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

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 seru...

Full description

Bibliographic Details
Main Authors: Camila P. S. Arthur, Omar A. V. Mejia, Diogo Osternack, Marcelo Arruda Nakazone, Maxim Goncharov, Luiz A. F. Lisboa, Luís A. O. Dallan, Pablo M. A. Pomerantzeff, Fabio B. Jatene
Format: Article
Language:English
Published: Sociedade Brasileira de Cardiologia (SBC) 2017-09-01
Series:Arquivos Brasileiros de Cardiologia
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017005017103&lng=en&tlng=en
id doaj-6a0bc02cad9349b690dcfc6e1fef6388
record_format Article
spelling doaj-6a0bc02cad9349b690dcfc6e1fef63882020-11-25T00:40:04ZengSociedade Brasileira de Cardiologia (SBC)Arquivos Brasileiros de Cardiologia1678-41702017-09-01010.5935/abc.20170129S0066-782X2017005017103Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?Camila P. S. ArthurOmar A. V. MejiaDiogo OsternackMarcelo Arruda NakazoneMaxim GoncharovLuiz A. F. LisboaLuís A. O. DallanPablo M. A. PomerantzeffFabio B. JateneAbstract 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017005017103&lng=en&tlng=enRenal Insufficiency/prevention & controlMyocardial RevascularizationHospital MortalityCreatinine/analysisIndicators of Morbidity and MortalityRisk Factors
collection DOAJ
language English
format Article
sources DOAJ
author Camila P. S. Arthur
Omar A. V. Mejia
Diogo Osternack
Marcelo Arruda Nakazone
Maxim Goncharov
Luiz A. F. Lisboa
Luís A. O. Dallan
Pablo M. A. Pomerantzeff
Fabio B. Jatene
spellingShingle Camila P. S. Arthur
Omar A. V. Mejia
Diogo Osternack
Marcelo Arruda Nakazone
Maxim Goncharov
Luiz A. F. Lisboa
Luís A. O. Dallan
Pablo M. A. Pomerantzeff
Fabio B. Jatene
Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
Arquivos Brasileiros de Cardiologia
Renal Insufficiency/prevention & control
Myocardial Revascularization
Hospital Mortality
Creatinine/analysis
Indicators of Morbidity and Mortality
Risk Factors
author_facet Camila P. S. Arthur
Omar A. V. Mejia
Diogo Osternack
Marcelo Arruda Nakazone
Maxim Goncharov
Luiz A. F. Lisboa
Luís A. O. Dallan
Pablo M. A. Pomerantzeff
Fabio B. Jatene
author_sort Camila P. S. Arthur
title Do We Need to Personalize Renal Function Assessment in the Stratification of Patients Undergoing Cardiac Surgery?
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?
publisher Sociedade Brasileira de Cardiologia (SBC)
series Arquivos Brasileiros de Cardiologia
issn 1678-4170
publishDate 2017-09-01
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.
topic Renal Insufficiency/prevention & control
Myocardial Revascularization
Hospital Mortality
Creatinine/analysis
Indicators of Morbidity and Mortality
Risk Factors
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017005017103&lng=en&tlng=en
work_keys_str_mv AT camilapsarthur doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT omaravmejia doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT diogoosternack doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT marceloarrudanakazone doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT maximgoncharov doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT luizaflisboa doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT luisaodallan doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT pablomapomerantzeff doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
AT fabiobjatene doweneedtopersonalizerenalfunctionassessmentinthestratificationofpatientsundergoingcardiacsurgery
_version_ 1725291633096785920