Heart failure & cardiomyopathies
Identification of Heart Failure Hospitalization from NHS Digital Data: Comparison with Expert Adjudication
Authors' conclusion
NHS Digital data were not able to accurately identify HHF and should not be used in isolation for this purpose.
Study context
- Population
- Patients with ≥1 hospitalization for heart failure (HHF) by NHS Digital data and age- and sex-matched patients without HHF, from a prospective cohort study10 (2%) adjudicated HHF
- Participants
- 504 patients
- Comparison
- NHS Digital code sets vs expert adjudication
- Outcome
- Accuracy of NHS Digital data for identifying HHF vs expert adjudication
Methodological detailsage- and sex-matched, within a prospective cohort study
- Age- and sex-matched
- Within a prospective cohort study
Performance
As reported in the abstract
Accuracy for HHF, first diagnosis position
| Test or model | Specificity | PPV |
|---|---|---|
| I50 | 96.2% (95% CI 94.1-97.7%)Specificity on a scale from 0 to 100 percent | 17.4% (CI 8.1-33.6%) |
| NICOR | 93.3% (CI 90.8-95.4%)Specificity on a scale from 0 to 100 percent | — not stated in the abstract |
| OIS | 95.6% (CI 93.3-97.2%)Specificity on a scale from 0 to 100 percent | — not stated in the abstract |
Specificity
I5096.2% (95% CI 94.1-97.7%)
NICOR93.3% (CI 90.8-95.4%)
OIS95.6% (CI 93.3-97.2%)
Specificity on a scale from 0 to 100 percentPPV
I5017.4% (CI 8.1-33.6%)
NICOR— not stated in the abstract
OIS— not stated in the abstract
— not stated in the abstract
- Sensitivity, first diagnosis position, all coding sets (low)
- 40.0% (CI 12.2-73.8%)
Further findings
PPV, National Heart Failure Audit criteria
- PPV higher, albeit modestly
- 36.4% (CI 16.6-62.2%)
Original publication
Identification of Heart Failure Hospitalization from NHS Digital Data: Comparison with Expert Adjudication. ESC Heart Fail. Published 17 January 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →