The EuroSCORE and a local model consistently predicted coronary surgery mortality and showed complementary properties
Abstract Objective To revalidate a local model for prediction of in-hospital mortality after coronary surgery several years after its introduction and the EuroSCORE in a specific area within its original scope. To assess the specific advantages of one type of instrument over the other in a definite...
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description | Abstract Objective To revalidate a local model for prediction of in-hospital mortality after coronary surgery several years after its introduction and the EuroSCORE in a specific area within its original scope. To assess the specific advantages of one type of instrument over the other in a definite context. Study Design and Setting Data from consecutive patients undergoing a first isolated coronary artery bypass between November 2001 and November 2003 in five hospitals in Catalonia were prospectively collected. Results The study included 1,605 patients. Areas under the receiver-operating characteristics curves were around 0.75 for both models. Calibration was low for both models and the local model significantly overestimated risk. The ordering of operating centers by performance was identical with each strategy but the centers labeled as outliers differed. Conclusion (1) Evaluation of performance of individual hospitals was consistent using both systems and almost identical when they were internally recalibrated, (2) The impact of the benchmark population characteristics on model performance may be greater than that of risk factors considered for score calculation, (3) Promoting the use of a widely used instrument as the EuroSCORE might be sufficient for most evaluations. Local scales can be useful to highlight locally relevant features and temporal trends. |
doi_str_mv | 10.1016/j.jclinepi.2006.10.025 |
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To assess the specific advantages of one type of instrument over the other in a definite context. Study Design and Setting Data from consecutive patients undergoing a first isolated coronary artery bypass between November 2001 and November 2003 in five hospitals in Catalonia were prospectively collected. Results The study included 1,605 patients. Areas under the receiver-operating characteristics curves were around 0.75 for both models. Calibration was low for both models and the local model significantly overestimated risk. The ordering of operating centers by performance was identical with each strategy but the centers labeled as outliers differed. Conclusion (1) Evaluation of performance of individual hospitals was consistent using both systems and almost identical when they were internally recalibrated, (2) The impact of the benchmark population characteristics on model performance may be greater than that of risk factors considered for score calculation, (3) Promoting the use of a widely used instrument as the EuroSCORE might be sufficient for most evaluations. Local scales can be useful to highlight locally relevant features and temporal trends.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/j.jclinepi.2006.10.025</identifier><identifier>PMID: 18538261</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Acute coronary syndromes ; Advantages ; Aged ; Aged, 80 and over ; Area Under Curve ; Biological and medical sciences ; Cardiology. Vascular system ; Coronary Artery Bypass - mortality ; Coronary artery surgery ; Coronary heart disease ; Data collection ; Data Collection - methods ; Epidemiology ; EuroSCORE ; Health Status Indicators ; Heart ; Hospital Mortality ; Hospitals ; Humans ; Internal Medicine ; Logistics ; Medical sciences ; Methods ; Models, Cardiovascular ; Models, Statistical ; Mortality ; Population characteristics ; Prognosis ; Prospective Studies ; Risk assessment ; Risk Assessment - methods ; Risk factors ; Studies ; Surgery ; Surgical risk ; Technological change ; Validity ; Variables ; Veins & arteries</subject><ispartof>Journal of clinical epidemiology, 2008-07, Vol.61 (7), p.663-670</ispartof><rights>Elsevier Inc.</rights><rights>2008 Elsevier Inc.</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c479t-27f1effc903e88551cbc06f35fe1b4833b9807b45c41d2873b890694cded4f523</citedby><cites>FETCH-LOGICAL-c479t-27f1effc903e88551cbc06f35fe1b4833b9807b45c41d2873b890694cded4f523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S089543560700426X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20457530$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18538261$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ribera, Aida</creatorcontrib><creatorcontrib>Ferreira-Gonzalez, Ignacio</creatorcontrib><creatorcontrib>Cascant, Purificació</creatorcontrib><creatorcontrib>Pons, Joan M.V</creatorcontrib><creatorcontrib>Permanyer-Miralda, Gaietà</creatorcontrib><creatorcontrib>for the ARCA Study group investigators</creatorcontrib><creatorcontrib>ARCA Study group investigators</creatorcontrib><title>The EuroSCORE and a local model consistently predicted coronary surgery mortality and showed complementary properties</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>Abstract Objective To revalidate a local model for prediction of in-hospital mortality after coronary surgery several years after its introduction and the EuroSCORE in a specific area within its original scope. To assess the specific advantages of one type of instrument over the other in a definite context. Study Design and Setting Data from consecutive patients undergoing a first isolated coronary artery bypass between November 2001 and November 2003 in five hospitals in Catalonia were prospectively collected. Results The study included 1,605 patients. Areas under the receiver-operating characteristics curves were around 0.75 for both models. Calibration was low for both models and the local model significantly overestimated risk. The ordering of operating centers by performance was identical with each strategy but the centers labeled as outliers differed. Conclusion (1) Evaluation of performance of individual hospitals was consistent using both systems and almost identical when they were internally recalibrated, (2) The impact of the benchmark population characteristics on model performance may be greater than that of risk factors considered for score calculation, (3) Promoting the use of a widely used instrument as the EuroSCORE might be sufficient for most evaluations. Local scales can be useful to highlight locally relevant features and temporal trends.</description><subject>Acute coronary syndromes</subject><subject>Advantages</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Area Under Curve</subject><subject>Biological and medical sciences</subject><subject>Cardiology. Vascular system</subject><subject>Coronary Artery Bypass - mortality</subject><subject>Coronary artery surgery</subject><subject>Coronary heart disease</subject><subject>Data collection</subject><subject>Data Collection - methods</subject><subject>Epidemiology</subject><subject>EuroSCORE</subject><subject>Health Status Indicators</subject><subject>Heart</subject><subject>Hospital Mortality</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Logistics</subject><subject>Medical sciences</subject><subject>Methods</subject><subject>Models, Cardiovascular</subject><subject>Models, Statistical</subject><subject>Mortality</subject><subject>Population characteristics</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Risk assessment</subject><subject>Risk Assessment - methods</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Surgery</subject><subject>Surgical risk</subject><subject>Technological change</subject><subject>Validity</subject><subject>Variables</subject><subject>Veins & arteries</subject><issn>0895-4356</issn><issn>1878-5921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkl2L1DAUhoMo7rj6F5aC6F3HfCe9EWUYP2BhwV3Bu9Cmp25q2tSkVebfm-6MLuyNVwcOz3nPx3sQuiB4SzCRb_ptb70bYXJbirHMyS2m4hHaEK10KSpKHqMN1pUoORPyDD1LqceYKKzEU3RGtGCaSrJBy80tFPslhuvd1Zd9UY9tURc-2NoXQ2jBFzaMyaUZxtkfiilC6-wMbU7HMNbxUKQlfocchxDn2rv5cKeRbsPvO2qYPAy5eEWnGCaIs4P0HD3pap_gxSmeo68f9je7T-Xl1cfPu_eXpeWqmkuqOgJdZyvMQGshiG0slh0THZCGa8aaSmPVcGE5aalWrNEVlhW3LbS8E5Sdo9dH3dz65wJpNoNLFryvRwhLMopIoQSXGXz5AOzDEsc8myGYMaKrivJMySNlY0gpQmem6Ia8WobMaovpzV9bzGrLms-25MKLk_zSDNDel518yMCrE1CnfPsu1qN16R9HMc9zMpy5d0cO8tV-OYgmWQejzbZEsLNpg_v_LG8fSKyUy11_wAHS_d4mUYPN9fpE6w9hhTGn8hv7Ay3nxQ8</recordid><startdate>20080701</startdate><enddate>20080701</enddate><creator>Ribera, Aida</creator><creator>Ferreira-Gonzalez, Ignacio</creator><creator>Cascant, Purificació</creator><creator>Pons, Joan M.V</creator><creator>Permanyer-Miralda, Gaietà</creator><general>Elsevier Inc</general><general>Elsevier</general><general>Elsevier Limited</general><scope>IQODW</scope><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>7QL</scope><scope>7QP</scope><scope>7RV</scope><scope>7T2</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</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>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20080701</creationdate><title>The EuroSCORE and a local model consistently predicted coronary surgery mortality and showed complementary properties</title><author>Ribera, Aida ; Ferreira-Gonzalez, Ignacio ; Cascant, Purificació ; Pons, Joan M.V ; Permanyer-Miralda, Gaietà</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c479t-27f1effc903e88551cbc06f35fe1b4833b9807b45c41d2873b890694cded4f523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acute coronary syndromes</topic><topic>Advantages</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Biological and medical sciences</topic><topic>Cardiology. Vascular system</topic><topic>Coronary Artery Bypass - mortality</topic><topic>Coronary artery surgery</topic><topic>Coronary heart disease</topic><topic>Data collection</topic><topic>Data Collection - methods</topic><topic>Epidemiology</topic><topic>EuroSCORE</topic><topic>Health Status Indicators</topic><topic>Heart</topic><topic>Hospital Mortality</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Logistics</topic><topic>Medical sciences</topic><topic>Methods</topic><topic>Models, Cardiovascular</topic><topic>Models, Statistical</topic><topic>Mortality</topic><topic>Population characteristics</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Risk assessment</topic><topic>Risk Assessment - methods</topic><topic>Risk factors</topic><topic>Studies</topic><topic>Surgery</topic><topic>Surgical risk</topic><topic>Technological change</topic><topic>Validity</topic><topic>Variables</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ribera, Aida</creatorcontrib><creatorcontrib>Ferreira-Gonzalez, Ignacio</creatorcontrib><creatorcontrib>Cascant, Purificació</creatorcontrib><creatorcontrib>Pons, Joan M.V</creatorcontrib><creatorcontrib>Permanyer-Miralda, Gaietà</creatorcontrib><creatorcontrib>for the ARCA Study group investigators</creatorcontrib><creatorcontrib>ARCA Study group investigators</creatorcontrib><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>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>AIDS and Cancer Research Abstracts</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>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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 Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ribera, Aida</au><au>Ferreira-Gonzalez, Ignacio</au><au>Cascant, Purificació</au><au>Pons, Joan M.V</au><au>Permanyer-Miralda, Gaietà</au><aucorp>for the ARCA Study group investigators</aucorp><aucorp>ARCA Study group investigators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The EuroSCORE and a local model consistently predicted coronary surgery mortality and showed complementary properties</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2008-07-01</date><risdate>2008</risdate><volume>61</volume><issue>7</issue><spage>663</spage><epage>670</epage><pages>663-670</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><abstract>Abstract Objective To revalidate a local model for prediction of in-hospital mortality after coronary surgery several years after its introduction and the EuroSCORE in a specific area within its original scope. To assess the specific advantages of one type of instrument over the other in a definite context. Study Design and Setting Data from consecutive patients undergoing a first isolated coronary artery bypass between November 2001 and November 2003 in five hospitals in Catalonia were prospectively collected. Results The study included 1,605 patients. Areas under the receiver-operating characteristics curves were around 0.75 for both models. Calibration was low for both models and the local model significantly overestimated risk. The ordering of operating centers by performance was identical with each strategy but the centers labeled as outliers differed. Conclusion (1) Evaluation of performance of individual hospitals was consistent using both systems and almost identical when they were internally recalibrated, (2) The impact of the benchmark population characteristics on model performance may be greater than that of risk factors considered for score calculation, (3) Promoting the use of a widely used instrument as the EuroSCORE might be sufficient for most evaluations. Local scales can be useful to highlight locally relevant features and temporal trends.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>18538261</pmid><doi>10.1016/j.jclinepi.2006.10.025</doi><tpages>8</tpages></addata></record> |
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subjects | Acute coronary syndromes Advantages Aged Aged, 80 and over Area Under Curve Biological and medical sciences Cardiology. Vascular system Coronary Artery Bypass - mortality Coronary artery surgery Coronary heart disease Data collection Data Collection - methods Epidemiology EuroSCORE Health Status Indicators Heart Hospital Mortality Hospitals Humans Internal Medicine Logistics Medical sciences Methods Models, Cardiovascular Models, Statistical Mortality Population characteristics Prognosis Prospective Studies Risk assessment Risk Assessment - methods Risk factors Studies Surgery Surgical risk Technological change Validity Variables Veins & arteries |
title | The EuroSCORE and a local model consistently predicted coronary surgery mortality and showed complementary properties |
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