8 results on '"Joseph Henny"'
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2. Traceability of values for catalytic activity concentration of enzymes: a Certified Reference Material for aspartate transaminase
- Author
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Heinz Schimmel, Poul J. Jørgensen, Francesca Canalias, Georges Férard, F. Javier Gella, Joseph Henny, Shigeru Ueda, Mauro Panteghini, Daniel Mazziotta, Rainer Klauke, Hendrik Emons, Brigitte Toussaint, Jean Marc Lessinger, Steffen Dipl C Bossert-Reuther, Gerhard Schumann, Ferruccio Ceriotti, Carlo A. Ferrero, and Paul F H Franck
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Clinical Biochemistry ,Aspartate transaminase ,Human type ,Liver enzyme ,Animals ,Humans ,Medicine ,Aspartate Aminotransferases ,chemistry.chemical_classification ,Chromatography ,biology ,business.industry ,Biochemistry (medical) ,Uncertainty ,Serum Albumin, Bovine ,General Medicine ,Clinical Enzyme Tests ,Reference Standards ,Recombinant Proteins ,Enzyme ,Certified reference materials ,Biochemistry ,chemistry ,biology.protein ,Cattle ,Coverage factor ,business - Abstract
Background: A new reference material for the liver enzyme aspartate transaminase (AST) (L-aspartate: 2-oxoglutarate-aminotransferase, EC 2.6.1.1), also called aspartate aminotransferase (ASAT), has been developed under the code ERM-AD457/IFCC. This certified reference material (CRM) for AST has been produced from a human type recombinant AST expressed in Escherichia coli and a buffer containing bovine serum albumin, and has been lyophilised. Methods: The homogeneity and the stability of the material have been tested and the catalytic activity concentration has been characterised by 12 laboratories using the reference procedure for AST at 37°C from the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). Results: The certified catalytic activity concentration and certified uncertainty of AST in the reconstituted material are (1.74±0.05) μkat/L or (104.6±2.7) U/L (with a coverage factor k=2; 95% confidence interval). Conclusions: Both the certified value and uncertainty are traceable to the International System of Units (SI). The material is aiming to control the IFCC reference procedure for AST at 37°C, which will then be used to assign values to calibrants and control materials. The present paper highlights the scientific challenges and innovations which were encountered during the development of this new CRM. Clin Chem Lab Med 2010;48:795–803.
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- 2010
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3. The IFCC recommendations for determining reference intervals: strengths and limitations / Die IFCC-Empfehlungen für die Bestimmung von Referenzbereichen: Stärken und Schwächen
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Joseph Henny
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Gynecology ,Medical Laboratory Technology ,medicine.medical_specialty ,business.industry ,Reference values ,Biochemistry (medical) ,Clinical Biochemistry ,Medicine ,business ,Reference intervals - Abstract
Based on the original recommendation of the Expert Panel on the Theory of Reference Values of the International Federation of Clinical Chemistry (IFCC) dating back to the 1980s, updated guidelines were recently published under the auspices of the IFCC and the Clinical Laboratory Standard Institute (CLSI). Whereas the theory and the fundamentals of the reference value concept (definition, selection of reference individuals, preanalytical and analytical requirements, analysis of reference values) have not been modified, the updated guidelines add valuable improvements (transference, validation and verifying reference intervals). However, certain limitations remain which will be discussed in the present article.
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- 2009
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4. High Sensitivity C-Reactive Protein: Biological Variations and Reference Limits
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Olivier Chenillot, Gérard Siest, Bernard Herbeth, Josiane Steinmetz, Carola Wagner, and Joseph Henny
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Adult ,medicine.medical_specialty ,Adolescent ,Clinical Biochemistry ,Sensitivity and Specificity ,Cohort Studies ,Animal science ,Reference Values ,Humans ,Medicine ,Child ,Aged ,biology ,business.industry ,Biochemistry (medical) ,C-reactive protein ,General Medicine ,Middle Aged ,Coronary heart disease ,Surgery ,C-Reactive Protein ,Child, Preschool ,Reference values ,biology.protein ,Regression Analysis ,Hemoglobin ,Geometric mean ,business ,Body mass index ,Nephelometry ,Cohort study - Abstract
Serum C-reactive protein (CRP) concentration was determined for 3605 subjects using an immunonephelometric assay improved to provide greater sensitivity. Subjects were from 5 to 75 years old and belonging to 1003 nuclear families recruited from the Stanislas Coh o rt Study between January 1994 and August 1995. Sample values for CRP ranged from 0.17 mg/l to 100 mg/l. Geometric means (mean − SD; mean + SD) were in the 5–14 years old group 0.37 (0.17–1.07) mg/l, in the 15–28 years old group 0.47 (0.17–1.38) mg/l and in the 29–75 years old group 0.98 (0.34–2.85) mg/l. For women, the geometric means were 0.38 (0.17–1.10) mg/l, 0.62 (0.20–1.90) mg/l and 0.98 mg/l (0.31–3.13) mg/l respectively. The interindividual variability ranged from 138% to 759% among different age classes. Biological factors associated with CRP concentration variations were examined and accounted for 25% of the CRP variability in men and 40% in women. The main biological factors statistically associated with CRP concentration variations in men were: drugs, leukocyte count, body mass index, tobacco consumption, age, and in women: drugs, leukocyte count, age, body mass index and hemoglobin concentration. These factors were used to define the exclusion and partition criteria when obtaining the reference samples. Medians for reference values ranged from 0.20 to 0.68 mg/l in males and from 0.20 to 0.78 mg/l in women.
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- 2000
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5. Interpretation of laboratory results: the Reference Intervals, a necessary evil?
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Joseph Henny
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business.industry ,Research ,Biochemistry (medical) ,Clinical Biochemistry ,Guidelines as Topic ,General Medicine ,computer.software_genre ,Laboratory results ,Reference intervals ,Interpretation (model theory) ,Reference Values ,Data Interpretation, Statistical ,Artificial intelligence ,business ,computer ,Natural language processing ,Mathematics - Published
- 2007
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6. Stepwise strategies in analysing haematuria and leukocyturia in screening
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Josiane Steinmetz, René Gueguen, and Joseph Henny
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Adult ,Male ,medicine.medical_specialty ,Erythrocytes ,Urinalysis ,Clinical Biochemistry ,Urine ,Sensitivity and Specificity ,Leukocytes ,medicine ,False positive paradox ,Humans ,Mass Screening ,Diagnostic Errors ,Hematuria ,Urine cytology ,medicine.diagnostic_test ,business.industry ,Positive selection ,Medical screening ,Healthy population ,Biochemistry (medical) ,General Medicine ,Flow Cytometry ,Predictive value ,Surgery ,Costs and Cost Analysis ,Female ,Radiology ,False positive rate ,business ,Algorithms - Abstract
The aim of the present work was to compare in a supposed healthy population of 680 subjects several algorithms for positive selection of urine samples requiring microscopic examination for erythrocytes and leukocytes after screening by automated test-strip measurement and particle counting on a Sysmex UF-50™ flow cytometer. Four strategies have been formulated and the sensitivity, specificity, positive predictive value, negative predictive value, false positive rate, false negative rate, and microscopic review rate were measured. The strategy combining test strip analysis and automated counting on all samples, followed by microscopic examination of only discordant samples gave the best results. When the two methods of haematuria screening were in agreement (91% of samples), the false negative rate for microscopy was 1.1%, with a false positive rate of 0.8%, sensitivity of 66% and specificity of 99%, and the results are acceptable without any other examination. When the two methods of haematuria screening were discrepant, visual microscopic analysis was necessary to obtain definitive results. For leukocyturia screening, 80% of results were in agreement by test strip and automatic sediment urinalysis, with only ten results considered as false negatives (1.8%) and four as false positives (0.7%). Agreement was good and the other criteria were good (sensitivity 79%, specificity 99%). On conflicting samples, there was no agreement between methods and microscopic analysis was essential. The benefit of such an algorithm would be optimisation of the workflow without any loss of sensitivity and specificity at the expense of a two-fold increase in cost.
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- 2006
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7. Reference values: from philosophy to a tool for laboratory medicine
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Per Hyltoft Petersen and Joseph Henny
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medicine.medical_specialty ,Clinical Laboratory Techniques ,business.industry ,Biochemistry (medical) ,Clinical Biochemistry ,Medical laboratory ,Reproducibility of Results ,Clinical Chemistry Tests ,General Medicine ,Reference Values ,Reference values ,Humans ,Medicine ,Medical physics ,Philosophy, Medical ,business - Published
- 2004
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8. Soluble Transferrin Receptor (sTfR): Biological Variations and Reference Limits
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Gérard Siest, Josiane Steinmetz, Joseph Henny, Ghiath Raya, and Bernard Herbeth
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Adult ,Male ,Adolescent ,Clinical Biochemistry ,Population ,Physiology ,Orosomucoid ,Reference Values ,Receptors, Transferrin ,medicine ,Humans ,Child ,education ,Mean corpuscular volume ,Soluble transferrin receptor ,education.field_of_study ,biology ,medicine.diagnostic_test ,Biochemistry (medical) ,General Medicine ,Middle Aged ,Serum transferrin receptor ,Ferritin ,Child, Preschool ,Reference values ,Immunology ,biology.protein ,Female ,Hemoglobin - Abstract
The aim of this study was to establish soluble serum transferrin receptor (sTfR) reference limits. sTfR was measured in 885 healthy subjects from 3 to 91 years old (433 men, 409 women), without hematological abnormalities, using an immunonephelometric assay. The sTfR median concentrations in our population decreased gradually from the group aged 3-10 years to the group aged 21-40 years, then there were no changes in the older groups except for the females >60 years of age. The interindividual variability ranged from 12.6% to 30.3% among different age groups, and the analytical variability was 5%. Biological factors and other factors associated with sTfR concentration variation were examined and accounted for 35% of the sTfR variability in men aged 20 years or less, and 18% in those older than 20 years. Also, they accounted for 45% of the variability in women aged 20 years or less and 14% in those older than 20 years. The main factors statistically associated with sTfR concentration in males were ferritin, orosomucoid, hemoglobin, and tobacco in all age groups and only mean corpuscular volume (MCV) in males less than 20 years old. In the females the main factors were age, orosomucoid, and hemoglobin in all age groups, MCV and tobacco in females less than 20 years old, and ferritin and physical activity in females more than 20 years old. These factors were used to define the exclusion and partition criteria for obtaining the reference samples. Medians for reference values were: 1.60 mg/l in the 3-10-year old group (males and females); 1.42 mg/l in males between 11 and 20 years of age, and 1.33 mg/l in females of the same age. In the other age groups, the median of the reference values was 1.16 mg/l, except in females over 60 years old, for whom it was 1.26 mg/l.
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- 2001
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