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Main Author: Elija Januškevičiūtė*
Format: Artículo científico
Language:en
Published: Vilniaus Universitetas 2021
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=694072807006
https://www.redalyc.org/journal/6940/694072807006/
https://www.redalyc.org/journal/6940/694072807006/html/
https://www.redalyc.org/journal/6940/694072807006/694072807006.epub
https://www.redalyc.org/journal/6940/694072807006/movil
https://doi.org/10.15388/Amed.2021.28.1.22
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author Elija Januškevičiūtė*
author_facet Elija Januškevičiūtė*
contents Acute Kidney Injury in Cardiac Surgery Patients: Role of Glomerular Filtration Rate and Fat-Free Mass Elija Januškevičiūtė* Vaidas Vicka Justina Krauklytė Alvita Vickienė Donata Ringaitienė Mindaugas Šerpytis Jūratė Šipylaitė Medicina fat eGFR free mass Acute kidney injury Background. eGFR (estimated glomerular filtration rate) formulas may be inaccurate in overweight cardiac surgery patients, overestimating the kidney reserve. The aim of this study was to modify the eGFR formulas and to determine whether the modified eGFR is a more accurate predictor of acute kidney injury (AKI). Materials and methods: The patients were assigned into 4 BMI groups as follows: normal weight (18.5–25 kg/m.), pre-obesity (25–30 kg/m.), class I obese (30–35 kg/m.), class II and III obese (≥35 kg/m.). Cockcroft–Gault (CG) eGFR formula was modified by using the fat-free mass (FFM) derived from bioelectrical impedance. ROC-AUC curves were analyzed to identify the accuracy of the eGFR formulas (CG, CG modified with FFM, Mayo Clinic Quadratic equation, CKD-EPI, MDRD) to predict the AKI in each group. Results. Although all of the used equations showed similar predictive power in the normal weight and overweight category, Mayo formula had the highest AUC in predicting the occurrence of AKI (ROC-AUC 0.717 and 0.624, p<0.05). However, in the group of patients with class I obesity, only the CG formula modified with a fat-free mass appeared to be predictive of postoperative AKI (ROC-AUC 0.631 p<0.05). None of the equations were accurate in the group of BMI (>35 kg/m.). Conclusions. eGFR is a poor predictor of AKI, especially in the obese patients undergoing cardiac surgery. The only equation with a moderate predictive power for the class I obese patients was the CG formula modified with the fat-free mass. 2021 artículo científico 2029-4174 https://www.redalyc.org/articulo.oa?id=694072807006 https://www.redalyc.org/journal/6940/694072807006/ https://www.redalyc.org/journal/6940/694072807006/html/ https://www.redalyc.org/journal/6940/694072807006/694072807006.epub https://www.redalyc.org/journal/6940/694072807006/movil https://doi.org/10.15388/Amed.2021.28.1.22 en http://www.redalyc.org/revista.oa?id=6940 Acta medica Lituanica application/pdf Vilniaus Universitetas Acta medica Lituanica (Lituania) Num.1 Vol.28
format Artículo científico
id redalyc_694072807006
language en
publishDate 2021
publisher Vilniaus Universitetas
spellingShingle Acute Kidney Injury in Cardiac Surgery Patients: Role of Glomerular Filtration Rate and Fat-Free Mass
Elija Januškevičiūtė*
Medicina
fat
eGFR
free mass
Acute kidney injury
Acute Kidney Injury in Cardiac Surgery Patients: Role of Glomerular Filtration Rate and Fat-Free Mass Elija Januškevičiūtė* Vaidas Vicka Justina Krauklytė Alvita Vickienė Donata Ringaitienė Mindaugas Šerpytis Jūratė Šipylaitė Medicina fat eGFR free mass Acute kidney injury Background. eGFR (estimated glomerular filtration rate) formulas may be inaccurate in overweight cardiac surgery patients, overestimating the kidney reserve. The aim of this study was to modify the eGFR formulas and to determine whether the modified eGFR is a more accurate predictor of acute kidney injury (AKI). Materials and methods: The patients were assigned into 4 BMI groups as follows: normal weight (18.5–25 kg/m.), pre-obesity (25–30 kg/m.), class I obese (30–35 kg/m.), class II and III obese (≥35 kg/m.). Cockcroft–Gault (CG) eGFR formula was modified by using the fat-free mass (FFM) derived from bioelectrical impedance. ROC-AUC curves were analyzed to identify the accuracy of the eGFR formulas (CG, CG modified with FFM, Mayo Clinic Quadratic equation, CKD-EPI, MDRD) to predict the AKI in each group. Results. Although all of the used equations showed similar predictive power in the normal weight and overweight category, Mayo formula had the highest AUC in predicting the occurrence of AKI (ROC-AUC 0.717 and 0.624, p<0.05). However, in the group of patients with class I obesity, only the CG formula modified with a fat-free mass appeared to be predictive of postoperative AKI (ROC-AUC 0.631 p<0.05). None of the equations were accurate in the group of BMI (>35 kg/m.). Conclusions. eGFR is a poor predictor of AKI, especially in the obese patients undergoing cardiac surgery. The only equation with a moderate predictive power for the class I obese patients was the CG formula modified with the fat-free mass. 2021 artículo científico 2029-4174 https://www.redalyc.org/articulo.oa?id=694072807006 https://www.redalyc.org/journal/6940/694072807006/ https://www.redalyc.org/journal/6940/694072807006/html/ https://www.redalyc.org/journal/6940/694072807006/694072807006.epub https://www.redalyc.org/journal/6940/694072807006/movil https://doi.org/10.15388/Amed.2021.28.1.22 en http://www.redalyc.org/revista.oa?id=6940 Acta medica Lituanica application/pdf Vilniaus Universitetas Acta medica Lituanica (Lituania) Num.1 Vol.28
title Acute Kidney Injury in Cardiac Surgery Patients: Role of Glomerular Filtration Rate and Fat-Free Mass
topic Medicina
fat
eGFR
free mass
Acute kidney injury
url https://www.redalyc.org/articulo.oa?id=694072807006
https://www.redalyc.org/journal/6940/694072807006/
https://www.redalyc.org/journal/6940/694072807006/html/
https://www.redalyc.org/journal/6940/694072807006/694072807006.epub
https://www.redalyc.org/journal/6940/694072807006/movil
https://doi.org/10.15388/Amed.2021.28.1.22