Patient perception and provider assessment of severity of heart failure as predictors of hospitalization

Usha Subramanian, Michael Weiner, Irmina Gradus-Pizlo, Jingwei Wu, Wanzhu Tu, Michael D. Murray

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

OBJECTIVE: To assess the agreement between 2 methods of assigning New York Heart Association (NYHA) functional class to patients with chronic heart failure (CHF): deriving NYHA class from self-report interview data versus clinician assignment. To then determine the ability of each method to predict all-cause hospitalization. METHODS: Adults with CHF ≥ 50 years old from an urban health system in Indianapolis, Indiana, were administered the Kansas City Cardiomyopathy Questionnaire (a validated CHF symptom questionnaire) at baseline. Patient self-reported functional data were then used to derive NYHA class. Clinical providers who were blinded to patients' questionnaire data independently assessed NYHA functional class. We used a weighted κ statistic to evaluate the agreement between the NYHA class from patient-derived and that from provider-assigned methods. We then assessed the ability of patient and provider NYHA to predict time to hospitalization using Cox proportional hazards models. RESULTS: Of 156 patients with complete 6-month follow-up (mean age 63 years ± 9 SD, 53% African American, and 68% women), the correlation coefficient was 0.43 between the patient-derived and provider-assigned NYHA methods. The weighted κ statistic was 0.278, and the 95% confidence interval was 0.18 to 0.37, indicating only slight agreement. Patients classified themselves in worse categories than did their providers. Provider-assigned NYHA was a better predictor of hospitalization (P = .06). CONCLUSIONS: There is only slight agreement between patient-derived and clinician-assigned NYHA functional class. A different approach with patients may be needed if providers hope to use patients' reports to identify those at risk for hospitalization.

Original languageEnglish (US)
Pages (from-to)89-98
Number of pages10
JournalHeart and Lung: Journal of Acute and Critical Care
Volume34
Issue number2
DOIs
StatePublished - Jan 1 2005

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine
  • Cardiology and Cardiovascular Medicine

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