Laryngospasm in amyotrophic lateral sclerosis
Bibliographic record
Abstract
INTRODUCTION: Laryngospasm is an involuntary, sustained closure of sphincter musculature that leads to an unpleasant subjective experience of dyspnea and choking. It is an underreported symptom in amyotrophic lateral sclerosis (ALS). In this study we aimed to better characterize the prevalence and clinical characteristics of laryngospasm in ALS patients. METHODS: The medical records of 571 patients with ALS followed between 2008 and 2018 were searched for evidence of laryngospasm. A total of 23 patients with laryngospasm were identified and the data related to patient and laryngospasm characteristics were extracted. RESULTS: Laryngospasm was reported in 4% of ALS patients. Females comprised 57% of patients and their mean age was 63.4 years. Laryngospasm frequently manifested in patients with moderate bulbar dysfunction and seemed independent of respiratory function. Among laryngospasm patients, 26% were cigarette smokers and 13% had a history of gastroesophageal reflux. The most common reported trigger was excessive saliva irritating the vocal cords (35%) followed by eating a meal (17%). There was significant variation in laryngospasm frequency (up to 5 per hour) and duration (seconds to minutes). Most patients could not identify an effective coping mechanism, although 13% reported that drinking water was effective. DISCUSSION: Despite its low prevalence in ALS, laryngospasm should be included in the symptom inquiry. The present findings may improve patient care through increased recognition of the clinical features of laryngospasm in ALS patients, identifying a link between laryngospasm and moderate bulbar dysfunction, and highlighting trigger avoidance as a management strategy. Additional research is required to understand the pathophysiology and optimal treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".