Prevalence of undiagnosed type 2 diabetes in patients admitted with acute coronary syndrome: the utility of easily reproducible screening methods

BMC Endocrine Disorders

Research Article

Alan Jones¹  Susan E. Manley²  Umar Y. Raja³  Wasim Hanif³  Muhammad A. Karamat⁴  Abd A. Tahrani⁵ 

[1] Department of Clinical Chemistry, Heartlands Hospital Birmingham, Birmingham, UK;Department of Clinical Chemistry, Queen Elizabeth Hospital, Birmingham, UK;Department of Diabetes, Queen Elizabeth Hospital, Birmingham, UK;Department of Endocrinology and Diabetes, Heartlands Hospital Birmingham, Birmingham, UK;Institute of Metabolism and Systems, School of Clinical and Experimental Medicine, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK;Department of Endocrinology and Diabetes, Heartlands Hospital Birmingham, Birmingham, UK;Institute of Metabolism and Systems, School of Clinical and Experimental Medicine, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK;Centre of Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK;

关键词: Acute Coronary Syndrome;    Oral Glucose Tolerance Test;    Impair Glucose Tolerance;    Impaired Fasting Glucose;    Screening Algorithm;   

DOI  :  10.1186/s12902-017-0153-y

 received in 2016-05-29, accepted in 2017-01-03,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundDespite the recognition of the importance of diagnosing dysglycaemia in patients with acute coronary syndrome (ACS) there remains a lack of consensus on the best screening modality. Our primary aims were to determine the prevalence of undiagnosed dysglycaemia and to compare the OGTT and HbA1c criteria for diagnosis of T2DM in patients admitted to hospital with ACS at baseline and at 3-months. We also aimed to investigate the role of a screening algorithm and a predictor score to define glucose tolerance in this population.MethodsA prospective study in which patients admitted with ACS to two UK teaching hospitals were assessed at baseline and 3 months follow-up.ResultsThe prevalence of diabetes at baseline was 20% and 16% based on OGTT and HbA1c criteria respectively. Forty three (43) % of the patients with T2DM based on OGTT would have been missed by the HbA1c criteria at baseline. Our screening algorithm identified 87% of patients with T2DM diagnosed with OGTT. Diabetes Predictor score had better sensitivity (>80%) and negative predictive value (>90%) compared to HbA1c criteria. Two thirds of participants with IGS and a third with T2DM changed their glycaemic status at 3 months.ConclusionsOnly 48% of the patients admitted with ACS had normo-glycaemia based on OGTT. OGTT and HbA1c identified two different populations of patients with dysglycaemia with the HbA1c criteria missing almost half the patients with T2DM based on OGTT. Compared to HbA1c criteria our diabetes algorithm and diabetes predictor score had a better correlation with OGTT criteria.

【 授权许可】

CC BY   
© The Author(s). 2017