The prevalence and risk factors of metabolic syndrome among hepatitis C patients in Chinese Han population / 中华传染病杂志
Chinese Journal of Infectious Diseases
; (12): 599-604, 2018.
Article
in Zh
| WPRIM
| ID: wpr-734141
Responsible library:
WPRO
ABSTRACT
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 χ 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 .
Full text:
1
Database:
WPRIM
Type of study:
Clinical_trials
/
Etiology_studies
/
Observational_studies
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Prevalence_studies
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Prognostic_studies
/
Risk_factors_studies
Language:
Zh
Journal:
Chinese Journal of Infectious Diseases
Year:
2018
Document type:
Article