Skip to main content
. 2023 May 26;14(3):201–210. doi: 10.14740/cr1483

Table 3. Univariate and multivariate adjusted logistic regression analyses of clinical presentation in patients with HFpEF and HFrEF.

Univariate
Multivariate
HFpEF (%) HFrEF (%) OR (95% CI) P value OR (95% CI) P value
NYHA 1 - 2 86.8 51.3 9.3 (7.6 - 15.3) < 0.001 5.4 (1.4 - 7.3) 0.08
NYHA 3 - 4 5.9 33.3 8 (2.63 - 9.38) < 0.001 4.3 (2.1 - 8.3) 0.092
Orthopnea 11.8 41 5.22 (2.2 - 6.39) < 0.001 4.2 (1.3 - 7.2) 0.21
PND 5.9 33.3 8 (2.63 - 10.3) < 0.001 5.3 (1.3 - 7.2) 0.33
Angina 14.7 20.5 1.6 (0.6 - 5.7) 0.21
LL edema 38.2 37.2 1.3 (1.1 - 6.2) 0.33
Low COP 1.5 14.1 11 (10.38 - 13.6) 0.006 8.3 (2.1 - 16.5) 0.12

Post hoc sample calculation revealed sufficient power for performing logistic regression modelling (R2 = 0.471, predictors = 8, P ≤ 0.05; observed statistical power = 1.0). NYHA: New York Heart Association classification of dyspnea; PND: paroxysmal nocturnal dyspnea; LL edema: lower limb edema; Low COP: low cardiac output symptoms; HFpEF: heart failure with preserved ejection fraction; HFrEF: heart failure with reduced ejection fraction; OR: odds ratio; CI: confidence interval.