Literature DB >> 31765685

Standard mortality rates and years of life lost for serologically defined adult-onset type 1 and type 2 diabetes - A fifteen year follow-up.

Maria Thunander1, Anna Lindgren2, Christer Petersson3, Mona Landin-Olsson4, Sara Holmberg5.   

Abstract

AIMS: The Diabetes Incidence in Kronoberg (DIK) study of adult-onset diabetes used serological classification. Standard Mortality Rates (SMR) and Years of Life Lost (YLL) 15 years after adult-onset (18-100 years) of diabetes were compared to the population of Kronoberg.
METHODS: Of 1609/1660 (97%) patients, 112 (7%) had type 1 (T1D) (GADA+ and/or ICA+, and/or C-peptide < 0.25 nmol/l), and 1497 (93%) had type 2 diabetes (T2D) (antibody- and C-peptide ≥ 0.25 nmol/l). The National Swedish Mortality Register provided time of death.
RESULTS: For T1D SMR did not differ from the Kronoberg population in any age group. In T2D SMR was 1.20 (1.12-1.29). After 15 years 26% (29/112) T1D and 52% (785/1497) T2D patients had died, p < 0.0001. In T2D SMR was 5.6 (30-39 years), 2 (40-59 years), 1.4 (60-69 years), and thereafter no difference. There were no significant sex differences in mortality, and no YLL to adult-onset T1D, but five YLL to T2D for onset at ages 20-60 years.
CONCLUSIONS: For adult-onset T1D SMR did not differ from the general population, in contrast to previous findings in childhood-onset (< 30 years of age) T1D. The difference in mortality between persons with diabetes and the general population was due to higher mortality in T2D.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  C-peptide; Classification; Islet antibodies; Mortality; SMR; Years of life lost

Mesh:

Year:  2019        PMID: 31765685     DOI: 10.1016/j.diabres.2019.107943

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  1 in total

1.  Microvascular Complications, Peripheral Artery Disease and Mortality in Patients with Type 2 Diabetes Mellitus, in Two Counties of Southern Lithuania over 13 Years: Analysis Using a Cohort Database of the National Health Insurance.

Authors:  Laima Piliponienė; Džilda Veličkienė; Rima Kregždytė
Journal:  Medicina (Kaunas)       Date:  2021-12-18       Impact factor: 2.430

  1 in total

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