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Prediction of 30‐day mortality after surgery for infective endocarditis using risk scores: Insights from a European multicenter comparative validation study
It remains unclear today whether risk scores created specifically to predict early mortality after cardiac operations for infective endocarditis (IE) outperform or not the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II). Perioperative data and outcomes from a European multice...
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Published in: | The American heart journal 2024-09, Vol.275, p.108-118 |
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creator | Gatti, Giuseppe Fiore, Antonio Ismail, Maria Dralov, Andriy Saade, Wael Costantino, Venera Barbati, Giulia Lim, Pascal Lepeule, Raphael Franzese, Ilaria Minati, Alessandro Sponga, Sandro Fabris, Enrico Luzzati, Roberto Sinagra, Gianfranco Biondi-Zoccai, Giuseppe Frati, Giacomo Perrotti, Andrea Vendramin, Igor Mazzaro, Enzo |
description | It remains unclear today whether risk scores created specifically to predict early mortality after cardiac operations for infective endocarditis (IE) outperform or not the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II).
Perioperative data and outcomes from a European multicenter series of patients undergoing surgery for definite IE were retrospectively reviewed. Only the cases with known pathogen and without missing values for all considered variables were retained for analyses. A comparative validation of EuroSCORE II and 5 specific risk scores for early mortality after surgery for IE—(1) STS-IE (Society of Thoracic Surgeons for IE); (2) PALSUSE (Prosthetic valve, Age ≥70, Large intracardiac destruction, Staphylococcus spp, Urgent surgery, Sex (female), EuroSCORE ≥10); (3) ANCLA (Anemia, New York Heart Association class IV, Critical state, Large intracardiac destruction, surgery on thoracic Aorta); (4) AEPEI II (Association pour l’Étude et la Prévention de l'Endocardite Infectieuse II); (5) APORTEI (Análisis de los factores PROnósticos en el Tratamiento quirúrgico de la Endocarditis Infecciosa)—was carried out using calibration plot and receiver-operating characteristic curve analysis. Areas under the curve (AUCs) were compared 1:1 according to the Hanley–McNeil's method. The agreement between APORTEI score and EuroSCORE II of the 30-day mortality prediction after surgery was also appraised.
A total of 1,012 patients from 5 European university-affiliated centers underwent 1,036 cardiac operations, with a 30-day mortality after surgery of 9.7%. All IE-specific risk scores considered achieved better results than EuroSCORE II in terms of calibration; AEPEI II and APORTEI score showed the best performances. Despite poor calibration, EuroSCORE II overcame in discrimination every specific risk score (AUC, 0.751 vs 0.693 or less, P = .01 or less). For a higher/lesser than 20% expected mortality, the agreement of prediction between APORTEI score and EuroSCORE II was 86%.
EuroSCORE II discrimination for 30-day mortality after surgery for IE was higher than 5 established IE-specific risk scores. AEPEI II and APORTEI score showed the best results in terms of calibration.
[Display omitted] |
doi_str_mv | 10.1016/j.ahj.2024.05.021 |
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Perioperative data and outcomes from a European multicenter series of patients undergoing surgery for definite IE were retrospectively reviewed. Only the cases with known pathogen and without missing values for all considered variables were retained for analyses. A comparative validation of EuroSCORE II and 5 specific risk scores for early mortality after surgery for IE—(1) STS-IE (Society of Thoracic Surgeons for IE); (2) PALSUSE (Prosthetic valve, Age ≥70, Large intracardiac destruction, Staphylococcus spp, Urgent surgery, Sex (female), EuroSCORE ≥10); (3) ANCLA (Anemia, New York Heart Association class IV, Critical state, Large intracardiac destruction, surgery on thoracic Aorta); (4) AEPEI II (Association pour l’Étude et la Prévention de l'Endocardite Infectieuse II); (5) APORTEI (Análisis de los factores PROnósticos en el Tratamiento quirúrgico de la Endocarditis Infecciosa)—was carried out using calibration plot and receiver-operating characteristic curve analysis. Areas under the curve (AUCs) were compared 1:1 according to the Hanley–McNeil's method. The agreement between APORTEI score and EuroSCORE II of the 30-day mortality prediction after surgery was also appraised.
A total of 1,012 patients from 5 European university-affiliated centers underwent 1,036 cardiac operations, with a 30-day mortality after surgery of 9.7%. All IE-specific risk scores considered achieved better results than EuroSCORE II in terms of calibration; AEPEI II and APORTEI score showed the best performances. Despite poor calibration, EuroSCORE II overcame in discrimination every specific risk score (AUC, 0.751 vs 0.693 or less, P = .01 or less). For a higher/lesser than 20% expected mortality, the agreement of prediction between APORTEI score and EuroSCORE II was 86%.
EuroSCORE II discrimination for 30-day mortality after surgery for IE was higher than 5 established IE-specific risk scores. AEPEI II and APORTEI score showed the best results in terms of calibration.
[Display omitted]</description><identifier>ISSN: 0002-8703</identifier><identifier>ISSN: 1097-6744</identifier><identifier>EISSN: 1097-6744</identifier><identifier>DOI: 10.1016/j.ahj.2024.05.021</identifier><identifier>PMID: 38848985</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Accuracy ; Aged ; Anemia ; Aorta ; Calibration ; Cardiac Surgical Procedures - mortality ; Discrimination ; Endocarditis ; Endocarditis - mortality ; Endocarditis - surgery ; Europe - epidemiology ; Expected values ; Female ; Heart ; Heart surgery ; Hospitals ; Humans ; Male ; Methods ; Middle Aged ; Mortality ; Patients ; Predictions ; Prognosis ; Prostheses ; Regression analysis ; Retrospective Studies ; Risk Assessment - methods ; Risk Factors ; ROC Curve ; Surgery ; Thorax ; Time Factors ; Validation studies ; Variables</subject><ispartof>The American heart journal, 2024-09, Vol.275, p.108-118</ispartof><rights>2024 Elsevier Inc.</rights><rights>Copyright © 2024 Elsevier Inc. All rights reserved.</rights><rights>2024. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c333t-625f2520ca45a74f6dade2c5e9bc21129ddc1e43f7a14504e773e9bc305c10d43</cites><orcidid>0000-0002-9996-6133</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27898,27899</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38848985$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gatti, Giuseppe</creatorcontrib><creatorcontrib>Fiore, Antonio</creatorcontrib><creatorcontrib>Ismail, Maria</creatorcontrib><creatorcontrib>Dralov, Andriy</creatorcontrib><creatorcontrib>Saade, Wael</creatorcontrib><creatorcontrib>Costantino, Venera</creatorcontrib><creatorcontrib>Barbati, Giulia</creatorcontrib><creatorcontrib>Lim, Pascal</creatorcontrib><creatorcontrib>Lepeule, Raphael</creatorcontrib><creatorcontrib>Franzese, Ilaria</creatorcontrib><creatorcontrib>Minati, Alessandro</creatorcontrib><creatorcontrib>Sponga, Sandro</creatorcontrib><creatorcontrib>Fabris, Enrico</creatorcontrib><creatorcontrib>Luzzati, Roberto</creatorcontrib><creatorcontrib>Sinagra, Gianfranco</creatorcontrib><creatorcontrib>Biondi-Zoccai, Giuseppe</creatorcontrib><creatorcontrib>Frati, Giacomo</creatorcontrib><creatorcontrib>Perrotti, Andrea</creatorcontrib><creatorcontrib>Vendramin, Igor</creatorcontrib><creatorcontrib>Mazzaro, Enzo</creatorcontrib><title>Prediction of 30‐day mortality after surgery for infective endocarditis using risk scores: Insights from a European multicenter comparative validation study</title><title>The American heart journal</title><addtitle>Am Heart J</addtitle><description>It remains unclear today whether risk scores created specifically to predict early mortality after cardiac operations for infective endocarditis (IE) outperform or not the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II).
Perioperative data and outcomes from a European multicenter series of patients undergoing surgery for definite IE were retrospectively reviewed. Only the cases with known pathogen and without missing values for all considered variables were retained for analyses. A comparative validation of EuroSCORE II and 5 specific risk scores for early mortality after surgery for IE—(1) STS-IE (Society of Thoracic Surgeons for IE); (2) PALSUSE (Prosthetic valve, Age ≥70, Large intracardiac destruction, Staphylococcus spp, Urgent surgery, Sex (female), EuroSCORE ≥10); (3) ANCLA (Anemia, New York Heart Association class IV, Critical state, Large intracardiac destruction, surgery on thoracic Aorta); (4) AEPEI II (Association pour l’Étude et la Prévention de l'Endocardite Infectieuse II); (5) APORTEI (Análisis de los factores PROnósticos en el Tratamiento quirúrgico de la Endocarditis Infecciosa)—was carried out using calibration plot and receiver-operating characteristic curve analysis. Areas under the curve (AUCs) were compared 1:1 according to the Hanley–McNeil's method. The agreement between APORTEI score and EuroSCORE II of the 30-day mortality prediction after surgery was also appraised.
A total of 1,012 patients from 5 European university-affiliated centers underwent 1,036 cardiac operations, with a 30-day mortality after surgery of 9.7%. All IE-specific risk scores considered achieved better results than EuroSCORE II in terms of calibration; AEPEI II and APORTEI score showed the best performances. Despite poor calibration, EuroSCORE II overcame in discrimination every specific risk score (AUC, 0.751 vs 0.693 or less, P = .01 or less). For a higher/lesser than 20% expected mortality, the agreement of prediction between APORTEI score and EuroSCORE II was 86%.
EuroSCORE II discrimination for 30-day mortality after surgery for IE was higher than 5 established IE-specific risk scores. AEPEI II and APORTEI score showed the best results in terms of calibration.
[Display omitted]</description><subject>Accuracy</subject><subject>Aged</subject><subject>Anemia</subject><subject>Aorta</subject><subject>Calibration</subject><subject>Cardiac Surgical Procedures - mortality</subject><subject>Discrimination</subject><subject>Endocarditis</subject><subject>Endocarditis - mortality</subject><subject>Endocarditis - surgery</subject><subject>Europe - epidemiology</subject><subject>Expected values</subject><subject>Female</subject><subject>Heart</subject><subject>Heart surgery</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Male</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Patients</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Prostheses</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Surgery</subject><subject>Thorax</subject><subject>Time Factors</subject><subject>Validation studies</subject><subject>Variables</subject><issn>0002-8703</issn><issn>1097-6744</issn><issn>1097-6744</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kT1uFDEYhi0EIpvAAWiQJRqaGfw7P1BFUQKRIkEBteXYnzceZuzFnllpOo7ACTgcJ8GbDRQUNLYsP-_rT34QekFJTQlt3gy1vhtqRpioiawJo4_QhpK-rZpWiMdoQwhhVdcSfoJOcx7KsWFd8xSd8K4TXd_JDfr5KYH1ZvYx4OgwJ7--_7B6xVNMsx79vGLtZkg4L2kLacUuJuyDg5LYA4Zgo9HJ-tlnvGQftjj5_BVnExPkt_g6ZL-9mzN2KU5Y48slxR3ogKdlnL2BcKg2cdrppO8L9-VNq--nyfNi12foidNjhucP-xn6cnX5-eJDdfPx_fXF-U1lOOdz1TDpmGTEaCF1K1xjtQVmJPS3hlHKemsNBcFdq6mQREDb8sMdJ9JQYgU_Q6-PvbsUvy2QZzX5bGAcdYC4ZMVJI_uOtU1f0Ff_oENcUijTFarnkrVlKRQ9UibFnBM4tUt-0mlVlKiDPDWoIk8d5CkiVZFXMi8fmpfbCezfxB9bBXh3BKB8xd5DUtl4CKYYTMWIstH_p_43NbKuVw</recordid><startdate>202409</startdate><enddate>202409</enddate><creator>Gatti, Giuseppe</creator><creator>Fiore, Antonio</creator><creator>Ismail, Maria</creator><creator>Dralov, Andriy</creator><creator>Saade, Wael</creator><creator>Costantino, Venera</creator><creator>Barbati, Giulia</creator><creator>Lim, Pascal</creator><creator>Lepeule, Raphael</creator><creator>Franzese, Ilaria</creator><creator>Minati, Alessandro</creator><creator>Sponga, Sandro</creator><creator>Fabris, Enrico</creator><creator>Luzzati, Roberto</creator><creator>Sinagra, Gianfranco</creator><creator>Biondi-Zoccai, Giuseppe</creator><creator>Frati, Giacomo</creator><creator>Perrotti, Andrea</creator><creator>Vendramin, Igor</creator><creator>Mazzaro, Enzo</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9996-6133</orcidid></search><sort><creationdate>202409</creationdate><title>Prediction of 30‐day mortality after surgery for infective endocarditis using risk scores: Insights from a European multicenter comparative validation study</title><author>Gatti, Giuseppe ; Fiore, Antonio ; Ismail, Maria ; Dralov, Andriy ; Saade, Wael ; Costantino, Venera ; Barbati, Giulia ; Lim, Pascal ; Lepeule, Raphael ; Franzese, Ilaria ; Minati, Alessandro ; Sponga, Sandro ; Fabris, Enrico ; Luzzati, Roberto ; Sinagra, Gianfranco ; Biondi-Zoccai, Giuseppe ; Frati, Giacomo ; Perrotti, Andrea ; Vendramin, Igor ; Mazzaro, Enzo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-625f2520ca45a74f6dade2c5e9bc21129ddc1e43f7a14504e773e9bc305c10d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Aged</topic><topic>Anemia</topic><topic>Aorta</topic><topic>Calibration</topic><topic>Cardiac Surgical Procedures - mortality</topic><topic>Discrimination</topic><topic>Endocarditis</topic><topic>Endocarditis - mortality</topic><topic>Endocarditis - surgery</topic><topic>Europe - epidemiology</topic><topic>Expected values</topic><topic>Female</topic><topic>Heart</topic><topic>Heart surgery</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Male</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Patients</topic><topic>Predictions</topic><topic>Prognosis</topic><topic>Prostheses</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Surgery</topic><topic>Thorax</topic><topic>Time Factors</topic><topic>Validation studies</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gatti, Giuseppe</creatorcontrib><creatorcontrib>Fiore, Antonio</creatorcontrib><creatorcontrib>Ismail, Maria</creatorcontrib><creatorcontrib>Dralov, Andriy</creatorcontrib><creatorcontrib>Saade, Wael</creatorcontrib><creatorcontrib>Costantino, Venera</creatorcontrib><creatorcontrib>Barbati, Giulia</creatorcontrib><creatorcontrib>Lim, Pascal</creatorcontrib><creatorcontrib>Lepeule, Raphael</creatorcontrib><creatorcontrib>Franzese, Ilaria</creatorcontrib><creatorcontrib>Minati, Alessandro</creatorcontrib><creatorcontrib>Sponga, Sandro</creatorcontrib><creatorcontrib>Fabris, Enrico</creatorcontrib><creatorcontrib>Luzzati, Roberto</creatorcontrib><creatorcontrib>Sinagra, Gianfranco</creatorcontrib><creatorcontrib>Biondi-Zoccai, Giuseppe</creatorcontrib><creatorcontrib>Frati, Giacomo</creatorcontrib><creatorcontrib>Perrotti, Andrea</creatorcontrib><creatorcontrib>Vendramin, Igor</creatorcontrib><creatorcontrib>Mazzaro, Enzo</creatorcontrib><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>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research 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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</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>The American heart journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gatti, Giuseppe</au><au>Fiore, Antonio</au><au>Ismail, Maria</au><au>Dralov, Andriy</au><au>Saade, Wael</au><au>Costantino, Venera</au><au>Barbati, Giulia</au><au>Lim, Pascal</au><au>Lepeule, Raphael</au><au>Franzese, Ilaria</au><au>Minati, Alessandro</au><au>Sponga, Sandro</au><au>Fabris, Enrico</au><au>Luzzati, Roberto</au><au>Sinagra, Gianfranco</au><au>Biondi-Zoccai, Giuseppe</au><au>Frati, Giacomo</au><au>Perrotti, Andrea</au><au>Vendramin, Igor</au><au>Mazzaro, Enzo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of 30‐day mortality after surgery for infective endocarditis using risk scores: Insights from a European multicenter comparative validation study</atitle><jtitle>The American heart journal</jtitle><addtitle>Am Heart J</addtitle><date>2024-09</date><risdate>2024</risdate><volume>275</volume><spage>108</spage><epage>118</epage><pages>108-118</pages><issn>0002-8703</issn><issn>1097-6744</issn><eissn>1097-6744</eissn><abstract>It remains unclear today whether risk scores created specifically to predict early mortality after cardiac operations for infective endocarditis (IE) outperform or not the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II).
Perioperative data and outcomes from a European multicenter series of patients undergoing surgery for definite IE were retrospectively reviewed. Only the cases with known pathogen and without missing values for all considered variables were retained for analyses. A comparative validation of EuroSCORE II and 5 specific risk scores for early mortality after surgery for IE—(1) STS-IE (Society of Thoracic Surgeons for IE); (2) PALSUSE (Prosthetic valve, Age ≥70, Large intracardiac destruction, Staphylococcus spp, Urgent surgery, Sex (female), EuroSCORE ≥10); (3) ANCLA (Anemia, New York Heart Association class IV, Critical state, Large intracardiac destruction, surgery on thoracic Aorta); (4) AEPEI II (Association pour l’Étude et la Prévention de l'Endocardite Infectieuse II); (5) APORTEI (Análisis de los factores PROnósticos en el Tratamiento quirúrgico de la Endocarditis Infecciosa)—was carried out using calibration plot and receiver-operating characteristic curve analysis. Areas under the curve (AUCs) were compared 1:1 according to the Hanley–McNeil's method. The agreement between APORTEI score and EuroSCORE II of the 30-day mortality prediction after surgery was also appraised.
A total of 1,012 patients from 5 European university-affiliated centers underwent 1,036 cardiac operations, with a 30-day mortality after surgery of 9.7%. All IE-specific risk scores considered achieved better results than EuroSCORE II in terms of calibration; AEPEI II and APORTEI score showed the best performances. Despite poor calibration, EuroSCORE II overcame in discrimination every specific risk score (AUC, 0.751 vs 0.693 or less, P = .01 or less). For a higher/lesser than 20% expected mortality, the agreement of prediction between APORTEI score and EuroSCORE II was 86%.
EuroSCORE II discrimination for 30-day mortality after surgery for IE was higher than 5 established IE-specific risk scores. AEPEI II and APORTEI score showed the best results in terms of calibration.
[Display omitted]</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>38848985</pmid><doi>10.1016/j.ahj.2024.05.021</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-9996-6133</orcidid></addata></record> |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Accuracy Aged Anemia Aorta Calibration Cardiac Surgical Procedures - mortality Discrimination Endocarditis Endocarditis - mortality Endocarditis - surgery Europe - epidemiology Expected values Female Heart Heart surgery Hospitals Humans Male Methods Middle Aged Mortality Patients Predictions Prognosis Prostheses Regression analysis Retrospective Studies Risk Assessment - methods Risk Factors ROC Curve Surgery Thorax Time Factors Validation studies Variables |
title | Prediction of 30‐day mortality after surgery for infective endocarditis using risk scores: Insights from a European multicenter comparative validation study |
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