Population-Based Analysis of Class Effect of β Blockers in Heart Failure

2011 ◽  
Vol 107 (8) ◽  
pp. 1196-1202 ◽  
Author(s):  
Darius Lucian Lazarus ◽  
Cynthia Anne Jackevicius ◽  
Hassan Behlouli ◽  
Helen Johansen ◽  
Louise Pilote
Author(s):  
Adam Gorman

<p>A critical appraisal and clinical application of Lazarus DL, Jackevicius CA, Behlouli H, et al. Population-Based Analysis of Class Effect of β Blockers in Heart Failure. <em>The American Journal of Cardiology </em>2011;107(8):1196-1202. doi: <a href="https://doi.org/10.1016/j.amjcard.2010.12.017">10.1016/j.amjcard.2010.12.017</a>.</p>


2007 ◽  
Vol 153 (2) ◽  
pp. 224-230 ◽  
Author(s):  
Stéphane Rinfret ◽  
Michal Abrahamowicz ◽  
Jack Tu ◽  
Karin Humphries ◽  
Mark J. Eisenberg ◽  
...  

2005 ◽  
Vol 36 (9) ◽  
pp. 49
Author(s):  
Mitchel L. Zoler ◽  
Betsy Bates
Keyword(s):  

2005 ◽  
Vol 38 (17) ◽  
pp. 60
Author(s):  
Mitchel L. Zoler ◽  
Betsy Bates
Keyword(s):  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Jimenez ◽  
M Cainzos-Achirica ◽  
D Monterde ◽  
L Garcia-Eroles ◽  
C Enjuanes ◽  
...  

Abstract Background Prevalence of congestive heart failure (CHF) and predisposing conditions has described previously. Most of these studies evaluated centre-European or north-American populations. However, the prevalence and evolutionary changes of Heart Failure stages A, B and C has not been fully elucidated in Mediterranean cohorts. Purpose To estimate the prevalence of CHF (HF Stage C) and four additional key chronic cardiovascular, metabolic and renal conditions predisposing to the development of CHF (HF Stages A and B) at a population level in a south-European healthcare area. We analysed the evolutionary changes in the prevalence in these five conditions. Methods In a healthcare area of 1,3Millions inhabitants, we extracted health related information of all individuals ≥55 years old. We analysed data of 375,233 individuals included in the population-based healthcare database of a public Institute of Health between 2015 and 2017. The conditions of interest were CHF, chronic kidney disease (CKD), diabetes mellitus (DM), ischemic heart disease (IHD) and hypertension (HTN). Results The prevalence of chronic conditions was high, particularly of HTN (48.2–48.9%) and DM individuals (14.6–14.8%). The other conditions were less frequent, with prevalence around 2–4% for IHD, 5–9% for CKD and 2–4% for CHF (Table). However, the less frequent conditions had a striking upward trend with over 1,500 new prevalent cases per year between 2015 and 2017 for CHF (45% relative increase), more than 2,500 new prevalent cases for IHD (67% relative increase) and more than 4,000 new prevalent cases per year for CKD (44% relative increase). Conclusion In this south European cohort, there were a high prevalence of HTN and DM as risk factors and a significant trend of increasing prevalence in high cost chronic conditions such as CHF, IHD and CKD. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): The present study was funded by an unrestricted research grant from Vifor Pharma.


Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2254
Author(s):  
Matteo Franchi ◽  
Roberta Tritto ◽  
Luigi Tarantini ◽  
Alessandro Navazio ◽  
Giovanni Corrao

Background: Whether aromatase inhibitors (AIs) increase the risk of cardiovascular (CV) events, compared to tamoxifen, in women with breast cancer is still debated. We evaluated the association between AI and CV outcomes in a large population-based cohort of breast cancer women. Methods: By using healthcare utilization databases of Lombardy (Italy), we identified women ≥50 years, with new diagnosis of breast cancer between 2009 and 2015, who started adjuvant therapy with either AI or tamoxifen. We estimated the association between exposure to AI and CV outcomes (including myocardial infarction, ischemic stroke, heart failure or any CV event) by a Cox proportional hazard model with inverse probability of treatment and censoring weighting. Results: The study cohort included 26,009 women starting treatment with AI and 7937 with tamoxifen. Over a median follow-up of 5.8 years, a positive association was found between AI and heart failure (Hazard Ratio = 1.20, 95% CI: 1.02 to 1.42) and any CV event (1.14, 1.00 to 1.29). The CV risk increased in women with previous CV risk factors, including hypertension, diabetes and dyslipidemia. Conclusions: Adjuvant therapy with AI in breast cancer women aged more than 50 years is associated with increased risk of heart failure and combined CV events.


Sign in / Sign up

Export Citation Format

Share Document