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Delirium at the intensive care unit and long-term survival: a retrospective study.
BMC Neurol
January 2025
Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Background: Delirium is a common complication in patients at the intensive care unit (ICU) and is associated with prolonged ICU-stay and hospitalization and with increased morbidity. The impact of ICU-delirium on long-term survival is not clearly understood.
Methods: This retrospective single center observational study was conducted at the Institute of Intensive Care Medicine at the University Hospital Zurich, Switzerland.
Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study.
JMIR Perioper Med
January 2025
Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.
View Article and Find Full Text PDFPrivacy-preserving large language models for structured medical information retrieval.
NPJ Digit Med
September 2024
Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
Most clinical information is encoded as free text, not accessible for quantitative analysis. This study presents an open-source pipeline using the local large language model (LLM) "Llama 2" to extract quantitative information from clinical text and evaluates its performance in identifying features of decompensated liver cirrhosis. The LLM identified five key clinical features in a zero- and one-shot manner from 500 patient medical histories in the MIMIC IV dataset.
View Article and Find Full Text PDFCan GPT-3.5 generate and code discharge summaries?
J Am Med Inform Assoc
October 2024
Edinburgh Futures Institute, The University of Edinburgh, Edinburgh EH3 9EF, United Kingdom.
Objectives: The aim of this study was to investigate GPT-3.5 in generating and coding medical documents with International Classification of Diseases (ICD)-10 codes for data augmentation on low-resource labels.
Materials And Methods: Employing GPT-3.
Cognitive and functional change in skilled nursing facilities: Differences by delirium and Alzheimer's disease and related dementias.
J Am Geriatr Soc
November 2024
Bouvé College of Health Sciences, School of Pharmacy, Northeastern University, Boston, Massachusetts, USA.
Background: Whether cognitive and functional recovery in skilled nursing facilities (SNF) following hospitalization differs by delirium and Alzheimer's disease related dementias (ADRD) has not been examined.
Objective: To compare change in cognition and function among short-stay SNF patients with delirium, ADRD, or both.
Design: Retrospective cohort study using claims data from 2011 to 2013.
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