Background: The need for greater emphasis on research contributions in academic anesthesiology has been widely recognized in recent years. Some propose increasing integration of research, including dedicated research time, into ACGME requirements for residency and fellowship training experiences. The , an effective measure of research productivity that takes into account relevance and impact of an author's contributions on discourse within a field, was used to examine whether there are differences in research productivity between non-fellowship and fellowship-trained faculty in academic anesthesiology departments. This bibliometric was further used to examine differences in subspecialties, and other specialties of medicine.
Methods: Research productivity, as measured by the , was examined using the Scopus database for 508 academic Anesthesiologists practicing in the various subspecialties.
Results: There was no statistical difference in research productivity, as measured by the between non-fellowship and fellowship-trained academic anesthesiologists (2.98+-0.32 vs. 2.88+-0.31). Critical care anesthesiologists had the highest (5.78+-1.11), while regional anesthesia and pain medicine practitioners had the lowest values (1.18+-0.32). Unlike in anesthesiology, a sample of physicians from other specialties revealed a statistical difference in between non-fellowship and fellowship-trained physicians.
Conclusions: Scholarly productivity, as measured by the was similar for fellowship and non-fellowship trained anesthesiologists.
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Anesthesiology
December 2024
Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, P.R. China.
Background: Perioperative strokes may promote postoperative neurocognitive dysfunction. We thus evaluated the incidence of postoperative strokes and the association between strokes and postoperative neurocognitive outcomes in older patients recovering from non-cardiac surgery.
Methods: PRECISION was a two-center prospective cohort study.
Epilepsia
December 2024
Clinic for Intensive Care Medicine, Department of Acute Care, University Hospital Basel, Basel, Switzerland.
Objective: Large language models (LLMs) have recently gained attention for clinical decision-making and diagnosis. This study evaluates the performance of the recently updated LLM (ChatGPT-4o) in predicting clinical outcomes in patients with status epilepticus and compares its prognostic performance to the Status Epilepticus Severity Score (STESS).
Methods: This retrospective single-center cohort study was performed at the University Hospital Basel (tertiary academic medical center) from January 2005 to December 2022.
J Pain Res
December 2024
Department of Anesthesiology, Perioperative, and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Clin Pharmacokinet
December 2024
Department of Anesthesiology, University of Groningen, University Medical Center Groningen, P. O. Box 30001, 9700 RB, Groningen, The Netherlands.
Background And Objectives: The pharmacokinetics (PK) of piperacillin/tazobactam (PIP/TAZ) is highly variable across different patient populations and there are controversies regarding non-linear elimination as well as the fraction unbound of PIP (f). This has led to a plethora of subgroup-specific models, increasing the risk of misusing published models when optimising dosing regimens. In this study, we aimed to develop a single model to simultaneously describe the PK of PIP/TAZ in diverse patient populations and evaluate the current dosing recommendations by predicting the PK/pharmacodynamics (PD) target attainment throughout life.
View Article and Find Full Text PDFJ Cardiothorac Vasc Anesth
November 2024
Stanford Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, CA.
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