Goce Dimeski1, Brock W Jones. 1. Department of Chemical Pathology, Pathology Queensland, Princess Alexandra Hospital, Brisbane, Australia. goce_dimeski@health.qld.gov.au
Abstract
INTRODUCTION: Reducing laboratory errors and improving patient safety is receiving a lot of attention. Lipaemic samples are cause of analytical errors and present challenges for laboratories, particularly for those without ultracentrifuges. Lipaemia can originate from physiological (postprandial metabolism), para-physiological causes (e.g. IV administration of lipids) as well as metabolic disturbances (e.g. hypertriglyceridaemia). MATERIALS AND METHODS: We have evaluated a procedure with 10 native lipaemic sample pools (triglyceride concentration range 11.6-42.7 mmol/L) for the ability to reduce lipid concentration using a high speed micro-centrifuge (double centrifuged at 21.885 x g for 15 min) compared with an ultracentrifuge, and provide accurate results. Results of sodium, creatinine, urate, total protein, lactate dehydrogenase (LD), magnesium and, cholesterol and triglyceride analysis on a Beckman DxC800 analyser are presented. RESULTS: Data from our tertiary level hospital showed approximately 0.7% of the samples received for lipid studies have triglyceride levels > 10 mmol/L which can potentially cause analytical interference. The mean differences from the neat aliquot to the ultracentrifuged and high speed centrifuged sample pools were: cholesterol 4.9 mmol/L and 3.1 mmol/L; and triglycerides 17.4 mmol/L and 15.0 mmol/L respectively. The data confirms high speed centrifugation is almost as effective as ultracentrifugation in lipid reduction. CONCLUSION: The procedure utilized in this study using a high speed micro-centrifuge showed it is effective in reducing lipid levels and provides a suitable alternative to ultracentrifuged samples to provide accurate results.
INTRODUCTION: Reducing laboratory errors and improving patient safety is receiving a lot of attention. Lipaemic samples are cause of analytical errors and present challenges for laboratories, particularly for those without ultracentrifuges. Lipaemia can originate from physiological (postprandial metabolism), para-physiological causes (e.g. IV administration of lipids) as well as metabolic disturbances (e.g. hypertriglyceridaemia). MATERIALS AND METHODS: We have evaluated a procedure with 10 native lipaemic sample pools (triglyceride concentration range 11.6-42.7 mmol/L) for the ability to reduce lipid concentration using a high speed micro-centrifuge (double centrifuged at 21.885 x g for 15 min) compared with an ultracentrifuge, and provide accurate results. Results of sodium, creatinine, urate, total protein, lactate dehydrogenase (LD), magnesium and, cholesterol and triglyceride analysis on a Beckman DxC800 analyser are presented. RESULTS: Data from our tertiary level hospital showed approximately 0.7% of the samples received for lipid studies have triglyceride levels > 10 mmol/L which can potentially cause analytical interference. The mean differences from the neat aliquot to the ultracentrifuged and high speed centrifuged sample pools were: cholesterol 4.9 mmol/L and 3.1 mmol/L; and triglycerides 17.4 mmol/L and 15.0 mmol/L respectively. The data confirms high speed centrifugation is almost as effective as ultracentrifugation in lipid reduction. CONCLUSION: The procedure utilized in this study using a high speed micro-centrifuge showed it is effective in reducing lipid levels and provides a suitable alternative to ultracentrifuged samples to provide accurate results.
Authors: María José Castro-Castro; Beatriz Candás-Estébanez; Margarita Esteban-Salán; Pilar Calmarza; Teresa Arrobas-Velilla; Carlos Romero-Román; Miguel Pocoví-Mieras; José Ángel Aguilar-Doreste Journal: Ann Lab Med Date: 2018-11 Impact factor: 3.464
Authors: Janne Cadamuro; Giuseppe Lippi; Alexander von Meyer; Mercedes Ibarz; Edmee van Dongen; Michael Cornes; Mads Nybo; Pieter Vermeersch; Kjell Grankvist; Joao Tiago Guimaraes; Gunn B B Kristensen; Barbara de la Salle; Ana-Maria Simundic Journal: Biochem Med (Zagreb) Date: 2019-06-15 Impact factor: 2.313