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Dataset Information

Derivation and validation of a novel comorbidity-based delirium risk index to predict postoperative delirium using national administrative healthcare database.


ABSTRACT:

Objective

To derive and validate a comorbidity-based delirium risk index (DRI) to predict postoperative delirium.

Data source/study setting

Data of 506 438 hip fracture repair surgeries from 2006 to 2016 were collected to derive DRI and perform internal validation from the Premier Healthcare Database, which provided billing information on 20-25 percent of hospitalizations in the USA. Additionally, data of 1 130 569 knee arthroplasty surgeries were retrieved for external validation.

Study design

Thirty-six commonly seen comorbidities were evaluated by logistic regression with the outcome of postoperative delirium. The hip fracture repair surgery cohort was separated into a training dataset (60 percent) and an internal validation (40 percent) dataset. The least absolute

SUBMITTER: Zhong X 

PROVIDER: S-EPMC7839640 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature