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. 2022 Feb 25;17(2):e0263824. doi: 10.1371/journal.pone.0263824

Table 5. Logistic regression, univariable and multivariable analyses of postoperative high LV filling pressure.

Variable Parameter estimate (β) SE Wald Χ2 P value OR (95% CI)
Preoperative high LV filling pressure 1.5 0.37 4.02 <0.001 4.49 (2.17–9.29)
LVMI regression −0.007 0.006 −1.03 0.3 1.00 (0.98–1.01)
Preoperative P-Creatinine clearance, mL/min/m2 −0.0028 0.006 −0.49 0.61 1.00 (0.99–1.01)
CCT, min 0.02 0.01 2.83 0.00468 1.02 (1.01–1.04)
NT-proBNP>960 ng/L 0.31 0.39 0.797 0.43 1.36 (0.64–2.898)
PHF −0.26 0.65 −0.402 0.69 0.78 (0.21–2.77)
PMI 0.53 0.85 0.62 0.54 1.70 (0.32–9.1)
Severe PPM -0.05 0.36 −0.15 0.88 0.95 (0.47–1.90)
Final model
intercept −2.17 1.68 −3.2
CCT, min 0.02 0.08 2.7 0.006 1.03 (1.01–1.04)
Preoperative high LV filling pressure 1.52 0.38 4.0 <0.001 4.57 (2.16–9.65)

LV, left ventricular; LVMI, left ventricular mass index; CCT, cross-clamp time; ECC, extra corporeal circulation; PHF, postoperative heart failure; PMI, perioperative myocardial infarction (defined as Troponin T≥2000 ng/L on or after the third postoperative day); severe PPM, prosthesis-patient mismatch<0.65 cm2/m2.