Literature DB >> 25396402

The HbA1c and all-cause mortality relationship in patients with type 2 diabetes is J-shaped: a meta-analysis of observational studies.

Luke W Arnold1, Zhiqiang Wang1.   

Abstract

BACKGROUND: Low blood glucose and HbA1c levels are recommended in the literature on management of diabetes. However, data have shown that low blood glucose is associated with serious adverse effects for the patients and the recommendation has been criticized. Therefore, this article revisits the relationship between HbA1c and all-cause mortality by a meta-analysis of observational studies. AIM: The aim of this study is to determine whether there is a J- or U-shaped non-linear relationship between HbA1c and all-cause mortality in type 2 diabetes patients, implying an increased risk to premature all-cause mortality at high and low levels of HbA1c.
METHODS: A comprehensive literature search was conducted using PubMed, Medline, and Cochrane Library databases with strict inclusion/exclusion criteria. The published adjusted hazard ratios (HR) with 95% confidence intervals of all-cause mortality for each HbA1c category and per study were analyzed. Fractional polynomial regression was used with random effect modeling to assess the non-linear relationship of the HR trends between studies. Seven eligible observational studies with a total of 147,424 participants were included in the study.
RESULTS: A significant J-shaped relationship was observed between HbA1c and all-cause mortality. Crude relative risk for all-cause mortality identified a decreased risk per 1% increase in HbA1c below 7.5% (58 mmol/mol) (0.90, CI 0.86-0.94) and an increased risk per 1% increase in HbA1c above 7.5% (58 mmol/mol) (1.04, CI 1.01-1.06). Observational studies revealed a J-shaped relationship between HbA1c and all-cause mortality, equivalent to an increased risk of mortality at high and low HbA1c levels.
CONCLUSIONS: This increased mortality at high and low HbA1c levels has significant implications on investigating optimum clinical HbA1c targets as it suggests that there are upper and lower limits for creating a 'security zone' for diabetes management.

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Year:  2014        PMID: 25396402      PMCID: PMC4310064          DOI: 10.1900/RDS.2014.11.138

Source DB:  PubMed          Journal:  Rev Diabet Stud        ISSN: 1613-6071


  48 in total

Review 1.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

2.  The projected health care burden of Type 2 diabetes in the UK from 2000 to 2060.

Authors:  A Bagust; P K Hopkinson; L Maslove; C J Currie
Journal:  Diabet Med       Date:  2002-07       Impact factor: 4.359

Review 3.  Body mass index and risk of pneumonia: a systematic review and meta-analysis.

Authors:  D T Phung; Z Wang; S Rutherford; C Huang; C Chu
Journal:  Obes Rev       Date:  2013-06-25       Impact factor: 9.213

4.  Meta-analysis of epidemiologic dose-response data.

Authors:  J A Berlin; M P Longnecker; S Greenland
Journal:  Epidemiology       Date:  1993-05       Impact factor: 4.822

Review 5.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

6.  Glycated haemoglobin, diabetes, and mortality in men in Norfolk cohort of european prospective investigation of cancer and nutrition (EPIC-Norfolk).

Authors:  K T Khaw; N Wareham; R Luben; S Bingham; S Oakes; A Welch; N Day
Journal:  BMJ       Date:  2001-01-06

7.  Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus.

Authors:  Elizabeth Selvin; Spyridon Marinopoulos; Gail Berkenblit; Tejal Rami; Frederick L Brancati; Neil R Powe; Sherita Hill Golden
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8.  The association of glycemia and cause-specific mortality in a diabetic population.

Authors:  S E Moss; R Klein; B E Klein; S M Meuer
Journal:  Arch Intern Med       Date:  1994-11-14

9.  Meta-analysis: neither quick nor easy.

Authors:  Nancy G Berman; Robert A Parker
Journal:  BMC Med Res Methodol       Date:  2002-08-09       Impact factor: 4.615

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Journal:  BMJ Open       Date:  2015-12-18       Impact factor: 2.692

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