Literature DB >> 25710785

Reverse epidemiology in different stages of heart failure.

G Güder1, G Gelbrich2, F Edelmann3, R Wachter4, B Pieske5, S Pankuweit6, B Maisch6, C Prettin7, S Brenner1, C Morbach1, D Berliner8, N Deubner9, G Ertl1, C E Angermann1, S Störk10.   

Abstract

BACKGROUND: In heart failure (HF), traditional cardiovascular risk factors (RF) as body mass index (BMI), total cholesterol (TC) and systolic blood pressure (SBP) are associated with better survival. It is unknown at which time point along the disease continuum the adverse impact of these RF ceases and may 'start to reverse'. We analyzed the distribution of RF and their association with survival across HF stages.
METHODS: We pooled data from four cohort studies from the German Competence Network HF. Employing ACC/AHA-criteria, patients were allocated to stage A (n=218), B (n=1324), C1 (i.e., New York Heart Association [NYHA] classes I & II; n=1134), and C2+D (NYHA III & IV; n=639).
RESULTS: With increasing HF severity median age increased (63/67/67/70 years), whereas the proportion of females (56/52/37/35%), median BMI (26.1/28.8/27.7/26.6 kg/m(2)), TC (212/204/191/172 mg/dl), and SBP (140/148/130/120 mmHg) decreased (P<0.001 for trend for all). In the total cohort, higher levels of all RF were associated with better survival, even after extensive adjustment for multiple confounders. If analyses were stratified, however, a higher RF burden predicted better survival only in clinically symptomatic patients: hazard ratio (HR) per +2 kg/m(2) BMI 0.91 (95% confidence interval 0.88; 0.95); per +10 mg/dl TC 0.93 (0.92; 0.95); per +5 mmHg SBP 0.94 (0.92; 0.95).
CONCLUSION: In this well-characterized sample of patients representing the entire HF continuum, reverse associations were only consistently observed in symptomatic HF stages. Our data indicate that the phenomenon of a "reverse epidemiology" in HF is subject to significant selection bias in less advanced disease.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  AHA/ACC stages of heart failure; Prognosis; Reverse epidemiology

Mesh:

Year:  2015        PMID: 25710785     DOI: 10.1016/j.ijcard.2015.02.009

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  6 in total

1.  Prognostic impact of diastolic dysfunction in systolic heart failure-A cross-project analysis from the German Competence Network Heart Failure.

Authors:  Claus Lüers; Frank Edelmann; Rolf Wachter; Burkert Pieske; Meinhard Mende; Christiane Angermann; Georg Ertl; Hans-Dirk Düngen; Stefan Störk
Journal:  Clin Cardiol       Date:  2017-05-03       Impact factor: 2.882

2.  Prevalence and prognostic impact of chronic kidney disease and anaemia across ACC/AHA precursor and symptomatic heart failure stages.

Authors:  Louisa M S Gerhardt; Maren Kordsmeyer; Susanne Sehner; Gülmisal Güder; Stefan Störk; Frank Edelmann; Rolf Wachter; Sabine Pankuweit; Christiane Prettin; Georg Ertl; Christoph Wanner; Christiane E Angermann
Journal:  Clin Res Cardiol       Date:  2022-06-01       Impact factor: 6.138

Review 3.  Obesity paradox in heart failure: statistical artifact, or impetus to rethink clinical practice?

Authors:  Richard Charnigo; Maya Guglin
Journal:  Heart Fail Rev       Date:  2017-01       Impact factor: 4.214

Review 4.  Obesity or BMI Paradox? Beneath the Tip of the Iceberg.

Authors:  Lorenzo Maria Donini; Alessandro Pinto; Anna Maria Giusti; Andrea Lenzi; Eleonora Poggiogalle
Journal:  Front Nutr       Date:  2020-05-07

Review 5.  Relationship between hemoglobin A1c and serum troponin in patients with diabetes and cardiovascular events.

Authors:  Stjepan Šimić; Tomo Svaguša; Ingrid Prkačin; Tomislav Bulum
Journal:  J Diabetes Metab Disord       Date:  2019-11-11

Review 6.  Epigenetics in heart failure phenotypes.

Authors:  Alexander Berezin
Journal:  BBA Clin       Date:  2016-05-30
  6 in total

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