The Society of Thoracic Surgeons 2008 Cardiac Surgery Risk Models: Part 1—Coronary Artery Bypass Grafting Surgery

Background The first version of The Society of Thoracic Surgeons National Adult Cardiac Surgery Database (STS NCD) was developed nearly 2 decades ago. Since its inception, the number of participants has grown dramatically, patient acuity has increased, and overall outcomes have consistently improved...

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Veröffentlicht in:The Annals of thoracic surgery 2009-07, Vol.88 (1), p.S2-S22
Hauptverfasser: Shahian, David M., MD, O'Brien, Sean M., PhD, Filardo, Giovanni, PhD, MPH, Ferraris, Victor A., MD, Haan, Constance K., MD, Rich, Jeffrey B., MD, Normand, Sharon-Lise T., PhD, DeLong, Elizabeth R., PhD, Shewan, Cynthia M., PhD, Dokholyan, Rachel S., MPH, Peterson, Eric D., MD, MPH, Edwards, Fred H., MD, Anderson, Richard P., MD
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container_end_page S22
container_issue 1
container_start_page S2
container_title The Annals of thoracic surgery
container_volume 88
creator Shahian, David M., MD
O'Brien, Sean M., PhD
Filardo, Giovanni, PhD, MPH
Ferraris, Victor A., MD
Haan, Constance K., MD
Rich, Jeffrey B., MD
Normand, Sharon-Lise T., PhD
DeLong, Elizabeth R., PhD
Shewan, Cynthia M., PhD
Dokholyan, Rachel S., MPH
Peterson, Eric D., MD, MPH
Edwards, Fred H., MD
Anderson, Richard P., MD
description Background The first version of The Society of Thoracic Surgeons National Adult Cardiac Surgery Database (STS NCD) was developed nearly 2 decades ago. Since its inception, the number of participants has grown dramatically, patient acuity has increased, and overall outcomes have consistently improved. To adjust for these and other changes, all STS risk models have undergone periodic revisions. This report provides a detailed description of the 2008 STS risk model for coronary artery bypass grafting surgery (CABG). Methods The study population consisted of 774,881 isolated CABG procedures performed on adult patients aged 20 to 100 years between January 1, 2002, and December 31, 2006, at 819 STS NCD participating centers. This cohort was randomly divided into a 60% training (development) sample and a 40% test (validation) sample. The development sample was used to identify predictor variables and estimate model coefficients. The validation sample was used to assess model calibration and discrimination. Model outcomes included operative mortality, renal failure, stroke, reoperation for any cause, prolonged ventilation, deep sternal wound infection, composite major morbidity or mortality, prolonged length of stay (> 14 days), and short length of stay (< 6 days and alive). Candidate predictor variables were selected based on their availability in versions 2.35, 2.41, and 2.52.1 of the STS NCD and their presence in (or ability to be mapped to) version 2.61. Potential predictor variables were screened for overall prevalence in the study population, missing data frequency, coding concerns, bivariate relationships with outcomes, and their presence in previous STS or other CABG risk models. Supervised backwards selection was then performed with input from an expert panel of cardiac surgeons and biostatisticians. After successfully validating the fit of the models, the development and validation samples were subsequently combined, and the final regression coefficients were estimated using the overall combined (development plus validation) sample. Results The c-index for the mortality model was 0.812, and the c-indices for other endpoints ranged from 0.653 for reoperation to 0.793 for renal failure in the validation sample. Plots of observed versus predicted event rates revealed acceptable calibration in the overall population and in numerous subgroups. When patients were grouped into categories of predicted risk, the absolute difference between the observed and expect
doi_str_mv 10.1016/j.athoracsur.2009.05.053
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Since its inception, the number of participants has grown dramatically, patient acuity has increased, and overall outcomes have consistently improved. To adjust for these and other changes, all STS risk models have undergone periodic revisions. This report provides a detailed description of the 2008 STS risk model for coronary artery bypass grafting surgery (CABG). Methods The study population consisted of 774,881 isolated CABG procedures performed on adult patients aged 20 to 100 years between January 1, 2002, and December 31, 2006, at 819 STS NCD participating centers. This cohort was randomly divided into a 60% training (development) sample and a 40% test (validation) sample. The development sample was used to identify predictor variables and estimate model coefficients. The validation sample was used to assess model calibration and discrimination. Model outcomes included operative mortality, renal failure, stroke, reoperation for any cause, prolonged ventilation, deep sternal wound infection, composite major morbidity or mortality, prolonged length of stay (&gt; 14 days), and short length of stay (&lt; 6 days and alive). Candidate predictor variables were selected based on their availability in versions 2.35, 2.41, and 2.52.1 of the STS NCD and their presence in (or ability to be mapped to) version 2.61. Potential predictor variables were screened for overall prevalence in the study population, missing data frequency, coding concerns, bivariate relationships with outcomes, and their presence in previous STS or other CABG risk models. Supervised backwards selection was then performed with input from an expert panel of cardiac surgeons and biostatisticians. After successfully validating the fit of the models, the development and validation samples were subsequently combined, and the final regression coefficients were estimated using the overall combined (development plus validation) sample. Results The c-index for the mortality model was 0.812, and the c-indices for other endpoints ranged from 0.653 for reoperation to 0.793 for renal failure in the validation sample. Plots of observed versus predicted event rates revealed acceptable calibration in the overall population and in numerous subgroups. When patients were grouped into categories of predicted risk, the absolute difference between the observed and expected event rates was less than 1.5% for each endpoint. The final model intercept and coefficients are provided. Conclusions New STS risk models have been developed for CABG mortality and eight other endpoints. Detailed descriptions of model development and testing are provided, together with the final algorithm. Overall model performance is excellent.</description><identifier>ISSN: 0003-4975</identifier><identifier>EISSN: 1552-6259</identifier><identifier>DOI: 10.1016/j.athoracsur.2009.05.053</identifier><identifier>PMID: 19559822</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adult ; Advisory Committees ; Age Factors ; Aged ; Aged, 80 and over ; Algorithms ; Cardiac Surgical Procedures - methods ; Cardiac Surgical Procedures - mortality ; Cardiothoracic Surgery ; Cause of Death ; Coronary Artery Bypass - methods ; Coronary Artery Bypass - mortality ; Databases, Factual ; Female ; Humans ; Male ; Middle Aged ; Models, Cardiovascular ; Models, Statistical ; Postoperative Complications - mortality ; Prognosis ; Risk Adjustment ; Sensitivity and Specificity ; Sex Factors ; Societies, Medical ; Surgery ; Survival Analysis ; Young Adult</subject><ispartof>The Annals of thoracic surgery, 2009-07, Vol.88 (1), p.S2-S22</ispartof><rights>The Society of Thoracic Surgeons</rights><rights>2009 The Society of Thoracic Surgeons</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c538t-b57e2842ce7af533ef33cd906cb263e095a873dffa9af9f111907b56bb38746f3</citedby><cites>FETCH-LOGICAL-c538t-b57e2842ce7af533ef33cd906cb263e095a873dffa9af9f111907b56bb38746f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19559822$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shahian, David M., MD</creatorcontrib><creatorcontrib>O'Brien, Sean M., PhD</creatorcontrib><creatorcontrib>Filardo, Giovanni, PhD, MPH</creatorcontrib><creatorcontrib>Ferraris, Victor A., MD</creatorcontrib><creatorcontrib>Haan, Constance K., MD</creatorcontrib><creatorcontrib>Rich, Jeffrey B., MD</creatorcontrib><creatorcontrib>Normand, Sharon-Lise T., PhD</creatorcontrib><creatorcontrib>DeLong, Elizabeth R., PhD</creatorcontrib><creatorcontrib>Shewan, Cynthia M., PhD</creatorcontrib><creatorcontrib>Dokholyan, Rachel S., MPH</creatorcontrib><creatorcontrib>Peterson, Eric D., MD, MPH</creatorcontrib><creatorcontrib>Edwards, Fred H., MD</creatorcontrib><creatorcontrib>Anderson, Richard P., MD</creatorcontrib><creatorcontrib>Society of Thoracic Surgeons Quality Measurement Task Force</creatorcontrib><title>The Society of Thoracic Surgeons 2008 Cardiac Surgery Risk Models: Part 1—Coronary Artery Bypass Grafting Surgery</title><title>The Annals of thoracic surgery</title><addtitle>Ann Thorac Surg</addtitle><description>Background The first version of The Society of Thoracic Surgeons National Adult Cardiac Surgery Database (STS NCD) was developed nearly 2 decades ago. Since its inception, the number of participants has grown dramatically, patient acuity has increased, and overall outcomes have consistently improved. To adjust for these and other changes, all STS risk models have undergone periodic revisions. This report provides a detailed description of the 2008 STS risk model for coronary artery bypass grafting surgery (CABG). Methods The study population consisted of 774,881 isolated CABG procedures performed on adult patients aged 20 to 100 years between January 1, 2002, and December 31, 2006, at 819 STS NCD participating centers. This cohort was randomly divided into a 60% training (development) sample and a 40% test (validation) sample. The development sample was used to identify predictor variables and estimate model coefficients. The validation sample was used to assess model calibration and discrimination. Model outcomes included operative mortality, renal failure, stroke, reoperation for any cause, prolonged ventilation, deep sternal wound infection, composite major morbidity or mortality, prolonged length of stay (&gt; 14 days), and short length of stay (&lt; 6 days and alive). Candidate predictor variables were selected based on their availability in versions 2.35, 2.41, and 2.52.1 of the STS NCD and their presence in (or ability to be mapped to) version 2.61. Potential predictor variables were screened for overall prevalence in the study population, missing data frequency, coding concerns, bivariate relationships with outcomes, and their presence in previous STS or other CABG risk models. Supervised backwards selection was then performed with input from an expert panel of cardiac surgeons and biostatisticians. After successfully validating the fit of the models, the development and validation samples were subsequently combined, and the final regression coefficients were estimated using the overall combined (development plus validation) sample. Results The c-index for the mortality model was 0.812, and the c-indices for other endpoints ranged from 0.653 for reoperation to 0.793 for renal failure in the validation sample. Plots of observed versus predicted event rates revealed acceptable calibration in the overall population and in numerous subgroups. When patients were grouped into categories of predicted risk, the absolute difference between the observed and expected event rates was less than 1.5% for each endpoint. The final model intercept and coefficients are provided. Conclusions New STS risk models have been developed for CABG mortality and eight other endpoints. Detailed descriptions of model development and testing are provided, together with the final algorithm. Overall model performance is excellent.</description><subject>Adult</subject><subject>Advisory Committees</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Cardiac Surgical Procedures - methods</subject><subject>Cardiac Surgical Procedures - mortality</subject><subject>Cardiothoracic Surgery</subject><subject>Cause of Death</subject><subject>Coronary Artery Bypass - methods</subject><subject>Coronary Artery Bypass - mortality</subject><subject>Databases, Factual</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Cardiovascular</subject><subject>Models, Statistical</subject><subject>Postoperative Complications - mortality</subject><subject>Prognosis</subject><subject>Risk Adjustment</subject><subject>Sensitivity and Specificity</subject><subject>Sex Factors</subject><subject>Societies, Medical</subject><subject>Surgery</subject><subject>Survival Analysis</subject><subject>Young Adult</subject><issn>0003-4975</issn><issn>1552-6259</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkd9qFDEUxoNY7Fp9BcmVd7Pmz2Zm4oXQLlqFSou7gnchkzlps52drDkzwt75ED6hT2LGXSl4VTgQkvN93yG_QwjlbM4ZL99s5na4i8k6HNNcMKbnTOWST8iMKyWKUij9lMwYY7JY6EqdkueIm3wVuf2MnHKtlK6FmBFc3wFdRRdg2NPo6fpvbHB0NaZbiD3SHF_TpU1tsMfXtKdfAt7Tz7GFDt_SG5sGyn___LWMKfY2t8_TMKku9juLSC-T9UPob_-5X5ATbzuEl8fzjHz98H69_FhcXV9-Wp5fFU7JeigaVYGoF8JBZb2SEryUrtWsdI0oJTCtbF3J1nurrdeec65Z1aiyaWRdLUovz8jrQ-4uxe8j4GC2AR10ne0hjmjKaiEqLmUW1gehSxExgTe7FLb5I4YzMwE3G_MA3EzADVO5Juur44yx2UL7YDwSzoKLgyCjgh8BksEMu3fQhgRuMG0Mj5ny7r8Q14U-ONvdwx5wE8fUZ5KGGxSGmdW0-GnvTDPOVPlN_gFJo61F</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Shahian, David M., MD</creator><creator>O'Brien, Sean M., PhD</creator><creator>Filardo, Giovanni, PhD, MPH</creator><creator>Ferraris, Victor A., MD</creator><creator>Haan, Constance K., MD</creator><creator>Rich, Jeffrey B., MD</creator><creator>Normand, Sharon-Lise T., PhD</creator><creator>DeLong, Elizabeth R., PhD</creator><creator>Shewan, Cynthia M., PhD</creator><creator>Dokholyan, Rachel S., MPH</creator><creator>Peterson, Eric D., MD, MPH</creator><creator>Edwards, Fred H., MD</creator><creator>Anderson, Richard P., MD</creator><general>Elsevier Inc</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>7X8</scope></search><sort><creationdate>20090701</creationdate><title>The Society of Thoracic Surgeons 2008 Cardiac Surgery Risk Models: Part 1—Coronary Artery Bypass Grafting Surgery</title><author>Shahian, David M., MD ; O'Brien, Sean M., PhD ; Filardo, Giovanni, PhD, MPH ; Ferraris, Victor A., MD ; Haan, Constance K., MD ; Rich, Jeffrey B., MD ; Normand, Sharon-Lise T., PhD ; DeLong, Elizabeth R., PhD ; Shewan, Cynthia M., PhD ; Dokholyan, Rachel S., MPH ; Peterson, Eric D., MD, MPH ; Edwards, Fred H., MD ; Anderson, Richard P., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c538t-b57e2842ce7af533ef33cd906cb263e095a873dffa9af9f111907b56bb38746f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adult</topic><topic>Advisory Committees</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Cardiac Surgical Procedures - methods</topic><topic>Cardiac Surgical Procedures - mortality</topic><topic>Cardiothoracic Surgery</topic><topic>Cause of Death</topic><topic>Coronary Artery Bypass - methods</topic><topic>Coronary Artery Bypass - mortality</topic><topic>Databases, Factual</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Cardiovascular</topic><topic>Models, Statistical</topic><topic>Postoperative Complications - mortality</topic><topic>Prognosis</topic><topic>Risk Adjustment</topic><topic>Sensitivity and Specificity</topic><topic>Sex Factors</topic><topic>Societies, Medical</topic><topic>Surgery</topic><topic>Survival Analysis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shahian, David M., MD</creatorcontrib><creatorcontrib>O'Brien, Sean M., PhD</creatorcontrib><creatorcontrib>Filardo, Giovanni, PhD, MPH</creatorcontrib><creatorcontrib>Ferraris, Victor A., MD</creatorcontrib><creatorcontrib>Haan, Constance K., MD</creatorcontrib><creatorcontrib>Rich, Jeffrey B., MD</creatorcontrib><creatorcontrib>Normand, Sharon-Lise T., PhD</creatorcontrib><creatorcontrib>DeLong, Elizabeth R., PhD</creatorcontrib><creatorcontrib>Shewan, Cynthia M., PhD</creatorcontrib><creatorcontrib>Dokholyan, Rachel S., MPH</creatorcontrib><creatorcontrib>Peterson, Eric D., MD, MPH</creatorcontrib><creatorcontrib>Edwards, Fred H., MD</creatorcontrib><creatorcontrib>Anderson, Richard P., MD</creatorcontrib><creatorcontrib>Society of Thoracic Surgeons Quality Measurement Task Force</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Annals of thoracic surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shahian, David M., MD</au><au>O'Brien, Sean M., PhD</au><au>Filardo, Giovanni, PhD, MPH</au><au>Ferraris, Victor A., MD</au><au>Haan, Constance K., MD</au><au>Rich, Jeffrey B., MD</au><au>Normand, Sharon-Lise T., PhD</au><au>DeLong, Elizabeth R., PhD</au><au>Shewan, Cynthia M., PhD</au><au>Dokholyan, Rachel S., MPH</au><au>Peterson, Eric D., MD, MPH</au><au>Edwards, Fred H., MD</au><au>Anderson, Richard P., MD</au><aucorp>Society of Thoracic Surgeons Quality Measurement Task Force</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Society of Thoracic Surgeons 2008 Cardiac Surgery Risk Models: Part 1—Coronary Artery Bypass Grafting Surgery</atitle><jtitle>The Annals of thoracic surgery</jtitle><addtitle>Ann Thorac Surg</addtitle><date>2009-07-01</date><risdate>2009</risdate><volume>88</volume><issue>1</issue><spage>S2</spage><epage>S22</epage><pages>S2-S22</pages><issn>0003-4975</issn><eissn>1552-6259</eissn><abstract>Background The first version of The Society of Thoracic Surgeons National Adult Cardiac Surgery Database (STS NCD) was developed nearly 2 decades ago. Since its inception, the number of participants has grown dramatically, patient acuity has increased, and overall outcomes have consistently improved. To adjust for these and other changes, all STS risk models have undergone periodic revisions. This report provides a detailed description of the 2008 STS risk model for coronary artery bypass grafting surgery (CABG). Methods The study population consisted of 774,881 isolated CABG procedures performed on adult patients aged 20 to 100 years between January 1, 2002, and December 31, 2006, at 819 STS NCD participating centers. This cohort was randomly divided into a 60% training (development) sample and a 40% test (validation) sample. The development sample was used to identify predictor variables and estimate model coefficients. The validation sample was used to assess model calibration and discrimination. Model outcomes included operative mortality, renal failure, stroke, reoperation for any cause, prolonged ventilation, deep sternal wound infection, composite major morbidity or mortality, prolonged length of stay (&gt; 14 days), and short length of stay (&lt; 6 days and alive). Candidate predictor variables were selected based on their availability in versions 2.35, 2.41, and 2.52.1 of the STS NCD and their presence in (or ability to be mapped to) version 2.61. Potential predictor variables were screened for overall prevalence in the study population, missing data frequency, coding concerns, bivariate relationships with outcomes, and their presence in previous STS or other CABG risk models. Supervised backwards selection was then performed with input from an expert panel of cardiac surgeons and biostatisticians. After successfully validating the fit of the models, the development and validation samples were subsequently combined, and the final regression coefficients were estimated using the overall combined (development plus validation) sample. Results The c-index for the mortality model was 0.812, and the c-indices for other endpoints ranged from 0.653 for reoperation to 0.793 for renal failure in the validation sample. Plots of observed versus predicted event rates revealed acceptable calibration in the overall population and in numerous subgroups. When patients were grouped into categories of predicted risk, the absolute difference between the observed and expected event rates was less than 1.5% for each endpoint. The final model intercept and coefficients are provided. Conclusions New STS risk models have been developed for CABG mortality and eight other endpoints. Detailed descriptions of model development and testing are provided, together with the final algorithm. Overall model performance is excellent.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>19559822</pmid><doi>10.1016/j.athoracsur.2009.05.053</doi></addata></record>
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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Adult
Advisory Committees
Age Factors
Aged
Aged, 80 and over
Algorithms
Cardiac Surgical Procedures - methods
Cardiac Surgical Procedures - mortality
Cardiothoracic Surgery
Cause of Death
Coronary Artery Bypass - methods
Coronary Artery Bypass - mortality
Databases, Factual
Female
Humans
Male
Middle Aged
Models, Cardiovascular
Models, Statistical
Postoperative Complications - mortality
Prognosis
Risk Adjustment
Sensitivity and Specificity
Sex Factors
Societies, Medical
Surgery
Survival Analysis
Young Adult
title The Society of Thoracic Surgeons 2008 Cardiac Surgery Risk Models: Part 1—Coronary Artery Bypass Grafting Surgery
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