Effect of Levodopa on Heat Hypersensitivity and Complex Motor Parkinsonism
Bibliographic record
Abstract
OBJECTIVES: The aim of the study is to report a case with heat intolerance, complex motor fluctuations, and parkinsonism. MATERIALS AND METHODS: A male with onset of heat intolerance at the age of 46 years developed left upper limb tremor at the age of 58 years. He was diagnosed with Parkinson disease at the age of 62 years and presented to Movement Disorders Clinic Saskatchewan at the age of 65 years. He reported motor response fluctuations, including WO and dyskinesias. There was no history of dizziness on standing, bladder, or sexual dysfunction. We recorded an asymptomatic drop of orthostatic blood pressure. He reported loss of smell sensation for 5 years and REM behavior disorder characterized by talking in his sleep. He was assessed at the age of 65 years over the course of a day with 4 video recordings of his evolving findings and symptoms with his informed consent. RESULTS: Initial assessment after levodopa was withheld more than 14 hours revealed him to be 'off' with severe dystonic neck flexion and with bradykinesia and rigidity in the limbs. He was anhidrotic, felt hot, and needed a wet towel over his neck. Over the course of 4 hours, he turns "on" with improvement in heat intolerance, neck hypertonicity, and parkinsonian findings and develops evolving dyskinetic movements before turning "off" again. His overall clinical picture was most consistent with multiple system atrophy. CONCLUSIONS: Heat intolerance can precede onset of motor symptoms of parkinsonism by several years and supports a diagnosis of multiple system atrophy. To our knowledge, this is the first documented case of improvement in heat intolerance with levodopa.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| 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".