Symptoms of Autonomic Dysfunction in Systemic Sclerosis Assessed by the COMPASS-31 Questionnaire
Bibliographic record
Abstract
OBJECTIVE: Autonomic dysfunction is a known complication of systemic sclerosis (SSc) that can affect vascular tone, gastrointestinal (GI) motility, heart rate, and blood pressure control. We sought to quantify autonomic symptom burden in SSc, and to define the characteristics of patients with SSc and autonomic dysfunction. METHODS: Patients with SSc were consecutively recruited during routine clinical visits at the Johns Hopkins Scleroderma Center and asked to complete the Composite Autonomic Symptom Score (COMPASS)-31 questionnaire, a validated tool to assess symptoms of autonomic dysfunction. We determined the relationship between various clinical and serological features of SSc and the total COMPASS-31 scores and domain-specific scores using the Student t test or Wilcoxon rank-sum test for dichotomous variables and linear regression analysis for continuous variables. RESULTS: The study included 104 patients with SSc who completed the COMPASS-31 questionnaire. The mean COMPASS-31 score in this cohort was 24.9 ± 15.5, higher than COMPASS-31 scores from previously published healthy controls (8.9 ± 8.7). Compared to patients with mild or absent GI disease, patients with significant GI disease had higher scores across several subdomains of the COMPASS-31, including orthostatic intolerance (median 10.0 vs 0, p = 0.006) and secretomotor dysfunction (median 6.4 vs 4.3, p = 0.03). There was also a dose-response relationship between GI disease severity and autonomic symptom burden. CONCLUSION: Symptoms of autonomic dysfunction are common in SSc. Patients with more severe GI disease in SSc report more symptoms of dysautonomia across many facets of the autonomic nervous system.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".