Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?

Detalhes bibliográficos
Autor(a) principal: Arthur,Camila P. S.
Data de Publicação: 2017
Outros Autores: Mejia,Omar A. V., Osternack,Diogo, Nakazone,Marcelo Arruda, Goncharov,Maxim, Lisboa,Luiz A. F., Dallan,Luís A. O., Pomerantzeff,Pablo M. A., Jatene,Fabio B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos Brasileiros de Cardiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017001300290
Resumo: Abstract Background: Renal dysfunction is an independent predictor of morbidity and mortality in cardiac surgery. For a better assessment of renal function, calculation of creatinine clearance (CC) may be necessary. Objective: To objectively evaluate whether CC is a better risk predictor than serum creatinine (SC) in patients undergoing cardiac surgery. Methods: Analysis of 3,285 patients registered in a prospective, consecutive and mandatory manner in the Sao Paulo Registry of Cardiovascular Surgery (REPLICCAR) between November 2013 and January 2015. Values of SC, CC (Cockcroft-Gault) and EuroSCORE II were obtained. Association analysis of SC and CC with morbidity and mortality was performed by calibration and discrimination tests. Independent multivariate models with SC and CC were generated by multiple logistic regression to predict morbidity and mortality following cardiac surgery. Results: Despite the association between SC and mortality, it did not calibrate properly the risk groups. There was an association between CC and mortality with good calibration of risk groups. In mortality risk prediction, SC was uncalibrated with values > 1.35 mg /dL (p < 0.001). The ROC curve showed that CC is better than SC in predicting both morbidity and mortality risk. In the multivariate model without CC, SC was the only predictor of morbidity, whereas in the model without SC, CC was not only a mortality predictor, but also the only morbidity predictor. Conclusion: Compared with SC, CC is a better parameter of renal function in risk stratification of patients undergoing cardiac surgery.
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spelling Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?Renal Insufficiency/prevention &amp; controlMyocardial RevascularizationHospital MortalityCreatinine/analysisIndicators of Morbidity and MortalityRisk FactorsAbstract Background: Renal dysfunction is an independent predictor of morbidity and mortality in cardiac surgery. For a better assessment of renal function, calculation of creatinine clearance (CC) may be necessary. Objective: To objectively evaluate whether CC is a better risk predictor than serum creatinine (SC) in patients undergoing cardiac surgery. Methods: Analysis of 3,285 patients registered in a prospective, consecutive and mandatory manner in the Sao Paulo Registry of Cardiovascular Surgery (REPLICCAR) between November 2013 and January 2015. Values of SC, CC (Cockcroft-Gault) and EuroSCORE II were obtained. Association analysis of SC and CC with morbidity and mortality was performed by calibration and discrimination tests. Independent multivariate models with SC and CC were generated by multiple logistic regression to predict morbidity and mortality following cardiac surgery. Results: Despite the association between SC and mortality, it did not calibrate properly the risk groups. There was an association between CC and mortality with good calibration of risk groups. In mortality risk prediction, SC was uncalibrated with values > 1.35 mg /dL (p < 0.001). The ROC curve showed that CC is better than SC in predicting both morbidity and mortality risk. In the multivariate model without CC, SC was the only predictor of morbidity, whereas in the model without SC, CC was not only a mortality predictor, but also the only morbidity predictor. Conclusion: Compared with SC, CC is a better parameter of renal function in risk stratification of patients undergoing cardiac surgery.Sociedade Brasileira de Cardiologia - SBC2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017001300290Arquivos Brasileiros de Cardiologia v.109 n.4 2017reponame:Arquivos Brasileiros de Cardiologia (Online)instname:Sociedade Brasileira de Cardiologia (SBC)instacron:SBC10.5935/abc.20170129info:eu-repo/semantics/openAccessArthur,Camila P. S.Mejia,Omar A. V.Osternack,DiogoNakazone,Marcelo ArrudaGoncharov,MaximLisboa,Luiz A. F.Dallan,Luís A. O.Pomerantzeff,Pablo M. A.Jatene,Fabio B.eng2017-10-18T00:00:00Zoai:scielo:S0066-782X2017001300290Revistahttp://www.arquivosonline.com.br/https://old.scielo.br/oai/scielo-oai.php||arquivos@cardiol.br1678-41700066-782Xopendoar:2017-10-18T00:00Arquivos Brasileiros de Cardiologia (Online) - Sociedade Brasileira de Cardiologia (SBC)false
dc.title.none.fl_str_mv Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
title Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
spellingShingle Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
Arthur,Camila P. S.
Renal Insufficiency/prevention &amp; control
Myocardial Revascularization
Hospital Mortality
Creatinine/analysis
Indicators of Morbidity and Mortality
Risk Factors
title_short Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
title_full Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
title_fullStr Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
title_full_unstemmed Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
title_sort Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
author Arthur,Camila P. S.
author_facet Arthur,Camila P. S.
Mejia,Omar A. V.
Osternack,Diogo
Nakazone,Marcelo Arruda
Goncharov,Maxim
Lisboa,Luiz A. F.
Dallan,Luís A. O.
Pomerantzeff,Pablo M. A.
Jatene,Fabio B.
author_role author
author2 Mejia,Omar A. V.
Osternack,Diogo
Nakazone,Marcelo Arruda
Goncharov,Maxim
Lisboa,Luiz A. F.
Dallan,Luís A. O.
Pomerantzeff,Pablo M. A.
Jatene,Fabio B.
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Arthur,Camila P. S.
Mejia,Omar A. V.
Osternack,Diogo
Nakazone,Marcelo Arruda
Goncharov,Maxim
Lisboa,Luiz A. F.
Dallan,Luís A. O.
Pomerantzeff,Pablo M. A.
Jatene,Fabio B.
dc.subject.por.fl_str_mv Renal Insufficiency/prevention &amp; control
Myocardial Revascularization
Hospital Mortality
Creatinine/analysis
Indicators of Morbidity and Mortality
Risk Factors
topic Renal Insufficiency/prevention &amp; control
Myocardial Revascularization
Hospital Mortality
Creatinine/analysis
Indicators of Morbidity and Mortality
Risk Factors
description Abstract Background: Renal dysfunction is an independent predictor of morbidity and mortality in cardiac surgery. For a better assessment of renal function, calculation of creatinine clearance (CC) may be necessary. Objective: To objectively evaluate whether CC is a better risk predictor than serum creatinine (SC) in patients undergoing cardiac surgery. Methods: Analysis of 3,285 patients registered in a prospective, consecutive and mandatory manner in the Sao Paulo Registry of Cardiovascular Surgery (REPLICCAR) between November 2013 and January 2015. Values of SC, CC (Cockcroft-Gault) and EuroSCORE II were obtained. Association analysis of SC and CC with morbidity and mortality was performed by calibration and discrimination tests. Independent multivariate models with SC and CC were generated by multiple logistic regression to predict morbidity and mortality following cardiac surgery. Results: Despite the association between SC and mortality, it did not calibrate properly the risk groups. There was an association between CC and mortality with good calibration of risk groups. In mortality risk prediction, SC was uncalibrated with values > 1.35 mg /dL (p < 0.001). The ROC curve showed that CC is better than SC in predicting both morbidity and mortality risk. In the multivariate model without CC, SC was the only predictor of morbidity, whereas in the model without SC, CC was not only a mortality predictor, but also the only morbidity predictor. Conclusion: Compared with SC, CC is a better parameter of renal function in risk stratification of patients undergoing cardiac surgery.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017001300290
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017001300290
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/abc.20170129
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia - SBC
publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia - SBC
dc.source.none.fl_str_mv Arquivos Brasileiros de Cardiologia v.109 n.4 2017
reponame:Arquivos Brasileiros de Cardiologia (Online)
instname:Sociedade Brasileira de Cardiologia (SBC)
instacron:SBC
instname_str Sociedade Brasileira de Cardiologia (SBC)
instacron_str SBC
institution SBC
reponame_str Arquivos Brasileiros de Cardiologia (Online)
collection Arquivos Brasileiros de Cardiologia (Online)
repository.name.fl_str_mv Arquivos Brasileiros de Cardiologia (Online) - Sociedade Brasileira de Cardiologia (SBC)
repository.mail.fl_str_mv ||arquivos@cardiol.br
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