The utility of S100B level in detecting mild traumatic brain injury in intoxicated patients.


Journal

The American journal of emergency medicine
ISSN: 1532-8171
Titre abrégé: Am J Emerg Med
Pays: United States
ID NLM: 8309942

Informations de publication

Date de publication:
04 2020
Historique:
received: 01 06 2019
revised: 22 11 2019
accepted: 02 12 2019
pubmed: 31 12 2019
medline: 4 8 2020
entrez: 30 12 2019
Statut: ppublish

Résumé

S100B is a serum protein known to elevate in patients with brain injury, but it is unknown whether it can predict intracranial pathology in intoxicated patients following mild traumatic brain injury (MTBI). We performed a systematic review and meta-analysis of the English language literature to address this question. Four prospective cohort trials of serum S100B levels on acutely intoxicated patients with MTBI were included in this meta-analysis. Prevalence of intracranial pathology in the pooled cohort of the intoxicated MTBI patients was 10%, lower than the 15-30% reported in the literature for the general MTBI population. Standard mean difference of serum S100B levels between patients with and without intracranial pathology on CT was 0.73 μg/L (Z = 18.33, P < 0.001). Following sensitivity analysis and hierarchical summary receiver-operating characteristic models, three remaining articles were used for pooled estimates that found that S100B had a sensitivity of 0.96 (95% CI: 0.84-1.00, I2 = 0%) and specificity of 0.63 (95% CI: 0.58-0.68, I2 = 86.8%) with a high negative predictive value (100%, 95% CI: 95.14-100, I2 = 0%) and a negative LR of 0.06 (95% CI: 0.01-0.31). Serum S100B levels may have utility in ruling out intracranial pathology in intoxicated patients, however more study and comparison with other serum biomarkers of brain injury are necessary before this becomes the accepted standard of care.

Sections du résumé

BACKGROUND
S100B is a serum protein known to elevate in patients with brain injury, but it is unknown whether it can predict intracranial pathology in intoxicated patients following mild traumatic brain injury (MTBI). We performed a systematic review and meta-analysis of the English language literature to address this question.
MAIN OUTCOMES AND RESULTS
Four prospective cohort trials of serum S100B levels on acutely intoxicated patients with MTBI were included in this meta-analysis. Prevalence of intracranial pathology in the pooled cohort of the intoxicated MTBI patients was 10%, lower than the 15-30% reported in the literature for the general MTBI population. Standard mean difference of serum S100B levels between patients with and without intracranial pathology on CT was 0.73 μg/L (Z = 18.33, P < 0.001). Following sensitivity analysis and hierarchical summary receiver-operating characteristic models, three remaining articles were used for pooled estimates that found that S100B had a sensitivity of 0.96 (95% CI: 0.84-1.00, I2 = 0%) and specificity of 0.63 (95% CI: 0.58-0.68, I2 = 86.8%) with a high negative predictive value (100%, 95% CI: 95.14-100, I2 = 0%) and a negative LR of 0.06 (95% CI: 0.01-0.31).
CONCLUSIONS
Serum S100B levels may have utility in ruling out intracranial pathology in intoxicated patients, however more study and comparison with other serum biomarkers of brain injury are necessary before this becomes the accepted standard of care.

Identifiants

pubmed: 31884023
pii: S0735-6757(19)30797-1
doi: 10.1016/j.ajem.2019.12.004
pii:
doi:

Substances chimiques

Biomarkers 0
S100 Calcium Binding Protein beta Subunit 0
S100B protein, human 0

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

799-805

Informations de copyright

Published by Elsevier Inc.

Auteurs

Shoja Rahimian (S)

Department of Internal Medicine, Reading Hospital, Tower Health System, 420 S. Fifth Avenue, West Reading, PA 19611, USA. Electronic address: shoja.rahimian@towerhealth.org.

Shawn Potteiger (S)

Department of Internal Medicine, Reading Hospital, Tower Health System, 420 S. Fifth Avenue, West Reading, PA 19611, USA.

Richard Loynd (R)

Department of Internal Medicine, Reading Hospital, Tower Health System, 420 S. Fifth Avenue, West Reading, PA 19611, USA.

Christopher Mercogliano (C)

Department of Internal Medicine, Reading Hospital, Tower Health System, 420 S. Fifth Avenue, West Reading, PA 19611, USA.

Adam Sigal (A)

Department of Emergency Medicine, Reading Hospital, Tower Health System, 420 S. Fifth Avenue, West Reading, PA 19611, USA.

Alex Short (A)

Department of Internal Medicine, Reading Hospital, Tower Health System, 420 S. Fifth Avenue, West Reading, PA 19611, USA.

Anthony Donato (A)

Department of Internal Medicine, Reading Hospital, Tower Health System, 420 S. Fifth Avenue, West Reading, PA 19611, USA.

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Classifications MeSH