Objective: Cranial computed tomography (CT) is not recommended in the routine evaluation of children with first afebrile seizure due to its low yield. The objective was to assess the current practice in our pediatric emergency department regarding the use of head CT in children with first afebrile seizure and to identify the factors that lead to ordering a head CT.
Methods: Medical records of patients between 1 month and 18 years old evaluated at our emergency department for presentation of first afebrile seizure between 2010 and 2014 were retrospectively reviewed. Data extracted include age, gender, seizure type, single or multiple seizures at presentation, seizure duration, predisposing conditions to seizures (ie, history of developmental delay), and whether a head CT was performed. Contingency tables with chi-square analyses were used to determine which variables were associated with increased use of head CT.
Results: Of 155 patients (88M/67F) included in the study, 72 (46.5%) underwent head CT and only 3 had clinically significant findings that did not require acute management. There were no differences in CT use by age, sex, seizure type, seizure number, seizure risk factors, or findings on physical examination. Head CT was performed more frequently in cases with seizures ≥5 minutes and unknown seizure duration ( P = .04).
Conclusion: Despite existing evidence, the emergent head CT rate was high in our cohort. Children with seizure duration of ≥5 minutes or of unknown duration were more likely to undergo head CT in our emergency department.
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http://dx.doi.org/10.1177/0883073818786086 | DOI Listing |
Ann Med
December 2025
Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Background: Update, the link between HIV infection and abnormal glucose metabolism (AGM) is still unclear. This study aims to investigate the impact of HIV infection on AGM, including insulin resistance (IR), impaired fasting glucose (IFG), and diabetes mellitus (DM).
Methods: A multicenter case-control study was conducted in Zhejiang province, China.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFJAMA
January 2025
Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, Japan.
JAMA Netw Open
January 2025
University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain.
Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection.
JAMA Surg
January 2025
Department of Surgery, State University of New York, Downstate Health Sciences University, Brooklyn.
Importance: Chronic limb-threatening ischemia (CLTI) is a major public health issue that requires considerable human and physical resources to provide optimal patient care. It is essential to characterize the disease severity and resource needs of patients with CLTI presenting to facilities of varying resource capacities.
Objective: To investigate the association between facility-level Medicaid payer proportions and the incidence of nonelective admissions among patients admitted for CLTI.
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