQ. Definitions, Classification, and Epidemiology of Obesity. 2023 May 4. In: Feingold KR, Adler RA, Ahmed SF, Anawalt B, et al, editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000.
  7. Comparison of proportions calculator. www.medicalc.org Comparison of proportions calculator. https://www.medcalc.org/calc/comparison_of proportions.php
  8. Simple linear regression calculator. https://stats.blue/Stats_Suite/correlation_regression_calculator.html
  9. Multiple linear regression calculator. https://stats.blue/Stats_Suite/multiple_linear_regression_calculator.html
  10. Marcus R., Neil P., Brian W., Enrique S. Youden Index and optimal cut point estimated from observations affected by a lower limit of detection // Biom J. 2008; 50: 419-30. doi:10.1002/bimj.200710415