Takuya Nishino

Machine Learning–Based Prediction of Major Postoperative Complications After Noncardiac Surgery Under General Anesthesia Using Routinely Available Electronic Health Record Data: Retrospective Multicenter Development and Validation Study

Abstract Background Postoperative complications after noncardiac surgery under general anesthesia remain a major cause of morbidity, mortality, and resource-intensive care. Conventional risk assessment tools rely mainly on preoperative information and may not capture perioperative physiological and procedural factors a...

Development and internal validation of prediction models for ICU-level intervention and 14-day mortality at Medical Emergency Team activation: A retrospective cohort study

Defining intensive care need based on treatment intensity rather than ICU admission may provide an operational framework for risk stratification at MET activation and demonstrate clinical net benefit across a range of threshold probabilities.

Association between Early Postoperative Sodium Change and Postoperative Delirium after General Anesthesia.

BACKGROUND Postoperative delirium (POD) is a frequent neuropsychiatric complication after surgery under general anesthesia and is associated with adverse outcomes. Although perioperative dysnatremia has been linked to POD, most studies relied on static sodium measurements and failed to capture early postoperative dynam...

Association between early in-hospital physiological and functional changes and fall risk in older adults: a retrospective multicenter cohort study.