Treatment of Pulmonary Hypertension in Patients with Connective Tissue Disease and Interstitial Lung Disease
Bibliographic record
Abstract
BACKGROUND: Pulmonary hypertension (PH) in patients with connective tissue disease (CTD) can occur in isolation or concomitantly with interstitial lung disease (ILD). Targeted therapies for PH can mitigate clinical deterioration in CTD patients with isolated PH; however, the effect of these therapies in CTD patients with PH and ILD (CTD-PH-ILD) are poorly characterized. OBJECTIVE: To investigate outcomes following long-term treatment of PH in patients with CTD-PH-ILD. METHODS: A retrospective evaluation of 13 CTD-PH-ILD patients who were treated with bosentan, sildenafil or bosentan plus sildenafil, was conducted. Immunosuppressants were prescribed as indicated. Patients underwent pulmonary function testing and assessment of 6 min walk distance at the time of treatment initiation and during follow-up. Patients were followed until time of death, lung transplantation or the end of the study. Kaplan-Meier estimates of survival were calculated and log-rank testing was used to analyze survival differences according to CTD subtype. RESULTS: Thirteen patients (seven with systemic sclerosis [SSc], four with overlap syndrome, and two with rheumatoid arthritis) were followed for a mean (± SD) duration of 33.8±21.7 months. The survival estimate at a median duration of 34 months was 85%; two patients with SSc died. Mortality rates were greater among patients with SSc versus other CTD subtypes (P=0.04). No changes from baseline to follow-up in mean forced vital capacity or exercise capacity, and no treatment-related toxicity, were observed. CONCLUSION: Treatment using PH-specific therapies in patients with CTD, PH and ILD was well tolerated. Further studies to investigate the efficacy of PH-specific therapies in CTD-PH-ILD patients are warranted.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".