» Articles » PMID: 35545239

Measured Versus Estimated Creatinine Clearance in Critically Ill Patients with Acute Kidney Injury: an Observational Study

Overview
Journal Acute Crit Care
Specialty Critical Care
Date 2022 May 11
PMID 35545239
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Acute kidney injury (AKI) commonly occurs in critically ill patients. Estimation of renal function and antibiotics dose adjustment in patients with AKI is a challenging issue.

Methods: Urinary creatinine clearance was measured in a 6-hour urine collection from patients with acute kidney injuries. The correlations between different formulas including the modified Cockcroft-Gault, modification of diet in renal disease, chronic kidney disease-epidemiology collaboration, Jelliffe, kinetic-glomerular filtration rate (GFR), Brater, and Chiou formulas were considered. The pattern of the prescribed antimicrobial agents was also compared with the patterns in the available resources.

Results: Ninety-five patients with acute kidney injuries were included in the research. The mean age of the participants was 63.11±17.58 years old. The most patients (77.89%) were in stage 1 of AKI according to the Acute Kidney Injury Network criteria, followed by stage 2 (14.73%) and stage 3 (7.36), respectively. None of the formulations had a high or very high correlation with the measured creatinine clearance. In stage 1, Chiou (r=0.26), and in stage 2 and 3, kinetic-GFR (r=0.76 and r=0.37) had the highest correlation coefficient. Antibiotic over- and under-dosing were frequently observed in the study.

Conclusions: The results showed that none of the static methods can predict the measured creatinine clearance in the critically ill patients. The dynamic methods such as kinetic-GFR can be helpful for patients who do not receive diuretics and vasopressors. Further studies are needed to confirm our results.

Citing Articles

Association between phase angle and daily creatinine excretion changes in critically ill patients: an approach to muscle mass.

Vargas-Errazuriz P, Dreyse N, Lopez R, Cano-Cappellacci M, Graf J, Guerrero J Front Physiol. 2025; 15():1508709.

PMID: 39844897 PMC: 11753204. DOI: 10.3389/fphys.2024.1508709.


Development and validation of a deep learning algorithm for the prediction of serum creatinine in critically ill patients.

Ghanbari G, Lam J, Shashikumar S, Awdishu L, Singh K, Malhotra A JAMIA Open. 2024; 7(3):ooae097.

PMID: 39318762 PMC: 11421473. DOI: 10.1093/jamiaopen/ooae097.


SWOT and Root Cause Analyses of Antimicrobial Resistance to Oral Antimicrobial Treatment of Cystitis.

Tyagi P, Tyagi S, Stewart L, Glickman S Antibiotics (Basel). 2024; 13(4).

PMID: 38667004 PMC: 11047466. DOI: 10.3390/antibiotics13040328.


Selection of appropriate reference creatinine estimate for acute kidney injury diagnosis in patients with severe trauma.

Lee K, Ryu D, Kim H, Park S, Lee S, Park C Acute Crit Care. 2023; 38(1):95-103.

PMID: 36935538 PMC: 10030240. DOI: 10.4266/acc.2022.01046.


Estimated glomerular filtration rates are higher when creatinine-based equations are compared with a cystatin C-based equation in coronavirus disease 2019.

Larsson A, Hultstrom M, Frithiof R, Lipcsey M, Nyman U, Eriksson M Acta Anaesthesiol Scand. 2022; 67(2):213-220.

PMID: 36400740 PMC: 10099776. DOI: 10.1111/aas.14173.

References
1.
Xiong L, Lu Z, Quidley A, Alford B, Bookstaver P . Evaluation of Renal Function Estimation Formulas Specific to Dynamic Renal Function for Drug Dosing in Critically Ill Patients. South Med J. 2018; 111(5):299-306. DOI: 10.14423/SMJ.0000000000000797. View

2.
Baptista J, Udy A, Sousa E, Pimentel J, Wang L, Roberts J . A comparison of estimates of glomerular filtration in critically ill patients with augmented renal clearance. Crit Care. 2011; 15(3):R139. PMC: 3219011. DOI: 10.1186/cc10262. View

3.
Kwong Y, Chen S, Bouajram R, Li F, Matthay M, Mehta K . The value of kinetic glomerular filtration rate estimation on medication dosing in acute kidney injury. PLoS One. 2019; 14(11):e0225601. PMC: 6879155. DOI: 10.1371/journal.pone.0225601. View

4.
Williams P, Beall G, Cotta M, Roberts J . Antimicrobial dosing in critical care: A pragmatic adult dosing nomogram. Int J Antimicrob Agents. 2019; 55(2):105837. DOI: 10.1016/j.ijantimicag.2019.10.018. View

5.
Kane-Gill S, Sileanu F, Murugan R, Trietley G, Handler S, Kellum J . Risk factors for acute kidney injury in older adults with critical illness: a retrospective cohort study. Am J Kidney Dis. 2014; 65(6):860-9. PMC: 4442750. DOI: 10.1053/j.ajkd.2014.10.018. View