MétaCan
Menu
Back to cohort
Record W2555407253 · doi:10.1001/jamacardio.2016.3591

Trends and Outcomes of Pulmonary Arterial Hypertension–Related Hospitalizations in the United States

2016· article· en· W2555407253 on OpenAlexaff
Vidhu Anand, Samit S. Roy, Stephen L. Archer, Ε. Kenneth Weir, Sushil Kumar Garg, Sue Duval, Thenappan Thenappan

Bibliographic record

VenueJAMA Cardiology · 2016
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsQueen's University
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineCardiogenic shockHeart failureInternal medicineDiabetes mellitusComorbidityKidney diseaseCardiologyCoronary artery diseaseMortality ratePneumoniaPulmonary hypertensionMyocardial infarction

Abstract

fetched live from OpenAlex

IMPORTANCE: Recent trends and outcomes of pulmonary arterial hypertension (PAH)-related hospitalization in adults in the United States are unknown. OBJECTIVE: To examine the characteristics of PAH-related hospitalizations. DESIGN, SETTING, AND PARTICIPANTS: We analyzed the National Inpatient Sample database for all adult patients (≥18 years old) with PAH as the principal discharge diagnosis from January 1, 2001, through December 31, 2012. MAIN OUTCOMES AND MEASURES: We analyzed the temporal trends in hospitalization rate, hospital charges, in-hospital mortality, length of hospitalization, and comorbidities pertaining to PAH-related hospitalizations. We also evaluated the predictors of in-hospital mortality and length of hospitalizations. RESULTS: The number of PAH-related hospitalizations per year in adults decreased significantly from 2001 through 2012 (3177 vs 1345, P for trend <.001). However, the mean hospital charge per admission increased 2.7-fold from 2001 through 2012 ($29 507 vs $79 607, P for trend <.001). There was a significant increase in each of these associated comorbid conditions: diabetes (4.6%-7.8%), hypertension (5.1%-17.1%), coronary artery disease (15.6%-22.3%), chronic obstructive pulmonary disease (14.4%-20.1%), anemia (12.4%-20.4%), cardiac dysrhythmias (21.7%-29.0%), congestive heart failure (40.7%-56.1%), acute (5.9%-20.1%) or chronic kidney disease (1.1%-16.4%), fluid and electrolyte imbalance (18.9%-35.3%), pneumonia (4.4%-6.3%), cardiogenic shock (0.5%-1.5%), and acute respiratory failure (4.3%-20.8%) from 2001 through 2012. The length of hospitalization increased (mean [SE], 7.0 [0.5] days in 2001 vs 7.6 [0.6] days in 2012, P for trend = .009), but in-patient mortality remained unchanged (7.8% [1.1%] in 2001 vs 6.3% [1.7%] in 2012, P for trend = .54). Admission to a teaching hospital (β coefficient for length of hospitalization, 2.0; 95% CI, 1.3-1.6; odds ratio [OR] for mortality, 1.5; 95% CI, 1.1-2.1), cardiac dysrhythmias (β coefficient, 1.8; 95% CI, 1.1-2.6; OR, 1.8; 95% CI, 1.4-2.4), acute kidney injury (β coefficient, 5.0; 95% CI, 3.9-6.1; OR, 2.3; 95% CI, 1.7-3.2), acute cerebrovascular accident (β coefficient, 6.6; 95% CI, 1.9-11.3; OR, 6.7; 95% CI, 2.1-21.1), and acute respiratory failure (β coefficient, 6.2; 95% CI, 5.1-7.4; OR, 5.6; 95% CI, 4.2-7.5) were associated with increased length of hospitalization and in-hospital mortality. Congestive heart failure (OR, 1.7; 95% CI, 1.3-2.2), cardiogenic shock (OR, 5.4; 95% CI, 2.7-10.9), and fluid and electrolyte imbalance (OR, 1.9; 95% CI, 1.5-2.4) were associated with increased in-hospital mortality but not length of hospitalization. CONCLUSIONS AND RELEVANCE: Analyses of temporal changes in PAH care reveal a significant decrease in PAH-related hospitalizations in the United States, but hospital charges have increased substantially and are increasingly being borne by Medicare. In-hospital mortality remains unchanged, but length of hospitalization has increased. This study should help identify the characteristics of patients with PAH that are associated with increased risk of in-hospital mortality and longer length of hospitalization.

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)0.002
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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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

Citations92
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJAMA CardiologySame topicPulmonary Hypertension Research and TreatmentsFrench-language works237,207