Neutrophil-to-lymphocyte ratio as a predictor of mortality in intensive care unit patients: a retrospective analysis of the Medical Information Mart for Intensive Care III Database

被引:13
|
作者
Wu, Xie [1 ]
Luo, Qipeng [2 ]
Su, Zhanhao [3 ]
Li, Yinan [1 ]
Wang, Hongbai [1 ]
Liu, Qiao [1 ]
Yuan, Su [1 ]
Yan, Fuxia [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Dept Anesthesiol, Fuwai Hosp, Beijing, Peoples R China
[2] Peking Univ Third Hosp, Dept Pain Med, Beijing, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Dept Pediat Cardiac Surg, Fuwai Hosp, Beijing, Peoples R China
来源
BMJ OPEN | 2021年 / 11卷 / 11期
关键词
adult intensive & critical care; adverse events; risk management; PLATELET; ILLNESS; MARKER;
D O I
10.1136/bmjopen-2021-053548
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives Identifying high-risk patients in the intensive care unit (ICU) is important given the high mortality rate. However, existing scoring systems lack easily accessible, low-cost and effective inflammatory markers. We aimed to identify inflammatory markers in routine blood tests to predict mortality in ICU patients and evaluate their predictive power. Design Retrospective case-control study. Setting Single secondary care centre. Participants We analysed data from the Medical Information Mart for Intensive Care III database. A total of 21 822 ICU patients were enrolled and divided into survival and death groups based on in-hospital mortality. Primary and secondary outcome measures The predictive values of potential inflammatory markers were evaluated and compared using receiver operating characteristic curve analysis. After identifying the neutrophil-to-lymphocyte ratio (NLR) as having the best predictive ability, patients were redivided into low (<= 1), medium (1-6) and high (>6) NLR groups. Univariate and multivariate logistic regression analyses were performed to evaluate the association between the NLR and mortality. The area under the curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to assess whether incorporating the NLR could improve the predictive power of existing scoring systems. Results The NLR had the best predictive ability (AUC: 0.609; p<0.001). In-hospital mortality rates were significantly higher in the low (OR (OR): 2.09; 95% CI 1.64 to 2.66) and high (OR 1.64; 95% CI 1.50 to 1.80) NLR groups than in the medium NLR group. Adding the NLR to the Simplified Acute Physiology Score II improved the AUC from 0.789 to 0.798, with an NRI and IDI of 16.64% and 0.27%, respectively. Conclusions The NLR predicted mortality in ICU patients well. Both low and high NLRs were associated with elevated mortality rates, including the NLR may improve the predictive power of the Simplified Acute Physiology Score II.
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页数:6
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