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Postprandial Blood Glucose Outweighs Fasting Blood Glucose and HbA1c in screening Coronary Heart Disease.
Jiang, Jingjing; Zhao, Lin; Lin, Liu; Gui, Minghui; Aleteng, Qiqige; Wu, Bingjie; Wang, Shanshan; Pan, Baishen; Ling, Yan; Gao, Xin.
Afiliación
  • Jiang J; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Zhao L; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Lin L; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Gui M; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Aleteng Q; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Wu B; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Wang S; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Pan B; Department of Laboratory Medicine, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Ling Y; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China.
  • Gao X; Department of Endocrinology and Metabolism, ZhongShan Hospital, Fudan University, Shanghai, China. zhongshan_endo@126.com.
Sci Rep ; 7(1): 14212, 2017 10 27.
Article en En | MEDLINE | ID: mdl-29079813
The objective of the present study is to assess the performance of fasting blood glucose (FBG), postprandial blood glucose (PBG), and glycated hemoglobin (HbA1c) as screening for coronary heart disease (CHD) in an inpatient population undergoing coronary angiography. 1852 consecutive patients scheduled for coronary angiography were classified into Normal Glucose Tolerance (NGT), Impaired Glucose Regulation (IGR), and diabetes, based on FBG, PBG, and HbA1c. Correlations of Gensini score with glucose metabolism and insulin resistance were analyzed. The associations between glycemic variables and Gensini score or the presence of CHD were analyzed by multiple linear regression and logistic regression, respectively. CHD was diagnosed in 488, 622, and 414 patients with NGT, IGR, and diabetes, respectively. Gensini score was positively correlated with FBG (r = 0.09, p < 0.01), PBG (r = 0.20, p < 0.01), and HbA1c (r = 0.19, p < 0.01). Gensini score was not correlated with fasting insulin (r = -0.081, p = 0.36), post-prandial insulin (r = -0.02, p = 0.61), or HOMAIR (r = -0.0059, p = 0.13). When FBG, PBG and HbA1c were pooled altogether, only PBG persisted in its association with Gensini score and the prevalence of CHD. The severity of CHD was associated with glucose rather than insulin resistance in this Chinese population. PBG was optimally correlated with the presence and severity of CHD.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Glucemia / Hemoglobina Glucada / Ayuno / Periodo Posprandial / Enfermedad Coronaria Tipo de estudio: Diagnostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Glucemia / Hemoglobina Glucada / Ayuno / Periodo Posprandial / Enfermedad Coronaria Tipo de estudio: Diagnostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: China