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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.
Afiliación
  • Mao B; The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Feng L; Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Lin D; The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Shen Y; Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Ma J; Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Lu Y; Department of Intensive Care, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhang R; Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Wang M; The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Wan S; Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Front Neurol ; 13: 995925, 2022.
Article en En | MEDLINE | ID: mdl-36408504
ABSTRACT

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 × 109/L. After 11 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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2022 Tipo del documento: Article País de afiliación: China