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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1753958</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2026.1753958</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Short-term HRV metrics as a method for intraoperative assessment of cardiac parasympathetic response to rapid atrial pacing</article-title>
<alt-title alt-title-type="left-running-head">Skoczy&#x144;ski et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphys.2026.1753958">10.3389/fphys.2026.1753958</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Skoczy&#x144;ski</surname>
<given-names>Przemys&#x142;aw</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3344496"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hrymniak</surname>
<given-names>Bruno</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1625973"/>
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<contrib contrib-type="author">
<name>
<surname>Skonieczny</surname>
<given-names>Bartosz</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Josiak</surname>
<given-names>Krystian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Biel</surname>
<given-names>Bartosz</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Wileczek</surname>
<given-names>Antoni</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2066852"/>
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<contrib contrib-type="author">
<name>
<surname>Czarnecka</surname>
<given-names>Katarzyna</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Stec</surname>
<given-names>Sebastian</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
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<contrib contrib-type="author">
<name>
<surname>Banasiak</surname>
<given-names>Waldemar</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Zy&#x15b;ko</surname>
<given-names>Dorota</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<name>
<surname>Jagielski</surname>
<given-names>Dariusz</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<aff id="aff1">
<label>1</label>
<institution>Department of Cardiology, Center for Heart Diseases, 4th Military Clinical Hospital</institution>, <city>Wroclaw</city>, <country country="PL">Poland</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Department of Emergency Medicine, Wroclaw Medical University</institution>, <city>Wroclaw</city>, <country country="PL">Poland</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Faculty of Medicine, Wroc&#x142;aw University of Science and Technology</institution>, <city>Wroclaw</city>, <country country="PL">Poland</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Panaceum-Med</institution>, <city>Sanok</city>, <country country="PL">Poland</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>American Heart of Poland</institution>, <city>D&#x105;browa G&#xf3;rnicza</city>, <country country="PL">Poland</country>
</aff>
<aff id="aff6">
<label>6</label>
<institution>Department of Cardiac Surgery and Transplantation, National Medical Institute of the Ministry of the Interior and Administration</institution>, <city>Warsaw</city>, <country country="PL">Poland</country>
</aff>
<aff id="aff7">
<label>7</label>
<institution>ELMedica, EP-Network</institution>, <city>Skar&#x17c;ysko-Kamienna</city>, <country country="PL">Poland</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Bruno Hrymniak, <email xlink:href="mailto:bruno.hrymniak@gmail.com">bruno.hrymniak@gmail.com</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-26">
<day>26</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1753958</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Skoczy&#x144;ski, Hrymniak, Skonieczny, Josiak, Biel, Wileczek, Czarnecka, Stec, Banasiak, Zy&#x15b;ko and Jagielski.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Skoczy&#x144;ski, Hrymniak, Skonieczny, Josiak, Biel, Wileczek, Czarnecka, Stec, Banasiak, Zy&#x15b;ko and Jagielski</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Heart rate variability (HRV) is widely used to assess parasympathetic influence on cardiac function and has proven useful in evaluating long-term autonomic effects of cardioneuroablation (CNA). However, HRV has not yet been used intraoperatively to quantify dynamic, short-term changes in parasympathetic tone. Rapid atrial pacing (AP) is expected to provoke a brief parasympathetic reaction, but no standardized method exists to assess this response in real time during electrophysiological procedures.</p>
</sec>
<sec>
<title>Aims</title>
<p>To evaluate HRV changes induced by rapid AP using RMSSD and the maximal-minimal PP interval difference (&#x394;PP), and to assess the feasibility of repeated intraoperative monitoring.</p>
</sec>
<sec>
<title>Methods</title>
<p>This prospective observational study enrolled 50 patients (median age 39 years [IQR 31-52]) without structural heart disease referred for electrophysiological study. RMSSD and &#x394;PP were calculated from four PP intervals before pacing and reassessed immediately after 30-s atrial pacing at 100 bpm. Heart rate, Sinus node recovery time, cSNRT and Wenckebach point were also measured. All measurements were repeated 2 minutes later.</p>
</sec>
<sec>
<title>Results</title>
<p>Rapid AP produced a significant increase in RMSSD (15.7 ms [9.7&#x2013;23.7] vs. 41.7 ms [25.6&#x2013;59.6], p &#x3c; 0.001) and &#x394;PP (33 ms [19-56] vs. 90 ms [60-152], p &#x3c; 0.001). The response was reproducible in the second pacing sequence (RMSSD 13.6&#x2192;41.0 ms; &#x394;PP 24&#x2192;107 ms; both p &#x3c; 0.001; Wilcoxon signed-rank test with Bonferroni correction). HRV changes occurred independently of sinus cycle length modifications. No significant differences were observed in SNRT, cSNRT, or Wenckebach point.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Rapid AP evokes a robust, repeatable parasympathetic response detectable using ultra-short HRV metrics-expressed as an increase in RMSSD and &#x394;PP. These parameters allow real-time intraoperative assessment of parasympathetic influence on the sinus node. This approach warrants validation in future studies involving CNA, atropine challenge, and ECVS.</p>
</sec>
</abstract>
<kwd-group>
<kwd>autonomic nervous system</kwd>
<kwd>cardioneuroablation (CNA)</kwd>
<kwd>electrophysiological study (EPS)</kwd>
<kwd>HRV (heart rate variability)</kwd>
<kwd>parasympathetic nervous system</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="1"/>
<ref-count count="23"/>
<page-count count="00"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cardiac Electrophysiology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<p>
<list list-type="bullet">
<list-item>
<p>Rapid atrial pacing induces a measurable parasympathetic response, expressed as increases in RMSSD and &#x394;PP. These heart rate variability parameters can be assessed intraoperatively, offering a simple and repeatable method to quantify vagal modulation of the sinus node during electrophysiological procedures. The reproducibility of this response within a single intervention supports its potential utility for monitoring autonomic effects in real time. This approach may be particularly valuable for evaluating the impact of ablation strategies such as pulmonary vein isolation or cardioneuroablation. However, it reflects sinus node activity only and requires further validation.</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="intro" id="s2">
<title>Introduction</title>
<p>In recent years, the repertoire of electrophysiological manoeuvres has expanded to include extracardiac vagal nerve stimulation (ECVS), which enables controlled induction of marked hypervagotonia. This phenomenon has proven valuable in assessing parasympathetic influence on the cardiac pacemaking and conduction system, as well as its modulation. It is now used intraoperatively to evaluate the effectiveness of cardioneuroablation (CNA) (<xref ref-type="bibr" rid="B15">Pachon et al., 2015</xref>).</p>
<p>CNA, as a method of modulating the parasympathetic influence on the heart&#x2019;s pacemaking and conduction system, is finding increasing use in the treatment of reflex syncope in vasovagal syndrome (VVS) as well as in functional, symptomatic bradycardia resulting from both sinus node dysfunction (SND) and various degrees of atrioventricular blocks (AVB) (<xref ref-type="bibr" rid="B13">Pachon et al., 2005</xref>; <xref ref-type="bibr" rid="B14">Pachon et al., 2011</xref>; <xref ref-type="bibr" rid="B17">Piotrowski et al., 2022</xref>; <xref ref-type="bibr" rid="B3">Aksu et al., 2021</xref>), which -until recently - were considered irreversible and indicated implantation of a pacemaker (PM) (<xref ref-type="bibr" rid="B10">Glikson et al., 2021</xref>). The possibility of modifying parasympathetic tone requires intraoperative assessment. The ECVS technique introduced by Pachon requires general anesthesia and patient paralysis, which significantly complicates its use and limits its availability (<xref ref-type="bibr" rid="B15">Pachon et al., 2015</xref>). Despite its limitations and the lack of a standardized methodology for performing CNA, ECVS is generally regarded as the reference method. It is commonly employed to assess the intra-procedural endpoint of CNA both in the treatment of cardioinhibitory VVS and in functional bradycardia (<xref ref-type="bibr" rid="B17">Piotrowski et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Reichert et al., 2022</xref>; <xref ref-type="bibr" rid="B22">Stod&#xf3;&#x142;kiewicz-Nowarska et al., 2024</xref>; <xref ref-type="bibr" rid="B21">Skoczy&#x144;ski et al., 2024</xref>). The atropine test, which is also effective in assessing vagal influence on the heart, has the significant limitation of atropine&#x2019;s prolonged action, which prevents repeated use during a single procedure (<xref ref-type="bibr" rid="B13">Pachon et al., 2005</xref>; <xref ref-type="bibr" rid="B2">Aksu et al., 2019</xref>). Non-invasive assessment of parasympathetic tone using heart rate variability (HRV) analysis has been used for many years but is based on long-term Holter monitoring. Its usefulness in evaluating long-term CNA effects has been demonstrated (<xref ref-type="bibr" rid="B16">Pachon et al., 2020</xref>); however, it has not yet been used for intraoperative assessment of parasympathetic tone. The only publication attempting to use HRV assessment during EPS indicates its usefulness in assessing sympathetic responses (<xref ref-type="bibr" rid="B9">Fuenmayor et al., 1996</xref>).</p>
<p>The sympathetic-parasympathetic balance is a dynamic state, modified by many factors, including heart rate and cardiac output. It has been hypothesized that both tachyarrhythmias and imposed rapid AP potentially associated with transient changes in cardiac output may evoke compensatory parasympathetic modulation via baroreceptor engagement (<xref ref-type="bibr" rid="B12">La Rovere et al., 1995</xref>). Until now, however, HRV analysis has not been used intraoperatively to assess parasympathetic tone and its changes under the stimulus of rapid pacing. The possibility of intraoperative assessment of the short-term parasympathetic response to rapid atrial pacing (AP) could enable multiple, repeatable measurements. In the future, this could allow its use as a method for intraoperative evaluation of the effectiveness of procedures that modulate parasympathetic tone, such as CNA.</p>
<sec id="s2-1">
<title>Aims</title>
<p>
<list list-type="bullet">
<list-item>
<p>To evaluate changes in HRV in response to rapid AP, based on the variation in RMSSD and &#x394;PP (difference between the longest and shortest PP intervals), measured before and after atrial stimulation.</p>
</list-item>
<list-item>
<p>To assess the feasibility of intra-procedural, repeatable monitoring of HRV response to rapid AP, using changes in RMSSD and &#x394;PP, measured in pre- and post-stimulation phases.</p>
</list-item>
</list>
</p>
</sec>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>Materials and methods</title>
<p>This was a prospective, single-center observational study involving 50 patients (median age 39 years [IQR 31-52]; 46% male) referred for invasive electrophysiological study (EPS) due to palpitations. All patients had no comorbidities, structurally normal hearts, and no evidence of sinus node dysfunction (SND) or atrioventricular conduction abnormalities. Inducible arrhythmias were not identified during EPS. Both diseases and pharmacotherapy that could affect the autonomic nervous system were criteria for exclusion from the study. Patients were not treated with beta-blockers, antiarrhythmic medications, or ivabradine. On the day of the study, they were fasting. The procedure was performed under local anesthesia in the area of vascular access, and no sedative or calming medications were used. The baseline demographic characteristics of the cohort are presented in <xref ref-type="table" rid="T1">Table 1</xref>. All patients provided written informed consent to participate in the study, which was approved by the Bioethics Committee of the Wroclaw Medical University (KB 622/2024).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic characteristics.</p>
</caption>
<table>
<tbody valign="top">
<tr>
<td align="left">Age, years, median (IQR)</td>
<td align="left">39 (31&#x2013;52)</td>
</tr>
<tr>
<td align="left">Male gender, n (%)</td>
<td align="left">23 (46)</td>
</tr>
<tr>
<td align="left">Weight (kg) median (IQR)</td>
<td align="left">72.5 (60&#x2013;88)</td>
</tr>
<tr>
<td align="left">Height (cm), median (IQR)</td>
<td align="left">171 (165&#x2013;183)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3-1">
<title>Electrophysiological protocol</title>
<p>The study protocol was performed during standard EPS. Each subject underwent 2 standardized pacing protocols, applied before (first protocol) and 2 min after (second protocol) the diagnostic EPS.</p>
<p>Each protocol consisted of:<list list-type="simple">
<list-item>
<label>-</label>
<p>resting measurement of spontaneous sinus rhythm, labeled as period A (first protocol) and period C (second protocol) &#x2013; 4 cycles before rapid AP</p>
</list-item>
<list-item>
<label>-</label>
<p>a 30-s AP at 100 bpm, followed by a second measurement, labeled as period B and period D, respectively.</p>
</list-item>
</list>
</p>
<p>Just before stimulation, 4 consecutive sinus cycles (PP intervals) were manually measured from high-resolution intracardiac tracings - period A and C and the first 4 cycles after the return of sinus rhythm following pacing (period B and period D) (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> Methodology of PP cycle measurement - four consecutive PP intervals preceding atrial rapid pacing and the first four PP intervals after the return of sinus rhythm following pacing termination are shown. Measurements were obtained from recordings of the coronary sinus electrogram. <bold>(B)</bold> Schematic representation of the protocol and predefined analysis periods (A-D). AP, Atrial Pacing, SNRT, Sinus Node Recovery Time.</p>
</caption>
<graphic xlink:href="fphys-17-1753958-g001.tif">
<alt-text content-type="machine-generated">Panel A contains two electrophysiological tracings showing intracardiac electrograms from multiple leads, with intervals and annotations related to cardiac conduction and pacing. Panel B shows a timeline diagram illustrating an experimental protocol with periods of sinus rhythm, rapid atrial pacing at one hundred beats per minute, sinus node recovery time measurements, and defined intervals labeled A, B, C, and D.</alt-text>
</graphic>
</fig>
<p>Both PP interval measurements and atrial stimulation were performed using a ten-pole electrode placed in the coronary sinus. Measurements and stimulation were always performed from the same electrode rings for each patient. If a measurement was contaminated by extrasystole, artifacts, or ineffective stimulation, it was not considered and was repeated after 2 min.</p>
<p>From these 4 cycles, the following time-domain HRV parameters were calculated:<list list-type="simple">
<list-item>
<label>-</label>
<p>&#x394;PP (in milliseconds), defined as the difference between the longest and shortest PP intervals;</p>
</list-item>
<list-item>
<label>-</label>
<p>RMSSD (root mean square of successive differences), calculated as:</p>
</list-item>
</list>
<disp-formula id="equ1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mi>M</mml:mi>
<mml:mi>S</mml:mi>
<mml:mi>S</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msqrt>
<mml:mfrac>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
</mml:mstyle>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="&#x7c;">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mfrac>
</mml:msqrt>
</mml:mrow>
</mml:math>
</disp-formula>where n &#x3d; 4 (<xref ref-type="bibr" rid="B20">Shaffer et al., 2014</xref>).</p>
<p>These indices were chosen to estimate short-term vagal modulation of sinus node activity in response to AP. Both metrics reflect beat-to-beat variability and are physiologically sensitive to parasympathetic tone.</p>
<p>In addition, standard electrophysiological parameters were recorded:<list list-type="simple">
<list-item>
<label>-</label>
<p>Sinus node recovery time (SNRT) and its corrected form (cSNRT, defined as SNRT - baseline cycle length),</p>
</list-item>
<list-item>
<label>-</label>
<p>Atrio-ventricular Wenckebach point (WP), defined as the highest AP rate with 1:1 AV conduction.</p>
</list-item>
</list>
</p>
<p>All measurements were taken in sinus rhythm under resting, non-sedated conditions, using standard quadripolar catheters and a multi-channel recording system.</p>
</sec>
<sec id="s3-3">
<title>Statistical analysis</title>
<p>Short-term sinus rhythm variability was assessed using 2 time-domain indices derived from 4 consecutive PP intervals during predefined periods (labeled A-D):<list list-type="simple">
<list-item>
<label>-</label>
<p>&#x394;PP, defined as the difference between duration of the longest and shortest PP interval within the 4-cycle window (PP_max - PP_min);</p>
</list-item>
<list-item>
<label>-</label>
<p>RMSSD.</p>
</list-item>
</list>
</p>
<p>Variables are presented as medians and IQR. Normality was assessed using the Shapiro-Wilk test. Correlations between paired measurements were evaluated using Spearman&#x2019;s rank correlation coefficient (&#x3c1;) when normality assumptions were not met. Differences across repeated measures (periods A-D) were analyzed using Friedman&#x2019;s non-parametric ANOVA. Post-hoc testing focused on the prespecified pacing contrasts (A vs. B and C vs. D) and was performed using two-sided Wilcoxon signed-rank tests with Bonferroni correction for two comparisons (significance threshold p &#x3c; 0.025). Exact p-values are reported where possible; very small values are reported as p &#x3c; 0.001.</p>
<p>To assess measurement stability and the effect of pacing on autonomic tone, the following steps were undertaken:<list list-type="simple">
<list-item>
<label>-</label>
<p>Bland-Altman analysis was used to evaluate agreement between paired conditions and to quantify changes induced by atrial pacing. For each comparison, we calculated:</p>
</list-item>
<list-item>
<label>-</label>
<p>Bias (mean difference),</p>
</list-item>
<list-item>
<label>-</label>
<p>Standard deviation (SD) of the differences,</p>
</list-item>
<list-item>
<label>-</label>
<p>Relative bias (%bias) - bias divided by the mean of the pair.</p>
</list-item>
</list>
</p>
<p>For Bland-Altman comparisons, differences were defined as the first period minus the second period (e.g., A&#x2212;B, C&#x2212;D). Therefore, negative bias indicates higher values in the second (post-pacing) period.<list list-type="simple">
<list-item>
<label>-</label>
<p>Second-order difference plots (SODP) were used as an exploratory visualization. For each subject and metric, we computed consecutive between-period differences across A-D (&#x394;1 &#x3d; B-A, &#x394;2 &#x3d; C-B, &#x394;3 &#x3d; D-C) and plotted (&#x394;1,&#x394;2) and (&#x394;2,&#x394;3). SODP was used to highlight directional consistency across epochs and to flag potential outliers for cautious interpretation.</p>
</list-item>
</list>
</p>
<p>Given the short sampling window (4 cycles per measurement), limits of agreement (LoA) were not reported, as their interpretation would be statistically unstable and potentially misleading in this context. Instead, bias and %bias were prioritized as the main descriptors of agreement and effect size for both RMSSD and &#x394;PP.</p>
<p>To explore the comparative sensitivity of RMSSD and &#x394;PP in detecting pacing-induced autonomic changes, we analyzed the frequency of positive deltas (post-pre stimulation) for each index during the first (A&#x2192;B) and second (C&#x2192;D) pacing protocols. A positive delta was defined as any increase in the respective metric following atrial pacing (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>&#x394;PP and RMSSD pacing-induced changes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Comparison</th>
<th align="left">Metric</th>
<th align="left">Patients with &#x394; &#x3e; 0 (n)</th>
<th align="left">Patients with &#x394; &#x3e; 0 (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">A vs. B</td>
<td align="left">&#x394;PP</td>
<td align="left">43</td>
<td align="left">86</td>
</tr>
<tr>
<td align="left">A vs. B</td>
<td align="left">RMSSD</td>
<td align="left">41</td>
<td align="left">82</td>
</tr>
<tr>
<td align="left">C vs. D</td>
<td align="left">&#x394;PP</td>
<td align="left">47</td>
<td align="left">94</td>
</tr>
<tr>
<td align="left">C vs. D</td>
<td align="left">RMSSD</td>
<td align="left">43</td>
<td align="left">86</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>All analyses were performed using DataTab (<ext-link ext-link-type="uri" xlink:href="https://datatab.net">https://datatab.net</ext-link>). A p-value below 0.05 was considered statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<p>The study confirmed a physiological phenomenon consisting of an increase in HRV and prolongation of the median SRCL in response to rapid AP during EPS. A significant increase in the median sinus rhythm cycle length (SR CL), as well as &#x394;PP and RMSSD, was observed after rapid AP in both pacing sequences (A vs. B: RMSSD p &#x3c; 0.001, &#x394;PP p &#x3c; 0.001; C vs. D: RMSSD p &#x3c; 0.001, &#x394;PP p &#x3c; 0.001; Wilcoxon signed-rank test with Bonferroni correction). Baseline measurements were comparable (A vs. C: RMSSD p &#x3d; 0.145; &#x394;PP p &#x3d; 0.274) and post-pacing values did not differ between the two pacing sequences (B vs. D: RMSSD p &#x3d; 0.499; &#x394;PP p &#x3d; 0.688). Furthermore, SNRT, cSNRT, and WP did not significantly differ between the two post-pacing measurements (B vs. D: p &#x3d; 0.253, p &#x3d; 0.125, and p &#x3d; 0.729, respectively) (<xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>SR CL, SNRT, cSNRT, WP and HRV parameters across stimulation periods. SNRT, cSNRT and Wenckebach point were assessed only after pacing, corresponding to periods B and D.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameter</th>
<th align="left">Period</th>
<th align="left">p-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">SR CL before 1<sup>st</sup> pacing, (ms), median (IQR)</td>
<td align="left">A</td>
<td align="left">815 (759&#x2013;957)</td>
</tr>
<tr>
<td align="left">SR CL after, 1<sup>st</sup> pacing (ms), median (IQR)</td>
<td align="left">B</td>
<td align="left">850 (736-1032) &#x2a;&#x23;</td>
</tr>
<tr>
<td align="left">SR CL before 2<sup>nd</sup> pacing, (ms), median (IQR)</td>
<td align="left">C</td>
<td align="left">820 (724&#x2013;1023)</td>
</tr>
<tr>
<td align="left">SR CL after, 2<sup>nd</sup> pacing (ms), median (IQR)</td>
<td align="left">D</td>
<td align="left">861 (728-1023) &#x2a;&#x23;</td>
</tr>
<tr>
<td align="left">SNRT after 1st pacing (period B), ms, median (IQR)</td>
<td align="left"/>
<td align="left">1147 (984&#x2013;1380)</td>
</tr>
<tr>
<td align="left">SNRT after 2nd pacing (period D), ms, median (IQR)</td>
<td align="left"/>
<td align="left">1177 (1036&#x2013;1404)</td>
</tr>
<tr>
<td align="left">p (B vs. D)</td>
<td align="left"/>
<td align="left">0.253</td>
</tr>
<tr>
<td align="left">cSNRT after 1st pacing (period B), ms, median (IQR)</td>
<td align="left"/>
<td align="left">332 (282&#x2013;403)</td>
</tr>
<tr>
<td align="left">cSNRT after 2nd pacing (period D), ms, median (IQR)</td>
<td align="left"/>
<td align="left">382 (293&#x2013;434)</td>
</tr>
<tr>
<td align="left">p (B vs. D)</td>
<td align="left"/>
<td align="left">0.125</td>
</tr>
<tr>
<td align="left">WP after 1st pacing (period B), ms, median (IQR)</td>
<td align="left"/>
<td align="left">332 (282&#x2013;403)</td>
</tr>
<tr>
<td align="left">WP after 2nd pacing (period D), ms, median (IQR)</td>
<td align="left"/>
<td align="left">381 (293&#x2013;434)</td>
</tr>
<tr>
<td align="left">p (B vs. D)</td>
<td align="left"/>
<td align="left">0.729</td>
</tr>
<tr>
<td align="left">RMSSD before 1<sup>st</sup> pacing, (ms), median (IQR)</td>
<td align="left">A</td>
<td align="left">15.7 (9.7&#x2013;23.7)</td>
</tr>
<tr>
<td align="left">RMSSD after, 1<sup>st</sup> pacing (ms), median (IQR)</td>
<td align="left">B</td>
<td align="left">41.7 (25.6&#x2013;59.6) &#x2a;&#x23;</td>
</tr>
<tr>
<td align="left">RMSSD before 2<sup>nd</sup> pacing, (ms), median (IQR)</td>
<td align="left">C</td>
<td align="left">13.6 (8.4&#x2013;25.6)</td>
</tr>
<tr>
<td align="left">RMSSD after, 2<sup>nd</sup> pacing (ms), median (IQR)</td>
<td align="left">D</td>
<td align="left">41.0 (23.8&#x2013;57.7) &#x2a;&#x23;</td>
</tr>
<tr>
<td align="left">&#x394;PP before 1<sup>st</sup> pacing, (ms), median (IQR)</td>
<td align="left">A</td>
<td align="left">33 (19&#x2013;56)</td>
</tr>
<tr>
<td align="left">&#x394;PP after, 1<sup>st</sup> pacing (ms), median (IQR)</td>
<td align="left">B</td>
<td align="left">90 (60-152) &#x2a;&#x23;</td>
</tr>
<tr>
<td align="left">&#x394;PP before 2<sup>nd</sup> pacing, (ms), median (IQR)</td>
<td align="left">C</td>
<td align="left">24 (13&#x2013;48)</td>
</tr>
<tr>
<td align="left">&#x394;PP after, 2<sup>nd</sup> pacing (ms), median (IQR)</td>
<td align="left">D</td>
<td align="left">107 (102-136) &#x2a;&#x23;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SRCL, Sinus Rhythm cycle length; SNRT, Sinus Node Recovery Time; cSNRT, corrected Sinus Node Recovery Time; WP, Wenckebach point; HRV, Heart Rate Variability.</p>
</fn>
<fn>
<p>&#x2a;- p &#x3c; 0.001 vs. A (Wilcoxon signed-rank, Bonferroni-corrected).</p>
</fn>
<fn>
<p>&#x23;- p &#x3c; 0.001 vs. C (Wilcoxon signed-rank, Bonferroni-corrected).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Median (IQR) values across periods <bold>(A&#x2013;D)</bold> for <bold>(A)</bold> sinus rhythm cycle length (SR CL), <bold>(B)</bold> sinus node recovery time (SNRT), <bold>(C)</bold> corrected SNRT (cSNRT), <bold>(D)</bold> Wenckebach point (WP), <bold>(E)</bold> RMSSD, and <bold>(F)</bold> &#x394;PP. SNRT, cSNRT, and WP are shown for post-pacing periods <bold>(B)</bold> and <bold>(D)</bold>. p &#x003C; 0.001 vs A; &#x0023;p &#x003C; 0.001 vs C (Wilcoxon signed-rank test, Bonferroni-corrected). SRCL, Sinus Rhythm Cycle Length; SNRT, Sinus Node Recovery Time; cSNRT, corrected Sinus Node Recovery Time; WP, Wenckebach Point.</p>
</caption>
<graphic xlink:href="fphys-17-1753958-g002.tif">
<alt-text content-type="machine-generated">Grouped figure with six error-bar charts showing measurements labeled as SR CL, SNRT, cSNRT, WP, RMSSD, and &#x394;PP, in milliseconds, each comparing groups A&#x2013;D or B and D. Significant differences are indicated for some variables with p-values less than zero point zero zero one, especially between groups B or D versus A and C.</alt-text>
</graphic>
</fig>
<p>The Bland-Altman analysis was applied to evaluate changes in short-term HRV - RMSSD and &#x394;PP - across 4 predefined conditions: baseline before the first stimulation (A), post-first stimulation (B), pre-second stimulation (C), and post-second stimulation (D). The following comparisons were analyzed: A vs. B, A vs. C, C vs. D, and B vs. D. For each pair, the bias, standard deviation (SD) of differences, and relative bias (%) were calculated (<xref ref-type="table" rid="T4">Table 4</xref> for &#x394;PP; <xref ref-type="table" rid="T5">Table 5</xref> for RMSSD).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Bland-Altman agreement analysis for &#x394;PP.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Periods</th>
<th align="left">Bias [ms]</th>
<th align="left">SD [ms]</th>
<th align="left">Bias (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">A vs. B</td>
<td align="left">&#x2212;84.25</td>
<td align="left">98.38</td>
<td align="left">&#x2212;19.31</td>
</tr>
<tr>
<td align="left">A vs. C</td>
<td align="left">&#x2b;4.92</td>
<td align="left">34.65</td>
<td align="left">&#x2b;13.49</td>
</tr>
<tr>
<td align="left">C vs. D</td>
<td align="left">&#x2212;76.44</td>
<td align="left">68.16</td>
<td align="left">&#x2212;24.42</td>
</tr>
<tr>
<td align="left">B vs. D</td>
<td align="left">&#x2b;12.73</td>
<td align="left">117.55</td>
<td align="left">&#x2b;10.15</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Bland-Altman agreement analysis for RMSSD.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Periods</th>
<th align="left">Bias [ms]</th>
<th align="left">SD [ms]</th>
<th align="left">Bias (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">A vs. B</td>
<td align="left">&#x2212;33.33</td>
<td align="left">54.14</td>
<td align="left">&#x2212;43.34</td>
</tr>
<tr>
<td align="left">A vs. C</td>
<td align="left">&#x2b;2.88</td>
<td align="left">16.70</td>
<td align="left">&#x2b;4.90</td>
</tr>
<tr>
<td align="left">C vs. D</td>
<td align="left">&#x2212;29.63</td>
<td align="left">37.58</td>
<td align="left">&#x2212;38.30</td>
</tr>
<tr>
<td align="left">B vs. D</td>
<td align="left">&#x2b;7.92</td>
<td align="left">59.12</td>
<td align="left">&#x2b;9.01</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the comparison of A vs. B (before vs. after the first stimulation), RMSSD increased substantially, reflected by a negative bias (A&#x2212;B: &#x2212;33.33 ms; SD: 54.14 ms; <xref ref-type="table" rid="T5">Table 5</xref>; <xref ref-type="fig" rid="F3">Figure 3A</xref>). A similar pattern was observed for C vs. D (C&#x2212;D: &#x2212;29.63 ms; SD: 37.58 ms; <xref ref-type="table" rid="T5">Table 5</xref>; <xref ref-type="fig" rid="F3">Figure 3B</xref>). The baseline comparison A vs. C showed minimal bias (A&#x2212;C: &#x2b;2.88 ms; SD: 16.70 ms; <xref ref-type="table" rid="T5">Table 5</xref>; <xref ref-type="fig" rid="F3">Figure 3C</xref>), supporting good stability of resting RMSSD. In contrast, the post-pacing comparison B vs. D showed a small positive bias (B&#x2212;D: &#x2b;7.92 ms; <xref ref-type="table" rid="T5">Table 5</xref>; <xref ref-type="fig" rid="F3">Figure 3D</xref>) with the largest dispersion (SD: 59.12 ms), indicating substantial inter-individual variability in response to repeated pacing.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Bland-Altman plots comparing RMSSD across stimulation periods. <bold>(A)</bold> A vs B, <bold>(B)</bold> C vs D, <bold>(C)</bold> A vs C, <bold>(D)</bold> B vs D.</p>
</caption>
<graphic xlink:href="fphys-17-1753958-g003.tif">
<alt-text content-type="machine-generated">Four Bland-Altman plots labeled A, B, C, and D compare RMSSD values between different pairings, displaying differences on the y-axis against the mean on the x-axis, with mean differences and ninety-five percent limits of agreement indicated by dotted lines.</alt-text>
</graphic>
</fig>
<p>&#x394;PP showed a complementary pattern. After pacing, &#x394;PP increased markedly, reflected by negative biases in A vs. B (A&#x2212;B: &#x2212;84.25 ms; SD: 98.38 ms; <xref ref-type="table" rid="T4">Table 4</xref>; <xref ref-type="fig" rid="F4">Figure 4A</xref>) and C vs. D (C&#x2212;D: &#x2212;76.44 ms; SD: 68.16 ms; <xref ref-type="table" rid="T4">Table 4</xref>; <xref ref-type="fig" rid="F4">Figure 4B</xref>). These consistent increases in variability support the hypothesis of a sympathetic-parasympathetic compensatory mechanism. The baseline comparison A vs. C demonstrated only a small bias (A&#x2212;C: &#x2b;4.92 ms; SD: 34.65 ms; <xref ref-type="table" rid="T4">Table 4</xref>; <xref ref-type="fig" rid="F4">Figure 4C</xref>), whereas the post-pacing comparison B vs. D showed a small positive bias (B&#x2212;D: &#x2b;12.73 ms; <xref ref-type="table" rid="T4">Table 4</xref>; <xref ref-type="fig" rid="F4">Figure 4D</xref>) with the largest dispersion (SD: 117.55 ms).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Bland-Altman plots comparing &#x394;PP across stimulation periods. <bold>(A)</bold> A vs B, <bold>(B)</bold> C vs D, <bold>(C)</bold> A vs C, <bold>(D)</bold> B vs D.</p>
</caption>
<graphic xlink:href="fphys-17-1753958-g004.tif">
<alt-text content-type="machine-generated">Panel of four Bland-Altman plots labeled A, B, C, and D, each displaying scatter plots with dots representing paired data points. Each plot features a central mean difference line and upper and lower limits of agreement, highlighted by dashed lines. Axis labels indicate differences and means of various DPP pairings as follows: A compares A and B, B compares C and D, C compares A and C, and D compares B and D. Values for mean and limits of agreement are indicated on each plot.</alt-text>
</graphic>
</fig>
<p>However, the Shapiro-Wilk test indicated non-normality of the differences for both A vs. C (p &#x3d; 0.0082) and B vs. D (p &#x3c; 0.001); therefore, Spearman&#x2019;s rank correlation was used. Agreement was moderate at rest (A vs. C: &#x3c1; &#x3d; 0.553, p &#x3c; 0.001) and weak post-pacing (B vs. D: &#x3c1; &#x3d; 0.344, p &#x3d; 0.018).</p>
<p>The Shapiro-Wilk test confirmed non-normality in both A vs. C (p &#x3d; 0.0021) and B vs. D (p &#x3c; 0.001) comparisons for &#x394;PP, and Spearman correlation analysis showed a moderate agreement for A vs. C (&#x3c1; &#x3d; 0.558, p &#x3c; 0.001) and weak agreement for B vs. D (&#x3c1; &#x3d; 0.271, p &#x3d; 0.072), indicating that repeatability was preserved at rest but varied substantially post-intervention.</p>
<p>Notably, the Bland-Altman plots (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>) included a small number of strong outliers. As ectopy was carefully excluded during segment selection, these extreme points are more likely related to the high sensitivity of ultra-short (4-cycles) variability estimates to single-beat annotation uncertainty (e.g., subtle P-wave delineation issues, transient noise, or borderline cycle-length marking). Nevertheless, true inter-individual heterogeneity in the autonomic response to rapid AP cannot be excluded; therefore, these observations were interpreted cautiously in the context of the overall group-level pattern.</p>
<p>SODP provided an intuitive visualization of the temporal sequence of changes across the protocol (<xref ref-type="fig" rid="F5">Figure 5</xref>). For both RMSSD-derived and &#x394;PP measures, most observations mapped to the (&#x2b;,-) quadrant for (B-A, C-B), indicating an increase immediately after pacing followed by a decrease after the 2-min pause, while the corresponding (C-B, D-C) points predominantly mapped to the (-,&#x2b;) quadrant, reflecting recovery followed by a renewed increase after the second pacing cycle. SODP additionally facilitated visual identification of these extreme observations, which deviated from the predominant directional pattern.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>SODP for <bold>(A)</bold> RMSSD and <bold>(B)</bold> &#x394;PP across periods (A-D). Points represent consecutive between-period differences (B-A, C-B) and (C-B, D-C); axes show &#x394;(n) and &#x394;(n&#x2b;1) (ms).</p>
</caption>
<graphic xlink:href="fphys-17-1753958-g005.tif">
<alt-text content-type="machine-generated">Two second-order difference scatter plots labeled A and B compare sets of points using blue circles for (B-A, C-B) and orange triangles for (C-B, D-C). Both plots have axes labeled &#x394;(n) and &#x394;(n+1). Plot A shows SODP-RMSSD values and plot B shows SODP-&#x394;PP (milliseconds), with each plot illustrating observable clustering patterns and dispersion along both axes.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>The main finding of this study is the identification of a distinct physiological response whereby rapid AP transiently increases parasympathetic tone, a reaction that can be reliably assessed intraoperatively during EPS using changes in RMSSD and &#x394;PP derived from only four consecutive PP intervals. Importantly, this response appears to be independent of respiratory influence.</p>
<p>A significant rise in both RMSSD and &#x394;PP was observed immediately after pacing. This parasympathetic response proved to be short-lived, as sinus rate, RMSSD, and &#x394;PP returned to baseline within no more than 2 minutes after pacing cessation.</p>
<p>The mechanism underlying this phenomenon is likely multifactorial. Rapid AP may transiently alter hemodynamics (e.g., cardiac output and arterial pressure), which could shift autonomic balance toward increased vagal modulation and trigger compensatory reflex responses aimed at restoring homeostasis. One plausible contributor is the carotid baroreceptor reflex, whereby a rise in arterial pressure activates stretch receptors and can elicit parasympathetic-mediated bradycardia and a hypotensive response (<xref ref-type="bibr" rid="B12">La Rovere et al., 1995</xref>). In our study, the absence of concurrent blood pressure monitoring precludes direct confirmation that this pathway accounted for the observed HRV changes.</p>
<p>Because enhanced vagal activity produces sinus rhythm cycle length changes consistent with those observed in our study, we consider the pacing-induced increase in RMSSD and &#x394;PP to represent a transient surge in parasympathetic output (<xref ref-type="bibr" rid="B6">DeGiorgio et al., 2010</xref>). Importantly, this reaction proved to be reproducible, as an almost identical response was observed during the second pacing maneuver.</p>
<p>Abel et al. also investigated the impact of rapid AP on HRV. However, in contrast to our findings, they reported a decrease in HRV - assessed as &#x394;RRDEV - accompanied by a rise in heart rate, which they interpreted as a sympathetic response (<xref ref-type="bibr" rid="B9">Fuenmayor et al., 1996</xref>). This interpretation was supported by elevated plasma levels of adrenaline and noradrenaline following both atrial and ventricular pacing, indicating sympathetic activation (<xref ref-type="bibr" rid="B11">Hull et al., 1990</xref>; <xref ref-type="bibr" rid="B8">Fuenmayor et al., 1992</xref>).</p>
<p>Several methodological differences may explain the discrepancy between their results and ours. In Abel&#x2019;s cohort of 41 patients, only 16 had no prior diagnosis of heart failure; thus, physiological autonomic responses to pacing could be reliably assessed only in this subgroup, whereas autonomic control is known to be altered in heart failure. Moreover, their HRV assessment was based on 30-s segments before and after rapid pacing, substantially longer than in our protocol, which focused on ultra-short, beat-to-beat responses.</p>
<p>These differences suggest that parasympathetic augmentation induced by rapid AP may be a very short-lasting phenomenon, detectable only within the first seconds after pacing, and potentially masked when longer HRV windows are used. A similar pattern is seen in other maneuvers that enhance vagal tone, such as the Valsalva maneuver, where the parasympathetic surge is likewise brief.</p>
<p>Secondly, the Bland-Altman analysis of both RMSSD and &#x394;PP revealed a consistent post-stimulation increase in vagal tone parameters across the population. However, the wide limits of agreement - particularly in comparisons A vs. B and C vs. D - highlighted marked inter-individual variability in parasympathetic responsiveness. While most patients demonstrated a clear shift toward elevated RMSSD and increased &#x394;PP after rapid AP, others showed marginal or even paradoxical responses, possibly reflecting variability in intrinsic autonomic tone, compensatory capacity, or psychological stress at baseline.</p>
<p>This heterogeneity suggests that while short-term HRV measures can reliably detect a general group-level trend of vagal reactivation post-pacing, individual responses may differ substantially. Interestingly, the second stimulation series (C vs. D) demonstrated slightly narrower dispersion and fewer extreme negative responders, which may point to habituation, reduced sympathetic arousal, or procedural desensitization during the latter part of the protocol. This reinforces the notion that procedural context and patient-specific autonomic dynamics must be considered when interpreting short-term HRV fluctuations.</p>
<p>Moreover, while both &#x394;PP and RMSSD showed measurable changes in response to AP, &#x394;PP more frequently exhibited post-stimulation increases (88% and 98% of patients for A&#x2192;B and C&#x2192;D, respectively) than RMSSD (84% and 90%) (<xref ref-type="table" rid="T2">Table 2</xref>). At first glance, this might suggest that &#x394;PP is more sensitive in detecting immediate beat-to-beat changes. However, this observation warrants careful interpretation.</p>
<p>Because &#x394;PP is calculated from the extremes of a small sample of PP intervals, it is particularly vulnerable to the influence of single aberrant values, which can disproportionately affect its magnitude. This can result in exaggerated shifts in response to isolated sinus acceleration or deceleration, even in the absence of consistent autonomic modulation. By contrast, RMSSD reflects the average magnitude of beat-to-beat differences and is less influenced by extreme values, providing a smoother and physiologically integrated measure of vagal tone.</p>
<p>Furthermore, the Bland-Altman analysis revealed substantially higher inter-subject dispersion for &#x394;PP compared to RMSSD, particularly in the B vs. D comparison (SD 117.6 ms vs. 59.1 ms), suggesting that &#x394;PP may be more susceptible to inter-individual fluctuations and less reproducible.</p>
<p>Nonetheless, the higher frequency of detected changes supports the potential utility of &#x394;PP in intra-procedural settings where rapid identification of physiological responses is critical. Its simplicity, rapid calculation, and visual interpretability make it a practical tool, especially when time and beat sampling are limited. However, its lower statistical stability relative to RMSSD highlights the importance of interpreting &#x394;PP in context and, where possible, corroborating findings using complementary HRV indices.</p>
<p>Third, both RMSSD and &#x394;PP appear to be largely independent of respiratory sinus arrhythmia. This is supported by the high repeatability of measurements obtained in the two baseline periods (A and C) as well as in the two post-stimulation periods (B and D). In the absence of pacing, RMSSD and &#x394;PP showed minimal differences between periods A and C, indicating that respiratory variability did not meaningfully influence these ultra-short measurements.</p>
<p>Rapid AP produced a significant and reproducible increase in both RMSSD and &#x394;PP (periods B and D), confirming that the observed changes reflect pacing-induced autonomic modulation rather than spontaneous respiratory fluctuations. This independence from respiratory variability allows the assessment window for RMSSD and &#x394;PP to be shortened to only four consecutive sinus cycles. Although the magnitude of this response varied between individuals-as reflected by the SD of RMSSD and &#x394;PP - its direction was consistent (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>).</p>
<p>This observation is physiologically plausible: the post-pacing increase in RMSSD and &#x394;PP is compatible with enhanced parasympathetic modulation. One possible explanation is transient hemodynamic change (e.g., cardiac output/arterial pressure) with baroreceptor engagement and increased vagal efferent activity (<xref ref-type="bibr" rid="B12">La Rovere et al., 1995</xref>); however, this mechanistic pathway was not directly measured in the present study.</p>
<p>HRV analyzed in Holter ECG monitoring has long been used as a method for assessing the function of the autonomic nervous system, primarily reflecting its parasympathetic activity (<xref ref-type="bibr" rid="B23">Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology Heart rate variability, 1996</xref>; <xref ref-type="bibr" rid="B5">Cygankiewicz and Zareba, 2013</xref>). The parameter assessed in this study - RMSSD between adjacent PP intervals - is an indica-tor of short-term variability dependent on parasympathetic tone. However, it has not previously been used to assess the short-term parasympathetic response to rapid pacing during EPS, nor calculated based on only 4 heart cycles. To date, the shortest, ultra-short periods in which RMSSD has been assessed were 60 s (<xref ref-type="bibr" rid="B7">Esco and Flatt, 2014</xref>), 30 s (<xref ref-type="bibr" rid="B4">Baek et al., 2015</xref>), and 10 s (<xref ref-type="bibr" rid="B19">Salahuddin et al., 2007</xref>), covering at least one respiratory cycle lasting about 10 s.</p>
<p>Until now, the above-mentioned HRV parameters have been used to assess parasympathetic tone based on long-term ECG recordings. Pachon et al. demonstrated the usefulness of HRV parameter analysis, including RMSSD, in evaluating the persistence of CNA effects. They showed a significant reduction in heart rate variability one and 2 years after CNA compared to Holter ECG recordings performed before CNA (<xref ref-type="bibr" rid="B16">Pachon et al., 2020</xref>).</p>
<p>Using HRV parameters for intraoperative assessment of parasympathetic tone - both under baseline conditions and after provocation with rapid AP - opens up new possibilities for real-time evaluation of changes in parasympathetic tone and for monitoring the effectiveness of pro-cedures that modulate the heart&#x2019;s parasympathetic innervation. This applies both to procedures specifically aimed at parasympathetic neuromodulation - such as CNA - and to those in which parasympathetic neuromodulation is an unintended effect - for example, during pulmonary vein isolation or ablation of atypical atrial flutter.</p>
<p>It should be noted, however, that the analysis of only 4 PP cycles both before and after the rapid AP is particularly susceptible to errors resulting from atrial extrasystoles, artifacts, and ineffective atrial stimulation. In such cases, the measurement should be repeated at least 2 min after the previous stimulation.</p>
<p>This study did not assess the impact of atropine or cardioneuroablation on intraoperative HRV measurements, which is a limitation and requires evaluation in future studies. The disappearance of the described phenomenon of increased RMSSD and &#x394; PP after the administration of atropine or following cardioneuroablation would be conclusive evidence of the increase in parasympathetic tone induced by rapid AP as the cause of this phenomenon.</p>
<p>Future studies need to clarify whether the increase in RMSSD and &#x394;PP in response to rapid AP is not only qualitative but also quantitative and depends on the strength of the stimulus provided by rapid AP-dose-response relationship. Does it also correlate with both the frequency and duration of rapid AP.</p>
<p>Additionally, the impact of sedative and general anesthetic medications on the phenomenon described in this study should be evaluated in future research. Sedative and general anesthetic agents influence both the tone of the autonomic nervous system and can modulate its sensitivity to stimuli, including rapid AF. Ahmed et al. described an increase in the threshold for vagus nerve stimulation in response to general anesthetics in an animal model. This is particularly relevant in the context of using intraoperative HRV measurements as a tool to assess parasympathetic tone under different conditions: local anesthesia, analgosedation, or general anesthesia (<xref ref-type="bibr" rid="B1">Ahmed et al., 2021</xref>).</p>
<p>Even though classical autonomic tests based on reflex assessment - such as the Valsalva ma-neuver or deep breathing test - are considered the gold standard outside the operating room, their intraoperatively usage is limited, as they require strictly controlled environmental condi-tions and appropriate patient preparation. The operating room environment deviates significantly from these ideal conditions, and the reliability of results obtained intraoperatively has not yet been systematically evaluated.</p>
<p>Moreover, since ECVS is currently the standard for intraoperative control, performing auto-nomic tests to directly validate them against ECVS would be reasonable only after the full effect of anesthetic drugs has worn off - in practice, after the procedure is completed. Intraoperative HRV assessment does not have these limitations. It does not require patient cooperation. Repeated measurements of RMSSD and &#x394;PP under the same conditions could, in the future, allow for the evaluation of parasympathetic tone changes not only qualitatively, as with ECVS, but also quantitatively. However, before this happens, intraoperative HRV measurement should be validated under different anesthesia conditions and in conditions of parasympathetic neuromodulation using atropine challenge or after cardioneuroablation.</p>
<p>Accordingly, at this stage the post-pacing RMSSD/&#x394;PP change should be regarded as a physiological observation and a research signal rather than a standalone clinical endpoint.</p>
</sec>
<sec id="s6">
<title>Limitations</title>
<p>
<list list-type="bullet">
<list-item>
<p>Short-term HRV analysis in this study was based on only 4 consecutive sinus cycles per measurement point, limiting the statistical reliability of RMSSD and &#x394;PP estimations. While such a brief measurement window may reflect immediate responses to pacing, it may also amplify physiological noise and reduce precision. Notably, the study did not standardize or monitor respiratory activity (e.g., rate, depth, or waveform), which may have affected the magnitude of respiratory sinus arrhythmia -related variability.</p>
</list-item>
<list-item>
<p>Nevertheless, the observed consistency between resting timepoints (A vs. C) and the systematic increase in RMSSD after both stimulations (A&#x2192;B and C&#x2192;D), combined with low baseline bias and variability, argue against substantial confounding by spontaneous autonomic fluctuations. The data suggest that the pacing-induced changes were genuine and primarily attributable to the intervention.</p>
</list-item>
<list-item>
<p>Although the intraclass correlation coefficient (ICC) and Lin&#x2019;s concordance correlation coefficient (CCC) were also computed for A vs. C and B vs. D, both yielded low values (A vs. C: ICC &#x3d; 0.39; CCC &#x3d; 0.38, B vs. D: ICC &#x3d; 0.24; CCC &#x3d; 0.22), suggesting weak absolute agreement. These coefficients are known to be highly sensitive to low inter-subject variance and small sample sizes. Given that RMSSD and &#x394;PP were calculated from only 4 sinus cycles per period, ICC and CCC were not considered reliable in this specific context. Bland-Altman analysis and Spearman correlation, due to their robustness to such constraints, were therefore prioritized for interpretation.</p>
</list-item>
<list-item>
<p>&#x394;PP was calculated as the difference between the longest and shortest sinus cycle within a 4-beat window, making it inherently sensitive to single outlier values. This approach can exaggerate or obscure physiological trends, particularly in small samples. Moreover, its statistical reproducibility was limited, as evidenced by the high standard deviations observed in Bland-Altman analysis. Importantly, &#x394;PP as defined in this study has not been formally validated as a standard metric of short-term HRV, and no established normative values or thresholds exist for clinical interpretation. Nevertheless, &#x394;PP retains practical utility due to its ease of manual calculation and intuitive interpretation. In settings where only brief rhythm segments are available - such as during electrophysiologic procedures - it may offer a rapid, if coarse, insight into momentary shifts in autonomic tone. This data supports the use this technique to validate only sinus node denervation.</p>
</list-item>
<list-item>
<p>The analyses were based on short beat sequences, which increases susceptibility to measurement noise and annotation errors (e.g., imperfect PP delineation, or signal artifacts, measurement errors). Accordingly, a small number of observations were flagged as outliers on Bland-Altman plots and appeared as discordant trajectories on second-order difference plots (SODP). These outliers may reflect technical artifacts or true inter-individual variability, including paradoxical responses to rapid AP. Because SODP is descriptive and Bland-Altman is primarily intended to assess agreement rather than causality, these tools were used to highlight potentially problematic segments and to support cautious interpretation; the primary conclusions were based on the main between-period comparisons.</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="conclusions" id="s7">
<title>Conclusions</title>
<p>
<list list-type="bullet">
<list-item>
<p>Rapid atrial pacing induces a response in the form of an increase in RMSSD and &#x394;PP, which most likely results from increased parasympathetic tone.</p>
</list-item>
<list-item>
<p>The parasympathetic response to rapid atrial pacing can be measured intraoperatively by analyzing changes in HRV parameters: RMSSD and &#x394;PP.</p>
</list-item>
<list-item>
<p>The parasympathetic response to rapid atrial pacing is repeatable and can be measured multiple times during the same procedure.</p>
</list-item>
<list-item>
<p>Assessing the influence of the parasympathetic nervous system on heart rhythm in response to rapid atrial pacing, measured using RMSSD and &#x394;PP, could in the future be used to verify the parasympathetic impact after various electrophysiological procedures, such as pulmonary vein isolation or CNA. However, this method only describes its effect on the sinus node and does not provide any information about parasympathetic influence on the atrioventricular node and requires validation in further studies.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s8">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s9">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Bioethics Committee of the Wroclaw Medical University (KB 622/2024). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s10">
<title>Author contributions</title>
<p>PS: Methodology, Supervision, Formal Analysis, Data curation, Writing &#x2013; review and editing, Writing &#x2013; original draft, Conceptualization, Project administration, Visualization, Investigation, Resources, Validation. BH: Conceptualization, Writing &#x2013; review and editing, Supervision, Methodology, Investigation, Formal Analysis, Project administration, Writing &#x2013; original draft, Resources, Visualization, Data curation, Validation. BS: Writing &#x2013; review and editing, Validation, Writing &#x2013; original draft, Conceptualization, Investigation, Supervision. KJ: Conceptualization, Validation, Writing &#x2013; review and editing, Investigation, Supervision, Writing &#x2013; original draft. BB: Writing &#x2013; original draft, Investigation, Writing &#x2013; review and editing, Validation, Supervision. AW: Supervision, Writing &#x2013; review and editing, Writing &#x2013; original draft, Validation. KC: Validation, Supervision, Writing &#x2013; review and editing, Writing &#x2013; original draft. SS: Investigation, Conceptualization, Validation, Writing &#x2013; review and editing, Supervision, Methodology, Resources, Writing &#x2013; original draft. WB: Writing &#x2013; review and editing, Writing &#x2013; original draft, Supervision. DZ: Resources, Conceptualization, Data curation, Investigation, Supervision, Validation, Writing &#x2013; review and editing, Writing &#x2013; original draft, Methodology. DJ: Writing &#x2013; review and editing, Writing &#x2013; original draft, Supervision.</p>
</sec>
<sec sec-type="COI-statement" id="s12">
<title>Conflict of interest</title>
<p>Author AW was employed by Panaceum-Med. Author KC was employed by American Heart of Poland. Author SS was emlye by ELMedica, EP-Network.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s13">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. Chat-GPT for language purposes. We take full responsibility.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s14">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<pub-id pub-id-type="pmid">39422462</pub-id>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/402620/overview">Giuseppe D&#x2019;Antona</ext-link>, University of Pavia, Italy</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1019340/overview">Max Haberbusch</ext-link>, Medical University of Vienna, Austria</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2589107/overview">Jean-Marie Gr&#xe9;goire</ext-link>, IRIDIA, Universit&#xe9; libre de Bruxelles, Belgium</p>
</fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>AP, atrial pacing; AVB, atrioventricular block; AVN, atrioventricular node; CCC, Lin&#x2019;s concordance correlation coefficient; CNA, cardioneuroablation; &#x394;PP, difference between the longest and shortest PP intervals; ECVS, extracardiac vagal stimulation; EPS, electrophysiological study; HR, heart rate; HRV, heart rate variability; ICC, intraclass correlation coefficient; IQR, interquartile range; PM, pacemaker; PP, sinus-to-sinus interval (P-wave to P-wave); RMSSD, root mean square of successive differences; SD, standard deviation; SND, sinus node dysfunction; SNRT, sinus node recovery time; SR, sinus rhythm; SR CL, sinus rhythm cycle length; VVS, vasovagal syncope; WP, Wenckebach point.</p>
</fn>
</fn-group>
</back>
</article>