Literature DB >> 30615050

Relationship between HbA1c and all-cause mortality in older patients with insulin-treated type 2 diabetes: results of a large UK Cohort Study.

Uchenna Anyanwagu1, Jil Mamza1, Richard Donnelly1, Iskandar Idris1.   

Abstract

BACKGROUND: our aim was to study the relationship between HbA1c and cardiovascular morbidity and all-cause mortality among older insulin-treated patients with type 2 diabetes (T2D) after adjustment for multiple confounders.
METHODS: data for 4589 adults with T2D (>65 years) on insulin treatment were sourced from 532 UK General Practices via the Health Improvement Network (THIN) database. Cox proportional hazard models and Kaplan-Meier estimators were fitted to derive the hazards of all-cause mortality by HbA1c categories (<6.5, 6.5-7.4, 7.5-8.4, 8.5-9.4, 9.5-10.4, 10.5-11.4%; and 11.5% and above) after 5 years of follow-up following insulin initiation.
RESULTS: we observed a U-shaped relationship between all-cause mortality and HbA1c, with the lowest risk seen in the HbA1c range of 6.5-7.4% and marked increased in risk with HbA1c > 11%. The highest mortality risks of 31 and 40% were significantly associated with the lowest (<6.5%) and highest (11.5% and above) HbA1c categories: aHR: 1.31; (95%CI: 1.10-1.56; P = 0.002) and aHR: 1.40; (95%CI: 1.01-1.96; P = 0.039), respectively.
CONCLUSIONS: both low and high HbA1c were associated with increased all-cause mortality, among older patients with insulin-treated T2D. This cohort study supports the need for individualisation of care and suggests better outcomes with HbA1c levels around 6.5-7.4% and markedly excess risk with HbA1c > 11.
© The Author(s) 2019. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  HbA1c; Insulin; Mortality; Older people; Type 2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 30615050     DOI: 10.1093/ageing/afy178

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  2 in total

1.  Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning.

Authors:  Sharen Lee; Jiandong Zhou; Wing Tak Wong; Tong Liu; William K K Wu; Ian Chi Kei Wong; Qingpeng Zhang; Gary Tse
Journal:  BMC Endocr Disord       Date:  2021-05-04       Impact factor: 2.763

2.  Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong.

Authors:  Sharen Lee; Jiandong Zhou; Keith Sai Kit Leung; William Ka Kei Wu; Wing Tak Wong; Tong Liu; Ian Chi Kei Wong; Kamalan Jeevaratnam; Qingpeng Zhang; Gary Tse
Journal:  BMJ Open Diabetes Res Care       Date:  2021-06
  2 in total

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