Univariable and multivariable logistic regression.

<p>Univariable and multivariable logistic regression.</p

Baseline characteristics by 30-day hospital readmission status.

<p>Baseline characteristics by 30-day hospital readmission status.</p

ROC curves of the LACE index and our logistic regression model.

<p>ROC curves of the LACE index and our logistic regression model.</p

Prediction results by the multivariable logistic regression (LR) model using receiver operating characteristic (ROC) analysis.

<p>Prediction results by the multivariable logistic regression (LR) model using receiver operating characteristic (ROC) analysis.</p

Comparison of the calibration plots between our logistic regression model and the LACE index.

<p>The calibration curves were generated using “caret” package in R version 3.2.3 (R Foundation, Vienna, Austria).</p

Study flow chart showing number of included, excluded, and readmitted patients.

<p>Study flow chart showing number of included, excluded, and readmitted patients.</p

Association of low SES and SEDI with characteristics of participants.

<p>OR, Odds ratio; CI, Confidence interval</p><p>*(p<0.05)</p><p>†Adjusted for age, sex, ethnicity, diabetes, hypertension, dyslipidemia, cardiovascular disease, and alcohol and smoking status, SEDI; Socio-economic Disadvantage Index.</p><p>Association of low SES and SEDI with characteristics of participants.</p

Population and Injury Demographics.

<p>Population and Injury Demographics.</p

Survival Curve, Low Falls, Male vs Female.

<p>Survival Curve, Low Falls, Male vs Female.</p

Survival Curve, Male, Low Fall vs High Falls.

<p>Survival Curve, Male, Low Fall vs High Falls.</p