Ying-hui Gao, H. Rao, Rui‐feng Yang, J. Shang, Hong Chen, Jun Li, Q. Xie, Zhiliang Gao, Lei Wang, Jia Wei, Jianning Jiang, Yongtao Sun, R. Fei, Haiying Zhang, X. Kong, Q. Jin, Jian Wang
{"title":"中国汉族丙型肝炎患者代谢综合征的患病率及危险因素","authors":"Ying-hui Gao, H. Rao, Rui‐feng Yang, J. Shang, Hong Chen, Jun Li, Q. Xie, Zhiliang Gao, Lei Wang, Jia Wei, Jianning Jiang, Yongtao Sun, R. Fei, Haiying Zhang, X. Kong, Q. Jin, Jian Wang","doi":"10.3760/CMA.J.ISSN.1000-6680.2018.10.005","DOIUrl":null,"url":null,"abstract":"Objective \nTo evaluate the prevalence and risk factors of metabolic syndrome among hepatitis C patients in Chinese Han population. \n \n \nMethods \nThis was a multicenter, cross-sectional study. A total of 997 Chinese Han patients with hepatitis C virus (HCV) infection were enrolled. Demographic data, anthropometric data and clinical parameters related to metabolic syndrome were collected. Statistical analysis was performed by t-test (normal distribution) or Mann-Whitney U two-sample test (non-normal distribution) and χ2 test. Binary logistic regression analyses were used to determine the parameters significantly related to metabolic syndrome. \n \n \nResults \nAmong the 997 patients, 170 (17.1%) patients were diagnosed with metabolic syndrome. Binary logistic regression showed that genotype 2 (OR=1.594; 95%CI: 1.045-2.431, P=0.030), older age (OR=1.040; 95%CI: 1.022-1.058, P<0.01), overweight (OR=3.876; 95%CI: 2.593-5.792, P<0.01), fatty liver history (OR=2.106; 95%CI: 1.384-3.204, P=0.001), homeostasis model assessment insulin (HOMA-IR) (OR=1.263; 95%CI: 1.118-1.427, P<0.01), fasting insulin (OR=0.949; 95%CI: 0.915-0.985, P=0.006), lower serum albumin level (OR=0.957; 95%CI: 0.915-1.000, P=0.049) and higher γ-GT level (OR=1.004; 95%CI: 1.000-1.008, P=0.0041) were all significantly associated with the presence of metabolic syndrome. \n \n \nConclusions \nHepatitis C patients with genotype 2, older age, overweight, fatty liver history, higher HOMA-IR, lower fasting insulin level, lower serum albumin level or higher γ-GT level should be screened for metabolic syndrome. \n \n \nKey words: \nHepatitis C chronic; Genotype; Metabolic syndrome","PeriodicalId":10127,"journal":{"name":"中华传染病杂志","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The prevalence and risk factors of metabolic syndrome among hepatitis C patients in Chinese Han population\",\"authors\":\"Ying-hui Gao, H. 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Binary logistic regression analyses were used to determine the parameters significantly related to metabolic syndrome. \\n \\n \\nResults \\nAmong the 997 patients, 170 (17.1%) patients were diagnosed with metabolic syndrome. Binary logistic regression showed that genotype 2 (OR=1.594; 95%CI: 1.045-2.431, P=0.030), older age (OR=1.040; 95%CI: 1.022-1.058, P<0.01), overweight (OR=3.876; 95%CI: 2.593-5.792, P<0.01), fatty liver history (OR=2.106; 95%CI: 1.384-3.204, P=0.001), homeostasis model assessment insulin (HOMA-IR) (OR=1.263; 95%CI: 1.118-1.427, P<0.01), fasting insulin (OR=0.949; 95%CI: 0.915-0.985, P=0.006), lower serum albumin level (OR=0.957; 95%CI: 0.915-1.000, P=0.049) and higher γ-GT level (OR=1.004; 95%CI: 1.000-1.008, P=0.0041) were all significantly associated with the presence of metabolic syndrome. \\n \\n \\nConclusions \\nHepatitis C patients with genotype 2, older age, overweight, fatty liver history, higher HOMA-IR, lower fasting insulin level, lower serum albumin level or higher γ-GT level should be screened for metabolic syndrome. \\n \\n \\nKey words: \\nHepatitis C chronic; Genotype; Metabolic syndrome\",\"PeriodicalId\":10127,\"journal\":{\"name\":\"中华传染病杂志\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华传染病杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/CMA.J.ISSN.1000-6680.2018.10.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华传染病杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.ISSN.1000-6680.2018.10.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The prevalence and risk factors of metabolic syndrome among hepatitis C patients in Chinese Han population
Objective
To evaluate the prevalence and risk factors of metabolic syndrome among hepatitis C patients in Chinese Han population.
Methods
This was a multicenter, cross-sectional study. A total of 997 Chinese Han patients with hepatitis C virus (HCV) infection were enrolled. Demographic data, anthropometric data and clinical parameters related to metabolic syndrome were collected. Statistical analysis was performed by t-test (normal distribution) or Mann-Whitney U two-sample test (non-normal distribution) and χ2 test. Binary logistic regression analyses were used to determine the parameters significantly related to metabolic syndrome.
Results
Among the 997 patients, 170 (17.1%) patients were diagnosed with metabolic syndrome. Binary logistic regression showed that genotype 2 (OR=1.594; 95%CI: 1.045-2.431, P=0.030), older age (OR=1.040; 95%CI: 1.022-1.058, P<0.01), overweight (OR=3.876; 95%CI: 2.593-5.792, P<0.01), fatty liver history (OR=2.106; 95%CI: 1.384-3.204, P=0.001), homeostasis model assessment insulin (HOMA-IR) (OR=1.263; 95%CI: 1.118-1.427, P<0.01), fasting insulin (OR=0.949; 95%CI: 0.915-0.985, P=0.006), lower serum albumin level (OR=0.957; 95%CI: 0.915-1.000, P=0.049) and higher γ-GT level (OR=1.004; 95%CI: 1.000-1.008, P=0.0041) were all significantly associated with the presence of metabolic syndrome.
Conclusions
Hepatitis C patients with genotype 2, older age, overweight, fatty liver history, higher HOMA-IR, lower fasting insulin level, lower serum albumin level or higher γ-GT level should be screened for metabolic syndrome.
Key words:
Hepatitis C chronic; Genotype; Metabolic syndrome