Background: Mild traumatic brain injury (TBI) is a common condition at the Emergency Medicine Department. Head computer tomography (CT) scans in mild TBI patients must be properly justified in order to avoid unnecessary exposure to X-rays and to reduce the hospital/transfer costs. This study aimed to evaluate which clinical factors are associated with intracranial hemorrhage in Asian population and to develop a user-friendly predictive model.
Methods: The study was conducted retrospectively at the Emergency Medicine Department in Ramathibodi Hospital, a university-affiliated super tertiary care hospital in Bangkok, Thailand. The study period was between September 2013 and August 2016. The inclusion criteria were age >15 years and having received a head CT scan after presenting with mild TBI. Those patients with mild TBI and no symptoms/deterioration after 24 h of clinical observation were excluded. The predictive model and prediction score for intracranial hemorrhage was developed by multivariate logistic regression analysis.
Results: During the study period, there were 708 patients who met the study criteria. Of those, 100 patients (14.12%) had positive head CT scan results. There were seven independent factors that were predictive of intracranial hemorrhage. The clinical risk scores to predict intracranial hemorrhage are developed with an accuracy of 92%. The score of >3 had the likelihood of intracranial hemorrhage by 1.47 times.
Conclusion: Clinical predictive score of >3 was associated with intracranial hemorrhage in mild TBI.
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http://dx.doi.org/10.2147/TCRM.S147079 | DOI Listing |
J Clin Med
December 2024
Department of Gynecology, Obstetrics and Neonatology, Division of Gynecology and Obstetrics, Medical University of Gdańsk, 80-210 Gdańsk, Poland.
Premature deliveries and preterm newborns are of a special significance to obstetricians. Despite great improvement in neonatal intensive care in the last two decades, prematurity is still the leading cause of neonatal mortality and morbidity. Complications associated with premature deliveries are malpresentation, prolapse of the umbilical cord, entrapment of some parts of the fetal body, as well as severe bruising or bone fractures.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Engineering, Army Medical University, The Third Military Medical University, Chongqing 400038, China.
Magnetic induction phase shift is a promising technology for the detection of cerebral hemorrhage, owing to its nonradioactive, noninvasive, and real-time detection properties. To enhance the detection sensitivity and linearity, a zero-flow sensor was proposed. The uniform primary magnetic field and its counteraction were achieved.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurosurgery, University Hospital Leipzig, Leipzig, Saxony, Germany.
To assess the predictive accuracy of advanced AI language models and established clinical scales in prognosticating outcomes for patients with aneurysmal subarachnoid hemorrhage (aSAH). This retrospective cohort study included 82 patients suffering from aSAH. We evaluated the predictive efficacy of AtlasGPT and ChatGPT 4.
View Article and Find Full Text PDFTaiwan J Obstet Gynecol
January 2025
Department of Obstetrics & Gynecology, Iizuka Hospital, Fukuoka, Japan.
Objectives: The main objective of this case report is to discuss the differentiation between hyperemesis gravidarum and a brain tumor in the presence of hyperemesis symptoms in the first trimester of pregnancy.
Case Report: A patient was initially diagnosed with hyperemesis gravidarum in early pregnancy and was hospitalized. After hospitalization, cerebral hemorrhage and cerebral hernia due to convulsions occurred.
Taiwan J Obstet Gynecol
January 2025
Genetics Lab of Longgang Maternity and Child Institute of Shantou University Medical College (Longgang District Maternity & Child Healthcare Hospital of Shenzhen City), Shenzhen, Guangdong, China. Electronic address:
Objective: This is a case report of a COL4A1 gene mutation which was confirmed by further genetic testing following anomalies observed in prenatal ultrasound and fetal brain magnetic resonance imaging (MRI).
Case Reports: The ultrasound examination of the patient revealed a mass in fetal left intracranial cavity. Repeated subsequent MRI detected an evolving mass in the left frontal parietal lobe.
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