[Predictive value of whole blood cell derived inflammatory markers in combination with NT-proBNP on the prognosis of patients with chronic heart failure].

Abstract

Objective: To evaluate the predictive value of whole blood cell derived inflammatory marker (including systemic immunoinflammatory index (SII), systemic inflammatory response index (SIRI), neutrophil count/lymphocyte count (NLR), platelet count/lymphocyte count (PLR), and monocyte count/lymphocyte count (MLR)) and in combination with N-terminal pro-B-type natriuretic peptide (NT-proBNP) on the prognosis of patients with chronic heart failure. Methods: This study was a retrospective cohort study. Patients with chronic heart failure hospitalized in the Department of Cardiovascular Medicine, Nanfang Hospital, Southern Medical University from January 2019 to August 2022 were enrolled. Patients were followed up and were divided into survival group and death group according to the follow-up results. Clinical characteristics of the two groups were compared. Receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of each whole blood cell derived inflammatory marker for predicting all-cause death in patients with chronic heart failure. Kaplan-Meier survival curve was drawn, and log-rank test was used to compare the difference in survival of chronic heart failure patients with different levels of whole blood cell derived inflammatory markers. Univariate and multivariate Cox proportional hazards models were used to analyze the effects of whole blood cell derived inflammatory markers and NT-proBNP on the all-cause death of patients with chronic heart failure. ROC curve was used to analyze the predictive value of whole blood cell derived inflammatory markers combined with NT-proBNP on the prognosis of patients with chronic heart failure. Results: A total of 324 patients with heart failure aged (64.76±13.78) years were enrolled, with 212 males (65.43%). 297 patients (91.67%) completed follow-up, 27 patients (8.33%) were lost to follow-up. The follow-up time was 24.0 (18.0, 41.8) months. There were 258 patients in the survival group and 66 patients in the death group. The optimal cut-off values of SII, SIRI, NLR, PLR and MLR determined by ROC curve were 739.83, 1.65, 3.14, 151.95 and 0.37, respectively. Kaplan-Meier survival curve analysis showed that patients with chronic heart failure with high levels of SII (≥739.83), SIRI (≥1.65), NLR (≥3.14), PLR (≥151.95) and MLR (≥0.37) had higher incidence of all-cause death than patients with low levels of inflammatory markers (all P<0.001). Multivariate Cox proportional hazard regression analysis showed that age (HR=1.04, 95%CI 1.01-1.06, P=0.002), NT-proBNP (HR=2.93, 95%CI 1.64-5.23, P<0.001), SII≥739.83 (HR=3.27, 95%CI 1.18-9.02, P=0.022) and PLR≥151.95 (HR=2.67, 95%CI 1.02-6.96, P=0.045) were independent predictors of all-cause death in patients with chronic heart failure. ROC curve analysis showed that the predictive value of SII and PLR combined with NT-proBNP (AUC=0.850) for the prognosis of patients with chronic heart failure was better than that of SII (AUC=0.779)、PLR (AUC=0.782)、NT-proBNP (AUC=0.727) and CRP (AUC=0.668) alone (all P<0.001). Conclusions: Whole blood cell derived inflammatory markers--SII, PLR, and NT-pro BNP were independently associated with all-cause death in patients with chronic heart failure. SII and PLR can independently predict the prognosis of patients with chronic heart failure, combination of SII and PLR with NT-pro BNP has better predictive value for the prognosis of patients with chronic heart failure.