Literature DB >> 30817783

Higher versus lower doses of ACE inhibitors, angiotensin-2 receptor blockers and beta-blockers in heart failure with reduced ejection fraction: Systematic review and meta-analysis.

Ricky D Turgeon1, Michael R Kolber2, Peter Loewen3, Ursula Ellis4, James P McCormack5.   

Abstract

BACKGROUND: Current heart failure (HF) guidelines recommend titrating angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) and beta-blockers (BBs) to target doses used in pivotal placebo-controlled randomized controlled trials (RCTs). Despite a number of RCTs comparing different doses (i.e. higher versus lower doses) of ACEIs, ARBs and BBs, the effects of higher versus lower doses on efficacy and safety remains unclear. For this reason, we performed a systematic review and meta-analysis to evaluate the efficacy and safety of higher versus lower doses of ACEIs, ARBs and BBs in patients with HFrEF.
METHODS: We searched MEDLINE, Embase and the Cochrane Central Register of Controlled Trials (CENTRAL) via Ovid from inception to April 25th, 2018 and opentrials.net and clinicaltrials.gov for relevant trials that compared different doses of medications in heart failure. We analyzed trials by drug class (ACEIs, ARBs, and BBs) for efficacy outcomes (all-cause mortality, cardiovascular mortality, all-cause hospitalizations, HF hospitalizations, HF worsening). For safety outcomes, we pooled trials within and across drug classes.
RESULTS: Our meta-analysis consisted of 14 RCTs. Using GRADE criteria, the quality of evidence for ACEIs and ARBs was assessed as generally moderate for efficacy and high for adverse effects, whereas overall quality for BBs was very low to low. Over ~2-4 years higher versus lower doses of ACEIs, ARBs or BBs did not significantly reduce all-cause mortality [ACEIs relative risk (RR) 0.94 (95% confidence interval 0.87-1.02)], ARBs RR 0.96 (0.87-1.04), BBs RR 0.25 (0.06-1.01)] or all cause hospitalizations [ACEIs relative risk (RR) 0.94 (95% confidence interval 0.86-1.02)], ARBs RR 0.98 (0.93-1.04), BBs RR 0.93 (0.39-2.24)]. However, all point estimates favoured higher doses. Higher doses of ARBs significantly reduced hospitalization for HF [RR 0.89 (0.80-0.99)- 2.8% ARR], and higher doses of ACEIs and ARBs significantly reduced HF worsening [RR 0.85 (0.79-0.92)- 5.1% ARR and 0.91 (0.84-0.99)- 3.2% ARR, respectively] compared to lower doses. None of the differences between higher versus lower doses of BBs were significant; however, precision was low. Higher doses of these medications compared to lower doses increased the risk of discontinuation due to adverse events, hypotension, dizziness, and for ACEIs and ARBs, increased hyperkalemia and elevations in serum creatinine. Absolute increase in harms for adverse effects ranged from ~ 3 to 14%.
CONCLUSIONS: Higher doses of ACEIs and ARBs reduce the risk of HF worsening compared to lower doses, and higher doses of ARBs also reduce the risk of HF hospitalization but the evidence is sparse and imprecise. Higher doses increase the chance of adverse effects compared to lower doses. Evidence for BBs is inconclusive. These results support initially always starting at low doses of ACEIs/ARBs and only titrating the dose up if the patient tolerates dose increases.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30817783      PMCID: PMC6394936          DOI: 10.1371/journal.pone.0212907

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Heart failure (HF) with reduced ejection fraction (HFrEF) is a prevalent condition with an overall poor prognosis.[1] The combination of an angiotensin-converting enzyme inhibitor (ACEI) or angiotensin-2 receptor blocker (ARB) plus a beta-blocker (BB) is first-line therapy for HFrEF management,[1],[2] as these medications reduce morbidity and mortality compared to placebo.[3],[4],[5] These results have led guideline authors to universally recommend starting these agents in most patients with (HFrEF).[1],[2] The approach recommended by guidelines when initiating these medications is to start at a low-to-moderate dose and titrate as tolerated to the target doses used in placebo-controlled randomized controlled trials (RCTs).[1],[2] However, many patients are unable to achieve and maintain target doses due to adverse effects, with most patients only achieving ~50% of the target dose.[6] Despite a number of RCTs comparing different doses (i.e. higher versus lower doses) of ACEIs, ARBs and BBs, the effects of higher versus lower doses on efficacy and safety remains unclear. For this reason, we performed a systematic review and meta-analysis to evaluate the efficacy and safety of higher versus lower doses of ACEIs, ARBs and BBs in patients with HFrEF.

Methods

Design

Systematic review with meta-analysis in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement.[7]

Search strategy

We searched MEDLINE, Embase and the Cochrane Central Register of Controlled Trials (CENTRAL) via Ovid from inception to April 25th, 2018 using keywords and subject headings for the following concepts: heart failure, ACEI, ARB, BB, dose, and randomized controlled trial (see S1 Appendix for MEDLINE search strategy). We also searched opentrials.net and clinicaltrials.gov for relevant RCTs, and hand-searched bibliographies of included studies.

Eligibility criteria and outcomes

We included parallel RCTs published in English evaluating different doses of the same drug within the class of ACEIs, ARBs, or BBs in patients with HFrEF as defined by study investigators. Eligible trials needed to report results for at least one of the following outcomes: all-cause mortality, cardiovascular mortality, all-cause hospitalizations, HF hospitalizations, HF worsening, serious adverse events, discontinuation due to adverse events, hypotension, lightheadedness/dizziness, hyperkalemia, renal dysfunction, and cough. While there is evidence some of these drug classes have dose-related hemodynamic and neurohormonal effects, we chose to only include trials whose clinical outcomes would likely be relevant to clinicians and patients.

Study selection and data collection

Three authors (MK, PL, JM) screened candidate articles for inclusion, identified missing data, and consulted original publications. The same authors individually extracted crude outcome data from full-text reports into a standardized database. For trials comparing >2 doses, we included the results from only the lowest and highest dose arms, hereafter referred to as “higher dose” and “lower dose”. Discrepancies and missing data were resolved by group discussion, reference to the original publication, and additional independent adjudication by all authors.

Risk of bias and quality of evidence assessment

Two authors (JM, PL) assessed individual trials for risk of bias using the Cochrane Collaboration Risk of Bias Tool.[8] For each trial, we classified trials as being at low, high, or unclear risk of bias in each of 5 domains: sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessors and incomplete outcome data. Disagreements were resolved by consensus with a third author (RT). We also rated the quality of evidence for individual outcomes from high to very low based on Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology, which incorporates risk of bias, consistency, directness, precision, and other considerations.[9]

Synthesis of results and assessment of heterogeneity

We performed all analyses using Review Manager 5.3 (Cochrane Collaboration). We pooled trials by drug class studied at the study level and calculated risk ratios (RRs) with 95% confidence intervals (CIs), and absolute risk difference per 1000 patients treated over the follow-up period. For efficacy outcomes, we analyzed trials by drug class (ACEIs, ARBs, and BBs). For safety outcomes, we pooled trials within and across drug classes. All comparisons used high dose as the experimental intervention and low dose as the control intervention. We evaluated for statistical heterogeneity by visually inspecting forest plots and by calculating the I2 statistic. For efficacy outcomes, we reported fixed-effects model results for analyses with I2<50% and the random-effects model results for an I2≥50%. We reported all safety outcomes using fixed-effects models to minimize type 2 error.

Results

Included studies

From 1923 articles identified, we included 14 RCTs with sample size ranging from 83 to 3846 participants (Fig 1). We identified evidence for the following interventions: ACEIs (7 studies, n = 5,817),[10],[11],[12],[13],[14],[15],[16] ARBs (3 studies, n = 4,908),[17],[18],[19] and BBs (4 studies, n = 1,018).[20],[21],[22],[23]
Fig 1

PRISMA flow diagram.

Characteristics of included trials

Table 1 summarizes key characteristics of the included trials. At baseline, the mean age across trials ranged from 54–70 years, approximately 75% of participants were male, and the majority had NYHA functional class 2 or 3 symptoms. Twelve trials required reduced ejection fraction (EF) at baseline, ranging from <30% to <50%. Eight trials compared >2 doses; seven studies (50%) compared a 4-fold increase in dose (between the groups receiving the lowest and highest dose), 4 studies (29%) compared 7 to 16-fold differences in doses, and three studies (21%) compared a 2 to 3-fold difference in dose. The weighted mean follow-up duration across included studies was 34 months (ACEIs 28 months, ARBs 45 months, BBs 17 months). Three studies that accounted for 63% of patients in this meta-analysis had follow-up greater than 12 months.[10],[18],[21]
Table 1

Characteristics of included trials.

BaselineStudy intervention
Trial (year)nFollow-up duration, monthsMean age, yMale, %NYHA class, %LVEF, %ACEI or ARBBBMRADigoxinDrugHigher dose, mg/dayLower dose, mg/dayRatio
IIIIIIVFor inclusionMean
ACEIs
ATLAS (1999)3164Mean 46 (range 39–58)648016777≤302389NRNRNRLisinopril32.5 to 352.5 to 57–13
NETWORK (1998)15326706465332None20aNR11NR24Enalapril2054
CHIPS (2000)29812656938500<45NRNR26NR31Captopril100502
HEDS (2000)248125685424411≤3520NRNRNR92Enalapril60203
CASSIS (1995)24835883255619<40285NRNR91Spirapril61.54
van Veldhuisen (1998)2443617777230<4534NRNRNR38Imidapril102.54
Pacher (1996)8311568328018NoneNR100NR2100Enalapril40104
ARBs
HEAAL (2009)3846Mean 56 (IQR 41–66)667169301<4033NR723842Losartan150503
STRETCH (1999)844362688119030–403959NRNR42Candesartan1644
Havranek (1999)21836082632116<4024NRNRNRNRIrbesartan15012.512
BBs
J-CHF (2013)360Mean 36607483170≤403087NRNR33Carvedilol202.58
MOCHA (1996)3456607646522≤352394NRNR92Carvedilol5012.54
MUCHA (2004)1746–12607879210<403076NRNR67Carvedilol2054
Bristow (1994)1393546142550<402487NRNR79Bucindolol20012.516

ACEI: Angiotensin-converting enzyme inhibitor, ARB: Angiotensin-2 receptor blocker, BB: beta-blocker, IQR: Interquartile range, LVEF: Left ventricular ejection fraction, MRA: Mineralocorticoid receptor antagonist, NR: Not reported.

a Estimated from mean baseline left ventricular end-diastolic (LVEDD) and end-systolic dimensions (LVESD) using the equation LVEF = (LVEDD-LVESD) / LVEDD

ACEI: Angiotensin-converting enzyme inhibitor, ARB: Angiotensin-2 receptor blocker, BB: beta-blocker, IQR: Interquartile range, LVEF: Left ventricular ejection fraction, MRA: Mineralocorticoid receptor antagonist, NR: Not reported. a Estimated from mean baseline left ventricular end-diastolic (LVEDD) and end-systolic dimensions (LVESD) using the equation LVEF = (LVEDD-LVESD) / LVEDD

Risk of bias and quality assessment

All trials except the HEAAL study had high or unclear risk of bias in at least 3 of the 5 domains (Fig 2). Quality of evidence for ACEIs and ARBs was generally moderate for efficacy and high for adverse effects, whereas overall quality for BBs was very low to low. Table 2 lists the quality of evidence for each outcome and reasons for downgrading. We did not assess for publication bias as the number of studies for each meta-analysis was insufficient according to accepted criteria.[24]
Fig 2

Risk of bias summary.

Table 2

GRADE summary of findings.

Statistically significant results are shown in bold text.

ACEIsARBsBBs
OutcomeQuality of evidenceEffect(follow-up range 3–58 months–mean 28 months)Certain assessmentEffect(follow-up range 3–66 months–mean 45 months)Certain assessmentEffect(follow-up range 3–36 months–mean 17 months)
RR (95% CI)Absolute change, per 1000RR (95% CI)Absolute change, per 1000RR (95% CI)Absolute change, per 1000
Mortality
    All-causeMODERATE 10.94(0.87 to 1.02)19 fewer(from 6 more to 40 fewer)MODERATE 10.96(0.87 to 1.04)12 fewer(from 12 more to 40 fewer)LOW 20.25(0.06 to 1.01)36 fewer(from 0 more to 45 fewer)
    CardiovascularMODERATE 10.92(0.85 to 1.01)30 fewer(from 4 more to 55 fewer)MODERATE 10.93(0.83 to 1.04)17 fewer(from 10 more to 42 fewer)-NRNR
Hospitalization
    All-causeMODERATE 10.94(0.86 to 1.02)22 fewer(from 7 more to 52 fewer)MODERATE 10.98(0.93 to 1.04)11 fewer(from 23 more to 40 fewer)LOW 20.93(0.39 to 2.24)8 fewer(from 66 fewer to 134 more)
    Heart failureLOW 1 30.86(0.56 to 1.32)18 fewer(from 42 more to 58 fewer)MODERATE 10.89(0.80 to 0.99)28 fewer(from 3 to 52 fewer)LOW 22.48(0.60 to 10.28)23 more(from 6 fewer to 143 more)
Heart failure worseningHIGH0.85(0.79 to 0.92)51 fewer(from 27 to 71 fewer)MODERATE 10.91(0.84 to 0.99)32 fewer(from 4 to 57 fewer)LOW 20.45(0.11 to 1.86)16 fewer(from 26 fewer to 26 more)
Adverse effects
    Leading to discontinuationMODERATE 11.19(0.97 to 1.46)13 more(from 2 fewer to 31 more)MODERATE 11.17(0.94 to 1.45)11 more(from 4 fewer to 30 more)VERY LOW 2 41.98(0.37 to 10.62)16 more(from 11 fewer to 162 more)
    HypotensionHIGH1.60(1.28 to 2.00)30 more(from 14 to 51 more)HIGH1.40(1.15 to 1.72)27 more(from 10 to 49 more)VERY LOW 2 41.12(0.35 to 3.53)7 more(from 39 fewer to 152 more)
    DizzinessMODERATE 31.39(1.22 to 1.59)51 more(from 29 to 77 more)-NRNRLOW 1 41.59(1.00 to 2.52)142 more(from 0 to 366 more)
    HyperkalemiaHIGH1.87(1.39 to 2.51)24 more(from 11 to 42 more)MODERATE 41.48(1.20 to 1.83)33 more(from 14 to 57 more)-NRNR
    Serum creatinine increaseHIGH1.46(1.18 to 1.81)27 more(from 10 to 47 more)HIGH1.41(1.24 to 1.60)62 more(from 37 to 91 more)-NRNR
    CoughMODERATE 10.83(0.71 to 0.97)23 fewer(from 4 to 39 fewer)-NRNR-NRNR

ACEI: Angiotensin-converting enzyme inhibitor, ARB: Angiotensin-2 receptor blocker, BB: beta-blocker, NR: Not reported.

1 Rated down 1 category for serious imprecision

2 Rated down 2 categories for very serious imprecision

3 Rated down 1 category for serious inconsistency

4 Rate down 1 category for suspected selective outcome reporting bias

GRADE summary of findings.

Statistically significant results are shown in bold text. ACEI: Angiotensin-converting enzyme inhibitor, ARB: Angiotensin-2 receptor blocker, BB: beta-blocker, NR: Not reported. 1 Rated down 1 category for serious imprecision 2 Rated down 2 categories for very serious imprecision 3 Rated down 1 category for serious inconsistency 4 Rate down 1 category for suspected selective outcome reporting bias

Efficacy

Figs 3–7 illustrate the meta-analyses for efficacy outcomes, and Table 2 summarizes the absolute and relative estimates for efficacy. Post-hoc analyses pooling studies of ACEIs and ARBs are shown in Figs 8 and 9.
Fig 3

Forest plot of risk ratios (with 95% confidence intervals) of overall mortality for higher doses versus lower doses of ACE inhibitors, angiotensin-2 receptor blockers and beta-blockers in patients with heart failure with reduced ejection fraction.

Fig 7

Forest plot of risk ratios (with 95% confidence intervals) of heart failure worsening for higher doses versus lower doses of ACE inhibitors, angiotensin-2 receptor blockers and beta-blockers in patients with heart failure with reduced ejection fraction.

Fig 8

Forest plot of risk ratios (with 95% confidence intervals) of overall mortality (post-hoc analyses pooling studies of ACE inhibitors and angiotensin-2 receptor blockers) for higher doses versus lower doses in patients with heart failure with reduced ejection fraction.

Fig 9

Forest plot of risk ratios (with 95% confidence intervals) of hospitalization for heart failure (post-hoc analyses pooling studies of ACE inhibitors and angiotensin-2 receptor blockers) for higher doses versus lower doses in patients with heart failure with reduced ejection fraction.

Adverse effects

Figs 10–15 illustrate the meta-analyses for adverse effects, and Table 2 summarizes the absolute and relative estimates for adverse effects.
Fig 10

Forest plot of risk ratios (with 95% confidence intervals) of discontinuation for adverse effects for higher doses versus lower doses of ACE inhibitors, angiotensin-2 receptor blockers and beta-blockers in patients with heart failure with reduced ejection fraction.

Fig 15

Forest plot of risk ratios (with 95% confidence intervals) of cough for higher doses versus lower doses of ACE inhibitors, angiotensin-2 receptor blockers and beta-blockers in patients with heart failure with reduced ejection fraction.

Discussion

In this systematic review and meta-analysis of RCTs, higher doses of ACEIs were not statistically superior to the lower doses studied in terms of mortality or hospitalizations, but point estimates were in favour of higher doses. Higher doses of ACEIs statistically-significantly reduced the proportion of patients with episodes of worsening HF compared to lower doses. Similarly, higher doses of ARBs did not statistically reduce mortality or all-cause hospitalizations compared to lower doses, but point estimates were again in favour of higher doses. However, higher doses of ARBs did statistically reduced HF hospitalization and episodes of worsening HF compared to the lower doses studied. We did not find statistically-significant differences between higher and lower doses of BBs for any efficacy outcome, though results were imprecise due to few events, limiting the certainty of these findings. Higher doses increased the risk of discontinuation due to adverse events, hypotension, dizziness, and for ACEIs and ARBs, increased hyperkalemia and elevations in serum creatinine compared to lower doses. Based on these pooled results, treating 1000 patients with higher versus lower doses of ACEIs over a mean of 28 months would result in 51 fewer patients experiencing worsening HF and 23 fewer patients experiencing cough (possibly related to the lower incidence of worsening HF). These benefits would be offset by 30–51 more patients experiencing hypotension or dizziness, and 24–27 patients having laboratory abnormalities including hyperkalemia or an increase in serum creatinine. Treating 1000 patients with higher versus lower doses of ARBs over a mean of 45 months would lead to 28–32 fewer cases of HF hospitalization or worsening, 27 more patients experiencing symptomatic hypotension, 33 more patients with hyperkalemia and 62 more patients with increased serum creatinine. For BBs the data is too imprecise to estimate efficacy, but suggest 142 more cases of dizziness per 1000 patients treated with higher doses versus lower doses over 17 months. Our results differ somewhat from those of a recent meta-analysis comparing higher versus lower doses of ACEIs/ARBs by Khan et al.[25] These authors reported that when the data from trials evaluating ACEIs and ARBs are combined, higher doses showed a reduced risk of all-cause mortality, but no difference in hospitalizations for HF or discontinuations due to adverse effects when compared to lower doses [25] Our meta-analysis included 4 additional trials not included in the Khan meta-analysis. In our post-hoc analysis pooling ACEIs plus ARBs for the outcome of all-cause mortality, we did not find a statistically significant difference between higher and lower doses. However, our results are quantitatively nearly identical (confidence interval 0.89–1.01 versus 0.89–1.00), and the apparent difference in the report of findings can be solely explained by dogmatic adherence to arbitrary dichotomous statistical significant thresholds.[26] Finally, for safety outcomes we used fixed-effects meta-analyses to minimize type 2 error which might account for some of the differences reported.

Applying the evidence

Given that the benefit of ACEIs, ARBs and BBs accrue over months, yet adverse effects typically occur early after starting or increasing doses, clinicians should initiate these agents at a low dose and titrate them gradually while assessing tolerability. American and Canadian HFrEF guidelines recommend this approach, with a goal of titrating the dose every 2–4 weeks as an outpatient to target doses used in the landmark placebo-controlled trials.[1],[2] Missing from these guidelines, however, is a discussion of the benefits and harms of dose titration. Ideally, HF guidelines would stress the important role that shared decision-making plays in this process, particularly when a patient experiences adverse effects and must decide on the value of maintaining their current dose or continuing to up-titrate. Clinicians can use the results of this review, as summarized in Table 2, to discuss what is known about the benefits and harms of higher versus lower doses of these agents, as well areas of uncertainty about clinically-important outcomes.

Limitations

Our meta-analysis has limitations stemming primarily from the included trials. First, included trials did not always report all outcomes of interest, especially for BBs, limiting available data and decreasing the certainty in pooled estimates. Furthermore, trials seldom reported the definitions for adverse effects such as hypotension and increase in serum creatinine, and it is therefore difficult to put their clinical significance into context without knowledge of their severity or consequence. Second, the ranges of doses studied varied widely between trials, limiting our ability to evaluate any specific dose intensity or compare lower doses to “target doses” recommended by guidelines. Additionally, for trials evaluating more than two dosages, we selected the highest and lowest daily doses for the intervention and control group, respectively, for our analyses. For instance, in one trial the higher-dose arm received enalapril 10 mg daily, which is a quarter of the maximum approved dose for this indication (40 mg) and half the recommended target dose, whereas in another the lower-dose arm received enalapril 20 mg daily (the recommended target dose) and the higher-dose arm received 60 mg daily (triple the target dose). Finally, we could not reliably assess for publication bias as there were too few studies (<10 trials) in each meta-analysis.[24]

Conclusion

Evidence comparing lower and higher doses of drugs in HFrEF is sparse and imprecise. Higher doses of ACEIs and ARBs reduce the risk of HF worsening compared to lower doses, and higher doses of ARBs also reduce the risk of HF hospitalization. Effects of higher versus lower doses of these agents on other outcomes, as well as the impact of higher versus lower doses of BBs on any efficacy outcome, remain unclear. Higher doses importantly increase the risk of hypotension and agent-specific adverse effects (e.g. hyperkalemia, cough, creatinine rise) compared to lower doses. These results reinforce recommendations to start these agents at low doses, involve patients in dose titration decisions, carefully monitor for adverse effects after dose changes, and not be averse to lowering doses when tolerability issues arise. (DOCX) Click here for additional data file.
  25 in total

1.  GRADE guidelines: 3. Rating the quality of evidence.

Authors:  Howard Balshem; Mark Helfand; Holger J Schünemann; Andrew D Oxman; Regina Kunz; Jan Brozek; Gunn E Vist; Yngve Falck-Ytter; Joerg Meerpohl; Susan Norris; Gordon H Guyatt
Journal:  J Clin Epidemiol       Date:  2011-01-05       Impact factor: 6.437

Review 2.  The effects of angiotensin-receptor blockers on mortality and morbidity in heart failure: a systematic review.

Authors:  M C Shibata; R T Tsuyuki; N Wiebe
Journal:  Int J Clin Pract       Date:  2008-09       Impact factor: 2.503

3.  Clinical outcome with enalapril in symptomatic chronic heart failure; a dose comparison. The NETWORK Investigators.

Authors: 
Journal:  Eur Heart J       Date:  1998-03       Impact factor: 29.983

4.  Effects of two different enalapril dosages on clinical, haemodynamic and neurohumoral response of patients with severe congestive heart failure.

Authors:  R Pacher; B Stanek; S Globits; R Berger; M Hülsmann; M Wutte; B Frey; M Schuller; E Hartter; E Ogris
Journal:  Eur Heart J       Date:  1996-08       Impact factor: 29.983

5.  Beta-blockers in congestive heart failure. A Bayesian meta-analysis.

Authors:  J M Brophy; L Joseph; J L Rouleau
Journal:  Ann Intern Med       Date:  2001-04-03       Impact factor: 25.391

6.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

7.  Effects of high-dose versus low-dose losartan on clinical outcomes in patients with heart failure (HEAAL study): a randomised, double-blind trial.

Authors:  Marvin A Konstam; James D Neaton; Kenneth Dickstein; Helmut Drexler; Michel Komajda; Felipe A Martinez; Gunter A J Riegger; William Malbecq; Ronald D Smith; Soneil Guptha; Philip A Poole-Wilson
Journal:  Lancet       Date:  2009-11-16       Impact factor: 79.321

8.  Low-dose carvedilol improves left ventricular function and reduces cardiovascular hospitalization in Japanese patients with chronic heart failure: the Multicenter Carvedilol Heart Failure Dose Assessment (MUCHA) trial.

Authors:  Masatsugu Hori; Shigetake Sasayama; Akira Kitabatake; Teruhiko Toyo-oka; Shunnosuke Handa; Mitsuhiro Yokoyama; Masunori Matsuzaki; Akira Takeshita; Hideki Origasa; Kennichi Matsui; Saichi Hosoda
Journal:  Am Heart J       Date:  2004-02       Impact factor: 4.749

9.  High- versus low-dose ACE inhibition in chronic heart failure: a double-blind, placebo-controlled study of imidapril.

Authors:  D J van Veldhuisen; S Genth-Zotz; J Brouwer; F Boomsma; T Netzer; A J Man In 'T Veld; Y M Pinto; K I Lie; H J Crijns
Journal:  J Am Coll Cardiol       Date:  1998-12       Impact factor: 24.094

10.  Dose-response of chronic beta-blocker treatment in heart failure from either idiopathic dilated or ischemic cardiomyopathy. Bucindolol Investigators.

Authors:  M R Bristow; J B O'Connell; E M Gilbert; W J French; G Leatherman; N E Kantrowitz; J Orie; M L Smucker; G Marshall; P Kelly
Journal:  Circulation       Date:  1994-04       Impact factor: 29.690

View more
  9 in total

Review 1.  Efficacy and toxicity of antihypertensive pharmacotherapy relative to effective dose 50.

Authors:  Simon B Dimmitt; Hans G Stampfer; Jennifer H Martin; Robin E Ferner
Journal:  Br J Clin Pharmacol       Date:  2019-08-19       Impact factor: 4.335

Review 2.  Why maximum tolerated dose?

Authors:  Hans G Stampfer; Genevieve M Gabb; Simon B Dimmitt
Journal:  Br J Clin Pharmacol       Date:  2019-07-22       Impact factor: 4.335

Review 3.  Hyperkalemia and Renin-Angiotensin-Aldosterone System Inhibitors Dose Therapy in Heart Failure With Reduced Ejection Fraction.

Authors:  Giuseppe Mc Rosano; Ilaria Spoletini; Cristiana Vitale; Stefan Agewall
Journal:  Card Fail Rev       Date:  2019-11-04

4.  Guideline-directed medical therapy in elderly patients with heart failure with reduced ejection fraction: a cohort study.

Authors:  Won-Woo Seo; Jin Joo Park; Hyun Ah Park; Hyun-Jai Cho; Hae-Young Lee; Kye Hun Kim; Byung-Su Yoo; Seok-Min Kang; Sang Hong Baek; Eun-Seok Jeon; Jae-Joong Kim; Myeong-Chan Cho; Shung Chull Chae; Byung-Hee Oh; Dong-Ju Choi
Journal:  BMJ Open       Date:  2020-02-06       Impact factor: 2.692

5.  Evaluation of the prescribing practice of guideline-directed medical therapy among ambulatory chronic heart failure patients.

Authors:  Daya Ram Parajuli; Sepehr Shakib; Joanne Eng-Frost; Ross A McKinnon; Gillian E Caughey; Dean Whitehead
Journal:  BMC Cardiovasc Disord       Date:  2021-02-18       Impact factor: 2.298

Review 6.  A Shared Nephroprotective Mechanism for Renin-Angiotensin-System Inhibitors, Sodium-Glucose Co-Transporter 2 Inhibitors, and Vasopressin Receptor Antagonists: Immunology Meets Hemodynamics.

Authors:  Giovanna Capolongo; Giovambattista Capasso; Davide Viggiano
Journal:  Int J Mol Sci       Date:  2022-04-01       Impact factor: 5.923

Review 7.  In-hospital Initiation and Up-titration of Guideline-directed Medical Therapies for Heart Failure with Reduced Ejection Fraction.

Authors:  Zachary L Cox; Shuktika Nandkeolyar; Andrew J Johnson; JoAnn Lindenfeld; Aniket S Rali
Journal:  Card Fail Rev       Date:  2022-06-24

8.  Risk-Benefit Balance of Renin-Angiotensin-Aldosterone Inhibitor Cessation in Heart Failure Patients with Hyperkalemia.

Authors:  Shun Kohsaka; Suguru Okami; Naru Morita; Toshitaka Yajima
Journal:  J Clin Med       Date:  2022-09-30       Impact factor: 4.964

9.  Protective Role of Enalapril in Anthracycline-Induced Cardiotoxicity: A Systematic Review.

Authors:  Yili Zhang; Junjie Liu; Yuan Li; Nannan Tan; Kangjia Du; Huihui Zhao; Juan Wang; Jian Zhang; Wei Wang; Yong Wang
Journal:  Front Pharmacol       Date:  2020-05-27       Impact factor: 5.810

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.