Journal of clinical anesthesia
The most recent articles from:
J Clin Anesth
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Observational Study
Development and validation of a machine learning model to predict postoperative delirium using a nationwide database: A retrospective, observational study.
Postoperative delirium is a neuropsychological syndrome that typically occurs in surgical patients. Its onset can lead to prolonged hospitalization as well as increased morbidity and mortality. Therefore, it is important to promptly identify its signs. This study aimed to develop and validate a machine learning predictive model for postoperative delirium using extensive population data. ⋯ Using extensive Diagnostic Procedure Combination data, we successfully created and validated a machine learning model for predicting postoperative delirium. This model may facilitate prediction of postoperative delirium.
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Editorial Letter Case Reports
Diagnostic use of ultrasound for patients with neuropathic pain.