Literature DB >> 26630892

Limitations of A1c Interpretation.

Jessica G Shepard1, Anita Airee1, Andrew W Dake1, M Shawn McFarland1, Amit Vora1.   

Abstract

Hemoglobin A1c is the measurement of glycated hemoglobin and can aid in both the diagnosis and continued management of diabetes mellitus. Accurate glycosylated hemoglobin A1c (A1c) measurements are an essential part of decision making in the diagnosis and treatment of type 2 diabetes mellitus. Although national standards exist to eliminate technical error with A1c testing, multiple patient conditions can falsely decrease or elevate the A1c. In this review, we discuss the methods to measure A1c and the corresponding conditions that can affect the clinical utility of the test. Conditions that affect the A1c can be either those that impair erythrocyte production or alter the normal process of glycation. Some variation also has been associated with patient ethnicity and even with normal aging. We describe alternatives to A1c testing for the above clinical scenarios in an effort to make the practicing clinician aware of alternatives for glucose evaluation.

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Year:  2015        PMID: 26630892     DOI: 10.14423/SMJ.0000000000000381

Source DB:  PubMed          Journal:  South Med J        ISSN: 0038-4348            Impact factor:   0.954


  4 in total

1.  Reduction of HbA1c levels by fucoxanthin-enriched akamoku oil possibly involves the thrifty allele of uncoupling protein 1 (UCP1): a randomised controlled trial in normal-weight and obese Japanese adults.

Authors:  Nana Mikami; Masashi Hosokawa; Kazuo Miyashita; Hitoshi Sohma; Yoichi M Ito; Yasuo Kokai
Journal:  J Nutr Sci       Date:  2017-02-14

2.  Variability in Annual Fasting Glucose and the Risk of Peripheral Artery Disease in Patients with Diabetes Mellitus.

Authors:  Yu-Shan Chang; Liang-Yi Lee; I-Te Lee
Journal:  Diabetes Metab Syndr Obes       Date:  2021-09-24       Impact factor: 3.168

3.  Continuous glucose monitoring metrics for earlier identification of pre-diabetes: protocol for a systematic review and meta-analysis.

Authors:  Sara Gottfried; Laura Pontiggia; Andrew Newberg; Gregory Laynor; Daniel Monti
Journal:  BMJ Open       Date:  2022-08-25       Impact factor: 3.006

Review 4.  Erythrocyte membrane in type 2 diabetes mellitus.

Authors:  Georgiana Roxana Gabreanu; Silvana Angelescu
Journal:  Discoveries (Craiova)       Date:  2016-06-30
  4 in total

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