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Abstract 12480: Characterization of Symptoms and Diagnostic Procedures Prior to Diagnosis Among Patients With Pulmonary Arterial Hypertension in the United States

2023· article· en· W4389953268 on OpenAlexaff
Hilary M. DuBrock, Hayley D. Germack, Marjolaine Gauthier‐Loiselle, Jörg Linder, Ambika Satija, Ameur M. Manceur, Martin Cloutier, Patrick Lefèbvre, Sumeet Panjabi, Robert P. Frantz

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsMedicineRight heart catheterizationInternal medicinePediatricsPulmonary hypertensionSurgery

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.245
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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