Literature DB >> 28094466

Effects of β-blockers on all-cause mortality in patients with type 2 diabetes and coronary heart disease.

Tetsuro Tsujimoto1, Takehiro Sugiyama2,3, Hiroshi Kajio1.   

Abstract

AIMS: To assess whether the use of beta-blockers influences mortality and the incidence of major cardiovascular events in patients with diabetes and coronary heart disease (CHD).
MATERIALS AND METHODS: Using data from the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial, we performed Cox proportional hazards analysis to assess the effects of β-blockers on all-cause mortality in 2244 patients with type 2 diabetes who had stable CHD with and without a history of myocardial infarction (MI)/heart failure with reduced left ventricular ejection fraction (HFrEF).
RESULTS: All-cause mortality in patients with MI/HFrEF was significantly lower in those receiving β-blockers than in those not receiving β-blockers (adjusted hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.37-0.98; P  = .04), whereas that in patients without MI/HFrEF did not significantly differ (adjusted HR 0.91, 95% CI 0.76-1.32; P  = .64). Among patients with MI/HFrEF, all-cause mortality in those who received intensive medical therapy alone for CHD was significantly lower in those on β-blockers than in those not on β-blockers (adjusted HR 0.45, 95% CI 0.23-0.88; P  = .02); however, mortality in patients who received early revascularization for CHD was not significantly lower in those on β-blockers (adjusted HR 0.81, 95% CI 0.40-1.65; P  = .57). The risk of major cardiovascular events in patients without MI/HFrEF was not significantly different between those on and those not on β-blocker treatment.
CONCLUSIONS: In patients with diabetes and CHD, the use of β-blockers was effective in reducing all-cause mortality in those with MI/HFrEF but not in those without MI/HFrEF.
© 2017 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990BARI 2D trial; heart failure with reduced left ventricular ejection fraction; mortality; myocardial infarction; type 2 diabetes; β-blocker

Mesh:

Substances:

Year:  2017        PMID: 28094466      PMCID: PMC5484336          DOI: 10.1111/dom.12878

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


INTRODUCTION

The main aim of diabetes management is to prevent diabetes‐related complications. Although appropriate glycaemic control reduces the risk of microvascular complications,1 recent trials have shown that intensive glycaemic therapy may not prevent cardiovascular events.2, 3, 4 In addition, the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial reported that intensive glycaemic therapy was associated with increased risk of all‐cause and cardiovascular deaths.2 Possible explanations for higher mortality in patients with diabetes receiving intensive glycaemic therapy may be severe hypoglycaemia and weight gain, which are associated with increased risk of death and cardiovascular events.5, 6 Current guidelines recommend the use of β‐blockers in patients with coronary heart disease (CHD);7, 8, 9, 10 however, there is no evidence supporting improved survival in patients with stable CHD without a history of myocardial infarction (MI) or heart failure with reduced left ventricular ejection fraction (HFrEF). In addition, based on the potential risk of hypoglycaemia and weight gain attributable to β‐blockers,11, 12 the disadvantages of β‐blockers may outweigh the benefits in patients with diabetes and CHD. The aim of the present study, therefore, was to assess whether the use of β‐blockers influences mortality and the incidence of major cardiovascular events in patients with diabetes and CHD. Recent observational studies have suggested that early β‐blocker use in patients with acute MI was associated with reduced mortality, but prolonged β‐blocker treatment beyond 1 year after acute MI was unlikely to improve survival.13, 14 The results of these studies suggest a progressively decreasing benefit of β‐blocker treatment over time; therefore, we also assessed whether the use of β‐blockers is effective in patients with diabetes and CHD who underwent early revascularization and had ameliorated ischaemia.

MATERIALS AND METHODS

Study design and patients

We used data from the Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI 2D) trial to evaluate the association between the use of β‐blockers and all‐cause mortality and cardiovascular events in patients with type 2 diabetes who had stable CHD. A detailed description of the BARI 2D study design, protocol and patient characteristics has been reported previously.15, 16, 17, 18, 19 Briefly, BARI 2D was a multicentre, international, randomized, clinical trial comparing two major strategies in patients with type 2 diabetes and CHD: (1) an initial elective coronary revascularization (percutaneous coronary intervention or bypass surgery) combined with aggressive medical therapy vs an initial strategy of aggressive medical therapy alone; and (2) a strategy of providing more insulin (endogenous or exogenous) vs a strategy of increasing sensitivity to insulin (reducing insulin resistance), with a target glycated haemoglobin (HbA1c) level of <7.0% for each strategy. Patients were eligible for the BARI 2D study if they were aged ≥25 years and had a diagnosis of both type 2 diabetes and CHD. Type 2 diabetes was diagnosed based on the need for treatment with insulin or oral hypoglycaemic drugs, a confirmed diagnosis of diabetes by record review, or elevated fasting plasma glucose levels (≥7.0 mmol/L [126/mg/dL]). CHD was diagnosed based on documentation on angiography (≥50% stenosis of a major epicardial coronary artery associated with a positive stress test or ≥70% stenosis of a major epicardial coronary artery and classic angina). Patients were excluded if they required immediate coronary revascularization, had undergone revascularization within 12 months before study entry, or had stenosis ≥50% of the left main coronary artery, serum creatinine >2.0 mg/dL (176.8 μmol/L), HbA1c >13.0%, New York Heart Association functional class III or IV congestive heart failure, or hepatic disease. After randomization, all patients were treated at least with intensive management of dyslipidaemia (LDL cholesterol level <100 mg/dL (2.59 mmol/L)) and hypertension (blood pressure <130/80 mm Hg). In addition, all patients received counselling regarding smoking cessation, regular physical exercise and weight loss. The study was approved by the institutional review board of the National Centre for Global Health and Medicine, and the National Heart, Lung, and Blood Institute (NHLBI) approved our use of BARI 2D data. In the BARI 2D study, 2368 patients with type 2 diabetes and CHD were enrolled at 49 clinical sites in the USA, Canada, Brazil, Mexico, Czech Republic and Austria between January 1, 2001 and March 31, 2005. Patients aged ≥80 years or for whom information was lacking on use of β‐blockers or a history of MI or HFrEF were excluded from the study, resulting in a final sample size of 2244 patients. MI was defined as having a history of MI and HFrEF as having a history of congestive heart failure and left ventricular ejection fraction <50%.

Outcome measurements

Similarly to a previous report of the main study,15 the primary outcome in the present study was all‐cause mortality. The secondary outcome was a composite endpoint including all‐cause death, MI or stroke (major cardiovascular events). In addition, to analyse mortality in more detail, cardiovascular and cardiac mortality was assessed. Cardiac death included death as a result of cardiogenic shock, MI, primary cardiac arrest or heart failure with terminal pulmonary embolism. Cardiovascular death included cardiac death and death from stroke and other atherosclerotic vascular disease. An independent Mortality and Morbidity Classification Committee adjudicated the endpoint data in the original BARI 2D study and classified the cause of all deaths and verified all strokes. More detailed information about outcome evaluation has been reported previously.15, 20 In addition, we evaluated the incidence of severe hypoglycaemia in patients on and not on β‐blockers. Severe hypoglycaemia was defined as hypoglycaemia requiring assistance with treatment and either a blood glucose level of <2.8 mmol/L (50 mg/dL) or confusion, irrational or uncontrollable behaviour, convulsions, or coma reversed by a treatment that raises blood glucose.15 Patients were evaluated on a monthly basis for 6 months and every 3 months thereafter. Patients were followed until November 30, 2008, and the occurrence of outcomes was maximally followed for 6 years.

Potential confounders

We extracted data on potential confounders at baseline, including age, sex, duration of diabetes, history of hypertension, hypercholesterolaemia, or stroke/transient ischaemic attack, race and ethnicity, level of education, physical activity, smoking status, body mass index (BMI, calculated as weight [kg] divided by height [m] squared), statin use, aspirin use, systolic blood pressure, and HbA1c and LDL cholesterol levels. Race and ethnicity were divided into white and non‐white groups. Education was classified as lower than high school, high school graduation, or higher than high school level. Physical activity level was classified as sedentary, mild, or moderate/strenuous. Smoking status was classified as never smoked, former smoker, or current smoker. BMI was classified as <25.0, 25.0 to 29.9 or ≥30.0 kg/m2. HbA1c level was classified as <6.0%, 6.0 to 6.9% or ≥7.0%.

Statistical analysis

The patients included in the study were first divided into two groups: patients with a history of MI and/or HFrEF (MI/HFrEF) and those without MI/HFrEF. Each group was then further divided into those on or not on β‐blockers. Because the number of patients with HFrEF was small, we did not analyse the risks of all‐cause death and cardiovascular events for the patients with HFrEF only. Demographic data are presented as numbers with proportions (%) or mean values with standard deviation (s.d.). We analysed hazard ratios (HRs) for primary and secondary outcomes with 95% confidence intervals (CIs) in patients on β‐blockers compared with those not on β‐blockers using the Cox proportional hazard models. We included age, duration of diabetes, sex, history of hypertension, hypercholesterolaemia, or stroke/transient ischaemic attack, race and ethnicity, level of education, physical activity, smoking status, BMI, statin use, aspirin use, systolic blood pressure, HbA1c level and LDL cholesterol level for adjustment. All‐cause mortality was further analysed limited to the patients who received early coronary revascularization or intensive medical therapy alone for CHD. Self‐reported health conditions (five categories: excellent, very good, good, fair or poor) were added for further adjustment in the analysis of all‐cause mortality. Kaplan–Meier survival curves were constructed for primary and secondary outcomes in patients on and not on β‐blockers. For sensitivity analysis, we performed propensity score‐matched Cox proportional hazard analysis to assess mortality and major cardiovascular events in patients on or not on β‐blockers. The propensity score was used to attempt to adjust for confounding.21 The propensity score estimated the probability that patients would have been assigned to the use of β‐blockers and was derived using a logistic regression model that included use of β‐blockers as the outcome variable and the following variables as predictors: age, duration of diabetes, sex, history of hypertension, hypercholesterolaemia, or stroke/transient ischaemic attack, race and ethnicity, level of education, physical activity, smoking status, BMI, statin use, aspirin use, systolic blood pressure, and HbA1c and LDL cholesterol levels. All statistical analyses were conducted using STATA software (version 14.1, Stata Corp, College Station, Texas). P values < .05 were taken to indicate statistical significance for all tests.

RESULTS

Characteristics of study patients

The baseline characteristics of patients with (n = 767) and without (n = 1477) MI/HFrEF are shown in Table 1. Among patients with MI/HFrEF, those on β‐blockers had a higher prevalence of hypercholesterolaemia, there were fewer with a BMI <25 kg/m2, and more patients took statins and aspirin than those not on β‐blockers. Among patients without MI/HFrEF, those on β‐blockers had a higher prevalence of hypertension and hypercholesterolaemia, a higher proportion of patients with an education level lower than high school and with mild levels of physical activity, and more use of statins and aspirin than those not on β‐blockers.
Table 1

Baseline characteristics of patients with type 2 diabetes and CHD on and not on β‐blockers1

CharacteristicsMI/HFrEF (+)MI/HFrEF (−)
β‐blockers (−)β‐blockers (+)β‐blockers (−)β‐blockers (+)
N = 148N = 619 P valueN = 458N = 1019 P value
Age, years62.0 (9.2)60.6 (8.7).0962.2 (8.6)61.9 (8.3).56
Duration of diabetes, years10.7 (8.3)9.7 (8.6).2310.7 (8.5)10.4 (8.7).41
Female sex, %22.326.7.2729.332.3.24
Race and ethnicity: white, %64.271.4.0870.569.7.74
Level of education, %
Lower than high school38.440.8.5931.637.0.04
High school22.618.3.2423.023.4.88
Above high school39.040.9.6745.439.6.03
Physical activity (%)
Sedentary26.024.9.7821.519.2.30
Mild42.540.6.6737.943.9.03
Moderate/strenuous31.534.5.4840.636.9.17
Smoking status (%)
Never25.026.9.6337.235.6.54
Former55.457.7.6151.653.5.50
Current19.615.4.1311.210.9.82
BMI
<25.0 kg/m2 16.39.8.027.79.5.28
25.0 to 29.9 kg/m2 37.435.5.6533.132.2.74
≥30.0 kg/m2 46.354.7.0659.258.3.76
Hypertension, %76.783.2.0677.885.6<.001
Hypercholesterolaemia, %76.286.0.00475.482.9.001
History of stroke/transient ischaemic attack, %14.212.4.567.98.4.74
Statin use, %69.683.0<.00162.775.9<.001
Aspirin use, %76.493.3<.00179.790.3<.001
Systolic blood pressure, mm Hg125.8 (19.2)128.3 (19.2).15133.0 (18.1)133.9 (21.0).43
HbA1c8.3 (0.9)8.3 (1.0).848.3 (0.9)8.3 (1.0).84
<6.0%13.29.4.1712.110.9.53
6.0% to 6.9%27.129.6.5424.829.8.05
≥7.0%59.761.0.7863.159.2.76
LDL cholesterol, mg/dL2 94.6 (32.7)92.8 (31.9).56100.2 (34.4)96.7 (34.0).08

HbA1c: 6.0% = 42 mmol/mol; 7.0% = 53 mmol/mol.

Data are presented as number of participants, percent, or mean (standard deviation).

To convert LDL cholesterol to mmol/L, multiply by 0.0259.

Baseline characteristics of patients with type 2 diabetes and CHD on and not on β‐blockers1 HbA1c: 6.0% = 42 mmol/mol; 7.0% = 53 mmol/mol. Data are presented as number of participants, percent, or mean (standard deviation). To convert LDL cholesterol to mmol/L, multiply by 0.0259.

Primary and secondary outcomes

The mean (± s.d.) follow‐up periods were 4.6 ± 1.3 years in patients with MI/HFrEF and 4.8 ± 1.2 years in those without MI/HFrEF. The Kaplan–Meier survival curves and cumulative event rates for all‐cause death and major cardiovascular events in patients with and without MI/HFrEF are shown in Figure 1 and Table 2, respectively. All‐cause mortality (number of events per 1000 person‐years) in patients with MI/HFrEF on and not on β‐blockers was 26.4 and 49.8, respectively, while that in patients without MI/HFrEF on and not on β‐blockers was 22.8 and 22.3, respectively. All‐cause mortality in patients with MI/HFrEF was significantly lower in those on β‐blockers than those not on β‐blockers (unadjusted HR 0.52, 95% CI 0.35‐0.80; P = .003 [Figure 1A]), whereas that in patients without MI/HFrEF did not differ significantly between those on and not on β‐blockers (unadjusted HR 1.02, 95% CI 0.73‐1.43 [Figure 1B]). In addition, the adjusted HR for all‐cause mortality in patients with MI/HFrEF was also significantly lower in those on β‐blockers than in those not on β‐blockers (adjusted HR 0.60, 95% CI 0.37‐0.98; P = .04), whereas that in patients without MI/HFrEF did not differ significantly between those on and not on β‐blockers (adjusted HR 0.91, 95% CI 0.76‐1.32; P = .64). These results did not change after further adjustment, including self‐reported health conditions (patients with MI/HFrEF: adjusted HR 0.60, 95% CI 0.37‐0.97, P = .03; patients without MI/HFrEF: adjusted HR 0.89, 95% CI 0.61‐1.29, P = .54). The analyses limited to patients with and without MI showed similar results (patients with MI: adjusted HR 0.60, 95% CI 0.36‐1.01, P = .05; patients without MI: adjusted HR 0.89, 95% CI 0.63‐1.27, P = .53). Among patients with MI/HFrEF, all‐cause mortality in patients who received intensive medical therapy alone for CHD was significantly lower in those on β‐blockers than in those not on β‐blockers (adjusted HR 0.45, 95% CI 0.23‐0.88; P = .02), whereas that in patients who underwent early revascularization for CHD did not differ significantly between those on and not on β‐blockers (adjusted HR 0.81, 95% CI 0.40‐1.65; P = .57). Although the incidence of major cardiovascular events in patients with MI/HFrEF was lower in those on β‐blockers than in those not on β‐blockers (Figure 1C), the incidence in patients without MI/HFrEF was not significantly different between those on and not on β‐blockers (unadjusted HR 1.16, 95% CI 0.90‐1.49, P = .24 [Figure 1D]; adjusted HR 1.13, 95% CI 0.85‐1.49, P = .39). To further verify these results, we performed sensitivity analysis using propensity score matching. Baseline characteristics of propensity score‐matched patients with (n = 222) and without (n = 724) MI/HFrEF are shown in Table S1. In each group with and without MI/HFrEF, there were no significant differences in their baseline characteristics between those on and not on β‐blockers. All‐cause mortality and the incidence of major cardiovascular events in patients with MI/HFrEF were similarly lower in those on β‐blockers than in those not on β‐blockers (Figure 2A and C). In contrast, among patients without MI/HFrEF, all‐cause mortality and the incidence of major cardiovascular events did not differ between those on and not on β‐blockers (Figure 2B and D).
Figure 1

Kaplan–Meier survival curves for all‐cause death and major cardiovascular events in patients on and not on β‐blockers. Rates of freedom from all‐cause death in patients (A) with and (B) without MI/HFrEF and from major cardiovascular events in patients (C) with and (D) without MI/HFrEF. Major cardiovascular events included all‐cause death, MI and stroke. β (+), on β‐blockers; β (−), not on β‐blockers.

Table 2

Cardiovascular events and death in patients with type 2 diabetes and CHD on and not on β‐blockers2

MI/HFrEF (+)MI/HFrEF (−)
β‐blockers (−)β‐blockers (+) P valueβ‐blockers (−)β‐blockers (+) P value
N = 148N = 619N = 458N = 1019
Event
All‐cause death
No. of patients348655113
Event rate, per 1000 person‐years49.826.422.322.8
Unadjusted HR (95% CI)1.00 (reference)0.52 (0.35‐0.80).0031.00 (reference)1.02 (0.73‐1.43).87
Adjusted HR (95% CI)1.00 (reference)0.60 (0.37‐0.98).041.00 (reference)0.91 (0.763‐1.32).64
All‐cause death, MI, or stroke
No. of patients4716187211
Event rate, per 1000 person‐years86.764.844.051.2
Unadjusted HR (95% CI)1.00 (reference)0.74 (0.53‐1.04).081.00 (reference)1.16 (0.90‐1.49).24
Adjusted HR (95% CI)1.00 (reference)0.81 (0.55–1.18).281.00 (reference)1.13 (0.85‐1.49).39
Cardiovascular death
No. of patients16432256
Event rate (per 1000 person‐year)24.914.39.811.2
Unadjusted HR (95% CI)1.00 (reference)0.58 (0.33‐1.04).071.00 (reference)1.14 (0.69‐1.87).59
Adjusted HR (95% CI)1.00 (reference)0.52 (0.27‐1.01).051.00 (reference)1.04 (0.59‐1.83).89
Cardiac death
No. of patients16382052
Event rate, per 1000 person‐years24.912.78.910.4
Unadjusted HR (95% CI)1.00 (reference)0.51 (0.28‐0.93)0.021.00 (reference)1.16 (0.69‐1.95).56
Adjusted HR (95% CI)1.00 (reference)0.47 (0.23‐0.91)0.021.00 (reference)1.08 (0.59‐1.95).79
Fatal or non‐fatal MI
No. of patients219042108
Event rate, per 1000 person‐years39.237.621.325.9
Unadjusted HR (95% CI)1.00 (reference)0.97 (0.60‐1.56).911.00 (reference)1.20 (0.83‐1.72).31
Adjusted HR (95% CI)1.00 (reference)1.05 (0.61‐1.81).841.00 (reference)1.17 (0.78‐1.74).44
Fatal or non‐fatal stroke
No. of patients6191026
Event rate, per 1000 person‐years10.67.45.06.0
Unadjusted HR (95% CI)1.00 (reference)0.68 (0.27‐1.71).411.00 (reference)1.19 (0.57‐2.48).64
Adjusted HR (95% CI)1.00 (reference)0.51 (0.16‐1.56).241.00 (reference)1.07 (0.45‐2.51).88

Data are presented as number or HR (95% CI).

Figure 2

Kaplan–Meier survival curves for all‐cause death and major cardiovascular events in propensity score‐matched patients on and not on β‐blockers. Rates of freedom from all‐cause death in patients (A) with and (B) without MI/HFrEF and those from major cardiovascular events in patients (C) with and (D) without MI/HFrEF. Major cardiovascular events included all‐cause death, MI and stroke. β (+), on β‐blockers; β (−), not on β‐blockers.

Kaplan–Meier survival curves for all‐cause death and major cardiovascular events in patients on and not on β‐blockers. Rates of freedom from all‐cause death in patients (A) with and (B) without MI/HFrEF and from major cardiovascular events in patients (C) with and (D) without MI/HFrEF. Major cardiovascular events included all‐cause death, MI and stroke. β (+), on β‐blockers; β (−), not on β‐blockers. Cardiovascular events and death in patients with type 2 diabetes and CHD on and not on β‐blockers2 Data are presented as number or HR (95% CI). Kaplan–Meier survival curves for all‐cause death and major cardiovascular events in propensity score‐matched patients on and not on β‐blockers. Rates of freedom from all‐cause death in patients (A) with and (B) without MI/HFrEF and those from major cardiovascular events in patients (C) with and (D) without MI/HFrEF. Major cardiovascular events included all‐cause death, MI and stroke. β (+), on β‐blockers; β (−), not on β‐blockers. The Kaplan–Meier survival curves and cumulative event rates for cardiovascular and cardiac deaths in patients with and without MI/HFrEF are shown in Figure 3 and Table 2, respectively. Cardiovascular and cardiac mortality in patients with MI/HFrEF was lower in those on β‐blockers than in those not on β‐blockers (unadjusted HR for cardiovascular mortality: 0.58, 95% CI 0.33‐1.04, P = .07 [Figure 3A]; unadjusted HR for cardiac mortality: 0.51, 95% CI 0.28‐0.93, P = .02 [Figure 3C]), whereas that in patients without MI/HFrEF did not differ significantly between those on and not on β‐blockers (unadjusted HR for cardiovascular mortality: 1.14, 95% CI 0.69‐1.87, P = .59 [Figure 3B]; and unadjusted HR for cardiac mortality: 1.16, 95% CI 0.69‐1.95, P = .56 [Figure 3D]). In addition, multivariable adjusted HRs for cardiovascular and cardiac mortality were lower in patients with MI/HFrEF on β‐blockers than in those not on β‐blockers (adjusted HR for cardiovascular deaths: 0.52, 95% CI 0.27‐1.01, P = .05; and adjusted HR for cardiac deaths: 0.47, 95% CI 0.23‐0.91, P = .02), whereas that in patients without MI/HFrEF did not differ significantly between those on and not on β‐blockers (adjusted HR for cardiovascular deaths: 1.04, 95% CI 0.59–1.83, P = .89; and adjusted HR for cardiac deaths: 1.08, 95% CI 0.59‐1.95, P = .79). Unadjusted and adjusted HRs for MI and stroke were not significantly different between patients on and not on β‐blockers, regardless of whether there was a history of MI/HFrEF.
Figure 3

Kaplan–Meier survival curves for cardiovascular and cardiac deaths in patients on and not on β‐blockers. Rates of freedom from cardiovascular deaths in patients (A) with and (B) without MI/HFrEF and from cardiac death in patients (C) with and (D) without MI/HFrEF. β (+), on β‐blockers; β (−), not on β‐blockers.

Kaplan–Meier survival curves for cardiovascular and cardiac deaths in patients on and not on β‐blockers. Rates of freedom from cardiovascular deaths in patients (A) with and (B) without MI/HFrEF and from cardiac death in patients (C) with and (D) without MI/HFrEF. β (+), on β‐blockers; β (−), not on β‐blockers. The Kaplan–Meier survival curves for severe hypoglycaemia in patients with and without MI/HFrEF are shown in Figure S1. The incidence of severe hypoglycaemia was not significantly different between patients on and not on β‐blockers. Similar results were found after multivariable adjustment.

DISCUSSION

In the present study using BARI 2D trial data, various analyses of patients with type 2 diabetes and CHD showed that the use of β‐blockers in those with MI/HFrEF was associated with a decreased risk of all‐cause, cardiovascular and cardiac mortality, whereas the use of β‐blockers in those without MI/HFrEF was not associated with these mortalities. Among patients with MI/HFrEF, all‐cause mortality in patients who received intensive medical therapy alone for CHD was significantly lower in those on β‐blockers than in those not on β‐blockers. This was not, however, the case in patients who had undergone coronary revascularization. In addition, the incidence of major cardiovascular events in patients without MI/HFrEF was not significantly different in those on and not on β‐blockers. The incidence of severe hypoglycaemia did not differ significantly regardless of the whether or not patients were on β‐blockers in the glycaemic control strategy of the BARI 2D study. Current guidelines recommend the use of β‐blockers in patients with CHD.7, 8, 9, 10 Indeed, previous studies have shown the effectiveness of β‐blockers in patients with MI.22 In addition, several studies have reported the beneficial effects of β‐blockers in patients with diabetes with MI and those with left ventricular systolic dysfunction.23, 24 However, evidence regarding the efficacy of β‐blockers has never been demonstrated in all patients with stable CHD. Moreover, there are few studies reporting the efficacy of β‐blockers in patients with diabetes and CHD who had undergone coronary revascularization or intensive medical therapy alone. In the present study, all‐cause mortality in patients with diabetes and CHD who had a history of MI/HFrEF, particularly in those who received intensive medical therapy alone for CHD, was significantly lower in patients on β‐blockers than in those not on β‐blockers; however, among patients without MI/HFrEF, all‐cause mortality did not differ significantly between those on and not on β‐blockers. Although β‐blockers might have the cardioprotective effects in patients with diabetes and CHD, the disadvantages of β‐blockers, such as metabolic adverse effects and weight gain,12, 25 might be equal to the positive effects of β‐blockers. In addition, based on the results of the present study, a target HbA1c level of <7.0% might be safe in patients on β‐blockers; however, because the incidence of hypoglycaemia may be higher in real‐world settings compared with clinical trial settings with careful patient selection and close monitoring,26 the disadvantages of β‐blockers may become more evident in normal clinical practice. Further studies are needed to show the association between β‐blocker use and hypoglycaemia risk. The present study has several limitations. First, it was a post hoc analysis of the BARI 2D trial, and our findings may not be applicable to other patients with diabetes and CHD. Second, the relatively small number of events might influence the results. In addition, residual confounding might still be present. The study was large‐scale, evidence‐based, and had robust subgroup representation. In addition, we performed various analyses to minimize the effects of confounders, and additional adjustments including patient health status further decreased confounding; however, uncontrolled confounding still influenced the results of mortality and cardiovascular events. Further randomized controlled trials are therefore required to evaluate whether the use of β‐blockers is beneficial and safe in patients with diabetes and CHD. Third, because the number of patients with HFrEF was small, we could not perform the analysis for the patients with HFrEF only. Additional large‐scale studies are needed to assess the effects of β‐blockers in patients with HFrEF. Fourth, we could not classify the types of β‐blockers, such as cardioselective or non‐selective. An important issue is whether there were different effects between the use of β‐1‐selective β‐blockers and combined α‐ and β‐blockers in patients with diabetes and CHD. Although β‐blockers exert their effects by competitively inhibiting catecholamine binding to β receptors, each β‐blocker has different characteristics with respect to cardioselectivity, pharmacokinetics, intrinsic sympathomimetic activity, and α‐adrenergic blocking activity. Thus, further studies are needed to clarify the types of β‐blockers that are more beneficial or have a different safety profile. In conclusion, the present study on type 2 diabetes and CHD showed that the use of β‐blockers in patients with MI/HFrEF was associated with a decreased risk of all‐cause mortality; however, this association was not found in patients with MI/HFrEF who underwent early coronary revascularization. In addition, among patients without MI/HFrEF, all‐cause mortality did not differ between those on and not on β‐blockers. To clarify the indications for β‐blockers in patients with diabetes and CHD, randomized controlled trials are needed. Figure S1. Kaplan–Meier survival curves for severe hypoglycaemia in patients on and not on beta‐blockers. Rates of freedom from severe hypoglycaemia in patients with (A) and without (B) MI/HFrEF. β, beta‐blockers; MI, myocardial infarction; HFrEF, heart failure with reduced left ventricular ejection fraction. Click here for additional data file. Table S1. Baseline characteristics of propensity score‐matched patients with type 2 diabetes and coronary heart disease on and not on beta‐blockers. Click here for additional data file.
  27 in total

1.  Severe hypoglycemia and risks of vascular events and death.

Authors:  Sophia Zoungas; Anushka Patel; John Chalmers; Bastiaan E de Galan; Qiang Li; Laurent Billot; Mark Woodward; Toshiharu Ninomiya; Bruce Neal; Stephen MacMahon; Diederick E Grobbee; Andre Pascal Kengne; Michel Marre; Simon Heller
Journal:  N Engl J Med       Date:  2010-10-07       Impact factor: 91.245

2.  Effects of optimal medical treatment with or without coronary revascularization on angina and subsequent revascularizations in patients with type 2 diabetes mellitus and stable ischemic heart disease.

Authors:  Gilles R Dagenais; Jiang Lu; David P Faxon; Kenneth Kent; Rodrigo M Lago; Carlos Lezama; Whady Hueb; Melvin Weiss; James Slater; Robert L Frye
Journal:  Circulation       Date:  2011-03-28       Impact factor: 29.690

3.  Glucose control and vascular complications in veterans with type 2 diabetes.

Authors:  William Duckworth; Carlos Abraira; Thomas Moritz; Domenic Reda; Nicholas Emanuele; Peter D Reaven; Franklin J Zieve; Jennifer Marks; Stephen N Davis; Rodney Hayward; Stuart R Warren; Steven Goldman; Madeline McCarren; Mary Ellen Vitek; William G Henderson; Grant D Huang
Journal:  N Engl J Med       Date:  2008-12-17       Impact factor: 91.245

4.  Pathophysiology of isolated systolic hypertension in elderly patients: Doppler echocardiographic insights.

Authors:  T Pasierski; A C Pearson; A J Labovitz
Journal:  Am Heart J       Date:  1991-08       Impact factor: 4.749

Review 5.  Weight gain as an adverse effect of some commonly prescribed drugs: a systematic review.

Authors:  W S Leslie; C R Hankey; M E J Lean
Journal:  QJM       Date:  2007-06-12

6.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

7.  A randomized trial of therapies for type 2 diabetes and coronary artery disease.

Authors:  Robert L Frye; Phyllis August; Maria Mori Brooks; Regina M Hardison; Sheryl F Kelsey; Joan M MacGregor; Trevor J Orchard; Bernard R Chaitman; Saul M Genuth; Suzanne H Goldberg; Mark A Hlatky; Teresa L Z Jones; Mark E Molitch; Richard W Nesto; Edward Y Sako; Burton E Sobel
Journal:  N Engl J Med       Date:  2009-06-07       Impact factor: 91.245

8.  Effects of β-blockers on all-cause mortality in patients with type 2 diabetes and coronary heart disease.

Authors:  Tetsuro Tsujimoto; Takehiro Sugiyama; Hiroshi Kajio
Journal:  Diabetes Obes Metab       Date:  2017-02-17       Impact factor: 6.577

9.  The association between symptomatic, severe hypoglycaemia and mortality in type 2 diabetes: retrospective epidemiological analysis of the ACCORD study.

Authors:  Denise E Bonds; Michael E Miller; Richard M Bergenstal; John B Buse; Robert P Byington; Jeff A Cutler; R James Dudl; Faramarz Ismail-Beigi; Angela R Kimel; Byron Hoogwerf; Karen R Horowitz; Peter J Savage; Elizabeth R Seaquist; Debra L Simmons; William I Sivitz; Joann M Speril-Hillen; Mary Ellen Sweeney
Journal:  BMJ       Date:  2010-01-08

10.  β blockers and mortality after myocardial infarction in patients without heart failure: multicentre prospective cohort study.

Authors:  Etienne Puymirat; Elisabeth Riant; Nadia Aissaoui; Angèle Soria; Gregory Ducrocq; Pierre Coste; Yves Cottin; Jean François Aupetit; Eric Bonnefoy; Didier Blanchard; Simon Cattan; Gabriel Steg; François Schiele; Jean Ferrières; Yves Juillière; Tabassome Simon; Nicolas Danchin
Journal:  BMJ       Date:  2016-09-20
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  9 in total

1.  Risk of Cardiovascular Events in Patients With Diabetes Mellitus on β-Blockers.

Authors:  Tetsuro Tsujimoto; Takehiro Sugiyama; Martin F Shapiro; Mitsuhiko Noda; Hiroshi Kajio
Journal:  Hypertension       Date:  2017-05-30       Impact factor: 10.190

2.  Effects of β-blockers on all-cause mortality in patients with type 2 diabetes and coronary heart disease.

Authors:  Tetsuro Tsujimoto; Takehiro Sugiyama; Hiroshi Kajio
Journal:  Diabetes Obes Metab       Date:  2017-02-17       Impact factor: 6.577

3.  Effect of β-blocker therapy in diabetic patients with stable coronary heart disease: a meta-analysis.

Authors:  Aaqib H Malik; Suchith Shetty; Kausik Kar; Ramzi El Accaoui
Journal:  J Geriatr Cardiol       Date:  2019-03       Impact factor: 3.327

Review 4.  Consensus recommendations for management of patients with type 2 diabetes mellitus and cardiovascular diseases.

Authors:  Alaaeldin Bashier; Azza Bin Hussain; Elamin Abdelgadir; Fatheya Alawadi; Hani Sabbour; Robert Chilton
Journal:  Diabetol Metab Syndr       Date:  2019-09-26       Impact factor: 3.320

5.  Associations between β-Blocker Therapy at Discharge and Long-Term Follow-Up Outcomes in Patients with Unstable Angina Pectoris.

Authors:  Lei Liu; Xiaosong Ding; Hui Chen; Weiping Li; Hongwei Li
Journal:  Cardiol Res Pract       Date:  2022-09-29       Impact factor: 1.990

6.  Association between β-blocker use and mortality in critically ill patients: a nested cohort study.

Authors:  Shmeylan A Al Harbi; Khalid A Al Sulaiman; Hani Tamim; Hasan M Al-Dorzi; Musharaf Sadat; Yaseen Arabi
Journal:  BMC Pharmacol Toxicol       Date:  2018-05-16       Impact factor: 2.483

7.  Impact of sitagliptin combination therapy and hypoglycemia in Japanese patients with type 2 diabetes: a multi-center retrospective observational cohort study.

Authors:  Tomoyuki Saito; Hirotoshi Ohmura; Shuko Nojiri; Hiroyuki Daida
Journal:  J Pharm Health Care Sci       Date:  2020-06-04

8.  Beta-blocker use and cardiovascular event risk in patients with heart failure with preserved ejection fraction.

Authors:  Tetsuro Tsujimoto; Hiroshi Kajio
Journal:  Sci Rep       Date:  2018-06-22       Impact factor: 4.379

9.  Granule of BU-XIN RUAN-MAI Attenuates the Patients' Angina Pectoris of Coronary Heart Disease via Regulating miR-542-3p/GABARAP Signaling.

Authors:  Dong Yan; Li-Li Zhao; Bo-Wen Yue; Hui Qian; Zi-Han Zhang; Ning Wang; Shi-Hai Yan; Yu-Liang Qian
Journal:  Evid Based Complement Alternat Med       Date:  2019-12-26       Impact factor: 2.629

  9 in total

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