Occupational and Physical Therapy Strategies for the Rehabilitation of COVID-19-Related Guillain-Barré Syndrome in the Long-term Acute Care Hospital Setting: Case Report
Bibliographic record
Abstract
BACKGROUND: Although several reports have described the diagnosis and treatment of patients with COVID-19-associated Guillain-Barré syndrome (GBS), there is a paucity of literature describing the occupational and physical therapy (OT and PT) strategies used in the long-term acute care hospital (LTACH) setting to rehabilitate these patients. OBJECTIVE: To expand this body of literature, we present a case report highlighting the treatment strategies used to rehabilitate and discharge an individual from an independent LTACH facility, following diagnosis and treatment of COVID-19-related GBS at a regional ACH. METHODS: A 61-year-old male was admitted to an LTACH for the rehabilitation of GBS following COVID-19 infection and intravenous immunoglobulin treatment. Rehabilitation in the LTACH setting uses a variety of skilled treatment interventions to meet patient-driven goals and maximize their function to the highest level possible in preparation of their discharge to a subacute or homecare setting. In this case, this was accomplished through individual OT and PT sessions, OT/PT cotreatment sessions, and targeted group therapy sessions focused on leg, arm, and fine motor coordination exercises. RESULTS: With the OT and PT standard of care, the patient's improvement was demonstrated by several outcome measures, including manual muscle testing, range of motion, grip strength, and the activity measure for postacute care. The patient was successfully rehabilitated and returned to the community after presenting with COVID-19-associated GBS. CONCLUSIONS: This report highlights the complex rehabilitation needs patients require to regain independence after diagnosis of COVID-19-associated GBS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".