{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T16:59:03Z","timestamp":1767891543799,"version":"3.49.0"},"reference-count":19,"publisher":"American Institute of Mathematical Sciences (AIMS)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MBE"],"published-print":{"date-parts":[[2021]]},"abstract":"<jats:p xml:lang=\"fr\">&lt;abstract&gt;\n\t\t\t&lt;p&gt;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 (CL&lt;sub&gt;Cr&lt;\/sub&gt;) is readily estimated taking into account patients' biological sex, age, body composition, and sometimes race. In this work, differences in estimated CL&lt;sub&gt;Cr&lt;\/sub&gt; between different equations were studied and the influence of some patients' characteristics evaluated. Data collected from 82 inpatients receiving antibiotic therapy was analyzed and CL&lt;sub&gt;Cr&lt;\/sub&gt; 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 CL&lt;sub&gt;Cr&lt;\/sub&gt; in almost all groups.&lt;\/p&gt;\n\t\t&lt;\/abstract&gt;<\/jats:p>","DOI":"10.3934\/mbe.2021287","type":"journal-article","created":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T08:32:07Z","timestamp":1624437127000},"page":"5680-5691","source":"Crossref","is-referenced-by-count":5,"title":["A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort"],"prefix":"10.3934","volume":"18","author":[{"given":"Abigail","family":"Ferreira","sequence":"first","affiliation":[]},{"name":"OncoPharma Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Dr. Pl\u00e1cido da Costa, Porto 4200-450, Portugal","sequence":"first","affiliation":[]},{"given":"Rui","family":"Lapa","sequence":"additional","affiliation":[]},{"given":"Nuno","family":"Vale","sequence":"additional","affiliation":[]},{"name":"LAQV\/REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, 228, Porto 4050-313, Portugal","sequence":"additional","affiliation":[]},{"name":"Department of Community Medicine, Health Information and Decision (MEDCIDS), Faculty of Medicine, University of Porto, Al. Prof. Hernani Monteiro, Porto 4200-319, Portugal","sequence":"additional","affiliation":[]}],"member":"2321","reference":[{"key":"key-10.3934\/mbe.2021287-1","unstructured":"<i>National Kidney Foundation<\/i>, <i>Estimated Glomerular Filtration Rate (eGFR)<\/i>, Available from: <a href=\"https:\/\/www.kidney.org\/atoz\/content\/gfr\" target=\"_blank\">https:\/\/www.kidney.org\/atoz\/content\/gfr<\/a>."},{"key":"key-10.3934\/mbe.2021287-2","unstructured":"A. S. Levey, J. Coresh, K. Bolton, B. Culleton, K. S. Harvey, T. A. Ikizler, et al., K\/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification, <i>Am. J. Kidney Dis.<\/i> <b>39<\/b> (2002), S1-266."},{"key":"key-10.3934\/mbe.2021287-3","doi-asserted-by":"crossref","unstructured":"L. A. Stevens, J. Coresh, T. Greene, A. S. Levey, Assessing kidney function-measured and estimated glomerular filtration rate, <i>New Engl. J. Med.<\/i>, <b>354<\/b> (2006), 2473-2483.","DOI":"10.1056\/NEJMra054415"},{"key":"key-10.3934\/mbe.2021287-4","unstructured":"<i>Amikacin<\/i>, <i>DrugBank<\/i>, 2021. Available from: <a href=\"https:\/\/go.drugbank.com\/drugs\/DB00479\" target=\"_blank\">https:\/\/go.drugbank.com\/drugs\/DB00479<\/a>."},{"key":"key-10.3934\/mbe.2021287-5","doi-asserted-by":"crossref","unstructured":"A. Aminimanizani, P. Beringer, J. Kang, L. Tsang, R. W. Jelliffe, B. J. Shapiro, Distribution and elimination of tobramycin administered in single or multiple daily doses in adult patients with cystic fibrosis, <i>J. Antimicrob. Chemother.<\/i>, <b>50<\/b> (2002), 553-559.","DOI":"10.1093\/jac\/dkf168"},{"key":"key-10.3934\/mbe.2021287-6","unstructured":"<i>Gentamicin<\/i>, <i>DrugBank<\/i>, 2021. Available from: <a href=\"https:\/\/go.drugbank.com\/drugs\/DB00798\" target=\"_blank\">https:\/\/go.drugbank.com\/drugs\/DB00798<\/a>."},{"key":"key-10.3934\/mbe.2021287-7","doi-asserted-by":"crossref","unstructured":"J. Gon\u00e7alves-Pereira, A. Martins, P. P\u00f3voa, Pharmacokinetics of gentamicin in critically ill patients: pilot study evaluating the first dose, <i>Clin. Microbiol. Infect.<\/i>, <b>16<\/b> (2010), 1258-1263.","DOI":"10.1111\/j.1469-0691.2009.03074.x"},{"key":"key-10.3934\/mbe.2021287-8","unstructured":"Tobramycin, DrugBank, 2021. Available from: <a href=\"https:\/\/go.drugbank.com\/drugs\/DB00684\" target=\"_blank\">https:\/\/go.drugbank.com\/drugs\/DB00684<\/a>."},{"key":"key-10.3934\/mbe.2021287-9","unstructured":"<i>Tobramycin for injection<\/i>, <i>Medscape<\/i>, 2021. Available from: <a href=\"https:\/\/reference.medscape.com\/drug\/nebcin-injection-tobramycin-342521#10\" target=\"_blank\">https:\/\/reference.medscape.com\/drug\/nebcin-injection-tobramycin-342521#10<\/a>."},{"key":"key-10.3934\/mbe.2021287-10","unstructured":"<i>Vancomycin<\/i>, <i>DrugBank<\/i>, 2021. Available from: <a href=\"https:\/\/go.drugbank.com\/drugs\/DB00512\" target=\"_blank\">https:\/\/go.drugbank.com\/drugs\/DB00512<\/a>."},{"key":"key-10.3934\/mbe.2021287-11","unstructured":"D. D. Bois, A formula to estimate the approximate surface area if height and weight be known, <i>Nutrition<\/i>, <b>5<\/b> (1989), 303-313."},{"key":"key-10.3934\/mbe.2021287-12","doi-asserted-by":"crossref","unstructured":"D. W. Cockcroft, M. H. Gault, Prediction of creatinine clearance from serum creatinine, <i>Nephron<\/i>, <b>16<\/b> (1976), 31-41.","DOI":"10.1159\/000180580"},{"key":"key-10.3934\/mbe.2021287-13","doi-asserted-by":"crossref","unstructured":"R. W. Jelliffe, Creatinine clearance: bedside estimate, <i>Ann. Intern. Med.<\/i>, <b>79<\/b> (1973), 604-605.","DOI":"10.7326\/0003-4819-79-4-604"},{"key":"key-10.3934\/mbe.2021287-14","doi-asserted-by":"crossref","unstructured":"J. G. Wright, A. V. Boddy, M. Highley, J. Fenwick, A. McGill, A. H. Calvert, Estimation of glomerular filtration rate in cancer patients, <i>Br. J. Cancer<\/i>, <b>84<\/b> (2001), 452-459.","DOI":"10.1054\/bjoc.2000.1643"},{"key":"key-10.3934\/mbe.2021287-15","doi-asserted-by":"crossref","unstructured":"D. E. Salazar, G. B. Corcoran, Predicting creatinine clearance and renal drug clearance in obese patients from estimated fat-free body mass, <i>Am. J. Med.<\/i>, <b>84<\/b> (1988), 1053-1060.","DOI":"10.1016\/0002-9343(88)90310-5"},{"key":"key-10.3934\/mbe.2021287-16","doi-asserted-by":"crossref","unstructured":"B. Devine, Gentamicin therapy, <i>Drug Intell. Clin. 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Pharmacokinet.<\/i>, <b>44<\/b> (2005), 1051-1065.","DOI":"10.2165\/00003088-200544100-00004"}],"container-title":["Mathematical Biosciences and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/www.aimspress.com\/article\/doi\/10.3934\/mbe.2021287?viewType=html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T21:22:45Z","timestamp":1631481765000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.aimspress.com\/article\/doi\/10.3934\/mbe.2021287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":19,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2021]]}},"URL":"https:\/\/doi.org\/10.3934\/mbe.2021287","relation":{},"ISSN":["1551-0018"],"issn-type":[{"value":"1551-0018","type":"print"}],"subject":[],"published":{"date-parts":[[2021]]}}}