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Analytical Technologies and Applications Clinica Chimica Acta Clinica Chimica Acta 493 (2019) S13–S75 Contents lists available at SciVerse ScienceDirect Clinica Chimica Acta journal homepage: www.elsevier.com/locate/clinchim Analytical technologies and applications M001 Indeed, 30% of healthy men were outside the range. Establishment on reference range on 120 healthy subjects will thus be mandatory Verification of the reference intervals proposed by Abbott on for this parameter. Alinity CI in a population of healthy subjects from Liege, Belgium doi:10.1016/j.cca.2019.03.036 C. Bertholet, M. Lamtiri Laarif, L. Vranken, R. Gadisseur, S. Delcour, E. Cavalier Department of Clinical Chemistry, University Hospital of Liège, Belgium M002 Background-aim Evaluation and clinical implication of lactate measurement by amperometry and spectrophotometry Verification of Manufacturers'proposed reference intervals is an important step of a method validation. This can be done according to CLSI O.M. Diz Mellado, E. Melguizo Madrid, A. Sáez-Benito Godino EP28-A3 guidelines by running tests on a selected population of 20 healthy UGC Laboratorios, Hospital Universitario Puerta del Mar, Cádiz, Spain individuals. However, this process can be cumbersome or complicated for many laboratories. Depending on the analyte, the established reference Background-aim interval may be unique or vary according to age, sex, hormonal cycle or nychtemeral cycle. In this study, we aimed at verifying the reference Lactic acid is mainly a clinical sepsis marker, although it is also ranges proposed by Abbott on the new Alinity chemistry and immuno- associated with other pathologies (cardiovascular or shock). It is assays analyzer in a population of healthy Belgian subjects. produced in anaerobic glycolysis. High tissular levels leads to increased plasma concentration. Methods The different measurement techniques require specific samples. In order to avoid extra tubes we aim to measure lactate in total blood 80 healthy volunteers (20 women and 20 men N50 yo and b 50 yo) drained for blood gases. agreed to participate and gave blood after overnight fasting. Age of the Aim: Evaluate the concordance between lactate results in plasma population ranged between 24 and 70 years. We verified the reference and total blood samples. The patient's diagnostic classification will be intervals for basic chemistry (ions, liver enzymes, metabolites, proteins studied to check the diagnostic validity in order to use total blood and lipids) and a wide panel of immunoassays (cardiac markers, tumor sample instead of plasma. markers, fertility hormones, thyroid hormones and anemia panel). For fertility hormones, we checked references values for three groups: men, Methods postmenopausal and premenopausal women. We used EP-Evaluator software following the CLSI EP28-A3 guidelines. The reference values All samples analyzed in four months (648) were processed in announced by the manufacturer were accepted if a maximum of 10% of both analytical systems. Plasma was analyzed by spectrophotometry healthy patients were outside the range with 95% IC. (c501Roche Diagnostics®; reference values (RV):4.5–19.8 mg/dL) and total blood by amperometry (GEM 4000 Werfen®; RV:0,5–2 Results mM). The statistical analysis was done with SPSS 20.0. Kolmo- For basic chemistry, our results were in accordance with the gorovSmirnov, Spearman coefficient, Passing-Bablok, Bland-Altman reference values described by Abbott, with a maximum of 10% graphics, Lin Coefficient and Contingency tables (classifying the patients outside the interval, except for Cholinesterase. Only 5% of patients as positive or negative according to the RV, studying the healthy women were outside the range (2,88–12,67 kU/l) but 30% of Kappa index of concordance between techniques) were analyzed. healthy men were outside the range (4,93–10,93 kU/l). For the panels tested with immunoassays, all reference values were in Results agreement with Abbott's proposed values. The correlation coefficient of 0.99 indicates a strong positive Conclusions correlation. Passing-Bablok regression method: intercept 2,42; slope 0,97. Cusum test: significant deviation from linearity. Our results showed that we can use the reference values The differences analysis was done using Bland-Altman graph: described by Abbott for all parameters, except Cholinesterase. average difference: 2.4 mg/dL (4.2 to 9.1), presenting a continuous 0009-8981/$ – see front matter Abstracts / Clinica Chimica Acta 493 (2019) S13–S75 bias throughout the gap. Lin coefficient was 0.9733, being substantial we calculated the ratio we didn't found changes in the clinic decision according to the McBride scale. limit, nevertheless it should be more carefully studied in the Contingency table shows 80% of concordant results. The remain- borderline ratio values of 20%. ing 20% indicates higher levels for amperometric technique in grey zone. The Kappa index (0.79) shows a good concordance. doi:10.1016/j.cca.2019.03.038 Conclusions M004 A strong correlation and a global concordance are observed between methods. Total blood samples tend to a greater degree of Comparison study of basic hemostasis by two coagulometers pathological classification. Concordance in grey zone is not perfectly. The lack of linearity makes impossible the use of regression line. A. Espuch-Oliverb, G.A. De Vicente Lópezb, M.d.M. Maldonado The addition of fluoride to plasma slows down the production of Montoroa, C. Miralles Adella, J.M. Villa Suáreza, T. De Haro Muñoza lactate. It is recommended to analyse plasma lactate, restricting the aHospital Universitario San Cecilio de Granada, Spain total blood analysis to critical or paediatric patients. bHospital Universitario Virgen de las Nieves de Granada, Spain doi:10.1016/j.cca.2019.03.037 Background-aim The Atellica® COAG 360 System is a new automated high volume M003 coagulation analyzer that employ five different methodologies on one platform to study the basic and special hemostasis. A method Limit of in vitro stability of PSA and free PSA in our current comparison study was carried-out between two coagulometers, workflow Atellica® COAG 360 System and Sysmex® CS-5100 System from Siemen Healthineers®. The aim is to evaluate the clinical concor- N. FaÑanas Rodriguez, S. Diez Espiga, A. Moyano Martinez, A. dance between both analyzers for basic hemostasis: Prothrombin Maiztegi Azpitarte, M. Iturralde Ros, R.A. Arrieta, L. MuÑoz Arduengo, Time (PT), activated Partial Thromboplastin Time (aPTT), D-DIMER M. Ortiz Espejo, C. Esparza Del Valle, R. Garcia Sardina (DD) and Fibrinogen according to the Clauss method (Fib). Hospital Universitario Marques de Valdecilla, Spain Methods Background-aim More than a thousand samples of blood plasma from real patients The in vitro stability of PSA during storage temperatures before in citrate tubes were processed in parallel the same day at both analysis may affect total and free PSA concentrations. The limit of analyzers. Results were exported to an excel spreadsheet and the days that these samples can be stored at fridge temperature (4 °C) as statistical analysis was performed with the MedCalc software specified by the manufacturer is 48 h but this information differs (v.13.3.0.0), including Pearson correlation coefficient (r), Passing- from other studies consulted. bablok lineal regression (slope and intercept) and Bland-Altman graphic. Methods Results So the objective of this study was to directly determine the short- term stability of tPSA and fPSA under the storage conditions available The results are shown below (Figures). DD mg/L: r = 0,9916 at our laboratory. In order to decide whether to add, under clinical (IC95% = 0,9853 to 0,9952), slope = 0,9272 (CI95% = 0,8852 to solicitation, a PSA determination or not to a storage sample or how 0,9678), intercept = 0,005 (IC95% = −0,02238 to 0,04640); p = to act when a delay in the analysis occurs. 0,91. TP sec: r = 0,9068 (CI95% = 0,8930 to 0,9189), slope = 0,7537 (CI95% = 0,7293 to 0,7789), intercept = 49,177 (CI95% = 23,473 to Results 73,628); p = 0,35. aPTT sec: r = 0,9610 (CI95% = 0,9554 to 0,9660), slope = 0,8335 (CI95% = 0,8142 to 0,8530), intercept = 37,194 Specimens were centrifuged within 2/4 h of collection and (CI95% = −32,330 to 41,947); p = 0,06. Fib mg/dL: r = 0,9840 analyzed at baseline, 24 h, 48 h, 72 h, 4 and 5 days, until analysis (CI95% = 0,9802 to 0,9870), slope = 10,177(CI95% = 0,9966 to they were stored at 4 °C. The samples were analyzed on the 10,390), intercept = −18,1358 (CI95% = −25,5100 to −11,2745); Siemmens Immulite 2000xpi analyzer. We choose three different p = 0,05. ranges of PSA concentrations, b4 ng/ml, between 4 and 10 ng/ml (where we analyzed the free PSA and calculated the ratio fPSA/tPSA) Conclusions and N10 ng/ml. We analyzed 20 samples of each concentrations. The linearity of aPTT could be corrected applying a negative Conclusions correction factor (−0.8) from valuesN30 s. Rest of parameters show a correct correlation due to the systematic error only appears in high We calculated the percentage of change in the tPSA values and or very high values that exceed the range of clinical significance. The found that, in none of the samples at any time, wasn't greater than bias could be ignored and the use of Atellica® can be validated. the Technical CV. We found a bigger stability that others reports. Although the changes were more important in the fPSA values, when doi:10.1016/j.cca.2019.03.039 Abstracts / Clinica Chimica Acta 493 (2019) S13–S75 M005 with the average concentration of glucose in blood and is limited by the erythrocyte lifespan of approximately 100 to 120 days. As a Use of Sebia ‘CAPILLARYS’ platform analysers for the putative result, HbA1c reflects the average blood glucose level during the 2 to identification of haemoglobin variants 3 months prior to analysis.
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