Health‐Related Quality of Life for Adults with Cystic Fibrosis: A Regression Approach to Assessing the Impact of Recombinant Human DNase
Bibliographic record
Abstract
STUDY OBJECTIVES: To examine the general health-related quality of life (HRQOL) of adults with cystic fibrosis (CF) using available generic instruments, and to determine important predictors of change in HRQOL, including therapy with recombinant human Dnase (rhDNase). DESIGN: Prospective, observational study. PATIENTS: Fifty-nine adults with CE. INTERVENTION: The Medical Outcomes Study Short-Form 36 (SF-36) and the EuroQol (EQ-5D) were mailed to patients; follow-up surveys were mailed 1 year later. MEASUREMENTS AND MAIN RESULTS: Multivariate regression analyses assessed the relationships between clinical and demographic variables and change in health status. The 39 respondents reported lower HRQOL scores compared with general population norms for generic instruments. Regression analyses indicated that age (p=0.010), percentage predicted forced expiratory volume in 1 second (p=0.005), hospital admission (p=0.023), and rhDNase therapy (p=0.026) were positively associated 1998 EQ-5D index scores, whereas body mass index was negatively associated (p=0.025) with 1998 EQ-5D index scores after controlling for baseline 1997 scores. The size of the regression coefficients indicated that only 1997 scores and hospital admission in the year were quantitatively importantly associated with 1998 scores. Baseline HRQOL assessments showed that adults with CF reported important decrements in health status and functioning. An interesting relationship between functional status and total household income was observed. CONCLUSION: Although a statistically significant association between rhDNase and 1-year change in HRQOL was found on multivariate regression analysis, the magnitude of this relationship may not be clinically important.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".