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Start Over Descriptor "Triacylglycerol blood level" Journal clinical chemistry and laboratory medicine
2 results on '"Triacylglycerol blood level"'

1. Uncertainty in measurement for 43 biochemistry, immunoassay, and hemostasis routine analytes evaluated by a method using only external quality assessment data

Author

Karim Chikh, Catherine Sotta, Bernard Poggi, Anne-Claude Renard, Jean-Christophe Eynard, Régine Cartier, Chantal Bon, Gladys Matar, Laurence Chardon, Roland Meley, Richard B. Cohen, Métabolisme, Enzymes et Mécanismes Moléculaires (MEM²), Institut de Chimie et Biochimie Moléculaires et Supramoléculaires (ICBMS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut de Chimie du CNRS (INC)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut de Chimie du CNRS (INC)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS), University Hospital and University Jean Monnet, Matériaux, ingénierie et science [Villeurbanne] (MATEIS), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
030213 general clinical medicine, Percentile, iron blood level, chloride, Quality Assurance, Health Care, alpha fetoprotein, Clinical Biochemistry, 030204 cardiovascular system & hematology, phosphate blood level, magnesium, [SPI.MAT]Engineering Sciences [physics]/Materials, 0302 clinical medicine, iron, aspartate aminotransferase, partial thromboplastin time, follitropin blood level, calcium blood level, creatine kinase blood level, glucose, sodium, bilirubin blood level, Immunoassay, medicine.diagnostic_test, potassium, creatinine, Uncertainty, General Medicine, CA 15-3 antigen, Biochemistry, health care quality, priority journal, gamma glutamyltransferase, Measurement uncertainty, bilirubin, triacylglycerol, alpha fetoprotein blood level, chloride blood level, alkaline phosphatase, follitropin, bicarbonate blood level, Quality Control, Analyte, amylase, sodium blood level, CA 125 antigen, alanine aminotransferase, bicarbonate, urea, prostate specific antigen, Article, alkaline phosphatase blood level, 03 medical and health sciences, evaluation study, urea blood level, Linear regression, External quality assessment, Proficiency testing, medicine, triacylglycerol lipase blood level, biochemistry, Humans, procedures, human, phosphate, potassium blood level, Hemostasis, calcium, business.industry, lactate dehydrogenase blood level, creatine kinase, carcinoembryonic antigen, Biochemistry (medical), statistical model, cholesterol, lactate dehydrogenase, triacylglycerol blood level, external quality assessment, triacylglycerol lipase, prothrombin time, major clinical study, blood clotting time, Health Care, CA 19-9 antigen, linear regression analysis, Linear Models, urate, business, Quality Assurance, gamma glutamyl transferase blood level, aspartate aminotransferase blood level, Quality assurance, alanine aminotransferase blood level
Abstract

International organizations require from medical laboratories a quantitative statement of the uncertainty in measurement (UM) to help interpret patient results. The French accreditation body (COFRAC) recommends an approach (SH GTA 14 IQC/EQA method) using both internal quality control (IQC) and external quality assessment (EQA) data. The aim of this work was to validate an alternative way to quantify UM using only EQA results without any need for IQC data. This simple and practical method, which has already been described as the long-term evaluation of the UM (LTUM), is based on linear regression between data obtained by participants in EQA schemes and target values. We used it for 43 routine analytes covering biochemistry, immunoassay, and hemostasis fields.Data from 50 laboratories participating in ProBioQual (PBQ) EQA schemes over 25 months were used to obtain estimates of the median and 90th percentile LTUM and to compare them to the usual analytical goals. Then, the two UM estimation methods were compared using data from 20 laboratories participating in both IQC and EQA schemes.Median LTUMs ranged from 2.9% (sodium) to 16.3% (bicarbonates) for biochemistry analytes, from 12.6% (prothrombin time) to 18.4% (factor V) for hemostasis analytes when using the mean of all participants, and were around 10% for immunoassays when using the peer-group mean. Median LTUMs were, in most cases, slightly lower than those obtained with the SH GTA 14 method, whatever the concentration level.LTUM is a simple and convenient method that gives UM estimates that are reliable and comparable to those of recommended methods. Therefore, proficiency testing (PT) organizers are allowed to provide participants with an additional UM estimate using only EQA data and which could be updated at the end of each survey.

Published
2014

2. A multicenter nationwide reference intervals study for common biochemical analytes in Turkey using Abbott analyzers

Author

Evin Ademoglu, Okhan Akin, Ali Riza Sisman, Nurzen Sezgin, Mustafa Orkmez, Sehavet Tezcan, Ali Okuyucu, Melahat Dirican, Abdulkerim Bedir, Turkan Nogay, Doğan Yücel, Pinar Akan, Ayse Binnur Erbagci, GulOzlem Tuncer, Mehmet Gurbilek, Ebubekir Bakan, Ozgur Kadicesme, Murat Can, Selda Erdinc, Canan Çoker, Onur Bahceci, Fatma Taneli, Diler Aslan, Nezaket Eren, Mehmet Aykus, Harun Polat, Nuriye Mete, Elif Degirmen, Damla Kayaalp, Kübra Doğan, Sebahat Ozdem, Yeliz Gunes, Necip Ilhan, Reo Kawano, Dilek Sadak Atali, Osman Evliyaoglu, Orhan Deger, Cigdem Damla Cetinkaya, Husamettin Vatansev, Muhittin Serdar, Bahadir Ozturk, Halide Akbas, Sevda Unalli Ozmen, Yesim Ozarda, Kiyoshi Ichihara, Meltem Demir, Gultekin Yucel, Aysel Kiyici, Tevfik Noyan, Gürbüz Polat, Ismail Kurt, Hulya Aybek, Ayşem Kaya, Ozlem Demirpence, Suret Agac, Asli Pinar, Zeki Ari, Zonguldak Bülent Ecevit Üniversitesi, and Ondokuz Mayıs Üniversitesi

Subjects
Male, chloride, creatinine blood level, Turkey, bilirubin glucuronide, Body Mass Index, aspartate aminotransferase, Reference Values, middle aged, sodium, Organic chemicals, adult, creatinine, clinical trial, General Medicine, Blood Proteins, Lipids, aged, multivariate analysis, biochemical parameters, albumin blood level, chloride blood level, chemical analyzer, uric acid blood level, medicine.medical_specialty, sodium blood level, organic compound, Potassium blood level, Article, alkaline phosphatase blood level, uric acid, lipid, nonparametric test, Humans, human, normal human, Aged, parametric test, standardization, multiple regression, clinical chemistry, triacylglycerol blood level, Reference intervals, inorganic compound, glucose blood level, multicenter study, age, plasma protein, Inorganic Chemicals, Reference values, common reference intervals, low density lipoprotein, Pediatrics, correlation analysis, Clinical Biochemistry, cholesterol blood level, magnesium, phosphate blood level, nitrogen, urea nitrogen blood level, blood analysis, calcium blood level, creatine kinase blood level, Alanine aminotransferase, glucose, Organic Chemicals, bilirubin blood level, amylase blood level, potassium, Age Factors, Middle Aged, magnesium blood level, female, gamma glutamyltransferase, high density lipoprotein, standards, blood sampling, Female, bilirubin, triacylglycerol, alkaline phosphatase, Adult, analysis of variance, Turkish population, amylase, alanine aminotransferase, sex difference, Clinical Chemistry Tests, lipoprotein blood level, blood, Internal medicine, medicine, controlled study, albumin, phosphate, potassium blood level, Analysis of Variance, calcium, business.industry, creatine kinase, lactate dehydrogenase blood level, Biochemistry (medical), reference value, lactate dehydrogenase, body mass, Multicenter study, protein blood level, Multivariate Analysis, Turk (people), business, protein, aspartate aminotransferase blood level, gamma glutamyl transferase blood level, alanine aminotransferase blood level, Blood sampling, regional differences
Abstract

Background: A nationwide multicenter study was organized to establish reference intervals (RIs) in the Turkish population for 25 commonly tested biochemical analytes and to explore sources of variation in reference values, including regionality. Methods: Blood samples were collected nationwide in 28 laboratories from the seven regions (?400 samples/region, 3066 in all). The sera were collectively analyzed in Uludag University in Bursa using Abbott reagents and analyzer. Reference materials were used for standardization of test results. After secondary exclusion using the latent abnormal values exclusion method, RIs were derived by a parametric method employing the modified Box-Cox formula and compared with the RIs by the non-parametric method. Three-level nested ANOVA was used to evaluate variations among sexes, ages and regions. Associations between test results and age, body mass index (BMI) and region were determined by multiple regression analysis (MRA). Results: By ANOVA, differences of reference values among seven regions were significant in none of the 25 analytes. Significant sex-related and age-related differences were observed for 10 and seven analytes, respectively. MRA revealed BMI-related changes in results for uric acid, glucose, triglycerides, high-density lipoprotein (HDL)-cholesterol, alanine aminotransferase, and ?-glutamyltransferase. Their RIs were thus derived by applying stricter criteria excluding individuals with BMI >28 kg/m2. Ranges of RIs by non-parametric method were wider than those by parametric method especially for those analytes affected by BMI. Conclusions: With the lack of regional differences and the well-standardized status of test results, the RIs derived from this nationwide study can be used for the entire Turkish population. © by De Gruyter 2014., Applied Scientific Research Fund: :24256003:2012-2014 Japan Society for the Promotion of Science, Acknowledgments: This study was supported by Research Fund of Uludag Universty (UAP(T)-2011/48), IFCC C-RIDL, Scientific Research Fund (No:24256003:2012-2014) provided by the Japan Society for the Promotion of Science, Abbott Diagnostics and Becton Dickinson. We had invaluable input from the IFCC C-RIDL and the Turkish National Biochemical Association. We are very grateful to Uludag University Central Laboratory, We are thankful to David Ambruster from Abbott Diagnostics for his kind cooperation to realize this study. The final manuscript was edited with generous support by Prof. A. Myron Johnson.

Published
2014

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