Health-related quality of life in children and young adults with post-thrombotic syndrome: Results from a cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: While post-thrombotic syndrome (PTS) is increasingly recognized in children with a history of deep vein thrombosis (DVT), its impact on the health-related quality of life (HRQoL) is unknown. Our objective was to evaluate the association between the PTS and HRQoL by surveying a cohort of patients treated at our institution for DVT. MATERIALS/METHODS: All unique pediatric patients (0-18 years) treated for a DVT at the Mayo Clinic during the 15-year period, 1995-2009 were identified. A previously validated PTS survey instrument and age appropriate Pediatric Quality of Life inventory, version 4 (PedsQL 4.0) were mailed to eligible patients. Linear regression models were fit to compare the HRQoL scores between PTS groups (none, mild, moderate/severe), after adjusting for the presence of potential covariates. RESULTS: Of the 90 respondents, 65 (72%) reported signs and/or symptoms of PTS. Mean age (± SD) at DVT diagnosis and survey completion were 12.8 (± 6.1) and 19.3 (± 7.7) years, respectively. Self-report PedsQL 4.0 module was completed by 79 patients, and 34 guardians completed the parent-proxy module. Patients with moderate to severe PTS reported significantly worse total HRQoL score (mean ± SD, 71.3 ± 13.4) as compared to patients with mild PTS (84.8 ± 14.2) and no PTS (83.4 ± 14) (P = 0.001). CONCLUSION: Moderate to severe PTS has a significant impact on self-reported HRQoL as measured using the generic PedsQL 4.0. Further research is warranted to develop a venous disease-specific quality of life measure for children with a history of DVT.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".