scholarly journals Heart failure medication after a first hospital admission and risk of heart failure readmission, focus on beta-blockers and renin-angiotensin-aldosterone system medication: A retrospective cohort study in linked databases

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244231
Author(s):  
Willemien J. Kruik-Kollöffel ◽  
Job van der Palen ◽  
Carine J. M. Doggen ◽  
Marissa C. van Maaren ◽  
H. Joost Kruik ◽  
...  
Keyword(s):  
Heart Failure ◽  
Hospital Admission ◽  
Enzyme Inhibitors ◽  
Beta Blockers ◽  
Angiotensin Receptor Blockers ◽  
Angiotensin Converting Enzyme Inhibitors ◽  
Post Discharge ◽  
Converting Enzyme Inhibitors ◽  
Receptor Blockers ◽  
Unselected Group

Background This study assessed the association between heart failure (HF) medication (angiotensin-converting-enzyme inhibitors (ACEI)/angiotensin-receptor blockers (ARB), beta-blockers (BB), mineralocorticoid-receptor antagonists (MRA) and diuretics) and HF readmissions in a real-world unselected group of patients after a first hospital admission for HF. Furthermore we analysed readmission rates for ACEI versus ARB and for carvedilol versus β1-selective BB and we investigated the effect of HF medication in relation to time since discharge. Methods and findings Medication at discharge was determined with dispensing data from the Dutch PHARMO Database Network including 22,476 patients with HF between 2001 and 2015. After adjustment for age, gender, number of medications and year of admission no associations were found for users versus non-users of ACEI/ARB (hazard ratio, HR = 1.01; 95%CI 0.96–1.06), BB (HR = 1.00; 95%CI 0.95–1.05) and readmissions. The risk of readmission for patients prescribed MRA (HR = 1.11; 95%CI 1.05–1.16) or diuretics (HR = 1.17; 95%CI 1.09–1.25) was higher than for non-users. The HR for ARB relative to ACEI was 1.04 (95%CI 0.97–1.12) and for carvedilol relative to β1-selective BB 1.33 (95%CI 1.20–1.46). Post-hoc analyses showed a protective effect shortly after discharge for most medications. For example one month post discharge the HR for ACEI/ARB was 0.77 (95%CI 0.69–0.86). Although we did try to adjust for confounding by indication, probably residual confounding is still present. Conclusions Patients who were prescribed carvedilol have a higher or at least a similar risk of HF readmission compared to β1-selective BB. This study showed that all groups of HF medication -some more pronounced than others- were more effective immediately following discharge.

scholarly journals Epidemiology and treatment of chronic heart failure; use of bisoprolol

2013 ◽  
Vol 154 (44) ◽  
pp. 1731-1734
Author(s):  
Viktor Nagy
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Angiotensin Converting Enzyme ◽  
Enzyme Inhibitors ◽  
Beta Blockers ◽  
Angiotensin Receptor Blockers ◽  
Angiotensin Converting Enzyme Inhibitors ◽  
Converting Enzyme ◽  
Converting Enzyme Inhibitors ◽  
Receptor Blockers

The prevalence of chronic heart failure in Hungary is 1.6% in the adult population, but it occurs in 15–20% of subjects over 80 years of age. The base of treatment of heart failure is the blockade of the neuro-hormonal system, which includes the use of angiotensin converting enzyme inhibitors (angiotensin receptor blockers in case of angiotensin converting enzyme inhibitors intolerance), beta receptor blockers and mineralocorticoid receptor antagonists. Because of their negative inotropic effect, beta blockers were neglected for a long time from the treatment of heart failure. However, during the past decades several studies have demonstrated that beta blockers decrease mortality in patients with heart failure. The effectiveness of bisoprolol in reducing mortality has also also been documented in a number of studies. Orv. Hetil., 154 (44), 1731–1734.

Abstract 343: Trends and Predictors of Use of Angiotensin Receptor Blocker and Neprilysin Inhibitor in Patients With Heart Failure

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Supriya Shore ◽  
Tanima Basu ◽  
Neil Kamdar ◽  
Patrick Brady ◽  
Scott L Hummel ◽  
...  
Keyword(s):  
Heart Failure ◽  
Enzyme Inhibitors ◽  
Angiotensin Receptor Blockers ◽  
Angiotensin Converting Enzyme Inhibitors ◽  
Angiotensin Receptor ◽  
Converting Enzyme Inhibitors ◽  
Reduced Ejection Fraction ◽  
Neprilysin Inhibitor ◽  
Patients With Heart Failure ◽  
Receptor Blockers

Objective: Current guidelines recommend use of combination therapy with angiotensin receptor blocker and neprilysin inhibitor (ARNI) (i.e., Entresto ® ) in patients with heart failure (HF) with reduced ejection fraction as a class 1 recommendation. Contemporary data on real-world use of these agents is lacking. Methods: This is a retrospective cohort study of individuals enrolled in Clinformatics® Data Mart Database (OptumInsight, Eden Prairie, MN from January 1, 2016 to December 31, 2018. We included all individuals ≥ 18 years, with two outpatient encounters or one inpatient encounter with a principal ICD 10 diagnosis for HFand 6 months of continuous enrollment. To further identify patients with reduced ejection fraction, we only included individuals who received prescriptions for beta-blockers and angiotensin converting enzyme inhibitors/ angiotensin receptor blockers. Comorbidities were identified using Elixhauser comorbidity index.. Multivariate logistic regression model was used to identify predictors of ARNI use. Results: A total of 154,777 patients were included in our cohort. Overall, 5,834 patients (3.8%) received an ARNI prescription. Use of ARNI increased from 1.4% in 2016 to 3.9% in 2018 (p<0.01). Compared to patients receiving angiotensin converting enzyme inhibitors/angiotensin receptor blockers, patients receiving ARNI were younger (mean age 69.4 ± 11.1 vs. 72.9 ± 11.0 years;), more likely to be male (69.3% vs. 54.4%) and have commercial insurance (22.1% vs. 16.7%) with a higher comorbidity burden. Predictors of ARNI use after multivariable adjustment included age<65 years (OR 1.4; 95% CI 1.3-1.5), Male sex (OR 1.8; 95% CI 1.7 - 1.9) and black race (OR 1.2; 95% CI 1.1 - 1.2). Other predictors of ARNI use are shown in Figure 1. Patients receiving care through a cardiologist compared to a primary care physician were more likely to receive an ARNI (OR 1.8; 95% 1.7 - 1.9). Out of pocket cost for ARNI ranged from $0 to $1006 per month (median $44; IQR $9-$60). Conclusion: Rates of ARNI use remain low among patients with heart failure with racial and gender disparities. Heart Failure patients receiving care with a cardiologist were more likely to receive ARNI. Out of pocket cost for this medication remains high and may be a significant barrier to its use.

scholarly journals Role of antihypertensive drugs in the treatment of migraine

2015 ◽  
Vol 156 (5) ◽  
pp. 179-185 ◽  
Author(s):  
Gergely Fehér ◽  
Gabriella Pusch
Keyword(s):  
Enzyme Inhibitors ◽  
Beta Blockers ◽  
Angiotensin Receptor Blockers ◽  
Angiotensin Converting Enzyme Inhibitors ◽  
Channel Blockers ◽  
Migraine Prevention ◽  
Angiotensin Receptor ◽  
Converting Enzyme Inhibitors ◽  
Receptor Blockers

The treatment of migraine depends on the frequency, severity and concomitant diseases. There are several specific drugs developed for migraine prevention in addition to the additive antimigraine effects of some other non-specific drugs. The aim of this literature-based review is to summarize the possible antimigraine properties of different antihypertensive agents (beta-blockers, calcium channel blockers, angiotensin converting enzyme inhibitors, angiotensin receptor blockers, etc.) focusing on the possible side effects (avoidance of beta blockers in the absence of heart disease, possible antiparkinson effect of calcium channel blockers, additive effect of drugs modifying the renin-angiotensin system activity, etc.). Current evidence supports the use of angiotensin converting enzyme inhibitors (mainly lisinopril) and angiotensin receptor blockers (mainly candesartan) for long-term migraine prevention and blood pressure control. Long-term beta-blocker treatment should be avoided in the absence of ischemic heart disease due to possible unfavourable cardiovascular effects. Orv. Hetil., 2015, 156(5), 179–185.

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