Measurement of Hyperemic Pullback Pressure Gradients to Characterize Patterns of Coronary Atherosclerosis
Diffuse atherosclerosis is commonly observed in angiographically normal segments in patients with stable coronary artery disease (CAD). The distribution of epicardial resistance along the vessel can be evaluated using coronary physiology. The purpose of this study was to characterize the pathophysio...
Gespeichert in:
| Veröffentlicht in: | Journal of the American College of Cardiology 2019-10, Vol.74 (14), p.1772-1784 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1784 |
|---|---|
| container_issue | 14 |
| container_start_page | 1772 |
| container_title | Journal of the American College of Cardiology |
| container_volume | 74 |
| creator | Collet, Carlos Sonck, Jeroen Vandeloo, Bert Mizukami, Takuya Roosens, Bram Lochy, Stijn Argacha, Jean-Francois Schoors, Danny Colaiori, Iginio Di Gioia, Giuseppe Kodeboina, Monika Suzuki, Hiroshi Van ’t Veer, Marcel Bartunek, Jozef Barbato, Emanuele Cosyns, Bernard De Bruyne, Bernard |
| description | Diffuse atherosclerosis is commonly observed in angiographically normal segments in patients with stable coronary artery disease (CAD). The distribution of epicardial resistance along the vessel can be evaluated using coronary physiology.
The purpose of this study was to characterize the pathophysiological patterns of CAD using invasive pressure pullbacks during continuous hyperemia.
In this prospective, multicenter study of patients undergoing clinically-indicated coronary angiography due to stable angina, a pressure-wire pullback device was set at a speed of 1 mm/s. Based on coronary angiography and on the fractional flow reserve (FFR) pullback curve, the patterns of CAD were adjudicated as focal, diffuse, or a combination of both. The distribution of epicardial resistance was characterized using the hyperemic pullback pressure gradients (PPGs). The PPG index, a continuous metric based on the magnitude of pressure drop over 20 mm and on the extent of functional disease was computed to determine the pattern of CAD. Low PPG index indicates diffuse CAD.
A total of 158 vessels (n = 117) were included. Overall, 984,813 FFR values were used to generate 100 FFR pullback curves. Using coronary physiology, 36% of the vessel disease patterns were reclassified compared to angiography. The median of maximal PPG over 20 mm was 0.083 (interquartile range: 0.063 to 0.118) FFR units, and the mean extent of functional disease was 39.3 ± 21.3 mm. The mean PPG index was 0.58 ± 0.18 and differentiated pathophysiological focal and diffuse disease (p |
| doi_str_mv | 10.1016/j.jacc.2019.07.072 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2301440478</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0735109719362680</els_id><sourcerecordid>2301440478</sourcerecordid><originalsourceid>FETCH-LOGICAL-c477t-58f4c6ed21533c72bd790fb86a2e1fc786e1e7250cbffd91efba00f4aa9e3bfa3</originalsourceid><addsrcrecordid>eNp9kU9r3DAQxUVpaLZJvkAORdBLL95oJNuyoJewtEkgIXtIzkKWR0SO19pKdiD99JXZtIccCoP-wG8eM-8Rcg5sDQzqi37dG2vXnIFaM5mLfyArqKqmEJWSH8mKSVEVwJQ8Jp9T6hljdQPqEzkWUDUchFwRf4cmzRF3OE40OHr9usf885Zu52FojX2m24hpQehVNJ3PXKJToJsnE42dMPrfSLdmyq8xLQqbEMNo4iu9nJ4whmSH5fTplBw5MyQ8e7tPyOPPHw-b6-L2_upmc3lb2FLKqagaV9oaOw6VEFbytpOKubapDUdwVjY1AkpeMds61ylA1xrGXGmMQtE6I07It4PuPoZfM6ZJ73yyOAxmxDAnzQWDsmSlbDL69R3ahzmOeTrNuVIlSOAqU_xA2bxHiuj0Pvpd3lAD00sQutdLEHoJQjOZi-emL2_Sc7vD7l_LX-cz8P0AYPbixWPUyWZzLXY-op10F_z_9P8APdibkQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2299417129</pqid></control><display><type>article</type><title>Measurement of Hyperemic Pullback Pressure Gradients to Characterize Patterns of Coronary Atherosclerosis</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Collet, Carlos ; Sonck, Jeroen ; Vandeloo, Bert ; Mizukami, Takuya ; Roosens, Bram ; Lochy, Stijn ; Argacha, Jean-Francois ; Schoors, Danny ; Colaiori, Iginio ; Di Gioia, Giuseppe ; Kodeboina, Monika ; Suzuki, Hiroshi ; Van ’t Veer, Marcel ; Bartunek, Jozef ; Barbato, Emanuele ; Cosyns, Bernard ; De Bruyne, Bernard</creator><creatorcontrib>Collet, Carlos ; Sonck, Jeroen ; Vandeloo, Bert ; Mizukami, Takuya ; Roosens, Bram ; Lochy, Stijn ; Argacha, Jean-Francois ; Schoors, Danny ; Colaiori, Iginio ; Di Gioia, Giuseppe ; Kodeboina, Monika ; Suzuki, Hiroshi ; Van ’t Veer, Marcel ; Bartunek, Jozef ; Barbato, Emanuele ; Cosyns, Bernard ; De Bruyne, Bernard</creatorcontrib><description>Diffuse atherosclerosis is commonly observed in angiographically normal segments in patients with stable coronary artery disease (CAD). The distribution of epicardial resistance along the vessel can be evaluated using coronary physiology.
The purpose of this study was to characterize the pathophysiological patterns of CAD using invasive pressure pullbacks during continuous hyperemia.
In this prospective, multicenter study of patients undergoing clinically-indicated coronary angiography due to stable angina, a pressure-wire pullback device was set at a speed of 1 mm/s. Based on coronary angiography and on the fractional flow reserve (FFR) pullback curve, the patterns of CAD were adjudicated as focal, diffuse, or a combination of both. The distribution of epicardial resistance was characterized using the hyperemic pullback pressure gradients (PPGs). The PPG index, a continuous metric based on the magnitude of pressure drop over 20 mm and on the extent of functional disease was computed to determine the pattern of CAD. Low PPG index indicates diffuse CAD.
A total of 158 vessels (n = 117) were included. Overall, 984,813 FFR values were used to generate 100 FFR pullback curves. Using coronary physiology, 36% of the vessel disease patterns were reclassified compared to angiography. The median of maximal PPG over 20 mm was 0.083 (interquartile range: 0.063 to 0.118) FFR units, and the mean extent of functional disease was 39.3 ± 21.3 mm. The mean PPG index was 0.58 ± 0.18 and differentiated pathophysiological focal and diffuse disease (p < 0.001).
Pathophysiological patterns of CAD can be characterized by motorized hyperemic PPGs. The evaluation of the FFR pullback curve reclassified one-third of the vessels’ disease patterns compared with conventional angiography. The PPG index is a novel metric that quantifies the distribution of epicardial resistance and discriminates focal from diffuse CAD. (Physiological Patterns of Coronary Artery Disease; NCT03824600)
[Display omitted]</description><identifier>ISSN: 0735-1097</identifier><identifier>EISSN: 1558-3597</identifier><identifier>DOI: 10.1016/j.jacc.2019.07.072</identifier><identifier>PMID: 31582137</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Angina ; Angiography ; Arteriosclerosis ; Atherosclerosis ; Cardiology ; Cardiovascular disease ; Coronary Angiography - methods ; Coronary artery ; Coronary artery disease ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - epidemiology ; Coronary Artery Disease - physiopathology ; coronary physiology ; Coronary vessels ; Female ; Follow-Up Studies ; fractional flow reserve ; Fractional Flow Reserve, Myocardial - physiology ; Heart attacks ; Heart diseases ; Humans ; Hyperemia ; Hyperemia - diagnostic imaging ; Hyperemia - epidemiology ; Hyperemia - physiopathology ; Ischemia ; Laboratories ; Male ; Medical imaging ; Middle Aged ; Physiology ; Pressure ; Pressure drop ; Pressure gradients ; Prospective Studies ; pullback</subject><ispartof>Journal of the American College of Cardiology, 2019-10, Vol.74 (14), p.1772-1784</ispartof><rights>2019 American College of Cardiology Foundation</rights><rights>Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.</rights><rights>2019. American College of Cardiology Foundation</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-58f4c6ed21533c72bd790fb86a2e1fc786e1e7250cbffd91efba00f4aa9e3bfa3</citedby><cites>FETCH-LOGICAL-c477t-58f4c6ed21533c72bd790fb86a2e1fc786e1e7250cbffd91efba00f4aa9e3bfa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0735109719362680$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31582137$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Collet, Carlos</creatorcontrib><creatorcontrib>Sonck, Jeroen</creatorcontrib><creatorcontrib>Vandeloo, Bert</creatorcontrib><creatorcontrib>Mizukami, Takuya</creatorcontrib><creatorcontrib>Roosens, Bram</creatorcontrib><creatorcontrib>Lochy, Stijn</creatorcontrib><creatorcontrib>Argacha, Jean-Francois</creatorcontrib><creatorcontrib>Schoors, Danny</creatorcontrib><creatorcontrib>Colaiori, Iginio</creatorcontrib><creatorcontrib>Di Gioia, Giuseppe</creatorcontrib><creatorcontrib>Kodeboina, Monika</creatorcontrib><creatorcontrib>Suzuki, Hiroshi</creatorcontrib><creatorcontrib>Van ’t Veer, Marcel</creatorcontrib><creatorcontrib>Bartunek, Jozef</creatorcontrib><creatorcontrib>Barbato, Emanuele</creatorcontrib><creatorcontrib>Cosyns, Bernard</creatorcontrib><creatorcontrib>De Bruyne, Bernard</creatorcontrib><title>Measurement of Hyperemic Pullback Pressure Gradients to Characterize Patterns of Coronary Atherosclerosis</title><title>Journal of the American College of Cardiology</title><addtitle>J Am Coll Cardiol</addtitle><description>Diffuse atherosclerosis is commonly observed in angiographically normal segments in patients with stable coronary artery disease (CAD). The distribution of epicardial resistance along the vessel can be evaluated using coronary physiology.
The purpose of this study was to characterize the pathophysiological patterns of CAD using invasive pressure pullbacks during continuous hyperemia.
In this prospective, multicenter study of patients undergoing clinically-indicated coronary angiography due to stable angina, a pressure-wire pullback device was set at a speed of 1 mm/s. Based on coronary angiography and on the fractional flow reserve (FFR) pullback curve, the patterns of CAD were adjudicated as focal, diffuse, or a combination of both. The distribution of epicardial resistance was characterized using the hyperemic pullback pressure gradients (PPGs). The PPG index, a continuous metric based on the magnitude of pressure drop over 20 mm and on the extent of functional disease was computed to determine the pattern of CAD. Low PPG index indicates diffuse CAD.
A total of 158 vessels (n = 117) were included. Overall, 984,813 FFR values were used to generate 100 FFR pullback curves. Using coronary physiology, 36% of the vessel disease patterns were reclassified compared to angiography. The median of maximal PPG over 20 mm was 0.083 (interquartile range: 0.063 to 0.118) FFR units, and the mean extent of functional disease was 39.3 ± 21.3 mm. The mean PPG index was 0.58 ± 0.18 and differentiated pathophysiological focal and diffuse disease (p < 0.001).
Pathophysiological patterns of CAD can be characterized by motorized hyperemic PPGs. The evaluation of the FFR pullback curve reclassified one-third of the vessels’ disease patterns compared with conventional angiography. The PPG index is a novel metric that quantifies the distribution of epicardial resistance and discriminates focal from diffuse CAD. (Physiological Patterns of Coronary Artery Disease; NCT03824600)
[Display omitted]</description><subject>Aged</subject><subject>Angina</subject><subject>Angiography</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Coronary Angiography - methods</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary Artery Disease - physiopathology</subject><subject>coronary physiology</subject><subject>Coronary vessels</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>fractional flow reserve</subject><subject>Fractional Flow Reserve, Myocardial - physiology</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Hyperemia</subject><subject>Hyperemia - diagnostic imaging</subject><subject>Hyperemia - epidemiology</subject><subject>Hyperemia - physiopathology</subject><subject>Ischemia</subject><subject>Laboratories</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Physiology</subject><subject>Pressure</subject><subject>Pressure drop</subject><subject>Pressure gradients</subject><subject>Prospective Studies</subject><subject>pullback</subject><issn>0735-1097</issn><issn>1558-3597</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU9r3DAQxUVpaLZJvkAORdBLL95oJNuyoJewtEkgIXtIzkKWR0SO19pKdiD99JXZtIccCoP-wG8eM-8Rcg5sDQzqi37dG2vXnIFaM5mLfyArqKqmEJWSH8mKSVEVwJQ8Jp9T6hljdQPqEzkWUDUchFwRf4cmzRF3OE40OHr9usf885Zu52FojX2m24hpQehVNJ3PXKJToJsnE42dMPrfSLdmyq8xLQqbEMNo4iu9nJ4whmSH5fTplBw5MyQ8e7tPyOPPHw-b6-L2_upmc3lb2FLKqagaV9oaOw6VEFbytpOKubapDUdwVjY1AkpeMds61ylA1xrGXGmMQtE6I07It4PuPoZfM6ZJ73yyOAxmxDAnzQWDsmSlbDL69R3ahzmOeTrNuVIlSOAqU_xA2bxHiuj0Pvpd3lAD00sQutdLEHoJQjOZi-emL2_Sc7vD7l_LX-cz8P0AYPbixWPUyWZzLXY-op10F_z_9P8APdibkQ</recordid><startdate>20191008</startdate><enddate>20191008</enddate><creator>Collet, Carlos</creator><creator>Sonck, Jeroen</creator><creator>Vandeloo, Bert</creator><creator>Mizukami, Takuya</creator><creator>Roosens, Bram</creator><creator>Lochy, Stijn</creator><creator>Argacha, Jean-Francois</creator><creator>Schoors, Danny</creator><creator>Colaiori, Iginio</creator><creator>Di Gioia, Giuseppe</creator><creator>Kodeboina, Monika</creator><creator>Suzuki, Hiroshi</creator><creator>Van ’t Veer, Marcel</creator><creator>Bartunek, Jozef</creator><creator>Barbato, Emanuele</creator><creator>Cosyns, Bernard</creator><creator>De Bruyne, Bernard</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20191008</creationdate><title>Measurement of Hyperemic Pullback Pressure Gradients to Characterize Patterns of Coronary Atherosclerosis</title><author>Collet, Carlos ; Sonck, Jeroen ; Vandeloo, Bert ; Mizukami, Takuya ; Roosens, Bram ; Lochy, Stijn ; Argacha, Jean-Francois ; Schoors, Danny ; Colaiori, Iginio ; Di Gioia, Giuseppe ; Kodeboina, Monika ; Suzuki, Hiroshi ; Van ’t Veer, Marcel ; Bartunek, Jozef ; Barbato, Emanuele ; Cosyns, Bernard ; De Bruyne, Bernard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-58f4c6ed21533c72bd790fb86a2e1fc786e1e7250cbffd91efba00f4aa9e3bfa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Angina</topic><topic>Angiography</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Coronary Angiography - methods</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary Artery Disease - physiopathology</topic><topic>coronary physiology</topic><topic>Coronary vessels</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>fractional flow reserve</topic><topic>Fractional Flow Reserve, Myocardial - physiology</topic><topic>Heart attacks</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Hyperemia</topic><topic>Hyperemia - diagnostic imaging</topic><topic>Hyperemia - epidemiology</topic><topic>Hyperemia - physiopathology</topic><topic>Ischemia</topic><topic>Laboratories</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Physiology</topic><topic>Pressure</topic><topic>Pressure drop</topic><topic>Pressure gradients</topic><topic>Prospective Studies</topic><topic>pullback</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Collet, Carlos</creatorcontrib><creatorcontrib>Sonck, Jeroen</creatorcontrib><creatorcontrib>Vandeloo, Bert</creatorcontrib><creatorcontrib>Mizukami, Takuya</creatorcontrib><creatorcontrib>Roosens, Bram</creatorcontrib><creatorcontrib>Lochy, Stijn</creatorcontrib><creatorcontrib>Argacha, Jean-Francois</creatorcontrib><creatorcontrib>Schoors, Danny</creatorcontrib><creatorcontrib>Colaiori, Iginio</creatorcontrib><creatorcontrib>Di Gioia, Giuseppe</creatorcontrib><creatorcontrib>Kodeboina, Monika</creatorcontrib><creatorcontrib>Suzuki, Hiroshi</creatorcontrib><creatorcontrib>Van ’t Veer, Marcel</creatorcontrib><creatorcontrib>Bartunek, Jozef</creatorcontrib><creatorcontrib>Barbato, Emanuele</creatorcontrib><creatorcontrib>Cosyns, Bernard</creatorcontrib><creatorcontrib>De Bruyne, Bernard</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American College of Cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Collet, Carlos</au><au>Sonck, Jeroen</au><au>Vandeloo, Bert</au><au>Mizukami, Takuya</au><au>Roosens, Bram</au><au>Lochy, Stijn</au><au>Argacha, Jean-Francois</au><au>Schoors, Danny</au><au>Colaiori, Iginio</au><au>Di Gioia, Giuseppe</au><au>Kodeboina, Monika</au><au>Suzuki, Hiroshi</au><au>Van ’t Veer, Marcel</au><au>Bartunek, Jozef</au><au>Barbato, Emanuele</au><au>Cosyns, Bernard</au><au>De Bruyne, Bernard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement of Hyperemic Pullback Pressure Gradients to Characterize Patterns of Coronary Atherosclerosis</atitle><jtitle>Journal of the American College of Cardiology</jtitle><addtitle>J Am Coll Cardiol</addtitle><date>2019-10-08</date><risdate>2019</risdate><volume>74</volume><issue>14</issue><spage>1772</spage><epage>1784</epage><pages>1772-1784</pages><issn>0735-1097</issn><eissn>1558-3597</eissn><abstract>Diffuse atherosclerosis is commonly observed in angiographically normal segments in patients with stable coronary artery disease (CAD). The distribution of epicardial resistance along the vessel can be evaluated using coronary physiology.
The purpose of this study was to characterize the pathophysiological patterns of CAD using invasive pressure pullbacks during continuous hyperemia.
In this prospective, multicenter study of patients undergoing clinically-indicated coronary angiography due to stable angina, a pressure-wire pullback device was set at a speed of 1 mm/s. Based on coronary angiography and on the fractional flow reserve (FFR) pullback curve, the patterns of CAD were adjudicated as focal, diffuse, or a combination of both. The distribution of epicardial resistance was characterized using the hyperemic pullback pressure gradients (PPGs). The PPG index, a continuous metric based on the magnitude of pressure drop over 20 mm and on the extent of functional disease was computed to determine the pattern of CAD. Low PPG index indicates diffuse CAD.
A total of 158 vessels (n = 117) were included. Overall, 984,813 FFR values were used to generate 100 FFR pullback curves. Using coronary physiology, 36% of the vessel disease patterns were reclassified compared to angiography. The median of maximal PPG over 20 mm was 0.083 (interquartile range: 0.063 to 0.118) FFR units, and the mean extent of functional disease was 39.3 ± 21.3 mm. The mean PPG index was 0.58 ± 0.18 and differentiated pathophysiological focal and diffuse disease (p < 0.001).
Pathophysiological patterns of CAD can be characterized by motorized hyperemic PPGs. The evaluation of the FFR pullback curve reclassified one-third of the vessels’ disease patterns compared with conventional angiography. The PPG index is a novel metric that quantifies the distribution of epicardial resistance and discriminates focal from diffuse CAD. (Physiological Patterns of Coronary Artery Disease; NCT03824600)
[Display omitted]</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>31582137</pmid><doi>10.1016/j.jacc.2019.07.072</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0735-1097 |
| ispartof | Journal of the American College of Cardiology, 2019-10, Vol.74 (14), p.1772-1784 |
| issn | 0735-1097 1558-3597 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2301440478 |
| source | MEDLINE; Elsevier ScienceDirect Journals Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Aged Angina Angiography Arteriosclerosis Atherosclerosis Cardiology Cardiovascular disease Coronary Angiography - methods Coronary artery Coronary artery disease Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - epidemiology Coronary Artery Disease - physiopathology coronary physiology Coronary vessels Female Follow-Up Studies fractional flow reserve Fractional Flow Reserve, Myocardial - physiology Heart attacks Heart diseases Humans Hyperemia Hyperemia - diagnostic imaging Hyperemia - epidemiology Hyperemia - physiopathology Ischemia Laboratories Male Medical imaging Middle Aged Physiology Pressure Pressure drop Pressure gradients Prospective Studies pullback |
| title | Measurement of Hyperemic Pullback Pressure Gradients to Characterize Patterns of Coronary Atherosclerosis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T18%3A51%3A53IST&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=Measurement%20of%20Hyperemic%20Pullback%20Pressure%20Gradients%20to%20Characterize%20Patterns%20of%20Coronary%20Atherosclerosis&rft.jtitle=Journal%20of%20the%20American%20College%20of%20Cardiology&rft.au=Collet,%20Carlos&rft.date=2019-10-08&rft.volume=74&rft.issue=14&rft.spage=1772&rft.epage=1784&rft.pages=1772-1784&rft.issn=0735-1097&rft.eissn=1558-3597&rft_id=info:doi/10.1016/j.jacc.2019.07.072&rft_dat=%3Cproquest_cross%3E2301440478%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=2299417129&rft_id=info:pmid/31582137&rft_els_id=S0735109719362680&rfr_iscdi=true |