Literature DB >> 19559823

The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 2--isolated valve surgery.

Sean M O'Brien1, David M Shahian, Giovanni Filardo, Victor A Ferraris, Constance K Haan, Jeffrey B Rich, Sharon-Lise T Normand, Elizabeth R DeLong, Cynthia M Shewan, Rachel S Dokholyan, Eric D Peterson, Fred H Edwards, Richard P Anderson.   

Abstract

BACKGROUND: Adjustment for case-mix is essential when using observational data to compare surgical techniques or providers. That is most often accomplished through the use of risk models that account for preoperative patient factors that may impact outcomes. The Society of Thoracic Surgeons (STS) uses such risk models to create risk-adjusted performance reports for participants in the STS National Adult Cardiac Surgery Database (NCD). Although risk models were initially developed for coronary artery bypass surgery, similar models have now been developed for use with heart valve surgery, particularly as the proportion of such procedures has increased. The last published STS model for isolated valve surgery was based on data from 1994 to 1997 and did not include patients undergoing mitral valve repair. STS has developed new valve surgery models using contemporary data that include both valve repair as well as replacement. Expanding upon existing valve models, the new STS models include several nonfatal complications in addition to mortality.
METHODS: Using STS data from 2002 to 2006, isolated valve surgery risk models were developed for operative mortality, permanent stroke, renal failure, prolonged ventilation (> 24 hours), deep sternal wound infection, reoperation for any reason, a major morbidity or mortality composite endpoint, prolonged postoperative length of stay, and short postoperative length of stay. The study population consisted of adult patients who underwent one of three types of valve surgery: isolated aortic valve replacement (n = 67,292), isolated mitral valve replacement (n = 21,229), or isolated mitral valve repair (n = 21,238). The population was divided into a 60% development sample and a 40% validation sample. After an initial empirical investigation, the three surgery groups were combined into a single logistic regression model with numerous interactions to allow the covariate effects to differ across these groups. Variables were selected based on a combination of automated stepwise selection and expert panel review.
RESULTS: Unadjusted operative mortality (in-hospital regardless of timing, and 30-day regardless of venue) for all isolated valve procedures was 3.4%, and unadjusted in-hospital morbidity rates ranged from 0.3% for deep sternal wound infection to 11.8% for prolonged ventilation. The number of predictors in each model ranged from 10 covariates in the sternal infection model to 24 covariates in the composite mortality plus morbidity model. Discrimination as measured by the c-index ranged from 0.639 for reoperation to 0.799 for mortality. When patients in the validation sample were grouped into 10 categories based on deciles of predicted risk, the average absolute difference between observed versus predicted events within these groups ranged from 0.06% for deep sternal wound infection to 1.06% for prolonged postoperative stay.
CONCLUSIONS: The new STS risk models for valve surgery include mitral valve repair as well as multiple endpoints other than mortality. Model coefficients are provided and an online risk calculator is publicly available from The Society of Thoracic Surgeons website.

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Year:  2009        PMID: 19559823     DOI: 10.1016/j.athoracsur.2009.05.056

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  211 in total

1.  Association of Hospital Surgical Aortic Valve Replacement Quality With 30-Day and 1-Year Mortality After Transcatheter Aortic Valve Replacement.

Authors:  Harun Kundi; Jeffrey J Popma; Kamal R Khabbaz; Louis M Chu; Jordan B Strom; Linda R Valsdottir; Changyu Shen; Robert W Yeh
Journal:  JAMA Cardiol       Date:  2019-01-01       Impact factor: 14.676

2.  Report from AmSECT's International Consortium for Evidence- Based Perfusion Consensus Statement: Minimal Criteria for Reporting Cardiopulmonary Bypass-Related Contributions to Red Blood Cell Transfusions Associated With Adult Cardiac Surgery.

Authors:  Donald S Likosky; Robert A Baker; Timothy A Dickinson; Daniel J FitzGerald; M Filip De Somer; Robert C Groom; David FitzGerald; Kenneth G Shann; Michael Poullis; Bruce D Spiess; Karim Jabr; Mark T Lucas; James D Ferguson; Shahna L Bronson
Journal:  J Extra Corpor Technol       Date:  2015-06

3.  Physical performance as a predictor of midterm outcome after mitral valve surgery.

Authors:  Kohei Ashikaga; Mike Saji; Shuichiro Takanashi; Masatoshi Nagayama; Yoshihiro J Akashi; Mitsuaki Isobe
Journal:  Heart Vessels       Date:  2019-04-10       Impact factor: 2.037

4.  Comparison of multicenter registries and randomized control trials for transcatheter aortic valve replacement (TAVR).

Authors:  Shikhar Agarwal; E Murat Tuzcu; William Stewart; Navkaranbir Singh Bajaj; Lars G Svensson; Samir R Kapadia
Journal:  Indian Heart J       Date:  2013-07-10

5.  Incremental risk of the Cox-maze IV procedure for patients with atrial fibrillation undergoing mitral valve surgery.

Authors:  Lindsey L Saint; Ralph J Damiano; Phillip S Cuculich; Tracey J Guthrie; Marc R Moon; Nabil A Munfakh; Hersh S Maniar
Journal:  J Thorac Cardiovasc Surg       Date:  2013-08-30       Impact factor: 5.209

6.  Predictors for non-delayed discharge after transcatheter aortic valve replacement: utility of echocardiographic parameters.

Authors:  Tomoo Nagai; Hitomi Horinouchi; Yohei Ohno; Tsutomu Murakami; Katsuaki Sakai; Gaku Nakazawa; Koichiro Yoshioka; Yuji Ikari
Journal:  Int J Cardiovasc Imaging       Date:  2020-07-25       Impact factor: 2.357

Review 7.  Pre-procedural risk models for patients undergoing transcatheter aortic valve implantation.

Authors:  Glen P Martin; Matthew Sperrin; Mamas A Mamas
Journal:  J Thorac Dis       Date:  2018-11       Impact factor: 2.895

8.  Geographically Derived Socioeconomic Factors to Improve Risk Prediction in Patients Having Aortic Valve Replacement.

Authors:  Fenton H McCarthy; Lingjiao Zhang; Vicky Tam; Jinbo Chen; Chase Brown; William L Patrick; Walter Clark Hargrove; Wilson Y Szeto; Nimesh D Desai; Douglas J Wiebe; Peter W Groeneveld; Matthew L Williams
Journal:  Am J Cardiol       Date:  2018-09-26       Impact factor: 2.778

9.  Changes in Risk Profile and Outcomes of Patients Undergoing Surgical Aortic Valve Replacement From the Pre- to Post-Transcatheter Aortic Valve Replacement Eras.

Authors:  Brian R Englum; Asvin M Ganapathi; Matthew A Schechter; J Kevin Harrison; Donald D Glower; G Chad Hughes
Journal:  Ann Thorac Surg       Date:  2015-09-16       Impact factor: 4.330

10.  Impact of cardiac comorbidities on early and 1-year outcome after percutaneous mitral valve interventions: data from the German transcatheter mitral valve interventions (TRAMI) registry.

Authors:  Carsten Schwencke; Klaudija Bijuklic; Taoufik Ouarrak; Edith Lubos; Wolfgang Schillinger; Björn Plicht; Holger Eggebrecht; Stephan Baldus; Gerhard Schymik; Peter Boekstegers; Rainer Hoffmann; Jochen Senges; Joachim Schofer
Journal:  Clin Res Cardiol       Date:  2016-10-17       Impact factor: 5.460

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