Predicting Survival in Pulmonary Arterial Hypertension
Baylor College of Medicine · University of Utah · +7 more institutions
Abstract
Factors that determine survival in pulmonary arterial hypertension (PAH) drive clinical management. A quantitative survival prediction tool has not been established for research or clinical use. METHODS AND RESULTS: Data from 2716 patients with PAH enrolled consecutively in the US Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) were analyzed to assess predictors of 1-year survival. We identified independent prognosticators of survival and derived a multivariable, weighted risk formula for clinical use. One-year survival from the date of enrollment was 91.0% (95% confidence interval [CI], 89.9 to 92.1). In a multivariable analysis with Cox proportional hazards, variables independently associated with increased mortality included pulmonary vascular resistance >32 Wood units (hazard ratio [HR], 4.1; 95% CI, 2.0 to 8.3), PAH associated with portal hypertension (HR, 3.6; 95% CI, 2.4 to 5.4), modified New York Heart Association/World Health Organization functional class IV (HR, 3.1; 95% CI, 2.2 to 4.4), men >60 years of age (HR, 2.2; 95% CI, 1.6 to 3.0), and family history of PAH (HR, 2.2; 95% CI, 1.2 to 4.0). Renal insufficiency, PAH associated with connective tissue disease, functional class III, mean right atrial pressure, resting systolic blood pressure and heart rate, 6-minute walk distance, brain natriuretic peptide, percent predicted carbon monoxide diffusing capacity, and pericardial effusion on echocardiogram all predicted mortality. Based on these multivariable analyses, a prognostic equation was derived and validated by bootstrapping technique.
We identified key predictors of survival based on the patient's most recent evaluation and formulated a contemporary prognostic equation. Use of this tool may allow the individualization and optimization of therapeutic strategies. Serial follow-up and reassessment are warranted. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT00370214.
Citation impact
- FWCI
- 80.89
- Percentile
- 100%
- References
- 27
Authors
12- RLRaymond L. BenzaCorresponding
Baylor College of Medicine, University of Utah, Allegheny General Hospital, WinnMed, Intermountain Medical Center, University of Alabama at Birmingham, University of Chicago Medical Center, Columbia University, University of Colorado Denver
- DPDave P. Miller
Baylor College of Medicine, University of Utah, Allegheny General Hospital, WinnMed, Intermountain Medical Center, University of Alabama at Birmingham, University of Chicago Medical Center, Columbia University, University of Colorado Denver
- MGMardi Gomberg‐Maitland
Baylor College of Medicine, University of Utah, Allegheny General Hospital, WinnMed, Intermountain Medical Center, University of Alabama at Birmingham, University of Chicago Medical Center, Columbia University, University of Colorado Denver
- RPRobert P. Frantz
Baylor College of Medicine, University of Utah, Allegheny General Hospital, WinnMed, Intermountain Medical Center, University of Alabama at Birmingham, University of Chicago Medical Center, Columbia University, University of Colorado Denver
- AJAimee J. Foreman
Baylor College of Medicine, University of Utah, Allegheny General Hospital, WinnMed, Intermountain Medical Center, University of Alabama at Birmingham, University of Chicago Medical Center, Columbia University, University of Colorado Denver
Topics & keywords
- Medicine
- Internal medicine
- Hazard ratio
- Cardiology
- Confidence interval
- Proportional hazards model
- Blood pressure
- Pulmonary hypertension
- Good health and well-being