title: Predictive value of serum apolipoprotein B/apolipoprotein A-I ratio in metabolic syndrome risk: a Chinese cohort study.
abstract: The purpose of this study was to evaluate whether the apolipoprotein B/apolipoprotein A-I (apoB/apoA-I) ratio is a promising risk predictor of metabolic syndrome (MetS) and to determine the optimal cut-off value of this ratio in detecting subjects with MetS in a Chinese population. A prospective study was conducted using a representative sample of non-institutionized people in Taiwan. A total of 3,343 participants with mean age (±SD) of 39.86 (±15.61) years old were followed up from 2002 to 2007. The primary outcome was the incidence of MetS. The MetS was defined according to a unified criterion established by several major organizations. There were 462 cases of incident MetS during a mean follow-up period of 5.26 years. A significantly stepwise increase in the incidence of MetS across quartiles of the apoB/apoA-I ratio was noted in both sexes after adjustment for potential confounders (p for trend <0.001). Compared with the lowest quartile of apoB/apoA-I ratio, participants in the highest quartile had a significantly higher risk of MetS in both men [adjusted hazard ratio (HR) = 6.29, 95 % confidence interval (CI) = 2.79-9.13] and women (adjusted HR = 3.82, 95 % CI = 1.06-6.63). Comparisons of receiver operating characteristics curves indicated that the predictive ability of apoB/apoA-I ratio to detect MetS was better than conventional lipid ratio measurements. Furthermore, the optimal cut-off value of apoB/apoA-I ratio for MetS diagnosis was 0.71 in men and 0.56 in women. These results suggest that an elevated apoB/apoA-I ratio might constitute a potentially crucial measure linked to the risk of developing MetS.
authors.affiliation: School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
authors.forename: Yu-Ching
authors.initials: YC
authors.lastname: Chou
authors.forename: Jen-Chun
authors.initials: JC
authors.lastname: Kuan
authors.forename: Chyi-Huey
authors.initials: CH
authors.lastname: Bai
authors.forename: Tsan
authors.initials: T
authors.lastname: Yang
authors.forename: Wan-Yun
authors.initials: WY
authors.lastname: Chou
authors.forename: Po-Chien
authors.initials: PC
authors.lastname: Hsieh
authors.forename: San-Lin
authors.initials: SL
authors.lastname: You
authors.forename: Lee-Ching
authors.initials: LC
authors.lastname: Hwang
authors.forename: Chien-Hua
authors.initials: CH
authors.lastname: Chen
authors.forename: Cheng-Yu
authors.initials: CY
authors.lastname: Wei
authors.forename: Chien-An
authors.initials: CA
authors.lastname: Sun
mesh_terms: D000328:Adult; D016632:Apolipoprotein A-I / Q000097:blood*; D001055:Apolipoproteins B / Q000097:blood*; D015415:Biomarkers / Q000097:blood*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000453:epidemiology; D008875:Middle Aged; D011237:Predictive Value of Tests; D012306:Risk; D013624:Taiwan / Q000453:epidemiology
chemical_list: D016632:Apolipoprotein A-I; D001055:Apolipoproteins B; D015415:Biomarkers