RESUMO
PURPOSE: to investigate the effectiveness of a 4-week combined progressive program on functional abilities, disability status and quality of life (QoL) in COVID-19 recovered patients. MATERIALS & METHODS: 18 COVID-19 recovered patients performed a combined rehabilitation treatment accounting for 12 sessions, including both respiratory and motor training sessions. A careful monitoring of exercise intensity, duration and progression to tailor complexity evolution on patients' competencies was carried out. Patients were monitored with different functional scales and self-reported questionnaires before (T0) and after (T1) rehabilitation. RESULTS: 6-Minutes Walk Test, Timed Up and Go Test and Short Physical Performance Battery significantly improved, while Physiological Cost Index presented a significant reduction after rehabilitation. Moreover, Barthel Index significantly improved and patients presented significantly increased upper and lower limbs strength at T1. Furthermore, mMRC Dyspnoea Scale presented a significant reduction after training. Finally, physical and psychological well-being scales improved according to Short-Form 36; while, self-reported questionnaires related to mood and depression showed no significant modification after rehabilitation. CONCLUSIONS: results evidenced the efficacy of the combined progressive intervention in COVID-19 recovered patients. The specific customization on patients' needs and the careful exercise monitoring promoted improvements on functional abilities and disability status, with positive impact on QoL.
Post-acute COVID-19 patients could require an adequate respiratory and neuromotor rehabilitation plan.Rehabilitative intervention should include a combined progressive training program.A 4-week progressive combined intervention seems effective in COVID-19 recovered patients.The specific customization on patients' needs and the careful exercise monitoring promotes improvements on functional abilities and disability status and patients' quality of life.
RESUMO
Background: Due to continuous advances in intensive care technology and neurosurgical procedures, the number of survivors from severe acquired brain injuries (sABIs) has increased considerably, raising several delicate ethical issues. The heterogeneity and complex nature of the neurological damage of sABIs make the detection of predictive factors of a better outcome very challenging. Identifying the profile of those patients with better prospects of recovery will facilitate clinical and family choices and allow to personalize rehabilitation. This paper describes a multicenter prospective study protocol, to investigate outcomes and baseline predictors or biomarkers of functional recovery, on a large Italian cohort of sABI survivors undergoing postacute rehabilitation. Methods: All patients with a diagnosis of sABI admitted to four intensive rehabilitation units (IRUs) within 4 months from the acute event, aged above 18, and providing informed consent, will be enrolled. No additional exclusion criteria will be considered. Measures will be taken at admission (T0), at three (T1) and 6 months (T2) from T0, and follow-up at 12 and 24 months from onset, including clinical and functional data, neurophysiological results, and analysis of neurogenetic biomarkers. Statistics: Advanced machine learning algorithms will be cross validated to achieve data-driven prediction models. To assess the clinical applicability of the solutions obtained, the prediction of recovery milestones will be compared to the evaluation of a multiprofessional, interdisciplinary rehabilitation team, performed within 2 weeks from admission. Discussion: Identifying the profiles of patients with a favorable prognosis would allow customization of rehabilitation strategies, to provide accurate information to the caregivers and, possibly, to optimize rehabilitation outcomes. Conclusions: The application and validation of machine learning algorithms on a comprehensive pool of clinical, genetic, and neurophysiological data can pave the way toward the implementation of tools in support of the clinical prognosis for the rehabilitation pathways of patients after sABI.