Literature DB >> 23463809

Performance of the EuroSCORE models in emergency cardiac surgery.

Stuart W Grant1, Graeme L Hickey, Ioannis Dimarakis, Graham Cooper, David P Jenkins, Rakesh Uppal, Iain Buchan, Ben Bridgewater.   

Abstract

BACKGROUND: Accurate risk-adjustment models are useful for clinical decision making and are important for minimizing any tendency toward risk-averse clinical practice. In cardiac surgery, emergency patients are potentially at greatest risk of inappropriate risk-averse clinical decisions. UK cardiac surgery outcomes are currently risk-adjusted with EuroSCORE models. The objective of this study was to assess the performance of the EuroSCORE models in emergency cardiac surgery. METHODS AND
RESULTS: The National Institute for Cardiovascular Outcomes Research database was used to identify adult cardiac surgery procedures performed in the United Kingdom between April 2008 and March 2011. A subset of procedures (July 2010-March 2011) was used for EuroSCORE II validation. The outcome measure was in-hospital mortality. Model calibration (Hosmer-Lemeshow test, calibration plots, calculation of calibration intercept and slope) and discrimination (area under receiver-operating characteristic curve [area under the curve]) were assessed. In total, 109 988 cardiac procedures at 41 hospitals were included, of which 3342 were defined as emergency procedures. Compared with performance in all cardiac surgery and nonemergency cardiac surgery, the logistic EuroSCORE and EuroSCORE II models had poorer discrimination (area under the curve, 0.703 and 0.690, respectively) and poorer calibration for emergency surgery. The EuroSCORE risk factors of female sex, chronic pulmonary disease, neurological disease, active endocarditis, unstable angina, recent myocardial infarction, and pulmonary hypertension were not identified as important risk factors for emergency cardiac surgery.
CONCLUSIONS: Both EuroSCORE models demonstrated poor calibration and comparatively poor discrimination for emergency cardiac surgery. This has important implications when these models are used for clinical decision making or to adjust governance analyses.

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Year:  2013        PMID: 23463809     DOI: 10.1161/CIRCOUTCOMES.111.000018

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  10 in total

1.  A risk factor analysis for in-hospital mortality after surgery for infective endocarditis and a proposal of a new predictive scoring system.

Authors:  Giuseppe Gatti; Bernardo Benussi; Florida Gripshi; Alessio Della Mattia; Alberto Proclemer; Antonio Cannatà; Lorella Dreas; Roberto Luzzati; Gianfranco Sinagra; Aniello Pappalardo
Journal:  Infection       Date:  2017-01-04       Impact factor: 3.553

2.  Machine Learning-Based Risk Model for Predicting Early Mortality After Surgery for Infective Endocarditis.

Authors:  Li Luo; Sui-Qing Huang; Chuang Liu; Quan Liu; Shuohui Dong; Yuan Yue; Kai-Zheng Liu; Lin Huang; Shun-Jun Wang; Hua-Yang Li; Shaoyi Zheng; Zhong-Kai Wu
Journal:  J Am Heart Assoc       Date:  2022-06-03       Impact factor: 6.106

3.  Performance of the EuroSCORE II and the Society of Thoracic Surgeons score in patients undergoing aortic valve replacement for aortic stenosis.

Authors:  Piotr Duchnowski; Tomasz Hryniewiecki; Mariusz Kuśmierczyk; Piotr Szymanski
Journal:  J Thorac Dis       Date:  2019-05       Impact factor: 2.895

4.  Prospective validation of the EuroSCORE II risk model in a single Dutch cardiac surgery centre.

Authors:  E K Hogervorst; P M J Rosseel; L M G van de Watering; A Brand; M Bentala; B J M van der Meer; J G van der Bom
Journal:  Neth Heart J       Date:  2018-11       Impact factor: 2.380

5.  Trends and outcomes for cardiac surgery in the United Kingdom from 2002 to 2016.

Authors:  Stuart W Grant; Simon Kendall; Andrew T Goodwin; Graham Cooper; Uday Trivedi; Richard Page; David P Jenkins
Journal:  JTCVS Open       Date:  2021-02-12

6.  Early surgical myocardial revascularization in non-ST-segment elevation acute coronary syndrome.

Authors:  Sebastian V Rojas; Mai Linh Trinh-Adams; Aitor Uribarri; Felix Fleissner; Pavel Iablonskii; Sara Rojas-Hernandez; Marcel Ricklefs; Andreas Martens; Stefan Rümke; Gregor Warnecke; Serghei Cebotari; Axel Haverich; Issam Ismail
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

7.  A contemporary risk model for predicting 30-day mortality following percutaneous coronary intervention in England and Wales.

Authors:  Katherine S L McAllister; Peter F Ludman; William Hulme; Mark A de Belder; Rodney Stables; Saqib Chowdhary; Mamas A Mamas; Matthew Sperrin; Iain E Buchan
Journal:  Int J Cardiol       Date:  2016-02-17       Impact factor: 4.164

8.  Simple Scoring System to Predict In-Hospital Mortality After Surgery for Infective Endocarditis.

Authors:  Giuseppe Gatti; Andrea Perrotti; Jean-François Obadia; Xavier Duval; Bernard Iung; François Alla; Catherine Chirouze; Christine Selton-Suty; Bruno Hoen; Gianfranco Sinagra; François Delahaye; Pierre Tattevin; Vincent Le Moing; Aniello Pappalardo; Sidney Chocron
Journal:  J Am Heart Assoc       Date:  2017-07-20       Impact factor: 5.501

9.  Surgeon length of service and risk-adjusted outcomes: linked observational analysis of the UK National Adult Cardiac Surgery Audit Registry and General Medical Council Register.

Authors:  Graeme L Hickey; Stuart W Grant; Nick Freemantle; David Cunningham; Christopher M Munsch; Steven A Livesey; James Roxburgh; Iain Buchan; Ben Bridgewater
Journal:  J R Soc Med       Date:  2014-09       Impact factor: 5.344

10.  Mortality risk prediction in high-risk patients undergoing coronary artery bypass grafting: Are traditional risk scores accurate?

Authors:  Maxim Goncharov; Omar Asdrúbal Vilca Mejia; Camila Perez de Souza Arthur; Bianca Maria Maglia Orlandi; Alexandre Sousa; Marco Antônio Praça Oliveira; Fernando Antibas Atik; Rodrigo Coelho Segalote; Marcos Gradim Tiveron; Pedro Gabriel Melo de Barros E Silva; Marcelo Arruda Nakazone; Luiz Augusto Ferreira Lisboa; Luís Alberto Oliveira Dallan; Zhe Zheng; Shengshou Hu; Fabio Biscegli Jatene
Journal:  PLoS One       Date:  2021-08-03       Impact factor: 3.240

  10 in total

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