Meaningful and feasible composite clinical worsening definitions in paediatric pulmonary arterial hypertension: An analysis of the TOPP registry
Bibliographic record
Abstract
BACKGROUND: Composite clinical worsening (cCW) outcomes might allow measurement of disease progression in paediatric pulmonary arterial hypertension (PAH). This TOPP registry analysis investigated three cCW outcomes and their predictive strength for lung transplantation/death. METHODS: Patients ≤17 years with idiopathic/familial PAH or PAH-associated congenital heart disease diagnosed ≤3 months before enrolment were included. cCW outcomes included the following variables at enrolment and/or follow-up: all-cause death, PAH-related hospitalisation, lung transplantation, atrial septostomy (cCW1, 2 and 3), WHO FC deterioration, intravenous/subcutaneous prostanoids initiation, syncope (cCW2,3) and occurrence/worsening of ≥2 PAH symptoms (cCW3). The predictive value of CW (excluding transplantation and death) to transplantation or death was assessed. Predictive values of each cCW for lung transplantation/death were analysed by Cox proportional hazards models. RESULTS: From 255 patients, first-event rate/100 person-years (95% CI) were cCW1: 23.1(19.3,27.6), cCW2: 43.6(37.6,50.6), and cCW3: 46.3(40.0,53.7) with PAH-related hospitalisation as the most frequent first event in each. The cCW definitions comprised from endpoints (excluding transplantation and death), were associated with higher risk [hazard ratio (95% CI)] for lung transplantation/death [4.23(2.27,7.91), 3.25(1.65,6.39), 2.74(1.41,5.34), respectively]; individual parameters with higher risks were WHO FC deterioration [3.49(1.47,8.29)], PAH-related hospitalisation [2.62(1.32,5.20)] and occurrence/worsening of ≥2 PAH symptoms [2.13(1.02,4.45)]. CONCLUSIONS: These data support the use of cCW outcomes in paediatric PAH research. WHO FC deterioration, PAH-related hospitalisation, occurrence/worsening of ≥2 PAH symptoms may be important for risk assessment during clinical management.
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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 | 0.012 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".