Predicting Low and Non-Responders and Outliers in Patients with Spinal Cord Injury
Giorgio Scivoletto, Emanuela Lena, Laura Barrucci, Valeria Di Pasquale, Simone Tiberti, Serena Vincenza Capobianco, Calogero Foti, Luisa Maria Lapenna, Stefano Filippo Castiglia, Federica Tamburella · 2026
Read Predicting Low and Non-Responders and Outliers in Patients with Spinal Cord Injury by Giorgio Scivoletto, Emanuela Lena, Laura Barrucci, Valeria Di Pasquale, Simone Tiberti, Serena Vincenza Capobianco, Calogero Foti, Luisa Maria Lapenna, Stefano Filippo Castiglia, Federica Tamburella (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13257878.txt.
Description
Giorgio Scivoletto and colleagues hunt predictors of rehabilitation response after spinal cord injury in a 2026 chart review. More than a thousand patients admitted since 1997 were scored for independence and walking gains, stay length, and discharge home. Statistical models searched for factors tied to standout or poor response.
Complications at admission and during rehabilitation consistently cut the odds of top independence and walking gains. Older age and later admission year also lowered top-response chances for independence. Long stays were predicted by age, delay before admission, and complications. Most patients went home, while nursing placement linked to recent years, traumatic cause, and lower discharge independence. Rehab planners gain triage insight: preventing complications is the strongest lever for both outcome and stay, a point families can act on through early vigilance.
Catalog record
| CREATOR | Giorgio Scivoletto, Emanuela Lena, Laura Barrucci, Valeria Di Pasquale, Simone Tiberti, Serena Vincenza Capobianco, Calogero Foti, Luisa Maria Lapenna, Stefano Filippo Castiglia, Federica Tamburella |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |