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Dataset Information

Development and validation of an international preoperative risk assessment model for postoperative delirium.


ABSTRACT:

Background

Postoperative delirium (POD) is a frequent complication in older adults, characterised by disturbances in attention, awareness and cognition, and associated with prolonged hospitalisation, poor functional recovery, cognitive decline, long-term dementia and increased mortality. Early identification of patients at risk of POD can considerably aid prevention.

Methods

We have developed a preoperative POD risk prediction algorithm using data from eight studies identified during a systematic review and providing individual-level data. Ten-fold cross-validation was used for predictor selection and internal validation of the final penalised logistic regression model. The external validation used data from university hospitals in Switzerland and Germany.

Results

Dev

SUBMITTER: Dodsworth BT 

PROVIDER: S-EPMC10250022 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature