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. 2021 Mar 11;11:5753. doi: 10.1038/s41598-021-85301-7

Atrial high‑rate episodes and risk of major adverse cardiovascular events in patients with dual chamber permanent pacemakers: a retrospective study

Wei-Da Lu 1, Ju-Yi Chen 1,
PMCID: PMC7952691  PMID: 33707593

Abstract

Patients with atrial high-rate episodes (AHRE) are at higher risk of major adverse cardiovascular events (MACE). The cutoff threshold for AHRE duration for MACE, with/without history of atrial fibrillation (AF) or myocardial infarction (MI), is unknown. A total of 481 consecutive patients with/without history of AF or MI receiving dual-chamber pacemaker implantation were included. The primary outcome was a composite endpoint of MACE after AHRE ≥ 5 min, ≥ 6 h, and ≥ 24 h. AHRE was defined as > 175 bpm (MEDTRONIC) or > 200 bpm (BIOTRONIK) lasting ≥ 5 min. Cox regression analysis with time-dependent covariates was conducted. Patients’ mean age was 75.3 ± 10.7 years and 188 (39.1%) developed AHRE ≥ 5 min, 115 (23.9%) ≥ 6 h, and 83 (17.3%) ≥ 24 h. During follow-up (median 39.9 ± 29.8 months), 92 MACE occurred (IR 5.749%/year, 95% CI 3.88–5.85). AHRE ≥ 5 min (HR 5.252, 95% CI 2.575–10.715, P < 0.001) and ≥ 6 h (HR 2.548, 95% CI 1.284–5.058, P = 0.007) was independently associated with MACE, but not AHRE ≥ 24 h. Patients with history of MI (IR 17.80%/year) had higher MACE incidence than those without (IR 3.77%/year, p = 0.001). Significant differences were found between MACE patients with/without history of AF in AHRE ≥ 5 min but not AHRE ≥ 6 h or ≥ 24 h. Patients with dual-chamber pacemakers who develop AHRE have increased risk of MACE, particularly after history of AF or MI.

Subject terms: Cardiology, Medical research

Introduction

Atrial fibrillation (AF) is a common arrhythmia encountered in clinical practice and is a major cause of preventable thromboembolic disease, namely stroke or systemic embolism1. Paroxysmal atrial fibrillation (PAF), which is diagnosed by 12-lead electrocardiography, is transient and infrequent, and may be asymptomatic. The increased use of cardiac implantable electronic devices (CIEDs) has provided the technical ability to monitor atrial rhythm long term, and recent studies have focused on subclinical AF or atrial high-rate episodes (AHRE) detected by CIEDs, even in asymptomatic patients. Results of some studies have demonstrated that AHRE is associated with an increased risk of thromboembolic events2. Increased risk of major adverse cardiovascular events (MACE) also have been studied in patients with AF3 and occasionally those with AHRE4. However, the impact of both history of AF or myocardial infarction (MI) and the duration of AHRE on MACE lacks sufficient evidence to reach a conclusion.

Accordingly, we retrospectively examined the associations between different cutoff durations of AHRE and the incidence rates of MACE in patients with dual chamber permanent pacemakers with or without history of AF or MI.

Methods

Patients ≥ 18 years of age with dual chamber permanent pacemakers (MEDTRONIC or BIOTRONIK) who were treated in the Cardiology Department of National Cheng Kung University Hospital from January 2015 to August 2019 were recruited. The procedures followed were in accordance with the “Declaration of Helsinki” and the ethical standards of the responsible committee on human experimentation (the Institutional Review Board of National Cheng Kung University Hospital, Tainan, Taiwan (B-ER-108-278)). All included patients provided signed informed consent to participate.

Data collection and definitions

Patients’ medical history and data of co-morbidities and echocardiographic parameters were collected from chart records for retrospective evaluation. Diabetes mellitus was defined by the presence of symptoms and a casual plasma glucose concentration ≥ 200 mg/dL, fasting plasma glucose concentration ≥ 126 mg/dL, 2-h plasma glucose concentration ≥ 200 mg/dL from a 75-g oral glucose tolerance test, or taking medication for diabetes mellitus, as previously described5. Hypertension was defined as in-office systolic blood pressure (SBP) values ≥ 140 mmHg and/or diastolic BP (DBP) values ≥ 90 mmHg or taking antihypertensive medication6. Dyslipidemia was defined as low-density lipoprotein ≥ 140 mg/dL, high-density lipoprotein < 40 mg/dL, triglycerides ≥ 150 mg/dL, or taking medication for dyslipidemia7. Chronic kidney disease was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/ min / 1.73 m28. Acute coronary syndrome was defined as either an acute myocardial infarction (AMI; ST-elevation MI or non-ST elevation MI) or unstable angina9. Patients with previous ischemic stroke or transient ischemic attack were considered to have cerebrovascular disease. The history of AF was defined as any documented AF in 12-lead electrocardiography (ECG) or Holter recordings, before the date of pacemaker implantation. AHRE were extracted from the devices via telemetry at each office visit every 3 to 6 months4. AHRE electrograms were reviewed by at least one experienced electrophysiologist, who cautiously considered the possibility that AHRE included lead noise, far-field R-waves, or other supraventricular tachy-arrhythmias and visually verified AF in the detected AHRE. Atrial sensitivity was initially programmed to 0.2 mV with bipolar sensing of BIOTRONIK and 0.3 mV with bipolar sensing of MEDTRONIC.

The primary endpoint for this study was the occurrence of MACE as recorded in patients’ charts after the date of implantation of pacemakers, including ST elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), unstable angina, heart failure with acute exacerbation4, cardiovascular hospitalization (peripheral artery disease or stable angina) and cardiac death. AHRE was defined as atrial rate > 175 bpm (MEDTRONIC) or > 200 bpm (BIOTRONIK) and lasting for at least 5 min of atrial tachyarrhythmia recorded by the devices on any day during the study period. We also divided the different AHRE durations by time, including ≥ 5 min, ≥ 6 h and ≥ 24 h, to evaluate the cutoff threshold for MACE. If the patient had multiple AHREs, the longest AHRE duration was used for analysis. Then, if the patient’s longest AHRE duration was 24 h, this patient would be counted in AHRE ≥ 5 min, ≥ 6 h, and ≥ 24 h.

Statistical analysis

Among baseline characteristics, categorical variables are presented as percentages. Continuous variables are presented as means and standard deviations if normally distributed and median, interquartile range (IQR) if not normally distributed. Chi-square test or Fisher’s exact test was used for categorical variables, and a 2-sample student’s t test for normally distributed continuous variables or Mann–Whitney U test if not normally distributed. The receiver-operating characteristic (ROC) area under the curve (AUC) of AHRE and the associated 95% confidence intervals (CI) were investigated for associations with future MACE. The cutoff values were chosen based on the results of ROC curve analysis and used to evaluate the associated values of AHRE, in minutes, for determining endpoints. Cox regression analysis was used to identify variables associated with AHRE occurrence, reported as hazard ratios with 95% confidence intervals (CI). Indicators of AHRE ≥ 5 min, ≥ 6 h, and ≥ 24 h were determined separately as time-dependent covariates in multivariable Cox proportional hazards regression and survival curves were generated for patients without MACE. If the p value in univariable analysis was < 0.05, the parameter was entered into multivariable analysis, except for devices, which were essential confounders because of different detecting rates in AHRE definitions. Because LVEF was significantly associated with heart failure (Tables 3 and 4), heart failure was selected for inclusion into multivariable analysis. Because mitral E/e’ ratio was significantly associated with LA diameter, LA diameter was selected for inclusion into multivariable analysis. Because drug history was significantly associated with history of heart failure and myocardial infarction, it was not entered into multivariable analysis. Only mitral E/e’ ratio of echocardiographic parameter was included in multivariable analysis (Table 5). For all comparisons, p < 0.05 was considered statistically significant. All data were analyzed using SPSS statistical package version 23.0 (SPSS Inc. Chicago, IL, USA).

Table 3.

Cox proportional hazard regression analysis with time-dependent covariates for MACE predictors in patients with AHREs ≥ 5 min (Model A),  ≥ 6 h (Model B), ≥ 24 h (Model C).

Variables All patients (n = 481) Major adverse cardiac events (MACE) P Multivariable Cox regression
Model A Model B Model C
Yes (N = 63) No (N = 418) HR 95% CI p HR 95% CI p HR 95% CI p
Age (years) 77.0,14.0 77.0,12.0 76.5,16.0 0.467
Gender 0.269
Male 259(53.8%) 38(60.3%) 221(52.9%)
Female 222(46.2%) 25(39.7%) 197(47.1%)
BMI (kg/m2) 24.5,2.9 25.1,2.6 24.5,3.0 0.258
Device 0.584 1.252 0.602–2.604 0.548 1.003 0.497–2.022 0.994 0.888 0.447–1.763 0.733
Metronic 320(66.5%) 40(63.5%) 280(67.0%)
BIOTRONIK 161(33.5%) 23(36.5%) 138(33.0%)
Primary indication 0.212
Sinus node dysfunction 340(70.7%) 50(79.4%) 290(69.4%)
Atrioventricular block 135(28.1%) 13(20.6%) 122(29.2%)
Other 6(1.2%) 0(0%) 6(1.4%)
CHA2DS2-VASc score 3.3 ± 1.3 4.3 ± 1.0 3.2 ± 1.3  < 0.001
HAS-BLED 2.3 ± 1.1 3.3 ± 0.8 2.2 ± 1.1  < 0.001
Hypertension 451(93.8%) 62(98.4%) 389(93.1%) 0.157
Diabetes mellitus 250(52%) 52(82.5%) 198(47.4%)  < 0.001 2.536 1.163–5.528 0.019 2.486 1.161–5.320 0.019 2.407 1.131–5.124 0.023
Hyperlipidemia 442(91.9%) 63(100%) 379(90.7%) 0.005 1.550 0.001–1.555 0.998 1.680 0.012–1.869 0.998 1.110 0.015–1.015 0.998
History of stroke 28(5.8%) 4(6.3%) 24(5.7%) 0.775
History of myocardial infarction 100(20.8%) 31(49.2%) 69(16.5%)  < 0.001 2.796 1.384–5.649 0.004 2.312 1.170–4.569 0.016 2.099 1.073–4.103 0.030
Heart failure  < 0.001 0.013 0.010 0.007
Preserved EF 50(10.4%) 11(17.5%) 39(9.3%) 1.170 0.458–2.987 0.743 1.457 0.591–3.592 0.414 1.489 0.611–3.631 0.381
Reduced EF 50(10.4%) 24(38.1%) 26(6.2%) 3.656 1.498–8.921 0.004 3.793 1.592–9.041 0.003 3.960 1.676–9.356 0.002
Chronic liver disease 22(4.6%) 1(1.6%) 21(5.0%) 0.337
Chronic kidney disease 182(37.8%) 40(63.5%) 142(34%)  < 0.001 1.023 0.498–2.101 0.950 0.933 0.459–1.899 0.849 1.003 0.499–2.018 0.992
Previously documented AF 126(26.2%) 19(30.2%) 107(25.6%) 0.443
Echo parameters
LVEF (%) 69.0,13.0 57.0,30.0 70.0,11.3  < 0.001
Mitral E/e’ ratio 11.1,5.0 12.0,7.0 11.0,5.0 0.005
LA diameter (cm) 3.8,0.7 4.0,0.6 3.7,0.7  < 0.001 1.152 0.694–1.912 0.583 1.185 0.718–1.955 0.507 1.310 0.799–2.148 0.285
RV systolic function (s’, m/s) 12.0,2.0 12.0,2.0 12.0,2.0  < 0.001 0.818 0.658–1.018 0.072 0.814 0.662–1.001 0.051 0.814 0.662–1.000 0.050
Drug prescribed at baseline
Antiplatelets 153(31.8%) 46(73.0%) 107(25.6%)  < 0.001
Anticoagulants 122(25.4%) 19(30.2%) 103(24.6%) 0.348
Beta blockers 155(32.2%) 41(65.1%) 114(27.3%)  < 0.001
Amiodarone 100(20.8%) 25(39.7%) 75(17.9%)  < 0.001
Dronedarone 18(3.7%) 2(3.2%) 16(3.8%) 1.0
Flecainide 2(0.4%) 0(0%) 2(0.5%) 1.0
Propafenone 24(5%) 3(4.8%) 21(5.0%) 1.0
Sotalol 2(0.4%) 1(1.6%) 1(0.2%) 0.245
Digoxin 5(1%) 4(6.3%) 1(0.2%) 0.001
Non-DHP CCBs 19(4%) 3(4.8%) 16(3.8%) 0.726
RAAS inhibitors 194(40.4%) 28(44.4%) 166(39.8%) 0.485
Diuretics 70(14.6%) 19(30.2%) 51(12.2%)  < 0.001
Statins 166(34.5%) 28(44.4%) 138(33.0%) 0.075
Metformin 79(16.4%) 13(20.6%) 66(15.8%) 0.333
SGLT2 inhibitors 5(1%) 1(1.6%) 4(1.0%) 0.506
Follow-up duration 39.9 ± 29.8 41.6 ± 26.4 39.7 ± 30.3 0.630
Follow-up times 5.6 ± 4.2 5.5 ± 3.5 5.6 ± 4.3 0.790
AHRE duration ≥ 5 min 188(39.1%) 43(68.3%) 145(34.7%)  < 0.001 5.252 2.575–10.715  < 0.001
AHRE duration ≥ 6 h 115(23.9%) 26(41.3%) 89(21.3%) 0.001 2.548 1.284–5.058 0.007
AHRE duration ≥ 24 h 83(17.3%) 17(27.0%) 66(15.8%) 0.028 1.825 0.874–3.809 0.109

Data are presented as mean ± SD or median, IQR or n (%).

AF atrial fibrillation, AHRE atrial high-rate episodes, BMI body mass index, EF ejection fraction, IQR interquartile range, LA left atrium, LVEF left ventricular ejection fraction, RV right ventricle, non-DHP CCBs non-dihydropyridine calcium channel blockers, RAAS renin–angiotensin–aldosterone system, SGLT2 sodium glucose co-transporters 2.

Table 4.

Cox proportional hazard regression analysis with time-dependent covariates for MACE predictors in patients without history of atrial fibrillation and with AHREs ≥ 5mins (Model A), ≥ 6hrs (Model B), ≥ 24hrs (Model C).

Variable History of atrial fibrillation (−) (N = 355)
Major adverse cardiac events (MACE) P Multivariable
Cox regression
Yes (N = 44) No (N = 311) Model A Model B Model C
HR 95% CI p HR 95% CI p HR 95% CI p
Age (years) 77.0,12.3 77.0,16.0 0.468
Gender 0.115
Male 30(68.2%) 173(55.6%)
Female 14(31.8%) 138(44.4%)
BMI (kg/m2) 25.4,2.8 24.6,3.3 0.297
Device 0.929 0.998 0.424–2.352 0.996 0.838 0.365–1.920 0.675 0.707 0.311–1.606 0.408
Metronic 27(61.4%) 193(62.1%)
BIOTRONIK 17(38.6%) 118(37.9%)
Primary indication 0.229
Sinus node dysfunction 34(77.3%) 200(64.3%)
Atrioventricular block 10(22.7%) 110(35.4%)
Other 0(0%) 1(0.3%)
CHA2DS2-VASc score 4.3 ± 1.0 3.1 ± 1.3  < 0.001
HAS-BLED 3.2 ± 0.7 2.1 ± 1.1  < 0.001
Hypertension 43(97.7%) 285(91.6%) 0.226
Diabetes mellitus 37(84.1%) 148(47.6%)  < 0.001 2.577 0.968–6.864 0.058 2.400 0.913–6.307 0.076 2.271 0.872–5.917 0.093
Hyperlipidemia 44(100%) 277(89.1%) 0.013 0.998 0.998 1.130 0.001–1.005 0.998
History of stroke 2(4.5%) 12(3.9%) 0.688
History of myocardial infarction 23(52.3%) 49(15.8%)  < 0.001 2.087 0.852–5.113 0.107 1.805 0.742–4.394 0.193 1.671 0.701–3.984 0.246
Heart failure  < 0.001 0.005 0.005 0.004
Preserved EF 6(13.6%) 22(7.1%) 1.208 0.352–4.150 0.764 1.457 0.432–4.908 0.544 1.577 0.482–5.159 0.376
Reduced EF 20(45.5%) 20(6.4%) 5.759 1.917–17.301 0.002 5.646 1.929–16.523 0.002 5.821 1.988–17.040  < 0.001
Chronic liver disease 0(0%) 18(5.8%) 0.145
Chronic kidney disease 29(65.9%) 104(33.4%)  < 0.001 0.920 0.375–2.261 0.856 0.836 0.335–2.082 0.700 0.975 0.403–2.358 0.975
Echo parameters
LVEF % 55.0,34.0 70.0,13.0 0.001
Mitral E/e’ ratio 12.0,6.0 11.1,5.0 0.044
LA diameter (cm) 4.0,0.7 3.6,0.8  < 0.001 1.502 0.765–2.951 0.238 1.557 0.791–3.064 0.200 1.779 0.902–3.507 0.096
RV systolic function (s’, ms) 11.5,2.0 12.0,2.0  < 0.001 0.856 0.661–1.109 0.239 0.840 0.655–1.077 0.169 0.844 0.399–1.082 0.182
Drug prescribed at baseline
Antiplatelets 36(81.8%) 92(29.6%)  < 0.001
Anticoagulants 5(11.4%) 27(8.7%) 0.561
Beta blockers 26(59.1%) 70(22.5%)  < 0.001
Amiodarone 12(27.3%) 32(10.3%) 0.001
Dronedarone 1(2.3%) 4(1.3%) 0.486
Flecainide 0(0%) 0(0%)
Propafenone 1(2.3%) 14(4.5%) 0.705
Sotalol 1(2.3%) 1(0.3%) 0.233
Digoxin 4(9.1%) 0(0%)  < 0.001
Non-DHP CCBs 2(4.5%) 10(3.2%) 0.650
RAAS inhibitors 22(50.0%) 116(37.4%) 0.109
Diuretics 16(36.4%) 41(13.2%)  < 0.001
Statins 21(47.7%) 100(32.2%) 0.041
Metformin 10(22.7%) 47(15.1%) 0.198
SGLT2 inhibitors 1(2.3%) 3(1.0%) 0.412
Follow-up duration 45.2 ± 27.5 41.7 ± 31.7 0.478
Follow-up times 6.0 ± 3.8 5.8 ± 4.4 0.759
AHRE duration ≥ 5 min 25(56.8%) 82(26.4%)  < 0.001 4.266 1.856–9.805 0.001
AHRE duration ≥ 6 h 14(31.8%) 41(13.2%) 0.001 2.459 0.974–6.210 0.057
AHRE duration ≥ 24 h 8(18.2%) 29(9.3%) 0.072 1.194 0.399–3.574 0.751

Data are presented as mean ± SD or median, IQR or n (%).

AF atrial fibrillation, AHRE atrial high-rate episodes, BMI body mass index, EF ejection fraction, IQR interquartile range, LA left atrium, LVEF left ventricular ejection fraction, RV right ventricle, non-DHP CCBs non-dihydropyridine calcium channel blockers, RAAS renin–angiotensin–aldosterone system, SGLT2 sodium glucose co-transporters 2.

Table 5.

Cox proportional hazard regression analysis with time-dependent covariates for MACE predictors in patients with history of atrial fibrillation and with AHREs ≥ 5 min (Model A), ≥ 6 h (Model B), ≥ 24 h (Model C).

Variable History of atrial fibrillation ( +) (N = 126)
Major adverse cardiac events (MACE) Univariate
P valve
Multivariate Cox regression
Yes (N = 19) No (N = 107) Model A Model B Model C
HR 95% CI p HR 95% CI p HR 95% CI p
Age (years) 75.0,11.0 74.0,13.0 0.733
Gender 0.824
Male 8(42.1%) 48(44.9%)
Female 11(57.9%) 59(55.1%)
BMI (kg/m2) 24.8,4.0 24.2,2.6 0.542
Device 0.201 2.363 0.510–10.945 0.272 1.578 0.384–6.479 0.526 1.355 0.340–5.405 0.667
Metronic 13(68.4%) 87(81.3%)
BIOTRONIK 6(31.6%) 20(18.7%)
Primary indication 0.557
Sinus node dysfunction 16(84.2%) 90(84.1%)
Atrioventricular block 3(15.8%) 12(11.2%)
Other 0(0%) 5(4.7%)
CHA2DS2-VASc score 4.3 ± 0.9 3.5 ± 1.3 0.015
HAS-BLED 3.3 ± 0.9 2.4 ± 1.0  < 0.001
Hypertension 19(100%) 104(97.2%) 1.000
Diabetes mellitus 15(78.9%) 50(46.7%) 0.012 2.482 0.644–9.568 0.187 2.820 0.794–10.023 0.109 2.642 0.745–9.368 0.132
Hyperlipidemia 19(100%) 102(95.3%) 1.000
History of stroke 2(10.5%) 12(11.2%) 1.000
History of myocardial infarction 8(42.1%) 20(18.7%) 0.024 3.635 0.987–13.384 0.052 3.099 0.941–10.207 0.063 3.020 0.917–9.945 0.069
Heart failure 0.026 0.955 0.708 0.549
Preserved EF 5(26.3%) 17(15.9%) 0.928 0.197–4.362 0.924 1.080 0.265–4.397 0.914 1.065 0.262–4.323 0.930
Reduced EF 4(21.1%) 6(5.6%) 1.271 0.188–8.579 0.805 2.125 0.351–12.866 0.412 2.712 0.441–16.664 0.281
Chronic liver disease 1(5.3%) 3(2.8%) 0.484
Chronic kidney disease 11(57.9%) 38(35.5%) 0.065
Echo parameters
LVEF % 60.0,16.0 70.0,10.0  < 0.001
Mitral E/e’ ratio 13.0,10.0 10.6,4.7 0.035 1.090 0.940–1.266 0.255 1.069 0.930–1.229 0.348 1.084 0.944–1.245 0.252
LA diameter (cm) 4.0,0.5 3.9,0.7 0.157
RV systolic function (s’, m/s) 12.0,3.0 12.0,2.0 0.058
Drug prescribed at baseline
Antiplatelets 10(52.6%) 15(14.0%)  < 0.001
Anticoagulants 14(73.7%) 76(71.0%) 0.813
Beta blockers 15(78.9%) 44(41.1%) 0.003
Amiodarone 13(68.4%) 43(40.2%) 0.022
Dronedarone 1(5.3%) 12(11.2%) 0.690
Flecainide 0(0%) 2(1.9%) 1.000
Propafenone 2(10.5%) 7(6.5%) 0.624
Sotalol 0(0%) (0%)
Digoxin 0(0%) 1(0.9%) 1.000
Non-DHP CCBs 1(5.3%) 6(5.6%) 1.000
RAAS inhibitors 6(31.6%) 50(46.7%) 0.221
Diuretics 3(15.8%) 10(9.3%) 0.414
Statins 7(36.8%) 38(35.5%) 0.911
Metformin 3(15.8%) 19(17.8%) 1.000
SGLT2 inhibitors 0(0%) 1(0.9%) 1.000
Follow duration 33.4 ± 22.4 33.8 ± 25.1 0.949
Follow times 4.4 ± 2.5 5.3 ± 4.0 0.327
AHRE duration ≥ 5 min 18(94.7%) 63(58.9%) 0.002 18.383 2.006–168.428 0.010
AHRE duration ≥ 6 h 12(63.2%) 48(44.9%) 0.141 2.345 0.715–7.696 0.160
AHRE duration ≥ 24 h 9(47.4%) 37(34.6%) 0.286 2.129 0.677–6.692 0.196

Data are presented as mean ± SD or median, IQR or n (%).

AF atrial fibrillation, AHRE atrial high-rate episodes, BMI body mass index, EF ejection fraction, IQR interquartile range, LA left atrium, LVEF left ventricular ejection fraction, RV right ventricle, non-DHP CCBs non-dihydropyridine calcium channel blockers, RAAS renin–angiotensin–aldosterone system, SGLT2 sodium glucose co-transporters 2.

Ethics statement

The study protocol has been approved by the Institutional Review Board of National Cheng Kung University Hospital. (B-ER-108-278).

Ethics approval and consent to participate

This study was approved by the ethics committee of National Cheng Kung University Hospital and was conducted according to the guidelines of the International Conference on Harmonization for Good Clinical Practice. All patients provided written informed consent before enrollment.

Consent for publication

All patients provided signed informed consent before enrollment.

Results

Between January 1, 2014 and August 31, 2019, a total of 498 patients receiving dual chamber permanent pacemaker at our hospital were initially recruited. Seventeen patients were excluded due to loss of follow-up, inadequate or missing data and not providing informed consent. Therefore, the data of 481 patients were finally included as the analytic sample for this retrospective study.

The mean follow-up period was 39.9 ± 29.8 months after the implantation of dual chamber permanent pacemakers. Table 1 shows baseline demographic and clinical characteristics of all patients based on the occurrence of AHRE ≥ 5 min, ≥ 6 h or ≥ 24 h. Mean age was 75.3 ± 10.7 years and 46.2% were women. The most common indication for dual chamber permanent pacemaker implantation (Table 1) was sick sinus syndrome (70.7%), followed by atrioventricular block (28.1%). High percentages of hypertension (93.8%) and hyperlipidemia (91.9%) suggested a relatively high risk of MACE for the entire study cohort. During follow-up, 188 patients developed AHRE ≥ 5 min, 115 patients developed AHRE ≥ 6 h, and 83 patients developed AHRE ≥ 24 h. Patients with AHRE had significantly lower left ventricular ejection fraction, larger left atrial (LA) diameters and history of documented AF. Components, time to MACE, incidence rates and distribution of MACE are reported in Table 2. The whole follow-up duration represented 1600.25 patient-years of observation, and the total number of MACE was 92 (IR 5.75%/year, 95% CI 3.88–5.85). The proportion of MACE for each separate AHRE duration decreased as AHRE duration increased. Patients with a history of MI at baseline (17.80%/year 95% CI 10.23–22.11) had a higher incidence of MACE than those without previous MI (IR 3.77%/year 95% CI 3.01–4.22; p = 0.001).

Table 1.

Baseline characteristics of the overall study group.

Variables All patients (n = 481) AHREs ≥ 5 min P AHREs ≥ 6 h P AHREs ≥ 24 h P
Yes (N = 188) No (N = 293) Yes (N = 115) No (N = 366) Yes (N = 83) No (N = 398)
Age (years) 77.0,14.0 76.0,15.0 77.0,15.0 0.318 76.0,14.0 77.0,15.0 0.376 77.0,14.0 76.0,15.3 0.880
Gender 0.204 0.129 0.199
Male 259(53.8%) 108(57.4%) 151(51.5%) 69(60.0%) 190(51.9%) 50(60.2%) 209(52.5%)
Female 222(46.2%) 80(42.6%) 142(48.5%) 46(40.0%) 176(48.1%) 33(39.8%) 189(47.5%)
BMI (kg/m2) 24.5,2.9 24.3,3.3 24.6,2.6 0.132 24.1,3.1 24.6,2.7 0.083 24.1,3.7 24.6,2.8 0.077
Device  < 0.001  < 0.001  < 0.001
Metronic 320(66.5%) 157(83.5%) 163(55.6%) 102(88.7%) 218(59.6%) 75(90.4%) 245(61.6%)
BIOTRONIK 161(33.5%) 31(16.5%) 130(44.4%) 13(11.3%) 148(40.4%) 8(9.6%) 153(38.4%)
Primary indication 0.335 0.165 0.045
Sinus node dysfunction 340(70.7%) 139(73.9%) 201(68.6%) 85(73.9%) 255(69.7%) 62(74.7%) 278(69.8%)
Atrioventricular block 135(28.1%) 46(24.5%) 89(30.4%) 27(23.5%) 108(29.5%) 18(21.7%) 117(29.4%)
Other 6(1.2%) 3(1.6%) 3(1.0%) 3(2.6%) 3(0.8%) 3(3.6%) 3(0.8%)
CHA2DS2-VASc score 3.3 ± 1.3 3.4 ± 1.3 3.2 ± 1.3 0.109 3.5 ± 1.4 3.3 ± 1.3 0.194 3.5 ± 1.4 3.3 ± 1.3 0.191
HAS-BLED 2.3 ± 1.1 2.4 ± 1.1 2.2 ± 1.2 0.069 2.5 ± 1.1 2.3 ± 1.1 0.08 2.4 ± 1.1 2.3 ± 1.1 0.370
Hypertension 451(93.8%) 182(96.8%) 269(91.8%) 0.027 110(95.7%) 341(93.2%) 0.337 79(95.2%) 372(93.5%) 0.557
Diabetes mellitus 250(52%) 99(52.7%) 151(51.5%) 0.810 61(53.0%) 189(51.6%) 0.793 44(53.0%) 206(51.8%) 0.835
Hyperlipidemia 442(91.9%) 181(96.3%) 261(89.1%) 0.005 110(95.7%) 332(90.7%) 0.09 79(95.2%) 363(91.2%) 0.228
History of stroke 28(5.8%) 14(7.4%) 14(4.8%) 0.223 5(4.3%) 23(6.3) 0.439 5(6.0%) 23(5.8%) 0.931
History of myocardial infarction 100(20.8%) 38(20.2%) 62(21.2%) 0.803 24(20.9%) 76(20.8%) 0.981 19(22.9%) 81(20.4%) 0.604
Heart failure 0.003 0.011 0.013
Preserved EF 50(10.4%) 29(15.4%) 21(7.2%) 19(16.5%) 31(8.5%) 16(19.3%) 34(8.5%)
Reduced EF 50(10.4%) 24(12.8%) 26(8.9%) 16(13.9%) 34(9.3%) 9(10.8%) 41(10.3%)
Chronic liver disease 22(4.6%) 8(4.3%) 14(4.8%) 0.789 7(6.1%) 15(4.1%) 0.373 5(6.0%) 17(4.3%) 0.487
Chronic kidney disease 182(37.8%) 79(42.0%) 103(35.2%) 0.130 57(49.6%) 125(34.2%) 0.003 40(48.2%) 142(35.7%) 0.032
Previously documented Af 126(26.2%) 81(43.1%) 45(15.4%)  < 0.001 60(52.2%) 66(18.0%)  < 0.001 46(55.4%) 80(20.1%)  < 0.001
Echo parameters
LVEF (%) 69.0,13.0 67.0,15.0 70.0,13.0 0.002 66.0,14.0 70.0,13.0  < 0.001 66.0,12.0 70.0,12.6 0.008
Mitral E/e’ ratio 11.1,5.0 11.6,5.0 11.0,5.1 0.474 12.0,6.0 11.0,5.0 0.189 12.0,5.0 11.0,5.0 0.174
LA diameter (cm) 3.8,0.7 3.9,0.6 3.7,0.8 0.002 3.9,0.8 3.7,0.7 0.002 3.9,0.8 3.7,0.7 0.005
RV systolic function (s’, m/s) 12.0,2.0 12.0,2.0 12.0,2.0 0.356 12.0,2.0 12.0,2.0 0.523 12.0,2.0 12.0,2.0 0.393
Drug prescribed at baseline
Antiplatelets 153(31.8%) 58(30.9%) 95(32.4%) 0.718 37(32.2%) 116(31.7%) 0.923 24(28.9%) 129(32.4%) 0.534
Anticoagulants 122(25.4%) 81(43.1%) 41(14.0%)  < 0.001 53(46.1%) 69(18.9%)  < 0.001 42(50.6%) 80(20.1%)  < 0.001
Beta blockers 155(32.2%) 81(43.1%) 74(25.3%)  < 0.001 57(49.6%) 98(26.8%)  < 0.001 44(53.0%) 111(27.9%)  < 0.001
Amiodarone 100(20.8%) 60(31.9%) 40(13.7%)  < 0.001 42(36.5%) 58(15.8%)  < 0.001 33(39.8%) 67(17.8%)  < 0.001
Dronedarone 18(3.7%) 14(7.4%) 4(1.4%) 0.001 12(10.4%) 6(1.6%)  < 0.001 8(9.6%) 10(2.5%) 0.002
Flecainide 2(0.4%) 2(1.1%) 0(0%) 0.152 2(1.7%) 0(0%) 0.057 2(2.4%) 0(0%) 0.029
Propafenone 24(5%) 12(6.4%) 12(4.1%) 0.261 6(5.2%) 18(4.9%) 0.898 5(6.0%) 19(4.8%) 0.634
Sotalol 2(0.4%) 2(1.1%) 0(0%) 0.152 2(1.7) 0(0%) 0.057 1(1.2%) 1(0.3%) 0.316
Digoxin 5(1%) 2(1.1%) 3(1.0%) 1.000 0(0%) 5(1.4%) 0.597 0(0%) 5(1.3%) 0.593
Non-DHP CCBs 19(4%) 11(5.9%) 8(2.7%) 0.086 4(3.5%) 15(4.1%) 1.000 4(4.8%) 15(3.8%) 0.755
RAAS inhibitors 194(40.4%) 74(39.4%) 120(41.1%) 0.705 41(35.7%) 153(41.9%) 0.232 28(33.7%) 166(41.8%) 0.179
Diuretics 70(14.6%) 26(13.8%) 44(15.0%) 0.791 20(17.4%) 50(13.7%) 0.322 16(19.3%) 54(13.6%) 0.180
Statins 166(34.5%) 62(33.0%) 104(35.5%) 0.571 37(32.2%) 129(35.2%) 0.546 28(33.7%) 138(34.7%) 0.870
Metformin 79(16.4%) 24(12.8%) 55(18.8%) 0.083 12(10.4%) 67(18.3%) 0.047 9(10.8%) 70(17.6%) 0.131
SGLT2 inhibitors 5(1%) 2(1.1%) 3(1.0%) 1.000 1(0.9%) 4(1.1%) 1.000 1(1.2%) 4(1.0%) 1.000
Follow-up duration 39.9 ± 29.8 40.8 ± 29.7 39.3 ± 30.0 0.588 39.1 ± 28.2 40.2 ± 30.3 0.736 36.6 ± 25.7 40.6 ± 30.6 0.262
Follow-up times 5.6 ± 4.2 5.8 ± 4.5 5.5 ± 4.1 0.519 5.7 ± 4.4 5.6 ± 4.2 0.917 5.1 ± 3.3 5.7 ± 4.4 0.239

Data are presented as mean ± SD or median, IQR or n (%).

AF atrial fibrillation, AHRE atrial high-rate episodes, BMI body mass index, EF ejection fraction, IQR interquartile range, LA left atrium, LVEF left ventricular ejection fraction, RV right ventricle, non-DHP CCBs non-dihydropyridine calcium channel blockers, RAAS renin–angiotensin–aldosterone system, SGLT2 sodium glucose co-transporters 2.

Table 2.

Type and incidence of MACEs in the whole cohort.

Types of MACEs Number Incidence rate (100 patient-years) CI 95% Time to event (months) Age (years) Gender (female) History of Af History of MI AHREs > 5mins AHREs > 6mins AHREs > 6hrs AHREs > 12hrs AHREs > 24hrs
STEMI 2 0.125 (0.02–0.34) 30.5 ± 24.7 (13–48) 66.5 ± 2.1 0(0%) 2(100%) 1(50%) 2(100%) 2(100%) 2(100%) 2(100%) 2(100%)
NSTEMI 23 1.437 (0.78–1.77) 29.9 ± 26.8 (2–99) 78.7 ± 9.2 11(47.8%) 8(34.5%) 15(65.2%) 16(69.6%) 16(69.6%) 9(39.1%) 7(30.4%) 7(30.4%)
Unstable angina 35 2.187 (1.29–2.51) 26.8 ± 24.4 (2–106) 76.2 ± 8.0 11(31.4%) 9(25.7%) 19(54.3%) 23(65.7%) 23(65.7%) 13(37.1%) 11(31.4%) 6(17.1%)
Deteriorated heart failure 23 1.437 (0.78–1.77) 23.4 ± 17.5 (2–82) 75.7 ± 8.5 6(26.1%) 9(39.1%) 14(60.9%) 15(65.2%) 15(65.2%) 10(43.5%) 9(39.1%) 8(34.8%)
Cardiovascular hospitalization 6 0.375 (0.13–0.65) 25.8 ± 24.2 (2–78) 73.8 ± 12.7 3(37.5%) 3(50%) 5(62.5%) 4(66.7%) 4(66.7%) 3(50%) 3(37.5%) 2(33.3%)
Cardiac death 3 0.187 (0.04–0.43) 25.7 ± 19.2 (25–27) 76.5 ± 9.2 0(0%) 3(100%) 2(66.7%) 2(66.7%) 2(66.7%) 1(33.3%) 1(33.3%) 0(0%)
Total event 92 5.749 (3.88–5.85)

Data are presented as mean ± SD or n (%).

Af atrial fibrillation, AHREs atrial high-rate episodes, CI confidence intervals, MACEs major adverse cardiac events, MI myocardial infarction, NSTEMI non ST-elevation myocardial infarction, STEMI ST-elevation myocardial infarction.

ROC-AUC determination of AHRE cutoff values associated with future MACE

The optimal AHRE cutoff value for association with future MACE was determined to be 5-min (sensitivity, 68.3%; specificity, 65.3%; AUC, 0.662; 95% CI, 0.588–0.736; p < 0.001) (Fig. 1).

Figure 1.

Figure 1

Receiver-operating characteristic curve analysis of atrial high-rate episodes (minutes) in patients with dual chamber permanent pacemakers with subsequent MACE Atrial high rate episodes (minutes): cutoff value, 5-min; sensitivity, 68.3%; specificity, 65.3%; AUC, 0.662; 95% CI, 0.588–0.736; p < 0.001.

Univariable and multivariable Cox regression analysis of associations between duration of AHRE and MACE in all patients

Univariable analysis revealed that the CHA2DS2-VASc score and HAS-BLED score for stroke risk; diabetes mellitus, hyperlipidemia, history of MI, heart failure, and chronic kidney disease; LV ejection fraction, mitral E/e ratio; LA diameter; RV systolic function, and AHRE duration ≥ 5 min, ≥ 6 h and ≥ 24 h; were significantly associated with MACE occurrence in all patients (Table 3). Multivariable Cox regression analysis demonstrated that AHRE ≥ 5 min (HR 5.252, 95% CI 2.575–10.715, p < 0.001) in model A, and AHRE ≥ 6 h (HR 2.548, 95% CI 1.284–5.058, p = 0.007) in model B were independently associated with MACE. However, AHRE ≥ 24 h in model C was not significantly associated with MACE.

Univariable and multivariable Cox regression analysis of associations between AHRE duration and MACE in patients with or without history of AF

In the subgroup of patients with or without history of atrial fibrillation, multivariate Cox regression analysis showed that AHREs ≥ 5 min were significantly associated with MACEs in patients without history of AF (HR 4.266, 95% CI 1.856–9.805, p = 0.001) as same as heart failure reduced ejection fraction (HR 5.729, 95% CI 1.917–17.301, P = 0.002) (Table 4). For patients with history of AF, only AHREs ≥ 5 min (HR 18.383, 95% CI 2.006–168.428, p = 0.010) has significant difference (Table 5). Both patients demonstrated that AHREs ≥ 6 h and AHREs ≥ 24 h had no significant difference with MACEs.

Univariable and multivariable Cox regression analysis of associations between duration of AHRE and MACEs in patients with or without history of MI

Multivariate Cox regression analysis showed that AHRE ≥ 5 min (HR 4.086, 95% CI 1.638–10.192, p = 0.003), AHRE ≥ 6 h (HR 2.756, 95% CI 1.166–6.517, p = 0.021) and AHRE ≥ 24 h (HR 3.348, 95% CI 1.359–8.243, p = 0.009) were all significantly associated with MACE in patients without history of MI (Table 6), but only AHRE ≥ 5 min (HR 10.370, 95% CI 2.860–37.595, p < 0.001) were significantly associated with MACE in patients with history of MI (Table 7). Other risk factor such as heart failure reduced ejection was also independently associated with MACE in patients with all three AHRE durations without history of MI.

Table 6.

Cox proportional hazard regression analysis with time-dependent covariates for MACE predictors in patients without history of myocardial infarction and with AHREs ≥ 5 min (Model A), ≥ 6 h (Model B), ≥ 24 h (Model C).

Variable History of myocardial infarction (−) (N = 381)
Mace major adverse cardiac events Univariate
P valve
Multivariate Cox regression
Yes (N = 32) No (N = 349) Model A Model B Model C
HR 95% CI p HR 95% CI p HR 95% CI p
Age (years) 77.0,11.3 76.0,16.0 0.620
Gender 0.236
Male 20(62.5%) 180(51.6%)
Female 12(37.5%) 169(48.4%)
BMI (kg/m2) 25.5,2.5 24.5,2.8 0.184
Device 0.199 0.571 0.201–1.624 0.293 0.530 0.190–1.479 0.225 0.473 0.169–1.324 0.154
Metronic 25(78.1%) 234(67.0%)
BIOTRONIK 7(21.9%) 115(33.0%)
Primary indication 0.145
Sinus node dysfunction 27(84.4%) 237(67.9%)
Atrioventricular block 5(15.6%) 107(30.7%)
Other 0(0%) 5(1.4%)
CHA2DS2-VASc score 3.9 ± 1.0 3.0 ± 1.3  < 0.001
HAS-BLED 3.0 ± 0.8 1.9 ± 1.0  < 0.001
Hypertension 32(100%) 321(92.0%) 0.151
Diabetes mellitus 24(75.0%) 146(41.8%)  < 0.001 3.486 1.401–8.672 0.007 3.468 1.402–8.579 0.007 3.451 1.392–8.553 0.007
Hyperlipidemia 32(100%) 310(88.8%) 0.060
History of stroke 4(12.5%) 19(5.4%) 0.116
Heart failure  < 0.001 0.045 0.020 0.007
Preserved EF 2(6.3%) 24(6.9%) 0.475 0.093–2.418 0.370 0.621 0.125–3.075 0.559 0.576 0.114–2.903 0.504
Reduced EF 10(31.3%) 11(3.2%) 3.475 1.061–11.379 0.040 4.578 1.428–14.684 0.011 5.399 1.692–17.223 0.004
Chronic liver disease 1(3.1%) 16(4.6%) 1.000
Previously documented Af 11(34.4%) 87(24.9%) 0.242
Chronic kidney disease 16(50.0%) 100(28.7%) 0.012 1.162 0.484–2.788 0.737 1.060 0.436–2.578 0.898 1.135 0.474–2.715 0.776
Echo parameters
LVEF % 64.0,28.5 70.0,11.0 0.010
Mitral E/e’ ratio 12.0,6.2 11.0,4.4 0.075
LA diameter (cm) 4.0,0.7 3.6,0.8 0.002 1.229 0.665–2.271 0.511 1.291 0.702–2.373 0.411
RV systolic function (s’, ms) 12.0,2.0 13.0,2.0  < 0.001 0.695 0.509–0.948 0.022 0.699 0.516–0.947 0.021
Drug prescribed at baseline
Antiplatelets 23(71.9%) 62(17.8%)  < 0.001
Anticoagulants 12(37.5%) 80(22.9%) 0.065
Beta blockers 18(56.3%) 80(22.9%)  < 0.001
Amiodarone 11(34.4%) 55(15.8%) 0.008
Dronedarone 0(0%) 13(3.7%) 0.613
Flecainide 0(0%) 1(0.3%) 1.000
Propafenone 3(9.4%) 21(6.0%) 0.441
Sotalol 1(3.1%) 0(0%) 0.084
Digoxin 2(6.3%) 1(0.3%) 0.019
Non-DHP CCBs 3(9.4%) 14(4.0%) 0.163
RAAS inhibitors 11(34.4%) 128(36.8%) 0.787
Diuretics 8(25.0%) 33(9.5%) 0.007
Statins 10(31.3) 98(28.1%) 0.703
Metformin 5(15.6%) 55(15.8%) 0.984
SGLT2 inhibitors 0(0%) 2(0.6%) 1.000
Follow-up duration 40.2 ± 27.3 41.9 ± 31.4 0.783
Follow-up times 5.9 ± 3.9 6.0 ± 4.9 0.923
AHRE duration ≥ 5 min 24(75.0%) 126(36.1%)  < 0.001 4.086 1.638–10.192 0.003
AHRE duration ≥ 6 h 16(50.0%) 75(21.5%)  < 0.001 2.756 1.166–6.517 0.021
AHRE duration ≥ 24 h 11(34.4%) 53(15.2%) 0.005 3.348 1.359–8.243 0.009

Data are presented as mean ± SD or median, IQR or n (%).

AF atrial fibrillation, AHRE atrial high-rate episodes, BMI body mass index, EF ejection fraction, IQR interquartile range, LA left atrium, LVEF left ventricular ejection fraction, RV right ventricle, non-DHP CCBs non-dihydropyridine calcium channel blockers, RAAS renin–angiotensin–aldosterone system, SGLT2 sodium glucose co-transporters 2.

Table 7.

Cox proportional hazard regression analysis with time-dependent covariates for MACE predictors in patients with history of myocardial infarction and with AHREs ≥ 5 min (Model A), ≥ 6 h (Model B), ≥ 24 h (Model C).

Variable History of myocardial infarction ( +) (N = 100)
Mace major adverse cardiac events Univariate
P valve
Multivariate Cox regression
Yes (N = 31) No (N = 69) Model A Model B Model C
HR 95% CI p HR 95% CI p HR 95% CI p
Age (years) 78.0,14.0 78.0,10.0 0.887
Gender 0.899
Male 18(58.1%) 41(59.4%)
Female 13(41.9%) 28(40.6%)
BMI (kg/m2) 24.8,2.6 23.9,3.5 0.425
Device 0.083 4.881 1.346–17.695 0.016 2.357 0.834–6.663 0.106 1.903 0.669–5.413 0.228
Metronic 15(48.4%) 46(66.7%)
BIOTRONIK 16(51.6%) 23(33.3%)
Primary indication 0.733
Sinus node dysfunction 23(74.2%) 53(76.8%)
Atrioventricular block 8(25.8%) 15(21.7%)
Other 0(0%) 1(1.4%)
CHA2DS2-VASc score 4.7 ± 0.7 4.3 ± 1.0 0.029
HAS-BLED 3.5 ± 0.6 3.3 ± 0.8 0.268
Hypertension 30(96.8%) 68%(98.6%) 0.526
Diabetes mellitus 28(90.3%) 52(75.4%) 0.108
Hyperlipidemia 31(100%) 69(100%)
History of stroke 0(0%) 5(7.2%) 0.320
Heart failure 0.012 0.033 0.054 0.035
Preserved EF 9(29.0%) 15(21.7%) 2.728 0.756–9.845 0.125 2.832 0.855–9.381 0.088 3.395 1.017–11.336 0.047
Reduced EF 14(45.2%) 15(21.7%) 5.143 1.477–17.901 0.010 3.565 1.192–10.660 0.023 3.833 1.268–11.585 0.017
Chronic liver disease 0(0%) 5(7.2%) 0.320
Chronic kidney disease 24(77.4%) 42(60.9%) 0.106
Previously documented Af 8(25.8%) 20(29.0%) 0.743
Echo parameters
LVEF % 52.0,27.0 65.0,21.0 0.012
Mitral E/e’ ratio 13.0,10.0 13.0,7.0 0.687
LA diameter (cm) 4.0,0.4 4.0,0.7 0.599
RV systolic function (s’, m/s) 12.0,2.0 12.0,3.0 0.055
Drug prescribed at baseline
Antiplatelets 23(74.2%) 45(65.2%) 0.373
Anticoagulants 7(22.6%) 23(33.3%) 0.278
Beta blockers 23(74.2%) 34(49.3%) 0.020
Amiodarone 14(45.2%) 20(29.0%) 0.114
Dronedarone 2(6.5%) 3(4.3%) 0.644
Flecainide 0(0%) 1(1.4%) 1.000
Propafenone 0(0%) 0(0%)
Sotalol 0(0%) 1(1.4%) 1.000
Digoxin 2(6.5%) 0(0%) 0.094
Non-DHP CCBs 0(0%) 2(2.9%) 1.000
RAAS inhibitors 17(54.8%) 38(55.1%) 0.983
Diuretics 11(35.5%) 18(26.1%) 0.338
Statins 18(58.1%) 40(58.0%) 0.993
Metformin 8(25.8%) 11(15.9%) 0.245
SGLT2 inhibitors 1(3.2%) 2(2.9%) 1.000
Follow duration 43.0 ± 25.9 28.6 ± 21.2 0.004
Follow times 5.1 ± 3.1 4.0 ± 3.0 0.105
AHRE duration ≥ 5 min 19(61.3%) 19(27.5%) 0.001 10.370 2.860–37.595  < 0.001
AHRE duration ≥ 6 h 10(32.3%) 14(20.3%) 0.195 2.146 0.717–6.419 0.172
AHRE duration ≥ 24 h 6(19.4%) 13(18.8%) 0.952 0.966 0.274–3.405 0.958

Data are presented as mean ± SD or median, IQR or n (%).

AF atrial fibrillation, AHRE atrial high-rate episodes, BMI body mass index, EF ejection fraction, IQR interquartile range, LA left atrium, LVEF left ventricular ejection fraction, RV right ventricle, non-DHP CCBs non-dihydropyridine calcium channel blockers, RAAS renin–angiotensin–aldosterone system, SGLT2 sodium glucose co-transporters 2.

Freedom from MACE

We divided the duration of AHREs into five groups. No AHRE, AHRE < 5 min, AHRE ≥ 5minutes and < 6 h, AHRE ≥ 6 h and < 24 h, and AHRE ≥ 24 h for all patients and with history of AF, history of MI or not. Cox regression survival analysis of all patients showed that only AHRE ≥ 5 min and < 6 h were significantly different compared with patients with no AHRE (Fig. 2). No significant differences were found between patients with no AHRE and any specific duration of AHRE in patients with history of AF. For patients without history of AF, only those with AHRE ≥ 6 h and < 24 h showed significant differences between AHRE duration and MACE occurrence. For patients without history of MI, only AHRE > 24 h had significant differences between AHRE duration and MACE occurrence. In patients with history of MI, AHRE ≥ 5 min and < 6 h, AHRE ≥ 6 h and < 24 h had significant differences between AHRE duration and occurrence of MACE.

Figure 2.

Figure 2

Cox regression event-free survival curves from primary endpoint at 39.9 ± 29.8 months of follow-up based on five subgroups. (A) All patients. (B) Patients without history of AF. (C) Patients with history of AF. (D) Patients without history of MI. E: Patients with history of MI. (AF atrial fibrillation, MI myocardial infarction).

Discussion

The present ‘real world’ cohort study of the associations between different cutoff durations of AHRE and the incidence rates of MACE in patients with dual chamber permanent pacemakers with or without history of AF or MI revealed that (1) almost 40% of patients receiving dual-chamber pacemakers have device-detected AHRE; (2) hypertension, hyperlipidemia, heart failure, history of AF, chronic kidney disease, LA diameter, and AHRE duration are all independent predictors of incident MACE; and (3) although patients with dual chamber pacemakers who develop AHRE are at increased risk of MACE, patients with history of AF or history of MI and the longest AHRE duration also may have higher risk of MACE.

Results of previous studies have demonstrated that AHRE significantly increases risk for MACE4 and heart failure10, which depends upon the AHRE burden and duration in individual patients. However, in the present study, no linear relationship was found between duration of AHRE and development of MACE. Although AHRE ≥ 5 min and ≥ 6 h were independently associated with MACE, AHRE ≥ 24 h was not. However, in a study with a similar objective, Pastori et al.4 found that patients implanted with CIEDs who develop AHRE had a significantly elevated risk of MACE, and that the incidence rate of MACE occurring after AHRE onset was higher in patients with AHRE ≥ 24 h. Although this may correspond with our suggestion that patients with the longest duration of AHRE may be at greater risk of MACE, we did not show this definitively, most likely due to our smaller sample and different definition of MACE.

Results of Pastori et al.4 agreed with our results showing that AHRE ≥ 5 min, diabetes and heart failure were independent predictors of MACE. In the present study, we also found that hypertension, hyperlipidemia, history of AF, chronic kidney disease, and increased LA diameter were all significantly associated with the occurrence of AHRE. We also found that patients with MEDTRONIC devices have more frequent occurrence of AHRE than those with BIOTRONIK devices (p < 0.05), which may be due to different default settings for detecting AHRE.

In patients with implantable devices and with no history of AF, device‐detected AHRE can predict long‐term mortality outcomes11, and are known to be associated with increased risk of clinical AF, stroke, and thromboembolic events12. In the present study, we found that in patients with history of MI, only those with AHRE ≥ 5 min were independently associated with MACE, and for those without history of MI, AHRE ≥ 5 min, ≥ 6 h and ≥ 24 h were all independently associated with MACE. These results suggest that the cutoff value of AHRE may be lower in patients with history of MI than in patients without history of MI, even though the ROC-AUC analysis showed that the optimal cut-off was 5 min.

Three proposed mechanisms of MACE in patients with AF included: (1) both atherosclerosis and inflammatory process yield a pro-thrombotic state; (2) direct coronary thromboembolism from left atrial appendage; and (3) tachycardia episodes resulting in a supply–demand mismatch13. However, while AHRE, viewing as subclinical AF, is also recognized as an important clinical entity, therefore it may not always be considered in patients with stroke or transient ischemic attack. As such, AHRE duration remains an important target of research. Future larger prospective studies are needed to explore which duration of AHRE may be the standard cutoff for further evaluation of MACE in patients with AHREs.

Most previous AHRE studies excluded patients with AF history4,10,14. We tried evaluating patients with and without AF history in order to identify possible differences. The results showed that only AHRE ≥ 5 min was independently associated with development of MACE, suggesting that in patients with documented history of AF, AHRE may have no important role in the occurrence of MACE.

The other issue we noted was about using anticoagulants in patients with AHRE, even though such a large review of data is not warranted. When we come across a patient with AHRE ≥ 5-min and CHA2DS2-VASc scores > 2 in our daily practice, we follow the current recommendation of 2016 ESC guideline15. At the third Joint Consensus Conference of the German Atrial Fibrillation Network (AFNET) and the European Heart Rhythm Association on AF, an algorithm was proposed for management of patients with AHRE16. Current updated guidelines recommend that in patients with AHRE ≥ 24 h, clinicians should view them with regard to AF and initiate treatment with a DOAC based on CHA2DS2-VASc scores in order to prevent stroke16. Evidence of MACE prevention in AHRE patients is lacking. Results of one study showed that DOAC therapy reduced MI compared with VKA therapy in AF patients17. However, other study data showed that the presence of AF was independently associated with a heightened risk of MI despite a lower baseline burden and progression rate of coronary atheroma18. Also, aspirin was suggested to have benefit for primary prevention of MACE in specific groups, including among subgroups defined by age, statin use, diabetes and smoking19. One study showed that statin use tended to be associated with lower risk of new-onset AF after AMI20, but no evidence was found supporting an association between risk and new onset AHRE. Two large ongoing trials (NOAH-AFNET 6 and ARTESiA)21,22 will address unmet needs regarding the effectiveness of edoxaban and apixaban for stroke and systemic embolism in patients with AHRE. Further studies are needed to focus on this issue and determine definitively whether patients with new-onset AHRE are at greater risk of MACE, including AF.

Previous studies23,24 have shown that AHREs were associated with thromboembolic events in Asian patients. Moreover, two proposed models postulated that atrial cardiomyopathy might play a key role between AHRE and the risk of future ischemic stroke25,26. Systemic vascular risk factors accompanied aging can lead to abnormal atrial substrates subsequently resulting in atrial cardiomyopathy, which interacts with hypercoagulability and may be related to atrial dilatation, atrial inflammation/fibrosis, endothelial dysfunction, and/or mechanical dysfunction.

Limitations

The present study has several limitations. First, this is a single-center, retrospective, and observational study in a hospital-based setting with a relatively small number of included patients, and all patients were Taiwanese. As a result, causality cannot be inferred between AHRE and MACE and results may have been affected by confounding factors. Also, results cannot likely be generalized to other populations. Second, AHRE may have been underestimated due to different default settings for AHRE in devices designed by different companies. The device was viewed as a confounder in the multivariable analysis and was not an independent factor for MACE. Prospective multicenter studies with larger samples are required to confirm results of the present study.

Conclusion

Patients with dual chamber pacemakers who develop AHRE have significantly increased risk of MACE, particularly those with history of AF or history of MI. However, although this patient population is at increased risk of MACE, the impact on MACE by different cutoff points for AHRE duration in different subpopulations such as those with history of AF or MI must be considered when evaluating risk. Patients with or without history of AF history may have the same cutoff for predicting MACE, but those with MI history may have a lower cutoff point than those without MI.

Acknowledgements

The authors would like to thank Convergence CT for assistance with English editing of the manuscript.

Author contributions

W.D.L. and J.Y.C. wrote the main manuscript text and prepared Figs. 1 and 2. All authors reviewed the manuscript.

Funding

The authors would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan, for financially supporting this research under contract MOST 108-2218-E-006-019 and MOST 109-2218-E-006-024.

Data availability

All data generated or analysed during this study are included in this published article.

Competing interests

These authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data generated or analysed during this study are included in this published article.


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