Prediction of valve prosthesis–patient mismatch prior to aortic valve replacement: which is the best method?

Background: To predict the occurrence of valve prosthesis–patient mismatch (VP–PM) after aortic valve replacement (AVR), the surgeon needs to estimate the postoperative effective orifice area index (EOAI). Aim: To compare different methods of predicting VP–PM. Methods: The effective orifice area (EO...

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Veröffentlicht in:Heart (British Cardiac Society) 2007-05, Vol.93 (5), p.615-620
Hauptverfasser: Bleiziffer, Sabine, Eichinger, Walter B, Hettich, Ina, Guenzinger, Ralf, Ruzicka, Daniel, Bauernschmitt, Robert, Lange, Ruediger
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container_end_page 620
container_issue 5
container_start_page 615
container_title Heart (British Cardiac Society)
container_volume 93
creator Bleiziffer, Sabine
Eichinger, Walter B
Hettich, Ina
Guenzinger, Ralf
Ruzicka, Daniel
Bauernschmitt, Robert
Lange, Ruediger
description Background: To predict the occurrence of valve prosthesis–patient mismatch (VP–PM) after aortic valve replacement (AVR), the surgeon needs to estimate the postoperative effective orifice area index (EOAI). Aim: To compare different methods of predicting VP–PM. Methods: The effective orifice area (EOA) of 383 patients who had undergone AVR between July 2000 and January 2005 with various aortic valve prostheses was obtained echocardiographically 6 months after the operation. We tested the efficacy of (1) EOAI calculated from the echo data obtained in our own laboratory, (2) indexed geometric orifice area, (3) EOAI estimated from charts provided by prosthesis manufacturers (which are based either on in vitro or on echo data) and (4) EOAI estimated from reference echo data published in the literature to predict VP–PM. Results: Sensitivity and specificity to predict VP–PM were 53% and 83% (method 1), 80% and 53% (charts based on echo data, parts of method 3) and 71% and 67% (method 4) using reference data derived from echocardiographic examinations. The sensitivity of method 2 and of charts based on in vitro data (parts of method 3) to predict VP–PM was 0–17%. The incidence of severe VP–PM could be reduced from 8.7% to 0.8% after the introduction of the systematic estimation of the EOAI at the time of operation (p = 0.003, method 1). Conclusions: The best method of predicting VP–PM is the use of mean (SD) EOAs derived from echocardiographic examinations, whereas the use of in vitro data or the geometric orifice area is unreliable. After the surgeon’s anticipation of VP–PM prior to AVR, the incidence of VP–PM could be reduced.
doi_str_mv 10.1136/hrt.2006.102764
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Aim: To compare different methods of predicting VP–PM. Methods: The effective orifice area (EOA) of 383 patients who had undergone AVR between July 2000 and January 2005 with various aortic valve prostheses was obtained echocardiographically 6 months after the operation. We tested the efficacy of (1) EOAI calculated from the echo data obtained in our own laboratory, (2) indexed geometric orifice area, (3) EOAI estimated from charts provided by prosthesis manufacturers (which are based either on in vitro or on echo data) and (4) EOAI estimated from reference echo data published in the literature to predict VP–PM. Results: Sensitivity and specificity to predict VP–PM were 53% and 83% (method 1), 80% and 53% (charts based on echo data, parts of method 3) and 71% and 67% (method 4) using reference data derived from echocardiographic examinations. The sensitivity of method 2 and of charts based on in vitro data (parts of method 3) to predict VP–PM was 0–17%. The incidence of severe VP–PM could be reduced from 8.7% to 0.8% after the introduction of the systematic estimation of the EOAI at the time of operation (p = 0.003, method 1). Conclusions: The best method of predicting VP–PM is the use of mean (SD) EOAs derived from echocardiographic examinations, whereas the use of in vitro data or the geometric orifice area is unreliable. After the surgeon’s anticipation of VP–PM prior to AVR, the incidence of VP–PM could be reduced.</description><identifier>ISSN: 1355-6037</identifier><identifier>EISSN: 1468-201X</identifier><identifier>DOI: 10.1136/hrt.2006.102764</identifier><identifier>PMID: 17164480</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd and British Cardiovascular Society</publisher><subject>Aged ; Aortic Valve ; aortic valve replacement ; AVR ; Biological and medical sciences ; body surface area ; BSA ; Cardiology. Vascular system ; Carpentier–Edwards prosthesis ; CEP ; Cohort Studies ; effective orifice area ; effective orifice area index ; EOA ; EOAI ; Female ; geometric orifice area ; GOA ; Heart Valve Prosthesis ; Heart Valve Prosthesis Implantation - standards ; Humans ; left ventricular outflow tract ; LVOT ; Male ; Medical sciences ; Methods ; Mortality ; Patients ; Postoperative period ; Predictive Value of Tests ; Prospective Studies ; Prostheses ; Prosthesis Design ; Prosthesis Fitting - standards ; Studies ; valve prosthesis–patient mismatch ; Valvular Heart Disease ; VP–PM</subject><ispartof>Heart (British Cardiac Society), 2007-05, Vol.93 (5), p.615-620</ispartof><rights>Copyright 2007 by Heart</rights><rights>2007 INIST-CNRS</rights><rights>Copyright: 2007 Copyright 2007 by Heart</rights><rights>Copyright © 2007 BMJ Publishing Group and British Cardiovascular Society.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b588t-54f2ec0b8a31c983eab25dd1ce1a928952ac2930179b727d1c8fed39ef6184f73</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://heart.bmj.com/content/93/5/615.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://heart.bmj.com/content/93/5/615.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,230,314,723,776,780,881,3183,23550,27901,27902,53766,53768,77342,77373</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=18687523$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17164480$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bleiziffer, Sabine</creatorcontrib><creatorcontrib>Eichinger, Walter B</creatorcontrib><creatorcontrib>Hettich, Ina</creatorcontrib><creatorcontrib>Guenzinger, Ralf</creatorcontrib><creatorcontrib>Ruzicka, Daniel</creatorcontrib><creatorcontrib>Bauernschmitt, Robert</creatorcontrib><creatorcontrib>Lange, Ruediger</creatorcontrib><title>Prediction of valve prosthesis–patient mismatch prior to aortic valve replacement: which is the best method?</title><title>Heart (British Cardiac Society)</title><addtitle>Heart</addtitle><description>Background: To predict the occurrence of valve prosthesis–patient mismatch (VP–PM) after aortic valve replacement (AVR), the surgeon needs to estimate the postoperative effective orifice area index (EOAI). Aim: To compare different methods of predicting VP–PM. Methods: The effective orifice area (EOA) of 383 patients who had undergone AVR between July 2000 and January 2005 with various aortic valve prostheses was obtained echocardiographically 6 months after the operation. We tested the efficacy of (1) EOAI calculated from the echo data obtained in our own laboratory, (2) indexed geometric orifice area, (3) EOAI estimated from charts provided by prosthesis manufacturers (which are based either on in vitro or on echo data) and (4) EOAI estimated from reference echo data published in the literature to predict VP–PM. Results: Sensitivity and specificity to predict VP–PM were 53% and 83% (method 1), 80% and 53% (charts based on echo data, parts of method 3) and 71% and 67% (method 4) using reference data derived from echocardiographic examinations. The sensitivity of method 2 and of charts based on in vitro data (parts of method 3) to predict VP–PM was 0–17%. The incidence of severe VP–PM could be reduced from 8.7% to 0.8% after the introduction of the systematic estimation of the EOAI at the time of operation (p = 0.003, method 1). Conclusions: The best method of predicting VP–PM is the use of mean (SD) EOAs derived from echocardiographic examinations, whereas the use of in vitro data or the geometric orifice area is unreliable. After the surgeon’s anticipation of VP–PM prior to AVR, the incidence of VP–PM could be reduced.</description><subject>Aged</subject><subject>Aortic Valve</subject><subject>aortic valve replacement</subject><subject>AVR</subject><subject>Biological and medical sciences</subject><subject>body surface area</subject><subject>BSA</subject><subject>Cardiology. 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Vascular system</topic><topic>Carpentier–Edwards prosthesis</topic><topic>CEP</topic><topic>Cohort Studies</topic><topic>effective orifice area</topic><topic>effective orifice area index</topic><topic>EOA</topic><topic>EOAI</topic><topic>Female</topic><topic>geometric orifice area</topic><topic>GOA</topic><topic>Heart Valve Prosthesis</topic><topic>Heart Valve Prosthesis Implantation - standards</topic><topic>Humans</topic><topic>left ventricular outflow tract</topic><topic>LVOT</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Methods</topic><topic>Mortality</topic><topic>Patients</topic><topic>Postoperative period</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Prostheses</topic><topic>Prosthesis Design</topic><topic>Prosthesis Fitting - standards</topic><topic>Studies</topic><topic>valve prosthesis–patient mismatch</topic><topic>Valvular Heart Disease</topic><topic>VP–PM</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bleiziffer, Sabine</creatorcontrib><creatorcontrib>Eichinger, Walter B</creatorcontrib><creatorcontrib>Hettich, Ina</creatorcontrib><creatorcontrib>Guenzinger, Ralf</creatorcontrib><creatorcontrib>Ruzicka, Daniel</creatorcontrib><creatorcontrib>Bauernschmitt, Robert</creatorcontrib><creatorcontrib>Lange, Ruediger</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</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>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>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Heart (British Cardiac Society)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bleiziffer, Sabine</au><au>Eichinger, Walter B</au><au>Hettich, Ina</au><au>Guenzinger, Ralf</au><au>Ruzicka, Daniel</au><au>Bauernschmitt, Robert</au><au>Lange, Ruediger</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of valve prosthesis–patient mismatch prior to aortic valve replacement: which is the best method?</atitle><jtitle>Heart (British Cardiac Society)</jtitle><addtitle>Heart</addtitle><date>2007-05-01</date><risdate>2007</risdate><volume>93</volume><issue>5</issue><spage>615</spage><epage>620</epage><pages>615-620</pages><issn>1355-6037</issn><eissn>1468-201X</eissn><abstract>Background: To predict the occurrence of valve prosthesis–patient mismatch (VP–PM) after aortic valve replacement (AVR), the surgeon needs to estimate the postoperative effective orifice area index (EOAI). Aim: To compare different methods of predicting VP–PM. Methods: The effective orifice area (EOA) of 383 patients who had undergone AVR between July 2000 and January 2005 with various aortic valve prostheses was obtained echocardiographically 6 months after the operation. We tested the efficacy of (1) EOAI calculated from the echo data obtained in our own laboratory, (2) indexed geometric orifice area, (3) EOAI estimated from charts provided by prosthesis manufacturers (which are based either on in vitro or on echo data) and (4) EOAI estimated from reference echo data published in the literature to predict VP–PM. Results: Sensitivity and specificity to predict VP–PM were 53% and 83% (method 1), 80% and 53% (charts based on echo data, parts of method 3) and 71% and 67% (method 4) using reference data derived from echocardiographic examinations. The sensitivity of method 2 and of charts based on in vitro data (parts of method 3) to predict VP–PM was 0–17%. The incidence of severe VP–PM could be reduced from 8.7% to 0.8% after the introduction of the systematic estimation of the EOAI at the time of operation (p = 0.003, method 1). Conclusions: The best method of predicting VP–PM is the use of mean (SD) EOAs derived from echocardiographic examinations, whereas the use of in vitro data or the geometric orifice area is unreliable. After the surgeon’s anticipation of VP–PM prior to AVR, the incidence of VP–PM could be reduced.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd and British Cardiovascular Society</pub><pmid>17164480</pmid><doi>10.1136/hrt.2006.102764</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Aged
Aortic Valve
aortic valve replacement
AVR
Biological and medical sciences
body surface area
BSA
Cardiology. Vascular system
Carpentier–Edwards prosthesis
CEP
Cohort Studies
effective orifice area
effective orifice area index
EOA
EOAI
Female
geometric orifice area
GOA
Heart Valve Prosthesis
Heart Valve Prosthesis Implantation - standards
Humans
left ventricular outflow tract
LVOT
Male
Medical sciences
Methods
Mortality
Patients
Postoperative period
Predictive Value of Tests
Prospective Studies
Prostheses
Prosthesis Design
Prosthesis Fitting - standards
Studies
valve prosthesis–patient mismatch
Valvular Heart Disease
VP–PM
title Prediction of valve prosthesis–patient mismatch prior to aortic valve replacement: which is the best method?
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