A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Ferreira, A (Author) FEUP; Lapa, R (Author) Other; Nuno Vale (Author) FMUP

Journal

Title: Mathematical Biosciences and Engineering

Vol. 18

Pages: 5680-5691

ISSN: 1547-1063

Publisher: Arizona State University

Indexing

ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: P-00V-34F

DOI: 10.3934/mbe.2021287

Abstract (EN): Renal elimination is an important part of drugs' excretion. At the same time, renal function can be impaired as a side effect of medication, particularly during prolonged treatments. Thus, the assessment of patients' renal function is of major consequence, especially in cases where the therapeutic regimen is adjusted taking into consideration renal clearance. Serum creatinine concentration is the most common indicator of renal clearance, since the most accurate indicator, glomerular filtration rate (GFR), is not easily measured. Using equations developed over the last decades, creatinine clearance (CLcr) is readily estimated taking into account patients' biological sex, age, body composition, and sometimes race. In this work, differences in estimated CLcr between different equations were studied and the influence of some patients' characteristics evaluated. Data collected from 82 inpatients receiving antibiotic therapy was analyzed and CLcr was estimated using a total of 12 equations. Patients were stratified according to their sex, age, and body composition to shed some light on the impact of these parameters in the estimations of renal function. More variability between estimation methods was highlighted (a) in patients between 51 and 60 years old, (b) within the normal body mass index group, and (c) in patients with serum creatinine levels below normal criteria. Furthermore, the Cockcroft-Gault equation considering lean body weight produced lower estimated CLcr in almost all groups.

Language: English

Type (Professor's evaluation): Dissemination

No. of pages: 12