Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic Panels.

Background Intravenous (IV) fluid contamination within clinical specimens causes an operational burden on the laboratory when detected, and potential patient harm when undetected. Even mild contamination is often sufficient to meaningfully alter results across multiple analytes. A recently reported...

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Bibliographic Details

Published in:	Clinical Chemistry Vol. 71; no. 2; pp. 296 - 307
Main Authors:	Spies, Nicholas C, Militello, Leah, Farnsworth, Christopher W, El-Khoury, Joe M, Durant, Thomas J S, Zaydman, Mark A
Format:	Journal Article
Published:	Oxford University Press / USA Feb2025
Online Access:	View this record in EBSCOhost