Clinical surrogate markers for predicting metabolic syndrome in middle-aged and elderly Chinese.
Clinical surrogate markers for predicting metabolic syndrome in middle-aged and elderly Chinese.
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DOI:
10.1111/jdi.12708
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发表时间:
2018-03
影响因子:
3.2
通讯作者:
Xie P
中科院分区:
文献类型:
--
作者:
Li R;Li Q;Cui M;Yin Z;Li L;Zhong T;Huo Y;Xie P
The present study evaluated the ability of lipid accumulation product (LAP), visceral adiposity index (VAI), and the product of triglycerides and glucose (TyG), three novel markers, in identifying metabolic syndrome (MetS) with different criteria in middle‐aged and elderly Chinese. During June 2012 to January 2013, 992 consecutive patients (age ≥40 years) were enrolled at Daping Hospital. The criteria of MetS were based on the International Diabetes Federation and the modified National Cholesterol Education Program's Adult Treatment Panel III. VAI, LAP and TyG were computed based on a published mathematical model. The prevalence of MetS was 42.8%. The receiver operating characteristic curve found LAP, VAI and TyG were positively related to MetS in both criteria. The optimal cut‐offs of VAI, LAP and TyG for the modified National Cholesterol Education Program's Adult Treatment Panel III and International Diabetes Federation criteria were 2.015, 31.465 and 8.706, and 2.035, 37.99 and 8.697, respectively. After adjustment of potential confounding factors, VAI, LAP and TyG were significantly correlated with MetS in all criteria according to optimal cut‐offs. For MetS, reliable predictive value was observed in different subgroups (age and sex). LAP showed the greatest area under the curve in MetS with the International Diabetes Federation definition (area under the curve 0.887, 95% confidence interval 0.852–0.922). AP, VAI and TyG were reliable surrogate markers for identifying MetS in middle‐aged and elderly Chinese. LAP could be a better parameter than VAI and TyG for predicting MetS in the present study.
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影响因子:
1.9
作者:
Knowles KM;Paiva LL;Sanchez SE;Revilla L;Lopez T;Yasuda MB;Yanez ND;Gelaye B;Williams MA
通讯作者:
Williams MA
影响因子:
2.1
作者:
Kahn HS
通讯作者:
Kahn HS
影响因子:
5.8
作者:
Taverna, Mariano J.;Martinez-Larrad, Maria T.;Serrano-Rios, Manuel
通讯作者:
Serrano-Rios, Manuel
影响因子:
3.7
作者:
Lee SH;Kwon HS;Park YM;Ha HS;Jeong SH;Yang HK;Lee JH;Yim HW;Kang MI;Lee WC;Son HY;Yoon KH
通讯作者:
Yoon KH
影响因子:
120.7
作者:
Lakka, HM;Laaksonen, DE;Salonen, JT
通讯作者:
Salonen, JT