Visual or computer-based measurements: important for interpretation of athletes’ ECG

Background ECG is recommended for preparticipation health examination in athletes. Owing to a lack of consensus on how to read and interpret athletes’ ECGs, different criteria for abnormality are used. Aims To compare the prevalence of abnormal ECGs and test the correlation between visual and comput...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:British journal of sports medicine 2014-05, Vol.48 (9), p.761-767
Hauptverfasser: Berge, H M, Steine, K, Andersen, T E, Solberg, E E, Gjesdal, K
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 767
container_issue 9
container_start_page 761
container_title British journal of sports medicine
container_volume 48
creator Berge, H M
Steine, K
Andersen, T E
Solberg, E E
Gjesdal, K
description Background ECG is recommended for preparticipation health examination in athletes. Owing to a lack of consensus on how to read and interpret athletes’ ECGs, different criteria for abnormality are used. Aims To compare the prevalence of abnormal ECGs and test the correlation between visual and computer-based measurements. Methods In a preparticipation cardiac screening examination of 595 male professional soccer players aged 18–38 years, ECGs were categorised according to the European Society of Cardiology's (ESC) recommendations and the Seattle criteria, respectively. Visual measurements were conducted with callipers on-screen on the averaged PQRST complex in each lead, calculated by the trimmed mean. Computer-based measurements were derived from the medium beat. Heart rhythm and conduction were scored visually by a cardiologist. Categorical variables were compared by κ statistics (K) and continuous variables by intraclass correlation. Results ECGs of good quality were available from 579 players. According to the ESC's recommendations and Seattle criteria, respectively, ECGs were categorised as abnormal in 171 (29.5%) vs 64 (11.1%) players after visual assessment, and in 293 (50.6%; K=0.395) vs 127 (21.9%; K=0.564) after computer-based measurements. Intraclass correlation was very good for measurements of R and S wave amplitudes and moderate to very good for intervals. K was very good for pathological Q wave amplitudes and moderate for T wave inversions. Conclusions Abnormal ECGs were more than twice as common after computer-based than after visual measurements. Such a difference will markedly influence the number of athletes who need further examinations. Reference values may need adjustments dependent on measurement methods.
doi_str_mv 10.1136/bjsports-2014-093412
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1524399832</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3281026681</sourcerecordid><originalsourceid>FETCH-LOGICAL-b436t-a57747c6a652d8b466e08db14eedab10f7a5ef24e2a41010f3f907f021554a163</originalsourceid><addsrcrecordid>eNqN0cFu1DAQBmCromqXwhsgFIkLl9AZe2wn3NCqtJUq9QK9Ws5mIrJK4mA7B268Bq_Hk5DVthw4oJ6skb75R9YvxBuED4jKXDb7NIeYUykBqYRaEcoTsUGyqgSq4IXYgAJTKmPpXLxMaQ-AUkN1Js4laaNUDRvx8NCnxQ9FiMUujPOSOZaNT9wWI_u0RB55yulj0Y-HY37KRbfSflrdHDn73IepCF3h87eBM6ffP38VV9vrV-K080Pi14_vhfj6-erL9qa8u7--3X66KxtSJpdeW0t2Z7zRsq0aMoahahsk5tY3CJ31mjtJLD0hrLPqarAdSNSaPBp1Id4fc-cYvi-cshv7tONh8BOHJTnUklRdV0o-g6I2pEjTSt_9Q_dhidP6EYfW1sooquR_lUZbm6oivSo6ql0MKUXu3Bz70ccfDsEdinRPRbpDke5Y5Lr29jF8aUZu_y49NbeCyyNoxv3zIv8A4o2p8A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1779363482</pqid></control><display><type>article</type><title>Visual or computer-based measurements: important for interpretation of athletes’ ECG</title><source>MEDLINE</source><source>BMJ Journals - NESLi2</source><creator>Berge, H M ; Steine, K ; Andersen, T E ; Solberg, E E ; Gjesdal, K</creator><creatorcontrib>Berge, H M ; Steine, K ; Andersen, T E ; Solberg, E E ; Gjesdal, K</creatorcontrib><description>Background ECG is recommended for preparticipation health examination in athletes. Owing to a lack of consensus on how to read and interpret athletes’ ECGs, different criteria for abnormality are used. Aims To compare the prevalence of abnormal ECGs and test the correlation between visual and computer-based measurements. Methods In a preparticipation cardiac screening examination of 595 male professional soccer players aged 18–38 years, ECGs were categorised according to the European Society of Cardiology's (ESC) recommendations and the Seattle criteria, respectively. Visual measurements were conducted with callipers on-screen on the averaged PQRST complex in each lead, calculated by the trimmed mean. Computer-based measurements were derived from the medium beat. Heart rhythm and conduction were scored visually by a cardiologist. Categorical variables were compared by κ statistics (K) and continuous variables by intraclass correlation. Results ECGs of good quality were available from 579 players. According to the ESC's recommendations and Seattle criteria, respectively, ECGs were categorised as abnormal in 171 (29.5%) vs 64 (11.1%) players after visual assessment, and in 293 (50.6%; K=0.395) vs 127 (21.9%; K=0.564) after computer-based measurements. Intraclass correlation was very good for measurements of R and S wave amplitudes and moderate to very good for intervals. K was very good for pathological Q wave amplitudes and moderate for T wave inversions. Conclusions Abnormal ECGs were more than twice as common after computer-based than after visual measurements. Such a difference will markedly influence the number of athletes who need further examinations. Reference values may need adjustments dependent on measurement methods.</description><identifier>ISSN: 0306-3674</identifier><identifier>EISSN: 1473-0480</identifier><identifier>DOI: 10.1136/bjsports-2014-093412</identifier><identifier>PMID: 24563390</identifier><language>eng</language><publisher>England: BMJ Publishing Group</publisher><subject>Adolescent ; Adult ; Athletes ; Blood pressure ; Cardiac arrhythmia ; Cardiology ; Diagnosis, Computer-Assisted - standards ; Early Diagnosis ; Electrocardiography ; Electrocardiography - standards ; Ethnicity ; Heart Diseases - diagnosis ; Humans ; Male ; Measurement ; Measurement techniques ; Observer Variation ; Olympic games ; Professional soccer ; Reference Values ; Soccer ; Software ; Sports medicine ; Studies ; Young Adult</subject><ispartof>British journal of sports medicine, 2014-05, Vol.48 (9), p.761-767</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright BMJ Publishing Group May 2014</rights><rights>Copyright: 2014 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b436t-a57747c6a652d8b466e08db14eedab10f7a5ef24e2a41010f3f907f021554a163</citedby><cites>FETCH-LOGICAL-b436t-a57747c6a652d8b466e08db14eedab10f7a5ef24e2a41010f3f907f021554a163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bjsm.bmj.com/content/48/9/761.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://bjsm.bmj.com/content/48/9/761.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,780,784,3196,23571,27924,27925,77600,77631</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24563390$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Berge, H M</creatorcontrib><creatorcontrib>Steine, K</creatorcontrib><creatorcontrib>Andersen, T E</creatorcontrib><creatorcontrib>Solberg, E E</creatorcontrib><creatorcontrib>Gjesdal, K</creatorcontrib><title>Visual or computer-based measurements: important for interpretation of athletes’ ECG</title><title>British journal of sports medicine</title><addtitle>Br J Sports Med</addtitle><description>Background ECG is recommended for preparticipation health examination in athletes. Owing to a lack of consensus on how to read and interpret athletes’ ECGs, different criteria for abnormality are used. Aims To compare the prevalence of abnormal ECGs and test the correlation between visual and computer-based measurements. Methods In a preparticipation cardiac screening examination of 595 male professional soccer players aged 18–38 years, ECGs were categorised according to the European Society of Cardiology's (ESC) recommendations and the Seattle criteria, respectively. Visual measurements were conducted with callipers on-screen on the averaged PQRST complex in each lead, calculated by the trimmed mean. Computer-based measurements were derived from the medium beat. Heart rhythm and conduction were scored visually by a cardiologist. Categorical variables were compared by κ statistics (K) and continuous variables by intraclass correlation. Results ECGs of good quality were available from 579 players. According to the ESC's recommendations and Seattle criteria, respectively, ECGs were categorised as abnormal in 171 (29.5%) vs 64 (11.1%) players after visual assessment, and in 293 (50.6%; K=0.395) vs 127 (21.9%; K=0.564) after computer-based measurements. Intraclass correlation was very good for measurements of R and S wave amplitudes and moderate to very good for intervals. K was very good for pathological Q wave amplitudes and moderate for T wave inversions. Conclusions Abnormal ECGs were more than twice as common after computer-based than after visual measurements. Such a difference will markedly influence the number of athletes who need further examinations. Reference values may need adjustments dependent on measurement methods.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Athletes</subject><subject>Blood pressure</subject><subject>Cardiac arrhythmia</subject><subject>Cardiology</subject><subject>Diagnosis, Computer-Assisted - standards</subject><subject>Early Diagnosis</subject><subject>Electrocardiography</subject><subject>Electrocardiography - standards</subject><subject>Ethnicity</subject><subject>Heart Diseases - diagnosis</subject><subject>Humans</subject><subject>Male</subject><subject>Measurement</subject><subject>Measurement techniques</subject><subject>Observer Variation</subject><subject>Olympic games</subject><subject>Professional soccer</subject><subject>Reference Values</subject><subject>Soccer</subject><subject>Software</subject><subject>Sports medicine</subject><subject>Studies</subject><subject>Young Adult</subject><issn>0306-3674</issn><issn>1473-0480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqN0cFu1DAQBmCromqXwhsgFIkLl9AZe2wn3NCqtJUq9QK9Ws5mIrJK4mA7B268Bq_Hk5DVthw4oJ6skb75R9YvxBuED4jKXDb7NIeYUykBqYRaEcoTsUGyqgSq4IXYgAJTKmPpXLxMaQ-AUkN1Js4laaNUDRvx8NCnxQ9FiMUujPOSOZaNT9wWI_u0RB55yulj0Y-HY37KRbfSflrdHDn73IepCF3h87eBM6ffP38VV9vrV-K080Pi14_vhfj6-erL9qa8u7--3X66KxtSJpdeW0t2Z7zRsq0aMoahahsk5tY3CJ31mjtJLD0hrLPqarAdSNSaPBp1Id4fc-cYvi-cshv7tONh8BOHJTnUklRdV0o-g6I2pEjTSt_9Q_dhidP6EYfW1sooquR_lUZbm6oivSo6ql0MKUXu3Bz70ccfDsEdinRPRbpDke5Y5Lr29jF8aUZu_y49NbeCyyNoxv3zIv8A4o2p8A</recordid><startdate>20140501</startdate><enddate>20140501</enddate><creator>Berge, H M</creator><creator>Steine, K</creator><creator>Andersen, T E</creator><creator>Solberg, E E</creator><creator>Gjesdal, K</creator><general>BMJ Publishing Group</general><general>BMJ Publishing Group LTD</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20140501</creationdate><title>Visual or computer-based measurements: important for interpretation of athletes’ ECG</title><author>Berge, H M ; Steine, K ; Andersen, T E ; Solberg, E E ; Gjesdal, K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b436t-a57747c6a652d8b466e08db14eedab10f7a5ef24e2a41010f3f907f021554a163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Athletes</topic><topic>Blood pressure</topic><topic>Cardiac arrhythmia</topic><topic>Cardiology</topic><topic>Diagnosis, Computer-Assisted - standards</topic><topic>Early Diagnosis</topic><topic>Electrocardiography</topic><topic>Electrocardiography - standards</topic><topic>Ethnicity</topic><topic>Heart Diseases - diagnosis</topic><topic>Humans</topic><topic>Male</topic><topic>Measurement</topic><topic>Measurement techniques</topic><topic>Observer Variation</topic><topic>Olympic games</topic><topic>Professional soccer</topic><topic>Reference Values</topic><topic>Soccer</topic><topic>Software</topic><topic>Sports medicine</topic><topic>Studies</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Berge, H M</creatorcontrib><creatorcontrib>Steine, K</creatorcontrib><creatorcontrib>Andersen, T E</creatorcontrib><creatorcontrib>Solberg, E E</creatorcontrib><creatorcontrib>Gjesdal, K</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>British journal of sports medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Berge, H M</au><au>Steine, K</au><au>Andersen, T E</au><au>Solberg, E E</au><au>Gjesdal, K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visual or computer-based measurements: important for interpretation of athletes’ ECG</atitle><jtitle>British journal of sports medicine</jtitle><addtitle>Br J Sports Med</addtitle><date>2014-05-01</date><risdate>2014</risdate><volume>48</volume><issue>9</issue><spage>761</spage><epage>767</epage><pages>761-767</pages><issn>0306-3674</issn><eissn>1473-0480</eissn><abstract>Background ECG is recommended for preparticipation health examination in athletes. Owing to a lack of consensus on how to read and interpret athletes’ ECGs, different criteria for abnormality are used. Aims To compare the prevalence of abnormal ECGs and test the correlation between visual and computer-based measurements. Methods In a preparticipation cardiac screening examination of 595 male professional soccer players aged 18–38 years, ECGs were categorised according to the European Society of Cardiology's (ESC) recommendations and the Seattle criteria, respectively. Visual measurements were conducted with callipers on-screen on the averaged PQRST complex in each lead, calculated by the trimmed mean. Computer-based measurements were derived from the medium beat. Heart rhythm and conduction were scored visually by a cardiologist. Categorical variables were compared by κ statistics (K) and continuous variables by intraclass correlation. Results ECGs of good quality were available from 579 players. According to the ESC's recommendations and Seattle criteria, respectively, ECGs were categorised as abnormal in 171 (29.5%) vs 64 (11.1%) players after visual assessment, and in 293 (50.6%; K=0.395) vs 127 (21.9%; K=0.564) after computer-based measurements. Intraclass correlation was very good for measurements of R and S wave amplitudes and moderate to very good for intervals. K was very good for pathological Q wave amplitudes and moderate for T wave inversions. Conclusions Abnormal ECGs were more than twice as common after computer-based than after visual measurements. Such a difference will markedly influence the number of athletes who need further examinations. Reference values may need adjustments dependent on measurement methods.</abstract><cop>England</cop><pub>BMJ Publishing Group</pub><pmid>24563390</pmid><doi>10.1136/bjsports-2014-093412</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0306-3674
ispartof British journal of sports medicine, 2014-05, Vol.48 (9), p.761-767
issn 0306-3674
1473-0480
language eng
recordid cdi_proquest_miscellaneous_1524399832
source MEDLINE; BMJ Journals - NESLi2
subjects Adolescent
Adult
Athletes
Blood pressure
Cardiac arrhythmia
Cardiology
Diagnosis, Computer-Assisted - standards
Early Diagnosis
Electrocardiography
Electrocardiography - standards
Ethnicity
Heart Diseases - diagnosis
Humans
Male
Measurement
Measurement techniques
Observer Variation
Olympic games
Professional soccer
Reference Values
Soccer
Software
Sports medicine
Studies
Young Adult
title Visual or computer-based measurements: important for interpretation of athletes’ ECG
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T18%3A29%3A00IST&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=Visual%20or%20computer-based%20measurements:%20important%20for%20interpretation%20of%20athletes%E2%80%99%20ECG&rft.jtitle=British%20journal%20of%20sports%20medicine&rft.au=Berge,%20H%20M&rft.date=2014-05-01&rft.volume=48&rft.issue=9&rft.spage=761&rft.epage=767&rft.pages=761-767&rft.issn=0306-3674&rft.eissn=1473-0480&rft_id=info:doi/10.1136/bjsports-2014-093412&rft_dat=%3Cproquest_cross%3E3281026681%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=1779363482&rft_id=info:pmid/24563390&rfr_iscdi=true