Z-Q Chen1, X-S Yu1, L-J Mao1, R Zheng1, L-L Xue1, J Shu1, Z-W Luo1, J-Y Pan2. 1. Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China. 2. Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China. wmupanjingye@126.com.
Abstract
BACKGROUND: Neutrophil-lymphocyte ratio (NLR) has shown a good prognostic value in many different type of malignancies. The purpose of this study was to investigate the relationship between NLR and the outcome of critically ill patients with cancer. METHODS: We performed a single-institution, retrospective study of 1317 adult critically ill patients with cancer and determined the optimal cut-off for NLR by X-tile software. Propensity score matching (PSM) and inverse probabilities of treatment weighting (IPTW) were performed to control confounders. Cox proportional hazards model was used to evaluate the relationship between NLR and 28-day, 6-month and 1-year all-cause mortality. Kaplan-Meier method, subgroup analysis, and receiver operating characteristics (ROC) analysis were applied to assess the prognostic value of NLR. RESULTS: The cut-off value for NLR was 17.6. Cox proportional hazards model demonstrated that high NLR (> 17.6) was independently associated with 28-day, 6-month and 1-year all-cause mortality with hazard ratio (HR) of 1.58 (1.29, 1.94), 1.51 (1.28, 1.77) and 1.45 (1.25, 1.69), respectively. The results were consistent with survival analyses (p < 0.001, log-rank test). The ROC analyses showed that the discrimination abilities of NLR were better than other blood-based biomarkers. CONCLUSION: NLR is a promising prognostic indicator of survival in unselected critical ill patients with cancer.
BACKGROUND: Neutrophil-lymphocyte ratio (NLR) has shown a good prognostic value in many different type of malignancies. The purpose of this study was to investigate the relationship between NLR and the outcome of critically illpatients with cancer. METHODS: We performed a single-institution, retrospective study of 1317 adult critically illpatients with cancer and determined the optimal cut-off for NLR by X-tile software. Propensity score matching (PSM) and inverse probabilities of treatment weighting (IPTW) were performed to control confounders. Cox proportional hazards model was used to evaluate the relationship between NLR and 28-day, 6-month and 1-year all-cause mortality. Kaplan-Meier method, subgroup analysis, and receiver operating characteristics (ROC) analysis were applied to assess the prognostic value of NLR. RESULTS: The cut-off value for NLR was 17.6. Cox proportional hazards model demonstrated that high NLR (> 17.6) was independently associated with 28-day, 6-month and 1-year all-cause mortality with hazard ratio (HR) of 1.58 (1.29, 1.94), 1.51 (1.28, 1.77) and 1.45 (1.25, 1.69), respectively. The results were consistent with survival analyses (p < 0.001, log-rank test). The ROC analyses showed that the discrimination abilities of NLR were better than other blood-based biomarkers. CONCLUSION: NLR is a promising prognostic indicator of survival in unselected critical ill patients with cancer.
Entities:
Keywords:
Cancer; Intensive care unit; Neutrophil–lymphocyte ratio; Prognosis