Multicenter study on predictors of rehabilitation outcome and home discharge in people with non-traumatic spinal cord injuries.

Background: Non-traumatic spinal cord injuries (NTSCI) represent an increasing public health concern, particularly in aging populations, yet there is limited literature on rehabilitation outcomes and key predictors of home discharge in this population.

Aim: This study evaluates the impact of demographic and clinical characteristics on rehabilitation outcomes and home discharge rates in individuals with NTSCI.

Design: Prospective observational cohort study.

Setting: Thirty-one specialized SCI centers in 13 Italian regions.

Population: Individuals with NTSCI.

Methods: Demographic and clinical characteristics of 394 rehabilitation were recorded at admission (T1) and discharge (T2). The American Spinal Injury Association (ASIA) Scale and Spinal Cord Independence Measure (SCIM) were used to assess motor function and functional independence. Binary logistic regression was employed to develop a predictive model for home discharge, incorporating categorical and continuous variables. Two common metrics for this purpose are the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). Predictive factors for home discharge were analyzed using logistic regression and ROC curves.

Results: 80% of participants were discharged home. Key predictors of home discharge included higher SCIM scores, younger age, and being married. The SCIM score at discharge was a stronger predictor of home discharge than at admission. Length of stay (LOS) was also a significant factor, with longer stays associated with better functional outcomes, particularly in individuals with severe impairments.

Conclusions: SCIM scores at discharge, age, and marital status emerged as key predictors of home discharge, highlighting the importance of personalized rehabilitation strategies and structured discharge planning. Tailoring rehabilitation programs to maximize SCIM score improvements may enhance home discharge rates and long-term patient outcomes.

Clinical rehabilitation impact: This study emphasizes the importance of continuous functional assessment using SCIM during rehabilitation, allowing clinicians to optimize treatment plans and improve home discharge likelihood. Additionally, considering demographic factors such as age and marital status in discharge planning may facilitate better reintegration into home environments. Longer rehabilitation stays for individuals with more severe injuries (ASIA A/B) can significantly enhance outcomes. By incorporating these predictors into everyday practice, rehabilitation clinics can better optimize patient care, increase home discharge rates, and improve overall quality of life post-rehabilitation.