Literature DB >> 8314447

Glycated haemoglobin, plasma glucose and diabetic retinopathy: cross-sectional and prospective analyses.

Q Z Liu1, D J Pettitt, R L Hanson, M A Charles, R Klein, P H Bennett, W C Knowler.   

Abstract

Among Pima Indians with Type 2 (non-insulin-dependent) diabetes mellitus the relationships between glycated haemoglobin (HbA1), fasting or 2-h post-load plasma glucose and diabetic retinopathy were examined by cross-sectional and prospective analyses, and the strengths of the associations were directly compared by receiver operating characteristic analysis. In the cross-sectional analysis, HbA1, fasting and 2-h plasma glucose were each significantly related to retinopathy among 789 diabetic subjects by separate logistic models. In a stepwise multiple logistic model in which HbA1, fasting and 2-h plasma glucose were included, HbA1 was selected as having the strongest association with retinopathy and neither fasting nor 2-h plasma glucose contributed significantly to the model once HbA1 was entered. Similarly, in the prospective analysis, HbA1, fasting and 2-h plasma glucose all predicted retinopathy in 227 diabetic subjects by separate proportional-hazards models. In a stepwise proportional-hazards model with HbA1, fasting and 2-h plasma glucose available to the model, HbA1 was again selected as having the strongest association with the incidence of retinopathy, and neither fasting nor 2-h plasma glucose significantly added to the prediction of retinopathy. A receiver operating characteristic analysis was used to determine if HbA1 was statistically significantly better than fasting or 2-h plasma glucose in assessing the risk for retinopathy. In neither the cross-sectional nor the prospective data did the area under the receiver operating characteristic curve for HbA1 differ significantly from that for fasting or 2-h plasma glucose (p > 0.05 for each).(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8314447     DOI: 10.1007/bf00402279

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  21 in total

1.  Quantitiative determination of glycosylated hemoglobin A1 by agar gel electrophoresis.

Authors:  L Menard; M E Dempsey; L A Blankstein; H Aleyassine; M Wacks; J S Soeldner
Journal:  Clin Chem       Date:  1980-10       Impact factor: 8.327

2.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

3.  An alternative method of grading diabetic retinopathy.

Authors:  R Klein; B E Klein; Y L Magli; R J Brothers; S M Meuer; S E Moss; M D Davis
Journal:  Ophthalmology       Date:  1986-09       Impact factor: 12.079

4.  Measurement of hemoglobin A1 by liquid chromatography and by agar gel electrophoresis compared.

Authors:  E J Hayes; R E Gleason; J S Soeldner; M Wacks; L Blankstein
Journal:  Clin Chem       Date:  1981-03       Impact factor: 8.327

5.  Diabetic retinopathy study. Report Number 6. Design, methods, and baseline results. Report Number 7. A modification of the Airlie House classification of diabetic retinopathy. Prepared by the Diabetic Retinopathy.

Authors: 
Journal:  Invest Ophthalmol Vis Sci       Date:  1981-07       Impact factor: 4.799

6.  Risk factors for diabetic retinopathy: a population-based study in Rochester, Minnesota.

Authors:  D J Ballard; L J Melton; M S Dwyer; J C Trautmann; C P Chu; W M O'Fallon; P J Palumbo
Journal:  Diabetes Care       Date:  1986 Jul-Aug       Impact factor: 19.112

7.  Glycosylated hemoglobin predicts the incidence and progression of diabetic retinopathy.

Authors:  R Klein; B E Klein; S E Moss; M D Davis; D L DeMets
Journal:  JAMA       Date:  1988-11-18       Impact factor: 56.272

8.  Incidence of diabetic retinopathy and relationship to baseline plasma glucose and blood pressure.

Authors:  A Teuscher; H Schnell; P W Wilson
Journal:  Diabetes Care       Date:  1988-03       Impact factor: 19.112

9.  Proliferative retinopathy in NIDDM. Incidence and risk factors in Pima Indians.

Authors:  R G Nelson; J A Wolfe; M B Horton; D J Pettitt; P H Bennett; W C Knowler
Journal:  Diabetes       Date:  1989-04       Impact factor: 9.461

10.  Retinopathy in older type II diabetics. Association with glucose control.

Authors:  D M Nathan; D E Singer; J E Godine; C H Harrington; L C Perlmuter
Journal:  Diabetes       Date:  1986-07       Impact factor: 9.461

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  10 in total

Review 1.  Glycated haemoglobin in the year 2000.

Authors:  E S Kilpatrick
Journal:  J Clin Pathol       Date:  2000-05       Impact factor: 3.411

Review 2.  A multifocal electroretinogram model predicting the development of diabetic retinopathy.

Authors:  Marcus A Bearse; Anthony J Adams; Ying Han; Marilyn E Schneck; Jason Ng; Kevin Bronson-Castain; Shirin Barez
Journal:  Prog Retin Eye Res       Date:  2006-09-01       Impact factor: 21.198

Review 3.  New concepts in diabetes mellitus. II: Complications.

Authors:  M Vanderpump; R Taylor
Journal:  Postgrad Med J       Date:  1994-07       Impact factor: 2.401

4.  Prediction model for high glycated hemoglobin concentration among ethnic Chinese in Taiwan.

Authors:  Kuo-Liong Chien; Hung-Ju Lin; Bai-Chin Lee; Hsiu-Ching Hsu; Ming-Fong Chen
Journal:  Cardiovasc Diabetol       Date:  2010-09-27       Impact factor: 9.951

5.  Comparison of tests for glycated haemoglobin and fasting and two hour plasma glucose concentrations as diagnostic methods for diabetes.

Authors:  D R McCance; R L Hanson; M A Charles; L T Jacobsson; D J Pettitt; P H Bennett; W C Knowler
Journal:  BMJ       Date:  1994-05-21

6.  Long-term instability of fasting plasma glucose predicts mortality in elderly NIDDM patients: the Verona Diabetes Study.

Authors:  M Muggeo; G Verlato; E Bonora; F Ciani; P Moghetti; R Eastman; G Crepaldi; R de Marco
Journal:  Diabetologia       Date:  1995-06       Impact factor: 10.122

7.  Hemoglobin A1c for the diagnosis of diabetes: To replace or to guide oral glucose tolerance tests?

Authors:  Hung-Yuan Li; Wen-Ya Ma; Jung-Nan Wei; Mao-Shin Lin; Shyang-Rong Shih; Chi Sheng Hung; Cyue-Huei Hua; Lee-Ming Chuang
Journal:  J Diabetes Investig       Date:  2012-06-06       Impact factor: 4.232

8.  Effects of Cyclo-His-Pro-enriched yeast hydrolysate on blood glucose levels and lipid metabolism in obese diabetic ob/ob mice.

Authors:  Eun Young Jung; Yang Hee Hong; Chung Park; Hyung Joo Suh
Journal:  Nutr Res Pract       Date:  2015-12-24       Impact factor: 1.926

9.  Postmeal triglyceridemia and variability of HbA1c and postmeal glycemia were predictors of annual decline in estimated glomerular filtration rate in type 2 diabetic patients with different stages of nephropathy.

Authors:  Ayaka Tsuboi; Akiko Takenouchi; Miki Kurata; Keisuke Fukuo; Tsutomu Kazumi
Journal:  J Diabetes Metab Disord       Date:  2017-01-11

10.  Four-year incidence of diabetic retinopathy in a Spanish cohort: the MADIABETES study.

Authors:  Miguel Á Salinero-Fort; Francisco Javier San Andrés-Rebollo; Carmen de Burgos-Lunar; Francisco Jesús Arrieta-Blanco; Paloma Gómez-Campelo
Journal:  PLoS One       Date:  2013-10-17       Impact factor: 3.240

  10 in total

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