ArticleCureus2023
Prediction of In-Hospital Mortality in Patients With Traumatic Brain Injury Using the Rotterdam and Marshall CT Scores: A Retrospective Study From Western India.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Article
- Article
- Association of Marshall CT Scores with GFAP, UCH-L1, Tau, NfL, and p-Tau231 After Traumatic Brain Injury.International journal of molecular sciences · 2025Article
- A novel CT-based edema grading system combined with machine learning for precise prognostic prediction in traumatic brain injury.European journal of medical research · 2025Article
- Article
- Interleukin-6 and its association with outcome in traumatic brain injury: a prospective cohort.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Deciphering the effectiveness of computed tomography scoring systems in improving mortality prediction for traumatic brain injury: a systematic review and bibliometric analysis.Journal of trauma and injury · 2025Article
- Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury.Scientific reports · 2025Article
- Predicting outcomes in severe traumatic brain injury: A prospective analysis of clinical, radiological, and laboratory indicators.Surgical neurology international · 2025Article
- Feasibility study on intracranial pressure and prognosis of patients with moderate and severe craniocerebral injury using the Rotterdam computed tomography score: an observational study.Frontiers in neurology · 2025Article
- Traumatic brain injury outcomes and mortality predictors in Eastern India: An observational study.SAGE open medicine · 2025Article
- Injury Severity Score Precision for Determining Undertriage in Trauma Consultation Patients: A Retrospective Study.Cureus · 2024Article
- Article
- Article
- A two-center prospective cohort study of serum RIP-3 as a potential biomarker in relation to severity and prognosis after severe traumatic brain injury.Neurosurgical review · 2024Article
- Consideration of Brain CT Imaging Standard for Mild Head Injuries.Neurologia medico-chirurgica · 2024Article
- Article
- Neurosurgical intervention in ultra-severe closed traumatic brain injury: Is it worth the effort?Brain & spine · 2024Review
- Updated Review of Neurologic Concussion Biomarkers for Time-sensitive Point-of-care Testing.Journal of emergencies, trauma, and shockReview
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4 authors.
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Abstract
Objective Head trauma of any severity, including concussions and skull fractures, can cause a traumatic brain injury (TBI). Prognostication plays a vital role in the scenario of urgency put forth by TBI. The application of CT-based scoring systems developed by the Rotterdam CT score and Marshall classification system appears to be appropriate for the early and precise prediction of clinical outcomes in TBI patients. The present study was designed to determine the predictive value of the Rotterdam CT score and Marshall classification system for in-hospital mortality in patients with TBI. Methods All adult patients (≥ 18 years) with acute traumatic brain injury presented over a period from February 2019 to November 2022 were included. Only those patients who had undergone a plain CT scan of the brain during the initial presentation at the emergency department (ED) were considered. Patients who presented with penetrating brain injury as well as those who died on arrival or who died prior to the initial CT scan of the brain were excluded. A total of 127 patients were included in the final data analysis. Based on initial CT-scan findings, the Rotterdam CT score and Marshall classification system were calculated in order to predict in-hospital mortality. Results The study was dominated by male patients (85.8%) as compared to female patients (14.2%). The overall mortality rate was 32.3% (n = 41). The mortality rate among males and females was 30.3% (33/109) and 44.4% (8/18), respectively. As per the Glasgow Coma Scale (GCS) classification, the severity of the injury was mild in 12.6% of the study subjects, moderate in 22%, and severe in 65.4%. The mortality rate among the patients with mild severity was 12.5% (2/16), while it was 28.6% in moderate (8/28) and 37.3% (31/83) in the severe category group. The best cut-off point of the Rotterdam score for predicting mortality was >4 (as per the Youden Index), which had a sensitivity and specificity of 60.98% and 90.70%, respectively, while the cut-off point of the Marshall CT classification for predicting mortality was >3 (as per the Youden Index), which had a sensitivity of 82.93% and a specificity of 75.58%. There was only a minor difference in the area under the curve (AUC) value of the receiver operating characteristic curve (ROC) curve between the Rotterdam CT score (0.827) and the Marshall classification system (0.833). Conclusion The Rotterdam and Marshall CT scores have demonstrated significant independent prognostic value and may serve as a useful initial evaluation tool for risk stratification of in-hospital mortality among patients with TBI.
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