Yasemin Ustundag-Budak1, Kagan Huysal2. 1. Department of Clinical Biochemistry, Saglik Bilimleri University, Bursa Yuksek Ihtisas Training and Research Hospital , Bursa, Turkey . 2. Department of Clinical Biochemistry, Saglik Bilimleri University , Bursa Yuksek Ihtisas Training and Research Hospital, Bursa, Turkey .
Abstract
INTRODUCTION: Electrolytes have a narrow range of biological variation and small changes are clinically significant. It is important to select the best method for clinical decision making and patient monitoring in the emergency room. The sigma metrics model provides an objective method to evaluate the performance of a method. AIM: To calculate sigma metrics for electrolytes measured with one arterial blood gas analyser including two auto-analysers that use different technologies. To identify the best approach for electrolyte monitoring in an emergency setting and the context of routine emergency room workflow. MATERIALS AND METHODS: The Coefficient of Variation (CV) was determined from Internal Quality Control (IQC). Data was measured from July 2015 to January 2016 for all three analysers. The records of KBUD external quality data (Association of Clinical Biochemists, Istanbul, Turkey) for both Mindray BS-2000M analyser (Mindray, Shenzhen, China) and Architect C16000 (Abbott Diagnostics, Abbott Park, IL) and MLE clinical laboratory evaluation program (Washington, DC, USA) for Radiometer ABL 700 (Radiometer Trading, Copenhagen, Denmark) during the study period were used to determine the bias. RESULTS: The calculated average sigma values for sodium (-1.1), potassium (3.3), and chloride (0.06) were with the Radiometer ABL700. All calculated sigma values were better than the auto-analysers. CONCLUSION: The sigma values obtained from all analysers suggest that running more controls and increasing the calibration frequency for electrolytes is necessary for quality assurance.
INTRODUCTION: Electrolytes have a narrow range of biological variation and small changes are clinically significant. It is important to select the best method for clinical decision making and patient monitoring in the emergency room. The sigma metrics model provides an objective method to evaluate the performance of a method. AIM: To calculate sigma metrics for electrolytes measured with one arterial blood gas analyser including two auto-analysers that use different technologies. To identify the best approach for electrolyte monitoring in an emergency setting and the context of routine emergency room workflow. MATERIALS AND METHODS: The Coefficient of Variation (CV) was determined from Internal Quality Control (IQC). Data was measured from July 2015 to January 2016 for all three analysers. The records of KBUD external quality data (Association of Clinical Biochemists, Istanbul, Turkey) for both Mindray BS-2000M analyser (Mindray, Shenzhen, China) and Architect C16000 (Abbott Diagnostics, Abbott Park, IL) and MLE clinical laboratory evaluation program (Washington, DC, USA) for Radiometer ABL 700 (Radiometer Trading, Copenhagen, Denmark) during the study period were used to determine the bias. RESULTS: The calculated average sigma values for sodium (-1.1), potassium (3.3), and chloride (0.06) were with the Radiometer ABL700. All calculated sigma values were better than the auto-analysers. CONCLUSION: The sigma values obtained from all analysers suggest that running more controls and increasing the calibration frequency for electrolytes is necessary for quality assurance.
Authors: C Ricós; V Alvarez; F Cava; J V García-Lario; A Hernández; C V Jiménez; J Minchinela; C Perich; M Simón Journal: Scand J Clin Lab Invest Date: 1999-11 Impact factor: 1.713
Authors: Christian H H Schoenmakers; Andre J M Naus; Henricus J Vermeer; Douwe van Loon; Gerard Steen Journal: Clin Chem Lab Med Date: 2011-07-29 Impact factor: 3.694