Literature DB >> 27650822

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

Etienne Puymirat1, Elisabeth Riant2, Nadia Aissaoui3, Angèle Soria4, Gregory Ducrocq5, Pierre Coste6, Yves Cottin7, Jean François Aupetit8, Eric Bonnefoy9, Didier Blanchard10, Simon Cattan11, Gabriel Steg5, François Schiele12, Jean Ferrières13, Yves Juillière14, Tabassome Simon15, Nicolas Danchin2.   

Abstract

OBJECTIVE: To assess the association between early and prolonged β blocker treatment and mortality after acute myocardial infarction.
DESIGN: Multicentre prospective cohort study.
SETTING: Nationwide French registry of Acute ST- and non-ST-elevation Myocardial Infarction (FAST-MI) (at 223 centres) at the end of 2005. PARTICIPANTS: 2679 consecutive patients with acute myocardial infarction and without heart failure or left ventricular dysfunction. MAIN OUTCOME MEASURES: Mortality was assessed at 30 days in relation to early use of β blockers (≤48 hours of admission), at one year in relation to discharge prescription, and at five years in relation to one year use.
RESULTS: β blockers were used early in 77% (2050/2679) of patients, were prescribed at discharge in 80% (1783/2217), and were still being used in 89% (1230/1383) of those alive at one year. Thirty day mortality was lower in patients taking early β blockers (adjusted hazard ratio 0.46, 95% confidence interval 0.26 to 0.82), whereas the hazard ratio for one year mortality associated with β blockers at discharge was 0.77 (0.46 to 1.30). Persistence of β blockers at one year was not associated with lower five year mortality (hazard ratio 1.19, 0.65 to 2.18). In contrast, five year mortality was lower in patients continuing statins at one year (hazard ratio 0.42, 0.25 to 0.72) compared with those discontinuing statins. Propensity score and sensitivity analyses showed consistent results.
CONCLUSIONS: Early β blocker use was associated with reduced 30 day mortality in patients with acute myocardial infarction, and discontinuation of β blockers at one year was not associated with higher five year mortality. These findings question the utility of prolonged β blocker treatment after acute myocardial infarction in patients without heart failure or left ventricular dysfunction.Trial registration Clinical trials NCT00673036. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Year:  2016        PMID: 27650822      PMCID: PMC5029148          DOI: 10.1136/bmj.i4801

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

The benefit of β blockers is undisputed in patients with heart failure or left ventricular dysfunction in sinus rhythm and consistent in patients with ischaemic or non-ischaemic systolic heart failure.1 2 Most trials assessing the effect of β blockers after acute myocardial infarction were carried out several decades ago, at a time when reperfusion therapy was not used and when currently used secondary prevention drugs such as statins were not available.3 In the reperfusion era, the large Clopidogrel and Metoprolol in Myocardial Infarction Trial (COMMIT) had its primary endpoint at 28 days; none of the patients had primary percutaneous coronary intervention, and 45% of the patients received no reperfusion therapy.4 Most patients with acute myocardial infarction, however, including those with preserved left ventricular function, receive β blockers at discharge and continue their treatment for years after the acute episode. The lack of recent evidence on the effect of β blockers has resulted in divergences between European and American guidelines,5 6 7 8 and the role of the long term use of β blockers after acute myocardial infarction in patients without heart failure and with adequate left ventricular function is controversial.9 The purpose of this study was to assess the associations of β blocker use and adherence to treatment with short term and long term mortality by using data from the nationwide French registry of Acute ST-elevation and non-ST-elevation Myocardial Infarction (FAST-MI) 2005. We assessed the relation between β blocker use and mortality at three time points: early use (within 48 hours of admission) in relation to 30 day mortality, prescription of β blockers at discharge in relation to one year mortality, and persistent use of β blockers at one year in relation to five year mortality.

Methods

Study design

The population and methods of the FAST-MI registry have been described in detail elsewhere.10 11 Briefly, the objective of the study was to collect comprehensive data on the management and outcome of consecutive patients admitted to intensive care units for definite acute myocardial infarction over a one month period in France, irrespective of the type of institution to which the patients were admitted (university hospitals, public hospitals, or private clinics, with or without on-site catheterisation facilities). Of the 374 centres that treated patients with acute myocardial infarction at that time, 223 (60%) participated in the study. All consecutive adult (≥18 years) patients admitted to the participating centres during a one month period beginning on 1 October 2005, with a one month extension for patients with diabetes, were included in the registry if they had elevated serum markers of myocardial necrosis higher than twice the upper limit of normal for creatine kinase, creatine kinase-MB, or elevated troponins; had symptoms compatible with acute myocardial infarction and/or electrocardiographic changes on at least two contiguous leads with pathological Q waves and/or persisting ST elevation or depression greater than 0.1 mV; and consented to participate in the study. The time from the onset of symptoms to admission to the intensive care unit had to be less than 48 hours. Patients with iatrogenic myocardial infarction, defined as occurring within 48 hours of a therapeutic procedure, and those in whom diagnosis of acute myocardial infarction was invalidated in favour of another diagnosis were excluded from the survey. Patients were not involved in the registry organisation. The patients had to give their informed consent for participation in the study.

Data collection

Specially trained research technicians who visited each centre at least once a week prospectively recorded all data on computerised case record forms. Cardiovascular history, drug treatment at the time of admission, risk factors, and in-hospital clinical course, including maximal Killip class, as well as initial diagnostic and therapeutic management, were recorded for each patient. Discharge drugs, including type and dose of β blockers, were recorded. We considered doses at or above 50 mg/day for atenolol, 100 mg/day for metoprolol, 200 mg/day for acebutolol, or 5 mg/day for bisoprolol to be moderate to high doses. Follow-up was centralised at the French Society of Cardiology, and dedicated research technicians contacted both the physicians and the patients themselves or their families, after checking the patients’ vital status in municipal registers. Information on cardiovascular and non-cardiovascular hospital admissions and drug prescriptions during follow-up was sought; drug use was self reported by the patients and in many instances supported by copies of the medical prescription. When the patients or their families or physicians reported events that had led to hospital admission, hospital discharge letters and supportive documents were retrieved whenever possible. All events reported were reviewed by at least one member of a three member critical events committee (ND, TS, and Pascal Guéret); the committee reviewed all cases that seemed debatable. Cause of death was assessed in the same way and additionally cross linked with the national database of causes of deaths. For the analysis presented here, we used the following classification: cardiovascular cause, non-cardiovascular cause, cause undetermined; in addition, we categorised mode of death into sudden or non-sudden. The rates of patients lost to follow-up for vital status were 0.3% at one year and 4.1% at five years. The outcome variables used for this study were all cause mortality at 30 days, one year, and five years.

Populations studied

A first analysis focused on the association between early use of β blockers (within 48 hours of admission) and 30 day mortality in patients without previous history of heart failure and without signs of heart failure on admission (Killip class I) (population 1; fig 1). We then analysed the relation between β blockers at discharge and one year mortality in the population without history of heart failure and with no sign of heart failure (Killip class I) throughout the hospital stay and without documentation of an ejection fraction of 40% or below before hospital discharge (using echocardiography, contrast left ventricular angiography, or radionuclide assessment of left ventricular function) (population 2; fig 1). We did a third analysis in the subset of population 2 who had received β blockers at discharge and were alive at one year, to determine five year outcome according to persistence of β blockers at one year (population 3; fig 1).

Fig 1 Flowchart of populations from FAST-MI studied at different time points. LVEF=left ventricular ejection fraction

Fig 1 Flowchart of populations from FAST-MI studied at different time points. LVEF=left ventricular ejection fraction Finally, we did an analysis of five year mortality according to persistence of statin treatment at one year in population 3 patients who were discharged taking statins. We used this analysis to determine whether its results would be concordant with those of the randomised trials of statins after acute myocardial infarction, which, unlike β blocker trials, were conducted in the contemporary era of reperfusion therapy and invasive strategies for patients with acute coronary syndromes.

Statistical analysis

All continuous variables are described as their mean values with standard deviation or as median and interquartile range. All categorical variables are described using absolute and relative frequency distributions. Comparisons between groups used unpaired t tests or non-parametric Mann-Whitney tests for continuous variables and χ2 tests for discrete variables. We generated survival curves by using the Kaplan and Meier method and used log rank tests to compare them. Patients lost to follow-up were kept in the analyses and censored at the time they were last known to be alive. We used backwards Cox multivariable analyses for assessing the association between β blockers and mortality. We used a P value of 0.05 for inclusion and 0.10 for exclusion. We calculated the cumulative hazard functions for each covariate to assess proportionality and verified collinearity by calculating variance inflation factors. We did several analyses using different sets of covariates for the three populations studied. We selected covariates ad hoc, on the basis of their physiological relevance and potential to be associated with short term or long term mortality. A detailed description of the variables used is provided in appendix 1 of the supplementary material. In addition, we used non-parsimonious logistic regression analysis to calculate propensity scores for getting β blockers at each time point (first 48 hours, discharge, one year), leading to one propensity score for each population. Within each population, we matched one patient not receiving β blockers with a given propensity score with one (populations 1 and 2) or three (population 3) patients receiving β blockers and having a similar propensity score, by using a greedy procedure based on the Mahalanobis distance within propensity score callipers set at a 0.2*sigma. A first propensity score was calculated in population 1, and two cohorts were matched with a 1:1 ratio (502 patients each); a second propensity score was calculated in population 2, with a 1:1 matching procedure (383 patients each); finally, a third propensity score was calculated in population 3, with a 3:1 matching procedure (95 patients who discontinued β blockers and 277 with prolonged β blocker treatment). Model fits were satisfactory: Hosmer-Lemeshow P value 0.41, C statistic 0.75 for the model in population 1; Hosmer-Lemeshow P value 0.83, C statistic 0.83 for population 2; and Hosmer-Lemeshow P value 0.45, C statistic 0.72 for population 3. We also used propensity score matching (3:1 matching) to compare patients with continued versus discontinued statin treatment at one year in the population who had received both statins and β blockers at discharge. Model fit for continuation of statins at one year: Hosmer-Lemeshow P value 0.63, C statistic 0.80. We used the IBM-SPSS version 20.0 and NCSS 9 software for all analyses. For all tests, we considered a P value of less than 0.05 (two sided) to be significant.

Patient involvement

No patients were involved in setting the research question, nor were they involved in developing plans for recruitment, design, or implementation of the study. No patients were asked to advise on interpretation or writing up of results. Patients were contacted personally during follow-up, and we sent them a newsletter on the course of the study and its main findings.

Results

β blockers in first 48 hours and 30 day mortality

Of the 3670 patients included in the registry, 991 had a history of heart failure before the current episode or had Killip class II or higher at admission. Among the 2679 patients included, 2050 (76.5%) were treated with β blockers during the first 48 hours after admission. Patients who were given β blockers were younger than those who were not, with a lower GRACE risk score and less comorbidity (table 1). After propensity score matching, the characteristics of the two populations were well balanced (supplementary table A).
Table 1

Population 1: baseline characteristics according to early prescription (≤48 hours) of β blockers. Values are numbers (percentages) unless stated otherwise

Without β blockers (n=629)With β blockers (n=2050)P value
Demographics
Mean (SD) age, years68.0 (13.6)63.7 (13.6)<0.001
Age ≥75 years232 (37)497 (24)<0.001
Female sex210 (33)539 (26)0.001
Risk factors
Hypertension374 (59)1095 (53)0.008
Hypercholesterolaemia299 (48)983 (48)0.85
Current smoking173 (28)698 (34)0.002
Diabetes mellitus207 (33)645 (31)0.50
Family history of premature CVD123 (20)575 (28)<.001
Medical history
Previous stroke or TIA54 (9)114 (6)0.006
Previous CABG36 (6)83 (4)0.07
Previous PCI94 (15)245 (12)0.05
Previous MI108 (17)280 (14)0.03
Peripheral artery disease67 (11)113 (6)<0.001
Chronic kidney disease26 (4)69 (3)0.36
Chronic obstructive lung disease51 (8)30 (1)<0.001
History of cancer43 (7)118 (6)0.32
Drugs before index MI
Antiplatelet agent227 (36)535 (26)<0.001
Statin181 (29)532 (26)0.16
β blocker81 (13)520 (25)<0.001
ACE inhibitor116 (18)324 (16)0.12
Angiotensin receptor blocker110 (17)281 (14)0.02
Index acute MI
STEMI335 (53)1161 (57)0.14
LBBB23 (4)34 (2)0.002
Atrial fibrillation on admission electrocardiogram40 (6)92 (4.5)0.06
Mean (SD) GRACE score144 (29)134 (28)<0.001
Median (IQR) maximal CK, IU/L308 (146-934); (n=427)544 (216-1441); (n=1749)<0.001
Median (IQR) LVEF, %55 (48-65); (n=349)55 (49-62); (n=1553)0.67
Coronary angiography ≤48 hours of admission412 (66)1634 (80)<0.001
PCI in first 48 hours249 (40)1055 (51)<0.001
Reperfusion therapy in STEMI:<0.001
 Fibrinolysis80 (24)369 (32)
 Primary PCI117 (35)458 (39)
Coronary bypass graft during stay22 (3)88 (4)0.38
LMWH in first 48 hours354 (56)1421 (69)<0.001
Clopidogrel in first 48 hours490 (78)1905 (93)<0.001
Statin in first 48 hours372 (59)1721 (84)<0.001
Type of β blocker used
Acebutolol-462 (23)-
Atenolol-820 (40)-
Bisoprolol-448 (22)-
Metoprolol-208 (10)-
Other/unknown-112 (5)-
Dose of β blocker prescribed at discharge (n=1973)
<50% of optimal-416 (21)-
≥50% of optimal-1339 (68)-
Dose unknown-218 (11)-

ACE=angiotensin converting enzyme; CABG=coronary artery bypass grafting; CK=creatine kinase; CVD=cardiovascular disease; IQR=interquartile range; LBBB=left bundle branch block; LMWH=low molecular weight heparin; LVEF=left ventricular ejection fraction; MI=myocardial infarction; PCI=percutaneous coronary intervention; STEMI=ST elevation myocardial infarction; TIA= transient ischaemic attack.

Population 1: baseline characteristics according to early prescription (≤48 hours) of β blockers. Values are numbers (percentages) unless stated otherwise ACE=angiotensin converting enzyme; CABG=coronary artery bypass grafting; CK=creatine kinase; CVD=cardiovascular disease; IQR=interquartile range; LBBB=left bundle branch block; LMWH=low molecular weight heparin; LVEF=left ventricular ejection fraction; MI=myocardial infarction; PCI=percutaneous coronary intervention; STEMI=ST elevation myocardial infarction; TIA= transient ischaemic attack. Thirty day mortality was 2.3% in patients who received β blockers, compared with 8.6% in patients who did not (crude hazard ratio 0.26, 95% confidence interval 0.17 to 0.38; P<0.001), and the difference persisted after multivariable adjustment (hazard ratio 0.46, 0.26 to 0.82; P=0.008) (fig 2, panel A). In an analysis censoring patients who had died within 48 hours of admission, to avoid immortal time bias, early β blocker treatment was still associated with lower 30 day mortality (hazard ratio 0.49, 0.26 to 0.92; P=0.026). Propensity score matched cohorts yielded similar results (hazard ratio 0.57, 0.36 to 0.92; P=0.02) (supplementary fig A). Cause of death was cardiovascular in 89% of the patients, both for patients receiving and those not receiving β blockers.

Fig 2 Survival according to β blocker use. A: 30 day survival according to β blocker use during first 48 hours after admission in patients with no history of heart failure and no heart failure on admission (population 1). B: one year survival according to β blocker prescription at discharge in patients with no history of heart failure and no documented left ventricular dysfunction (population 2). C: five year survival in patients discharged taking β blockers, according to continuation of β blocker treatment at one year (population 3). HR=hazard ratio

Fig 2 Survival according to β blocker use. A: 30 day survival according to β blocker use during first 48 hours after admission in patients with no history of heart failure and no heart failure on admission (population 1). B: one year survival according to β blocker prescription at discharge in patients with no history of heart failure and no documented left ventricular dysfunction (population 2). C: five year survival in patients discharged taking β blockers, according to continuation of β blocker treatment at one year (population 3). HR=hazard ratio Sensitivity analyses excluding patients who died in the first two days after admission showed consistent results (adjusted hazard ratio 0.62, 0.31 to 1.24; P=0.18). Likewise, we saw no interaction between the pre-specified subgroups (age, sex, type of acute myocardial infarction, left ventricular ejection fraction, use of percutaneous coronary intervention) and the association of early β blocker treatment with mortality (supplementary fig B), and no difference existed according to type of β blocker used (adjusted hazard ratio ranging from 0.41 to 0.54).

β blockers at discharge and one year mortality

In the 2217 patients discharged from hospital with no history of heart failure, no heart failure during the index admission, and left ventricular ejection fraction not 40% or less, 1783 (80.4%) were treated with β blockers at discharge (fig 1). As for early β blocker users, patients with β blockers at discharge were younger and had less comorbidity than those without (supplementary table B). After propensity score matching, the two groups of 383 patients with or without β blockers at discharge were well balanced (supplementary table C). One year mortality was 3.4% in patients discharged taking β blockers compared with 7.8% in those without β blockers (crude hazard ratio 0.43, 0.28 to 0.65; P<0.001). After full adjustment, the hazard ratio was 0.77 (0.46 to 1.30; P=0.32) (fig 2, panel B). Likewise, in the propensity score matched cohorts, one year mortality was numerically lower in patients with β blockers at discharge (6.3% versus 7.3% in those without β blockers at discharge; hazard ratio 0.85, 0.50 to 1.47; P=0.57). Death from cardiovascular disease at one year was significantly lower in patients receiving β blockers at discharge (2.6% versus 5.5% in those without β blockers; P=0.044), but sudden cardiac death was similar (2.6% in each group). We found no difference in non-cardiovascular mortality (2.1% without versus 3.1% with β blockers at discharge). Subgroup analyses according to age, sex, type of myocardial infarction, and left ventricular ejection fraction (>50% and 40-50%) showed no significant interaction between β blockers at discharge and one year survival. Neither type of β blockers prescribed at discharge nor dose (28% taking moderate to high doses) was related to one year mortality after adjustment for age and GRACE score.

Continued β blocker treatment at one year and five year mortality

Among the 1783 patients with β blockers at discharge, 1383 were alive at one year and had details of their prescription available (population 3; fig 1). Of those, 153 (11.1%) had stopped their β blockers. Most of the initial characteristics were similar between patients who discontinued β blockers and those who did not; however, other secondary prevention drugs at one year were less frequently used in patients who had stopped β blockers (table 2). After propensity score matching, the two cohorts (with or without β blockers at one year) were well matched (supplementary table D).
Table 2

Population 3: characteristics of patients discharged taking β blockers and alive at one year, according to discontinuation of β blockers in first year. Values are numbers (percentages) unless stated otherwise

Without β blockers (n=153)With β blockers (n=1230)P value
Demographics
Mean (SD) age, years64.7 (13.9)63.0 (12.8)0.12
Age ≥75 years43 (28)255 (21)0.04
Female sex46 (30)327 (27)0.36
Risk factors
Hypertension82 (54)655 (53)0.94
Hypercholesterolaemia74 (48)612 (50)0.75
Current smoking46 (30)416 (34)0.35
Diabetes mellitus58 (38)361 (29)0.03
Medical history
Previous stroke or TIA8 (5)58 (5)0.78
Previous CABG8 (5)46 (4)0.37
Previous PCI17 (11)147 (12)0.76
Previous MI15 (10)133 (11)0.70
Peripheral artery disease13 (9)61 (5)0.06
Chronic kidney disease4 (3)25 (2)0.64
Chronic obstructive lung disease3 (2)14 (1)0.38
History of cancer5 (3)60 (5)0.37
Drugs before index acute MI
Antiplatelet agent32 (21)300 (24)0.34
Statin38 (25)330 (27)0.60
β blocker33 (22)310 (25)0.33
ACE inhibitor24 (16)173 (14)0.59
Angiotensin receptor blocker27 (18)197 (16)0.61
Index acute MI
STEMI80 (52)700 (57)0.28
Atrial fibrillation on first electrocardiogram5 (3)40 (3)0.99
Mean (SD) GRACE score, 6 months106 (29)101 (26)0.07
Mean (SD) GRACE score 2.0, simplified 3 years0.86 (0.15)0.88 (0.12)0.008
Median (IQR) maximal CK, IU/L428 (190-1078); (n=129)520 (203 to 1340); (n=1089)0.108
Median (IQR) LVEF, %60 (50-65); (n=112)57 (50-64); (n=949)0.238
Coronary angiography143 (93)1194 (97)0.02
Reperfusion therapy in STEMI:0.793
 Fibrinolysis28 (35)222 (32)
 Primary PCI29 (36)278 (40)
PCI114 (75)960 (78)0.32
PCI in first 48 hours75 (49)659 (54)0.29
Multivessel CAD54 (35)520 (42)0.19
LMWH in first 48 hours116 (76)872 (71)0.20
Clopidogrel in first 48 hours142 (93)1158 (94)0.51
β blocker in first 48 hours131 (86)1091 (89)0.26
LVEF >50%81/112 (72)662/950 (70)0.56
Recurrent MI1 (1)16 (1)0.49
Stroke1 (1)3 (0.2)0.37
Major bleeding4 (3)12 (1)0.07
Ventricular fibrillation0 (0)14 (1)0.18
Recurrent acute MI or stroke
During first year6 (4)41 (3)0.70
Drugs at 1 year
Statin99 (65)1094 (89)<0.001
Aspirin107 (70)1094 (89)<0.001
Clopidogrel90 (59)964 (78)<0.001
ACE inhibitor74 (48)747 (61)0.003
Angiotensin receptor blocker18 (12)180 (15)0.34
Type of β blocker at 1 year
Acebutolol-270 (22)-
Atenolol-401 (33)-
Bisoprolol-361 (29)-
Metoprolol-91 (7)-
Other/unknown-107 (9)-

ACE=angiotensin converting enzyme; CABG=coronary artery bypass grafting; CAD=coronary artery disease; CK=creatine kinase; IQR=interquartile range; LBBB=left bundle branch block; LMWH=low molecular weight heparin; LVEF=left ventricular ejection fraction; MI=myocardial infarction; PCI=percutaneous coronary intervention; STEMI=ST elevation myocardial infarction; TIA=transient ischaemic attack.

Population 3: characteristics of patients discharged taking β blockers and alive at one year, according to discontinuation of β blockers in first year. Values are numbers (percentages) unless stated otherwise ACE=angiotensin converting enzyme; CABG=coronary artery bypass grafting; CAD=coronary artery disease; CK=creatine kinase; IQR=interquartile range; LBBB=left bundle branch block; LMWH=low molecular weight heparin; LVEF=left ventricular ejection fraction; MI=myocardial infarction; PCI=percutaneous coronary intervention; STEMI=ST elevation myocardial infarction; TIA=transient ischaemic attack. Five year mortality was 7.6% in patients still taking β blockers at one year, compared with 9.2% in those who were no longer taking β blockers at one year (crude hazard ratio 0.79, 0.45 to 1.38; P=0.41). The adjusted hazard ratio was 1.19 (0.65 to 2.18; P=0.57) (fig 2, panel C). Cause of death was non-cardiovascular in a similar percentage of the patients with (45%) or without (35%) β blockers at one year. The adjusted hazard ratio for documented cardiovascular death was 0.90, and that for death of non-cardiovascular or unknown cause was 0.99 (0.47 to 2.05). Sudden cardiac death was documented in 0.7% of the patients who had stopped β blockers, compared with 0.6% of those still taking β blockers at one year. The results were consistent across all subgroups (supplementary fig C), as well as in the propensity score matched cohorts (hazard ratio 1.10, 0.41 to 2.97; P=0.85) (supplementary fig D). No heterogeneity existed according to type of β blocker used. Five year risk of death, recurrent myocardial infarction, or stroke was 13.7% in patients without and 10.9% in patients with persistent β blocker treatment at one year: crude hazard ratio 0.76 (0.48 to 1.21; P=0.25); adjusted hazard ratio 1.02 (0.62 to 1.09; P=0.94). In the sensitivity analysis in three year survivors, according to persistence of β blocker treatment at three years, the hazard ratio for five year mortality was 1.32 (0.51 to 3.37; P=0.51) for patients with continued treatment, compared with those with permanent discontinuation at one and three years.

Statin discontinuation after discharge and five year mortality

Among the 1256 patients who received statins and β blockers at hospital discharge, 136 (10.8%) had stopped statin treatment at one year. Five year mortality was 5.8% in patients still taking statins at one year, compared with 16.9% in those who had stopped (crude hazard ratio 0.32, 0.20 to 0.51; P<0.001); the adjusted hazard ratio was 0.42 (0.25 to 0.72; P=0.001) (supplementary fig E). Cause of death was non-cardiovascular in 56% of the patients without statins at one year, compared with 36% of those taking statins at one year. Propensity score matched cohorts showed consistent results (supplementary fig F). Five year risk of death, recurrent myocardial infarction, or stroke was 21.3% in those who had stopped statins at one year versus 10.4% in those with continued statin treatment: crude hazard ratio 0.46 (0.31 to 0.68; P<0.001); adjusted hazard ratio 0.57 (0.37 to 0.88; P=0.01).

Discussion

The main findings of our study are that early use of β blocker treatment is related to a substantial reduction in risk of 30 day mortality in patients with acute myocardial infarction without heart failure, whereas its use at discharge is associated with a non-significant reduction in one year mortality. Stopping β blocker treatment in the year after the acute myocardial infarction was not related to a higher risk of mortality up to five years, in contrast with the increased five year mortality observed in those patients who stopped statin treatment. No heterogeneity existed across subgroups, and the data were consistent whatever the type and dose of β blocker used. These observations suggest a progressively decreasing benefit of β blocker treatment over time.

Initial randomised trials and their effect on guidelines

Most of the evidence on β blockers in patients with acute myocardial infarction dates back to the pre-reperfusion era; β blockers reduced mortality both acutely and in the long term.3 This has been the basis for a high level of recommendations in both European and American guidelines.12 13 Recently, however, European guidelines, taking into account the fact that evidence on the usefulness of β blockers in the contemporary era was lacking, have downgraded the level of recommendation from class I to IIa,8 whereas the American guidelines still give the highest level of recommendation for β blockers, both in ST elevation myocardial infarction and non-ST elevation acute coronary syndromes.6 7 The most recent meta-analysis of β blockers in acute myocardial infarction found that these agents reduced mortality before the reperfusion era, whereas this was no longer the case in the reperfusion era.9 Data in the reperfusion era, however, mostly rely on the results of the large COMMIT trial,4 in which metoprolol (intravenous followed by oral administration) had no effect on mortality but reduced the risk of recurrent myocardial infarction at 28 days, in a population in whom primary percutaneous coronary intervention was not used and fibrinolysis was administered in only 55%; of note, and in keeping with our results, early β blocker treatment was associated with numerically lower 28 day mortality in patients who were Killip class I at entry. Overall, however, very little information on the effects of β blockers beyond the first month in the reperfusion era is available from randomised trials.

Comparison with other observational studies

Most recent information comes from observational cohorts. Twenty years ago, the Cooperative Cardiovascular project found that one third of more than 200 000 Medicare patients with acute myocardial infarction, of whom only a minority had reperfusion therapy, were discharged taking β blockers; prescription of β blockers at discharge was associated with improved survival at 24 months, particularly in high risk groups, and to a greater extent in the case of non-transmural infarction.14 Other registries, such as GRACE in non-ST elevation myocardial infarction patients or the Korean registry in patients with primary percutaneous coronary intervention, showed that β blocker prescription at discharge was associated with lower mortality at six months (GRACE) and up to three years (Korean registry).15 16 In the Prospective Registry Evaluating Myocardial Infarction: Event and Recovery (PREMIER) registry,17 early discontinuation of β blockers (one month after acute myocardial infarction) was associated with a twofold increase in mortality at one year. In the Ontario reimbursement database,18 poor adherence to β blockers (<40% of days covered) in the year after acute myocardial infarction in older patients was associated with increased mortality (hazard ratio 1.13, 95% confidence interval 1.03 to 1.25). A similar trend was observed in the Reduction of Atherothrombosis for Continued Health (REACH) registry,19 for patients with a myocardial infarction within one year of inclusion (hazard ratio for cardiovascular death, myocardial infarction, or stroke 0.79 (0.60 to 1.04) in patients receiving β blockers). Thus, the data from our study on one year mortality according to prescription of β blockers at discharge seem to be consistent with previous findings suggesting the beneficial effect of early β blocker treatment on survival in the first months after the acute episode, even in contemporary populations with high rates of primary percutaneous coronary intervention. Recently, the Outcomes of β-blocker Therapy After Myocardial Infarction (OBTAIN) registry studied the association between dose of β blocker and two year survival in 6682 patients discharged after an ST elevation or non-ST elevation myocardial infarction.20 Mortality was lower in patients discharged taking β blockers but was not significantly related to β blocker dose. Data on the role of β blocker treatment after the first months following acute myocardial infarction are even more limited and suggest that it has less (if any) effect on major cardiovascular outcomes. In the REACH registry,19 the risk of cardiovascular death, myocardial infarction, or stroke at 44 months associated with β blocker use did not differ either in the whole cohort of patients with previous myocardial infarction (hazard ratio 0.90, 0.79 to 1.03) or among those with coronary artery disease and no history of myocardial infarction (0.92, 0.79 to 1.08). In both groups, the risk of death was slightly, and not significantly, reduced in patients treated with β blockers, whereas the risk of myocardial infarction was slightly increased. Specific results in patients with a history of acute myocardial infarction more than one year before inclusion were not reported. Likewise, in the Kaiser Permanente database analysis of patients with newly diagnosed coronary artery disease (acute coronary syndrome or myocardial revascularisation),21 mortality was significantly higher when the patients were not taking β blockers, compared with taking β blockers, but with a strong interaction with the presence of recent myocardial infarction. β blockers were significantly associated with decreased mortality in patients with a recent myocardial infarction (hazard ratio 0.85, 0.79 to 0.92), but no increase in mortality was seen in patients with either an older history of myocardial infarction or no myocardial infarction (hazard ratio 1.02, 0.91 to 1.15). Again, specific results in patients with an acute myocardial infarction more than one year previously were not reported. Finally, when we analysed the outcomes of patients with a history of heart failure or low ejection fraction (that is, those not included in the main analysis) who had stopped β blockers during the first year, we found results concordant with what would be expected from the results of randomised trials in patients with heart failure/low ejection fraction, with a strong association with a higher five year mortality (adjusted hazard ratio 2.11, 1.16 to 3.83; P=0.014).

Limitations of study

As in all observational studies, this analysis has limitations. At the acute stage, the most severely ill patients less often receive β blockers, and statistical techniques may not be sufficient to adjust completely for these confounders, thereby increasing the measured favourable association between early β blocker treatment and mortality. Conversely, because only a minority of patients did not receive β blockers at discharge and a smaller minority still discontinued β blockers during the first year, we cannot exclude the possibility that unusual, and therefore unmeasured, confounders explaining the absence of prescription or discontinuation of treatment existed. However, FAST-MI provided very detailed characterisation of the patients, making it unlikely that major confounders were not recorded. In addition, unrecorded confounders would probably have been similar for statins and β blockers. Also, we did not do a formal sample size calculation for our analysis, and the limited size of our population increases the risk of a type B error and of an underestimation of the potential benefit of β blockers, especially during the first year. Therefore, the lack of statistical significance for β blocker prescription at discharge cannot be considered proof of its lack of effect. Likewise, subgroup analyses or analyses according to type or dose of β blockers should be interpreted with caution. More importantly, most observational data have shown that patients who adhere to preventive drugs are more “health conscious” than those who do not adhere,22 23 24 with a less severe profile, including their socioeconomic status, and an overall better prognosis, thus leading to a “healthy user” bias (in other words, adherence to any drug in itself is associated with higher survival). In this regard, the striking difference between mortality in patients who stopped β blockers and those who stopped statins (granting that patients stopping β blockers were also more likely to stop other recommended drugs such as statins) suggests that the lack of prognostic significance of β blocker discontinuation at one year is unlikely to have been affected by such a bias.

Conclusions

The results presented suggest a decrease over time in the effect of β blocker treatment on survival in patients with acute myocardial infarction without heart failure or left ventricular dysfunction. Early use of β blockers at the acute stage of myocardial infarction was associated with a substantial decrease in 30 day mortality, whereas prolonged β blocker treatment beyond one year is unlikely to improve survival. Most randomised controlled trials of β blockers after acute myocardial infarction were conducted before the era of reperfusion therapy and modern secondary prevention Their usefulness in patients currently treated for acute myocardial infarction with preserved left ventricular function is debated, leading to divergences between European and American guidelines This analysis from a nationwide French registry shows a decrease over time in the association of β blocker treatment with survival in acute myocardial infarction patients without heart failure or left ventricular dysfunction Early use of β blockers at the acute stage of myocardial infarction seems to be associated with a substantial decrease in 30 day mortality Prolonged β blocker treatment beyond one year is unlikely to improve survival
  24 in total

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Journal:  Am Heart J       Date:  2006-12       Impact factor: 4.749

2.  Comparison of the beneficial effect of beta-blockers on mortality in patients with ischaemic or non-ischaemic systolic heart failure: a meta-analysis of randomised controlled trials.

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Journal:  J Am Coll Cardiol       Date:  2014-07-22       Impact factor: 24.094

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Journal:  Lancet       Date:  2005-11-05       Impact factor: 79.321

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Journal:  Am J Med       Date:  2014-06-11       Impact factor: 4.965

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Journal:  Ann Intern Med       Date:  2001-04-03       Impact factor: 25.391

8.  β-Blocker use and clinical outcomes in stable outpatients with and without coronary artery disease.

Authors:  Sripal Bangalore; Gabriel Steg; Prakash Deedwania; Kevin Crowley; Kim A Eagle; Shinya Goto; E Magnus Ohman; Christopher P Cannon; Sidney C Smith; Uwe Zeymer; Elaine B Hoffman; Franz H Messerli; Deepak L Bhatt
Journal:  JAMA       Date:  2012-10-03       Impact factor: 56.272

9.  The French registry of Acute ST elevation or non-ST-elevation Myocardial Infarction (FAST-MI): study design and baseline characteristics.

Authors:  J-P Cambou; T Simon; G Mulak; V Bataille; N Danchin
Journal:  Arch Mal Coeur Vaiss       Date:  2007 Jun-Jul

10.  Effect of Beta-Blocker Dose on Survival After Acute Myocardial Infarction.

Authors:  Jeffrey J Goldberger; Robert O Bonow; Michael Cuffe; Lei Liu; Yves Rosenberg; Prediman K Shah; Sidney C Smith; Haris Subačius
Journal:  J Am Coll Cardiol       Date:  2015-09-29       Impact factor: 24.094

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1.  Pharmacotherapy: Current role of β-blockers after MI in patients without HF.

Authors:  Debabrata Mukherjee; Kim A Eagle
Journal:  Nat Rev Cardiol       Date:  2016-10-27       Impact factor: 32.419

2.  Outcomes in patients after myocardial infarction similar to those of the PEGASUS-TIMI 54 trial: A cohort study in the French national claims database.

Authors:  Patrick Blin; Caroline Dureau-Pournin; Régis Lassalle; Jérémy Jové; Florence Thomas-Delecourt; Cécile Droz-Perroteau; Nicolas Danchin; Nicholas Moore
Journal:  Br J Clin Pharmacol       Date:  2017-05-05       Impact factor: 4.335

3.  Poor adherence to beta-blockers is associated with increased long-term mortality even beyond the first year after an acute coronary syndrome event.

Authors:  Jaakko Allonen; Markku S Nieminen; Juha Sinisalo
Journal:  Ann Med       Date:  2020-03-17       Impact factor: 4.709

4.  Effectiveness of beta blockers in patients with and without a history of myocardial infarction.

Authors:  Sanjay Verma; Edward L Peterson; Bin Liu; Hani N Sabbah; L Keoki Williams; David E Lanfear
Journal:  Eur J Clin Pharmacol       Date:  2020-05-22       Impact factor: 2.953

5.  Combination Antihypertensive Therapy Prescribing and Blood Pressure Control in a Real-World Setting.

Authors:  Oyunbileg Magvanjav; Rhonda M Cooper-Dehoff; Caitrin W McDonough; Yan Gong; William R Hogan; Julie A Johnson
Journal:  Am J Hypertens       Date:  2020-04-01       Impact factor: 2.689

Review 6.  Beta-Blockers, Calcium Channel Blockers, and Mortality in Stable Coronary Artery Disease.

Authors:  Jose B Cruz Rodriguez; Haider Alkhateeb
Journal:  Curr Cardiol Rep       Date:  2020-01-29       Impact factor: 2.931

7.  Beta-blockers for suspected or diagnosed acute myocardial infarction.

Authors:  Sanam Safi; Naqash J Sethi; Emil Eik Nielsen; Joshua Feinberg; Janus C Jakobsen; Christian Gluud
Journal:  Cochrane Database Syst Rev       Date:  2019-12-17

8.  Using Smart Technology to Improve Outcomes in Myocardial Infarction Patients: Rationale and Design of a Protocol for a Randomized Controlled Trial, The Box.

Authors:  Roderick Willem Treskes; Louise Anna van Winden; Nicole van Keulen; Douwe Ekke Atsma; Enno Tjeerd van der Velde; Elske van den Akker-van Marle; Bart Mertens; Martin Jan Schalij
Journal:  JMIR Res Protoc       Date:  2017-09-22

9.  Effect of β-Blockers Beyond 3 Years After Acute Myocardial Infarction.

Authors:  Jin Joo Park; Sun-Hwa Kim; Si-Hyuck Kang; Chang-Hwan Yoon; Young-Seok Cho; Tae-Jin Youn; In-Ho Chae; Dong-Ju Choi
Journal:  J Am Heart Assoc       Date:  2018-03-03       Impact factor: 5.501

10.  β-Blockers and Mortality After Acute Myocardial Infarction in Patients Without Heart Failure or Ventricular Dysfunction.

Authors:  Tatendashe B Dondo; Marlous Hall; Robert M West; Tomas Jernberg; Bertil Lindahl; Hector Bueno; Nicolas Danchin; John E Deanfield; Harry Hemingway; Keith A A Fox; Adam D Timmis; Chris P Gale
Journal:  J Am Coll Cardiol       Date:  2017-06-06       Impact factor: 27.203

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