| Literature DB >> 33753973 |
Adrian Hoenle1,2,3, Karin Johanna Haase4, Sebastian Maus5, Manfred Hofmann6, Matthias Orth1.
Abstract
Patients with impaired renal function are at high risk for morbidity and mortality. Chronic kidney disease (CKD) even in the early stages can be associated with significant side effects of drug therapy, longer length of stay, and high costs. Correct assessment of renal function in the hospital is important to detect CKD, to avoid further damage to the kidneys, and to optimize pharmacological therapy. Current protocols for renal function testing in drug dosing are only creatinine based, are not robust enough, and can wrongly classify certain patients. Goal of our simulation study is to optimize noninvasive renal function estimates and to allow for optimal dosing of pharmacological treatment without further renal damage. Co-reporting of creatinine- and of cystatin C-derived estimated glomerular filtration rates (eGFR) allows a personalized approach for patients with large discrepancies in eGFR and it enabled us in detecting patients at high risk for side effects due to incorrect drug dosing. This approach might be highly effective for patients as well as for clinicians. In addition, we simulated the efficiency by estimating savings for the hospital administration and the payor with a benefit cost ratio of 58 to 1.Entities:
Keywords: co-reporting; creatinine; cystatin C; drug dosing; glomerular filtration rate; patient safety
Year: 2021 PMID: 33753973 PMCID: PMC7941064
Source DB: PubMed Journal: EJIFCC ISSN: 1650-3414
Figure 1Mean age-dependent decline of eGFR calculated by different estimations. Total number of patients n=63,383*
Figure 2Number of patients according to the CKD stages in 2018. Total number of patients n=63,383
Figure 3Individual difference and cumulative frequency between creatinine-and cystatin C-derived eGFR in patients with CKD stages 3A and 3B (as determined by creatinine-derived eGFR)
Figure 4Simulation of monetary benefits of adjusting chemotherapies by the individualized approach triggered by co-reporting of eGFRs*