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Multimodal assessment predicts cognitive impairment after aneurysmal subarachnoid hemorrhage: a prospective cohort study.
Int J Surg
January 2025
Department of neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Risk factors and mechanisms of cognitive impairment (CI) after aneurysmal subarachnoid hemorrhage (aSAH) are unclear. This study used a neuropsychological battery, MRI, ERP and CSF and plasma biomarkers to predict long-term cognitive impairment after aSAH.
Materials And Methods: 214 patients hospitalized with aSAH (n = 125) or unruptured intracranial aneurysms (UIA) (n = 89) were included in this prospective cohort study.
Termination of Resuscitation Rules for In-Hospital Cardiac Arrest.
JAMA Intern Med
January 2025
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Importance: There are no validated decision rules for terminating resuscitation during in-hospital cardiac arrest. Decision rules may guide termination and prevent inappropriate early termination of resuscitation.
Objective: To develop and validate termination of resuscitation rules for in-hospital cardiac arrest.
Integrating e-learning into the educational framework for undergraduate medical training: a Nigerian survey on trainers´ perception and readiness.
Pan Afr Med J
January 2025
Department of Paediatrics, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria.
Introduction: given the significant disruption in educational activities during the COVID-19 pandemic and the uncertainties about the post-pandemic future, coupled with increasing demand for the healthcare workforce, e-learning may bridge the gap in training medical students. It was imperative to survey the perception and readiness of the trainers on the use of e-learning for undergraduate medical training in Nigeria.
Methods: this cross-sectional study was conducted among teachers of medical students in Nigeria.
Objective: Federated research networks, like Evolve to Next-Gen Accrual of patients to Clinical Trials (ENACT), aim to facilitate medical research by exchanging electronic health record (EHR) data. However, poor data quality can hinder this goal. While networks typically set guidelines and standards to address this problem, we developed an organically evolving, data-centric method using patient counts to identify data quality issues, applicable even to sites not yet in the network.
View Article and Find Full Text PDFRisk Estimation of Severe Primary Graft Dysfunction in Heart Transplant Recipients Using a Smartphone.
Rev Cardiovasc Med
January 2025
Cardiac Surgery, Lausanne University Hospital CHUV Lausanne, 1011 Lausanne, Switzerland.
Background: Currently, there are no standardized guidelines for graft allocation in heart transplants (HTxs), particularly when considering organs from marginal donors and donors after cardiocirculatory arrest. This complexity highlights the need for an effective risk analysis tool for primary graft dysfunction (PGD), a severe complication in HTx. Existing score systems for predicting PGD lack superior predictive capability and are often too complex for routine clinical use.
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