Premature ventricular contraction diurnal profiles predict distinct clinical characteristics and beta‐blocker responses

Introduction Frequent premature ventricular complexes (PVCs) can lead to symptoms, such as cardiomyopathy and increased mortality. Beta‐blockers are recommended as first‐line therapy to reduce PVC burden; however, the response is unpredictable. The objective of this study is to determine whether PVC...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of cardiovascular electrophysiology 2019-06, Vol.30 (6), p.836-843
Hauptverfasser: Hamon, David, Swid, Mohammed Amer, Rajendran, Pradeep S., Liu, Albert, Boyle, Noel G., Shivkumar, Kalyanam, Bradfield, Jason S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 843
container_issue 6
container_start_page 836
container_title Journal of cardiovascular electrophysiology
container_volume 30
creator Hamon, David
Swid, Mohammed Amer
Rajendran, Pradeep S.
Liu, Albert
Boyle, Noel G.
Shivkumar, Kalyanam
Bradfield, Jason S.
description Introduction Frequent premature ventricular complexes (PVCs) can lead to symptoms, such as cardiomyopathy and increased mortality. Beta‐blockers are recommended as first‐line therapy to reduce PVC burden; however, the response is unpredictable. The objective of this study is to determine whether PVC diurnal‐variability patterns are associated with different clinical profiles and predict drug response. Methods Consecutive patients with frequent PVCs (burden ≥ 1%), referred for Holter monitoring between 2014 and 2016, were included. Follow‐up Holters, when available, were assessed after beta‐blocker initiation to assess response (≥50% reduction). Patients were divided into three groups on the basis of relationship between hourly PVC count and mean HR during each of the 24 Holter hours: (1) fast‐HR‐dependent‐PVC (F‐HR‐PVC) for positive correlation (Pearson, P < 0.05), (2) slow‐HR‐dependent‐PVC (S‐HR‐PVC) for a negative, and (3) independent‐HR‐PVC (I‐HR‐PVC) when no correlation was found. Results Of the 416 patients included, 50.2% had F‐HR‐PVC, 35.6% I‐HR‐PVC, and 14.2% S‐HR‐PVC with distinct clinical profiles. Beta‐blocker therapy was successful in 34.0% patients overall: patients with F‐HR‐PVC had a decrease in PVC burden (18.8 ± 10.4% to 9.3 ± 6.6%, P < 0.0001; 62% success), I‐HR‐PVC had no change (18.4 ± 17.9% to 20.6 ± 17.9%, P = 0.175; 0% success), whereas S‐HR‐PVC had an increase in burden (14.6 ± 15.3% to 20.8 ± 13.8%, P = 0.016; 0% success). The correlation coefficient was the only predictor of beta‐blocker success (AUC = 0.84, sensitivity = 100%, specificity = 67.7%; r ≥ 0.4). Conclusions A simple analysis of Holter PVC diurnal variability may provide incremental value to guide clinical PVC management. Only patients displaying a F‐HR‐PVC profile benefited from beta‐blockers. An alternative strategy should be considered for others, as beta‐blockers may have no effect or can even be harmful.
doi_str_mv 10.1111/jce.13944
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2206225277</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2245329080</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3534-8ec32339cba1799ac6957ea24218917f4705d0e099e324896806acd393e425273</originalsourceid><addsrcrecordid>eNp1kb1OwzAUhS0EoqUw8AIoEgsMaf2bxCOqyp8qwQBz5N7cCpc0KXYC6sYj8Iw8CU4LDEh48ZHO56N7fQg5ZnTIwhktAIdMaCl3SJ8pSeOMJelu0FSqWGSp6JED7xeUMpFQtU96gupEqpT2yfre4dI0rcPoFavGWWhL4yKogzbQ2LqKCtu6ypTRytVzW6IPAgsLTTB8Y6sgoLSVhYDAk-leoesc8JGpimiGjfl8_5iVNTyjixz6VV159Idkb25Kj0ff94A8Xk4extfx9O7qZnwxjUEoIeMMQXAhNMwMS7U2kGiVouGSs0yzdC5TqgqKVGsUXGY6yWhioBBaoOSKp2JAzra5Yf6XFn2TL60HLEtTYd36nHOa8I7s0NM_6KLe7N5RUgmuaUYDdb6lwNXeO5znK2eXxq1zRvOujzz0kW_6COzJd2I7W2LxS_4UEIDRFngLX7v-Pym_HU-2kV8c5JZR</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2245329080</pqid></control><display><type>article</type><title>Premature ventricular contraction diurnal profiles predict distinct clinical characteristics and beta‐blocker responses</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Hamon, David ; Swid, Mohammed Amer ; Rajendran, Pradeep S. ; Liu, Albert ; Boyle, Noel G. ; Shivkumar, Kalyanam ; Bradfield, Jason S.</creator><creatorcontrib>Hamon, David ; Swid, Mohammed Amer ; Rajendran, Pradeep S. ; Liu, Albert ; Boyle, Noel G. ; Shivkumar, Kalyanam ; Bradfield, Jason S.</creatorcontrib><description>Introduction Frequent premature ventricular complexes (PVCs) can lead to symptoms, such as cardiomyopathy and increased mortality. Beta‐blockers are recommended as first‐line therapy to reduce PVC burden; however, the response is unpredictable. The objective of this study is to determine whether PVC diurnal‐variability patterns are associated with different clinical profiles and predict drug response. Methods Consecutive patients with frequent PVCs (burden ≥ 1%), referred for Holter monitoring between 2014 and 2016, were included. Follow‐up Holters, when available, were assessed after beta‐blocker initiation to assess response (≥50% reduction). Patients were divided into three groups on the basis of relationship between hourly PVC count and mean HR during each of the 24 Holter hours: (1) fast‐HR‐dependent‐PVC (F‐HR‐PVC) for positive correlation (Pearson, P &lt; 0.05), (2) slow‐HR‐dependent‐PVC (S‐HR‐PVC) for a negative, and (3) independent‐HR‐PVC (I‐HR‐PVC) when no correlation was found. Results Of the 416 patients included, 50.2% had F‐HR‐PVC, 35.6% I‐HR‐PVC, and 14.2% S‐HR‐PVC with distinct clinical profiles. Beta‐blocker therapy was successful in 34.0% patients overall: patients with F‐HR‐PVC had a decrease in PVC burden (18.8 ± 10.4% to 9.3 ± 6.6%, P &lt; 0.0001; 62% success), I‐HR‐PVC had no change (18.4 ± 17.9% to 20.6 ± 17.9%, P = 0.175; 0% success), whereas S‐HR‐PVC had an increase in burden (14.6 ± 15.3% to 20.8 ± 13.8%, P = 0.016; 0% success). The correlation coefficient was the only predictor of beta‐blocker success (AUC = 0.84, sensitivity = 100%, specificity = 67.7%; r ≥ 0.4). Conclusions A simple analysis of Holter PVC diurnal variability may provide incremental value to guide clinical PVC management. Only patients displaying a F‐HR‐PVC profile benefited from beta‐blockers. An alternative strategy should be considered for others, as beta‐blockers may have no effect or can even be harmful.</description><identifier>ISSN: 1045-3873</identifier><identifier>EISSN: 1540-8167</identifier><identifier>DOI: 10.1111/jce.13944</identifier><identifier>PMID: 30964570</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>autonomic nervous system ; beta blocker ; Beta blockers ; Cardiomyopathy ; Contraction ; Correlation coefficient ; Correlation coefficients ; Diurnal ; Holter monitoring ; premature ventricular complexes (PVCs) ; Success ; Variability ; Ventricle</subject><ispartof>Journal of cardiovascular electrophysiology, 2019-06, Vol.30 (6), p.836-843</ispartof><rights>2019 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3534-8ec32339cba1799ac6957ea24218917f4705d0e099e324896806acd393e425273</citedby><cites>FETCH-LOGICAL-c3534-8ec32339cba1799ac6957ea24218917f4705d0e099e324896806acd393e425273</cites><orcidid>0000-0002-2541-5726</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjce.13944$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjce.13944$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30964570$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hamon, David</creatorcontrib><creatorcontrib>Swid, Mohammed Amer</creatorcontrib><creatorcontrib>Rajendran, Pradeep S.</creatorcontrib><creatorcontrib>Liu, Albert</creatorcontrib><creatorcontrib>Boyle, Noel G.</creatorcontrib><creatorcontrib>Shivkumar, Kalyanam</creatorcontrib><creatorcontrib>Bradfield, Jason S.</creatorcontrib><title>Premature ventricular contraction diurnal profiles predict distinct clinical characteristics and beta‐blocker responses</title><title>Journal of cardiovascular electrophysiology</title><addtitle>J Cardiovasc Electrophysiol</addtitle><description>Introduction Frequent premature ventricular complexes (PVCs) can lead to symptoms, such as cardiomyopathy and increased mortality. Beta‐blockers are recommended as first‐line therapy to reduce PVC burden; however, the response is unpredictable. The objective of this study is to determine whether PVC diurnal‐variability patterns are associated with different clinical profiles and predict drug response. Methods Consecutive patients with frequent PVCs (burden ≥ 1%), referred for Holter monitoring between 2014 and 2016, were included. Follow‐up Holters, when available, were assessed after beta‐blocker initiation to assess response (≥50% reduction). Patients were divided into three groups on the basis of relationship between hourly PVC count and mean HR during each of the 24 Holter hours: (1) fast‐HR‐dependent‐PVC (F‐HR‐PVC) for positive correlation (Pearson, P &lt; 0.05), (2) slow‐HR‐dependent‐PVC (S‐HR‐PVC) for a negative, and (3) independent‐HR‐PVC (I‐HR‐PVC) when no correlation was found. Results Of the 416 patients included, 50.2% had F‐HR‐PVC, 35.6% I‐HR‐PVC, and 14.2% S‐HR‐PVC with distinct clinical profiles. Beta‐blocker therapy was successful in 34.0% patients overall: patients with F‐HR‐PVC had a decrease in PVC burden (18.8 ± 10.4% to 9.3 ± 6.6%, P &lt; 0.0001; 62% success), I‐HR‐PVC had no change (18.4 ± 17.9% to 20.6 ± 17.9%, P = 0.175; 0% success), whereas S‐HR‐PVC had an increase in burden (14.6 ± 15.3% to 20.8 ± 13.8%, P = 0.016; 0% success). The correlation coefficient was the only predictor of beta‐blocker success (AUC = 0.84, sensitivity = 100%, specificity = 67.7%; r ≥ 0.4). Conclusions A simple analysis of Holter PVC diurnal variability may provide incremental value to guide clinical PVC management. Only patients displaying a F‐HR‐PVC profile benefited from beta‐blockers. An alternative strategy should be considered for others, as beta‐blockers may have no effect or can even be harmful.</description><subject>autonomic nervous system</subject><subject>beta blocker</subject><subject>Beta blockers</subject><subject>Cardiomyopathy</subject><subject>Contraction</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Diurnal</subject><subject>Holter monitoring</subject><subject>premature ventricular complexes (PVCs)</subject><subject>Success</subject><subject>Variability</subject><subject>Ventricle</subject><issn>1045-3873</issn><issn>1540-8167</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kb1OwzAUhS0EoqUw8AIoEgsMaf2bxCOqyp8qwQBz5N7cCpc0KXYC6sYj8Iw8CU4LDEh48ZHO56N7fQg5ZnTIwhktAIdMaCl3SJ8pSeOMJelu0FSqWGSp6JED7xeUMpFQtU96gupEqpT2yfre4dI0rcPoFavGWWhL4yKogzbQ2LqKCtu6ypTRytVzW6IPAgsLTTB8Y6sgoLSVhYDAk-leoesc8JGpimiGjfl8_5iVNTyjixz6VV159Idkb25Kj0ff94A8Xk4extfx9O7qZnwxjUEoIeMMQXAhNMwMS7U2kGiVouGSs0yzdC5TqgqKVGsUXGY6yWhioBBaoOSKp2JAzra5Yf6XFn2TL60HLEtTYd36nHOa8I7s0NM_6KLe7N5RUgmuaUYDdb6lwNXeO5znK2eXxq1zRvOujzz0kW_6COzJd2I7W2LxS_4UEIDRFngLX7v-Pym_HU-2kV8c5JZR</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Hamon, David</creator><creator>Swid, Mohammed Amer</creator><creator>Rajendran, Pradeep S.</creator><creator>Liu, Albert</creator><creator>Boyle, Noel G.</creator><creator>Shivkumar, Kalyanam</creator><creator>Bradfield, Jason S.</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2541-5726</orcidid></search><sort><creationdate>201906</creationdate><title>Premature ventricular contraction diurnal profiles predict distinct clinical characteristics and beta‐blocker responses</title><author>Hamon, David ; Swid, Mohammed Amer ; Rajendran, Pradeep S. ; Liu, Albert ; Boyle, Noel G. ; Shivkumar, Kalyanam ; Bradfield, Jason S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3534-8ec32339cba1799ac6957ea24218917f4705d0e099e324896806acd393e425273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>autonomic nervous system</topic><topic>beta blocker</topic><topic>Beta blockers</topic><topic>Cardiomyopathy</topic><topic>Contraction</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Diurnal</topic><topic>Holter monitoring</topic><topic>premature ventricular complexes (PVCs)</topic><topic>Success</topic><topic>Variability</topic><topic>Ventricle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hamon, David</creatorcontrib><creatorcontrib>Swid, Mohammed Amer</creatorcontrib><creatorcontrib>Rajendran, Pradeep S.</creatorcontrib><creatorcontrib>Liu, Albert</creatorcontrib><creatorcontrib>Boyle, Noel G.</creatorcontrib><creatorcontrib>Shivkumar, Kalyanam</creatorcontrib><creatorcontrib>Bradfield, Jason S.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cardiovascular electrophysiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hamon, David</au><au>Swid, Mohammed Amer</au><au>Rajendran, Pradeep S.</au><au>Liu, Albert</au><au>Boyle, Noel G.</au><au>Shivkumar, Kalyanam</au><au>Bradfield, Jason S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Premature ventricular contraction diurnal profiles predict distinct clinical characteristics and beta‐blocker responses</atitle><jtitle>Journal of cardiovascular electrophysiology</jtitle><addtitle>J Cardiovasc Electrophysiol</addtitle><date>2019-06</date><risdate>2019</risdate><volume>30</volume><issue>6</issue><spage>836</spage><epage>843</epage><pages>836-843</pages><issn>1045-3873</issn><eissn>1540-8167</eissn><abstract>Introduction Frequent premature ventricular complexes (PVCs) can lead to symptoms, such as cardiomyopathy and increased mortality. Beta‐blockers are recommended as first‐line therapy to reduce PVC burden; however, the response is unpredictable. The objective of this study is to determine whether PVC diurnal‐variability patterns are associated with different clinical profiles and predict drug response. Methods Consecutive patients with frequent PVCs (burden ≥ 1%), referred for Holter monitoring between 2014 and 2016, were included. Follow‐up Holters, when available, were assessed after beta‐blocker initiation to assess response (≥50% reduction). Patients were divided into three groups on the basis of relationship between hourly PVC count and mean HR during each of the 24 Holter hours: (1) fast‐HR‐dependent‐PVC (F‐HR‐PVC) for positive correlation (Pearson, P &lt; 0.05), (2) slow‐HR‐dependent‐PVC (S‐HR‐PVC) for a negative, and (3) independent‐HR‐PVC (I‐HR‐PVC) when no correlation was found. Results Of the 416 patients included, 50.2% had F‐HR‐PVC, 35.6% I‐HR‐PVC, and 14.2% S‐HR‐PVC with distinct clinical profiles. Beta‐blocker therapy was successful in 34.0% patients overall: patients with F‐HR‐PVC had a decrease in PVC burden (18.8 ± 10.4% to 9.3 ± 6.6%, P &lt; 0.0001; 62% success), I‐HR‐PVC had no change (18.4 ± 17.9% to 20.6 ± 17.9%, P = 0.175; 0% success), whereas S‐HR‐PVC had an increase in burden (14.6 ± 15.3% to 20.8 ± 13.8%, P = 0.016; 0% success). The correlation coefficient was the only predictor of beta‐blocker success (AUC = 0.84, sensitivity = 100%, specificity = 67.7%; r ≥ 0.4). Conclusions A simple analysis of Holter PVC diurnal variability may provide incremental value to guide clinical PVC management. Only patients displaying a F‐HR‐PVC profile benefited from beta‐blockers. An alternative strategy should be considered for others, as beta‐blockers may have no effect or can even be harmful.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30964570</pmid><doi>10.1111/jce.13944</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2541-5726</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1045-3873
ispartof Journal of cardiovascular electrophysiology, 2019-06, Vol.30 (6), p.836-843
issn 1045-3873
1540-8167
language eng
recordid cdi_proquest_miscellaneous_2206225277
source Wiley Online Library Journals Frontfile Complete
subjects autonomic nervous system
beta blocker
Beta blockers
Cardiomyopathy
Contraction
Correlation coefficient
Correlation coefficients
Diurnal
Holter monitoring
premature ventricular complexes (PVCs)
Success
Variability
Ventricle
title Premature ventricular contraction diurnal profiles predict distinct clinical characteristics and beta‐blocker responses
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T08%3A37%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Premature%20ventricular%20contraction%20diurnal%20profiles%20predict%20distinct%20clinical%20characteristics%20and%20beta%E2%80%90blocker%20responses&rft.jtitle=Journal%20of%20cardiovascular%20electrophysiology&rft.au=Hamon,%20David&rft.date=2019-06&rft.volume=30&rft.issue=6&rft.spage=836&rft.epage=843&rft.pages=836-843&rft.issn=1045-3873&rft.eissn=1540-8167&rft_id=info:doi/10.1111/jce.13944&rft_dat=%3Cproquest_cross%3E2245329080%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2245329080&rft_id=info:pmid/30964570&rfr_iscdi=true