QT dispersion and principal component analysis in prehospital patients with chest pain
The objective of this study was to measure QT dispersion (QTD) and principal component analysis (PCA) ratio, using a newly developed algorithm, in a broad range of chest pain patients to determine potential value in diagnosing ischemic heart disease. The algorithm for determining QTD is based on lea...
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creator | Aufderheide, T.P. Reddy, S. Xue, Q. Dhala, A. Thakur, R.K. Brady, W.J. Rowlandson, I. |
description | The objective of this study was to measure QT dispersion (QTD) and principal component analysis (PCA) ratio, using a newly developed algorithm, in a broad range of chest pain patients to determine potential value in diagnosing ischemic heart disease. The algorithm for determining QTD is based on least-square-fit technique, which has better reproducibility than threshold and simple slope methods. QTD and PCA measurements were retrospectively computer-calculated in adults with a chief or secondary complaint of chest pain or equivalent syndrome who had prehospital 12-lead ECGs acquired by paramedics. There were 2157 patients with evaluable data in the final study population. 53% were males, 47% females. Using a threshold of 46 ms, QTp global measurement had a sensitivity/specificity of 60%/90% for AMI and 28%/90% for angina. For AMI, using a threshold of 31, PCA ratio had a sensitivity/specificity of 35%/90%. These data support the contention that QTD and PCA may be useful diagnostic adjuncts for detection of ischemic heart disease. |
doi_str_mv | 10.1109/CIC.1997.648138 |
format | Conference Proceeding |
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The algorithm for determining QTD is based on least-square-fit technique, which has better reproducibility than threshold and simple slope methods. QTD and PCA measurements were retrospectively computer-calculated in adults with a chief or secondary complaint of chest pain or equivalent syndrome who had prehospital 12-lead ECGs acquired by paramedics. There were 2157 patients with evaluable data in the final study population. 53% were males, 47% females. Using a threshold of 46 ms, QTp global measurement had a sensitivity/specificity of 60%/90% for AMI and 28%/90% for angina. For AMI, using a threshold of 31, PCA ratio had a sensitivity/specificity of 35%/90%. 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The algorithm for determining QTD is based on least-square-fit technique, which has better reproducibility than threshold and simple slope methods. QTD and PCA measurements were retrospectively computer-calculated in adults with a chief or secondary complaint of chest pain or equivalent syndrome who had prehospital 12-lead ECGs acquired by paramedics. There were 2157 patients with evaluable data in the final study population. 53% were males, 47% females. Using a threshold of 46 ms, QTp global measurement had a sensitivity/specificity of 60%/90% for AMI and 28%/90% for angina. For AMI, using a threshold of 31, PCA ratio had a sensitivity/specificity of 35%/90%. These data support the contention that QTD and PCA may be useful diagnostic adjuncts for detection of ischemic heart disease.</description><subject>Algorithms</subject><subject>Ambient intelligence</subject><subject>Cardiac disease</subject><subject>Computer aided diagnosis</subject><subject>Dispersion</subject><subject>Educational institutions</subject><subject>Electrocardiography</subject><subject>Heart rate interval</subject><subject>Least squares approximations</subject><subject>Medical diagnostic imaging</subject><subject>Myocardium</subject><subject>Pain</subject><subject>Principal component analysis</subject><subject>Statistical methods</subject><issn>0276-6547</issn><issn>0276-6574</issn><isbn>9780780344457</isbn><isbn>0780344456</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1Lw0AQxRdUsNSeBU978pa4X8nuHiWoLRREqF7DZjOlA-lmzaZI_3tXKgwMvN-becwQcs9ZyTmzT82mKbm1uqyV4dJckZXVhuWSSqlKX5MFE7ou6krpW7JKCTsmRJWxrhbk62NHe0wRpoRjoC70NE4YPEY3UD8e4xggzFl3wzlhohgyh8OYIs7ZEd2MmSf6g_OB-gOkOWsY7sjN3g0JVv99ST5fX3bNuti-v22a522Bgsm5cEYYD85z6LuuqgA0U84oLXvBuZKCGQHaSO8657018o9Zk0c8q_faMbkkj5e9cRq_Tzm9PWLyMAwuwHhKreCSMW5sNj5cjAgAbT7x6KZze_mY_AXXDmAr</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Aufderheide, T.P.</creator><creator>Reddy, S.</creator><creator>Xue, Q.</creator><creator>Dhala, A.</creator><creator>Thakur, R.K.</creator><creator>Brady, W.J.</creator><creator>Rowlandson, I.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>QT dispersion and principal component analysis in prehospital patients with chest pain</title><author>Aufderheide, T.P. ; Reddy, S. ; Xue, Q. ; Dhala, A. ; Thakur, R.K. ; Brady, W.J. ; Rowlandson, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-a828ceac1edbb55ee704a8473d211432082e783cabacc983a847988cec06f7a03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Algorithms</topic><topic>Ambient intelligence</topic><topic>Cardiac disease</topic><topic>Computer aided diagnosis</topic><topic>Dispersion</topic><topic>Educational institutions</topic><topic>Electrocardiography</topic><topic>Heart rate interval</topic><topic>Least squares approximations</topic><topic>Medical diagnostic imaging</topic><topic>Myocardium</topic><topic>Pain</topic><topic>Principal component analysis</topic><topic>Statistical methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Aufderheide, T.P.</creatorcontrib><creatorcontrib>Reddy, S.</creatorcontrib><creatorcontrib>Xue, Q.</creatorcontrib><creatorcontrib>Dhala, A.</creatorcontrib><creatorcontrib>Thakur, R.K.</creatorcontrib><creatorcontrib>Brady, W.J.</creatorcontrib><creatorcontrib>Rowlandson, I.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Aufderheide, T.P.</au><au>Reddy, S.</au><au>Xue, Q.</au><au>Dhala, A.</au><au>Thakur, R.K.</au><au>Brady, W.J.</au><au>Rowlandson, I.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>QT dispersion and principal component analysis in prehospital patients with chest pain</atitle><btitle>Computers in Cardiology 1997</btitle><stitle>CIC</stitle><date>1997</date><risdate>1997</risdate><spage>665</spage><epage>668</epage><pages>665-668</pages><issn>0276-6547</issn><issn>0276-6574</issn><isbn>9780780344457</isbn><isbn>0780344456</isbn><abstract>The objective of this study was to measure QT dispersion (QTD) and principal component analysis (PCA) ratio, using a newly developed algorithm, in a broad range of chest pain patients to determine potential value in diagnosing ischemic heart disease. The algorithm for determining QTD is based on least-square-fit technique, which has better reproducibility than threshold and simple slope methods. QTD and PCA measurements were retrospectively computer-calculated in adults with a chief or secondary complaint of chest pain or equivalent syndrome who had prehospital 12-lead ECGs acquired by paramedics. There were 2157 patients with evaluable data in the final study population. 53% were males, 47% females. Using a threshold of 46 ms, QTp global measurement had a sensitivity/specificity of 60%/90% for AMI and 28%/90% for angina. For AMI, using a threshold of 31, PCA ratio had a sensitivity/specificity of 35%/90%. These data support the contention that QTD and PCA may be useful diagnostic adjuncts for detection of ischemic heart disease.</abstract><pub>IEEE</pub><doi>10.1109/CIC.1997.648138</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Algorithms Ambient intelligence Cardiac disease Computer aided diagnosis Dispersion Educational institutions Electrocardiography Heart rate interval Least squares approximations Medical diagnostic imaging Myocardium Pain Principal component analysis Statistical methods |
title | QT dispersion and principal component analysis in prehospital patients with chest pain |
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