Literature DB >> 25784798

Impact of β-blocker selectivity on long-term outcomes in congestive heart failure patients with chronic obstructive pulmonary disease.

Yoshiaki Kubota1, Kuniya Asai1, Erito Furuse1, Shunichi Nakamura1, Koji Murai1, Yayoi Tetsuou Tsukada1, Wataru Shimizu1.   

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is present in approximately one-third of all congestive heart failure (CHF) patients, and is a key cause of underprescription and underdosing of β-blockers, largely owing to concerns about precipitating respiratory deterioration. For these reasons, the aim of this study was to evaluate the impact of β-blockers on the long-term outcomes in CHF patients with COPD. In addition, we compared the effects of two different β-blockers, carvedilol and bisoprolol.
METHODS: The study was a retrospective, non-randomized, single center trial. Acute decompensated HF patients with COPD were classified according to the oral drug used at discharge into β-blocker (n=86; carvedilol [n=52] or bisoprolol [n=34]) and non-β-blocker groups (n=46). The primary endpoint was all-cause mortality between the β-blocker and non-β-blocker groups during a mean clinical follow-up of 33.9 months. The secondary endpoints were the differences in all-cause mortality and the hospitalization rates for CHF and/or COPD exacerbation between patients receiving carvedilol and bisoprolol.
RESULTS: The mortality rate was higher in patients without β-blockers compared with those taking β-blockers (log-rank P=0.039), and univariate analyses revealed that the use of β-blockers was the only factor significantly correlated with the mortality rate (hazard ratio: 0.41; 95% confidence interval: 0.17-0.99; P=0.047). Moreover, the rate of CHF and/or COPD exacerbation was higher in patients treated with carvedilol compared with bisoprolol (log-rank P=0.033). In the multivariate analysis, only a past history of COPD exacerbation significantly increased the risk of re-hospitalization due to CHF and/or COPD exacerbation (adjusted hazard ratio: 3.11; 95% confidence interval: 1.47-6.61; P=0.003).
CONCLUSION: These findings support the recommendations to use β-blockers in HF patients with COPD. Importantly, bisoprolol reduced the incidence of CHF and/or COPD exacerbation compared with carvedilol.

Entities:  

Keywords:  mortality; selective β-blocker

Mesh:

Substances:

Year:  2015        PMID: 25784798      PMCID: PMC4356705          DOI: 10.2147/COPD.S79942

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

Chronic obstructive pulmonary disease (COPD) is present in approximately one-third of all congestive heart failure (CHF) patients, and is a key cause of underprescription and underdosing of β-blockers, owing largely to concerns about precipitating respiratory deterioration in these patients.1–4 Despite increasing evidence that β-blockers are safe and could be beneficial in patients with COPD, most large-scale CHF trials exclude patients with COPD.5 The National Institute for Health and Care Excellence and European Society of Cardiology guidelines state that COPD is not a contraindication to the use of β-blockers, and mild deterioration in pulmonary function and symptoms should not result in prompt discontinuation. Low-dose initiation and gradual uptitration is recommended.6,7 In addition, some studies have suggested differences in the pulmonary effects between cardioselective and non-cardioselective β-blockers, but the results of these studies are not fully conclusive.8–13 Of the β-blocker class of drugs, carvedilol is a non-selective β-adrenergic receptor (AR) blocker that also blocks α1-AR signaling and that has been shown to improve the state of HF patients in many studies.14–18 However, some patients are not able to continue or uptitrate the drug because of various adverse symptoms and signs, which seem to be mainly related to the β2-AR blocking effect. On the other hand, bisoprolol, a highly selective β1-AR blocker, has also been shown to be effective for HF patients in several studies.19–21 Although it has been reported that cardioprotective β-blockers do not worsen the pulmonary function in CHF patients with COPD, the impact of β-blocker selectivity on the long-term outcomes has not yet been well evaluated in these patients. In a sub-analysis of the OPTIMIZE-HF study, patients receiving non-cardioselective β-blockers were found to have a lower event rate compared to patients receiving cardioselective β-blockers.22 Thus, taking this into consideration, the aim of the present study was to evaluate the impact of β-blockers on the long-term outcomes in HF patients with COPD. In addition, we also compared the effects of carvedilol and bisoprolol in this patient population.

Materials and methods

Study design

This study was a retrospective, non-randomized, single center trial based on data collected over a 48-month period (January 1, 2009 to December 31, 2012) from 212 consecutive acute decompensated HF patients with COPD who were admitted to our hospital with HF categorized as New York Heart Association Class 3 or 4. Patients with acute coronary syndromes (n=34), including acute myocardial infarction, or with end-stage renal disease that required dialysis therapy (n=14) as well as patients who did not finish the treatment course after discharge (n=32) were excluded from the study. The diagnosis of HF was made on the basis of the criteria recommended in the Framingham Heart Study.23 The diagnosis of COPD was made on the basis of the global initiative for chronic obstructive lung disease criteria.24 At the time of registration, the COPD of all patients was in the stable phase. Finally, of the identified 212 patients, 132 met all inclusion criteria and were enrolled in this study. The patients were divided into two groups according to the agents administered after admission and followed-up for a mean period of 33.9 months. The first group was treated without any β-blockers (non-β-blocker group, n=46), whereas the second group was administered β-blockers before discharge (β-blocker group, n=86; carvedilol [n=52] or bisoprolol [n=34]). After discharge, the patients continued treatment with either carvedilol or bisoprolol, with the dose being carefully increased to tolerance. The subjects were followed-up at intervals of 1–2 months in the outpatient department of our hospital from January 2009 through December 2013. The patients’ health status was checked during each follow-up, and was recorded using electronic clinical records; furthermore, all-cause death and hospitalization due to CHF and/or COPD exacerbation were also verified using these electronic clinical records. This retrospective study was conducted using data from a large university hospital. The protocol used complies with the Declaration of Helsinki and was approved by our Institutional Ethics Committee, which waived the need for patient consent because of the retrospective nature of the study.

Relevant factors

The heart rate (HR) and systolic blood pressure (SBP) were measured at rest, simultaneously with the electrocardiogram measurements. Height and weight were measured at the time of discharge, and the body mass index (kg/m2) was calculated as an index of obesity. Hypertension was defined as an SBP of 140 mmHg or greater, a diastolic blood pressure of 90 mmHg or greater, or the current use of antihypertensive agents. Chronic kidney disease was defined as a glomerular filtration rate (GFR) ≤60 mL/min/1.73 m2. The GFR was estimated using the simplified prediction equation derived from the Modification of Diet in a Renal Disease study.25 During each echocardiographic study, the left ventricular ejection fraction (LVEF) was calculated using the modified Simpson’s method. The tricuspid regurgitation velocity was obtained by continuous wave Doppler from the right ventricular inflow or the apical four-chamber view position. The tricuspid regurgitation pressure gradient (TRPG) was calculated as follows: TRPG =4× tricuspid regurgitation velocity.2 Clinical data were obtained just prior to discharge when the hemodynamic conditions of the patients had stabilized. Twelve months after the treatment initiation, all parameters were re-measured and compared with the initial data. The primary endpoint was the differences in all-cause mortality between the β-blocker use and non-use groups during the mean clinical follow-up of 33.9 months. The secondary endpoints were the differences in composite events, including the all-cause mortality and hospitalization rates for CHF and/or COPD exacerbation, between patients receiving carvedilol and bisoprolol.

Statistical analysis

The SPSS software package Version 20.0 (IBM Corporation, Armonk, NY, USA) was used for the statistical analyses. All continuous values are expressed as means ± standard deviations, and data of categorical variables are expressed as the number and percentage of patients. Survival and cardiac event-free curves were created using the Kaplan–Meier method, and differences in the survival and cardiac event-free rates among the groups were analyzed using the log-rank test. The relative risks in each group were calculated using Cox regression analyses, and P-values of less than 0.05 were considered statistically significant.

Results

We divided the patients into two groups according to whether a β-blocker was prescribed at discharge or not (β-blocker group, n=86; non-β-blocker group, n=46). The baseline characteristics of the patients are shown in Table 1. There were no significant differences between the two groups in terms of age, sex, prevalence of hypertension, atrial fibrillation, chronic kidney disease or ischemic heart disease, brain natriuretic peptide (BNP) levels, forced expiratory volume in 1 second (FEV1), or medical treatment at the time of discharge. However, patients not receiving β-blockers had a significantly higher HR at the 1-year follow-up compared with patients receiving β-blockers. In the β-blocker group, 52 patients (60.5%; mean dose: 6.69 mg/day) received carvedilol at discharge, whereas 34 patients (39.5%; mean dose: 2.96 mg/day) received bisoprolol. Regarding the different β-blockers, the clinical characteristics, excluding the HR and LVEF, did not significantly differ between the carvedilol and bisoprolol groups (Table 1). Higher HR and ejection fraction (EF) were observed in the patients receiving bisoprolol. The mean baseline FEV1 values were 1.70 L and 1.52 L in patients receiving carvedilol and bisoprolol, respectively (P=0.344).
Table 1

Clinical characteristics of the study population

Variablesβ-blocker use (n=86)No β-blocker (n=46)P-valueCarvedilol (n=52)Bisoprolol (n=34)P-value
Age (years)78.5±.679.5±9.20.51378.2±8.279.1±6.50.615
Male sex (%)90.978.60.06091.689.70.770
BMI (kg/m220.9±3.820.4±3.30.50221.2±3.120.5±4.60.403
SBP (mmHg)123.0±19.5129.5±27.30.207122.5±16.8123.5±17.70.863
HR (bpm, baseline)80.0±11.986.0±18.10.18375.9±13.384.1±10.50.048
HR (bpm, at 1 year)70.4±10.185.0±14.10.02370.6±9.770.3±10.30.909
IHD (%)38.134.20.44544.431.80.349
Hypertension (%)62.352.60.34860.066.70.617
AF (%)43.358.80.15242.544.10.857
CKD (%)64.150.00.29068.057.10.511
EF (%)45.8±18.745.2±17.70.32338.2±15.154.3±16.50.002
TRPG (mmHg)38.0±21.536.4±11.90.83532.2±15.243.9±27.60.485
BNP (pg/mL)307.3±242306.1±2290.056300.9±182313.7±2920.850
FEV1 (L, baseline)1.61±0.571.53±0.610.6941.70±0.561.52±0.580.344
GOLD 3,4 (%)30.937.00.58925.736.90.400
ACE-I or ARB (%)70.367.60.56280.660.00.099
Inhaled tiotropium (%)35.937.80.65929.742.10.364

Note: Values are presented as means ± SD, unless otherwise specified.

Abbreviations: BMI, body mass index; SBP, systolic blood pressure; HR, heart rate; IHD, ischemic heart disease; AF, atrial fibrillation; CKD, chronic kidney disease; EF, ejection fraction; TRPG, tricuspid regurgitation pressure gradient; BNP, brain natriuretic peptide; FEV1, forced expiratory volume in 1 second; GOLD, global initiative for chronic obstructive lung disease; ACE-I, angiotensin converting enzyme inhibitor; ARB, angiotensin II receptor blocker.

Clinical outcomes

During the mean follow-up period of 33.9 months, the primary endpoint event (all-cause mortality) occurred in 9 patients (10.5%) in the β-blocker group and 12 patients (26.1%) in the non-β-blocker group (log-rank P=0.039) (Figure 1). β-blocker therapy significantly reduced the risk of all-cause death in the univariate analysis (unadjusted hazard ratio [HR]: 0.41; 95% confidence interval [CI]: 0.17–0.99; P=0.047) (Table 2). However, no significant association was observed between β-blocker use and all-cause mortality in the multivariate analysis (Table 2). Evaluation of the causes of death revealed that in the non-β-blocker group, six, three, two, and one patients died of infection-unrelated COPD exacerbation, COPD exacerbation, sudden cardiac death, and acute HF, respectively. In the β-blocker group, three, two, two, and two patients died of infection-unrelated COPD exacerbation, COPD exacerbation, sudden cardiac death, and acute HF, respectively. The percentages of each cause of death did not significantly differ between the two treatment groups.
Figure 1

Cumulative incidence of all-cause death.

Note: During the mean follow-up period of 33.9 months, the mortality was higher in heart failure and COPD patients treated without vs with β-blockers (log-rank P=0.039).

Abbreviation: COPD, chronic obstructive pulmonary disease.

Table 2

HRs for the risk of all-cause mortality

Unadjusted HR (95% CI)P-valueAdjusted HR (95% CI)P-value
Age0.99 (0.95–1.05)0.978
Male sex0.98 (0.23–4.28)0.988
BMI0.97 (0.85–1.10)0.6520.94 (0.78–1.12)0.478
Hypertension2.59 (0.90–7.46)0.0772.25 (0.82–6.21)0.118
Atrial fibrillation2.98 (0.94–9.39)0.0632.32 (0.78–6.89)0.130
β-blockers0.41 (0.17–0.99)0.0470.46 (0.19–1.11)0.087
BNP (≥300 pg/mL)0.74 (0.17–3.32)0.6960.71 (0.29–6.36)0.708
EF (<40%)1.59 (0.42–6.04)0.4791.66 (0.41–6.70)0.472
ACE-I or ARB0.56 (0.21–1.52)0.2550.57 (0.21–1.56)0.277
GOLD 3,40.82 (0.35–1.92)0.6520.75 (0.31–1.80)0.511
Past history of COPD exacerbation1.59 (0.84–3.02)0.1581.82 (0.90–3.67)0.093
Inhaled tiotropium0.42 (0.15–1.15)0.0900.42 (0.15–1.18)0.099

Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; BNP, brain natriuretic peptide; EF, ejection fraction; ACE-I, angiotensin I converting enzyme inhibitor; ARB, angiotensin II receptor blocker; GOLD, global initiative for chronic obstructive lung disease; COPD, chronic obstructive pulmonary disease.

The secondary endpoint events occurred in 35 patients (67.3%) in the carvedilol group and 9 patients (26.5%) in the bisoprolol group (log-rank P=0.112) (Figure 2). CHF and/or COPD exacerbation occurred in 29 patients (55.8%) in the carvedilol group and 6 patients (17.6%) in the bisoprolol group (log-rank P=0.033) (Figure 3). The rate of all-cause death did not significantly differ between the two groups (11.5% vs 8.8% in the carvedilol vs bisoprolol groups, data not shown). Univariate Cox regression analysis revealed that bisoprolol significantly reduced the risk of re-hospitalization due to CHF and/or COPD exacerbation (unadjusted HR: 0.38; 95% CI: 0.15–0.98; P=0.046) but carvedilol did not (Table 3). In the multivariate analysis, only a past history of COPD exacerbation significantly increased the risk of re-hospitalization due to CHF and/or COPD exacerbation (adjusted HR: 3.11; 95% CI: 1.47–6.61; P=0.003) (Table 3). Table 4 presents the values of SBP, HR, LVEF, TRPG, BNP levels, and estimated GFR at baseline and at the 1-year follow-up. The 1-year changes in SBP, LVEF, TRPG, BNP levels, and estimated GFR were not significantly different between the two groups. However, the decrease in HR was greater in the bisoprolol group than in the carvedilol group.
Figure 2

Cumulative incidence of all-cause death and CHF/COPD exacerbation.

Note: No significant difference was observed between the carvedilol and bisoprolol groups (log-rank P=0.112).

Abbreviations: CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease.

Figure 3

Cumulative incidence of CHF or COPD exacerbation.

Note: The event rate was higher in patients treated with carvedilol compared with those with bisoprolol (log-rank P=0.033).

Abbreviations: CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease.

Table 3

HRs for the risk of COPD or CHF exacerbation

Unadjusted HR (95% CI)P-valueAdjusted HR (95% CI)P-value
Age1.03 (0.97–1.09)0.363
Male sex0.76 (0.23–2.54)0.660
BMI0.95 (0.87–1.04)0.2490.89 (0.72–1.10)0.092
Hypertension2.05 (0.84–5.00)0.1141.47 (0.63–3.43)0.379
Atrial fibrillation0.90 (0.39–2.07)0.8090.83 (0.36–1.91)0.656
Bisoprolol0.38 (0.15–0.98)0.0460.47 (0.18–1.24)0.126
BNP (≥300 pg/mL)2.12 (0.76–5.82)0.1471.91 (0.69–5.30)0.215
EF (<40%)2.09 (0.79–5.52)0.1362.10 (0.79–5.54)0.135
ACE-I or ARB0.71 (0.25–2.02)0.5230.51 (0.20–1.30)0.157
GOLD 3,40.75 (0.26–2.22)0.6070.62 (0.20–1.94)0.414
Past history of COPD exacerbation2.51 (1.27–4.97)0.0083.11 (1.47–6.61)0.003
Inhaled tiotropium0.94 (0.49–1.83)0.8630.99 (0.50–1.97)0.974

Abbreviations: HR, hazard ratio; COPD, chronic obstructive pulmonary disease; CHF, congestive heart failure; CI, confidence interval; BMI, body mass index; BNP, brain natriuretic peptide; EF, ejection fraction; ACE-I, angiotensin I converting enzyme inhibitor; ARB, angiotensin II receptor blocker; GOLD, global initiative for chronic obstructive lung disease.

Table 4

Changes of the factors associated with heart failure

VariablesCarvedilol
P-valueBisoprolol
P-value
BaselineFollow-upBaselineFollow-up
SBP (mmHg)122.5±16.8120.3±10.70.652123.5±17.7121.4±11.40.698
Heart rate (bpm)75.9±13.370.6±9.70.12284.1±10.570.3±10.3<0.05
Data
 eGFR (mL/min/1.73 m2)54.5±21.149.6±23.30.53356.8±13.251.1±14.40.364
 BNP (pg/mL)300.9±181.8248.0±273.80.547313.7±291.8230.7±224.80.421
TTE
 EF Simpson (%)38.2±15.141.8±11.40.20054.3±16.557.1±18.80.870
 TRPG (mmHg)32.2±15.230.2±7.30.43743.9±27.641.6±12.70.756

Note: Values are presented as means ± SD, unless otherwise specified.

Abbreviations: SBP, systolic blood pressure; eGFR, estimated glomerular filtration rate; BNP, brain natriuretic peptide; TTE, trans-thoracic echocardiogram; EF, ejection fraction; TRPG, tricuspid regurgitation pressure gradient.

Discussion

In the present study, we examined the effects of β-blockers in patients with HF and COPD. Approximately, 70% of the HF patients with COPD had received β-blockers, and these were found to significantly reduce the all-cause mortality. Moreover, the baseline HR and EF before β-blocker administration were found to be higher in patients receiving bisoprolol compared with patients receiving carvedilol, whereas re-hospitalization due to CHF and/or COPD exacerbation occurred less frequently in patients receiving bisoprolol compared to patients receiving carvedilol. Up to one-third of all deaths in patients with COPD can be attributable to cardiovascular disease, and, for every 10%-decrease in the FEV1, the risk of cardiovascular mortality reportedly increases by 28%.26–28 The mechanistic links between COPD and cardiovascular disease are complex, multifactorial, and not entirely understood. Hyperinflation and increased falls in the intrathoracic pressure might compromise the ventricular preload and afterload, consequently leading to left ventricular dysfunction and acute heart failure. As most of these factors occur concurrently at the moment of acute exacerbation, these episodes are often associated with major cardiovascular events and high mortality.29 Despite increasing evidence that β-blockers are safe30,31 and can be beneficial in patients with COPD, their use continues to be limited in this group. This is a worldwide phenomenon32 and might be related to historical concerns that β-blockers could be harmful in patients with COPD, for example, by inducing bronchospasm. Such concerns, however, have been challenged by recent evidence,33 with several recent studies having advanced arguments in support of the use of β-blockers for COPD patients.34–38 One of these studies showed that β-blockers might reduce the risk of mortality and exacerbations in patients with COPD.34 Similarly, a systematic review and meta-analysis of nine retrospective cohort studies reported a reduction in COPD-related mortality of 31% after β-blocker use,39 and yet another study clearly showed the safety of β-blockers during COPD exacerbations.32 Moreover, the use of β-blockers when started either at the time of hospital admission for myocardial infarction or before a myocardial infarction has been demonstrated to be associated with improved survival after myocardial infarction in patients with COPD.40 In our study, similar to in these previous reports, β-blocker use was found to be associated with lower mortality compared to non-β-blocker use in CHF patients with COPD. Receiving β-blockers decreases the mortality rate through lowering the HR and through their sympatholytic effects,41 and β-blockers might benefit patients with HF and COPD, not only because of their effect on the CHF but also because they can affect the course of the COPD itself. Regarding the different types of β-blockers, we here compared carvedilol, a typical non-selective β-adrenergic, and α1-AR blocker with bisoprolol, a typical highly selective β1-AR blocker, in order to determine which β-blocker is more appropriate for HF and COPD patients, a question that remains controversial. Bisoprolol is highly β1-selective, providing a wide split between the β1- and β2-adrenocepter blockades.42,43 Further, bisoprolol has recently been shown to be safe in patients with COPD. In a Cochrane database analysis, cardioselective β-blockers were demonstrated to not adversely affect the FEV1, respiratory symptoms, or the response of FEV1 to β2 agonists.44 Conversely, it has been reported that carvedilol may aggravate pulmonary complications through blocking of the β2 receptors, and its effects markedly differ between individuals due to different genetic polymorphisms, as compared with bisoprolol.45–47 Accordingly, switching from carvedilol to bisoprolol may provide beneficial effects with regard to the prognosis and/or reverse remodeling in patients who experience difficulty with the continuation or uptitration of carvedilol due to adverse effects such as dizziness or hypotension.48,49 Several studies have shown that the mortality benefits of carvedilol and other β-blockers are dose dependent,14,18,50 and the dose of carvedilol is moreover considered important for the management of cardiac sympathetic nerve activity.51 Cardioselective β-blockers are also dose dependent,5 and it is also recommended to use β-blockers that are more selective for the β1-AR but without intrinsic sympathomimetic activity at the lowest dose and to titrate them slowly, while paying close attention to lung function and symptoms.52 The doses of the two β-blockers used in our study were lower than the doses commonly used in many large-scale trials. However, trials on Japanese patients with HF have indicated that the BP and HR can be adequately decreased with the use of low doses of carvedilol and bisoprolol.18,53 These differences in the doses administered to Japanese patients and patients of other nationalities may be related to the pharmacological heterogeneity of β-blockers. Furthermore, bisoprolol is less likely to cause bronchospasm compared to non-selective β-blockers,9 and the risk of bronchospasm can be further reduced by starting the β-blockers at a lower dose and slowly titrating up. In our study, the reduction in HR was more prominent in the bisoprolol group than in the carvedilol group at the 1-year follow-up. This result suggests that bisoprolol has a greater ability to suppress the HR of patients with HF and COPD than carvedilol, as the former is a highly selective β1-AR blocker. In addition, treatment with bisoprolol was also associated with a significantly reduced risk of re-hospitalization due to CHF and/or COPD exacerbation. On the other hand, in the sub-analysis of the OPTIMIZE-HF study, patients receiving non-cardioselective β-blockers had a lower event rate compared to patients receiving cardioselective β-blockers.22 However, it should be noted that, compared to the OPTIMIZE-HF study, the sample size and number of events of this study were relatively small, and re-hospitalization due to COPD exacerbation was also included in the analyzed events, owning to difficulty in distinguishing CHF from COPD exacerbation. Furthermore, only bisoprolol was used as the cardioselective β-blocker in this study, whereas several different selective β-blockers were used in the OPTIMIZE-HF study. Further, our results suggested that low doses of bisoprolol could also reduce the all-cause mortality in patients with HF and COPD, and it was moreover found to be associated with a significantly reduced risk of re-hospitalization due to CHF and/or COPD exacerbation compared with carvedilol. However, further prospective randomized controlled studies are needed to confirm our results and before initiation of β-blocker therapy to achieve a mortality benefit in COPD patients can be widely recommended.

Study limitations

The main limitations of the present study were the relatively small number of enrolled patients and the retrospective study design. Moreover, the β-blockers were prescribed at discharge for the β-blocker group; at this time, the use of β-blockers was left at the discretion of the treating physicians. Therefore, the beneficial effects of the β-blockers in the present study can only be attributable to the time period of discharge, and we could not exclude the possibility that the addition and selection of the two β-blockers were made on the basis of the clinical status of the patients. The baseline EF was higher in patients receiving bisoprolol compared with patients receiving carvedilol; however, the EF did not significantly correlate with the incidence of CHF or COPD exacerbation in our study. Lastly, regarding the two β-blockers used in this study, different doses were prescribed, given that the equivalent dose of bisoprolol is only one-fifth that of carvedilol.54,55 Although most confounders were included in the multivariate regression analysis, it is nonetheless possible that some potential bias exists, and large-scale, prospective randomized controlled trials are needed in the future to clarify the effects of β-blockers in patients with HF and COPD.

Conclusion

Our findings support the recommendations to use β-blockers in HF patients with COPD. The use of a selective β-blocker reduced the incidence of CHF and/or COPD exacerbation compared with non-selective β-blocker use in the univariate analyses in the present study; however, after controlling for other variables, the effect of β-blockers ceased to be significant. Further studies with longer duration and larger numbers of HF and COPD patients are needed to confirm whether there are any differences between the effects of the two types of β-blockers on HF and COPD improvement.
  55 in total

1.  Differences between bisoprolol and carvedilol in patients with chronic heart failure and chronic obstructive pulmonary disease: a randomized trial.

Authors:  Mitja Lainscak; Matej Podbregar; Dragan Kovacic; Janez Rozman; Stephan von Haehling
Journal:  Respir Med       Date:  2011-10       Impact factor: 3.415

2.  Switching from carvedilol to bisoprolol ameliorates adverse effects in heart failure patients with dizziness or hypotension.

Authors:  Tatsunori Taniguchi; Tomohito Ohtani; Isamu Mizote; Machiko Kanzaki; Yasuhiro Ichibori; Hitoshi Minamiguchi; Yoshihiro Asano; Yasushi Sakata; Issei Komuro
Journal:  J Cardiol       Date:  2013-03-31       Impact factor: 3.159

Review 3.  Heart failure and chronic obstructive pulmonary disease the quandary of Beta-blockers and Beta-agonists.

Authors:  Nathaniel M Hawkins; Mark C Petrie; Michael R Macdonald; Pardeep S Jhund; Leonardo M Fabbri; John Wikstrand; John J V McMurray
Journal:  J Am Coll Cardiol       Date:  2011-05-24       Impact factor: 24.094

4.  Use of cardioselective β-blockers in patients with chronic obstructive pulmonary disease: a meta-analysis of randomized, placebo-controlled, blinded trials.

Authors:  Y Ni; G Shi; H Wan
Journal:  J Int Med Res       Date:  2012       Impact factor: 1.671

5.  β-Blocker use and incidence of chronic obstructive pulmonary disease exacerbations.

Authors:  Michelle Z Farland; Cassey J Peters; Juli D Williams; Kenneth M Bielak; R Eric Heidel; Shaunta' M Ray
Journal:  Ann Pharmacother       Date:  2013-04-12       Impact factor: 3.154

6.  Association of beta-blocker use and selectivity with outcomes in patients with heart failure and chronic obstructive pulmonary disease (from OPTIMIZE-HF).

Authors:  Robert J Mentz; Daniel Wojdyla; Mona Fiuzat; Karen Chiswell; Gregg C Fonarow; Christopher M O'Connor
Journal:  Am J Cardiol       Date:  2012-11-29       Impact factor: 2.778

7.  Association between β-blocker therapy and outcomes in patients hospitalised with acute exacerbations of chronic obstructive lung disease with underlying ischaemic heart disease, heart failure or hypertension.

Authors:  Mihaela S Stefan; Michael B Rothberg; Aruna Priya; Penelope S Pekow; David H Au; Peter K Lindenauer
Journal:  Thorax       Date:  2012-08-31       Impact factor: 9.139

8.  Titration to target dose of bisoprolol vs. carvedilol in elderly patients with heart failure: the CIBIS-ELD trial.

Authors:  Hans-Dirk Düngen; Svetlana Apostolovic; Simone Inkrot; Elvis Tahirovic; Agnieszka Töpper; Felix Mehrhof; Christiane Prettin; Biljana Putnikovic; Aleksandar N Neskovic; Mirjana Krotin; Dejan Sakac; Mitja Lainscak; Frank Edelmann; Rolf Wachter; Thomas Rau; Thomas Eschenhagen; Wolfram Doehner; Stefan D Anker; Finn Waagstein; Christoph Herrmann-Lingen; Goetz Gelbrich; Rainer Dietz
Journal:  Eur J Heart Fail       Date:  2011-03-23       Impact factor: 15.534

9.  Impact of beta2-agonists, beta-blockers, and their combination on cardiac function in elderly male patients with chronic obstructive pulmonary disease.

Authors:  Long-Huan Zeng; Yi-Xin Hu; Lin Liu; Meng Zhang; Hua Cui
Journal:  Clin Interv Aging       Date:  2013-09-10       Impact factor: 4.458

Review 10.  Beta-blocker use and COPD mortality: a systematic review and meta-analysis.

Authors:  Mahyar Etminan; Siavash Jafari; Bruce Carleton; John Mark FitzGerald
Journal:  BMC Pulm Med       Date:  2012-09-04       Impact factor: 3.317

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  13 in total

Review 1.  Management of Chronic Obstructive Pulmonary Disease in Patients with Cardiovascular Diseases.

Authors:  Mario Cazzola; Luigino Calzetta; Barbara Rinaldi; Clive Page; Giuseppe Rosano; Paola Rogliani; Maria Gabriella Matera
Journal:  Drugs       Date:  2017-05       Impact factor: 9.546

Review 2.  Therapeutic effects of the combination of inhaled beta2-agonists and beta-blockers in COPD patients with cardiovascular disease.

Authors:  Vasiliki Petta; Fotis Perlikos; Stelios Loukides; Petros Bakakos; Athanasios Chalkias; Nicoletta Iacovidou; Theodoros Xanthos; Dorothea Tsekoura; Georgios Hillas
Journal:  Heart Fail Rev       Date:  2017-11       Impact factor: 4.214

Review 3.  Paradigms in chronic obstructive pulmonary disease: phenotypes, immunobiology, and therapy with a focus on vascular disease.

Authors:  Michael Schivo; Timothy E Albertson; Angela Haczku; Nicholas J Kenyon; Amir A Zeki; Brooks T Kuhn; Samuel Louie; Mark V Avdalovic
Journal:  J Investig Med       Date:  2017-03-03       Impact factor: 2.895

4.  Exploring the kinetic selectivity of drugs targeting the β1 -adrenoceptor.

Authors:  David A Sykes; Mireia Jiménez-Rosés; John Reilly; Robin A Fairhurst; Steven J Charlton; Dmitry B Veprintsev
Journal:  Pharmacol Res Perspect       Date:  2022-08

Review 5.  Pharmacological Management of Elderly Patients with Asthma-Chronic Obstructive Pulmonary Disease Overlap Syndrome: Room for Speculation?

Authors:  Daniela Castiglia; Salvatore Battaglia; Alida Benfante; Claudio Sorino; Nicola Scichilone
Journal:  Drugs Aging       Date:  2016-06       Impact factor: 3.923

Review 6.  The Real Role of β-Blockers in Daily Cardiovascular Therapy.

Authors:  Csaba András Dézsi; Veronika Szentes
Journal:  Am J Cardiovasc Drugs       Date:  2017-10       Impact factor: 3.571

7.  Effect of beta-blockers on exacerbation rate and lung function in chronic obstructive pulmonary disease (COPD).

Authors:  Sean Duffy; Robert Marron; Helen Voelker; Richard Albert; John Connett; William Bailey; Richard Casaburi; J Allen Cooper; Jeffrey L Curtis; Mark Dransfield; MeiLan K Han; Barry Make; Nathaniel Marchetti; Fernando Martinez; Stephen Lazarus; Dennis Niewoehner; Paul D Scanlon; Frank Sciurba; Steven Scharf; Robert M Reed; George Washko; Prescott Woodruff; Charlene McEvoy; Shawn Aaron; Don Sin; Gerard J Criner
Journal:  Respir Res       Date:  2017-06-19

8.  Underuse of β-blockers in heart failure and chronic obstructive pulmonary disease.

Authors:  Brian Lipworth; Derek Skinner; Graham Devereux; Victoria Thomas; Joanna Ling Zhi Jie; Jessica Martin; Victoria Carter; David B Price
Journal:  Heart       Date:  2016-07-05       Impact factor: 5.994

9.  Chronic obstructive pulmonary disease and β-blocker treatment in Asian patients with heart failure.

Authors:  Yoshiaki Kubota; Wan Ting Tay; Kuniya Asai; Koji Murai; Ikutaro Nakajima; Nobuhisa Hagiwara; Takanori Ikeda; Takashi Kurita; Tiew-Hwa Katherine Teng; Inder Anand; Carolyn S P Lam; Wataru Shimizu
Journal:  ESC Heart Fail       Date:  2017-10-21

10.  Association of asthma-chronic obstructive pulmonary disease overlap syndrome with coronary artery disease, cardiac dysrhythmia and heart failure: a population-based retrospective cohort study.

Authors:  Jun-Jun Yeh; Yu-Feng Wei; Cheng-Li Lin; Wu-Huei Hsu
Journal:  BMJ Open       Date:  2017-10-05       Impact factor: 2.692

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