European Journal of Epidemiology

, Volume 13, Issue 5, pp 491–502

Classification of heart failure in population based research: An assessment of six heart failure scores

  • Arend Mosaterd
  • Jaap W. Deckers
  • Arno W. Hoes
  • Angelique Nederpel
  • Albert Smeets
  • David T. Linker
  • Diederick E. Grobbee
Article

DOI: 10.1023/A:1007383914444

Cite this article as:
Mosaterd, A., Deckers, J.W., Hoes, A.W. et al. Eur J Epidemiol (1997) 13: 491. doi:10.1023/A:1007383914444
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Abstract

Several scores based on symptoms and signs have been developed to assess the presence of heart failure. The goal of this study was to compare six heart failure scores in non-hospitalised subjects and to determine their usefulness in population based research. The scores were applied to 54 participants of a population based study. All underwent a complete medical examination, including chest X-ray, electrocardiography and Doppler echocardiography. Using all information available, a cardiologist, unaware of the results of the scores, clinically classified participants as having no, possible or definite heart failure. Sensitivity, specificity, predictive values and receiver operating characteristics were calculated, using the cardiologist's assessment as a gold standard. The cardiologist judged definite or possible heart failure to be present in 17 persons. All scores had a high sensitivity for the detection of definite heart failure, whereas the study of men born in 1913 and Walma's score had the highest sensitivity for the combination of possible and definite heart failure. Gheorgiade's and the Boston score had the highest positive predictive values. In conclusion, five of the six scores we studied are broadly similar in the detection of heart failure. The men born in 1913 score relies heavily on the assessment of dyspnea, resulting in a relatively large number of false positives. Although the scores are useful in detecting manifest heart failure, objective measurements of cardiac function appear necessary to reduce the false positive rate and accurately detect early stages of heart failure.

ClassificationEpidemiologyHeart failurePredictive valueSensitivitySpecificity

Copyright information

© Kluwer Academic Publishers 1997

Authors and Affiliations

  • Arend Mosaterd
    • 1
    • 2
  • Jaap W. Deckers
    • 2
  • Arno W. Hoes
    • 1
    • 3
    • 4
  • Angelique Nederpel
    • 1
    • 2
  • Albert Smeets
    • 5
  • David T. Linker
    • 6
  • Diederick E. Grobbee
    • 1
    • 4
  1. 1.Department of Epidemiology and BiostatisticsThe Netherlands
  2. 2.Thoraxcenter, Department of CardiologyUniversity Hospital Rotterdam ‘Dijkzigt’RotterdamThe Netherlands
  3. 3.Department of General PracticeErasmus University Medical SchoolRotterdamThe Netherlands
  4. 4.Department of Epidemiology and Public HealthUtrecht UniversityUtrechtThe Netherlands
  5. 5.Department of RadiologyCarolus HospitalDen BoschThe Netherlands
  6. 6.Division of CardiologyUniversity of WashingtonSeattleUSA