Estimation of renal function immediately after cessation of continuous renal replacement therapy at the ICU.
Humans
Male
Female
Glomerular Filtration Rate
Middle Aged
Intensive Care Units
Continuous Renal Replacement Therapy
/ methods
Creatinine
/ blood
Aged
Prospective Studies
Kidney
/ physiopathology
Retrospective Studies
Tomography, X-Ray Computed
Kidney Function Tests
/ methods
Renal Replacement Therapy
/ methods
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
10 Sep 2024
10 Sep 2024
Historique:
received:
21
05
2024
accepted:
03
09
2024
medline:
11
9
2024
pubmed:
11
9
2024
entrez:
10
9
2024
Statut:
epublish
Résumé
Estimating glomerular filtration (eGFR) after Continuous Renal Replacement Therapy (CRRT) is important to guide drug dosing and to assess the need to re-initiate CRRT. Standard eGFR equations cannot be applied as these patients neither have steady-state serum creatinine concentration nor average muscle mass. In this study we evaluate the combination of dynamic renal function with CT-scan based correction for aberrant muscle mass to estimate renal function immediately after CRRT cessation. We prospectively included 31 patients admitted to an academic intensive care unit (ICU) with a total of 37 CRRT cessations and measured serum creatinine before cessation (T1), directly (T2) and 5 h (T3) after cessation and the following two days when eGFR stabilized (T4, T5). We used the dynamic creatinine clearance calculation (D3C) equation to calculate eGFR (D3C
Identifiants
pubmed: 39256537
doi: 10.1038/s41598-024-72069-9
pii: 10.1038/s41598-024-72069-9
doi:
Substances chimiques
Creatinine
AYI8EX34EU
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
21098Informations de copyright
© 2024. The Author(s).
Références
Tandukar, S. & Palevsky, P. M. Continuous renal replacement therapy: Who, when, why, and how. Chest 155(3), 626–638 (2019).
doi: 10.1016/j.chest.2018.09.004
pubmed: 30266628
Hoste, E. A. et al. Epidemiology of acute kidney injury in critically ill patients: The multinational AKI-EPI study. Intensive Care Med. 41(8), 1411–1423 (2015).
doi: 10.1007/s00134-015-3934-7
pubmed: 26162677
Schetz, M. Drug dosing in continuous renal replacement therapy: General rules. Curr. Opin. Crit. Care 13(6), 645–651 (2007).
doi: 10.1097/MCC.0b013e3282f0a3d3
pubmed: 17975384
Sunder, S. et al. Estimation of renal function in the intensive care unit: The covert concepts brought to light. J. Intensive Care 2(1), 31 (2014).
doi: 10.1186/2052-0492-2-31
pubmed: 25520843
pmcid: 4267588
Puthucheary, Z. A. et al. Acute skeletal muscle wasting in critical illness. JAMA 310(15), 1591–1600 (2013).
doi: 10.1001/jama.2013.278481
pubmed: 24108501
Levey, A. S. et al. A new equation to estimate glomerular filtration rate. Ann. Intern. Med. 150(9), 604–612 (2009).
doi: 10.7326/0003-4819-150-9-200905050-00006
pubmed: 19414839
pmcid: 2763564
Kashani, K., Rosner, M. H. & Ostermann, M. Creatinine: From physiology to clinical application. Eur. J. Intern. Med. 72, 9–14 (2020).
doi: 10.1016/j.ejim.2019.10.025
pubmed: 31708357
Levey, A. S. & Inker, L. A. Assessment of glomerular filtration rate in health and disease: A state of the art review. Clin. Pharmacol. Ther. 102(3), 405–419 (2017).
doi: 10.1002/cpt.729
pubmed: 28474735
Waikar, S. S. & Bonventre, J. V. Creatinine kinetics and the definition of acute kidney injury. J. Am. Soc. Nephrol. 20(3), 672–679 (2009).
doi: 10.1681/ASN.2008070669
pubmed: 19244578
pmcid: 2653692
Chen, S. Retooling the creatinine clearance equation to estimate kinetic GFR when the plasma creatinine is changing acutely. J. Am. Soc. Nephrol. 24(6), 877–888 (2013).
doi: 10.1681/ASN.2012070653
pubmed: 23704286
Pieters, T. T. et al. Early estimation of renal function after transplantation to enable appropriate dosing of critical drugs: Retrospective analysis of 103 patients in a single center. Clin. Pharmacokinet. 59, 1303–11 (2020).
doi: 10.1007/s40262-020-00893-z
pubmed: 32385733
pmcid: 7550320
Pieters, T. T. et al. Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals. Sci. Rep. 12(1), 9013 (2022).
doi: 10.1038/s41598-022-13145-w
pubmed: 35637278
pmcid: 9151677
van de Klundert, N., Holman, R., Dongelmans, D. A. & de Keizer, N. F. Data resource profile: The Dutch National Intensive Care Evaluation (NICE) registry of admissions to adult intensive care units. Int. J. Epidemiol. 44(6), 1850 (2015).
doi: 10.1093/ije/dyv291
pubmed: 26613713
Jones, J. D. & Burnett, P. C. Creatinine metabolism in humans with decreased renal function: Creatinine deficit. Clin. Chem. 20(9), 1204–1212 (1974).
doi: 10.1093/clinchem/20.9.1204
pubmed: 4606394
Chow, M. S. A method for determining the pharmacokinetics of endogenous creatinine without exogenous creatinine administration. Biopharm. Drug Dispos. 6(2), 201–208 (1985).
doi: 10.1002/bdd.2510060210
pubmed: 3890979
Coroas, A. et al. Sequential body composition analysis by bioimpedance early post-kidney transplantation. Transpl. Int. 18(5), 541–547 (2005).
doi: 10.1111/j.1432-2277.2005.00086.x
pubmed: 15819802
Uchino, S. et al. Discontinuation of continuous renal replacement therapy: A post hoc analysis of a prospective multicenter observational study. Crit. Care Med. 37(9), 2576–2582 (2009).
doi: 10.1097/CCM.0b013e3181a38241
pubmed: 19623048
Mendu, M. L. et al. A decision-making algorithm for initiation and discontinuation of RRT in severe AKI. Clin. J. Am. Soc. Nephrol. 12(2), 228–236 (2017).
doi: 10.2215/CJN.07170716
pubmed: 28119408
pmcid: 5293339
Network VNARFT et al. Intensity of renal support in critically ill patients with acute kidney injury. N. Engl. J. Med. 359(1), 7–20 (2008).
doi: 10.1056/NEJMoa0802639
Yoshida, T. et al. Kinetic estimated glomerular filtration rate as a predictor of successful continuous renal replacement therapy discontinuation. Nephrology (Carlton) https://doi.org/10.1111/nep.13396 (2018).
doi: 10.1111/nep.13396
pubmed: 28387984