Handling of lipemic samples in the clinical laboratory.

Interferences in the clinical laboratory may lead physicians misinterpret results for some biological analytes. The most common analytical interferences in the clinical laboratory include hemolysis, icterus and lipemia. Lipemia is defined as turbidity in a sample caused by the accumulation of lipoproteins, mainly very-low density lipoproteins (VLDL) and chylomicrons. Several methods are available for the detection of lipemic samples, including the lipemic index, or triglyceride quantification in serum or plasma samples, or mean corpuscular hemoglobin (MCHC) concentration in blood samples. According to the European Directive 98/79/CE, it is the responsibility of clinical laboratories to monitor the presence of interfering substances that may affect the measurement of an analyte. There is an urgent need to standardize interference studies and the way interferences are reported by manufacturers. Several methods are currently available to remove interference from lipemia and enable accurate measurement of biological quantities. The clinical laboratory should establish a protocol for the handling of lipemic samples according to the biological quantity to be tested.

Discrepancies in Lipemia Interference Between Endogenous Lipemic Samples and Smoflipid®-Supplemented Samples.

Background: Manufacturers evaluate lipemia-induced interference using Intralipid®, but it does not contain all lipoprotein types. The aim of this study was to evaluate lipemiainduced interference in biochemical parameters from endogenous lipemic samples and SMOFlipid® supplemented samples, in order to assess if SMOFlipid® can be used in lipemic interference studies. Methods: Serum pools were supplemented with SMOFlipid® to achieve 800 mg/dL and 1500 mg/dL triglyceride concentration, and analyzed for 25 biochemical parameters both before and after the supplementation. In another independent phase, lipemic serum pools were prepared choosing patient samples of 800 mg/dL and 1500 mg/dL triglyceride concentration. These lipemic serum pools were ultracentrifugated in order to remove lipids. Biochemical parameters were analyzed before and after ultracentrifugation. The bias between SMOFlipid®-supplemented samples and endogenous lipemic samples were compared. The bias between the lipemic and non-lipemic samples were compared with the reference change value. Results: At 800 mg/dL triglyceride concentration, we found that total protein and transferrin had been affected only in endogenous lipemic serum samples. Magnesium and creatinine had been affected only in SMOFlipid®-supplemented samples. At 1500 mg/dL triglyceride concentration, we found that total protein, amylase, ferritin and glucose had lipemic interference only in endogenous lipemic samples, and chloride only in SMOFlipid®-supplemented samples. Conclusions: The use of SMOFlipid®-supplemented samples does not provide suitable data to estimate lipemia-induced interference. Thus, interference studies should be performed using a wide variety of lipemic patient samples that represent the heterogeneity of the lipoprotein particles size.

Dynamic profiles and predictive values of some biochemical and haematological quantities in COVID-19 inpatients.

INTRODUCTION: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in some hospitalized patients has shown some important alterations in laboratory tests. The aim of this study was to establish the most relevant quantities associated with the worst prognosis related to COVID-19. MATERIALS AND METHODS: This was a descriptive, longitudinal, observational and retrospective study, in a cohort of 845 adult inpatients from Bellvitge University Hospital (L'Hospitalet de Llobregat, Barcelona, Spain). A multivariate regression analysis was carried out in demographic, clinical and laboratory data, comparing survivors (SURV) and non-survivors (no-SURV). A receiver operating characteristic analysis was also carried out to establish the cut-off point for poor prognostic with better specificity and sensibility. Dynamic changes in clinical laboratory measurements were tracked from day 1 to day 28 after the onset of symptoms. RESULTS: During their hospital stay, 18% of the patients died. Age, kidney disease, creatinine (CREA), lactate-dehydrogenase (LD), C-reactive-protein (CRP) and lymphocyte (LYM) concentration showed the strongest independent associations with the risk of death in the multivariate regression analysis. Established cut-off values for poor prognosis for CREA, LD, CRP and LYM concentrations were 75.0 µmol /L, 320 U/L, 80.9 mg/L and 0.69 x109/L. Dynamic profile of laboratory findings, were in agreement with the consequences of organ damage and tissue destruction. CONCLUSIONS: Age, kidney disease, CREA, LD, CRP and LYM concentrations in COVID-19 patients from the southern region of Catalonia provide important information for their prognosis. Measurement of LD has demonstrated to be very good indicator of poor prognosis at initial evaluation because of its stability over time.

Estimation of change limits (deltacheck) in clinical laboratory.

Objectives: Change limits, more commonly called delta check, are those in which a change in a patient's measured result in relation to their corresponding preceding measurement is suspected of being erroneous and should be considered as a doubtful result. The aim of this study was to provide change limits for some biochemical and haematological quantities to detect doubtful measured results and to assess its effectiveness to detect erroneous results for their application in and the standardization of the plausibility control. Methods: Change limits have been estimated for 13 biochemical and 6 haematological quantities. For each quantity, relative differences (D), expressed as a percentage between the two consecutive measured results from the same patient (from scheduled laboratory requests), were calculated. From these differences (D), the p5 and p95 percentiles of the data distribution were calculated. To assess the effectiveness of the change limits to detect laboratory errors, 43 erroneous laboratory reports, containing different biochemical and haematological quantities, were obtained from the standard laboratory plausibility control procedure. Results: From the 43 erroneous laboratory reports, 31 (72%) were due to endovenous administration errors and 12 (28%) were due to mislabeling errors. All erroneous laboratory reports were detected when the change limits of the quantities were combined and applied together. Conclusions: The best combination of quantities, which detect all the erroneous reports in the same specimen were: potassium, albumin, creatinine, glucose and haemoglobin.

Estrategia para el diagnóstico de las dislipidemias. Recomendación 2018 / Strategy for the diagnosis of dyslipidaemias

Las dislipidemias son alteraciones del metabolismo lipídico que cursan con concentraciones de lípidos alteradas, tanto por exceso como por defecto. Estas alteraciones están fuertemente asociadas con el proceso aterosclerótico, y se ha demostrado que el control de dichas alteraciones consigue disminuir la incidencia de episodios de origen isquémico. Diagnosticar las dislipidemias desde un punto de vista etiológico es muy importante, ya que el riesgo cardiovascular al que predispone cada una de ellas es diferente, dependiendo del tipo de lipoproteína que esté alterada y de su concentración. Por ello es de gran utilidad disponer de algoritmos diagnósticos sencillos que incluyan magnitudes del metabolismo lipídico disponibles en la mayoría de los laboratorios clínicos, con el fin de realizar el diagnóstico inicial del tipo de dislipidemia, en caso de poseer las herramientas diagnósticas adecuadas identificarla y, en caso contrario, disponer de la información apropiada para recomendar la ampliación del estudio en otro centro que disponga de los recursos necesarios para establecer el diagnóstico

Dyslipidaemias are alterations in lipid metabolism that involve an excess, as well as a deficit, in lipid concentrations. These alterations are strongly associated with atherosclerosis, and it has been shown that its control reduces the incidence of episodes of ischaemic origin. Diagnosing dyslipidaemias from an aetiological point of view is very important, since the cardiovascular risk to which each one predisposes is different, and depends on the type of lipoprotein that is altered and its concentration. For this reason, it is very useful to have simple diagnostic algorithms that include the measurements of lipid metabolism that are available in most clinical laboratories in order to make the initial diagnosis of the type of dyslipidaemia. In the case of having the right diagnostic tools, identify it; and if not, to have the appropriate information to recommend the extension of the study in another centre with resources to establish the diagnosis

Recomendaciones para la estandarización de la medida de lípidos y lipoproteínas. Recomendación (2018) / Recommendations for the standardisation of lipids and lipoproteins measurements. Recommendation (2018)

Este documento describe recomendaciones para la estandarización de la medida de las magnitudes lipídicas, puesto que resultan críticas para la toma de decisiones clínicas. Deben emplearse métodos recomendados validados frente a un método de referencia o definitivo, y materiales de control que cumplan con la Directiva Europea sobre Diagnóstico in vitro; deben cumplir también los objetivos recomendados por el National Cholesterol Education Program (NCEP) y la Sociedad Española de Medicina del Laboratorio (SEQCML). La determinación de colesterol de HDL por métodos homogéneos en equipos automatizados se considera aceptable para la práctica rutinaria, y la fórmula de Friedewald utilizable para estimar la concentración de colesterol de LDL siempre que las concentraciones de triglicéridos sean iguales o inferiores a 200mg/dL (2,3mmol/L); en otro caso, se recomienda utilizar la concentración de colesterol-no-HDL. La cuantificación rutinaria de apolipoproteínas A1 y B, y lipoproteína (a), puede efectuarse por métodos de inmunonefelometría e inmunoturbidimetría, con calibradores trazables a materiales de referencia

Some recommendations are presented for standardising the measurement of lipids and lipoproteins, as they are critical for clinical decisions making. Recommended methods validated against a reference or definitive method should be employed, as well as the use of control materials that comply with European Directives on in vitro diagnostics. Additionally, the chosen methods must comply with the objectives set forth by the National Cholesterol Education Program (NCEP) and by the Spanish Society of Laboratory Medicine (SEQCML). Determination of HDL cholesterol using automatic homogenous methods is considered acceptable for normal clinical practice, and the Friedewald Formula is considered to be usable to estimate LDL cholesterol concentration when triglyceride concentrations are below 200mg/dL (2.3mmol/L). If this should not be the case, the use of non-HDL cholesterol is recommended. Routine quantification of apolipoproteins A1 and B, and lipoprotein (a) can be measured using immunonephelometric or immunoturbidimetric methods, with calibrators that are traceable to reference materials

Analysis of laboratory critical values at a referral Spanish tertiary university hospital.

INTRODUCTION: The aim of this study was to analyse critical value data from our laboratory and compare our critical value reporting policy with others in the literature. MATERIALS AND METHODS: Analysis of critical values was performed on data obtained over a 6-month period in a tertiary university hospital. RESULTS: We identified 5723 critical values, of which approximately 80% came from STAT testing (4577), 15% from routine inpatients testing (884) and 5% from routine outpatients testing (262). The highest proportion of critical values corresponded to oxygen partial pressure (17.7%), followed by potassium ion (17.6%) concentrations. The parameters associated with the highest critical value notification percentage in emergency patients were pH, haematocrit, glucose, potassium ion and haemoglobin concentrations. In inpatients, these parameters were glucose, phosphate, haemoglobin, sodium ion and potassium ion concentrations. In outpatients, they were calcium and potassium concentrations. CONCLUSIONS: The analysis of critical values in our hospital is in accordance with that reported in the literature. Our findings demonstrate the importance of incorporating improvement actions not only in critical value notification, but especially in the registration of this activity.

Removing Lipemia in Serum/Plasma Samples: A Multicenter Study.

BACKGROUND: Lipemia, a significant source of analytical errors in clinical laboratory settings, should be removed prior to measuring biochemical parameters. We investigated whether lipemia in serum/plasma samples can be removed using a method that is easier and more practicable than ultracentrifugation, the current reference method. METHODS: Seven hospital laboratories in Spain participated in this study. We first compared the effectiveness of ultracentrifugation (108,200×g) and high-speed centrifugation (10,000×g for 15 minutes) in removing lipemia. Second, we compared high-speed centrifugation with two liquid-liquid extraction methods-LipoClear (StatSpin, Norwood, USA), and 1,1,2-trichlorotrifluoroethane (Merck, Darmstadt, Germany). We assessed 14 biochemical parameters: serum/plasma concentrations of sodium ion, potassium ion, chloride ion, glucose, total protein, albumin, creatinine, urea, alkaline phosphatase, gamma-glutamyl transferase, alanine aminotransferase, aspartate-aminotransferase, calcium, and bilirubin. We analyzed whether the differences between lipemia removal methods exceeded the limit for clinically significant interference (LCSI). RESULTS: When ultracentrifugation and high-speed centrifugation were compared, no parameter had a difference that exceeded the LCSI. When high-speed centrifugation was compared with the two liquid-liquid extraction methods, we found differences exceeding the LCSI in protein, calcium, and aspartate aminotransferase in the comparison with 1,1,2-trichlorotrifluoroethane, and in protein, albumin, and calcium in the comparison with LipoClear. Differences in other parameters did not exceed the LCSI. CONCLUSIONS: High-speed centrifugation (10,000×g for 15 minutes) can be used instead of ultracentrifugation to remove lipemia in serum/plasma samples. LipoClear and 1,1,2-trichlorotrifluoroethane are unsuitable as they interfere with the measurement of certain parameters.

Reference values assessment in a Mediterranean population for small dense low-density lipoprotein concentration isolated by an optimized precipitation method.

BACKGROUND: High serum concentrations of small dense low-density lipoprotein cholesterol (sd-LDL-c) particles are associated with risk of cardiovascular disease (CVD). Their clinical application has been hindered as a consequence of the laborious current method used for their quantification. OBJECTIVE: Optimize a simple and fast precipitation method to isolate sd-LDL particles and establish a reference interval in a Mediterranean population. MATERIALS AND METHODS: Forty-five serum samples were collected, and sd-LDL particles were isolated using a modified heparin-Mg2+ precipitation method. sd-LDL-c concentration was calculated by subtracting high-density lipoprotein cholesterol (HDL-c) from the total cholesterol measured in the supernatant. This method was compared with the reference method (ultracentrifugation). Reference values were estimated according to the Clinical and Laboratory Standards Institute and The International Federation of Clinical Chemistry and Laboratory Medicine recommendations. sd-LDL-c concentration was measured in serums from 79 subjects with no lipid metabolism abnormalities. RESULTS: The Passing-Bablok regression equation is y = 1.52 (0.72 to 1.73) + 0.07x (-0.1 to 0.13), demonstrating no significant statistical differences between the modified precipitation method and the ultracentrifugation reference method. Similarly, no differences were detected when considering only sd-LDL-c from dyslipidemic patients, since the modifications added to the precipitation method facilitated the proper sedimentation of triglycerides and other lipoproteins. The reference interval for sd-LDL-c concentration estimated in a Mediterranean population was 0.04-0.47 mmol/L. CONCLUSION: An optimization of the heparin-Mg2+ precipitation method for sd-LDL particle isolation was performed, and reference intervals were established in a Spanish Mediterranean population. Measured values were equivalent to those obtained with the reference method, assuring its clinical application when tested in both normolipidemic and dyslipidemic subjects.

Estimation of Alert and Change Limits of Haematological Quantities and its Application in the Plausibility Control.

INTRODUCTION: In the process of quality assurance of the measured values of the clinical laboratory, one of the purposes is to perform the validation of patients' measured values in the most objective way. This validation process is called plausibility control which may be defined as the set of procedures used to decide if a patient's measured value is valid according to established clinical and biological criteria. The aim of this study is to propose a model to estimate alert and change limits of measured values of the blood cell count, to be applied to detect doubtful patients' measured values. METHODS: Some alert and change limits were estimated from the emergency laboratory database of the year 2010 using different percentiles. A verification of the suitability of the proposed model was also performed. RESULTS: Most of the fractions of the measured values excluded by the alert and change limits were according to the theoretical expected. The overall fraction of the number of doubtful clinical laboratory reports ranged between 0.6 and 47.6 %. CONCLUSIONS: The proposed model helps, improves and standardizes the process of detection of doubtful measured values since they are produced objectively. These limits can also be configured in a laboratory information system letting the clinical laboratory professional staff to save time and efforts.