Background: Seizure is a significant complication in patients under acute admission for aneurysmal SAH and could result in poor outcomes. Treatment strategies to optimize management will benefit from methods to better identify at-risk patients.
Objective: To develop and validate a risk score for convulsive seizure during acute admission for SAH.
Methods: A risk score was developed in 1500 patients from a single tertiary hospital and externally validated in 852 patients. Candidate predictors were identified by systematic review of the literature and were included in a backward stepwise logistic regression model with in-hospital seizure as a dependent variable. The risk score was assessed for discrimination using the area under the receiver operator characteristics curve (AUC) and for calibration using a goodness-of-fit test.
Results: The SAFARI score, based on 4 items (age ≥ 60 yr, seizure occurrence before hospitalization, ruptured aneurysm in the anterior circulation, and hydrocephalus requiring cerebrospinal fluid diversion), had AUC = 0.77, 95% confidence interval (CI): 0.73-0.82 in the development cohort. The validation cohort had AUC = 0.65, 95% CI 0.56-0.73. A calibrated increase in the risk of seizure was noted with increasing SAFARI score points.
Conclusion: The SAFARI score is a simple tool that adequately stratified SAH patients according to their risk for seizure using a few readily derived predictor items. It may contribute to a more individualized management of seizure following SAH.
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http://dx.doi.org/10.1093/neuros/nyx334 | DOI Listing |
Tanaffos
January 2024
Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of medical sciences, Tehran, Iran.
Background: Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder associated with multisystem organ involvement. The STOP-BANG questionnaire is a short and valid questionnaire used to screen OSA. This study aimed to investigate the ability of the STOP-BANG questionnaire to predict postoperative OSA- related respiratory complications in patients undergoing bariatric surgery.
View Article and Find Full Text PDFBMC Endocr Disord
December 2024
Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Altered thyroid function has been linked to insulin resistance (IR), but its relationship with the Metabolic Score for Insulin Resistance (METS-IR), a novel non-insulin-based index of IR, remains unclear. This study aimed to investigate the association between thyroid function status and METS-IR in a U.S.
View Article and Find Full Text PDFComput Methods Programs Biomed
November 2024
Laboratory of Cardiac Physiology, Department of Biomedical Sciences, University of Copenhagen, Denmark; Department of Internal Medicine, Eifelklinik St. Brigida GmbH & CO KG., Simmerath, Germany.
Background: Machine learning-based analysis can accurately detect atrial fibrillation (AF) from photoplethysmograms (PPGs), however the computational requirements for analyzing raw PPG waveforms can be significant. The analysis of PPG-derived peak-to-peak intervals may offer a more feasible solution for smartphone deployment, provided the diagnostic utility is comparable.
Aims: To compare raw PPG waveforms and PPG-derived peak-to-peak intervals as input signals for machine learning detection of AF.
Bioscience
November 2024
Wild Foods Institute, Department of Fisheries and Wildlife at Michigan State University, East Lansing, Michigan, United States.
Adv Biomed Res
September 2024
Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Background: Psoriatic arthritis (PsA) is a systemic auto-immune condition characterized by diverse and distinctive inflammation, affecting both musculoskeletal and extra-articular systems. This study aims to investigate the role of regulatory T-cells (Tregs), specifically the CD4+CD25+/high CD127-/low subset, in PsA pathogenesis, and their potential as biomarkers and therapeutic targets.
Materials And Methods: In a case-control study involving 40 PsA patients and 25 healthy individuals, CD4+ CD25+/high CD127-/low Tregs were analyzed in peripheral blood mononuclear cells (PBMCs) using flow cytometry.
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