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...
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Veröffentlicht in: | Journal of cardiovascular electrophysiology 2019-06, Vol.30 (6), p.836-843 |
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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 |
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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 < 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.</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 < 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.</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 & Calcified Tissue Abstracts</collection><collection>ProQuest Health & 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 < 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.</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> |
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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 |
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