Abstract
word count: 245 21
Number of tables: 6; Number of figures: 3 22
23
Keywords
Atrial fibrillation, Pacemaker, Outcomes, Rate responsive pacing 24
25
26
27
Address for Correspondence: 28
Katsuhide Hayashi MD 29
9500 Euclid Avenue Cleveland, Ohio 44195 30
Email:
[email protected] 31
Phone: 216-808-1681 32
ORCID: 0000-0001-7269-9808 33
34
35
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NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.
Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
2
Background
Heart Rate Score (HRSc), the percent of atrial beats in the largest paced/sensed 2
10-bpm histogram bin recorded in cardiac devices, is a metric of chronotropic incompetence. 3
It remains uncertain if HRSc independently predicts atrial high-rate episodes (AHREs) in 4
patients with sinus node dysfunction (SND) undergoing pacemaker (PM) implantation. 5
Objective
To determine the relationship between initial HRSc post-PM implant and 6
new-onset AHREs in patients with SND. 7
Methods
The cohort included patients with Boston Scientific PMs implanted for SND from 8
2012-2021 at Cleveland Clinic, University of Occupational and Environmental Health, Japan, 9
Kyushu Rosai Hospital, and JCHO Kyushu Hospital. Patients were excluded if they had atrial 10
fibrillation before PM implant or AHREs in the initial 3-months post-implant. Subsequent 11
AHREs post-implant (>1% of atrial beats>170 bpm) were evaluated. 12
Results
Over 48.9 (IQR 25.8-50.4) months, 136 consecutive PM patients (age 75±10 years, 13
42% male) were followed. The median initial HRSc was 73(55-86)%. AHREs developed in 14
28/136 (21%). Although %RA pacing and HRSc correlated, rate-responsive pacing was 15
associated with a HRSc only in the patients with high %RA pacing. Patients with HRSc≥80% 16
had higher occurrence of AHREs than those with HRSc<80% (p=0.01, log-rank test). After 17
adjusting for age, race, comorbidities, left ventricular ejection fraction, left atrial 18
diameter, %RA/RV pacing, and rate-response programming, HRSc (HR:2.84, 95% 19
CI:1.17-6.92; P=0.02) and male sex (HR:2.55, 95% CI:1.15-6.19; P=0.04) were independent 20
predictors of AHREs. 21
Conclusion
HRSc≥80% independently predicted new-onset, device-determined AHREs for 22
patients undergoing PM implant for SND. HRSc may have prognostic and therapeutic 23
implications. 24
25
26
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
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Introduction
1
Heart Rate Score (HRSc) is a novel parameter of chronotropic incompetence using 2
long-term heart rate variation for patients with cardiac implantable electronic devices 3
(CIEDs).1 It is defined as the percent of atrial beats in the largest paced/sensed 4
10-beat/minutes histogram bin of a pacemaker (PM) or implantable cardioverter-defibrillator 5
(ICD) (Figure 1). HRSc ≥70% predicts mortality in patients without atrial fibrillation (AF) 6
who have ICDs2 or cardiac resynchronization therapy defibrillators (CRT-Ds).3,4 7
Atrial high-rate episodes (AHREs) have attracted much attention in anticoagulant 8
therapy decisions for the risk of stroke in CIED patients.5,6 Unfortunately, no established data 9
from electrocardiograms or device interrogation can yet predict development of AHREs. We 10
recently showed that HRSc, early post-implantation, can predict new-onset AHREs in PM 11
patients in a large database.7 In this prior study, the incidence of AHREs, defined as >1% of 12
atrial beats ≥170 bpm (primary endpoint), correlated with the incidence of mode switch 13
episodes ≥24 hours. However, that study could not collect clinical information, including PM 14
indication, as it used a retrospective, de-identified, database. Therefore, it remains uncertain 15
whether HRSc predicts AHREs in PM patients with sinus node dysfunction (SND) 16
independent of clinical parameters. 17
The goal of this study was to evaluate the baseline HRSc post-PM implant in lieu 18
of clinical characteristics and determine if an independent relationship exists between the 19
initial HRSc and subsequent development of AHREs in patients with SND who underwent 20
dual-chamber PM implant. We focused on the incidence of AHREs developing after implant 21
for those with no AHREs during an initial 3-month observation. 22
Methods
23
Study Cohort 24
The cohort included consecutive patients with Boston Scientific PMs implanted for 25
SND from 2012-2021 at 4 hospitals (Cleveland Clinic in the Unites States, University of 26
Occupational and Environmental Health, Japan, Kyushu Rosai Hospital, and JCHO Kyushu 27
Hospital in Japan). Patients were excluded if they had single chamber or biventricular PMs, 28
atrial fibrillation (AF) before PM implantation or detected device-determined AHREs 29
detection during the first 3 months after implantation. 30
Data were analyzed retrospectively. The study was approved by the Institutional 31
Review Board of the Cleveland Clinic, University of Occupational and Environmental Health, 32
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
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Japan, Kyushu Rosai Hospital, and JCHO Kyushu Hospital. 1
Heart Rate Score (HRSc) and Baseline Period 2
HRSc was defined, as previously described, as the percent of all paced and sensed atrial 3
events in the most populated 10-bpm rate histogram bin of the CIED, shown in Figure 1.4 4
HRSc, used in all analyses, was determined from remote interrogation data from the 5
dual-chamber PM during the baseline period (the first 3 months after PM implantation). The 6
HRSc, calculated at the last transmission during the baseline period, was designated the 7
initial HRSc. 8
Outcome 9
The endpoint was device-determined AHREs after the baseline period. The endpoint for 10
AHREs was considered >1% of atrial beats ≥170 beats/min recorded by the PM. 11
Follow-up Data Analysis 12
The occurrence of AHREs was examined using stored remote monitoring data and 13
tracked during follow-up periods. The relationship between the initial HRSc and occurrence 14
of device-determined AHREs was assessed. 15
Statistical Analysis 16
Continuous variables were expressed as mean±standard deviation (SD), median 17
(interquartile range, IQR: 25th-75th), or range, depending on the distribution of data, whereas 18
categorical variables were expressed as counts and percentages. The optimal HRSc for 19
predicting device-determined AHREs was chosen to be 80% for AHREs based on J-statistics 20
(Figure 2). Kaplan-Meier analyses evaluated freedom from AHREs after the baseline period 21
for the two initial HRSc groups. Log-rank tests were performed to compare group classified 22
by initial HRSc. Variables with P values <0.05 after single variable analysis were entered 23
into a multiple variable regression analysis to assess if there is an independent predictor of 24
AHREs. P<0.05 was considered statistically significant. All statistical analysis were 25
performed using JMP version 15.2.0 (SAS Institute Inc., Cary, NC). 26
Results
27
Subjects Demographics 28
A total of 310 consecutive patients were enrolled. Patients who had atrial 29
fibrillation before PM implantation or device-determined AHREs in the first three months 30
(n=174) were excluded. The remaining 136 were followed for a median of 48.9 (IQR, 31
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
5
25.8-50.4) months. 1
Patient characteristics are listed in Table 1. The mean patient age was 75±10 years; 2
57 (41.9%) were male. Almost 50% of patients were Asian and 40% were European 3
American. No patients were prescribed anti-arrhythmic drugs. The mean left ventricular 4
ejection fraction (LVEF) and left atrial diameter (LAD) by echocardiogram were 62±7 % and 5
41±7 mm, respectively. The atrial lead was placed in the right atrium appendage in almost all 6
patients. The ventricular lead was implanted in right ventricular septum in approximately 7
two-thirds. 8
Pacemaker Programming and Interrogation Data 9
Pacemaker programming at the time of implantation is shown in Table 2. 10
Rate-responsive pacing was programmed in 70% of patients. Atrial sensitivity was 11
programmed to a mean of 0.4±0.1 mV and the lower rate limit (LRL) was programmed to 60 12
bpm in 124/136 (91.2%) patients. The cumulative percent of RA and RV pacing (%RA 13
pacing and %RV pacing) during the baseline period were a mean of 57±32 %, and 13±27 %, 14
respectively. 15
Heart Rate Score 16
The initial HRSc was calculated at a median of 51 days (IQR, 7-84) after 17
pacemaker implantation. The median value of the HRSc was 73% (IQR, 55-86%). 18
Outcome 19
Over a median of 48.9 months (IQR, 25.8-50.4 months), 28/136 (21%) subjects 20
experienced the endpoint of >1% AHREs. Subjects with an initial HRSc ≥80% had a higher 21
incidence of AHREs (Kaplan-Meier rate of 40%) versus those with an initial HRSc <80% 22
(Kaplan-Meier rate of 24%) through the 90.0 months during post-baseline follow-up. 23
(log-rank P =0.01) (Figure 3). 24
Association of Heart Rate Score and Percent of Right Atrial Pacing 25
Figure 4 shows a positive correlation between %RA pacing during the baseline 26
period and initial HRSc (R2=0.725, P<0.0001) for all patients. Patients were analyzed 27
additionally by the %RA pacing and rate-response (ON or OFF). HRSc was plotted against 28
RA pacing (Figures 5 and 6). In all 7 patients with high %RA pacing (pacing ≥70%) and no 29
rate response (OFF), HRSc was high (≥80%). For those with rate response ON, with RA 30
pacing ≥70%, 14 /54 patients had HRSc <80% (Figure 5). In patients with mid and low %RA 31
pacing (<70%), the distribution of HRSc did not differ between those with rate response ON 32
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
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and OFF (Figure 6). 1
Predictors for Incidence of Atrial High-Rate Episode 2
By multivariable analysis, the initial HRSc (HR: 2.84, 95% CI: 1.17-6.92; P=0.02) 3
and male sex (HR: 2.55, 95% CI: 1.15-6.19; P=0.04) were the only independent predictors of 4
AHREs incidence (Table 3). 5
Discussion
6
We found that the initial HRSc ≥80 %, calculated within 3 months after 7
dual-chamber PM implantation for SND, independently predicted new-onset, device defined, 8
AHREs in subsequent follow-up. This report is the first to demonstrate a relationship 9
between HRSc and device-detected AHREs in this population. Subjects with an initial HRSc 10
≥80% had an increased risk of AHREs. This analysis held true over the 48.9-month 11
follow-up, after adjustment for risk factors for AHREs including: age, race, histories of 12
hypertension, diabetes mellitus, coronary artery disease, cardiomyopathy, LVEF, 13
LAD, %RA/RV pacing, and rate-responsive pacing. Despite a positive correlation 14
between %RA pacing and HRSc for patients dependent on RA pacing, more than one-quarter 15
with rate-responsive pacing had HRSc <80%; those without rate-responsive pacing all had 16
HRSc ≥80%. 17
Our study indicates that a high initial HRSc (≥80%) predicts AHREs recorded after 18
PM implantation for SND independently. Currently no established indicator from 19
electrocardiograms or device interrogation has been shown to predict subsequent 20
development of AHREs. Although our prior report7 indicated that the HRSc predicts 21
subsequent AHREs in PM patients in a large de-identified database, clinical parameters 22
including PM indication could not be determined. Therefore, we investigated the relationship 23
between initial HRSc and subsequent AHREs focusing on PM patients implanted for SND in 24
the current study. 25
Our results demonstrate that HRSc predicts pacemaker detected AHREs. It is not 26
clear that this correlates directly to clinical AF. However, in our prior report7, the incidence 27
of AHREs defined by >1% of atrial beats ≥ 170 bpm correlated with the incidence of mode 28
switch episodes ≥24 hours which is likely to represent substantial paroxysmal or persistent 29
AF. 30
Age, gender, hypertension, diabetes mellitus, ischemic heart disease, 31
pharmacologic therapy, left atrial dilatation, and LVEF, are well known risk factors for 32
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
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AF.8-11 In our study, HRSc predicted AHREs independent of other risk factors. 1
Interestingly, however, male gender also predicted AHREs. This result is consistent with 2
community-based ARIC (Atherosclerosis Risk In Communities) study that showed higher 3
incidence of AF in males than females.12 In pacemaker patients with SND, high %RV pacing 4
is found to be associated with an increased AF.13-15 In addition, the association between %RA 5
pacing and AF has been also identified.16,17 6
In the current study, the median HRSc of 73% in PM patients with SND was higher 7
than prior reports.2,7 This result indicates that our study patients have severe chronotropic 8
incompetence. Patients with little or no spontaneous heart rate change above the LRL have a 9
high HRSc1. In addition, the optimal HRSc cut-point to predict device-determined AHREs 10
was found to be ≥80%. Notably, this optimal cut-point is different from HRSc ≥70% for 11
predicting mortality in patients with ICDs or CRT-Ds.3,4 12
Rate-responsive pacing can decrease HRSc in patients with sinus node dysfunction 13
who pace predominantly at the LRL and have a high HRSc (Figure 5). On the other hand, for 14
patients with SND who have less chronotropic incompetence, rate-responsive RA pacing may 15
be less likely affect HRSc (Figure 6). Rate responsive pacing may be excessive or even 16
harmful for those who have chronotropic competence.3 Rate-responsive pacing may be best 17
reserved for those with high baseline HRSc. However, LRL programming affects %RA 18
pacing and HRSc. A high LRL can override the resting intrinsic rate resulting in an increase 19
in %RA pacing and subsequently increase in HRSc. Conversely, programming a lower LRL 20
may decrease %RA pacing and lower HRSc. Most subjects in this study were programmed to 21
an LRL of 60 but prior data showed that lower LRL programming improved survival in a 22
large database of CRT-D subjects.18 Further research is needed to assess the relationships of 23
LRL, AHREs, %RA pacing and HRSc. 24
Study Limitations 25
This was a retrospective analysis and therefore, may be affected by unknown 26
confounders. We were unable to assess the impact of rate responsive pacing on AHREs. The 27
present study also does not answer whether lowering HRSc with pacemaker programming 28
affects AHREs. The population was not large enough to determine relationships of HRSc to a 29
higher percentage of AHREs or episodes that could become persistent AF. 30
Conclusion
31
In patients undergoing PM implant for SND, HRSc≥80% independently predicted 32
device-determined AHREs in long-term follow-up. As initial HRSc predicts AHREs in this 33
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
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population, this parameter may have prognostic and therapeutic implications. 1
Acknowledgements
2
Bruce L. Wilkoff, MD passed away before submitting this manuscript and authors express 3
our sincerest condolence to him and sincerely appreciate his incredible leadership, he gave to 4
see this project completed. And the authors sincerely appreciate Hiroyuki Takatsu, MD, of 5
Kyushu Rosai Hospital, and Kan Kikuchi, MD, of JCHO Kyushu Hospital for obtaining 6
patient’s demographic and HRSc data. 7
8
Sources of Funding: None 9
10
Disclosures: 11
KH and RK: have nothing to declare. 12
HA: Research Grant: Boston Scientific, Medtronic, Abbott 13
BO: Member of a DSMB sponsored by AstraZeneka 14
ADS: Consultant: VivaQuant, CardioSignal 15
PWJ, NW, and DP are salaried employees of Boston Scientific. 16
BLW: Consultant and Speaker: Boston Scientific, Medtronic, Abbott, Biotronik 17
GYHL: Consultant and speaker: BMS/Pfizer, Boehringer Ingelheim, Daiichi-Sankyo, Anthos. 18
He is a National Institute for Health and Care Research (NIHR) Senior Investigator and 19
co-principal investigator of the AFFIRMO project on multimorbidity in AF, which has 20
received funding from the European Union’s Horizon 2020 research and innovation 21
programme under grant agreement No 899871. 22
23
Data Availability: The data underlying this article will be shared on reasonable request to the 24
corresponding authors. 25
26
27
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References
1
1. Sharma A, Richards M, Olshansky B, Wold N, Jones P, Perschbacher D, Wilkoff BL. 2
Heart rate score, a measure related to chronotropic incompetence in pacemaker patients. 3
Heart Rhythm O2. 2021;2:124-131. 4
2. Gopinathannair R, Sharma A, Jones P, English C, Furmanek S, Olshansky B. Heart rate 5
score and outcomes in ICD patients: insights from the prospective randomized INTRINSIC 6
RV trial. J Interv Card Electrophysiol. 2022;64:87-93. 7
3. Olshansky B, Richards M, Sharma A, Wold N, Jones P, Perschbacher D, Wilkoff BL. 8
Survival after rate-responsive programming in patients with cardiac resynchronization 9
therapy-defibrillator implants is associate with a novel parameter: The Heart rate score. Circ 10
Arrhythm Electrophysiol. 2016;9:e003806. 11
4. Wilkoff BL, Richards M, Sharma A, Wold N, Jones P, Perschbacher D, Olshansky B. A 12
device histogram-based simple predictor of mortality risk in ICD and CRT-D patients: the 13
heart rate score. Pacing Clin Electrophysiol. 2017;40:333-343. 14
5. Kirchof P, Toennis T, Goette A, Camm AJ, Diener HC, Becher N, Becher N, Bertaglia E, 15
Blomstrom Lundqvist C, Borlich M, et al: NOAH-AFNET 6. Anticoagulation with edoxaban 16
in patients with atrial high-rate episodes. N Engl J Med. 2023;389:1167-1179. 17
6. Healey JS, Lopes RD, Granger CB, Alings M, Rivard L, Mclntyre WF, Atar D, Birnie 18
DH, Boriani G, Camm AJ, et al: ARTESIA investigators. Apixaban for stroke prevention in 19
subclinical atrial fibrillation. N Engl J Med. 2023 Nov 12. doi: 10.1056/NEJMoa2310234. 20
7. Hayashi K, Abe H, Olshansky B, Sharma AD, Jones PW, Wold N, Perschbacher D, 21
Kohno R, Richards M, Wilkoff BL. Initial heart rate score predicts new-onset atrial 22
tachyarrhythmias in pacemaker patients. Europace. 2023. Aug 2;25:euad242. doi: 23
10.1093/europace/euad242. 24
8. Himmelreich JCL, Lucassen W AM, Harskamp RE, Aussems C, van Weert HCPM, 25
Nielsen MMJ. CHARGE-AF in a national routine primary care electronic health records 26
database in the Netherlands: validation for 5-year risk of atrial fibrillation and implications 27
for patient selection in atrial fibrillation screening. Open Heart. 2021;8:e001459 28
9. Magnussen C, Niiranen TJ, Ojeda FM, Gianfagna F, Blankenberg S, Njølstad I, 29
Vartiainen E, Sans S, Pasterkamp G, Hughes M, et al; BiomarCaRE Consortium. Sex 30
difference and similarities in atrial fibrillation epidemiology, risk factors, and mortality in 31
community cohorts: Results from BiomarCaRE Consortium (Biomarker for cardiovascular 32
risk assessment in Europe). Circulation 2017;136:1588-1597. 33
10. Dittrich HC, Pearce LA, Asinger RW, McBride R, Zabalgoitia M, Pennock GD, Safford 34
RE, Rothbart RM, Halperin JL, Hart RG; Left atrial diameter in nonvalvular atrial 35
. CC-BY-NC 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted February 8, 2024. ; https://doi.org/10.1101/2024.02.07.24302470doi: medRxiv preprint
Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
10
fibrillation: An echocardiographic study. Stroke prevention in atrial fibrillation investigators. 1
Am Heart J. 1999;137:494-499. 2
11. Chioncel O, Lainscak M, Seferovic PM, Anker SD, Crespo-Leiro MG, Harjola VP, 3
Parissis J, Laroche C, Piepoli MF, Fonseca C, et al. Epidemiology and one-year outcomes in 4
patients with chronic heart failure and preserved, mid-range and reduced ejection fraction: an 5
analysis of the ESC Heart Failure long-term registry. Eur J Heart Fail. 2017;19:1574-1585. 6
12. Aronis KN, Zhao D, Hoogeveen RC, Alonso A, Ballantyne CM, Guallar E, Jones SR, 7
Martin SS, Nazarian S, Steffen BT, et al. Association of lipoprotein(a) levels with incident 8
atrial fibrillation and ischemic stroke: The ARIC (Atherosclerosis risk in communities) study. 9
J Am Heart Assoc. 2017;6:e007372. doi: 10.1161/JAHA.117.007372. 10
13. Sweeney MO, Hellkamp AS, Ellenbogen KA, Greenspon AJ, Freedman RA, Lee KL, 11
Lamas GA: Mode Selection Trial investigators. Adverse effect of ventricular pacing on heart 12
failure and atrial fibrillation among patients with normal baseline QRS duration in a clinical 13
trial of pacemaker therapy for sinus node dysfunction. Circulation. 2003;107:2932-2937. 14
14. Nielsen JC, Kristensen L, Anderson HR, Mortensen PT, Pedersen OL, Pedersen AK. A 15
randomized comparison of atrial and dual-chamber pacing in 177 consecutive patients with 16
sick sinus syndrome: echocardiographic and clinical outcome. J Am Coll Cardiol. 17
2003;42:614-623. 18
15. Hayashi K, Kohno R, Fujino Y , Takahashi M, Oginosawa Y , Ohe H, Miyamoto T, 19
Fukuda S, Araki M, Sonoda S, et al. Pacing from right ventricular septum and development 20
of new atrial fibrillation in paced patients with atrioventricular block and preserved left 21
ventricular function. Circ J. 2016;80:2302-2309. 22
16. Elkayam LU, Koehler JL, Sheldon TJ, Glotzer TV , Rosenthal LS, Lamas GA. The 23
influence of atrial and ventricular pacing on the incidence of atrial fibrillation: a 24
meta-analysis. Pacing Clin Electrophysiol. 2011;34:1593-1599. 25
17. Hjotshøj S, Riahi S, Nielsen JC, Skjøth F, Lundbye-Christensen S, Anderson HR; 26
DANPACE Investigators. Does atrial pacing lead to atrial fibrillation in patients with sick 27
sinus syndrome? Insight from DANPACE trial. Europace. 2014;16:241-245. 28
18. Sharma AD, Wilkoff BL, Richards M, Wold N, Jones P, Perschbacher D, Olshansky B. 29
Lower rate limit for pacing by cardiac resynchronization defibrillators: Should lower rate 30
programming be reconsidered? Heart Rhythm. 2021;18:2087-2093. 31
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The copyright holder for thisthis version posted February 8, 2024. ; https://doi.org/10.1101/2024.02.07.24302470doi: medRxiv preprint
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Figure and Table Legends 1
Figure 1. Example of HRSc 2
3
The HRSc was defined as the percent of all paced and sensed atrial event in single most 4
populated 10-bpm rate histogram bin. This figure shows an example of HRSc of the patients 5
in DDD mode. Here, HRSc is calculated as 74%. 6
HRSc indicates heart rate score. 7
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Figure 2. Optimal HRSc for predicting AHREs 1
2
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J-statistic analysis shows 80% as the optimal HRSc for predicting device-determined AHREs. 4
AHREs, atrial high-rate episodes; HRSc, heart rate score. 5
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
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Figure 3. Survival free from AHREs by HRSc 1
2
Survival free from AHREs by HRSc Grouping is shown in this Kaplan-Meyer analysis. 3
Kaplan-Meier analysis shows that subjects with an initial HRSc ≥80% had a higher incidence 4
of AHREs versus those with an initial HRSc <80%, the primary end point. 5
HRSc indicates heart rate score; AHREs, atrial high-rate episodes. 6
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Figure 4. Heart Rate Score and % RA pacing (Correlation by continuous measures) 1
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The %RA pacing and initial HRSc were strongly correlated. 3
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
15
Figure 5. Heart rate score and %RA pacing (%RA pacing ≥70%, N=61) 1
2
In the patients with %RA pacing ≥70%, when the rate response was OFF (red point, N=7), all 3
HRSc was ≥80%. On the other hand, when the rate response was ON (blue point, N=54), 14 4
/54 patients had HRSc <80% 5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
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perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
16
Figure 6. Heart rate score and %RA pacing (%RA pacing <70%, N=75) 1
2
In the patients with RA pacing <70%, the distribution of HRSc did not differ between the 3
cases with rate response ON (blue point, N=40) and OFF (red point, N=35). 4
HRSc indicates heart rate score; RA, right atrium. 5
6
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
17
Table 1. Patient characteristics 1
Demographics
Age (years)
Gender: Male, n (%)
Race, n (%)
Asian
European American
African American
Multi-racial
Medical history, n (%)
Hypertension
Diabetes mellitus
Ischemic heart disease
Cardiomyopathy
Medication regimen, n (%)
Angiotensin converting enzyme inhibitor
Angiotensin receptor blocker
ꞵ-blocker
Anti-arrhythmic drugs
Anticoagulant
Echocardiographic measurements
Left ventricular ejection fraction, %
Left atrial diameter, mm
Pacing site, n (%)
Right atrium
Appendage
Low septum
Right ventricle
Apex
Septum
75 ± 10
57 (41.9)
73 (53.7)
56 (41.2)
6 (4.4)
1 (0.7)
76 (55.9)
24 (17.6)
14 (10.3)
10 (7.3)
6 (4.4)
26 (19.1)
19 (14.0)
0 (0)
6 (4.4)
62 ± 7
41 ± 7
131 (96.3)
5 (3.7)
47 (34.6)
89 (65.4)
Continuous variables were expressed as mean ± standard deviation (SD); Categorical data are 2
presented as number (percentage). 3
4
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Heart Rate Score and Atrial High-Rate Episodes February 5, 2024
18
Table 2. Pacemaker programming and interrogation data 1
Pacing mode
DDD
DDDR
DDIR
Rate responsive pacing programming ON
Dual sensors (Accelerometer and Minute ventilation)
Single sensors
Accelerometer
Minute ventilation
Atrial sensitivity
Pacing rate, ppm
Lower rate limit
Max tracking rate limit
Atrioventricular interval, ms
Sensed
Paced
Cumulative% of
Atrial paced
Ventricular paced
42 (30.9)
93 (68.4)
1 (0.7)
94 (69.1)
63
31
11
20
0.4 ± 0.1
59 ± 4
124 ± 11
219 ± 74
238 ± 62
57 ± 32
13 ± 27
HR indicates heart rate; RV, right ventricle; DDD, non-rate responsive pacing; DDDR, DDIR, 2
rate responsive pacing. 3
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is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
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Table 3. Predictors for AHREs 1
Univariate analysis Multivariable analysis
OR (95% CI) P value OR (95% CI) P value
Age, per year
Gender, male
Hypertension
Diabetes mellitus
Coronary artery disease
Cardiomyopathy
ꞵ-blocker
Angiotensin receptor blocker
European American (Race) vs. Japanese
LV ejection fraction, per 1%
Left atrium diameter, mm
Rate response On
Lower rate limit, ppm
%RA pacing
%RV pacing
Initial heart rate score ≥ 80%
0.99 (0.96-1.04)
2.63 (1.12-6.17)
1.28 (0.55-3.00)
0.50 (0.14-1.80)
1.06 (0.27-4.08)
0.96 (0.19-4.80)
1.03 (0.31-3.34)
0.44 (0.12-1.60)
2.03 (0.85-4.86)
0.96 (0.90-1.02)
1.02 (0.95-1.10)
3.26 (1.05-10.08)
1.05 (0.93-1.19)
3.91 (0.94-16.27)
1.86 (0.45-7.68)
3.22 (1.37-7.61)
0.97
0.03
0.56
0.29
0.94
0.96
0.96
0.21
0.11
0.23
0.56
0.04
0.43
0.06
0.39
0.007
2.55 (1.05-6.19)
2.77 (0.86-8.91)
2.84 (1.17-6.92)
0.04
0.09
0.02
AHREs = Atrial high-rate episodes; RA = Right atrium; RV = Right ventricle; OR = Odds Ratio; CI = Confidence interval. 2
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