Literature DB >> 23354926

Optimal HbA1c cutoff for detecting diabetic retinopathy.

Nam H Cho1, Tae Hyuk Kim, Se Joon Woo, Kyu Hyung Park, Soo Lim, Young Min Cho, Kyong Soo Park, Hak C Jang, Sung Hee Choi.   

Abstract

The associations between high glucose levels and diabetic retinopathy have been the basis for the diagnosis of diabetes. We aimed to provide updated data on the relationship between HbA1c and diabetic retinopathy, and to assess the diagnostic accuracy of the proposed HbA1c cutoff for detecting diabetic retinopathy. This cross-sectional study included 3,403 adults from the 2009 to 2010 Ansung Cohort Study. Retinopathy was assessed with single-field nonmydriatic fundus photography and graded according to the International Clinical Diabetic Retinopathy Disease Severity Scale. HbA1c was measured by standardized assay using high performance liquid chromatography. Based on deciles distribution, the prevalence of retinopathy was very low until the HbA1c range of 48-51 mmol/mol (6.5-6.8 %). The optimal HbA1c cutoff for detecting any diabetic retinopathy was 49 mmol/mol (6.6 %), moderate or severer retinopathy was 52 mmol/mol (6.9 %) from receiver operating characteristic curve analysis. The proposed HbA1c threshold of 48 mmol/mol (6.5 %) from American Diabetes Association produced comparable accuracy for identifying both any and moderate/severer retinopathy. This study confirmed that the proposed HbA1c threshold of 48 mmol/mol (6.5 %) allowed the proper detection of diabetic retinopathy. Our data support the judicious use of HbA1c for the diagnosis of diabetes and detecting diabetic retinopathy as well.

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Year:  2013        PMID: 23354926     DOI: 10.1007/s00592-013-0452-3

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  22 in total

Review 1.  Physiology and its importance for reference intervals.

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2.  Using Patient Health Profile Evaluation for Predicting the Likelihood of Retinopathy in Patients with Type 2 Diabetes: A Cross-Sectional Study Using Latent Profile Analysis.

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Review 3.  Evidence for current diagnostic criteria of diabetes mellitus.

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4.  Incidence and Predictors of Cataract among People with Type 2 Diabetes Mellitus: Using Secondary Data Analysis from the Ansan Cohort of the Korean Genome and Epidemiology Study.

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Journal:  J Korean Acad Nurs       Date:  2022-02       Impact factor: 0.984

Review 5.  The optimal cutoff value of glycated hemoglobin for detection of diabetic retinopathy.

Authors:  Jung Min Kim; Dong-Jun Kim
Journal:  Diabetes Metab J       Date:  2015-02       Impact factor: 5.376

6.  Diagnosing diabetes with hemoglobin a1c: current debates and considerations for anemic patients.

Authors:  Tae Hyuk Kim; Sung Hee Choi
Journal:  Diabetes Metab J       Date:  2013-10       Impact factor: 5.376

Review 7.  HbA1c for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?

Authors:  Bernd Kowall; Wolfgang Rathmann
Journal:  Diabetes Metab Syndr Obes       Date:  2013-11-29       Impact factor: 3.168

8.  Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study.

Authors:  Ein Oh; Tae Keun Yoo; Eun-Cheol Park
Journal:  BMC Med Inform Decis Mak       Date:  2013-09-13       Impact factor: 2.796

9.  Prevalence of Diabetes and Prediabetes according to Fasting Plasma Glucose and HbA1c.

Authors:  Ja Young Jeon; Seung-Hyun Ko; Hyuk-Sang Kwon; Nan Hee Kim; Jae Hyeon Kim; Chul Sik Kim; Kee-Ho Song; Jong Chul Won; Soo Lim; Sung Hee Choi; Myoung-Jin Jang; Yuna Kim; Kyungwon Oh; Dae Jung Kim; Bong-Yun Cha
Journal:  Diabetes Metab J       Date:  2013-10-17       Impact factor: 5.376

Review 10.  The Accuracy of Diagnostic Methods for Diabetic Retinopathy: A Systematic Review and Meta-Analysis.

Authors:  Vicente Martínez-Vizcaíno; Iván Cavero-Redondo; Celia Álvarez-Bueno; Fernando Rodríguez-Artalejo
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

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