Glycaemic penalty index as an independent predictor of healthcare‐associated infection in surgical inpatients: A nested cohort study from the STOIC ‐D surgery trial
Authors' conclusion
The association between PDWMGPI and HAI suggests that linearised summary glycaemic measures may support clinicians in identifying patients at increased risk of adverse inpatient outcomes related to glycaemic patterns when interpreted alongside clinical factors. The simplicity of GPI as a single score may assist risk stratification and prioritisation of specialist diabetes input in surgical inpatient settings.
Study context
- Population
- Surgical inpatients with diabetes receiving standard care (control arm of STOIC-D Surgery RCT), quaternary Australian hospital
- Participants
- 691 inpatients
- Primary endpoint
- Association of patient-day weighted mean Glycemic Penalty Index (GPI) (PDWMGPI) with healthcare-associated infection (HAI) and acute kidney injury
Methodological detailscontrol arm analysis, univariable and multivariable analyses
- Control arm analysis
- Univariable and multivariable analyses
Primary result
As reported in the abstract
HAI by PDWMGPI
Increasing patient-day weighted mean GPI (PDWMGPI) independently associated with healthcare-associated infection (HAI), OR per one-unit increase
1.02
95% CI 1.01–1.04p = 0.008
Original publication
Glycaemic penalty index as an independent predictor of healthcare‐associated infection in surgical inpatients: A nested cohort study from the STOIC ‐D surgery trial. Diabet Med. Published 16 June 2026. doi:10. 1111/ dme. 70385
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