A novel approach to accurately measuring the burden of hospitalisations for cardiovascular disease in people with diabetes: A pilot study
Authors' conclusion
While ICD-10 codes appear reliable for AMI or stroke, a more complex diagnosis such as HF benefits from a two-stage process to screen for suspected HF cases that need adjudicating. The next step is to validate this novel approach on large multi-centre studies in diabetes.
Study context
- Population
- People with diabetes admitted to one of three Australian hospitals during 2018–2020, randomly selected population-based sample
- Participants
- 685 people1,274 admissions
- Comparison
- ICD-10 discharge codes and a novel heart failure (HF) screening approach vs adjudicated diagnosis
- Outcome
- Reliability of hospital discharge codes for HF, AMI and stroke vs adjudicated diagnosis
Methodological detailspilot study, population-based sample, 3 Australian hospitals
- Pilot study
- Population-based sample
- 3 Australian hospitals
Performance
As reported in the abstract
| Test or model | Kappa HF | Kappa acute myocardial infarction (AMI) and stroke | Sensitivity HF | Sensitivity AMI | Specificity AMI | Sensitivity stroke | Specificity stroke |
|---|---|---|---|---|---|---|---|
| ICD-10 codes | 0.81 | ≥ 0.91 | 72% | 84% | 100% | 85% | 100% |
ICD-10 codes
Kappa HF0.81
Kappa acute myocardial infarction (AMI) and stroke≥ 0.91
Sensitivity HF72%
Sensitivity AMI84%
Specificity AMI100%
Sensitivity stroke85%
Specificity stroke100%
Further findings
- Novel approach to screen possible HF cases
- 8% (105/1274) · Records requiring adjudication · HF admissions correctly identified 78/81 · Sensitivity 96% · Specificity 98%
CVD as primary reason for hospitalisation
- CVD share of all hospitalisations (most common primary reason; HF leading cause)
- ≈17% (215/1274)
Original publication
A novel approach to accurately measuring the burden of hospitalisations for cardiovascular disease in people with diabetes: A pilot study. Diabet Med. Published 27 January 2024. doi:10. 1111/ dme. 15291
Composed by AI from the published abstract and checked against it. How Briefs are made →