C-reactive protein predicts early clinical outcomes and long-term mortality after left ventricular assisted device
Hongtao Tie1,2, Rui Shi3,4, Henryk Welp1
1Department of Cardiothoracic Surgery, University Hospital Muenster, Muenster, Germany.
Objectives:
Left ventricular assist device (LVAD) implantation has become a reliable therapeutic strategy in patients with advanced heart failure. C-reactive protein (CRP) is a well-established biomarker of inflammation. This study aims to determine the prognostic effect of CRP level on clinical outcomes of patients who undergo LVAD implantation.
Methods:
This is a single-center, observational, retrospective study. One hundred fifty-three patients who received continuous-flow LVAD implantation were included and were divided into two groups of high (>3.9 mg/dL) versus low CRP (⩽3.9 mg/dL).
Results:
Patients with high pre-implant CRP levels were prone to severe preoperative clinical conditions and complicated intraoperative procedures. Compared with patients in the low CRP group, elevated pre-implant CRP was associated with increased hospital mortality (31.4% vs 8.4%, p < 0.001), postoperative right ventricular failure (47.1% vs 30.1%, p = 0.031), right ventricular assist device use (34.3% vs 16.9%, p = 0.013), AKI (70% vs 51.8%, p = 0.022) and significantly prolonged duration of postoperative mechanical ventilation and intensive care unit length of stay. Univariate Cox regression showed that high pre-implant CRP was significantly associated with increased risk of long-term mortality (Hazard ratio (HR) 2.632 95%; CI: 1.657-4.183, p < 0.001), and multivariable Cox regression also revealed the higher risk of long-term mortality in patients with elevated pre-implant CRP (HR, 2.848 95%CI: 1.659-4.888, p < 0.001). These results remained stable when treating pre-implant CRP as a continuous variable. Besides, the prognostic effect of post-implant CRP was also observed.
Conclusions:
CRP is a reliable risk-stratification biomarker in patients receiving continuous-flow -LVAD and can be used as a predictor for short- and long-term outcomes.
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