Evaluating the burden of pulmonary arterial hypertension from patient reported changes in work patterns: Results from a Canadian patient survey
Bibliographic record
Abstract
Introduction: Patients with pulmonary arterial hypertension (PAH) experience significant disruptions to their quality of life, resulting in major socioeconomic consequences. This study evaluates the frequency of changes to work patterns for PAH patients. Methods: We performed a cross-sectional study of symptomatic adult patients (≥18 years) with self-reported Group 1 PAH, using surveys distributed between 15-08-2023 and 9-10-2023. Burden of disease was described using self-reported New York Heart Association (NYHA) functional class (FC) and the EQ-5D visual analogue scale (VAS). Changes in work patterns were assessed according to FC, age, and sex. Results: 217 patients were included. Most patients were female (84%) and White (84%) with a median age of 60 years (IQR 46, 68). The EQ-5D VAS decreased with increasing FC (I to IV): mean values (SD) were 82.4 (9.6), 66.0 (17.2), 51.5 (17.9), and 42.0 (24.3), respectively. Due to PAH, 61.3% of patients worked fewer hours, with 44.5% converting from full-time to part-time work. Patients <65 years of age experienced more frequent changes to work patterns, while patients ≥65 years more commonly resigned from work or retired early. Figure 1 denotes changes in work pattern by FC. Conclusion: Detrimental changes to work patterns among patients with PAH are commonly reported, highlighting the socioeconomic burden of this disease. erj;64/suppl_68/PA2511/F1 F1 F1
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".