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Early mortality from the time of diagnosis of Type 2 diabetes: a 5‐year prospective cohort study with a local age‐ and sex‐matched comparison cohort
Author(s) -
Guzder R. N.,
Gatling W.,
Mullee M. A.,
Byrne C. D.
Publication year - 2007
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/j.1464-5491.2007.02223.x
Subject(s) - medicine , odds ratio , cohort , diabetes mellitus , type 2 diabetes , cohort study , confidence interval , odds , logistic regression , endocrinology
Aims  To study patterns and predictors of early mortality in individuals with a new diagnosis of Type 2 diabetes, compared with a local age‐ and sex‐matched comparison cohort. Methods  A total of 736 individuals diagnosed with Type 2 diabetes between 1 May 1996 and 30 June 1998 and non‐diabetic age‐ and sex‐matched control subjects were studied. Follow‐up was 5.25 years. Age‐ and gender‐specific all‐cause mortality odds ratios were calculated for the diabetic cohort compared with the non‐diabetic comparator group. Mortality odds ratios were ascertained using conditional logistic regression. Results  There were 147 deaths in the diabetic cohort [cardiovascular (42.2%), cancer (21.1%)]. Compared with the non‐diabetic cohort, mortality odds more than doubled [odds ratio (OR) 2.47; 95% confidence interval (CI) 1.74, 3.49]. These increased odds were present in all age bands (including those aged > 75 years at diagnosis) for both cardiovascular and non‐cardiovascular causes. In women, a new diagnosis of Type 2 diabetes was associated with a sevenfold increase in mortality odds in those aged 60–74 years (OR 7.00; 95% CI 2.09, 23.47). Conclusions  Type 2 diabetes is associated with a 2.5‐fold increase in the odds of mortality in both men and women over the first 5 years from diagnosis. Our data strongly support the contention that the mortality risk associated with Type 2 diabetes essentially exists from, or may even predate, the time of diagnosis.

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