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Dataset Information

Predicting incident delirium diagnoses using data from primary-care electronic health records.


ABSTRACT:

Importance

risk factors for delirium in hospital inpatients are well established, but less is known about whether delirium occurring in the community or during an emergency admission to hospital care might be predicted from routine primary-care records.

Objectives

identify risk factors in primary-care electronic health records (PC-EHR) predictive of delirium occurring in the community or recorded in the initial episode in emergency hospitalisation. Test predictive performance against the cumulative frailty index.

Design

Stage 1: case-control; Stages 2 and 3: retrospective cohort.

Setting

clinical practice research datalink: PC-EHR linked to hospital discharge data from England.

Subjects

Stage 1: 17,286 patients with delirium aged ≥60 years plus 85,607 co

SUBMITTER: Bowman K 

PROVIDER: S-EPMC7297278 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature