Abstract 12480: Characterization of Symptoms and Diagnostic Procedures Prior to Diagnosis Among Patients With Pulmonary Arterial Hypertension in the United States
Bibliographic record
Abstract
Introduction: Pulmonary arterial hypertension (PAH) is a progressive, fatal disease associated with non-specific symptoms, which may lead to diagnosis delays and poor outcomes. Research Question: Which symptoms and diagnostic procedures occur prior to PAH diagnosis and do they vary based on diagnosis delay? Aim: To describe PAH symptoms and diagnostic procedures among patients newly diagnosed with PAH. Methods: Adults with PAH were identified from Optum’s de-identified Clinformatics ® Data Mart Database (2016-2021). Eligible patients had continuous health plan enrollment ≥12 months (mo) before the first recorded PAH-related symptoms (i.e., index date ) and from the index date until the first recorded PAH diagnosis on a medical claim (i.e., study period ). Patients also had ≥1 fill for a PAH treatment and ≥1 right heart catheterization at any time post-index. PAH symptoms and diagnostic procedures were described during the study period, overall, and stratified by time between the index date and first PAH diagnosis (i.e., diagnosis delay ; ≤12 mo, 12–24 mo, and >24 mo). Results: The sample included 538 patients (≤12 mo: N=327; 12–24 mo: N=126; >24 mo: N=85). Mean age was 66 years, 60.6% were female, and mean (range) diagnosis delay was 11.8 (0.0–50.2) mo. During the study period, most patients had ≥2 unique symptoms recorded, but those with longer delay had more fatigue (≤12 mo: 26.6%; 12–24 mo: 55.6%; >24 mo: 54.1%), edema (29.1%; 42.9%; 51.8%), and dizziness (10.1%; 23.0%; 18.8%), among others. Mean delay was shorter when the first symptoms were ascites (4.2 mo) and syncope (6.4 mo) and longer for fatigue (14.2 mo) and dizziness (14.0 mo). On average, patients with longer delay had more diagnostic procedures pre-diagnosis (≤12 mo: 4.3; 12–24 mo: 8.2; >24 mo: 8.7), driven by more electrocardiograms (ECG; 1.9; 4.2; 4.5). Overall, 85.5% of patients had an ECG and 83.5% had a transthoracic echocardiography pre-diagnosis. Conclusions: Symptoms such as fatigue, edema, and dizziness were more common in patients with longer time to diagnosis and these patients had more diagnostic procedures. Greater physician awareness and new screening tools (e.g., predictive algorithms using ECG data) could accelerate PAH diagnosis and treatment aiming at improving patient outcomes.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".