Brie A Stotler1, Alexander Kratz. 1. New York-Presbyterian Hospital, Core Laboratory, 622 W 168th St, PH3-363, New York, NY 10032; e-mail: ak2651@columbia.edu.
Abstract
OBJECTIVES: To describe validation and performance of epoc, a blood gas analysis point-of-care system, in a live clinical setting. METHODS: Data were collected for 156 epoc systems over 12 months. Preimplementation precision and correlation studies and postimplementation quality assurance data were collected, including test card, reader, and personal data assistant (PDA) failure rates. RESULTS: The coefficient of variation was clinically acceptable for all analytes. Correlation studies yielded an R(2) from 0.901 (for sodium) to 0.994 (for potassium) with the Nova analyzer and from 0.961 (sodium) to 0.991 (glucose) with the i-STAT. Average test card failure rate was 13%. Of the PDA/reader units, 55% needed repair within 1 year. CONCLUSIONS: The analytical performance showed high precision and good correlation with the Nova and i-STAT platforms. Test card and instrument failure rates were higher than that of the i-STAT system.
OBJECTIVES: To describe validation and performance of epoc, a blood gas analysis point-of-care system, in a live clinical setting. METHODS: Data were collected for 156 epoc systems over 12 months. Preimplementation precision and correlation studies and postimplementation quality assurance data were collected, including test card, reader, and personal data assistant (PDA) failure rates. RESULTS: The coefficient of variation was clinically acceptable for all analytes. Correlation studies yielded an R(2) from 0.901 (for sodium) to 0.994 (for potassium) with the Nova analyzer and from 0.961 (sodium) to 0.991 (glucose) with the i-STAT. Average test card failure rate was 13%. Of the PDA/reader units, 55% needed repair within 1 year. CONCLUSIONS: The analytical performance showed high precision and good correlation with the Nova and i-STAT platforms. Test card and instrument failure rates were higher than that of the i-STAT system.
Entities:
Keywords:
Blood gas analysis; Evaluation; Point-of-care testing; epoc
Authors: Janek Nawrocki; Michael Furian; Aline Buergin; Laura Mayer; Simon Schneider; Maamed Mademilov; Madeleine S Bloch; Talant M Sooronbaev; Silvia Ulrich; Konrad E Bloch Journal: Front Physiol Date: 2021-01-08 Impact factor: 4.566
Authors: Marilyn B Nourse; Kate Engel; Samartha G Anekal; Jocelyn A Bailey; Pradeep Bhatta; Devayani P Bhave; Shekar Chandrasekaran; Yutao Chen; Steven Chow; Ushati Das; Erez Galil; Xinwei Gong; Steven F Gessert; Kevin D Ha; Ran Hu; Laura Hyland; Arvind Jammalamadaka; Karthik Jayasurya; Timothy M Kemp; Andrew N Kim; Lucie S Lee; Yang Lily Liu; Alphonso Nguyen; Jared O'Leary; Chinmay H Pangarkar; Paul J Patel; Ken Quon; Pradeep L Ramachandran; Amy R Rappaport; Joy Roy; Jerald F Sapida; Nikolay V Sergeev; Chandan Shee; Renuka Shenoy; Sharada Sivaraman; Bernardo Sosa-Padilla; Lorraine Tran; Amanda Trent; Thomas C Waggoner; Dariusz Wodziak; Amy Yuan; Peter Zhao; Daniel L Young; Channing R Robertson; Elizabeth A Holmes Journal: Bioeng Transl Med Date: 2018-01-19