Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs
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 20...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Mediators of Inflammation |
| Online Access: | http://dx.doi.org/10.1155/2019/4756295 |
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| author | Lei Mao Xianghui Zhang Yunhua Hu Xinping Wang Yanpeng Song Jia He Wenwen Yang Jiaolong Ma Yizhong Yan Lati Mu Jingyu Zhang Kui Wang Heng Guo Rulin Ma Shuxia Guo |
| author_facet | Lei Mao Xianghui Zhang Yunhua Hu Xinping Wang Yanpeng Song Jia He Wenwen Yang Jiaolong Ma Yizhong Yan Lati Mu Jingyu Zhang Kui Wang Heng Guo Rulin Ma Shuxia Guo |
| author_sort | Lei Mao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e715e8fbe1734a1fa7621647ce668455 |
| institution | OA Journals |
| issn | 0962-9351 1466-1861 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Mediators of Inflammation |
| spelling | doaj-art-e715e8fbe1734a1fa7621647ce6684552025-08-20T02:21:10ZengWileyMediators of Inflammation0962-93511466-18612019-01-01201910.1155/2019/47562954756295Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang KazakhsLei Mao0Xianghui Zhang1Yunhua Hu2Xinping Wang3Yanpeng Song4Jia He5Wenwen Yang6Jiaolong Ma7Yizhong Yan8Lati Mu9Jingyu Zhang10Kui Wang11Heng Guo12Rulin Ma13Shuxia Guo14Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, ChinaBackground. 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.http://dx.doi.org/10.1155/2019/4756295 |
| spellingShingle | Lei Mao Xianghui Zhang Yunhua Hu Xinping Wang Yanpeng Song Jia He Wenwen Yang Jiaolong Ma Yizhong Yan Lati Mu Jingyu Zhang Kui Wang Heng Guo Rulin Ma Shuxia Guo Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs Mediators of Inflammation |
| title | Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs |
| title_full | Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs |
| title_fullStr | Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs |
| title_full_unstemmed | Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs |
| title_short | Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs |
| title_sort | nomogram based on cytokines for cardiovascular diseases in xinjiang kazakhs |
| url | http://dx.doi.org/10.1155/2019/4756295 |
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