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Prognostic value of neutrophil–lymphocyte ratio in critically ill patients with cancer: a propensity score matching study
Chen, Z-Q; Yu, X-S; Mao, L-J; Zheng, R; Xue, L-L; Shu, J; Luo, Z-W; Pan, J-Y.
Affiliation
  • Chen, Z-Q; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
  • Yu, X-S; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
  • Mao, L-J; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
  • Zheng, R; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
  • Xue, L-L; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
  • Shu, J; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
  • Luo, Z-W; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
  • Pan, J-Y; The First Affiliated Hospital of Wenzhou Medical University. Department of Intensive Care Unit. Wenzhou. People’s Republic of China
Clin. transl. oncol. (Print) ; 23(1): 139-147, ene. 2021.
Article in En | IBECS | ID: ibc-220459
Responsible library: ES1.1
Localization: ES15.1 - BNCS
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 (AU)
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Collection: 06-national / ES Database: IBECS Main subject: Lymphocytes / Cell Count / Neoplasms / Neutrophils Limits: Aged / Female / Humans / Male Language: En Journal: Clin. transl. oncol. (Print) Year: 2021 Document type: Article
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Collection: 06-national / ES Database: IBECS Main subject: Lymphocytes / Cell Count / Neoplasms / Neutrophils Limits: Aged / Female / Humans / Male Language: En Journal: Clin. transl. oncol. (Print) Year: 2021 Document type: Article