Evaluating Ethnic Variations in the Risk of Infections in People With Prediabetes and Type 2 Diabetes: A Matched Cohort Study
Authors' conclusion
The elevated infection risk for people with T2D appears similar for different ethnic groups and is also seen in people with prediabetes. Infections are a substantial cause of ill-health and health service use for people with prediabetes and T2D. This has public health implications with rising prediabetes and diabetes prevalence.
Study context
- Population
- Patients in England aged 18–90, alive on 1 January 2015, Clinical Practice Research Datalinkmatched cohort
- Exposure
- T2D or prediabetes vs no diabetes or prediabetes
- T2Dn = 527,151
- Prediabetesn = 273,216
- Outcome
- Infection incidence (primary care infections and infection-related hospitalizations), IRRs unadjusted and adjusted for confounders
- Follow-up
- 2015-2019
Methodological detailsmatched on age, sex and ethnic group (2 controls per patient), primary care and linked hospitalization records
- Matched on age, sex and ethnic group (2 controls per patient)
- Primary care and linked hospitalization records
Main finding
As reported in the abstract
Each group vs without diabetes or prediabetesIncidence rate ratio (95% CI)
T2Dprimary care infections
1.51(1.51–1.52)
T2Dhospitalizations
1.91(1.90–1.93)
Prediabetesprimary care infections
1.35(1.34–1.36)
Prediabeteshospitalizations
1.33(1.31–1.35)
Observational data: associations, not effects.
Further findings
- T2D: broadly consistent within each ethnic group; younger White T2D patients (age <50) had a greater relative risk
- Adjustment for socioeconomic deprivation, smoking and comorbidity attenuated associations, but incidence rate ratios (IRRs) remained similar by ethnicity
- Prediabetes: similar within each ethnicity for primary care infections, less consistent for infection-related hospitalizations
Original publication
Evaluating Ethnic Variations in the Risk of Infections in People With Prediabetes and Type 2 Diabetes: A Matched Cohort Study. Diabetes Care. Published 12 April 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →