Background: The Glasgow Coma Scale (GCS) is intended to be an objective, reliable measure of a patient's mental status. It is included as a metric for trauma registries, having implications for performance metrics and research. Our study compared the GCS recorded in the trauma registry (GCS-1) with that recorded in the neurosurgery consultation (GCS-2).
Methods: This retrospective review compared GCS-1 with GCS-2. The Trauma Injury Severity Score (TRISS) method was used to calculate probability of survival (POS) for patients using both GCS-1 and GCS-2.
Results: GCS-1 score significantly differed from GCS-2 score (6.69 vs. 7.84, ± 2.553; P < 0.001). There were 172 patients (37.55%) with a GCS-1 score of 3 and 87 (19.00%) with a GCS-2 score of 3 (χP < 0.001). The POS calculated using TRISS methodology with GCS-1 (POS-1) was 74.7% ± 26.6% compared with GCS-2 (POS-2), which was 79.3% ± 24.4%. There was a statistically significant difference in the means of POS-2 and POS-2 (P < 0.001). The actual observed survival for the cohort was 71.0% (325/458).
Conclusions: The immediate GCS score recorded on patient arrival after trauma differs significantly from the GCS score recorded at later times. This finding significantly altered the probability of survival as calculated by the TRISS methodology. This situation could have profound effects on risk-adjusted benchmarking, assessments of quality of care, and injury severity stratification for research. More studies into the optimal timing of GCS score recording or changes in GCS score and their impact on survival are warranted.
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http://dx.doi.org/10.1016/j.wneu.2022.04.019 | DOI Listing |
Endoscopy
January 2025
Gastroenterology and Hepatology, Amsterdam UMC Location VUmc, Amsterdam, Netherlands.
Background: Patient experience is a fundamental element of colonoscopy. The Gloucester Comfort Scale (GCS) is used by clinicians to report patient comfort. However, insights regarding the extent to which clinician-reported GCS scores represent the patient's experience are lacking.
View Article and Find Full Text PDFFront Clin Diabetes Healthc
January 2025
Department of Clinical Pharmacy, School of Pharmacy, Institute of Health Sciences, Wallaga University, Nekemte, Ethiopia.
Background: Diabetic ketoacidosis (DKA) is a serious and acute complication of diabetes mellitus. In Ethiopia, the mortality associated with acute diabetes complications ranges from 9.8% to 12%.
View Article and Find Full Text PDFJ Med Biochem
November 2024
People's Hospital of Xuyi County, Department of Pathology, Huaian, Jiangsu Province, China.
Background: Serum neuritin and neuron-specific enolase (NSE) have predictive value for the prognosis of patients with combined traumatic brain injury (TBI) and spinal cord injury (SCI). Studying their predictive effects has positive value for disease control and treatment.
Methods: Sixty patients with combined TBI and SCI were recruited and rolled into three groups according to prognosis: Group I (n=42, favourable prognosis), Group II (n=11, poor prognosis), and Group III (n=7, death).
Intern Emerg Med
January 2025
Department of Intensive Care Unit, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Multi-trauma presents significant challenges due to the complexity of injuries and high mortality rates. Early identification and intervention are crucial for improving outcomes in these critically injured patients. This retrospective study analyzed clinical data from multi-trauma patients admitted to the emergency department of Huiyang Sanhe Hospital between January 10, 2020, and September 30, 2022.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China.
Background: Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrovascular disease after ischemic stroke, with high mortality and disability rates, imposing a significant economic burden on families and society. This retrospective study aimed to develop and evaluate an interpretable machine learning model to predict functional outcomes 3 months after SICH.
Methods: A retrospective analysis was conducted on clinical data from 380 patients with SICH who were hospitalized at three different centers between June 2020 and June 2023.
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