Literature DB >> 29421310

Mortality trends and cause of death in patients with new-onset type 2 diabetes and controls: A 24-year follow-up prospective cohort study.

Tobias Andersson1, Per Hjerpe2, Axel C Carlsson3, Aldina Pivodic4, Per Wändell5, Karin Manhem6, Kristina Bengtsson Boström7.   

Abstract

AIMS: Our aim was to assess causes of death and temporal changes in excess mortality among patients with new-onset type 2 diabetes in Skaraborg, Sweden.
METHODS: Patients from the Skaraborg Diabetes Register with prospectively registered new-onset type 2 diabetes 1991-2004 were included. Five individual controls matched for sex, age, geographical area and calendar year of study entry were selected using population records. Causes of deaths until 31 December 2014 were retrieved from the Cause of Death Register. Adjusted excess mortality among patients and temporal changes of excess mortality were calculated using Poisson models. Cumulative incidences of cause-specific mortality were calculated by competing risk regression.
RESULTS: During 24 years of follow-up 4364 deaths occurred among 7461 patients in 90,529 person-years (48.2/1000 person-years, 95% CI 46.8-49.7), and 18,541 deaths in 479,428 person-years among 37,271 controls (38.7/1000 person-years, 38.1-39.2). The overall adjusted mortality hazard ratio was 1.47 (p < .0001) among patients diagnosed at study start 1991 and decreased by 2% (p < .0001) per increase in calendar year of diagnosis until 2004. Excess mortality was mainly attributed to endocrine and cardiovascular cause of death with crude subdistributional hazard ratios of 5.06 (p < .001) and 1.22 (p < .001).
CONCLUSIONS: Excess mortality for patients with new-onset type 2 diabetes was mainly attributed to deaths related to diabetes and the cardiovascular system, and decreased with increasing year of diagnosis 1991-2004. Possible explanations could be temporal trends of earlier diagnosis due to lowered diagnostic thresholds and intensified diagnostic activities, as well as improved treatment.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Causes of death; Epidemiology; Mortality; Time trend; Type 2 diabetes

Mesh:

Year:  2018        PMID: 29421310     DOI: 10.1016/j.diabres.2018.01.038

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


  7 in total

1.  Association Between Relevant Co-Morbidities and Dementia With Atrial Fibrillation-A National Study.

Authors:  Per Wändell; Axel C Carlsson; Xinjun Li; Jan Sundquist; Kristina Sundquist
Journal:  Arch Med Res       Date:  2019-05-31       Impact factor: 2.235

Review 2.  Hypoxia-inducible factors and diabetes.

Authors:  Jenny E Gunton
Journal:  J Clin Invest       Date:  2020-10-01       Impact factor: 14.808

Review 3.  Prospects for the application of transcranial magnetic stimulation in diabetic neuropathy.

Authors:  Xi Xu; Dong-Sheng Xu
Journal:  Neural Regen Res       Date:  2021-05       Impact factor: 5.135

4.  The mortality in infectious inpatients with type 2 diabetes compared with non-diabetic population: Infection in type 2 diabetes.

Authors:  Chun-Ming Ma; Fu-Zai Yin
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

5.  Type 2 diabetes and the risk of cardiovascular events in peripheral artery disease versus coronary artery disease.

Authors:  Lukas Sprenger; Arthur Mader; Barbara Larcher; Maximilian Mächler; Alexander Vonbank; Daniela Zanolin-Purin; Andreas Leiherer; Axel Muendlein; Heinz Drexel; Christoph H Saely
Journal:  BMJ Open Diabetes Res Care       Date:  2021-11

6.  Increased Mortality Risk in People with Type 2 Diabetes Mellitus in Lithuania.

Authors:  Donata Linkeviciute-Ulinskiene; Auguste Kaceniene; Audrius Dulskas; Ausvydas Patasius; Lina Zabuliene; Giedre Smailyte
Journal:  Int J Environ Res Public Health       Date:  2020-09-20       Impact factor: 3.390

7.  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

  7 in total

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