Type 2 & other diabetes

Societal health and economic burden of cardiovascular diseases in the population with type 2 diabetes in Qatar. A 10 ‐year forecasting model

Diabetes Obes MetabPublished Modelling study

An erratum to this article was published (Diabetes Obes Metab, Apr 2024 ↗)

Authors' conclusion

The findings suggest a significant economic and health burden of CVD among people with T2D in Qatar and highlight the need for more enhanced preventive strategies targeting this population group.

Study context

Population
People with T2D in Qatar aged 40–79 years
Outcome
Projected CVD burden in T2D
Follow-up
10 years
Methodological detailsdynamic multistate forecasting model, 10-year forecast, Qatari societal perspective, sensitivity analyses, First cardiovascular disease (CVD) events (myocardial infarction (MI) and stroke) from the 2013 Pooled Cohort Equation; recurrent CVD events from the REACH registry; utility and cost inputs from published sources
  • Dynamic multistate forecasting model
  • 10-year forecast
  • Qatari societal perspective
  • Sensitivity analyses
  • First CVD events (MI and stroke) from the 2013 Pooled Cohort Equation; recurrent CVD events from the REACH registry; utility and cost inputs from published sources

Main finding

As reported in the abstract

Non-fatal MIs
108 195 (95% UI 104 249-112 172)
Non-fatal strokes
62 366 (95% UI 60 283-65 520)
CVD deaths
14 612 (95% UI 14 472-14 744)
Total years of life lived
4 786 605 (95% UI 4 743 454, 4 858 705)
Total quality-adjusted life years
3 781 833 (95% UI 3 724 718-3 830 669)
Direct costs (57.85% of total costs)
QAR41.60 billion (US$11.40 billion) (95% UI 7.53-147.40 billion (US$2.06-40.38 billion))
Total indirect costs, expected to exceed
QAR30.31 billion (US$8.30 billion) (95% UI 1.07-162.60 billion (US$292.05 million-44.55 billion))

Original publication

Societal health and economic burden of cardiovascular diseases in the population with type 2 diabetes in Qatar. A 10 ‐year forecasting model. Diabetes Obes Metab. Published 16 October 2023. doi:10.1111/dom.15299

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

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.