Diabetes complications

A novel approach to accurately measuring the burden of hospitalisations for cardiovascular disease in people with diabetes: A pilot study

Diabet MedPublished Diagnostic accuracy 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 modelKappa HFKappa acute myocardial infarction (AMI) and strokeSensitivity HFSensitivity AMISpecificity AMISensitivity strokeSpecificity stroke
ICD-10 codes0.81≥ 0.9172%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

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