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Record W4406057781 · doi:10.37616/2212-5043.1398

Pediatric pulmonary arterial hypertension; is it possible to predict its outcome?

2025· article· en· W4406057781 on OpenAlexaff
Hala Mounir Agha, Ranya Hegazy, Ahmed Gamal, Antoine Abd Elmessih, Ahmed Behairy, Nagib Dahdah, Ahmed Abdelwahed, Noha Ali

Bibliographic record

VenueJournal of the Saudi Heart Association · 2025
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicinePulmonary hypertensionIntensive care medicineOutcome (game theory)CardiologyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Objectives: To assess the outcome of pediatric pulmonary arterial hypertension (PAH) and to identify the predictors of morbidity and mortality of this progressive disease. Patients and methods: This prospective observational cohort study was conducted on consecutive pediatric patients with PAH. Medical history was taken with a grading of the WHO functional class as well as the serum N-terminal pro-BNP (NT pro-BNP), 6 min' walk test (6MWT), and echocardiography at the initial assessment and at follow-up. Results: The cohort study included 71 patients; 39 patients had idiopathic and heritable PAH, 27 patients had PH secondary to CHD and five patients had miscellaneous causes. Dyspnea was the most common presenting symptom. The mean initial 6MWT distance was 273.3 ± 139.9 m. The median of the initial NT-proBNP level was 1982 pg/ml with IQR from 373.9 to 5472 pg/ml. Death occurred in 17 patients (23.9%) and 16 (22.5%) had evolving morbidity. The predictors of morbidity were NT-proBNP >1032 pg/ml and its Z score > +3.5, WHO functional class 3 and 4, RV failure and low TAPSE. The predictors of mortality were 6MWD ≤210 m, WHO functional class 4, RV failure, syncope, low TAPSE, NT-proBNP >4734 pg/ml and its Z score >4.57. Conclusion: PAH is a serious disease and reliable predictive outcome is feasible by clinical assessment, echocardiographic parameters. NT pro-BNP is a surrogate biomarker for diagnosis and prognosis of PAH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.322
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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