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Short- and long-term rehospitalization and mortality for heart failure in 4 racial/ethnic populations.

Publication ,  Journal Article
Vivo, RP; Krim, SR; Liang, L; Neely, M; Hernandez, AF; Eapen, ZJ; Peterson, ED; Bhatt, DL; Heidenreich, PA; Yancy, CW; Fonarow, GC
Published in: J Am Heart Assoc
October 16, 2014

BACKGROUND: The degree to which outcomes following hospitalization for acute heart failure (HF) vary by racial and ethnic groups is poorly characterized. We sought to compare 30-day and 1-year rehospitalization and mortality rates for HF among 4 race/ethnic groups. METHODS AND RESULTS: Using the Get With The Guidelines-HF registry linked with Medicare data, we compared 30-day and 1-year outcomes between racial/ethnic groups by using a multivariable Cox proportional hazards model adjusting for clinical, hospital, and socioeconomic status characteristics. We analyzed 47 149 Medicare patients aged ≥65 years who had been discharged for HF between 2005 and 2011: there were 39 213 whites (83.2%), 4946 blacks (10.5%), 2347 Hispanics (5.0%), and 643 Asians/Pacific Islanders (1.4%). Relative to whites, blacks and Hispanics had higher 30-day and 1-year unadjusted readmission rates but lower 30-day and 1-year mortality; Asians had similar 30-day readmission rates but lower 1-year mortality. After risk adjustment, blacks had higher 30-day and 1-year CV readmission than whites but modestly lower short- and long-term mortality; Hispanics had higher 30-day and 1-year readmission rates and similar 1-year mortality than whites, while Asians had similar outcomes. When socioeconomic status data were added to the model, the majority of associations persisted, but the difference in 30-day and 1-year readmission rates between white and Hispanic patients became nonsignificant. CONCLUSIONS: Among Medicare patients hospitalized with HF, short- and long-term readmission rates and mortality differed among the 4 major racial/ethnic populations and persisted even after controlling for clinical, hospital, and socioeconomic status variables.

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Published In

J Am Heart Assoc

DOI

EISSN

2047-9980

Publication Date

October 16, 2014

Volume

3

Issue

5

Start / End Page

e001134

Location

England

Related Subject Headings

  • White People
  • United States
  • Time Factors
  • Survival Analysis
  • Severity of Illness Index
  • Retrospective Studies
  • Registries
  • Proportional Hazards Models
  • Patient Readmission
  • Multivariate Analysis
 

Citation

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Vivo, R. P., Krim, S. R., Liang, L., Neely, M., Hernandez, A. F., Eapen, Z. J., … Fonarow, G. C. (2014). Short- and long-term rehospitalization and mortality for heart failure in 4 racial/ethnic populations. J Am Heart Assoc, 3(5), e001134. https://doi.org/10.1161/JAHA.114.001134
Vivo, Rey P., Selim R. Krim, Li Liang, Megan Neely, Adrian F. Hernandez, Zubin J. Eapen, Eric D. Peterson, et al. “Short- and long-term rehospitalization and mortality for heart failure in 4 racial/ethnic populations.J Am Heart Assoc 3, no. 5 (October 16, 2014): e001134. https://doi.org/10.1161/JAHA.114.001134.
Vivo RP, Krim SR, Liang L, Neely M, Hernandez AF, Eapen ZJ, et al. Short- and long-term rehospitalization and mortality for heart failure in 4 racial/ethnic populations. J Am Heart Assoc. 2014 Oct 16;3(5):e001134.
Vivo, Rey P., et al. “Short- and long-term rehospitalization and mortality for heart failure in 4 racial/ethnic populations.J Am Heart Assoc, vol. 3, no. 5, Oct. 2014, p. e001134. Pubmed, doi:10.1161/JAHA.114.001134.
Vivo RP, Krim SR, Liang L, Neely M, Hernandez AF, Eapen ZJ, Peterson ED, Bhatt DL, Heidenreich PA, Yancy CW, Fonarow GC. Short- and long-term rehospitalization and mortality for heart failure in 4 racial/ethnic populations. J Am Heart Assoc. 2014 Oct 16;3(5):e001134.
Journal cover image

Published In

J Am Heart Assoc

DOI

EISSN

2047-9980

Publication Date

October 16, 2014

Volume

3

Issue

5

Start / End Page

e001134

Location

England

Related Subject Headings

  • White People
  • United States
  • Time Factors
  • Survival Analysis
  • Severity of Illness Index
  • Retrospective Studies
  • Registries
  • Proportional Hazards Models
  • Patient Readmission
  • Multivariate Analysis