Type 2 & other diabetes

Prediabetes, participation in the English National Health Service Diabetes Prevention Programme, and associations with COVID-19-related mortality: A whole population study

Diabetes Res Clin PractPublished Whole population cohort study

Main finding · COVID-19-related mortalityResult — go to the resultAdjusted hazard ratio 0.95 CI 0.93–0.96

Authors' conclusion

Younger people with diagnosed NDH were at higher relative risk of COVID-19 mortality. Attendance at the NHS DPP was associated with significantly lower COVID-19-related mortality.

Study context

Population
All individuals registered with General Practices in England and alive on 1st March 2020
Participants
61,438,225 individuals
Exposure
Diagnosed non-diabetic hyperglycaemia (NDH) vs no diagnosed NDH or diabetes
  • NDHn = 2,290,280
Outcome
COVID-19-related mortality
Follow-up
March 2020 to February 2022
Methodological detailsCox regression adjusted for demographic factors and cardiovascular comorbidities, stratified by age
  • Cox regression adjusted for demographic factors and cardiovascular comorbidities
  • Stratified by age

Main finding

As reported in the abstract

Adjusted hazard ratio

0.95

CI 0.93–0.96

P < 0.001

Events by group

NDH

11 %

17,280

NDHvs No NDH or diabetes
adjusted HR 0.95 (CI 0.93–0.96); P < 0.001

Observational data: associations, not effects.

Further findings

OutcomeHR (CI)P value
COVID-19 mortality, age <50 years2.53 (2.23–2.88)P < 0.001
COVID-19 mortality, age 50-69 years1.29 (1.24–1.35)P < 0.001
COVID-19 mortality, age ≥ 70 years0.87 (0.85–0.89)P < 0.001

NHS DPP attendance (N = 376,590 with DPP contact)

NHS DPP attendance associated with lower COVID-19 mortality, with a dose-response relationship with engagement

Original publication

Prediabetes, participation in the English National Health Service Diabetes Prevention Programme, and associations with COVID-19-related mortality: A whole population study. Diabetes Res Clin Pract. Published 7 May 2024. doi:10.1016/j.diabres.2024.111692

Composed by AI from the published abstract and checked against it. How Briefs are made →

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