36 results on '"Lennartz L"'
Search Results
2. M146 Architect/alinity tumormarker assays: Can results be used mutually interchangeably?
- Author
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Orth, M., primary, Lackner, K., additional, Hamwi, A., additional, Huf, W., additional, Kudla, J., additional, Sendel, W., additional, Hoffmann, M., additional, and Lennartz, L., additional
- Published
- 2022
- Full Text
- View/download PDF
3. TRACEABILITY OF THE NEW, OPTIMIZED ARCHITECT LDH ASSAY TO IFCC REFERENCE METHOD: E43
- Author
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Rosler, E., Klauke, R., Kasal, C., Yahalom, D. X., Lennartz, L., Orth, M., and Schumann, G.
- Published
- 2010
4. Extraktion von chromatingebundenen besetzten Steroidrezeptoren nach Östradiolgabe mit Hilfe des ER-EIA bei einem xenotransplantierten Endometriumkarzinom
- Author
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Vering, A., Schnürch, H. G., Lennartz, L., Bender, H. G., Hickl, E.-J., editor, and Berg, D., editor
- Published
- 1991
- Full Text
- View/download PDF
5. Serial Determination of Chromatin-Bound Hormone Receptors under Estradiol Therapy in a Xenotransplanted Endometrial Cancer
- Author
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Vering, A., primary, Lennartz, L., additional, Schnürch, H. G., additional, and Bender, H. G., additional
- Published
- 1992
- Full Text
- View/download PDF
6. C10/21 IMx® HCV version 3.0: AN AUTOMATED ANTI HCV ASSAY WITH IMPROVED PERFORMANCE VERSUS THE CURRENTLY AVAILABLE IMx HCV ASSAY
- Author
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Albrecht, M., Bauer, I., Bludau, H., Gabert, P., Lennartz, L., Pelzer, C., Tobiasch, R., and Witteler, H.
- Published
- 1997
7. C10/22 AxSYM® HCV version 3.0: AN AUTOMATED ANTI HCV ASSAY WITH IMPROVED PERFORMANCE VERSUS THE CURRENTLY AVAILABLE AXSYM HCV ASSAY
- Author
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Lennartz, L., Albrecht, M., Bauer, I., Bludau, H., Gabert, P., Pelzer, C., Tobiasch, R., and Witteler, H.
- Published
- 1997
8. C01/108 ANTI-HCV c200/NS3-NS4 QUANTITATION DURING IFN-THERAPY
- Author
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Kaucher, K., Braun, H.-B., Pelzer, C., Lennartz, L., Hatzakis, A., Tassopoulos, N., Zachoval, R., and Michel, G.
- Published
- 1997
9. Erratum to: Methods for evaluating medical tests and biomarkers.
- Author
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Gopalakrishna, G, Langendam, M, Scholten, R, Bossuyt, P, Leeflang, M, Noel-Storr, A, Thomas, J, Marshall, I, Wallace, B, Whiting, P, Davenport, C, GopalaKrishna, G, de Salis, I, Mallett, S, Wolff, R, Riley, R, Westwood, M, Kleinen, J, Collins, G, Reitsma, H, Moons, K, Zapf, A, Hoyer, A, Kramer, K, Kuss, O, Ensor, J, Deeks, JJ, Martin, EC, Riley, RD, Rücker, G, Steinhauser, S, Schumacher, M, Snell, K, Willis, B, Debray, T, Deeks, J, di Ruffano, LF, Taylor-Phillips, S, Hyde, C, Taylor, SA, Batnagar, G, STREAMLINE COLON Investigators, STREAMLINE LUNG Investigators, METRIC Investigators, Di Ruffano, LF, Seedat, F, Clarke, A, Byron, S, Nixon, F, Albrow, R, Walker, T, Deakin, C, Zhelev, Z, Hunt, H, Yang, Y, Abel, L, Buchanan, J, Fanshawe, T, Shinkins, B, Wynants, L, Verbakel, J, Van Huffel, S, Timmerman, D, Van Calster, B, Zwinderman, A, Oke, J, O'Sullivan, J, Perera, R, Nicholson, B, Bromley, HL, Roberts, TE, Francis, A, Petrie, D, Mann, GB, Malottki, K, Smith, H, Billingham, L, Sitch, A, Gerke, O, Holm-Vilstrup, M, Segtnan, EA, Halekoh, U, Høilund-Carlsen, PF, Francq, BG, Dinnes, J, Parkes, J, Gregory, W, Hewison, J, Altman, D, Rosenberg, W, Selby, P, Asselineau, J, Perez, P, Paye, A, Bessede, E, Proust-Lima, C, Naaktgeboren, C, de Groot, J, Rutjes, A, Reitsma, J, Ogundimu, E, Cook, J, Le Manach, Y, Vergouwe, Y, Pajouheshnia, R, Groenwold, R, Peelen, L, Nieboer, D, De Cock, B, Pencina, MJ, Steyerberg, EW, Cooper, J, Parsons, N, Stinton, C, Smith, S, Dickens, A, Jordan, R, Enocson, A, Fitzmaurice, D, Adab, P, Boachie, C, Vidmar, G, Freeman, K, Connock, M, Court, R, Moons, C, Harris, J, Mumford, A, Plummer, Z, Lee, K, Reeves, B, Rogers, C, Verheyden, V, Angelini, GD, Murphy, GJ, Huddy, J, Ni, M, Good, K, Cooke, G, Hanna, G, Ma, J, Moons, KGMC, de Groot, JAH, Altman, DG, Reitsma, JB, Collins, GS, Moons, KGM, Kamarudin, AN, Kolamunnage-Dona, R, Cox, T, Borsci, S, Pérez, T, Pardo, MC, Candela-Toha, A, Muriel, A, Zamora, J, Sanghera, S, Mohiuddin, S, Martin, R, Donovan, J, Coast, J, Seo, MK, Cairns, J, Mitchell, E, Smith, A, Wright, J, Hall, P, Messenger, M, Calder, N, Wickramasekera, N, Vinall-Collier, K, Lewington, A, Damen, J, Cairns, D, Hutchinson, M, Sturgeon, C, Mitchel, L, Kift, R, Christakoudi, S, Rungall, M, Mobillo, P, Montero, R, Tsui, T-L, Kon, SP, Tucker, B, Sacks, S, Farmer, C, Strom, T, Chowdhury, P, Rebollo-Mesa, I, Hernandez-Fuentes, M, Damen, JAAG, Debray, TPA, Heus, P, Hooft, L, Scholten, RJPM, Schuit, E, Tzoulaki, I, Lassale, CM, Siontis, GCM, Chiocchia, V, Roberts, C, Schlüssel, MM, Gerry, S, Black, JA, van der Schouw, YT, Peelen, LM, Spence, G, McCartney, D, van den Bruel, A, Lasserson, D, Hayward, G, Vach, W, de Jong, A, Burggraaff, C, Hoekstra, O, Zijlstra, J, de Vet, H, Graziadio, S, Allen, J, Johnston, L, O'Leary, R, Power, M, Johnson, L, Waters, R, Simpson, J, Fanshawe, TR, Phillips, P, Plumb, A, Helbren, E, Halligan, S, Gale, A, Sekula, P, Sauerbrei, W, Forman, JR, Dutton, SJ, Takwoingi, Y, Hensor, EM, Nichols, TE, Kempf, E, Porcher, R, de Beyer, J, Hopewell, S, Dennis, J, Shields, B, Jones, A, Henley, W, Pearson, E, Hattersley, A, MASTERMIND consortium, Scheibler, F, Rummer, A, Sturtz, S, Großelfinger, R, Banister, K, Ramsay, C, Azuara-Blanco, A, Burr, J, Kumarasamy, M, Bourne, R, Uchegbu, I, Murphy, J, Carter, A, Marti, J, Eatock, J, Robotham, J, Dudareva, M, Gilchrist, M, Holmes, A, Monaghan, P, Lord, S, StJohn, A, Sandberg, S, Cobbaert, C, Lennartz, L, Verhagen-Kamerbeek, W, Ebert, C, Horvath, A, Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine, Jenniskens, K, Peters, J, Grigore, B, Ukoumunne, O, Levis, B, Benedetti, A, Levis, AW, Ioannidis, JPA, Shrier, I, Cuijpers, P, Gilbody, S, Kloda, LA, McMillan, D, Patten, SB, Steele, RJ, Ziegelstein, RC, Bombardier, CH, Osório, FDL, Fann, JR, Gjerdingen, D, Lamers, F, Lotrakul, M, Loureiro, SR, Löwe, B, Shaaban, J, Stafford, L, van Weert, HCPM, Whooley, MA, Williams, LS, Wittkampf, KA, Yeung, AS, Thombs, BD, Cooper, C, Nieto, T, Smith, C, Tucker, O, Dretzke, J, Beggs, A, Rai, N, Bayliss, S, Stevens, S, Mallet, S, Sundar, S, Hall, E, Porta, N, Estelles, DL, de Bono, J, CTC-STOP protocol development group, Gopalakrishna, G, Langendam, M, Scholten, R, Bossuyt, P, Leeflang, M, Noel-Storr, A, Thomas, J, Marshall, I, Wallace, B, Whiting, P, Davenport, C, GopalaKrishna, G, de Salis, I, Mallett, S, Wolff, R, Riley, R, Westwood, M, Kleinen, J, Collins, G, Reitsma, H, Moons, K, Zapf, A, Hoyer, A, Kramer, K, Kuss, O, Ensor, J, Deeks, JJ, Martin, EC, Riley, RD, Rücker, G, Steinhauser, S, Schumacher, M, Snell, K, Willis, B, Debray, T, Deeks, J, di Ruffano, LF, Taylor-Phillips, S, Hyde, C, Taylor, SA, Batnagar, G, STREAMLINE COLON Investigators, STREAMLINE LUNG Investigators, METRIC Investigators, Di Ruffano, LF, Seedat, F, Clarke, A, Byron, S, Nixon, F, Albrow, R, Walker, T, Deakin, C, Zhelev, Z, Hunt, H, Yang, Y, Abel, L, Buchanan, J, Fanshawe, T, Shinkins, B, Wynants, L, Verbakel, J, Van Huffel, S, Timmerman, D, Van Calster, B, Zwinderman, A, Oke, J, O'Sullivan, J, Perera, R, Nicholson, B, Bromley, HL, Roberts, TE, Francis, A, Petrie, D, Mann, GB, Malottki, K, Smith, H, Billingham, L, Sitch, A, Gerke, O, Holm-Vilstrup, M, Segtnan, EA, Halekoh, U, Høilund-Carlsen, PF, Francq, BG, Dinnes, J, Parkes, J, Gregory, W, Hewison, J, Altman, D, Rosenberg, W, Selby, P, Asselineau, J, Perez, P, Paye, A, Bessede, E, Proust-Lima, C, Naaktgeboren, C, de Groot, J, Rutjes, A, Reitsma, J, Ogundimu, E, Cook, J, Le Manach, Y, Vergouwe, Y, Pajouheshnia, R, Groenwold, R, Peelen, L, Nieboer, D, De Cock, B, Pencina, MJ, Steyerberg, EW, Cooper, J, Parsons, N, Stinton, C, Smith, S, Dickens, A, Jordan, R, Enocson, A, Fitzmaurice, D, Adab, P, Boachie, C, Vidmar, G, Freeman, K, Connock, M, Court, R, Moons, C, Harris, J, Mumford, A, Plummer, Z, Lee, K, Reeves, B, Rogers, C, Verheyden, V, Angelini, GD, Murphy, GJ, Huddy, J, Ni, M, Good, K, Cooke, G, Hanna, G, Ma, J, Moons, KGMC, de Groot, JAH, Altman, DG, Reitsma, JB, Collins, GS, Moons, KGM, Kamarudin, AN, Kolamunnage-Dona, R, Cox, T, Borsci, S, Pérez, T, Pardo, MC, Candela-Toha, A, Muriel, A, Zamora, J, Sanghera, S, Mohiuddin, S, Martin, R, Donovan, J, Coast, J, Seo, MK, Cairns, J, Mitchell, E, Smith, A, Wright, J, Hall, P, Messenger, M, Calder, N, Wickramasekera, N, Vinall-Collier, K, Lewington, A, Damen, J, Cairns, D, Hutchinson, M, Sturgeon, C, Mitchel, L, Kift, R, Christakoudi, S, Rungall, M, Mobillo, P, Montero, R, Tsui, T-L, Kon, SP, Tucker, B, Sacks, S, Farmer, C, Strom, T, Chowdhury, P, Rebollo-Mesa, I, Hernandez-Fuentes, M, Damen, JAAG, Debray, TPA, Heus, P, Hooft, L, Scholten, RJPM, Schuit, E, Tzoulaki, I, Lassale, CM, Siontis, GCM, Chiocchia, V, Roberts, C, Schlüssel, MM, Gerry, S, Black, JA, van der Schouw, YT, Peelen, LM, Spence, G, McCartney, D, van den Bruel, A, Lasserson, D, Hayward, G, Vach, W, de Jong, A, Burggraaff, C, Hoekstra, O, Zijlstra, J, de Vet, H, Graziadio, S, Allen, J, Johnston, L, O'Leary, R, Power, M, Johnson, L, Waters, R, Simpson, J, Fanshawe, TR, Phillips, P, Plumb, A, Helbren, E, Halligan, S, Gale, A, Sekula, P, Sauerbrei, W, Forman, JR, Dutton, SJ, Takwoingi, Y, Hensor, EM, Nichols, TE, Kempf, E, Porcher, R, de Beyer, J, Hopewell, S, Dennis, J, Shields, B, Jones, A, Henley, W, Pearson, E, Hattersley, A, MASTERMIND consortium, Scheibler, F, Rummer, A, Sturtz, S, Großelfinger, R, Banister, K, Ramsay, C, Azuara-Blanco, A, Burr, J, Kumarasamy, M, Bourne, R, Uchegbu, I, Murphy, J, Carter, A, Marti, J, Eatock, J, Robotham, J, Dudareva, M, Gilchrist, M, Holmes, A, Monaghan, P, Lord, S, StJohn, A, Sandberg, S, Cobbaert, C, Lennartz, L, Verhagen-Kamerbeek, W, Ebert, C, Horvath, A, Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine, Jenniskens, K, Peters, J, Grigore, B, Ukoumunne, O, Levis, B, Benedetti, A, Levis, AW, Ioannidis, JPA, Shrier, I, Cuijpers, P, Gilbody, S, Kloda, LA, McMillan, D, Patten, SB, Steele, RJ, Ziegelstein, RC, Bombardier, CH, Osório, FDL, Fann, JR, Gjerdingen, D, Lamers, F, Lotrakul, M, Loureiro, SR, Löwe, B, Shaaban, J, Stafford, L, van Weert, HCPM, Whooley, MA, Williams, LS, Wittkampf, KA, Yeung, AS, Thombs, BD, Cooper, C, Nieto, T, Smith, C, Tucker, O, Dretzke, J, Beggs, A, Rai, N, Bayliss, S, Stevens, S, Mallet, S, Sundar, S, Hall, E, Porta, N, Estelles, DL, de Bono, J, and CTC-STOP protocol development group
- Abstract
[This corrects the article DOI: 10.1186/s41512-016-0001-y.].
- Published
- 2017
10. Die Kosteneffektivität von CystatinC versus Serum Kreatinin in der frühen Erkennung einer diabetischen Nephropathie in Deutschland
- Author
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Walter, E, primary, Lennartz, L, additional, Hofmann, W, additional, and Herget-Rosenthal, S, additional
- Published
- 2011
- Full Text
- View/download PDF
11. PUK22 HEALTH ECONOMIC ASPECTS OF USING SERUM CYSTATIN C FOR EARLY DETECTION OF CHRONIC KIDNEY DISEASE IN TYPE 2 DIABETICS IN GERMANY
- Author
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Walter, E, primary, Lennartz, L, additional, Hofmann, W, additional, and Herget-Rosenthal, S, additional
- Published
- 2010
- Full Text
- View/download PDF
12. Distribution pattern of polysaccharide chains and oligosaccharides in pig corneal keratan sulphate proteoglycans
- Author
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Lennartz, L., Kalthöfer, S., Stuhlsatz, H. W., and Greiling, H.
- Published
- 1988
- Full Text
- View/download PDF
13. Multi-center evaluation of the LCX HCV RNA quantitative assay
- Author
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Pawlotsky, J.-M., primary, Jilg, W., additional, Zanetti, A.R., additional, Bouvier-Alias, M., additional, Hottenträger, B., additional, Romanò, L., additional, Lennartz, L., additional, Ofsaiof, R., additional, Campbell, D., additional, and Leckie, G., additional
- Published
- 2001
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14. Evaluation of a new assay for the quantitative measurement of HCV RNA levels
- Author
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Hottenträger, B., primary, Lennartz, L., additional, Michel, G., additional, McKee, V., additional, Abravaya, K., additional, Qiu, C., additional, Leckie, G., additional, and Jilg, W., additional
- Published
- 2001
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15. Serum BCM Levels in Patients with Non-tumoral Pathologies: A Value of 25 U/ml can be Used as Threshold for Tumoral Activity
- Author
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Allende Mt, Ruibal A, Antonio Fueyo, Roiz Mc, Francisco J. Vizoso, and Lennartz L
- Subjects
Adult ,Liver Cirrhosis ,Lung Diseases ,Male ,Cancer Research ,medicine.medical_specialty ,Adolescent ,Biliary Tract Diseases ,Digestive System Diseases ,Clinical Biochemistry ,Gastroenterology ,Pathology and Forensic Medicine ,Immunoenzyme Techniques ,Breast Diseases ,Antigens, Neoplasm ,Predictive Value of Tests ,Antibodies monoclonal ,Internal medicine ,Humans ,Medicine ,Antigens, Tumor-Associated, Carbohydrate ,In patient ,business.industry ,Antibodies, Monoclonal ,Middle Aged ,Oncology ,Predictive value of tests ,Immunoenzyme techniques ,Immunology ,Female ,Antigens neoplasm ,business ,Value (mathematics) - Published
- 1990
- Full Text
- View/download PDF
16. Immunobiochemical assay for determination of nuclear steroid receptors
- Author
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Vering, A., primary, Schnürch, H.G., additional, Lennartz, L., additional, and Bender, H.G., additional
- Published
- 1992
- Full Text
- View/download PDF
17. Immunobiochemical assay for determination of nuclear steroid receptors
- Author
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Vering, A., primary, Schnürch, H.-G., additional, Lennartz, L., additional, and Bender, H.G., additional
- Published
- 1991
- Full Text
- View/download PDF
18. TgF344-AD Rat Model of Alzheimer's Disease: Spatial Disorientation and Asymmetry in Hemispheric Neurodegeneration.
- Author
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Sagalajev B, Lennartz L, Vieth L, Gunawan CT, Neumaier B, Drzezga A, Visser-Vandewalle V, Endepols H, and Sesia T
- Abstract
Background: The TgF344-AD ratline represents a transgenic animal model of Alzheimer's disease. We previously reported spatial memory impairment in TgF344-AD rats, yet the underlying mechanism remained unknown. We, therefore, set out to determine if spatial memory impairment in TgF344-AD rats is attributed to spatial disorientation. Also, we aimed to investigate whether TgF344-AD rats exhibit signs of asymmetry in hemispheric neurodegeneration, similar to what is reported in spatially disoriented AD patients. Finally, we sought to examine how spatial disorientation correlates with working memory performance., Methods: TgF344-AD rats were divided into two groups balanced by sex and genotype. The first group underwent the delayed match-to-sample (DMS) task for the assessment of spatial orientation and working memory, while the second group underwent positron emission tomography (PET) for the assessment of glucose metabolism and microglial activity as in-vivo markers of neurodegeneration. Rats were 13 months old during DMS training and 14-16 months old during DMS testing and PET., Results: In the DMS task, TgF344-AD rats were more likely than their wild-type littermates to display strong preference for one of the two levers, preventing working memory testing. Rats without lever-preference showed similar working memory, regardless of their genotype. PET revealed hemispherically asymmetric clusters of increased microglial activity and altered glucose metabolism in TgF344-AD rats., Conclusions: TgF344-AD rats display spatial disorientation and hemispherically asymmetrical neurodegeneration, suggesting a potential causal relationship consistent with past clinical research. In rats with preserved spatial orientation, working memory remains intact., Competing Interests: The authors have no conflict of interest to report., (© 2023 – The authors. Published by IOS Press.)
- Published
- 2023
- Full Text
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19. An Iodide-Mediated Anodic Amide Coupling.
- Author
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Großmann LM, Beier V, Duttenhofer L, Lennartz L, and Opatz T
- Abstract
Invited for the cover of this issue is the group of Till Opatz at the University of Mainz. The image depicts the electrochemical coupling of amines and carboxylic acids to form amides. Read the full text of the article at 10.1002/chem.202201768., (© 2022 Wiley-VCH GmbH.)
- Published
- 2022
- Full Text
- View/download PDF
20. [Successful rituximab treatment of recurrent glomerulonephritis associated with antibodies against the glomerular basement membrane].
- Author
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Chittka D, Lennartz L, Jung B, Banas B, and Bergler T
- Subjects
- Adolescent, Anti-Glomerular Basement Membrane Disease immunology, Anti-Glomerular Basement Membrane Disease pathology, Antibodies, Monoclonal, Autoantibodies, Biopsy, Glomerular Basement Membrane pathology, Glomerulonephritis diagnosis, Humans, Immunoglobulin G immunology, Kidney pathology, Plasma Exchange, Proteinuria, Recurrence, Treatment Outcome, Anti-Glomerular Basement Membrane Disease drug therapy, Glomerulonephritis drug therapy, Immunologic Factors therapeutic use, Rituximab therapeutic use
- Abstract
This article presents a case of recurrent anti-GBM disease (with antibodies against the glomerular basement membrane [GBM]) in a 17-year-old patient successfully treated with rituximab. Kidney biopsy with detection of linear deposition of immunoglobulin G (IgG) along the basement membrane is the diagnostic gold standard, which should be accompanied by serological testing. However, standard assays for the detection of anti-GBM antibodies have a high rate of false-negative results. In this particular case, an increase in proteinuria despite standard therapy (plasmapheresis, steroids, cyclophosphamide) was the clinical correlate of relapsing disease. The use of rituximab completely resolved the recurrent anti-GBM disease.
- Published
- 2020
- Full Text
- View/download PDF
21. Effects of different tube types on patient classification using current diabetes decision limits.
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Orth M, Hawran H, Ulloor J, Bachhawat K, and Lennartz L
- Abstract
Management of diabetes is a challenge starting in the pre-analytical phase with selecting the most appropriate glycolysis inhibitor. Study goal was to calculate the impact of tubes with different glycolysis inhibitors on the classification of the glycemic control of 157,415 consecutive hospital patients according to current WHO diabetes criteria., Methods: Glucose and lactate were measured in parallel in samples from 68 healthy subjects collected and stored in different sample tubes from Sarstedt and Greiner. Bias to baseline conditions (fluoride heparin (FH) tubes, centrifugation within 1 h) was determined., Results: In baseline samples, glucose concentration in fluoride/EDTA/citrate (FC) plasma was ~13% higher and lactate concentration ~20% lower compared to FH, fluoride oxalate, and fluoride EDTA plasma, and in serum. Glucose recovery after storage up to 48 h was 99-101% in the different tubes, but the effectiveness of glycolysis inhibition by FC was inconsistent. Based on the observed mean bias of 12% when FC tubes are used, we estimate an increase of 48.4-55.8% in the frequency of patients with impaired glucose levels using current WHO criteria., Conclusion: Using current established decision limits, the number of patients with impaired glucose levels in the hospital would increase substantially with a strong impact on patient treatment and consumption of resources. The unpredictable failure of glycolysis inhibition in FC tubes does not allow to adjust the decision limits by a fixed factor. In the absence of prospective outcome studies with FC tubes, we recommend to measure glucose in samples containing FH., (© 2019 The Authors.)
- Published
- 2019
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22. Setting clinical performance specifications to develop and evaluate biomarkers for clinical use.
- Author
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Lord SJ, St John A, Bossuyt PM, Sandberg S, Monaghan PJ, O'Kane M, Cobbaert CM, Röddiger R, Lennartz L, Gelfi C, and Horvath AR
- Subjects
- Data Accuracy, False Positive Reactions, Humans, Biomarkers analysis, Clinical Laboratory Techniques standards, Diagnostic Tests, Routine standards, Practice Guidelines as Topic
- Published
- 2019
- Full Text
- View/download PDF
23. Long-term expression of glomerular genes in diabetic nephropathy.
- Author
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Chittka D, Banas B, Lennartz L, Putz FJ, Eidenschink K, Beck S, Stempfl T, Moehle C, Reichelt-Wurm S, and Banas MC
- Subjects
- Animals, Diabetic Nephropathies metabolism, Disease Models, Animal, Kidney Glomerulus pathology, Mice, Mice, Inbred Strains, Mice, Obese, Podocytes metabolism, Polymerase Chain Reaction, Diabetes Mellitus, Experimental, Diabetic Nephropathies genetics, Gene Expression Regulation, Kidney Glomerulus metabolism, RNA genetics
- Abstract
Background: Although diabetic nephropathy (DN) is the most common cause for end-stage renal disease in western societies, its pathogenesis still remains largely unclear. A different gene pattern of diabetic and healthy kidney cells is one of the probable explanations. Numerous signalling pathways have emerged as important pathophysiological mechanisms for diabetes-induced renal injury., Methods: Glomerular cells, as podocytes or mesangial cells, are predominantly involved in the development of diabetic renal lesions. While many gene assays concerning DN are performed with whole kidney or renal cortex tissue, we isolated glomeruli from black and tan, brachyuric (BTBR) obese/obese (ob/ob) and wildtype mice at four different timepoints (4, 8, 16 and 24 weeks) and performed an mRNA microarray to identify differentially expressed genes (DEGs). In contrast to many other diabetic mouse models, these homozygous ob/ob leptin-deficient mice develop not only a severe type 2 diabetes, but also diabetic kidney injury with all the clinical and especially histologic features defining human DN. By functional enrichment analysis we were able to investigate biological processes and pathways enriched by the DEGs at different disease stages. Altered expression of nine randomly selected genes was confirmed by quantitative polymerase chain reaction from glomerular RNA., Results: Ob/ob type 2 diabetic mice showed up- and downregulation of genes primarily involved in metabolic processes and pathways, including glucose, lipid, fatty acid, retinol and amino acid metabolism. Members of the CYP4A and ApoB family were found among the top abundant genes. But more interestingly, altered gene loci showed enrichment for processes and pathways linked to angioneogenesis, complement cascades, semaphorin pathways, oxidation and reduction processes and renin secretion., Conclusion: The gene profile of BTBR ob/ob type 2 diabetic mice we conducted in this study can help to identify new key players in molecular pathogenesis of diabetic kidney injury.
- Published
- 2018
- Full Text
- View/download PDF
24. Practical guide for identifying unmet clinical needs for biomarkers.
- Author
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Monaghan PJ, Robinson S, Rajdl D, Bossuyt PMM, Sandberg S, St John A, O'Kane M, Lennartz L, Röddiger R, Lord SJ, Cobbaert CM, and Horvath AR
- Abstract
The development and evaluation of novel biomarkers and testing strategies requires a close examination of existing clinical pathways, including mapping of current pathways and identifying areas of unmet need. This approach enables early recognition of analytical and clinical performance criteria to guide evaluation studies, in a cyclical and iterative manner, all the time keeping the clinical pathway and patient health outcomes as the key drivers in the process. The Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM TE-WG) https://www.eflm.eu/site/page/a/1158 has published a conceptual framework of the test evaluation cycle which is driven by the clinical pathway, inherent to which is the test purpose and role within the pathway that are defined by clinical need. To supplement this framework, the EFLM TE-WG has also published an interactive checklist for identifying unmet clinical needs for new biomarkers; a practical tool that laboratories, clinicians, researchers and industry can equally use in a consistent manner when new tests are developed and before they are released to the market. It is hoped that these practical tools will provide consistent and appropriate terminology in this diverse field and offer a platform that facilitates greater consultation and collaboration between all stakeholders. The checklist should assist the work of all colleagues involved in the discovery of novel biomarkers and implementation of new medical tests. The tool is aligned with the IOM recommendations and the FDA and CE regulating body's requirements.
- Published
- 2018
25. Erratum to: Methods for evaluating medical tests and biomarkers.
- Author
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Gopalakrishna G, Langendam M, Scholten R, Bossuyt P, Leeflang M, Noel-Storr A, Thomas J, Marshall I, Wallace B, Whiting P, Davenport C, Leeflang M, GopalaKrishna G, de Salis I, Mallett S, Wolff R, Whiting P, Riley R, Westwood M, Kleinen J, Collins G, Reitsma H, Moons K, Zapf A, Hoyer A, Kramer K, Kuss O, Ensor J, Deeks JJ, Martin EC, Riley RD, Rücker G, Steinhauser S, Schumacher M, Riley R, Ensor J, Snell K, Willis B, Debray T, Moons K, Deeks J, Collins G, di Ruffano LF, Willis B, Davenport C, Mallett S, Taylor-Phillips S, Hyde C, Deeks J, Mallett S, Taylor SA, Batnagar G, Taylor-Phillips S, Di Ruffano LF, Seedat F, Clarke A, Deeks J, Byron S, Nixon F, Albrow R, Walker T, Deakin C, Hyde C, Zhelev Z, Hunt H, di Ruffano LF, Yang Y, Abel L, Buchanan J, Fanshawe T, Shinkins B, Wynants L, Verbakel J, Van Huffel S, Timmerman D, Van Calster B, Leeflang M, Zwinderman A, Bossuyt P, Oke J, O'Sullivan J, Perera R, Nicholson B, Bromley HL, Roberts TE, Francis A, Petrie D, Mann GB, Malottki K, Smith H, Deeks J, Billingham L, Sitch A, Mallett S, Deeks J, Gerke O, Holm-Vilstrup M, Segtnan EA, Halekoh U, Høilund-Carlsen PF, Francq BG, Deeks J, Sitch A, Dinnes J, Parkes J, Gregory W, Hewison J, Altman D, Rosenberg W, Selby P, Asselineau J, Perez P, Paye A, Bessede E, Proust-Lima C, Naaktgeboren C, de Groot J, Rutjes A, Bossuyt P, Reitsma J, Moons K, Collins G, Ogundimu E, Cook J, Le Manach Y, Altman D, Wynants L, Vergouwe Y, Van Huffel S, Timmerman D, Van Calster B, Pajouheshnia R, Groenwold R, Moons K, Reitsma J, Peelen L, Van Calster B, Nieboer D, Vergouwe Y, De Cock B, Pencina MJ, Steyerberg EW, Cooper J, Taylor-Phillips S, Parsons N, Stinton C, Smith S, Dickens A, Jordan R, Enocson A, Fitzmaurice D, Sitch A, Adab P, Francq BG, Boachie C, Vidmar G, Freeman K, Connock M, Taylor-Phillips S, Court R, Clarke A, de Groot J, Naaktgeboren C, Reitsma H, Moons C, Harris J, Mumford A, Plummer Z, Lee K, Reeves B, Rogers C, Verheyden V, Angelini GD, Murphy GJ, Huddy J, Ni M, Good K, Cooke G, Bossuyt P, Hanna G, Ma J, Altman D, Collins G, Moons KGMC, de Groot JAH, Mallett S, Altman DG, Reitsma JB, Collins GS, Moons KGM, Altman DG, Reitsma JB, Collins GS, Kamarudin AN, Kolamunnage-Dona R, Cox T, Ni M, Huddy J, Borsci S, Hanna G, Pérez T, Pardo MC, Candela-Toha A, Muriel A, Zamora J, Sanghera S, Mohiuddin S, Martin R, Donovan J, Coast J, Seo MK, Cairns J, Mitchell E, Smith A, Wright J, Hall P, Messenger M, Calder N, Wickramasekera N, Vinall-Collier K, Lewington A, Pajouheshnia R, Damen J, Groenwold R, Moons K, Peelen L, Messenger M, Cairns D, Smith A, Hutchinson M, Wright J, Hall P, Calder N, Sturgeon C, Mitchel L, Kift R, Christakoudi S, Rungall M, Mobillo P, Montero R, Tsui TL, Kon SP, Tucker B, Sacks S, Farmer C, Strom T, Chowdhury P, Rebollo-Mesa I, Hernandez-Fuentes M, Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM, Damen JAAG, Hooft L, Schuit E, Debray TPA, Collins GS, Tzoulaki I, Lassale CM, Siontis GCM, Chiocchia V, Roberts C, Schlüssel MM, Gerry S, Black JA, Heus P, van der Schouw YT, Peelen LM, Moons KGM, Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM, Ma J, Altman D, Collins G, Spence G, McCartney D, van den Bruel A, Lasserson D, Hayward G, Vach W, de Jong A, Burggraaff C, Hoekstra O, Zijlstra J, de Vet H, Hunt H, Hyde C, Graziadio S, Allen J, Johnston L, O'Leary R, Power M, Allen J, Graziadio S, Johnson L, O'Leary R, Power M, Waters R, Simpson J, Johnston L, Allen J, Graziadio S, O'Leary R, Waters R, Power M, Mallett S, Fanshawe TR, Phillips P, Plumb A, Helbren E, Halligan S, Taylor SA, Gale A, Mallett S, Sekula P, Altman DG, Sauerbrei W, Mallett S, Fanshawe TR, Forman JR, Dutton SJ, Takwoingi Y, Hensor EM, Nichols TE, Shinkins B, Yang Y, Abel L, Di Ruffano LF, Fanshawe T, Kempf E, Porcher R, de Beyer J, Moons K, Altman D, Reitsma H, Hopewell S, Sauerbrei W, Collins G, Dennis J, Shields B, Jones A, Henley W, Pearson E, Hattersley A, Heus P, Damen JAAG, Pajouheshnia R, Scholten RJPM, Reitsma JB, Collins GS, Altman DG, Moons KGM, Hooft L, Shields B, Dennis J, Jones A, Henley W, Pearson E, Hattersley A, Scheibler F, Rummer A, Sturtz S, Großelfinger R, Banister K, Ramsay C, Azuara-Blanco A, Cook J, Boachie C, Burr J, Kumarasamy M, Bourne R, Uchegbu I, Borsci S, Murphy J, Hanna G, Uchegbu I, Carter A, Murphy J, Ni M, Marti J, Eatock J, Uchegbu I, Robotham J, Dudareva M, Gilchrist M, Holmes A, Uchegbu I, Borsci S, Monaghan P, Lord S, StJohn A, Sandberg S, Cobbaert C, Lennartz L, Verhagen-Kamerbeek W, Ebert C, Bossuyt P, Horvath A, Jenniskens K, Naaktgeboren C, Reitsma J, Moons K, de Groot J, Hyde C, Peters J, Grigore B, Peters J, Hyde C, Hyde C, Ukoumunne O, Peters J, Zhelev Z, Levis B, Benedetti A, Levis AW, Ioannidis JPA, Shrier I, Cuijpers P, Gilbody S, Kloda LA, McMillan D, Patten SB, Steele RJ, Ziegelstein RC, Bombardier CH, Osório FL, Fann JR, Gjerdingen D, Lamers F, Lotrakul M, Loureiro SR, Löwe B, Shaaban J, Stafford L, van Weert HCPM, Whooley MA, Williams LS, Wittkampf KA, Yeung AS, Thombs BD, Peters J, Cooper C, Buchanan J, Nieto T, Smith C, Tucker O, Dretzke J, Beggs A, Rai N, Davenport C, Bayliss S, Stevens S, Snell K, Mallet S, Deeks J, Sundar S, Hall E, Porta N, Estelles DL, and de Bono J
- Abstract
[This corrects the article DOI: 10.1186/s41512-016-0001-y.].
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- 2017
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26. Impact of lipid markers and high-sensitivity C-reactive protein on the value of the 99th percentile upper reference limit for high-sensitivity cardiac troponin I.
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Krintus M, Kozinski M, Fabiszak T, Kuligowska-Prusinska M, Laskowska E, Lennartz L, Nowak-Los L, Kubica J, and Sypniewska G
- Subjects
- Adolescent, Adult, Aged, Biomarkers analysis, Biomarkers blood, C-Reactive Protein standards, Cross-Sectional Studies, Female, Humans, Lipids standards, Male, Middle Aged, Multivariate Analysis, Reference Values, Sex Characteristics, Young Adult, C-Reactive Protein analysis, Lipids blood, Myocardium chemistry, Troponin I analysis, Troponin I blood
- Abstract
Objectives: i) To assess the relationship between lipid markers and high-sensitivity C-reactive protein (hs-CRP), and high-sensitivity cardiac troponin I (hs-cTnI) in the reference population, and ii) to evaluate the impact of lipid markers and hs-CRP on the 99th percentile upper reference limit (URL) for hs-cTnI., Methods: 531 questionnaire-identified presumably healthy individuals were enrolled in a single-center, cross-sectional study. Surrogate biomarkers for diabetes, myocardial and renal dysfunction were used to refine the healthy cohort (n=408). Lipid profile, total cholesterol:high-density lipoprotein cholesterol (HDL-C) ratio, non-HDL-C, apolipoprotein AI (apoAI), apolipoprotein B (apoB), apoB:apoAI ratio, lipoprotein(a), small dense low-density lipoprotein cholesterol (LDL-C) and hs-CRP were determined., Results: Individuals with detectable vs. non-detectable hs-cTnI concentrations more often showed elevated LDL-C (60% vs. 46%; p=0.002), apoB (73% vs. 61%; p=0.008), apoB:apoAI ratio (53% vs. 40%; p=0.005) and lipoprotein(a) (15% vs. 7%; p=0.015). The apoB:apoAI ratio and to a lesser extent other lipid markers, but not hs-CRP, were positively associated with hs-cTnI concentration in univariate and multivariate analyses. Exclusion of individuals with elevated apoB:apoAI ratio or apoB, but not hs-CRP, lowered the 99th percentile URL in the healthy cohort respectively by 12.9% (6.2 vs. 5.4ng/L) and 14.5% (6.2 vs. 5.3ng/L). The corresponding reduction for both lipid biomarkers in the presumably healthy population was 24.0% (7.5 vs. 5.7ng/L)., Conclusion: Our study demonstrates that atherogenic lipid markers, particularly apoB:apoAI ratio or apoB, influence the 99th percentile URL for hs-cTnI., (Copyright © 2016 Elsevier B.V. All rights reserved.)
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- 2016
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27. Biomarker development targeting unmet clinical needs.
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Monaghan PJ, Lord SJ, St John A, Sandberg S, Cobbaert CM, Lennartz L, Verhagen-Kamerbeek WD, Ebert C, Bossuyt PM, and Horvath AR
- Subjects
- Checklist, Clinical Decision-Making, Consensus, Humans, Biomarkers, Practice Guidelines as Topic standards
- Abstract
Background: The introduction of new biomarkers can lead to inappropriate utilization of tests if they do not fill in existing gaps in clinical care. We aimed to define a strategy and checklist for identifying unmet needs for biomarkers., Methods: A multidisciplinary working group used a 4-step process: 1/ scoping literature review; 2/ face-to-face meetings to discuss scope, strategy and checklist items; 3/ iterative process of feedback and consensus to develop the checklist; 4/ testing and refinement of checklist items using case scenarios., Results: We used clinical pathway mapping to identify clinical management decisions linking biomarker testing to health outcomes and developed a 14-item checklist organized into 4 domains: 1/ identifying and 2/ verifying the unmet need; 3/ validating the intended use; and 4/ assessing the feasibility of the new biomarker to influence clinical practice and health outcome. We present an outcome-focused approach that can be used by multiple stakeholders for any medical test, irrespective of the purpose and role of testing., Conclusions: The checklist intends to achieve more efficient biomarker development and translation into practice. We propose the checklist is field tested by stakeholders, and advocate the role of the clinical laboratory professional to foster trans-sector collaboration in this regard., (Copyright © 2016 Elsevier B.V. All rights reserved.)
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- 2016
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28. Setting analytical performance specifications based on outcome studies - is it possible?
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Horvath AR, Bossuyt PM, Sandberg S, John AS, Monaghan PJ, Verhagen-Kamerbeek WD, Lennartz L, Cobbaert CM, Ebert C, and Lord SJ
- Subjects
- Consensus, Evidence-Based Medicine, Quality Assurance, Health Care, Clinical Laboratory Techniques classification
- Abstract
The 1st Strategic Conference of the European Federation of Clinical Chemistry and Laboratory Medicine proposed a simplified hierarchy for setting analytical performance specifications (APS). The top two levels of the 1999 Stockholm hierarchy, i.e., evaluation of the effect of analytical performance on clinical outcomes and clinical decisions have been proposed to be replaced by one outcome-based model. This model can be supported by: (1a) direct outcome studies; and (1b) indirect outcome studies investigating the impact of analytical performance of the test on clinical classifications or decisions and thereby on the probability of patient relevant clinical outcomes. This paper reviews the need for outcome-based specifications, the most relevant types of outcomes to be considered, and the challenges and limitations faced when setting outcome-based APS. The methods of Model 1a and b are discussed and examples are provided for how outcome data can be translated to APS using the linked evidence and simulation or decision analytic techniques. Outcome-based APS should primarily reflect the clinical needs of patients; should be tailored to the purpose, role and significance of the test in a well defined clinical pathway; and should be defined at a level that achieves net health benefit for patients at reasonable costs. Whilst it is acknowledged that direct evaluations are difficult and may not be possible for all measurands, all other forms of setting APS should be weighed against that standard, and regarded as approximations. Better definition of the relationship between the analytical performance of tests and health outcomes can be used to set analytical performance criteria that aim to improve the clinical and cost-effectiveness of laboratory tests.
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- 2015
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29. Evaluation of a next generation direct whole blood enzymatic assay for hemoglobin A1c on the ARCHITECT c8000 chemistry system.
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Teodoro-Morrison T, Janssen MJ, Mols J, Hendrickx BH, Velmans MH, Lotz J, Lackner K, Lennartz L, Armbruster D, Maine G, and Yip PM
- Subjects
- Cryopreservation, Diabetes Mellitus, Type 2 blood, Erythrocytes cytology, Glycated Hemoglobin metabolism, Humans, Linear Models, Amino Acid Oxidoreductases metabolism, Blood Chemical Analysis methods, Glycated Hemoglobin analysis
- Abstract
Background: The utility of HbA1c for the diagnosis of type 2 diabetes requires an accurate, precise and robust test measurement system. Currently, immunoassay and HPLC are the most popular methods for HbA1c quantification, noting however the limitations associated with some platforms, such as imprecision or interference from common hemoglobin variants. Abbott Diagnostics has introduced a fully automated direct enzymatic method for the quantification of HbA1c from whole blood on the ARCHITECT chemistry system., Methods: Here we completed a method evaluation of the ARCHITECT HbA1c enzymatic assay for imprecision, accuracy, method comparison, interference from hemoglobin variants and specimen stability. This was completed at three independent clinical laboratories in North America and Europe., Results: The total imprecision ranged from 0.5% to 2.2% CV with low and high level control materials. Around the diagnostic cut-off of 48 mmol/mol, the total imprecision was 0.6% CV. Mean bias using reference samples from IFCC and CAP ranged from -1.1 to 1.0 mmol/mol. The enzymatic assay also showed excellent agreement with HPLC methods, with slopes of 1.01 and correlation coefficients ranging from 0.984 to 0.996 compared to Menarini Adams HA-8160, Bio-Rad Variant II and Variant II Turbo instruments. Finally, no significant effect was observed for erythrocyte sedimentation or interference from common hemoglobin variants in patient samples containing heterozygous HbS, HbC, HbD, HbE, and up to 10% HbF., Conclusions: The ARCHITECT enzymatic assay for HbA1c is a robust and fully automated method that meets the performance requirements to support the diagnosis of type 2 diabetes.
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- 2015
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30. Defining normality in a European multinational cohort: Critical factors influencing the 99th percentile upper reference limit for high sensitivity cardiac troponin I.
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Krintus M, Kozinski M, Boudry P, Lackner K, Lefèvre G, Lennartz L, Lotz J, Manysiak S, Shih J, Skadberg Ø, Chargui AT, and Sypniewska G
- Subjects
- Adult, Biomarkers blood, Cohort Studies, Europe, Female, Humans, Male, Middle Aged, Patient Selection, Reference Values, Sensitivity and Specificity, Troponin I blood
- Abstract
Objective: To establish and critically evaluate the 99th percentile upper reference limit (URL) for high-sensitivity cardiac troponin I (hs-cTnI) in a large healthy European cohort using different selection criteria., Methods: 1368 presumably healthy individuals from 9 countries were evaluated with surrogate biomarkers for diabetes (glycated hemoglobin [HbA1c] < 48 mmol/mol), myocardial (B-type natriuretic peptide [BNP] < 35 pg/mL) and renal dysfunction (estimated glomerular filtration rate [eGFR] >60 mL/min/1.73 m(2)), and dyslipidemia to refine the healthy cohort. The 99th percentile URLs were independently determined by the non-parametric and robust methods., Results: The use of biomarker selection criteria resulted in a decrease of the 99th percentile URL for hs-cTnI from 23.7 to 14.1 ng/L and from 11.2 to 7.1 ng/L, when using the non-parametric percentile and robust methods, respectively; a further reduction after exclusion of individuals with dyslipidemia was noted. Male gender, BNP, HbA1c and smoking status were independently associated with hs-cTnI concentration in the presumably healthy population, while the impact of age, present in the univariate analysis, decreased after adjustments for gender and surrogate biomarkers. The BNP-based inclusion criterion had the most pronounced effect on the 99th percentile URL, excluding 21% of the study participants and decreasing its value to 11.0 (7.1) ng/L according to the non-parametric (robust) method. Gender, but not age-specific, differences at 99th percentile URL have been identified., Conclusion: The selection of a reference population has a critical impact on the 99th percentile value for hs-cTnI. A uniform protocol for the selection of the healthy reference population is needed., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)
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- 2015
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31. European multicenter analytical evaluation of the Abbott ARCHITECT STAT high sensitive troponin I immunoassay.
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Krintus M, Kozinski M, Boudry P, Capell NE, Köller U, Lackner K, Lefèvre G, Lennartz L, Lotz J, Herranz AM, Nybo M, Plebani M, Sandberg MB, Schratzberger W, Shih J, Skadberg Ø, Chargui AT, Zaninotto M, and Sypniewska G
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Blood Coagulation Tests instrumentation, Europe, Female, Humans, Laboratories, Male, Middle Aged, Reagent Kits, Diagnostic, Sensitivity and Specificity, Young Adult, Immunoassay, Troponin I blood
- Abstract
Background: International recommendations highlight the superior value of cardiac troponins (cTns) for early diagnosis of myocardial infarction along with analytical requirements of improved precision and detectability. In this multicenter study, we investigated the analytical performance of a new high sensitive cardiac troponin I (hs-cTnI) assay and its 99th percentile upper reference limit (URL)., Methods: Laboratories from nine European countries evaluated the ARCHITECT STAT high sensitive troponin I (hs-TnI) immunoassay on the ARCHITECT i2000SR/i1000SR immunoanalyzers. Imprecision, limit of blank (LoB), limit of detection (LoD), limit of quantitation (LoQ) linearity of dilution, interferences, sample type, method comparisons, and 99th percentile URLs were evaluated in this study., Results: Total imprecision of 3.3%-8.9%, 2.0%-3.5% and 1.5%-5.2% was determined for the low, medium and high controls, respectively. The lowest cTnI concentration corresponding to a total CV of 10% was 5.6 ng/L. Common interferences, sample dilution and carryover did not affect the hs-cTnI results. Slight, but statistically significant, differences with sample type were found. Concordance between the investigated hs-cTnI assay and contemporary cTnI assay at 99th percentile cut-off was found to be 95%. TnI was detectable in 75% and 57% of the apparently healthy population using the lower (1.1 ng/L) and upper (1.9 ng/L) limit of the LoD range provided by the ARCHITECT STAT hs-TnI package insert, respectively. The 99th percentile values were gender dependent., Conclusions: The new ARCHITECT STAT hs-TnI assay with improved analytical features meets the criteria of high sensitive Tn test and will be a valuable diagnostic tool.
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- 2014
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32. Analytical evaluation of the automated galectin-3 assay on the Abbott ARCHITECT immunoassay instruments.
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Gaze DC, Prante C, Dreier J, Knabbe C, Collet C, Launay JM, Franekova J, Jabor A, Lennartz L, Shih J, del Rey JM, Zaninotto M, Plebani M, and Collinson PO
- Subjects
- Automation, Blood Chemical Analysis standards, Enzyme-Linked Immunosorbent Assay standards, Humans, Limit of Detection, Male, Middle Aged, Reference Values, Time Factors, Blood Chemical Analysis instrumentation, Enzyme-Linked Immunosorbent Assay instrumentation, Galectin 3 blood
- Abstract
Background: Galectin-3 is secreted from macrophages and binds and activates fibroblasts forming collagen. Tissue fibrosis is central to the progression of chronic heart failure (CHF). We performed a European multicentered evaluation of the analytical performance of the two-step routine and Short Turn-Around-Time (STAT) galectin-3 immunoassay on the ARCHITECT i1000SR, i2000SR, and i4000SR (Abbott Laboratories)., Methods: We evaluated the assay precision and dilution linearity for both routine and STAT assays and compared serum and plasma, and fresh vs. frozen samples. The reference interval and biological variability were also assessed. Measurable samples were compared between ARCHITECT instruments and between the routine and STAT assays and also to a galectin-3 ELISA (BG Medicine)., Results: The total assay coefficient of variation (CV%) was 2.3%-6.2% and 1.7%-7.4% for the routine and STAT assays, respectively. Both assays demonstrated linearity up to 120 ng/mL. Galectin-3 concentrations were higher in plasma samples than in serum samples and correlated well between fresh and frozen samples (R=0.997), between the routine and STAT assays, between the ARCHITECT i1000 and i2000 instruments and with the galectin-3 ELISA. The reference interval on 627 apparently healthy individuals (53% male) yielded upper 95th and 97.5th percentiles of 25.2 and 28.4 ng/mL, respectively. Values were significantly lower in subjects younger than 50 years., Conclusions: The galectin-3 routine and STAT assays on the Abbott ARCHITECT instruments demonstrated good analytical performance. Further clinical studies are required to demonstrate the diagnostic and prognostic potential of this novel marker in patients with CHF.
- Published
- 2014
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33. Congenital bullous poikiloderma (Kindler syndrome) - new mutation.
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Lennartz L, Has C, and Lehmann P
- Subjects
- Adolescent, Diagnosis, Differential, Female, Humans, Blister diagnosis, Blister genetics, Epidermolysis Bullosa diagnosis, Epidermolysis Bullosa genetics, Genetic Predisposition to Disease genetics, Membrane Proteins genetics, Neoplasm Proteins genetics, Periodontal Diseases diagnosis, Periodontal Diseases genetics, Photosensitivity Disorders diagnosis, Photosensitivity Disorders genetics
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- 2012
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34. Early prediction of successful alpha-interferon therapy of chronic hepatitis C by core-IgM antibodies to hepatitis C virus.
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Tassopoulos NC, Hatzakis AE, Papatheodoridis GV, Karvountzis G, Troonen H, and Lennartz L
- Subjects
- Adult, Chronic Disease, Hepatitis C Antibodies, Humans, Hepacivirus immunology, Hepatitis Antibodies blood, Hepatitis C therapy, Immunoglobulin M blood, Interferon-alpha therapeutic use
- Published
- 1994
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35. Evaluation of the new IMx SCC test.
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Leichtweis B, Lennartz L, and Ebert W
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- Electronic Data Processing, Evaluation Studies as Topic, Humans, Reproducibility of Results, Antigens, Neoplasm analysis, Immunoenzyme Techniques, Lung Diseases blood, Lung Neoplasms blood, Serpins
- Published
- 1990
36. High BCM serum levels in patients with non breast tumors: first results.
- Author
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Allende T, Vizoso F, Roiz C, Fueyo A, Lennartz L, and Ruibal A
- Subjects
- Adolescent, Adult, Breast Neoplasms blood, Female, Humans, Male, Middle Aged, Radioimmunoassay, Antigens, Neoplasm analysis, Biomarkers, Tumor blood, Mucins blood, Neoplasms blood
- Published
- 1990
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