Statistical analyses were performed using RStudio version 4.2.1 and packages: finalfit; dplyr; survival; survminer; TableOne, epiDisplay, and tidyverse (Integrated Development for R; Rstudio, PBC, USA). Delirium was coded as a binary variable: 4AT score ≥ 4 suggestive of delirium.22 (link),26 (link) Continuous variables were assessed for differences between groups using an independent-samples t-test (parametric) or Mann-Whitney U test (non-parametric), and categorical variables using a chi-squared test. Multivariable logistic regression was used to analyse associations of delirium with: 1) mortality at 30 and 180 days; 2) need for post-acute inpatient rehabilitation; and 3) for patients discharged from the acute stay to a home within the catchment area, likelihood of readmission to an acute hospital within 180 days. All multivariable models included covariates: age, sex, SIMD quintile, COVID-19 within 30 days, and ASA grade. A p-value of < 0.05 was deemed significant. Assumptions of logistic regression were tested and satisfied.
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