Respiratory Manifestations and Their Physical, Psychological, and Social Impacts in Ehlers-Danlos Syndromes and Generalized Hypermobility Spectrum Disorders: A Narrative Review
Bibliographic record
Abstract
Ehlers-Danlos Syndromes (EDS) and Generalized Hypermobility Spectrum disorders (G-HSD) are a group of genetic, connective multi-systemic disorders that can affect the musculoskeletal, gastrointestinal, cardiovascular, and respiratory systems. Respiratory manifestations in EDS/G-HSD can contribute to decrements in health-related quality of life (HRQL); however, these relationships have not been previously characterized. We aimed to review the association of respiratory manifestations with the physical, psychological, and social domains of HRQL in EDS/G-HSD. A comprehensive search was conducted using Ovid Medline, Embase, and CINAHL with the following terms: "Ehlers-Danlos Syndrome", "Hypermobility Spectrum Disorders", and "Quality of Life". Selected studies in English that investigated the relationship between respiratory manifestations and HRQL domains in EDS/G-HSD were included in this narrative review from inception to March 2024. Twelve studies described the physical, psychological, or social domains of HRQL relating to respiratory manifestations. Dyspnea, wheezing, and expiratory flow limitations were associated with limitations in physical function and exercise intolerance. Respiratory manifestations were associated with increased fatigue, pain, anxiety, kinesiophobia, and deconditioning. This review highlights the consequences that respiratory manifestations have on the physical domains of HRQL, through limitations on physical activity and exercise. Future studies should aim to identify the impact that respiratory manifestations have on the psychosocial domains of HRQL and develop disease-specific patient-reported measures to evaluate these relationships.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".