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. 2023 Sep 11;16:208. doi: 10.1186/s13104-023-06469-x

Table 2.

Results of the HF subtype validation and calculated epidemiological measures

Category HF based on clinician’s diagnosis Calculated epidemiological measures
Algorithm-based HF HF, all HFrEF HFmrEF HFpEF No HF Sensitivity Specificity PPV NPV Accuracy
HF, all 63 18 17 28 25 100% 32% 72% 100% 75%
HFrEF 17 17 0 0 0 94% 100% 100% 99% 99%
HFmrEF 19 1 17 1 1 100% 96% 85% 100% 97%
HFpEF 27 0 0 27 24 96% 67% 53% 98% 75%
No HF 12 0 0 0 12 32% 100% 100% 72% 75%

The algorithm defined ‘No HF’ as EF ≥ 50% and proBNP ≤ 125 ng/ml, ‘HF’ as any HF subtype present, ‘HFrEF’ as EF < 40%, ‘HFmrEF’ as EF 40–49% and ‘HFpEF’ as EF ≥ 50% and proBNP ≥ 125 ng/ml, using EF values mined by the algorithm. The clinician made the diagnosis of HF subtype based on EHR text, EF report and proBNP values

Abbreviations: EF, ejection fraction; HF, heart failure; HFrEF, HF with reduced EF; HFmrEF, HF with mildly reduced EF; HFpEF, HF with preserved EF; PPV, positive predictive value; NPV, negative predictive value; proBNP, N-terminal pro b-type natriuretic peptide