Personalized adapted locomotor training for an individual with sequelae of West Nile virus infection: a mixed-method case report
Bibliographic record
Abstract
Background West Nile virus (WNV) can have severe consequences, including encephalitis and paralysis. Purpose: To describe the benefits of intensive locomotor training (LT) for an individual with a previous WNV infection resulting in chronic paraplegia. Case Description: The patient, who became a wheelchair user following standard rehabilitation, began LT 3 years post infection. Her goals included standing and walking with an assistive device and transferring independently. The intervention consisted of bodyweight-supported treadmill training and overground training, which involved walking, balancing, strengthening, and transferring activities. Outcomes: Following 5 months of LT, the patient ambulated independently with a walker at a speed = 0.34m/s. She walked 110.1 metres in 6 minutes and increased her Berg Balance Scale score by 17 points. These improvements were either maintained or further increased 3 months post LT. The patient’s perspectives on LT were collected through a semi-structured interview. A conventional content analysis, which uses data to drive themes, revealed three themes: (1) recalibrating goals, (2) outcomes (i.e. physical and psychological benefits, such as a sense of accomplishment), and (3) challenges of LT and effective coping strategies. Conclusions: The patient demonstrated improved balance and walking abilities. Intensive LT was feasible and effective for this individual with chronic paraplegia due to WNV infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".