| Literature DB >> 35473676 |
Xue-Song Wen1, Rui Luo1, Jie Liu1, Qin Duan2, Shu Qin1, Jun Xiao3, Dong-Ying Zhang4.
Abstract
BACKGROUND: The role of beta-blockers in acute myocardial infarction patients without heart failure and with preserved left ventricular ejection fraction (LVEF ≥ 50%) is unknown. Our study aimed to retrospectively analyze the associations of beta-blockers on such patients.Entities:
Keywords: Acute myocardial infarction; Beta-blockers; Heart failure; Left ventricular ejection fraction
Mesh:
Substances:
Year: 2022 PMID: 35473676 PMCID: PMC9044853 DOI: 10.1186/s12872-022-02631-8
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.174
Fig. 1Flow diagram of patients recruitment. *207 patients with AMI were lost to follow-up, of which 168 patients could not be contacted again and 39 patients refused to communicate when contacted by phone
Baseline characteristics of patients discharged with beta-blockers and without beta-blockers
| Variables | Discharged with beta-blockers (N = 2049) | Discharged without beta-blockers (N = 470) | |
|---|---|---|---|
| Age, years | 62.0 (52.0–70.0) | 64.0 (55.0–73.0) | < 0.001 |
| Age ≥ 75 years | 295 (14.4%) | 101 (21.5%) | < 0.001 |
| Male sex | 1624 (79.3%) | 378 (80.4%) | 0.613 |
| Body mass index (kg/m2) | 24.3 (22.4–26.6) | 23.4 (21.5–25.7) | < 0.001 |
| Body mass index ≥ 30.0 | 96 (4.9%)79 | 17 (3.7%) | 0.326 |
| Onset time | 11.0 (4.0–48.0) | 12.0 (4.0–48.0) | 0.869 |
| Hypertension | 1147 (56.0%) | 249 (53.0%) | 0.258 |
| Diabetes mellitus | 643 (31.4%) | 138 (29.4%) | 0.407 |
| Hyperlipidemia | 424 (20.7%) | 80 (17.0%) | 0.074 |
| Cigarette smoking | 1337 (65.3%) | 316 (67.2%) | 0.420 |
| Family history of CAD | 120 (5.9%) | 23 (4.9%) | 0.507 |
| Previous CAD | 61 (3.0%) | 10 (2.1%) | 0.357 |
| Chronic kidney disease | 83 (4.1%) | 17 (3.6%) | 0.793 |
| Previous stroke or TIA | 123 (6.0%) | 45 (9.6%) | 0.007 |
| Atrial fibrillation | 70 (3.4%) | 29 (6.2%) | 0.005 |
| Peripheral vascular disease | 21 (1.0%) | 2 (0.4%) | 0.288 |
| Malignant tumor | 39 (1.9%) | 8 (1.7%) | 1.000 |
| STEMI | 1324 (64.6%) | 297 (63.2%) | 0.558 |
| Anterior MI | 715 (54.0%) | 76 (25.6%) | < 0.001 |
| Inferior/ Posterior MI | 639 (48.3%) | 221 (74.4%) | < 0.001 |
| Other sites MI | 214 (16.2%) | 41 (13.8%) | < 0.001 |
| Killip class ≥ II | 226 (11.0%) | 56 (11.9%) | 0.571 |
| Coronary angiography | 1939 (94.6%) | 434 (92.3%) | 0.062 |
| Thrombolytic therapy | 48 (2.3%) | 13 (2.8%) | 0.617 |
| PTCA therapy | 63 (3.1%) | 18 (3.8%) | 0.386 |
| PCI therapy | 1673 (81.6%) | 331 (70.4%) | < 0.001 |
| PCI within 72 h | 1128 (55.1%) | 236 (50.2%) | 0.065 |
| Other PCI | 545 (26.6%) | 95 (20.2%) | 0.004 |
| Coronary artery bypass grafting | 2 (0.1%) | 2 (0.4%) | 0.160 |
| Timely reperfusion therapy | 721 (35.2%) | 152 (32.3%) | 0.259 |
| Total revascularization | 1685 (82.2%) | 333 (70.9%) | < 0.001 |
| Admission heart rate (beats/min) | 79.0 (70.0–90.0) | 70.0 (60.0–78.0) | < 0.001 |
| Heart rate > 110 beats/min | 69 (3.4%) | 6 (1.3%) | 0.015 |
| Admission SBP (mm Hg) | 131.0 (115.0–149.0) | 123.5 (107.0–141.0) | < 0.001 |
| Admission SBP < 90 mm Hg | 58 (2.8%) | 29 (6.2%) | 0.001 |
| Admission DBP (mm Hg) | 79.0 (69.0–90.0) | 73.0 (64.0–82.0) | < 0.001 |
| Peak CK-MB (ug/L) | 16.5 (3.6–55.6) | 13.6 (3.0–48.8) | 0.039 |
| Peak troponin-I (ng/mL) | 1.24 (0.23–7.07) | 1.32 (0.22–6.81) | 0.986 |
| HbA1c (%) | 6.1 (5.7–7.0) | 5.9 (5.6–6.6) | 0.004 |
| Blood urea nitrogen (mmol/L) | 5.4 (4.5–6.7) | 5.8 (4.6–7.1) | 0.001 |
| Creatinine (umol/L) | 74.0 (63.0–88.0) | 76.0 (65.0–88.5) | 0.101 |
| eGFR (mL/min/1.73m2) | 94.6 (76.6–107.6) | 92.0 (73.5–103.8) | 0.005 |
| eGFR < 60 mL/min/1.73m2 | 246 (12.2%) | 52 (11.2%) | 0.634 |
| Low-density lipoprotein (mg/dl) | 2.75 (2.19–3.36) | 2.59 (2.06–3.08) | < 0.001 |
| LVEF (%) | 58.0 (55.0–62.0) | 60.0 (56.0–63.0) | 0.001 |
| Cardiac aneurysm | 28 (1.8%) | 6 (1.6%) | 1.000 |
| Aspirin | 1905 (93.0%) | 425 (90.4%) | 0.065 |
| Clopidogrel/ticagrelor | 2024 (98.8%) | 455 (96.8%) | 0.006 |
| DAPT | 1888 (92.2%) | 413 (87.9%) | 0.004 |
| Statin | 2023 (98.7%) | 463 (98.5%) | 0.656 |
| ACEI/ ARB/ ARNI | 1528 (74.6%) | 264 (56.2%) | < 0.001 |
| Oral anticoagulant | 34 (1.7%) | 11 (2.3%) | 0.333 |
CAD, coronary atherosclerotic heart disease; TIA, transient ischemic attacks; STEMI, ST-segment elevation myocardial infarction; MI, myocardial infarction; PTCA, percutaneous transluminal coronary angioplasty; PCI, percutaneous coronary intervention; SBP, systolic blood pressure; DBP, diastolic blood pressure; CK-MB, creatine kinase isoenzyme MB; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; DAPT, dual antiplatelet therapy; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor enkephalin inhibitor
Association of beta-blockers with outcomes in the short-term
| Variables | With beta-blockers | Without beta-blockers | Crude HR | Adjusted HRa | ||
|---|---|---|---|---|---|---|
| N = 2049 | N = 470 | |||||
| No. of patients with event (n, %) | No. of patients with event (n, %) | (95% CI) | (95% CI) | |||
| One year after discharge (n = 2482) | ||||||
| All-cause mortality | 27/2018 (1.3%) | 9/464 (1.9%) | 0.69 (0.32–1.46) | 0.330 | 1.02 (0.43–2.40) | 0.966 |
| Rehospitalization for any reason | 299/1977 (15.1%) | 88/459 (19.2%) | 0.76 (0.60–0.97) | 0.026 | 0.83 (0.60–1.15) | 0.258 |
| Cardiac death | 15/2018 (0.7%) | 5/464 (1.1%) | 0.69 (0.25–1.89) | 0.469 | 1.25 (0.37–4.25) | 0.719 |
| Rehospitalization for MI | 22/2011 (1.1%) | 13/464 (2.8%) | 0.39 (0.20–0.77) | 0.007 | 0.44 (0.20–0.97) | 0.043 |
| Rehospitalization for HF | 34/2015 (1.7%) | 9/464 (1.9%) | 0.87 (0.42–1.82) | 0.712 | 2.14 (0.98–4.69) | 0.057 |
| MACE | 61/2009 (3.0%) | 25/464 (5.4%) | 0.56 (0.35–0.89) | 0.014 | 0.80 (0.45–1.41) | 0.434 |
This study analyzed the relationship between beta-blockers and short-term outcomes, using univariate COX regression and propensity score IPTW
MI, myocardial infarction; HF, heart failure; MACE, major adverse cardiovascular events; HR, hazard ratio; NA, not applicable; ref, reference
aCorrection was performed using propensity score inverse probability treatment weighting (IPTW), included variables were sex, age, time of onset, LVEF, type of myocardial infarction, admission heart rate, admission systolic blood pressure, admission diastolic blood pressure, body mass index (BMI), site of myocardial infarction, Killip ≥ II, history of hypertension, history of diabetes mellitus, history of chronic kidney disease, history of coronary artery disease (CAD), family history of CAD, history of stroke, history of peripheral vascular disease, history of hyperlipidemia, history of smoking, history of tumor, atrial fibrillation, coronary angiography, PTCA therapy, PCI therapy, thrombolytic therapy, type of PCI, timely reperfusion therapy, total reperfusion therapy, CKMB, TnI, HbA1c, blood urea nitrogen, creatinine, eGFR, LDL-c, cardiac aneurysm, anticoagulants, aspirin, clopidogrel/ticagrelor, dual antiplatelet therapy, statins, ACEI/ARB/ARNI
Fig. 2Kaplan–Meier survival estimates. a, b Demonstrate the short-term (follow-up, one year, N = 2482) association between beta-blockers and all-cause mortality/recurrent myocardial infarction. A log-rank test was used. The results suggest that there was no statistically significant association between discharge prescription of beta-blockers and risk of all-cause mortality and a statistically significant association between discharge prescription of beta-blockers and reduced risk of recurrent myocardial infarction. c, d Demonstrate the long-term (median follow-up, 3.75 years, N = 2519) association between beta-blockers and all-cause mortality/recurrent myocardial infarction. A log-rank test was used. The results suggest that there was no statistically significant association between discharge prescription of beta-blockers and risk of all-cause mortality/ recurrent myocardial infarction. IPTW correction: based on propensity score with inverse probability treatment weighting (IPTW), adjusted for factors as described in Table 2
Association of beta-blockers with outcomes in the long-term
| Events | Discharged with beta-blockers (N = 2049) | Discharged without beta-blockers (N = 470) | |
|---|---|---|---|
| No. of patients with eventa | 166/2049 (8.1%) | 39/470 (8.3%) | |
| Unadjusted HR (95% CI) | 0.87 (0.61–1.23) | 1.00 (ref) | 0.430 |
| Adjusted HR (95% CI)a | 1.17 (0.70–1.94) | 1.00 (ref) | 0.547 |
| No. of patients with event | 718/2008 (35.8%) | 192/465 (41.3%) | |
| Unadjusted HR (95% CI) | 0.76 (0.65–0.90) | 1.00 (ref) | < 0.001 |
| Adjusted HR (95% CI) | 0.94 (0.73–1.20) | 1.00 (ref) | 0.605 |
| No. of patients with event | 100/2049 (4.9%) | 24/470 (5.1%) | |
| Unadjusted HR (95% CI) | 0.85 (0.55–1.33) | 1.00 (ref) | 0.485 |
| Adjusted HR (95%CI) | 1.36 (0.80–2.33) | 1.00 (ref) | 0.254 |
| No. of patients with event | 76/2042 (3.7%) | 20/470 (4.3%) | |
| Unadjusted HR (95% CI) | 0.80 (0.49–1.31) | 1.00 (ref) | 0.381 |
| Adjusted HR (95%CI) | 1.11 (0.61–2.03) | 1.00 (ref) | 0.735 |
| No. of patients with event | 124/2046 (6.1%) | 25/470 (5.3%) | |
| Unadjusted HR (95% CI) | 1.06 (0.69–1.62) | 1.00 (ref) | 0.808 |
| Adjusted HR (95% CI) | 1.63 (0.98–2.70) | 1.00 (ref) | 0.073 |
| No. of patients with event | 230/2040 (11.3%) | 53/470 (11.3%) | |
| Unadjusted HR (95% CI) | 0.91 (0.68–1.23) | 1.00 (ref) | 0.549 |
| Adjusted HR (95%CI) | 1.35 (0.93–1.98) | 1.00 (ref) | 0.116 |
This study analyzed the relationship between beta-blockers and long-term outcomes. Univariate Cox analysis and propensity score IPTW corrected was performed (N = 2519)
AMI, acute myocardial infarction; LVEF, left ventricular ejection infraction; MACE, major adverse cardiovascular events; HR, hazard ratio; ref, reference
aCorrection was performed using propensity score inverse probability treatment weighting (IPTW), included variables were sex, age, time of onset, LVEF, type of myocardial infarction, admission heart rate, admission systolic blood pressure, admission diastolic blood pressure, body mass index (BMI), site of myocardial infarction, Killip ≥ II, history of hypertension, history of diabetes mellitus, history of chronic kidney disease, history of coronary artery disease (CAD), family history of CAD, history of stroke, history of peripheral vascular disease, history of hyperlipidemia, history of smoking, history of tumor, atrial fibrillation, coronary angiography, PTCA therapy, PCI therapy, thrombolytic therapy, type of PCI, timely reperfusion therapy, total reperfusion therapy, CKMB, TnI, HbA1c, blood urea nitrogen, creatinine, eGFR, LDL-c, cardiac aneurysm, anticoagulants, aspirin, clopidogrel/ticagrelor, dual antiplatelet therapy, statins, ACEI/ARB/ARNI
Fig. 3Subgroups analysis. The association of beta-blockers with all-cause mortality was analyzed in different subgroups (N = 2519). In this study, no statistically significant association between beta-blockers and subgroups was observed, and there was no interaction. The P-values were adjusted with propensity score inverse probability treatment weighting (IPTW), and the adjusted factors are shown in Table 2