Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach.

Autor: Santilli G; Physical Medicine and Rehabilitation Unit, Sant'Andrea Hospital, Sapienza University of Rome, 00189 Rome, Italy., Mangone M; Department of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University, 00185 Rome, Italy., Agostini F; Department of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University, 00185 Rome, Italy., Paoloni M; Department of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University, 00185 Rome, Italy., Bernetti A; Department of Biological and Environmental Science and Technologies, University of Salento, 73100 Lecce, Italy., Diko A; Department of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University, 00185 Rome, Italy., Tognolo L; Department of Neuroscience, Section of Rehabilitation, University of Padua, 35122 Padua, Italy., Coraci D; Department of Neuroscience, Section of Rehabilitation, University of Padua, 35122 Padua, Italy., Vigevano F; Neurorehabilitation Department, IRCCS San Raffaele, 00163 Rome, Italy.; Neurological Sciences and Rehabilitation Medicine Scientific Area, Bambino Gesù Children's Hospital, 00165 Rome, Italy., Vetrano M; Physical Medicine and Rehabilitation Unit, Sant'Andrea Hospital, Sapienza University of Rome, 00189 Rome, Italy., Vulpiani MC; Physical Medicine and Rehabilitation Unit, Sant'Andrea Hospital, Sapienza University of Rome, 00189 Rome, Italy., Fiore P; Neurorehabilitation Unit, Istituti Clinici Scientifici Maugeri IRCCS, 70124 Bari, Italy., Gimigliano F; Department of Physical and Mental Health and Preventive Medicine, University of Campania 'Luigi Vanvitelli', 80100 Naples, Italy.
Jazyk: angličtina
Zdroj: Journal of functional morphology and kinesiology [J Funct Morphol Kinesiol] 2024 Sep 26; Vol. 9 (4). Date of Electronic Publication: 2024 Sep 26.
DOI: 10.3390/jfmk9040176
Abstrakt: Background: Over one billion people worldwide suffer from neurological conditions that cause mobility impairments, often persisting despite rehabilitation. Chronic neurological disease (CND) patients who lack access to continuous rehabilitation face gradual functional decline. The International Classification of Functioning, Disability, and Health (ICF) provides a comprehensive framework for assessing these patients. Objective: This study aims to evaluate the outcomes of a non-hospitalized neuromotor rehabilitation project for CND patients in Italy using the Barthel Index (BI) as the primary outcome measure. The rehabilitation was administered through an Individual Rehabilitation Plan (IRP), tailored by a multidisciplinary team and coordinated by a physiatrist. The IRP involved an initial comprehensive assessment, individualized therapy administered five days a week, and continuous adjustments based on patient progress. The secondary objectives include assessing mental status and sensory and communication functions, and identifying predictive factors for BI improvement using an artificial neural network (ANN). Methods: A retrospective observational study of 128 CND patients undergoing a rehabilitation program between 2018 and 2023 was conducted. Variables included demographic data, clinical assessments (BI, SPMSQ, and SVaMAsc), and ICF codes. Data were analyzed using descriptive statistics, linear regressions, and ANN to identify predictors of BI improvement. Results: Significant improvements in the mean BI score were observed from admission (40.28 ± 29.08) to discharge (42.53 ± 30.02, p < 0.001). Patients with severe mobility issues showed the most difficulty in transfers and walking, as indicated by the ICF E codes. Females, especially older women, experienced more cognitive decline, affecting rehabilitation outcomes. ANN achieved 86.4% accuracy in predicting BI improvement, with key factors including ICF mobility codes and the number of past rehabilitation projects. Conclusions: The ICF mobility codes are strong predictors of BI improvement in CND patients. More rehabilitation sessions and targeted support, especially for elderly women and patients with lower initial BI scores, can enhance outcomes and reduce complications. Continuous rehabilitation is essential for maintaining progress in CND patients.
Databáze: MEDLINE