Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:The American heart journal 2024-09, Vol.275, p.108-118
Main Authors: 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
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c333t-625f2520ca45a74f6dade2c5e9bc21129ddc1e43f7a14504e773e9bc305c10d43
container_end_page 118
container_issue
container_start_page 108
container_title The American heart journal
container_volume 275
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
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3065982769</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0002870324001431</els_id><sourcerecordid>3093527935</sourcerecordid><originalsourceid>FETCH-LOGICAL-c333t-625f2520ca45a74f6dade2c5e9bc21129ddc1e43f7a14504e773e9bc305c10d43</originalsourceid><addsrcrecordid>eNp9kT1uFDEYhi0EIpvAAWiQJRqaGfw7P1BFUQKRIkEBteXYnzceZuzFnllpOo7ACTgcJ8GbDRQUNLYsP-_rT34QekFJTQlt3gy1vhtqRpioiawJo4_QhpK-rZpWiMdoQwhhVdcSfoJOcx7KsWFd8xSd8K4TXd_JDfr5KYH1ZvYx4OgwJ7--_7B6xVNMsx79vGLtZkg4L2kLacUuJuyDg5LYA4Zgo9HJ-tlnvGQftjj5_BVnExPkt_g6ZL-9mzN2KU5Y48slxR3ogKdlnL2BcKg2cdrppO8L9-VNq--nyfNi12foidNjhucP-xn6cnX5-eJDdfPx_fXF-U1lOOdz1TDpmGTEaCF1K1xjtQVmJPS3hlHKemsNBcFdq6mQREDb8sMdJ9JQYgU_Q6-PvbsUvy2QZzX5bGAcdYC4ZMVJI_uOtU1f0Ff_oENcUijTFarnkrVlKRQ9UibFnBM4tUt-0mlVlKiDPDWoIk8d5CkiVZFXMi8fmpfbCezfxB9bBXh3BKB8xd5DUtl4CKYYTMWIstH_p_43NbKuVw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3093527935</pqid></control><display><type>article</type><title>Prediction of 30‐day mortality after surgery for infective endocarditis using risk scores: Insights from a European multicenter comparative validation study</title><source>ScienceDirect Freedom Collection 2022-2024</source><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</creator><creatorcontrib>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</creatorcontrib><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><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 &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; 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 &amp; Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health &amp; Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health &amp; 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>
fulltext fulltext
identifier ISSN: 0002-8703
ispartof The American heart journal, 2024-09, Vol.275, p.108-118
issn 0002-8703
1097-6744
1097-6744
language eng
recordid cdi_proquest_miscellaneous_3065982769
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-26T18%3A33%3A49IST&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=Prediction%20of%2030%E2%80%90day%20mortality%20after%20surgery%20for%20infective%20endocarditis%20using%20risk%20scores:%20Insights%20from%20a%20European%20multicenter%20comparative%20validation%20study&rft.jtitle=The%20American%20heart%20journal&rft.au=Gatti,%20Giuseppe&rft.date=2024-09&rft.volume=275&rft.spage=108&rft.epage=118&rft.pages=108-118&rft.issn=0002-8703&rft.eissn=1097-6744&rft_id=info:doi/10.1016/j.ahj.2024.05.021&rft_dat=%3Cproquest_cross%3E3093527935%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c333t-625f2520ca45a74f6dade2c5e9bc21129ddc1e43f7a14504e773e9bc305c10d43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3093527935&rft_id=info:pmid/38848985&rfr_iscdi=true