Long-term survival outcome for pre-capillary pulmonary hypertension at a Japanese single center
Bibliographic record
Abstract
In recent years, several treatment options for patients with pre-capillary pulmonary hypertension (PH) have improved the short-term prognosis. However, the long-term survival for pre-capillary PH has not been well investigated. This study sought to investigate the long-term survival for pre-capillary PH in Kurume University Hospital. A total of 144 patients with pre-capillary PH (110 women, mean age 55.1 ± 17.9 years) were enrolled. The maximal duration of followup was 15 years with a mean followup of 5.77 years. The 15 year survival was 59.1% for pre-capillary PH, 68.5% for pulmonary arterial hypertension (PAH), and 44.3% for chronic thromboembolic PH. The 5 year survival was 50.9% for PH due to lung disease (PH-LD), indicating the worst in the pre-capillary PH subgroups. The survival for portopulmonary hypertension was the lowest among PAH groups, and PAH associated with connective tissue disease and congenital heart disease decreased 10 years after diagnosis. A 6 min walk distance and elevated brain natriuretic peptide were significantly associated with survival outcome in pre-capillary PH patients and diastolic pulmonary arterial pressure was related to survival for PH-LD. The survivals were different among pre-capillary PH groups in our hospital. Above all, the long-term survival was better than in previous reports.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".