| Investigation of the incidence of cardiovascular diseases and analysis of risk factors in Youyi Street Community in Shanghai |
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| Citation of this paper:ZHOU Jia-ye1△, SHI Mei-fang2△, LI Yi-hao1, SHEN Jun-fei1, LI Gang2, GUO Wei1, PAN Bai-shen1, WANG Bei-li1*.Investigation of the incidence of cardiovascular diseases and analysis of risk factors in Youyi Street Community in Shanghai[J].Chinese Journal of Clinical Medicine,2018,25(5):733-737 |
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| Author Name | Affiliation | | ZHOU Jia-ye1△, SHI Mei-fang2△, LI Yi-hao1, SHEN Jun-fei1, LI Gang2, GUO Wei1, PAN Bai-shen1, WANG Bei-li1* | 1.Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
2.Department of Laboratory Medicine, Baoshan District Youyi Street Community Health Service Center, Shanghai 201900, China |
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| Abstract:Objective：To explore the risk factors for predicting the end point events of cardiovascular disease by prospective nested case-control study.
Methods：The epidemiological data of 5 792 residents in Baoshan District Youyi Community in Shanghai were collected, with the unqualified samples with incomplete information and so on were excluded. Patients with a cardiovascular endpoint were enrolled in the case group and matched to the control group without a cardiovascular endpoint according to the theory of nested case control study. Serum samples were taken for biochemical and immunology tests and the associations between indicators and the cardiovascular endpoint events were analyzed.
Results：The fasting glucose (GLU) level in the case group was higher than that in the control group (P<0.05). Logistic analysis showed that GLU, ferritin, and C reactive protein (CRP) were the influencing factors predicting cardiovascular endpoint events (P<0.05), and GLU was an independent risk factor for cardiovascular endpoints events (OR=1.284, 95% CI 1.128-1.46, P=0.000).
Conclusions：GLU is an independent risk factor for cardiovascular endpoint events and can be used as a predictor,and monitoring CRP and ferritin is also beneficial for the prediction and management of cardiovascular disease. |
| keywords:nested case-control study cardiovascular diseases fasting glucose C reactive protein |
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