Literature DB >> 26148794

Evaluation of S100B in the diagnosis of suspected intracranial hemorrhage after minor head injury in patients who are receiving platelet aggregation inhibitors and in patients 65 years of age and older.

Heinrich Wolfgang Thaler1, Jochen Schmidsfeld2, Michael Pusch1, Simon Pienaar1, Jörg Wunderer1, Paul Pittermann1, Rosmarie Valenta3, Andreas Gleiss4, Christian Fialka1, Mehdi Mousavi2.   

Abstract

OBJECT: Cranial CT (CCT) scans and hospital admission are increasingly performed to rule out intracranial hemorrhage in patients after minor head injury (MHI), particularly in older patients and in those receiving antiplatelet therapy. This leads to high radiation exposure and a growing financial burden. The aim of this study was to determine whether the astroglial-derived protein S100B that is released into blood can be used as a reliable negative predictive tool for intracranial bleeding in patients after MHI, when they are older than 65 years or being treated with antiplatelet drugs (low-dose aspirin, clopidogrel).
METHODS: The authors conducted a prospective observational study in 2 trauma hospitals. A total of 782 patients with MHI (Glasgow Coma Scale Score 13-15) who were on medication with platelet aggregation inhibitors (PAIs) or were age 65 years and older, independent of antiplatelet therapy, were included. Clinical examination, bloodwork, observation, and CCT were performed in the traumatology emergency departments. When necessary, patients were admitted and observation took place on the ward; in these patients, CCT was performed during their hospital stay. Patients with severe trauma, focal neurological deficits, posttraumatic seizures, anticoagulant therapy, alcohol intoxication, coagulation disorder, blood sampling more than 3 hours after trauma, and unknown time of the trauma were excluded from the study. The median age of the patients was 83 years, and 69% were female. Sensitivity, specificity, and positive and negative predictive values of S100B with reference to CCT findings were calculated. The cutoff of S100B was set at 0.105 μg/L.
RESULTS: Of the 782 patients, 50 (6.4%) had intracranial bleeding. One patient with positive results on CCT scan showed an S100B level below 0.105 μg/L. Of all patients, 33.1% were below the cutoff. S100B showed a sensitivity of 98.0% (CI 89.5%-99.7%), a negative predictive value of 99.6% (CI 97.9%-99.9%), a specificity of 35.3% (CI 31.9%- 38.8%), and a positive predictive value of 9.4% (CI 7.2%-12.2%).
CONCLUSIONS: Levels of S100B below 0.105 μg/L can accurately predict normal CCT findings after MHI in older patients and in those treated with PAIs. Combining conventional decision criteria with measurement of S100B can reduce the CCT scan and hospital admission rates by approximately 30%.

Entities:  

Keywords:  CCT = cranial CT; ED = emergency department; GCS = Glasgow Coma Scale; IQR = interquartile range; MHI = minor head injury; NPV = negative predictive value; PAI = platelet aggregation inhibitor; PPV = positive predictive value; S100B; intracranial hemorrhage; minor head injury; older patients; platelet aggregation inhibitors; traumatic brain injury

Mesh:

Substances:

Year:  2015        PMID: 26148794     DOI: 10.3171/2014.12.JNS142276

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  7 in total

1.  Deciphering glycomics and neuroproteomic alterations in experimental traumatic brain injury: Comparative analysis of aspirin and clopidogrel treatment.

Authors:  Hussein Abou-Abbass; Hisham Bahmad; Hadi Abou-El-Hassan; Rui Zhu; Shiyue Zhou; Xue Dong; Eva Hamade; Khalil Mallah; Abir Zebian; Naify Ramadan; Stefania Mondello; Jawad Fares; Youssef Comair; Samir Atweh; Hala Darwish; Kazem Zibara; Yehia Mechref; Firas Kobeissy
Journal:  Electrophoresis       Date:  2016-03-29       Impact factor: 3.535

2.  Magnesium Sulfate Provides Neuroprotection in Eclampsia-Like Seizure Model by Ameliorating Neuroinflammation and Brain Edema.

Authors:  Xiaolan Li; Xinjia Han; Jinying Yang; Junjie Bao; Xiaodan Di; Guozheng Zhang; Huishu Liu
Journal:  Mol Neurobiol       Date:  2016-11-22       Impact factor: 5.590

Review 3.  S100B, GFAP, UCH-L1 and NSE as predictors of abnormalities on CT imaging following mild traumatic brain injury: a systematic review and meta-analysis of diagnostic test accuracy.

Authors:  Michael Amoo; Jack Henry; Philip J O'Halloran; Paul Brennan; Mohammed Ben Husien; Matthew Campbell; John Caird; Mohsen Javadpour; Gerard F Curley
Journal:  Neurosurg Rev       Date:  2021-10-28       Impact factor: 3.042

Review 4.  Systematic Review of Serum Biomarkers in Traumatic Brain Injury.

Authors:  Khashayar Mozaffari; Dillon Dejam; Courtney Duong; Kevin Ding; Alexis French; Edwin Ng; Komal Preet; Alyssa Franks; Isabelle Kwan; H Westley Phillips; Dennis Y Kim; Isaac Yang
Journal:  Cureus       Date:  2021-08-10

5.  Predictive factors of intracranial bleeding in head trauma patients receiving antiplatelet therapy admitted to an emergency department.

Authors:  Farès Moustafa; Jean Roubin; Bruno Pereira; Alain Barres; Jennifer Saint-Denis; Christophe Perrier; Marine Mondet; Frederic Dutheil; Jeannot Schmidt
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-06-19       Impact factor: 2.953

6.  Serum Concentrations of Ubiquitin C-Terminal Hydrolase-L1 and Glial Fibrillary Acidic Protein after Pediatric Traumatic Brain Injury.

Authors:  Stefania Mondello; Firas Kobeissy; Annarita Vestri; Ronald L Hayes; Patrick M Kochanek; Rachel P Berger
Journal:  Sci Rep       Date:  2016-06-20       Impact factor: 4.379

7.  Blood-Based Protein Biomarkers for the Management of Traumatic Brain Injuries in Adults Presenting to Emergency Departments with Mild Brain Injury: A Living Systematic Review and Meta-Analysis.

Authors:  Stefania Mondello; Abayomi Sorinola; Endre Czeiter; Zoltán Vámos; Krisztina Amrein; Anneliese Synnot; Emma Donoghue; János Sándor; Kevin K W Wang; Ramon Diaz-Arrastia; Ewout W Steyerberg; David K Menon; Andrew I R Maas; Andras Buki
Journal:  J Neurotrauma       Date:  2018-07-02       Impact factor: 5.269

  7 in total

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