Predictors of Discrepancies Between Cockcroft-Gault and Chronic Kidney Disease-EPI Creatinine-Cystatin in Hospitalized Patients

This study concluded that eCrCl may exceed eGFRcr-cys by >25 mL/min in patients presenting for hospital admission with one or more predictors: age <58 years, weight >105 kg, intensive care unit (ICU) admission, or diagnosis of paraplegia or quadriplegia. Current literature suggests improved accuracy of renal clearance estimations with eGFRcr-cys. Accordingly, practitioners should consider eGFRcr-cys when evaluating new admissions with these characteristics.

Authors

Institutions

Publication Details

Journal
Annals of Pharmacotherapy
Published
2025-08-27
DOI
https://doi.org/10.1177/10600280251356492
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of Discrepancies Between Cockcroft-Gault and Chronic Kidney Disease-EPI Creatinine-Cystatin in Hospitalized Patients

S Poole, Jordan L. Kelley, Aric D. Schadler, H.L. Matthews et al.
Annals of Pharmacotherapy
Chronic Kidney Disease and Diabetes
article

Predictors of Discrepancies Between Cockcroft-Gault and Chronic Kidney Disease-EPI Creatinine-Cystatin in Hospitalized Patients

S Poole, Jordan L. Kelley, Aric D. Schadler, H.L. Matthews, Ann Marie Stoll, Charles Cornett, A. Leonhard, Audis Bethea, Alexandra Sutphin, Eden Brewington
article en

Abstract

This study concluded that eCrCl may exceed eGFRcr-cys by >25 mL/min in patients presenting for hospital admission with one or more predictors: age <58 years, weight >105 kg, intensive care unit (ICU) admission, or diagnosis of paraplegia or quadriplegia. Current literature suggests improved accuracy of renal clearance estimations with eGFRcr-cys. Accordingly, practitioners should consider eGFRcr-cys when evaluating new admissions with these characteristics.

Annals of PharmacotherapyVol. 60(4)
University of Kentucky HealthCare (US), University of Kentucky (US), Cincinnati Health Department (US), University of Cincinnati (US), University of Cincinnati Medical Center (US)
National Center for Advancing Translational Sciences
Openalex Percentile: Top 76%
Chronic Kidney Disease and Diabetes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.