The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study
BackgroundWe 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).MethodsClinical data were retrieved from the Medical Information Mart f...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2022.995925/full |
| _version_ | 1828307827559497728 |
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| author | Baojie Mao Baojie Mao Lei Feng Lei Feng Dongdong Lin Yanfei Shen Jiangchun Ma Yuning Lu Yuning Lu Rui Zhang Rui Zhang Ming Wang Shu Wan |
| author_facet | Baojie Mao Baojie Mao Lei Feng Lei Feng Dongdong Lin Yanfei Shen Jiangchun Ma Yuning Lu Yuning Lu Rui Zhang Rui Zhang Ming Wang Shu Wan |
| author_sort | Baojie Mao |
| collection | DOAJ |
| description | BackgroundWe 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).MethodsClinical 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.ResultsA total of 350 TBI patients were enrolled overall in our study. The optimal cutoff point of SIRI was determined at 11.24 × 109/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.ConclusionIt 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. |
| first_indexed | 2024-04-13T15:04:29Z |
| format | Article |
| id | doaj.art-952601b5706b4de587f483c39dd5a33d |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-04-13T15:04:29Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Neurology |
| spelling | doaj.art-952601b5706b4de587f483c39dd5a33d2022-12-22T02:42:13ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-11-011310.3389/fneur.2022.995925995925The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching studyBaojie Mao0Baojie Mao1Lei Feng2Lei Feng3Dongdong Lin4Yanfei Shen5Jiangchun Ma6Yuning Lu7Yuning Lu8Rui Zhang9Rui Zhang10Ming Wang11Shu Wan12The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Intensive Care, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaBackgroundWe 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).MethodsClinical 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.ResultsA total of 350 TBI patients were enrolled overall in our study. The optimal cutoff point of SIRI was determined at 11.24 × 109/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.ConclusionIt 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.https://www.frontiersin.org/articles/10.3389/fneur.2022.995925/fullsystemic inflammation response index (SIRI)traumatic brain injury (TBI)all-cause mortalitypropensity score matching (PSM)Medical Information Mart for Intensive Care-IV |
| spellingShingle | Baojie Mao Baojie Mao Lei Feng Lei Feng Dongdong Lin Yanfei Shen Jiangchun Ma Yuning Lu Yuning Lu Rui Zhang Rui Zhang Ming Wang Shu Wan The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study Frontiers in Neurology systemic inflammation response index (SIRI) traumatic brain injury (TBI) all-cause mortality propensity score matching (PSM) Medical Information Mart for Intensive Care-IV |
| 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 | systemic inflammation response index (SIRI) traumatic brain injury (TBI) all-cause mortality propensity score matching (PSM) Medical Information Mart for Intensive Care-IV |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2022.995925/full |
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