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. 2021 May 2;8(4):2968–2981. doi: 10.1002/ehf2.13386

Table 3.

Multivariate binary logistic analysis for determinants of prognostically favourable RV‐PA coupling (Ees/Ea > 0.68) in secondary PH

Variables Odds ratio 95% CI P value
PA compliance 8.6 2.1–35.3 0.003
LV‐EF 1.23 1.023–1.482 0.028
RVEDV (PV loop) 0.96 0.926–0.994 0.021

CI, confidence interval; CpcPH, combined postcapillary and precapillary PH; IpcPH, isolated postcapillary pulmonary hypertension; LV‐EF, left ventricular ejection fraction; LVESP, LV end‐systolic volume; PA, pulmonary arterial; PV, pressure–volume; PVR, pulmonary vascular resistance; RVEDV, right ventricular end‐diastolic volume.

Additional baseline univariate variables associated with favourable RV‐PA coupling ratio ≥0.68 (P < 0.1) entered the multivariate binary logistic regression model: Left atrial volume, PVR, existence of CpcPH vs. IpcPH, PA mean, LVESP, mitral regurgitation, tricuspid regurgitation, arterial pulse pressure.

RC time, DPD, ischemic vs. dilative cardiomyopathy, and LVEDV did not enter the model because univariate analysis showed P > 0.1.

The main components of RV afterload, the steady state load (PVR) and the pulsatile load (PA compliance) were used for analysis of the global afterload measuring parameter Ea.