Literature DB >> 15489092

The diagnosis of heart failure in the community. Comparative validation of four sets of criteria in unselected older adults: the ICARe Dicomano Study.

Mauro Di Bari1, Claudia Pozzi, Maria Chiara Cavallini, Francesca Innocenti, Giorgio Baldereschi, Walter De Alfieri, Enrico Antonini, Riccardo Pini, Giulio Masotti, Niccolò Marchionni.   

Abstract

OBJECTIVES: We sought to compare construct and predictive validity of four sets of heart failure (HF) diagnostic criteria in an epidemiologic setting.
BACKGROUND: The prevalence estimates of HF vary broadly depending on the diagnostic criteria.
METHODS: Data were collected in a survey of community dwellers who were > or =65 years of age living in Dicomano, Italy. At baseline, HF was diagnosed with the criteria of the Framingham, Boston, and Gothenburg studies and of the European Society of Cardiology (ESC). Left ventricular mass index and ejection fraction, left atrium systolic dimension, lower extremity mobility disability, summary physical performance score, and 6-min walk test were compared between HF and non-HF participants to test for construct validity of each set of criteria. Predictive validity was evaluated with follow-up assessment of cardiovascular mortality, incident disability, and HF-related hospitalizations. Comparisons were adjusted for demographics, comorbidity, and psychoaffective status.
RESULTS: Of 553 participants, 11.9%, 10.7%, 20.8%, and 9.0% had HF, according to Framingham, Boston, Gothenburg, and ESC criteria, respectively. In terms of construct validity, Framingham and Boston criteria discriminated HF from non-HF participants better than Gothenburg and ESC criteria across the measures of cardiac function and global performance. The Boston criteria showed a superior predictive validity because they indicated a significantly greater adjusted risk of cardiovascular death (hazard ratio3.9, 95% confidence interval 1.2 to 13.2), incident disability, and hospitalizations in participants with HF.
CONCLUSIONS: The Boston criteria are preferable to Framingham, Gothenburg, and ESC criteria for the diagnosis of HF in older community dwellers because they have good construct validity and more accurately predict cardiovascular death, incident disability, and hospitalizations.

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Year:  2004        PMID: 15489092     DOI: 10.1016/j.jacc.2004.07.022

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  30 in total

Review 1.  Administrative data have high variation in validity for recording heart failure.

Authors:  Susan Quach; Claudia Blais; Hude Quan
Journal:  Can J Cardiol       Date:  2010-10       Impact factor: 5.223

2.  Classification of heart failure in the atherosclerosis risk in communities (ARIC) study: a comparison of diagnostic criteria.

Authors:  Wayne D Rosamond; Patricia P Chang; Chris Baggett; Anna Johnson; Alain G Bertoni; Eyal Shahar; Anita Deswal; Gerardo Heiss; Lloyd E Chambless
Journal:  Circ Heart Fail       Date:  2012-01-23       Impact factor: 8.790

3.  Classification of acute decompensated heart failure: an automated algorithm compared with a physician reviewer panel: the Atherosclerosis Risk in Communities study.

Authors:  Laura R Loehr; Sunil K Agarwal; Chris Baggett; Lisa M Wruck; Patricia P Chang; Scott D Solomon; Eyal Shahar; Hanyu Ni; Wayne D Rosamond; Gerardo Heiss
Journal:  Circ Heart Fail       Date:  2013-05-06       Impact factor: 8.790

4.  Associations between echocardiographic arterial compliance and incident cardiovascular disease in blacks: the ARIC study.

Authors:  Melissa C Caughey; Laura R Loehr; Susan Cheng; Scott D Solomon; Christy Avery; Alan L Hinderliter
Journal:  Am J Hypertens       Date:  2014-05-18       Impact factor: 2.689

5.  Peripheral tissue oxygenation improves during ED treatment of acute heart failure.

Authors:  Christopher J Hogan; Kevin R Ward; Michael C Kontos; Leroy R Thacker; Roland Pittman
Journal:  Am J Emerg Med       Date:  2011-01-03       Impact factor: 2.469

Review 6.  Heart Failure With Preserved Ejection Fraction In Perspective.

Authors:  Marc A Pfeffer; Amil M Shah; Barry A Borlaug
Journal:  Circ Res       Date:  2019-05-24       Impact factor: 17.367

Review 7.  The heart failure epidemic.

Authors:  Véronique L Roger
Journal:  Int J Environ Res Public Health       Date:  2010-04-19       Impact factor: 3.390

8.  Comparing methods for identifying patients with heart failure using electronic data sources.

Authors:  Fadi Alqaisi; L Keoki Williams; Edward L Peterson; David E Lanfear
Journal:  BMC Health Serv Res       Date:  2009-12-18       Impact factor: 2.655

9.  Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.

Authors:  Roy J Byrd; Steven R Steinhubl; Jimeng Sun; Shahram Ebadollahi; Walter F Stewart
Journal:  Int J Med Inform       Date:  2013-01-11       Impact factor: 4.046

10.  Coexisting Frailty, Cognitive Impairment, and Heart Failure: Implications for Clinical Care.

Authors:  Brittany Butts; Rebecca Gary
Journal:  J Clin Outcomes Manag       Date:  2015-01
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