Postural orthostatic tachycardia syndrome is associated with significant employment and economic loss
Bibliographic record
Abstract
BACKGROUND: Postural orthostatic tachycardia syndrome (POTS) is a debilitating form of chronic orthostatic intolerance that primarily affects women and causes substantial impairment in quality of life and function. Yet, there is minimal literature describing the employment and economic consequences of POTS. We explored these aspects of the POTS patient experience through a self-reported study designed using community-based participatory research principles. METHODS AND RESULTS: A comprehensive questionnaire, including employment and economic consequences, was developed in partnership with Dysautonomia International, a patient advocacy organization. The POTS community engaged in all stages of the research design and analysis. Participants were recruited through Dysautonomia International's website and social media channels. The analysis included 5,556 adult (age ≥18 years) participants with a physician-confirmed diagnosis of POTS. The majority of participants were female (95%). Forty-eight per cent of participants reported employment during the three months prior to the survey, and of these participants, 66.8% would work greater hours if not for illness limitations. Over two-thirds (70.5%) of participants have lost income due to POTS symptoms, with 36.0% of the total cohort losing more than $10,000 USD in the 12 months prior to the survey. Almost all (95%) participants reported POTS-related out-of-pocket medical expenses since diagnosis, with 51.1% of participants spending $10,000 USD or more. CONCLUSIONS: This is the largest study reporting the employment and economic challenges experienced by individuals with POTS. Exposure of these challenges emphasizes the need for earlier diagnosis and improved therapeutic strategies to reduce the negative individual and societal consequences of this disorder.
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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 | 0.003 |
| 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".