Ethnicity and prognosis following a cardiovascular event in people with and without type 2 diabetes: Observational analysis in over 5 million subjects in England

Remsing, Sandra; Abner, Sophia; Reeves, Katharine; Coles, Briana; Lawson, Claire; Gillies, Clare; Razieh, Cameron; Yates, Thomas; Davies, Melanie J.; Lilford, Richard; Khunti, Kamlesh; Zaccardi, Francesco

doi:10.1016/j.diabres.2022.109967

Cited by 4 publications

(1 citation statement)

References 42 publications

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“…As people age, the glucose sensitivity of pancreatic cells decline and insulin secretion is impaired, leading to hyperglycemia and T2DM [ 39 ]. Several studies reported differences in the incidence of diabetes between ethnic groups [ 40 – 42 ] and confirmed that ethnicity could be a predictors of diabetes [ 40 , 43 – 46 ]. In our study, we used Uyghur as a reference, with Han and Hui ethnic groups exhibiting a heightened susceptibility to diabetes.…”

Section: Discussionmentioning

confidence: 94%

Machine learning for predicting diabetes risk in western China adults

Lin

Cheng

et al. 2023

Diabetol Metab Syndr

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Objective Diabetes mellitus is a global epidemic disease. Long-time exposure of patients to hyperglycemia can lead to various type of chronic tissue damage. Early diagnosis of and screening for diabetes are crucial to population health. Methods We collected the national physical examination data in Xinjiang, China, in 2020 (a total of more than 4 million people). Three types of physical examination indices were analyzed: questionnaire, routine physical examination and laboratory values. Integrated learning, deep learning and logistic regression methods were used to establish a risk model for type-2 diabetes mellitus. In addition, to improve the convenience and flexibility of the model, a diabetes risk score card was established based on logistic regression to assess the risk of the population. Results An XGBoost-based risk prediction model outperformed the other five risk assessment algorithms. The AUC of the model was 0.9122. Based on the feature importance ranking map, we found that hypertension, fasting blood glucose, age, coronary heart disease, ethnicity, parental diabetes mellitus, triglycerides, waist circumference, total cholesterol, and body mass index were the most important features of the risk prediction model for type-2 diabetes. Conclusions This study established a diabetes risk assessment model based on multiple ethnicities, a large sample and many indices, and classified the diabetes risk of the population, thus providing a new forecast tool for the screening of patients and providing information on diabetes prevention for healthy populations.

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Section: Discussionmentioning

confidence: 94%

Machine learning for predicting diabetes risk in western China adults

Lin

Cheng

et al. 2023

Diabetol Metab Syndr

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Life expectancy following a cardiovascular event in individuals with and without type 2 diabetes: A UK multi-ethnic population-based observational study

Chudasama¹,

Khunti²,

Coles³

et al. 2023

Nutrition, Metabolism and Cardiovascular Diseases

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Unlocking the Cardiovascular Benefits of Walnuts: Insights on Molecular Mechanism From Animal Studies

Tepavčević,

Zec,

Stojiljković

et al. 2024

Nutrition Reviews

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The health-promoting benefits of walnut consumption are substantially ascribed to its fatty acid (FA) profile, which is rich in polyunsaturated FA with an exceptionally high n-3 to n-6 ratio. There are also phytonutrients in walnuts that are linked to health welfare. This review article integrates all studies on the effects of walnuts on the cardiovascular system performed on experimental animals, and thus is a source of data on the mechanisms underlying the observed effects. These studies, which are very diverse in experimental design, indicate that a diet enriched with walnuts or treating animals with walnut extract or chemical constituents of walnuts, has many favorable effects on heart and vascular system function. The cardiovascular effect of walnuts depends on the metabolic status of the organism. Among the cardiovascular effects of walnuts is that they improve the FA profile in the circulation and heart in favor of n-3 polyunsaturated FAs. In addition, a favorable effect on triglyceride and cholesterol status, which reduces cardiovascular disease risk, is observed. Intake of walnuts promotes FA catabolism and has anti-inflammatory, antioxidant, and antiarrhythmic effects. Walnuts also have a beneficial effect on vascular tone, accompanied by a decrease in blood pressure and reduced risk for atherosclerosis. In conclusion, studies on experimental animals encourage the consumption of walnuts as a simple, convenient approach to improve cardiovascular health.

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Ethnicity and prognosis following a cardiovascular event in people with and without type 2 diabetes: Observational analysis in over 5 million subjects in England

Cited by 4 publications

References 42 publications

Machine learning for predicting diabetes risk in western China adults

Machine learning for predicting diabetes risk in western China adults

Life expectancy following a cardiovascular event in individuals with and without type 2 diabetes: A UK multi-ethnic population-based observational study

Unlocking the Cardiovascular Benefits of Walnuts: Insights on Molecular Mechanism From Animal Studies

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