Literature DB >> 29870433

Associations between relevant cardiovascular pharmacotherapies and incident heart failure in patients with atrial fibrillation: a cohort study in primary care.

Per Wändell1, Axel C Carlsson1,2, Martin J Holzmann3,4, Johan Ärnlöv1,5, Jan Sundquist6,7,8, Kristina Sundquist6,7,8.   

Abstract

OBJECTIVE: To study association between relevant cardiovascular pharmacotherapy and incident congestive heart failure (CHF) in patients with atrial fibrillation treated in primary health care.
METHODS: Study population included all adults (n = 7975) aged 45 years and older diagnosed with atrial fibrillation at 75 primary care centers in Sweden between 2001 and 2007. Outcome was defined as a first diagnosis of CHF post-atrial fibrillation diagnosis. Association between CHF and treatment with relevant cardiovascular pharmacotherapies (beta blockers, calcium blockers, digitalis, diuretics, RAS blockers, and statins) was explored using Cox regression analysis with hazard ratios and 95% CIs. Adjustments were made for age, sociodemographic variables, and comorbid conditions (with or without cardiovascular disorders).
RESULTS: During a mean of 5.7 years (SD 2.3) of follow-up, totally 1552 patients (19.5%; 803 women and 749 men) had a recorded CHF diagnosis. Thiazides (hazard ratio 0.74, 95% CI 0.65-0.84), vessel-active calcium channel blockers (hazard ratio 0.76, 95% CI 0.67-0.86), and nonselective beta blockers (hazard ratio 0.84, 95% CI 0.72-0.98), with specifically sotalol representing 80% of nonselective beta blockers (hazard ratio 0.81, 95% CI 0.69-0.97), were associated with lower CHF risk in fully adjusted models. Loop diuretics (hazard ratio 1.41, 95% CI 1.25-1.57) were associated with a higher risk. Findings for thiazides and vessel-active channel blockers were consistent in the tested subgroups.
CONCLUSION: In this clinical setting, we found that thiazides, vessel-active calcium channel blockers, and nonselective beta blockers (specifically sotalol) were associated with a lower risk of incident CHF among patients with atrial fibrillation. The findings of the present study need to be confirmed in other settings.

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Year:  2018        PMID: 29870433      PMCID: PMC6701474          DOI: 10.1097/HJH.0000000000001813

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  30 in total

1.  New-onset atrial fibrillation: sex differences in presentation, treatment, and outcome.

Authors:  K H Humphries; C R Kerr; S J Connolly; G Klein; J A Boone; M Green; R Sheldon; M Talajic; P Dorian; D Newman
Journal:  Circulation       Date:  2001-05-15       Impact factor: 29.690

2.  Bias.

Authors:  Miguel Delgado-Rodríguez; Javier Llorca
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

Review 3.  Do calcium channel blockers increase the diagnosis of heart failure in patients with hypertension?

Authors:  Marcelo C Shibata; Hernando León; Trish Chatterley; Marlene Dorgan; Ben Vandermeer
Journal:  Am J Cardiol       Date:  2010-07-15       Impact factor: 2.778

4.  The new Swedish Prescribed Drug Register--opportunities for pharmacoepidemiological research and experience from the first six months.

Authors:  Björn Wettermark; Niklas Hammar; Carl Michael Fored; C MichaelFored; Andrejs Leimanis; Petra Otterblad Olausson; Ulf Bergman; Ingemar Persson; Anders Sundström; Barbro Westerholm; Måns Rosén
Journal:  Pharmacoepidemiol Drug Saf       Date:  2007-07       Impact factor: 2.890

Review 5.  Antihypertensive treatment and development of heart failure in hypertension: a Bayesian network meta-analysis of studies in patients with hypertension and high cardiovascular risk.

Authors:  Sebastiano Sciarretta; Francesca Palano; Giuliano Tocci; Rossella Baldini; Massimo Volpe
Journal:  Arch Intern Med       Date:  2010-11-08

6.  Drug use in patients with atrial fibrillation in Swedish primary health care: a comparison 5 years apart.

Authors:  P E Wändell
Journal:  Eur J Clin Pharmacol       Date:  1999-06       Impact factor: 2.953

7.  The validity of a diagnosis of heart failure in a hospital discharge register.

Authors:  Erik Ingelsson; Johan Arnlöv; Johan Sundström; Lars Lind
Journal:  Eur J Heart Fail       Date:  2005-08       Impact factor: 15.534

Review 8.  Gender in atrial fibrillation: Ten years later.

Authors:  Hector I Michelena; Brian D Powell; Peter A Brady; Paul A Friedman; Michael D Ezekowitz
Journal:  Gend Med       Date:  2010-06

Review 9.  Atrial fibrillation in congestive heart failure.

Authors:  Jens Seiler; William G Stevenson
Journal:  Cardiol Rev       Date:  2010 Jan-Feb       Impact factor: 2.644

10.  Calcium channel blockers and cardiovascular outcomes: a meta-analysis of 175,634 patients.

Authors:  Pierluigi Costanzo; Pasquale Perrone-Filardi; Mario Petretta; Caterina Marciano; Enrico Vassallo; Paola Gargiulo; Stefania Paolillo; Andrea Petretta; Massimo Chiariello
Journal:  J Hypertens       Date:  2009-06       Impact factor: 4.844

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  3 in total

1.  Use of cardiovascular drugs and risk of incident heart failure in patients with atrial fibrillation.

Authors:  Per Wändell; Axel C Carlsson; Xinjun Li; Martin J Holzmann; Jan Sundquist; Kristina Sundquist
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-07-15       Impact factor: 3.738

2.  Sex Differences in Cardiovascular Medication Prescription in Primary Care: A Systematic Review and Meta-Analysis.

Authors:  Min Zhao; Mark Woodward; Ilonca Vaartjes; Elizabeth R C Millett; Kerstin Klipstein-Grobusch; Karice Hyun; Cheryl Carcel; Sanne A E Peters
Journal:  J Am Heart Assoc       Date:  2020-05-20       Impact factor: 5.501

3.  Angiotensin (ang) 1-7 inhibits ang II-induced atrial fibrosis through regulating the interaction of proto-oncogene tyrosine-protein kinase Src (c-Src) and Src homology region 2 domain-containing phosphatase-1 (SHP-1)).

Authors:  Li Lu; Li Cao; Yihao Liu; Yunlin Chen; Jinqi Fan; Yuehui Yin
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  3 in total

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