Comparative characteristics of diabetes risk scores

Мустафина, С. В.; Владимировна, Мустафина Светлана; Simonova, Galina; Ильинична, Симонова Галина; Rymar, O. D.; Дмитриевна, Рымар Оксана

doi:10.14341/dm2014317-22

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…Недорогим и доступным методом выявления лиц с высоким риском развития гипергликемии является использование шкал риска. По данным литературы, насчитывается около 10 видов шкал и ведутся дальнейшие исследования по их разработке или адаптации к различным популяциям [6].…”

Section: ââåäåíèåunclassified

Association of polymorphisms of genes TCF7L2, FABP2, KCNQ1, ADIPOQ with the prognosis of the development of type 2 diabetes mellitus

Мельникова¹,

Сергеевна²,

Rymar³

et al. 2020

Terapevticheskii arkhiv

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Aim.To study the possibility of using polymorphisms of genesTCF7L2,FABP2,KCNQ1,ADIPOQas markers for predicting the development of type 2 diabetes mellitus (T2D) in the population of Novosibirsk. Materials and methods.On the basis of prospective observation of a representative population sample of residents of Novosibirsk (HAPIEE), 2 groups were formed according to the case-control principle (case people who had diabetes mellitus 2 over 10 years of observation, and control people who did not developed disorders of carbohydrate metabolism). T2D group (n=443, mean age 56.26.7 years, men 29.6%, women 70.4%), control group (n=532, mean age 56.17.1 years, men 32.7%, women 67.3%). DNA was isolated by phenol-chloroform extraction. Genotyping was performed by the method of polymerase chain reaction with subsequent analysis of restriction fragment length polymorphism, polymerase chain reaction in real time. Statistical processing was carried out using the SPSS 16.0 software package. Results and discussion.No significant effect of rs1799883 of theFABP2gene, rs2237892 of theKCNQ1gene, and rs6773957 of theADIPOQgene on the risk of developing T2D was found. Genotypes TT and TC rs7903146 of theTCF7L2gene are genotypes for the risk of developing T2D (relative risk RR 3.90, 95% confidence interval CI 2.316.61,p0.001; RR 1.86, 95% CI 1.422.43,p0.001, respectively). The CC genotype rs7903146 of theTCF7L2gene is associated with a protective effect against T2D (RR 0.37, 95% CI 0.290.49,p0.001). When theTCF7L2gene is included in the model for assessing the risk of developing T2D rs7903146, it retains its significance in both men and women. Conclusion.The rs7903146 polymorphism of theTCF7L2gene confirmed its association with the prognosis of the development of T2D, which indicates the possibility of considering it as a candidate for inclusion in a diabetes risk meter. Variants of risk meters have been developed to assess the prognosis of the development of diabetes mellitus 2 in men and women aged 4569 years during 10 years of follow-up. The association with the prognosis of the development of T2D polymorphisms rs1799883 of theFABP2gene, rs2237892 of theKCNQ1gene and rs6773957 of theADIPOQgene was not found.

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Section: ââåäåíèåunclassified

Association of polymorphisms of genes TCF7L2, FABP2, KCNQ1, ADIPOQ with the prognosis of the development of type 2 diabetes mellitus

Мельникова¹,

Сергеевна²,

Rymar³

et al. 2020

Terapevticheskii arkhiv

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“…In many countries, 10-year risk scales for T2DM have been created on the basis of epidemiological studies [ 11 ]. These scales are based on the most specific risk factors of T2DM in a population under study.…”

Section: Resultsmentioning

confidence: 99%

“…One of the first tools to identify individuals at high risk for T2DM is the Finnish diabetes risk score (FINDRISC) [ 9 , 10 ]. This tool was later successfully validated in other countries, including Germany, Holland, Denmark, Sweden, England, and Australia, [ 10 , 11 ]. The results show good sensitivity (Se) and specificity (Sp) in Germany, the USA, Switzerland, and Canada [ 12 , 13 , 14 , 15 ], although it did not perform well among the Omani Arabs [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project

Мустафина

Rymar

Щербакова

et al. 2021

JPM

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The aim of this study is to investigate the 14-year risk of type 2 diabetes mellitus (T2DM) and develop a risk score for T2DM in the Siberian cohort. A random population sample (males/females, 45–69 years old) was examined at baseline in 2003–2005 (Health, Alcohol, and Psychosocial Factors in Eastern Europe (HAPIEE) project, n = 9360, Novosibirsk) and re-examined in 2006–2008 and 2015–2017. After excluding those with baseline T2DM, the final analysis included 7739 participants. The risk of incident T2DM during a 14-year follow-up was analysed using Cox regression. In age-adjusted models, male and female hazard ratios (HR) of incident T2DM were 5.02 (95% CI 3.62; 6.96) and 5.13 (95% CI 3.56; 7.37) for BMI ≥ 25 kg/m2; 4.38 (3.37; 5.69) and 4.70 (0.27; 6.75) for abdominal obesity (AO); 3.31 (2.65; 4.14) and 3.61 (3.06; 4.27) for fasting hyperglycaemia (FHG); 2.34 (1.58; 3.49) and 3.27 (2.50; 4.26) for high triglyceride (TG); 2.25 (1.74; 2.91) and 2.82 (2.27; 3.49) for hypertension (HT); and 1.57 (1.14; 2.16) and 1.69 (1.38; 2.07) for family history of diabetes mellitus (DM). In addition, secondary education, low physical activity (PA), and history of cardiovascular disease (CVD) were also significantly associated with T2DM in females. A simple T2DM risk calculator was generated based on non-laboratory parameters. A scale with the best quality included waist circumference >95 cm, HT history, and family history of T2DM (area under the curve (AUC) = 0.71). The proposed 10-year risk score of T2DM represents a simple, non-invasive, and reliable tool for identifying individuals at a high risk of future T2DM.

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“…Шкалы FINDRISK и ADA DRS наиболее часто используются для оценки риска развития СД2 среди лиц соответственно европейской и североамериканской популяций, тогда как в ряде стран существуют собственные шкалы риска [8]. Данные шкалы могут включать большее или меньшее число факторов риска, а также разнообразные комбинации факторов.…”

Section: распространенность сд2 у лиц с семейным анамнезом сдunclassified

Type 2 diabetes and prediabetes prevalence in patients with different risk factor combinations in the NATION study

et al. 2020

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BACKGROUND: Type 2 diabetes (T2D) is multifactorial disease. NATION epidemiological study may provide the information about the prevalence of T2D and prediabetic state in patients with different risk factor combinations in Russian population. AIMS: To evaluate the prevalence of T2D and prediabetic state in NATION cohort depending on the amount of diabetes risk factors. MATERIALS AND METHODS: NATION is an epidemiological, cross-sectional study, designed to assess the prevalence of T2D in Russian adult population, where HbA1c was used to establish T2D (HbAc6,5%) and prediabetes (5,7%HbA1c6,5%). Patients with T2D were either previously diagnosed or newly diagnosed. Current study presents an additional analysis of NATION cohort focused on the prevalence of T2D and prediabetic state among patients with different risk factor combinations. RESULTS: T2D and prediabetic state prevalence gradually increased among patients with following risk factors (prevalence of T2D and prediabetes respectively): low physical activity (4,3%, 18,3%), rare fruit and vegetable consumption (4,8%, 18,7%), T2D family history (7,7%, 20,3%), age 45 years (9,5%, 31,3%), obesity grade 1 (9,6%, 30,3%), obesity grade 2 (14,6%, 37,8%), obesity grade 3 (20,1%, 39,7%), hypertension (14,7%, 38,2%), history of diabetes during pregnancy (14,1%, 24,7%). Prevalence of T2D with single and multiple risk factors was compared to the prevalence of T2D in young patients (45 years) without additional diabetes risk factors. Age 45 years was associated with 7-fold increase in T2D prevalence; obesity 8,8-fold; family history 5,7-fold; hypertension 10,8-fold (p0,001 for comparisons of every group with patients 45 years of age without other risk factors). When one patient had several risk factors combined, the prevalence of T2D increased progressively: combination of age 45 years and family history led to 10,7-fold rise; combination of age 45 years and BMI30kg/m2 11,2-fold; combination of age 45 years, family history and BMI30kg/m2 15,3-fold; combination of age 45 years, family history, BMI30kg/m2 and hypertension 19,1-fold (p0,001 for comparisons of every group with patients 45 years of age without other risk factors). CONCLUSIONS: Presence of multiple risk factors, such as age 45 years, obesity and hypertension led to progressive increase in the prevalence of T2D and prediabetic state. These data are important to identify patients at the highest risk of T2D among Russian population.

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Comparative characteristics of diabetes risk scores

Cited by 9 publications

References 18 publications

Association of polymorphisms of genes TCF7L2, FABP2, KCNQ1, ADIPOQ with the prognosis of the development of type 2 diabetes mellitus

Association of polymorphisms of genes TCF7L2, FABP2, KCNQ1, ADIPOQ with the prognosis of the development of type 2 diabetes mellitus

The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project

Type 2 diabetes and prediabetes prevalence in patients with different risk factor combinations in the NATION study

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