Cargando…
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
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 m...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587351/ https://www.ncbi.nlm.nih.gov/pubmed/34764177 http://dx.doi.org/10.1136/bmjopen-2021-053548 |
_version_ | 1784598123482447872 |
---|---|
author | Wu, Xie Luo, Qipeng Su, Zhanhao Li, Yinan Wang, Hongbai Liu, Qiao Yuan, Su Yan, Fuxia |
author_facet | Wu, Xie Luo, Qipeng Su, Zhanhao Li, Yinan Wang, Hongbai Liu, Qiao Yuan, Su Yan, Fuxia |
author_sort | Wu, Xie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8587351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-85873512021-11-15 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 Wu, Xie Luo, Qipeng Su, Zhanhao Li, Yinan Wang, Hongbai Liu, Qiao Yuan, Su Yan, Fuxia BMJ Open Intensive Care 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. BMJ Publishing Group 2021-11-11 /pmc/articles/PMC8587351/ /pubmed/34764177 http://dx.doi.org/10.1136/bmjopen-2021-053548 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Intensive Care Wu, Xie Luo, Qipeng Su, Zhanhao Li, Yinan Wang, Hongbai Liu, Qiao Yuan, Su Yan, Fuxia 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Intensive Care |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587351/ https://www.ncbi.nlm.nih.gov/pubmed/34764177 http://dx.doi.org/10.1136/bmjopen-2021-053548 |
work_keys_str_mv | AT wuxie neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase AT luoqipeng neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase AT suzhanhao neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase AT liyinan neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase AT wanghongbai neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase AT liuqiao neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase AT yuansu neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase AT yanfuxia neutrophiltolymphocyteratioasapredictorofmortalityinintensivecareunitpatientsaretrospectiveanalysisofthemedicalinformationmartforintensivecareiiidatabase |