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Publication Information
Affiliation
Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA.; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.; Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA.; Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.; Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.; Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.; Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, Utah, USA.; Division of Nephrology and Hypertension, Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.; Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA, joeix@health.ucsd.edu.
Authors
Webster Luke, Larive Brett, Gassman Jennifer, Bullen Alexander, Weisbord Steven D., Palevsky Paul M., Fried Linda, Raphael Kalani, Isakova Tamara, Ix Joachim H.
Studies
Abstract
Accurate assessment of urine flow remains challenging in both inpatient and outpatient settings.We hypothesized we could derive an equation that would accurately estimate urine flow rate (eV) through derivation from other existing equations commonly used in nephrology clinical practice.