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The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study
BACKGROUND: We aimed to evaluate the predictive power of systemic inflammation response index (SIRI), a novel biomarker, to predict all-cause mortality in patients with traumatic brain injury (TBI) in the intensive care unit (ICU). METHODS: Clinical data were retrieved from the Medical Information M...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666699/ https://www.ncbi.nlm.nih.gov/pubmed/36408504 http://dx.doi.org/10.3389/fneur.2022.995925 |
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author | Mao, Baojie Feng, Lei Lin, Dongdong Shen, Yanfei Ma, Jiangchun Lu, Yuning Zhang, Rui Wang, Ming Wan, Shu |
author_facet | Mao, Baojie Feng, Lei Lin, Dongdong Shen, Yanfei Ma, Jiangchun Lu, Yuning Zhang, Rui Wang, Ming Wan, Shu |
author_sort | Mao, Baojie |
collection | PubMed |
description | BACKGROUND: We aimed to evaluate the predictive power of systemic inflammation response index (SIRI), a novel biomarker, to predict all-cause mortality in patients with traumatic brain injury (TBI) in the intensive care unit (ICU). METHODS: Clinical data were retrieved from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Kaplan-Meier (KM) methods and cox proportional hazard models were performed to examine the association between SIRI and all-cause mortality. The predictive power of SIRI was evaluated compared to other leukocyte-related indexes including neutrophils, lymphocytes, monocytes and white blood cells (WBC) by the Receiver Operating Characteristic (ROC)curve for 30-day mortality. In addition, propensity score matching (PSM) was conducted to reduce confounding. RESULTS: A total of 350 TBI patients were enrolled overall in our study. The optimal cutoff point of SIRI was determined at 11.24 × 10(9)/L. After 1:1 PSM, 66 matched pairs (132 patients) were generated. During the 30-day, in-hospital and 365-day follow-up periods, patients with low SIRI level were associated with improved survival (p < 0.05) compared with patients with high SIRI level. Cox regression analysis identified that higher SIRI values was an independent risk factor for all-cause mortality and results were stable on multiple subgroup analyses. Furthermore, ROC analysis indicated that the area under the curve of SIRI [0.6658 (95% Confidence Interval, 0.5630–0.7687)] was greater than that of neutrophils, monocytes, lymphocytes and WBC. The above results were also observed in the matched cohort. CONCLUSION: It was suggested that TBI patients with high SIRI level would suffer from a high risk of 30-day, in-hospital and 365-day mortality. SIRI is a promising inflammatory biomarker for predicting TBI patients' prognosis with relatively better predictive power than other single indicators related to peripheral differential leukocyte counts. |
format | Online Article Text |
id | pubmed-9666699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96666992022-11-17 The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study Mao, Baojie Feng, Lei Lin, Dongdong Shen, Yanfei Ma, Jiangchun Lu, Yuning Zhang, Rui Wang, Ming Wan, Shu Front Neurol Neurology BACKGROUND: We aimed to evaluate the predictive power of systemic inflammation response index (SIRI), a novel biomarker, to predict all-cause mortality in patients with traumatic brain injury (TBI) in the intensive care unit (ICU). METHODS: Clinical data were retrieved from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Kaplan-Meier (KM) methods and cox proportional hazard models were performed to examine the association between SIRI and all-cause mortality. The predictive power of SIRI was evaluated compared to other leukocyte-related indexes including neutrophils, lymphocytes, monocytes and white blood cells (WBC) by the Receiver Operating Characteristic (ROC)curve for 30-day mortality. In addition, propensity score matching (PSM) was conducted to reduce confounding. RESULTS: A total of 350 TBI patients were enrolled overall in our study. The optimal cutoff point of SIRI was determined at 11.24 × 10(9)/L. After 1:1 PSM, 66 matched pairs (132 patients) were generated. During the 30-day, in-hospital and 365-day follow-up periods, patients with low SIRI level were associated with improved survival (p < 0.05) compared with patients with high SIRI level. Cox regression analysis identified that higher SIRI values was an independent risk factor for all-cause mortality and results were stable on multiple subgroup analyses. Furthermore, ROC analysis indicated that the area under the curve of SIRI [0.6658 (95% Confidence Interval, 0.5630–0.7687)] was greater than that of neutrophils, monocytes, lymphocytes and WBC. The above results were also observed in the matched cohort. CONCLUSION: It was suggested that TBI patients with high SIRI level would suffer from a high risk of 30-day, in-hospital and 365-day mortality. SIRI is a promising inflammatory biomarker for predicting TBI patients' prognosis with relatively better predictive power than other single indicators related to peripheral differential leukocyte counts. Frontiers Media S.A. 2022-11-02 /pmc/articles/PMC9666699/ /pubmed/36408504 http://dx.doi.org/10.3389/fneur.2022.995925 Text en Copyright © 2022 Mao, Feng, Lin, Shen, Ma, Lu, Zhang, Wang and Wan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Mao, Baojie Feng, Lei Lin, Dongdong Shen, Yanfei Ma, Jiangchun Lu, Yuning Zhang, Rui Wang, Ming Wan, Shu The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study |
title | The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study |
title_full | The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study |
title_fullStr | The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study |
title_full_unstemmed | The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study |
title_short | The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study |
title_sort | predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: a propensity score matching study |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666699/ https://www.ncbi.nlm.nih.gov/pubmed/36408504 http://dx.doi.org/10.3389/fneur.2022.995925 |
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