Preview

Diabetes mellitus

Advanced search

«DIARISK» — the first national prediabetes and diabetes mellitus type 2 risk calculator

https://doi.org/10.14341/DM12570

Abstract

BACKGRAUND: The need to create a national questionnaire for screening the population for disorders of carbohydrate metabolism.

AIMS: Develop a highly specific and sensitive questionnaire-calculator of the risk of prediabetes (PreD) and diabetes mellitus type 2 (DM2T) based on depersonalized data of individuals who have these diagnoses confirmed in the national epidemiological study NATION.

METHODS: The express method of prediabetes (PreD) and diabetes mellitus type 2 (DM2T) risks has been created, validated and proposed for clinical usage for the first time in the Russian Federation, it was based of NATION epidemiologic study database (more than 26 000 participants). The following mathematical instruments have been used: mathematic modelling, main components methodology, binary variables, correlation analysis and single-factor analysis of variance.

RESULTS: Highest coefficients of logistic regression for PreD (p<0.05) were identified for age — ≥52 years old for women and ≥59 years old for men (1,48); body mass index ≥31 (0.75); waist circumference ≥100 сm for women and ≥112 cm for men (0.90). In the same time coefficients for DM2T were for for age — ≥52 years old for women and ≥59 years old for men (1,24); body mass index ≥31 (1,19), high blood fasting glucose analysis in the past (1,37); waist circumference / hip circumference ratio ≥0.85 for women and ≥0.92 for men (1,05), high blood pressure (0.69). Correlation coefficients were taken into account and score has been used for specialized questionnaire creation. Sensitivity and specificity for PreD were 83,8% and 59,3% accordingly, for DM2T — 85,4% and 73,6% accordingly. DM2T may be suspected when total score of questionnaire is 11 and higher, and PreD — when total score will be ≥7 and <11.

CONCLUSIONS: The calculator based on questionnaire (DIARISK) allows to separate of potential patient for PreD and DM2T confirmation during first examination or dispanserization. A patent for innovation has been issued.

About the Authors

Marina V. Shestakova
Endocrinology Research Centre; I.M. Sechenov First Moscow State Medical University
Russian Federation

MD, PhD, Professor

eLibrary SPIN: 7584-7015

11 Dm.Ulyanova street, Moscow, 117036



Alexey S. Kolbin
Pavlov First Saint Petersburg State Medical University; Saint Petersburg State University
Russian Federation

MD, PhD, Professor

eLibrary SPIN: 7966-0845

Saint Petersburg



Gagik R. Galstyan
Endocrinology Research Centre
Russian Federation

MD, PhD, Professor

eLibrary SPIN: 9815-7509

Moscow



Maria A. Arepeva
Saint Petersburg State University
Russian Federation

Assistant, Dept of mathematics

Saint Petersburg



Ekaterina L. Zaitseva
Endocrinology Research Centre
Russian Federation

MD, PhD

eLibrary SPIN: 1075-3022

Moscow


Competing Interests:

Конфликт интересов отсутствует



Alexander Y. Mayorov
Endocrinology Research Centre
Russian Federation

MD, PhD

eLibrary SPIN: 4275-7779

Moscow



Oleg I. Karpov
Sanofi Russia
Russian Federation

MD, PhD, Professor

Moscow



Maxim A. Proskurin
Saint Petersburg State University
Russian Federation

eLibrary SPIN: 7406-2352

Saint Petersburg



Aleksey A. Kurylev
Pavlov First Saint Petersburg State Medical University
Russian Federation

MD, PhD

eLibrary SPIN: 4470-7845

Saint Petersburg



Ivan I. Dedov
Endocrinology Research Centre
Russian Federation

MD, PhD, Professor

eLibrary SPIN: 5873

Moscow



References

1. Dedov II, Shestakova MV, Vikulova OK. Epidemiology of diabetes mellitus in Russian Federation: clinical and statistical report according to the federal diabetes registry. Diabetes Mellitus. 2017;20(1):13-41 (In Russ.). doi: https://doi.org/10.14341/DM8664

2. Dedov II, Shestakova MV, Galstyan GR. The prevalence of type 2 diabetes mellitus in the adult population of Russia (NATION study). Diabetes Mellitus. 2016;19(2):104-112 (In Russ.). https://doi.org/10.14341/DM2004116-17

3. Sabanov VI, Dyachenko TS, Gorbatkova IV, Berdnik EJ. Effectiveness of screening questionnaire identifying the populations with type II diabetes. Volgogradskiy nauchno-medicinskiy zhurnal. 2010;28(4):23-26 (In Russ.).

4. Dedov II, Shestakova MV, Mayorov AYu, et al. Clinical Guidelines. Diabetes Mellitus Type 2 in adults. Diabetes mellitus. 2020;23(S2):1-103 (In Russ.). https://doi.org/10.14341/DM23S2

5. Dogadin SA, Krizhanovskaya EV, Vinogradova SV, et al. Rezultati skrininga zhiteley Krasnoyarska na sakharniy diabet. Diabetes Mellitus. 2004;7(1):8-10 (In Russ.). https://doi.org/10.14341/2072-0351-5893

6. Galstyan GR. International guidelines on the study of glycated hemoglobin (HbA1c) level as a diagnostic criterion for diabetes mellitus and other disorders of carbohydrate metabolism. Diabetes Mellitus. 2010;4:57-61 (In Russ.). https://doi.org/10.14341/2072-0351-6059

7. Shestakova MV, Kolbin AS, Karpov OI, et al. An economic value of the glycated hemoglobin test in diabetes mellitus type 2 diagnosis. Diabetes Mellitus. 2019;22(6):504-514 (In Russ.). https://doi.org/10.14341/DM12205

8. Lindstrom J, Tuomilehto J. The Diabetes Risk Score: A practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-731. https://doi.org/10.2337/diacare.26.3.725

9. American diabetes association (ADA) risk calculator. Доступно по: https://www.mdcalc.com/american-diabetes-association-ada-risk-calculator. Ссылка активна на 06.07.2020.

10. Singh AK, Gupta R, Ghosh A, Misra A. Diabetes in COVID-19: Prevalence, pathophysiology, prognosis and practical considerations. Diabetes Metab Syndr Clin Res Rev. 2020;14(4):303-310. https://doi.org/10.1016/j.dsx.2020.04.004

11. Bornstein SR, Rubino F, Khunti K, et al. Practical recommendations for the management of diabetes in patients with COVID-19. Lancet Diabetes Endocrinol. 2020;8(6):546-550. https://doi.org/10.1016/S2213-8587(20)30152-2

12. American Diabetes Association Standards of Medical Care in Diabetes — 2018. Diabetes Care. 2018;41(S.1). https://doi.org/10.2337/dc18-Sint01

13. Osnovi teorii statistiki. Uchebnoe posobie / Ed. Polyakova VV, Shabrova NV. Ural Federal Univers. 2-d Ed., Ekaterinburg; 2015:1-148 (In Russ.). ISBN 978-5-7996-1520-8

14. Ayvazyan SA, Bukhshtaber VM, Enyukov IS, Meshalkin LD. Prikladnaya statistika. Klassifi acia i snizhenie razmernosti. M.: Finansi i statistika; 1989:1-607 (In Russ.).

15. Green DM, Swets JA. Signal detection theory and psychophysics. New York, NY: John Wiley and Sons Inc.; 1966. ISBN 0-471-32420-5

16. Yudenkov VA. Dispersionniy analiz. Minsk: Biznesofset; 2013. 76 р. (In Russ.)

17. Heikes KE, Eddy DM, Arondekar B, Schlessinger L. Diabetes Risk Calculator: A simple tool for detecting undiagnosed diabetes and pre-diabetes. Diabetes Care. 2008;31(5):10401045. https://doi.org/10.2337/dc07-1150

18. Rajput R, Garg K, Rajput M. Prediabetes Risk Evaluation Scoring System [PRESS]: A simplifi scoring system for detecting undiagnosed Prediabetes. Prim Care Diabetes. 2019;13(1):11-15. https://doi.org/10.1016/j.pcd.2018.11.011


Supplementary files

Review

For citations:


Shestakova M.V., Kolbin A.S., Galstyan G.R., Arepeva M.A., Zaitseva E.L., Mayorov A.Y., Karpov O.I., Proskurin M.A., Kurylev A.A., Dedov I.I. «DIARISK» — the first national prediabetes and diabetes mellitus type 2 risk calculator. Diabetes mellitus. 2020;23(5):404-411. (In Russ.) https://doi.org/10.14341/DM12570

Views: 2869


ISSN 2072-0351 (Print)
ISSN 2072-0378 (Online)