Heart failure & cardiomyopathies
Validation of Heart Failure Algorithm for Diagnosing Heart Failure with Preserved Ejection Fraction: A Meta-Analysis
Authors' conclusion
This meta-analysis indicates that the HFA-PEFF algorithm showed acceptable specificity and sensitivity for the diagnosis and exclusion of HFpEF.
Study context
- Population
- Patients evaluated for heart failure with preserved ejection fraction (HFpEF) with the HFA-PEFF score
- Participants
- 1,521 patients5 studies
- Comparison
- HFA-PEFF score 'Rule-out' vs 'Rule-in' approach for diagnosing HFpEF
- Outcome
- Pooled sensitivity, specificity, PLR, NLR, DOR, AUC of summary ROC and superiority index
Methodological detailsPubMed, Web of Science, Cochrane Library and Embase searched
- PubMed, Web of Science, Cochrane Library and Embase searched
Pooled result
As reported in the abstract
Diagnostic accuracy of HFA-PEFF score for HFpEF
| Group | Sensitivity | Specificity | Positive likelihood ratio (PLR) | Negative Likelihood Ratio (NLR) | Diagnostic odds ratio (DOR) |
|---|---|---|---|---|---|
| Rule-out | 0.98 (0.94, 1.00) | 0.33 (0.08, 0.73) | 1.5 (0.8, 2.5) | 0.05 (0.02, 0.17) | 28 (6, 127) |
| Rule-in | 0.69 (0.62, 0.75) | 0.87 (0.64, 0.96) | 5.5 (1.8, 16.9) | 0.35 (0.30, 0.41) | 16 (5, 50) |
Sensitivity
Rule-out0.98 (0.94, 1.00)
Rule-in0.69 (0.62, 0.75)
Specificity
Rule-out0.33 (0.08, 0.73)
Rule-in0.87 (0.64, 0.96)
Positive likelihood ratio (PLR)
Rule-out1.5 (0.8, 2.5)
Rule-in5.5 (1.8, 16.9)
Negative Likelihood Ratio (NLR)
Rule-out0.05 (0.02, 0.17)
Rule-in0.35 (0.30, 0.41)
Diagnostic odds ratio (DOR)
Rule-out28 (6, 127)
Rule-in16 (5, 50)
Original publication
Validation of Heart Failure Algorithm for Diagnosing Heart Failure with Preserved Ejection Fraction: A Meta-Analysis. ESC Heart Fail. Published 9 June 2023. doi:10.
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