Novel Method to Detect Pitfalls of Intracoronary Pressure Measurements by Pressure Waveform Analysis
Potential pitfalls of fractional flow reserve (FFR) measurements are well-known drawbacks of invasive physiology measurement, e.g., significant drift of the distal pressure trace may lead to the misclassification of stenoses. Thus, a simultaneous waveform analysis of the pressure traces may be of he...
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creator | Jenei, Csaba Tar, Balázs Ágoston, András Sánta, Péter Sánta, János Csippa, Benjámin Wéber, Richárd Gyürki, Dániel Halász, Gábor Szabó, Gábor Tamás Czuriga, Dániel Kőszegi, Zsolt |
description | Potential pitfalls of fractional flow reserve (FFR) measurements are well-known drawbacks of invasive physiology measurement, e.g., significant drift of the distal pressure trace may lead to the misclassification of stenoses. Thus, a simultaneous waveform analysis of the pressure traces may be of help in the quality control of these measurements by online detection of such artefacts as the drift or the wedging of the catheter. In the current study, we analysed the intracoronary pressure waveform with a dedicated program. In 130 patients, 232 FFR measurements were performed and derivative pressure curves were calculated. Local amplitude around the dicrotic notch was calculated from the distal intracoronary pressure traces (δdP
/dt). A unidimensional arterial network model of blood flow was employed to simulate the intracoronary pressure traces at different flow rates. There was a strong correlation between δdP
/dt values measured during hyperaemia and FFR (r = 0.88). Diagnostic performance of distal δdP
/dt ≤ 3.52 for the prediction of FFR ≤ 0.80 was 91%. The correlation between the pressure gradient and the corresponding δdP
/dt values obtained from all measurements independently of the physiological phase was also significant (r = 0.80). During simulation, the effect of flow rate on δdP
/dt further supported the close correlation between the pressure ratios and δdP
/dt. Discordance between the FFR and the δdP
/dt can be used as an indicator of possible technical problems of FFR measurements. Hence, an online calculation of the δdP
/dt may be helpful in avoiding some pitfalls of FFR evaluation. |
doi_str_mv | 10.3390/jpm12122035 |
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/dt). A unidimensional arterial network model of blood flow was employed to simulate the intracoronary pressure traces at different flow rates. There was a strong correlation between δdP
/dt values measured during hyperaemia and FFR (r = 0.88). Diagnostic performance of distal δdP
/dt ≤ 3.52 for the prediction of FFR ≤ 0.80 was 91%. The correlation between the pressure gradient and the corresponding δdP
/dt values obtained from all measurements independently of the physiological phase was also significant (r = 0.80). During simulation, the effect of flow rate on δdP
/dt further supported the close correlation between the pressure ratios and δdP
/dt. Discordance between the FFR and the δdP
/dt can be used as an indicator of possible technical problems of FFR measurements. Hence, an online calculation of the δdP
/dt may be helpful in avoiding some pitfalls of FFR evaluation.</description><identifier>ISSN: 2075-4426</identifier><identifier>EISSN: 2075-4426</identifier><identifier>DOI: 10.3390/jpm12122035</identifier><identifier>PMID: 36556256</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adenosine ; Blood flow ; Cardiovascular disease ; Catheters ; Coronary vessels ; Discordance ; Drift ; Hemodynamics ; Hyperemia ; Ischemia ; Laboratories ; Medical imaging ; Physiology ; Precision medicine ; Pressure ; Quality control ; Sensors ; Software ; Stents ; Vein & artery diseases ; Waveform analysis</subject><ispartof>Journal of personalized medicine, 2022-12, Vol.12 (12), p.2035</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c297t-bf4b91d61251033237dad2770d5f89fea7ef7f1182aa3c09b1b6007c7eb3f713</cites><orcidid>0000-0001-9880-0425 ; 0000-0002-2817-6900 ; 0000-0001-9466-1413</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784866/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784866/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36556256$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jenei, Csaba</creatorcontrib><creatorcontrib>Tar, Balázs</creatorcontrib><creatorcontrib>Ágoston, András</creatorcontrib><creatorcontrib>Sánta, Péter</creatorcontrib><creatorcontrib>Sánta, János</creatorcontrib><creatorcontrib>Csippa, Benjámin</creatorcontrib><creatorcontrib>Wéber, Richárd</creatorcontrib><creatorcontrib>Gyürki, Dániel</creatorcontrib><creatorcontrib>Halász, Gábor</creatorcontrib><creatorcontrib>Szabó, Gábor Tamás</creatorcontrib><creatorcontrib>Czuriga, Dániel</creatorcontrib><creatorcontrib>Kőszegi, Zsolt</creatorcontrib><title>Novel Method to Detect Pitfalls of Intracoronary Pressure Measurements by Pressure Waveform Analysis</title><title>Journal of personalized medicine</title><addtitle>J Pers Med</addtitle><description>Potential pitfalls of fractional flow reserve (FFR) measurements are well-known drawbacks of invasive physiology measurement, e.g., significant drift of the distal pressure trace may lead to the misclassification of stenoses. Thus, a simultaneous waveform analysis of the pressure traces may be of help in the quality control of these measurements by online detection of such artefacts as the drift or the wedging of the catheter. In the current study, we analysed the intracoronary pressure waveform with a dedicated program. In 130 patients, 232 FFR measurements were performed and derivative pressure curves were calculated. Local amplitude around the dicrotic notch was calculated from the distal intracoronary pressure traces (δdP
/dt). A unidimensional arterial network model of blood flow was employed to simulate the intracoronary pressure traces at different flow rates. There was a strong correlation between δdP
/dt values measured during hyperaemia and FFR (r = 0.88). Diagnostic performance of distal δdP
/dt ≤ 3.52 for the prediction of FFR ≤ 0.80 was 91%. The correlation between the pressure gradient and the corresponding δdP
/dt values obtained from all measurements independently of the physiological phase was also significant (r = 0.80). During simulation, the effect of flow rate on δdP
/dt further supported the close correlation between the pressure ratios and δdP
/dt. Discordance between the FFR and the δdP
/dt can be used as an indicator of possible technical problems of FFR measurements. Hence, an online calculation of the δdP
/dt may be helpful in avoiding some pitfalls of FFR evaluation.</description><subject>Adenosine</subject><subject>Blood flow</subject><subject>Cardiovascular disease</subject><subject>Catheters</subject><subject>Coronary vessels</subject><subject>Discordance</subject><subject>Drift</subject><subject>Hemodynamics</subject><subject>Hyperemia</subject><subject>Ischemia</subject><subject>Laboratories</subject><subject>Medical imaging</subject><subject>Physiology</subject><subject>Precision medicine</subject><subject>Pressure</subject><subject>Quality control</subject><subject>Sensors</subject><subject>Software</subject><subject>Stents</subject><subject>Vein & artery diseases</subject><subject>Waveform analysis</subject><issn>2075-4426</issn><issn>2075-4426</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdkUtLxDAURoMozqCu3EvAjSCjeTRJuxEG3-BrIbgMaXvjdGibMUkH_PdmfDGazQ3ck48TPoT2KTnhvCCn80VHGWWMcLGBxowoMckyJjfX7iO0F8KcpJMLxiTZRiMuhZBMyDGqH9wSWnwPceZqHB2-gAhVxE9NtKZtA3YW3_bRm8p51xv_jp88hDB4SG_ManbQx4DLtcWLWYJ1vsPT3rTvoQm7aCuFBdj7njvo-ery-fxmcvd4fXs-vZtUrFBxUtqsLGgtKROUcM64qk3NlCK1sHlhwSiwylKaM2N4RYqSlpIQVSkouVWU76Czr9jFUHZQV7DybvXCN10S1840-u-mb2b61S11ofIslzIFHH0HePc2QIi6a0IFbWt6cEPQTImckpx8oof_0LkbfPrvJyVVss9Eoo6_qMq7EDzYXxlK9Ko_vdZfog_W_X_Zn7b4B2rGl14</recordid><startdate>20221208</startdate><enddate>20221208</enddate><creator>Jenei, Csaba</creator><creator>Tar, Balázs</creator><creator>Ágoston, András</creator><creator>Sánta, Péter</creator><creator>Sánta, János</creator><creator>Csippa, Benjámin</creator><creator>Wéber, Richárd</creator><creator>Gyürki, Dániel</creator><creator>Halász, Gábor</creator><creator>Szabó, Gábor Tamás</creator><creator>Czuriga, Dániel</creator><creator>Kőszegi, Zsolt</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9880-0425</orcidid><orcidid>https://orcid.org/0000-0002-2817-6900</orcidid><orcidid>https://orcid.org/0000-0001-9466-1413</orcidid></search><sort><creationdate>20221208</creationdate><title>Novel Method to Detect Pitfalls of Intracoronary Pressure Measurements by Pressure Waveform Analysis</title><author>Jenei, Csaba ; Tar, Balázs ; Ágoston, András ; Sánta, Péter ; Sánta, János ; Csippa, Benjámin ; Wéber, Richárd ; Gyürki, Dániel ; Halász, Gábor ; Szabó, Gábor Tamás ; Czuriga, Dániel ; Kőszegi, Zsolt</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c297t-bf4b91d61251033237dad2770d5f89fea7ef7f1182aa3c09b1b6007c7eb3f713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adenosine</topic><topic>Blood flow</topic><topic>Cardiovascular disease</topic><topic>Catheters</topic><topic>Coronary vessels</topic><topic>Discordance</topic><topic>Drift</topic><topic>Hemodynamics</topic><topic>Hyperemia</topic><topic>Ischemia</topic><topic>Laboratories</topic><topic>Medical imaging</topic><topic>Physiology</topic><topic>Precision medicine</topic><topic>Pressure</topic><topic>Quality control</topic><topic>Sensors</topic><topic>Software</topic><topic>Stents</topic><topic>Vein & artery diseases</topic><topic>Waveform analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jenei, Csaba</creatorcontrib><creatorcontrib>Tar, Balázs</creatorcontrib><creatorcontrib>Ágoston, András</creatorcontrib><creatorcontrib>Sánta, Péter</creatorcontrib><creatorcontrib>Sánta, János</creatorcontrib><creatorcontrib>Csippa, Benjámin</creatorcontrib><creatorcontrib>Wéber, Richárd</creatorcontrib><creatorcontrib>Gyürki, Dániel</creatorcontrib><creatorcontrib>Halász, Gábor</creatorcontrib><creatorcontrib>Szabó, Gábor Tamás</creatorcontrib><creatorcontrib>Czuriga, Dániel</creatorcontrib><creatorcontrib>Kőszegi, Zsolt</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Access via ProQuest (Open Access)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of personalized medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jenei, Csaba</au><au>Tar, Balázs</au><au>Ágoston, András</au><au>Sánta, Péter</au><au>Sánta, János</au><au>Csippa, Benjámin</au><au>Wéber, Richárd</au><au>Gyürki, Dániel</au><au>Halász, Gábor</au><au>Szabó, Gábor Tamás</au><au>Czuriga, Dániel</au><au>Kőszegi, Zsolt</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Novel Method to Detect Pitfalls of Intracoronary Pressure Measurements by Pressure Waveform Analysis</atitle><jtitle>Journal of personalized medicine</jtitle><addtitle>J Pers Med</addtitle><date>2022-12-08</date><risdate>2022</risdate><volume>12</volume><issue>12</issue><spage>2035</spage><pages>2035-</pages><issn>2075-4426</issn><eissn>2075-4426</eissn><abstract>Potential pitfalls of fractional flow reserve (FFR) measurements are well-known drawbacks of invasive physiology measurement, e.g., significant drift of the distal pressure trace may lead to the misclassification of stenoses. Thus, a simultaneous waveform analysis of the pressure traces may be of help in the quality control of these measurements by online detection of such artefacts as the drift or the wedging of the catheter. In the current study, we analysed the intracoronary pressure waveform with a dedicated program. In 130 patients, 232 FFR measurements were performed and derivative pressure curves were calculated. Local amplitude around the dicrotic notch was calculated from the distal intracoronary pressure traces (δdP
/dt). A unidimensional arterial network model of blood flow was employed to simulate the intracoronary pressure traces at different flow rates. There was a strong correlation between δdP
/dt values measured during hyperaemia and FFR (r = 0.88). Diagnostic performance of distal δdP
/dt ≤ 3.52 for the prediction of FFR ≤ 0.80 was 91%. The correlation between the pressure gradient and the corresponding δdP
/dt values obtained from all measurements independently of the physiological phase was also significant (r = 0.80). During simulation, the effect of flow rate on δdP
/dt further supported the close correlation between the pressure ratios and δdP
/dt. Discordance between the FFR and the δdP
/dt can be used as an indicator of possible technical problems of FFR measurements. Hence, an online calculation of the δdP
/dt may be helpful in avoiding some pitfalls of FFR evaluation.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36556256</pmid><doi>10.3390/jpm12122035</doi><orcidid>https://orcid.org/0000-0001-9880-0425</orcidid><orcidid>https://orcid.org/0000-0002-2817-6900</orcidid><orcidid>https://orcid.org/0000-0001-9466-1413</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adenosine Blood flow Cardiovascular disease Catheters Coronary vessels Discordance Drift Hemodynamics Hyperemia Ischemia Laboratories Medical imaging Physiology Precision medicine Pressure Quality control Sensors Software Stents Vein & artery diseases Waveform analysis |
title | Novel Method to Detect Pitfalls of Intracoronary Pressure Measurements by Pressure Waveform Analysis |
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