Real-World Treatment Patterns Among Patients with Connective Tissue Disorder-Related Pulmonary Arterial Hypertension in the United States: A Retrospective Claims-Based Analysis
Bibliographic record
Abstract
INTRODUCTION: Connective tissue disorders (CTDs) are the most frequent diseases associated with pulmonary arterial hypertension (PAH). Despite advances in treatment, the prognosis of CTD-related PAH remains poor. To help identify areas for improvement in the management of CTD-related PAH, this study assessed real-world PAH treatment patterns in this population in the US. METHODS: Data Mart Database (10/01/2015-09/30/2021) and categorized into mutually exclusive cohorts (CTD + PAH; PAH) based on the presence of CTD diagnosis claims. Treatment patterns were assessed from the index date to the earliest of death or end of continuous insurance eligibility, or data availability. Treatment persistence was assessed using Kaplan-Meier analysis. RESULTS: A total of 4751 patients were included (CTD + PAH: n = 728, mean follow-up of 18.8 months; PAH: n = 4023, mean follow-up of 19.6 months). For both cohorts, the most common first treatment regimens were sildenafil (CTD + PAH: 38.7%; PAH: 51.5%), tadalafil (10.0%; 9.4%), and macitentan (8.1%; 5.4%) monotherapy; these were also the most frequent agents included in any of the first 3 treatment regimens. Combination therapy was more frequent in the CTD + PAH versus PAH cohort (any regimen: 40.9% vs. 27.2%; 1st treatment regimen: 26.9% vs. 18.5%; 2nd: 52.8% vs. 42.0%; 3rd: 55.2% vs. 48.5%). Treatment persistence was similar across cohorts and the first three treatment regimens, with persistence rates ranging from 42.6 to 49.7% at 12 months. CONCLUSIONS: Treatment patterns were generally similar between the CTD + PAH and PAH cohorts, although combination therapy was more frequent in the CTD + PAH cohort. Both cohorts may benefit from broader use of all available PAH treatment classes, including combination therapy. Considering the life-threatening nature of PAH, our findings also highlight the need to address the low persistence rates with PAH therapies regardless of etiology.
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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 | 0.001 | 0.004 |
| 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".