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dc.contributor.advisorNix, David E.en
dc.contributor.authorFortin, Carol M.
dc.date.accessioned2017-07-12T16:53:25Z
dc.date.available2017-07-12T16:53:25Z
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/10150/624684
dc.descriptionClass of 2006 Abstracten
dc.description.abstractObjectives: To develop a new equation to predict creatinine clearance specific for cystic fibrosis patients. Methods: A literature review was performed to capture data on the daily creatinine excretion in CF patients in relation to age, weight, height, and other physiologic variables. Nonlinear mixed effect modeling was then used to develop an equation to estimate creatinine clearance using individual covariates. The performance of the new equation developed was compared to the Cockcroft and Gault method in a CF population (age > 16 years). Results: A database of individual patient data from a previously published study of 19 patients was created. Significant covariates for model development included actual body weight, sex, and serum creatinine. The final candidate model was: 5.62× ABW0.67 CrCl = sCr(mg / dl) × 0.649( female) Conclusions: The results of the mean absolute error and root mean squared error calculations show that the new equation resulted in less bias and better precision than Cockcroft-Gault, Jeliffe I, and Jeliffe II based on the limited data available. However, these conclusions are limited in that the only evaluation data available was the same data that was used for model development.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectCreatinineen
dc.subjectClearance Estimationen
dc.subjectCystic Fibrosisen
dc.subject.meshCystic Fibrosisen
dc.subject.meshCreatinineen
dc.titleCreatinine Clearance Estimation in Cystic Fibrosis Patientsen_US
dc.typetexten
dc.typeElectronic Reporten
dc.contributor.departmentCollege of Pharmacy, The University of Arizonaen
dc.description.collectioninformationThis item is part of the Pharmacy Student Research Projects collection, made available by the College of Pharmacy and the University Libraries at the University of Arizona. For more information about items in this collection, please contact Jennifer Martin, Librarian and Clinical Instructor, Pharmacy Practice and Science, jenmartin@email.arizona.edu.en
html.description.abstractObjectives: To develop a new equation to predict creatinine clearance specific for cystic fibrosis patients. Methods: A literature review was performed to capture data on the daily creatinine excretion in CF patients in relation to age, weight, height, and other physiologic variables. Nonlinear mixed effect modeling was then used to develop an equation to estimate creatinine clearance using individual covariates. The performance of the new equation developed was compared to the Cockcroft and Gault method in a CF population (age > 16 years). Results: A database of individual patient data from a previously published study of 19 patients was created. Significant covariates for model development included actual body weight, sex, and serum creatinine. The final candidate model was: 5.62× ABW0.67 CrCl = sCr(mg / dl) × 0.649( female) Conclusions: The results of the mean absolute error and root mean squared error calculations show that the new equation resulted in less bias and better precision than Cockcroft-Gault, Jeliffe I, and Jeliffe II based on the limited data available. However, these conclusions are limited in that the only evaluation data available was the same data that was used for model development.


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