Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs. (5th May 2019)

• Record Type: Journal Article
• Authors: Mao, Lei; Zhang, Xianghui; Hu, Yunhua; Wang, Xinping; Song, Yanpeng; He, Jia; Yang, Wenwen; Ma, Jiaolong; Yan, Yizhong; Mu, Lati; Zhang, Jingyu; Wang, Kui; Guo, Heng; Ma, Rulin; Guo, Shuxia
• Other Names: Economou Emmanuel Academic Editor.
• Is Part Of: Mediators of inflammation. Volume 2019(2019)
• Publication Date: 2019-05-05
• Subjects: Inflammation -- Mediators -- Periodicals; Biological response modifiers -- Periodicals; Inflammation (Pathologie) -- Médiateurs; Immunomodulateurs; Biological response modifiers; Inflammation -- Mediators; Immunology; Autacoids; Immunologic Factors; Cell Adhesion Molecules; Cell Communication; Cytokines; Inflammation; Periodicals; Electronic journals; 616.0473
• DOI: 10.1155/2019/4756295
• Languages: English
• ISSNs: 0962-9351

Abstract

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 (n = 1005 ) and validation cohorts (n = 503 ) 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.