Literature DB >> 24231053

Simple bedside clinical evaluation versus established scores in the estimation of operative risk in valve replacement for severe aortic stenosis.

Marcel Laurent1, Maxime Fournet, Bertrand Feit, Emmanuel Oger, Erwan Donal, Christophe Thébault, Yves Biron, Xavier Beneux, Michel Sellin, Sophie Le Reveillé, Erwan Flecher, Alain Leguerrier.   

Abstract

BACKGROUND: The operative risk of cardiac surgery is ascertained preoperatively on the basis of scores validated in multinational studies. However, the value they add to a simple bedside clinical evaluation (CE) remains controversial. AIMS: To compare operative mortality (defined as death from all causes before the 31st postoperative day) predicted by CE with that predicted by additive and logistic EuroSCOREs, EuroSCORE II and Society of Thoracic Surgeons (STS), Ambler and age-creatinine-ejection fraction (ACEF) scores in patients undergoing aortic valve replacement (AVR) for severe aortic stenosis.
METHODS: Overall, 314 consecutive patients were included who underwent AVR between October 2009 and November 2011 (22% with coronary artery bypass graft); mean age 73.4 ± 9.7 years (29% aged>80 years). Based on CE, patients were divided into four predefined groups of increasing estimated mortality risk: I ≤ 3.9%; II 4-6.9%; III 7-9.9%; IV ≥ 10%. The positive and negative predictive values of the six scores and CE were compared.
RESULTS: The observed overall operative mortality was 5.7%. The distribution of the four predicted mortality groups by each score was highly variable. The positive predictive value, calculated for the 64 patients classified at highest risk by CE (groups III or IV) or each score, was 17.2% for EuroSCORE II, 14.1% for CE and STS scores, 10.9% for additive and logistic EuroSCOREs, 10.6% for ACEF and 10.2% for Ambler. The positive predictive value of each score in the low-risk groups (I and II) ranged from 2.8% to 4.4%.
CONCLUSION: A simple bedside CE appears as reliable as the various established scores for predicting operative risk in patients undergoing surgical aortic valve replacement. The development and validation of more comprehensive risk stratification tools, including risk factors thus far neglected, seems warranted.
Copyright © 2013 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  ACEF; AVR; Aortic valve replacement; CABG; CE; CI; ES-add; ES-log; LVEF; Mortalité opératoire; Operative mortality; Operative risk; Operative risk assessment; Remplacement valvulaire aortique; Risque opératoire; STS; Society of Thoracic Surgeons; TAVI; additive EuroSCORE; age-creatinine-ejection fraction; aortic valve replacement; clinical evaluation; confidence interval; coronary artery bypass graft; left ventricular ejection fraction; logistic EuroSCORE; transcatheter aortic valve implantation; Évaluation du risque opératoire

Mesh:

Substances:

Year:  2013        PMID: 24231053     DOI: 10.1016/j.acvd.2013.09.001

Source DB:  PubMed          Journal:  Arch Cardiovasc Dis        ISSN: 1875-2128            Impact factor:   2.340


  5 in total

Review 1.  Biomarkers of Calcific Aortic Valve Disease.

Authors:  Aeron Small; Daniel Kiss; Jay Giri; Saif Anwaruddin; Hasan Siddiqi; Marie Guerraty; Julio A Chirinos; Giovanni Ferrari; Daniel J Rader
Journal:  Arterioscler Thromb Vasc Biol       Date:  2017-02-02       Impact factor: 8.311

2.  Long-Term Survival Prediction for Coronary Artery Bypass Grafting: Validation of the ASCERT Model Compared With The Society of Thoracic Surgeons Predicted Risk of Mortality.

Authors:  Timothy S Lancaster; Matthew R Schill; Jason W Greenberg; Chawannuch Ruaengsri; Richard B Schuessler; Jennifer S Lawton; Hersh S Maniar; Michael K Pasque; Marc R Moon; Ralph J Damiano; Spencer J Melby
Journal:  Ann Thorac Surg       Date:  2017-12-19       Impact factor: 4.330

3.  Deceleration capacity of heart rate predicts 1-year mortality of patients undergoing transcatheter aortic valve implantation.

Authors:  Martin Duckheim; Charlotte Bensch; Linn Kittlitz; Nin Götz; Katharina Klee; Patrick Groga-Bada; Lars Mizera; Meinrad Gawaz; Christine Zuern; Christian Eick
Journal:  Clin Cardiol       Date:  2017-08-28       Impact factor: 2.882

4.  Preoperative risk assessment improves biomarker detection for predicting acute kidney injury after cardiac surgery.

Authors:  Cheng-Chia Lee; Chih-Hsiang Chang; Shao-Wei Chen; Pei-Chun Fan; Su-Wei Chang; Yi-Ting Chen; Yu-Yun Nan; Pyng-Jing Lin; Feng-Chun Tsai
Journal:  PLoS One       Date:  2018-09-04       Impact factor: 3.240

5.  Systematic review and meta-analysis of mortality risk prediction models in adult cardiac surgery.

Authors:  Shubhra Sinha; Arnaldo Dimagli; Lauren Dixon; Mario Gaudino; Massimo Caputo; Hunaid A Vohra; Gianni Angelini; Umberto Benedetto
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-10-29
  5 in total

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