| Evaluation of Hemoglobin A1c Criteria to Assess Preoperative Diabetes Risk in Cardiac Surgery Patients. | |
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MedLine Citation:
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PMID: 21854260 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Abstract Objective: Hemoglobin A1c (A1C) has recently been recommended for diagnosing diabetes mellitus and diabetes risk (prediabetes). Its performance compared with fasting plasma glucose (FPG) and 2-h post-glucose load (2HPG) is not well delineated. We compared the performance of A1C with that of FPG and 2HPG in preoperative cardiac surgery patients. Methods: Data from 92 patients without a history of diabetes were analyzed. Patients were classified with diabetes or prediabetes using established cutoffs for FPG, 2HPG, and A1C. Sensitivity and specificity of the new A1C criteria were evaluated. Results: All patients diagnosed with diabetes by A1C also had impaired fasting glucose, impaired glucose tolerance, or diabetes by other criteria. Using FPG as the reference, sensitivity and specificity of A1C for diagnosing diabetes were 50% and 96%, and using 2HPG as the reference they were 25% and 95%. Sensitivity and specificity for identifying prediabetes with FPG as the reference were 51% and 51%, respectively, and with 2HPG were 53% and 51%, respectively. One-third each of patients with prediabetes was identified using FPG, A1C, or both. When testing A1C and FPG concurrently, the sensitivity of diagnosing dysglycemia increased to 93% stipulating one or both tests are abnormal; specificity increased to 100% if both tests were required to be abnormal. Conclusions: In patients before cardiac surgery, A1C criteria identified the largest number of patients with diabetes and prediabetes. For diagnosing prediabetes, A1C and FPG were discordant and characterized different groups of patients, therefore altering the distribution of diabetes risk. Simultaneous measurement of FGP and A1C may be a more sensitive and specific tool for identifying high-risk individuals with diabetes and prediabetes. |
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Authors:
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Roma Y Gianchandani; Sima Saberi; Christina A Zrull; Preethi V Patil; Leena Jha; Susan C Kling-Colson; Kenia G Gandia; Elizabeth C Dubois; Cynthia D Plunkett; Tim W Bodnar; Rodica Pop-Busui |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-8-21 |
Journal Detail:
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Title: Diabetes technology & therapeutics Volume: - ISSN: 1557-8593 ISO Abbreviation: - Publication Date: 2011 Aug |
Date Detail:
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Created Date: 2011-8-22 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100889084 Medline TA: Diabetes Technol Ther Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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1 Division of Metabolism, Endocrinology and Diabetes, University of Michigan , Ann Arbor, Michigan. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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