Postprandial Blood Glucose Outweighs Fasting Blood Glucose and HbA1c in screening Coronary Heart Disease

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 schedu...

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Veröffentlicht in:Scientific reports 2017-10, Vol.7 (1), p.14212-7, Article 14212
Hauptverfasser: Jiang, Jingjing, Zhao, Lin, Lin, Liu, Gui, Minghui, Aleteng, Qiqige, Wu, Bingjie, Wang, Shanshan, Pan, Baishen, Ling, Yan, Gao, Xin
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container_title Scientific reports
container_volume 7
creator Jiang, Jingjing
Zhao, Lin
Lin, Liu
Gui, Minghui
Aleteng, Qiqige
Wu, Bingjie
Wang, Shanshan
Pan, Baishen
Ling, Yan
Gao, Xin
description 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 
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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 &lt; 0.01), PBG (r = 0.20, p &lt; 0.01), and HbA1c (r = 0.19, p &lt; 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.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-017-14152-y</identifier><identifier>PMID: 29079813</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/163/2743/137/138 ; 692/4019/2776 ; Angiography ; Blood ; Blood glucose ; Cardiovascular disease ; Cardiovascular diseases ; Coronary artery disease ; Diabetes ; Diabetes mellitus ; Fasting ; Glucose ; Glucose metabolism ; Glucose tolerance ; Heart diseases ; Hemoglobin ; Humanities and Social Sciences ; Insulin ; Insulin resistance ; Laboratory testing ; Medical imaging ; multidisciplinary ; Performance assessment ; Science ; Science (multidisciplinary)</subject><ispartof>Scientific reports, 2017-10, Vol.7 (1), p.14212-7, Article 14212</ispartof><rights>The Author(s) 2017</rights><rights>2017. 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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 &lt; 0.01), PBG (r = 0.20, p &lt; 0.01), and HbA1c (r = 0.19, p &lt; 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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29079813</pmid><doi>10.1038/s41598-017-14152-y</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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subjects 692/163/2743/137/138
692/4019/2776
Angiography
Blood
Blood glucose
Cardiovascular disease
Cardiovascular diseases
Coronary artery disease
Diabetes
Diabetes mellitus
Fasting
Glucose
Glucose metabolism
Glucose tolerance
Heart diseases
Hemoglobin
Humanities and Social Sciences
Insulin
Insulin resistance
Laboratory testing
Medical imaging
multidisciplinary
Performance assessment
Science
Science (multidisciplinary)
title Postprandial Blood Glucose Outweighs Fasting Blood Glucose and HbA1c in screening Coronary Heart Disease
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