Predicting Survival in Pulmonary Arterial Hypertension

Raymond L. Benza(Baylor College of Medicine), Dave P. Miller(Baylor College of Medicine), Mardi Gomberg‐Maitland(Baylor College of Medicine), Robert P. Frantz(Baylor College of Medicine), Aimee J. Foreman(Baylor College of Medicine), Christopher S. Coffey(Baylor College of Medicine), Adaani Frost(Baylor College of Medicine), Robyn J. Barst(Baylor College of Medicine), David B. Badesch(Baylor College of Medicine), C. Gregory Elliott(Baylor College of Medicine), Theodore G. Liou(Baylor College of Medicine), Michael D. McGoon(Baylor College of Medicine)
Circulation
June 29, 2010
Cited by 1,549Open Access
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Abstract

BACKGROUND: 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. CONCLUSIONS: 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.


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