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

Muhammad A. Karamat; Umar Y. Raja; Susan E. Manley; Alan Jones; Wasim Hanif; Abd A. Tahrani

doi:10.1186/s12902-017-0153-y

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

Muhammad A. Karamat^*, Umar Y. Raja, Susan E. Manley, Alan Jones, Wasim Hanif, Abd A. Tahrani

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

Background: Despite 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.

Methods: A prospective study in which patients admitted with ACS to two UK teaching hospitals were assessed at baseline and 3months follow-up.

Results: The 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 3months.

Conclusions: Only 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.

Original language	English
Article number	3
Journal	BMC Endocrine Disorders
Volume	17
Issue number	3
DOIs	https://doi.org/10.1186/s12902-017-0153-y
Publication status	Published - 23 Jan 2017

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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

abstract = "Background: Despite 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. Methods: A prospective study in which patients admitted with ACS to two UK teaching hospitals were assessed at baseline and 3months follow-up. Results: The 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 3months. Conclusions: Only 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.",

author = "Karamat, {Muhammad A.} and Raja, {Umar Y.} and Manley, {Susan E.} and Alan Jones and Wasim Hanif and Tahrani, {Abd A.}",

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AU - Karamat, Muhammad A.

AU - Raja, Umar Y.

AU - Manley, Susan E.

AU - Jones, Alan

AU - Hanif, Wasim

AU - Tahrani, Abd A.

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N2 - Background: Despite 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. Methods: A prospective study in which patients admitted with ACS to two UK teaching hospitals were assessed at baseline and 3months follow-up. Results: The 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 3months. Conclusions: Only 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.

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