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• W2943530213 abstract "Background . This study involved the development of a predictive 5-year morbidity nomogram for cardiovascular diseases (CVD) in Xinjiang Kazakhs based on cytokine levels. Methods . The nomogram was based on a baseline survey of the town of Nalati in the Kazakh Autonomous Prefecture of Xinjiang from 2009 to 2013. By 2016, we had monitored 1508 people for a median time of 5.17 years and identified CVD events in the study population by collecting case information from local hospitals. The study population was divided into the training (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>1005</mml:mn></mml:math>) and validation cohorts (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M2><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>503</mml:mn></mml:math>) in a 2 : 1 ratio. The area under the receiver operating characteristic curve (AUC) was used to verify the predictive accuracy of the nomogram. The result was assessed in a validation cohort. Results . At the end of the study, the incidence of CVD in Xinjiang Kazakhs was found to be 11.28%. We developed a new nomogram to predict the 5-year incidence of CVD based on age, interleukin-6 (IL-6), and adiponectin (APN) levels, diastolic blood pressure, and dyslipidemia. The AUC for the predictive accuracy of the nomogram was 0.836 (95% confidence interval: 0.802–0.869), which was higher than that for IL-6 and APN. These results were supported by validation studies. Conclusions . The nomogram model can more directly assess the risk of CVD in Kazakhs and can be used for CVD risk assessment." @default.
• W2943530213 created "2019-05-09" @default.
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• W2943530213 date "2019-05-05" @default.
• W2943530213 modified "2023-09-25" @default.
• W2943530213 title "Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs" @default.
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• W2943530213 doi "https://doi.org/10.1155/2019/4756295" @default.
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