The neutrophil-to-lymphocyte ratio levels over time correlate to all-cause hospital mortality in sepsis

被引:0
|
作者
Zhang, Guyu [1 ]
Wang, Tao [1 ]
An, Le [1 ]
Hang, Chenchen [1 ]
Wang, Xingsheng [1 ]
Shao, Fei [1 ]
Shao, Rui [1 ]
Tang, Ziren [1 ]
机构
[1] Capital Med Univ, Beijing Chaoyang Hosp, Emergency Med Clin Res Ctr, Beijing Key Lab Cardiopulm Cerebral Resuscitat, Beijing 100020, Peoples R China
关键词
Sepsis; Neutrophil-to-lymphocyte ratio; Prediction; Restricted cubic spline; Intensive care unit;
D O I
10.1016/j.heliyon.2024.e36195
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objective: This research aims to investigate the prognosis value using the time-weighted average neutrophil-to-lymphocyte ratio (TWA-NLR) for predicting all-cause hospital mortality among sepsis patients. Data were analyzed through the use of the eICU Collaborative Research Database (eICU-CRD 2.0) as well as Medical Information Mart for Intensive Care IV 2.2 (MIMIC-IV 2.2). Methods: Septic patients from both eICU-CRD 2.0 as well as MIMIC-IV 2.2 databases were included. The neutrophil-to-lymphocyte ratios (NLR) were available for analysis, utilizing complete blood counts obtained on days one, four, and seven following ICU admission. The TWA-NLR was computed at the end of the seven days, and patients were then stratified based on TWA-NLR thresholds. 90-day all-cause mortality during hospitalization was the primary objective, with 60day all-cause hospital mortality as a secondary objective. The correlation between TWA-NLR and sepsis patients' primary outcome was analyzed using univariable and multivariable Cox proportional hazard regressions. A restricted cubic spline (RCS) analysis was conducted in an attempt to confirm this association further, and subgroup analyses were employed to evaluate the correlation across various comorbidity groups. Results: 3921 patients were included from the eICU-CRD 2.0, and the hospital mortality rate was 20.8 %. Both multivariable as well as univariable Cox proportional hazard regression analyses revealed that TWA-NLR was independently correlated with 90-day all-cause hospital mortality, yielding a hazard ratio (HR) of 1.02 (95 % CI 1.01-1.02, P-value<0.01) as well as 1.12 (95 % CI 1.01-1.15, P-value<0.01), respectively. The RCS analysis demonstrated a significant nonlinear relationship between TWA-NLR and 90-day all-cause hospital mortality risk. The study subjects were divided into higher (>10.5) and lower (<= 10.5) TWA-NLR cohorts. A significantly decreased incidence of 90-day all-cause hospital mortality (HR = 0.56, 95 % CI 0.48-0.64, P-value<0.01) and longer median survival time (40 days vs 24 days, P-value<0.05) were observed in the lower TWA-NLR cohort. However, septic patients with chronic pulmonary (interaction of P-value = 0.009) or renal disease (interaction of P-value = 0.008) exhibited significant interactive associations between TWA-NLR and 90-day all-cause hospital mortality, suggesting the predictive power of TWA-NLR may be limited in these subgroups. The MIMIC-IV 2.2 was utilized as a validation cohort and exhibited a similar pattern. Conclusion: Our findings suggest that TWA-NLR is a powerful and independent prognostic indicator for 90-day all-cause hospital mortality among septic patients, and the TWA-NLR cutoff value may prove a useful method for identifying high-risk septic patients.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Association of neutrophil-to-lymphocyte ratio and risk of cardiovascular or all-cause mortality in chronic kidney disease: a meta-analysis
    Guangyu Ao
    Yushu Wang
    Xin Qi
    Fengping Wang
    Huitao Wen
    Clinical and Experimental Nephrology, 2021, 25 : 157 - 165
  • [22] Neutrophil-lymphocyte ratio predicts cardiovascular and all-cause mortality in hemodialysis patients
    Neuen, Brendon L.
    Leather, Nicole
    Greenwood, Alice M.
    Gunnarsson, Ronny
    Cho, Yeoungjee
    Mantha, Murty L.
    RENAL FAILURE, 2016, 38 (01) : 70 - 76
  • [23] The neutrophil-lymphocyte ratio is associated with all-cause and cardiovascular mortality in cardiovascular patients
    Li, Xinjian
    Liu, Mengxi
    Wang, Guisong
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [24] Neutrophil to Lymphocyte ratio Predicts All-cause Mortality in Patients with Chronic Heart Failure
    Mohan, Mohapradeep
    Deshmukh, Hershel
    Baig, Fatima
    Hawkey, Sean
    Rutherford, Lynn
    Struthers, Allan
    Maria, Anna
    Lang, Chim
    CIRCULATION, 2014, 130
  • [25] Predictive Value of the Neutrophil-to-Lymphocyte Ratio/Serum Albumin for All-Cause Mortality in Critically Ill Patients Suffering from COPD
    Liu, Yongli
    Zhao, Wei
    Hu, Chenyang
    Zhang, Yuxin
    Qu, Yiqing
    INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 2025, 20 : 659 - 683
  • [26] Neutrophil-to-lymphocyte ratio as a predictor of all-cause and cardiovascular mortality in coronary heart disease and hypertensive patients: a retrospective cohort study
    Song, Songhong
    Chen, Liwen
    Yu, Rong
    Zhu, Jinxiu
    FRONTIERS IN ENDOCRINOLOGY, 2024, 15
  • [27] Association of neutrophil-to-lymphocyte ratio and monocyte-tolymphocyte ratio with all-cause mortality in patients with ischemia and non-obstructive coronary arteries
    Mihai, Emilian Dumitru
    Delcea, Caterina
    Buzea, Adrian Catalin
    Dan, Gheorghe-Andrei
    REVISTA ROMANA DE MEDICINA DE LABORATOR, 2025, 33 (01): : 21 - 28
  • [28] Neutrophil-to-High-Density Lipoprotein Ratio (NHR) and Neutrophil-to-Lymphocyte Ratio (NLR) as prognostic biomarkers for incident cardiovascular disease and all-cause mortality: A comparison study
    Chuang, Shih-Ming
    Liu, Sung-Chen
    Chien, Ming-Nan
    Lee, Chun-Chuan
    Lee, Yuan-Teh
    Chien, Kuo-Liong
    AMERICAN JOURNAL OF PREVENTIVE CARDIOLOGY, 2024, 20
  • [29] The Neutrophil/Lymphocyte Ratio is an Independent Predictor of All-Cause Mortality in Patients with Idiopathic Hypereosinophilic Syndrome
    Xue, Junshuai
    Jiang, Jianjun
    Liu, Yang
    JOURNAL OF INFLAMMATION RESEARCH, 2022, 15 : 1899 - 1906
  • [30] Neutrophil/Lymphocyte Ratio and All-Cause Mortality in Diabetic Kidney Disease: A Retrospective Cohort Study
    Bai, Yihua
    Huang, Lilan
    Li, Yanqin
    Zhou, Shiyu
    Li, Luohua
    Jiang, Hongying
    Nie, Sheng
    Feng, Zhijian
    Su, Licong
    JOURNAL OF INFLAMMATION RESEARCH, 2024, 17 : 10739 - 10753