Literature DB >> 30581344

Effect of Blood Cell Subtypes Lysis on Routine Biochemical Tests.

Burcu Ünlü1, Tuncay Küme1, Mestan Emek1, Murat Örmen1, Yavuz Doğan1, Ali Rıza Şişman1, Gül Ergör1, Canan Çoker1.   

Abstract

BACKGROUND: The aim of this study is to establish the contribution of blood cells subtypes on hemolysis.
METHODS: Separated blood cell subtype suspensions prepared with blood from 10 volunteers were serially diluted to obtain different concentrations of cell suspensions. The cells were fully lysed and cell hemolysates were added (1:20) to aliquots of serum pool. Thus, seven serum pools with different concentrations of interferent were obtained for each blood cell subtype. Biochemical parameters and serum indices were measured by an autoanalyzer. As cell lysis markers, free hemoglobin was measured by spectrophotometry while myeloperoxidase and ᵝ-thromboglobulin were measured by enzyme immunoassay. The percent changes in analyte levels of the serum pools were evaulated by Wilcoxon Signed Rank Test and compared with clinical thresholds defined for each test.
RESULTS: The clinical thresholds were exceeded in lactate dehydrogenase, potassium, aspartate aminotransferase, creatine kinase, magnesium, total protein, total cholesterol, inorganic phosphate, glucose for red blood cells (RBC); lactate dehydrogenase, aspartate aminotransferase, total protein, inorganic phosphate and glucose for platelets (PLT). Free hemoglobin was significantly correlated with RBC (r=0.999; p=0.001), while myeloperoxidase and b thromboglobulin showed no significant correlation to white blood cells (WBC) and PLT, respectively.
CONCLUSIONS: The effect of RBC hemolysis in serum on the routine biochemical tests are clearly established, yet, additional studies are required in order to verify this kind of effects of PLT and WBC hemolysis.

Entities:  

Keywords:  biochemical test; free hemoglobin; hemolysis; interference; myeloperoxidase

Year:  2018        PMID: 30581344      PMCID: PMC6294101          DOI: 10.1515/jomb-2017-0044

Source DB:  PubMed          Journal:  J Med Biochem        ISSN: 1452-8266            Impact factor:   3.402


Introduction

Hemolyzed samples make up 3% of the routine samples sent to clinical laboratories and are responsible for 39–69% of the unsuitable specimens, this is 5 times more than the second most frequent reason (1). Although hemolysis may occur in vivo, the in vitro hemolysis in the preanalytical phase is the major problem faced by clinical laboratories (2, 3). Elucidation of the interference mechanisms of hemolysis is necessary for more precise solutions of the problem of in vitro hemolysis. Hemolyzed samples interfere with the test results by several mechanisms such as compositional interference due to the difference between the intra- and extracellular concentration of the analytes, signal interference in instrumental measurements and chemical interference in analytical reactions. These interference mechanisms might coexist in varying combinations (4). Although there is considerable information about the occurrence mechanisms of hemolysis, no practical solution such as removal of the interferent or application of a correction factor has been established (5). The rejection of the test results of hemolyzed samples may lead to a delay in diagnosis thus threatening the patient’s safety, and the request of an additional sample increases the workload and the cost (6, 7, 8, 9, 10). Definitions are generally to explain sources, potent factors or mechanisms of a process and are related to viewpoints of a topic. The definition hemolysis comes from the Latin word hemo (blood) and lysis (to break open) and means destruction of blood cells (11). Scientists usually restrict hemolysis to red blood cells (RBC) called erythrolysis which makes up the greatest percent of blood cells and ignores the effects of the other blood cells. In relation to this approach, the methods to evaluate the hemolysis depends »solely« on the measured amount of free hemoglobin (fHb) released from destructed RBC (12). In contrary, a small number of scientists describe hemolysis as the destruction of all types of blood cells, namely pancytolysis and state that white blood cells (WBC) and platelets (PLT) also contribute to hemolysis (13, 14). Dimeski et al investigated the relationship between cell concentration and test results in pancytolysis and found that WBC may contribute to the increase in potassium levels in lysis state (15). The question about the separate effects of lysis of different cell types on the test results still need to be answered. The aim of this study is to establish how the concentration and type of lysed cells contribute to hemolysis interference and to search for hemolysis markers released from blood cells other than RBC.

Materials and Methods

Study Design

This study started after the approval by the Local Research Ethical Committee (Dokuz Eylül University Medical Faculty, Izmir, Turkey) and all contributing participants in this study have given written consent. Thirteen participants aged 18–55 were included in this study. They met the blood bank donor requirements and had no pathological values in biochemistry, whole blood count or serology laboratory results. The laboratory data of participants were summarized in . Laboratory data of 13 participants with analytical method information. Serological tests applied: HBs Ag, Anti-HCV, HIV Ag/Ab, Anti Treponema pallidum IgM, IgG-, were negative. AST, Aspartate Aminotransferase; ALT, Alanine Aminotransferase; ALP, Alkaline Phosphatase; CK, Creatine Kinase; fHb, free hemoglobin; GGT, Gammaglutamyl transferase; HDL, High Density Lipoprotein; LDH, Lactate Dehydrogenase; LDL, Low Density Lipoprotein; PLT, platelet; RBC, red blood cell; UIBC, Unsaturated iron-binding capacity, WBC, white blood cell. The steps taken in this study were shown in . The steps of the study.

Preparation of Interferent

Blood Collection: One unit of whole blood (450 mL) from each participant (n=10) was collected in blood bags on different days. The blood bag system used for blood collection was Compoflex 4-bag system with Citrate Phosphate Dextrose Adenine (CPDA) solution with no filter (Fresenius Kabi AG, Bad Hamburg, Germany). Each blood collection was completed within 10 min. Cell Separation: The whole blood samples in blood bags were processed using semi-automated blood component separator Compamat G4 (Fresenius Hemocare Inc., Redmond, Washington). RBC suspensions were separated into satellite bags with Salin-Adenin-Glucose-Mannitol (SAG-M) and PLT suspensions were separated into satellite bags without anticoagulant. Also, WBC rich residue bloods were left in primary blood bags. Cell Isolation and Washing: Following these steps, 3 mL of WBC rich residue blood in the whole blood bag was carefully added and layered on 3 mL Histopaque 1119 in falcon tubes of 15 mL. These tubes were centrifuged at 700 × g for 30 min at unbraked stop mode and the tubes were carefully removed. The WBC rich cell suspensions were collected from the buffy coat layer using micropipette. RBC suspensions were filtered 2 times by gravity filtration method with laboratory type WBC filters. Then, RBC suspension was added into falcon tube of 15 mL and centrifuged at 200 ×g for 10 min. 2 mL of RBC package was removed and washed with 10 mL of normal saline and this washing step was repeated for 5 times. After the final washing step, supernatant was disposed and 4 mL of normal saline was added to RBC package and the tube was overturned gently for 10 times for homogenization. Similarly, WBC rich cell suspensions from buffy coat were centrifuged at 200 × g for 10 min. PLT rich supernatants were disposed until 2 mL volume remained. WBC rich sediments were washed with 10 mL of normal saline for 5 times. After the final washing step, the samples were combined and the tube was overturned gently for 10 times for homogenization. Likewise, PLT suspensions were filtered by gravity filtration method with laboratory type WBC filters. Then, PLT suspensions were added into 15 mL of falcon tubes and centrifuged at 200 × g for 10 min. 3 mL of PLT rich supernatants were transferred into different falcon tubes and the tube was overturned gently for 10 times for homogenization. Yet, no washing was applied to PLT suspensions because of aggregation problem. Cell Suspension Preparation: The concentrations of the cell suspensions were measured by LH780 hematology analyzer (Beckman Coulter Inc., Miami, Florida, USA). The linearity ranges of this instrument for RBC, WBC, PLT were 0–8 × 106; 0–400 × 103; 0–3000 × 103/μL, respectively. The cell suspensions were diluted using normal saline to obtain the concentrations of 1600000/μL for RBC, 10000/μL for WBC and 96000/μL for PLT. Then, cell suspensions were diluted serially (1/2, 1/4, 1/8, 1/16, 1/32, 1/64) in micro-centrifuge tubes. The samples in micro-centrifuge tubes were stored at –70 °C. Complete Hemolysis of Cell Suspension: The separated cell suspensions were kept at –70 °C for 1 week and then blood cells were lysed completely by freeze-thaw cycles (16). The overall hemolysis of the cell suspensions were confirmed by microscopic examination of hemolysates containing the lowest and the highest cell concentrations for 3 cell types, using Neubauer cell counting chamber and smear prepared by Wright stain. Hemolysate Separation: The cell debris was separated by centrifugation at 12000 × g for 10 min. Supernatants were removed and added into microcentrifuge tubes as hemolysate for the interference experiment.

Serum Pool Preparation

Blood Collection: One unit of whole blood (450 mL) was drawn into blood bags without anticoagulant from 3 participants. Blood bags without anticoagulant had been obtained using sterile anastomosis. Each blood collection was completed within 10 min. Serum Separation: Blood samples were allowed to clot for 90 min at a 45° angle and centrifuged at 1200 × g for 10 min at unbraked stop mode. Serum samples were transferred by Pasteur pipette into an Erlenmeyer flask. These procedures were done on the last 2 days before the interference experiment and the samples were stored at +4 °C.

Interference Experiment

Addition of Hemolysate: To obtain 1/20 interferent ratio, 950 μL serum pool and 50 μL hemolysate which consisted of lysed cells at different concentrations were added to each micro-centrifuge tube and then vortexed. For the basal concentration, instead of hemolysate, 50 μL normal saline was added and then vortexed. Analysis of The Biochemical Tests and The Serum Indices: The 12 biochemical test parameters were selected according to the degree of susceptibility to hemolysis as classified by the manufacturer: 4 from 50-99 of hemolysis index (HI) (LDH, potassium, AST, iron), 2 from 100–199 of HI (CK, Mg), 2 from 200–299 of HI (total protein, total cholesterol), 2 from 300–500 of HI (inorganic phosphate, glucose) and 2 from >500 of HI (Ca, BUN) (17). The biochemical tests were measured in duplicate by using the samples which were divided into two aliquots within a single analytical run. All the samples were analyzed with AU5800 Clinical Chemistry System (Beckman Coulter Inc., Miami, Florida, USA) using original reagents. The assay methods used were summarized in . All biochemical tests were analyzed at the Central Laboratory of Dokuz Eylül University Hospital, an ISO 15189 accredited laboratory. All results were reported as the mean of duplicated measurements. The effect of hemolysis on the biochemical tests was evaluated by comparing 7 different concentrations of each blood cell type with the basal concentration (). The semi-quantitative equivalents of fHb were calculated for a well matched comparison of the clinical thresholds determined by this study against other studies as well as with the data reported by the manufacturer of the analytical system used (). The cell components of the separated RBC, PLT and WBC suspensions. Conc, concentration; PLT, platelet; RBC, red blood cell; WBC, white blood cell. *Cell concentrations are shown as median (cell/μL). **Cell distribution rates are shown as percent (%). Median fHb concentrations of RBC suspensions and corresponding hemolysis index ranges of AU5800 Clinical Chemistry System. fHb, free hemoglobin; N, normaL; RBCs, red blood cells. * fHb levels are shown as g/L. The percent changes from basal concentrations were calculated for each biochemical tests via this formula: Percent change in test result (%) = [(Experiment sample test result – Basal sample test result) / Basal sample test result] × 100. The percent change values of biochemical tests were compared with the percent bias limit. The analytical threshold, shown in , is the concentration at which the statistically significant difference begins and the clinical threshold is the one at which the percent bias limit is exceeded. The percent bias limits are from a large scaled database research that considers the between and within subjects biological variation and is made by »Analytical Quality Commission from the Spanish Society of Clinical Chemistry and Molecular Pathology (SEQC)« () (18). The data of some percent bias limits is used as updated from Westgard Website (19). The percent changes and percent bias limits of 12 biochemical tests for each interferent concentration. ᵝ-TG, thromboglobulin; fHb, free hemoglobin; MPO, myeloperoxidase. The biochemical tests are listed according to the degree of sensibility to hemolysis as indicated by the manufacturer. Results exceeding the bias limit are marked in bold. Cell concentrations, hemolysis markers and biochemical tests are presented as median.*: p < 0.007 (significance according to basal concentrations). ** Ricos C, Alvarez V, Cava F, Garcia-Lario JV, Hernandez A, Jimenez CV, Minchinela J, Perich C, Simon M. Desirable specification for total error, imprecision, and bias, derived from intra- and inter- individual biologic variation. The 2014 update. Available from: www.westgard.com/biodatabase1.htm Accessed October, 2016. Comparison of clinical thresholds to previous studies and the manufacturer data based on whole blood cell lysis. ᵝ-TG, thromboglobulin; Conc, concentration; fHb, free hemoglobin; PLT, platelet; RBC, red blood cell. Parameters which show significantly different clinical thresholds in whole blood lysis compared to RBC lysis are marked in bold. *: Cell concentrations, fHb, ᵝ-TB and MPO were presented as cell/ᵝL, g/L, ng/mL and ng/mL, respectively. Semi quantitative evaluation: limit is not exceeded »Ø«. fHb <0.50 g/L »1+«, fHb =0.50–0.99 g/L »2+«, fHb =1.00–1.99 g/L »3+«, fHb =2.00–2.99 g/L »4+«, fHb =3.00–5.00 g/L »5+«, fHb >5.00 g/L »6+«. **: ND: Not detected

Analysis of the Hemolysis Markers

fHb, as hemolysis marker for RBC, was measured with a colorimetric assay kit (Catachem Inc., Oxford, England). fHb determination method was based upon the peroxidase activity of hemoglobin. Hemoglobin activates the oxidation of 3.3’, 5.5’-tetramethylbenzidine by hydrogen peroxide to form a chromogenic product with maximum absorption at 650 nm (20). Myeloperoxidase (MPO), as hemolysis marker for WBC, was measured with an enzyme immunoassay test kit (Biocheck Inc., Foster City, California, USA). And finally, ᵝ-thromboglobulin (ᵝ-TG), as hemolysis marker for PLT, was measured with an enzyme immunoassay test kit (CUSABIO Inc., Wuhan, China) (21, 22).

Statistical Analysis

Statistical analyses were performed by using Statistical Package for Social Sciences (SPSS) software version 22.0 for Windows (version 22, SPSS Inc., Chicago, IL, USA) and Microsoft Office Excel 2013 (Microsoft, Seattle, WA, USA). The distribution of the variables were determined using Shapiro-Wilk Test and P value of >0.05 was considered as normal (Gaussian) distribution. Descriptive statistics were presented with median for all variables. Friedman Variance Analysis was used for comparing more than two groups. Statistical significance of the change from baseline was measured using the Wilcoxon Signed Rank Test (P-value was adjusted to 0.007 for pairwise comparisons). Simple Linear Regression was used for association between blood cell concentrations and hemolysis markers and and P values of <0.05 were considered significant.

Results

Evaluation of the Interferent Preparation

Evaluation of the Cell Isolation: The composition of the cell suspensions that are prepared after the blood component separation, detected by whole blood cell count, is shown in . Considering the limitations of the blood component separation methods used, purity of 95% was aimed and obtained for RBC and PLT suspensions. But this goal could not be achieved for the WBC suspensions. The data about WBC is not presented in this study, because of WBC suspensions were contaminated with RBC and PLT to a large extent. Evaluation of the Cell Lysis: In the microscopic examination of the hemolysates of the lowest and the highest cell concentrations for 3 cell types no intact cell was detected, confirming that complete hemolysis was achieved. The degree of hemolysis for RBC suspensions after the hemolysis procedure were evaluated according to fHb amounts and matched with the ranges of the hemolysis indices of the AU5800 Clinical Chemistry System ().

Evaluation of the Interference

The effect of hemolyzed RBC and PLT suspensions to the biochemical tests is shown as percent changes in . The percent change values were compared with the clinical threshold. The percent change values exceeding the clinical threshold were determined as +4.8% for LDH at 0.234 g/L of fHb level (or 50000 cell/μL of RBC), +1.9% for K at 0.526 g/L of fHb level (or 200000 cell/μL of RBC), +8.6% for AST at 0.346 g/L of fHb level (or 100000 cell/μL of RBC), +1.9% for Mg and +3.7% for i.phosphate at 1.210 g/L of fHb level (or 400000 cell/μL of RBC) and +7.9% for LDH, +1.5% for total protein, +3.7% for inorganic phosphate, and +2.9% for glucose at 90000 cell/μL of PLT.

Evaluation of the Hemolysis Markers

There was a positive linear association between RBC concentration and fHb (fHb = 5.12 + 0.28 × RBC count). 99% of variations between RBC concentration and fHb are explained by this equation (P=0.001). There was no association between WBC concentration and MPO and between PLT concentration and μ-TG (P=0.436; P=0.277 respectively).

Discussion

It has been reported many times in literature that hemolysis interference causes bias in a great variety of tests including biochemical, immunochemical, hematological, coagulation and blood gas analysis. This problem occurs very frequently in clinical laboratories and threatens the patients’ safety. In this study, the effect of hemolysis on biochemical tests have been investigated by an experimental model focusing on blood cell subtypes. The clinical thresholds for biochemical tests were evaluated semiquantitatively and compared to the data reported by previous studies in literature and also to the manufacturer of the analytical system used (). There are two studies, Köseoğlu (23) and Lippi (24), which examine the relationship between fHb and the affected test results using similar biochemical tests and bias limits. The clinical thresholds showed similarities between two studies and manufacturer data for only three parameters (LDH, AST and calcium). On the other hand, CK showed significantly higher values whereas magnesium showed significantly lower clinical thresholds compared to both previous studies. Manufacturers’ suggestions about the use of specified cut off limits for the test results of hemolyzed specimens must also be regarded (17). The cut off limits were identical or similar to LDH, potassium, AST, magnesium, total protein and total cholesterol while the cut off limits were markedly different for iron, CK, inorganic phosphate and glucose. It should be noticed that these clinical studies’ and manufacturer’s data reflect whole blood lysis results whereas our study shows separated RBC lysis results (17, 23, 24). Other factors that further decrease the comparability of these interference studies are variations regarding sample type, the method of hemolysis, dilution factor, analytical methods, evaluation limits and statistical methods (17, 23, 24, 25, 26, 27). Further supporting this opinion, Grafmeyer et al. (25) investigated the effects of hemolysis, icterus and lipemia on 20 different biochemical tests using 15 automatic analysers representative of those found on the French market. He stated that the difference in methods as well as the difference in adaptation of the methods to the analyzers are important. Considering the importance of the analytical method in interference, it is irrational to accept the results of studies performed with a specific analytical system and adapt it to all clinical laboratories. Thus, in routine clinical chemistry testing it might be appropriate for each laboratory to determine its own clinical thresholds (23, 24). In order to achieve standardization in the studies on hemolysis interference, some critical suggestions have been put forward by Lippi (24). According to Lippi, the method used for preparation of hemolysate must reflect the mechanical hemolysis during phlebotomy, the interferent concentrations must be in the range of hemolysis observed in clinical specimens, the interferent must be added in the smallest dilution possible, the bias related to interference must be compared with the clinical threshold and the analyte-interferent relationship data must be evaluated (28). We did not preferred osmotic shock and similar mechanical destruction methods in this study considering the disadvantages related to the addition of chemicals resulting in higher dilution and contamination. Also, we used the freeze-thaw method to achieve full lysis of the isolated cells since the main objective was to evaluate the relationship between the concentration of the lysed cells and the analyte. Supported by Lippi’s article and evaluating that Meites has stressed that the serum dilution ratio should be kept at minimum (not more than 5%) in interference experiments, the sample matrix of this study was preserved by using the ratio of 1/20 for the hemolysate (28, 29). As to the effect of the PLT on the biochemical tests; the clinical threshold for the affected tests (LDH, AST, total protein, inorganic phosphate and glucose) was exceeded only at high concentrations of hemolysis (). This may indicate that the contribution of PLT is rather low in whole blood lysis. On the other hand, if hemolysis occurs in a patient with high PLT count, the effect of PLT on these tests may emerge more apparently. More intriguing is the effect of the PLT on potassium levels, although full lysis of PLT has been achieved in our experimental model the clinical threshold for potassium was not exceeded (). In the study of Dimeski et al. (15), the change in the level of potassium have been investigated per unit hemolysis index (HI) at varying blood cell (RBC, WBC, PLT) concentrations and it was also concluded that platelet count did not significantly contribute to potassium increase. One of the limitations of this study was the possible artificial activation of PLT which leads to aggregation and the release of cell content. The aggregation of cells hampers the cells, thus the measurement of cell concentration and preparation of cell suspensions with accurate cell count are not possible. On the other hand, the release of cell content affects test results in interference experiments, here mainly the release of potassium from PLT’s gave unexpected results. From this point of view, there exists a controversy between the application of aggressive procedures for satisfactory purity and gentle procedures for reliable interference experiments. In this study, no washing step was applied for PLT to avoid the centrifugation which may lead to aggregation and no chemicals such as antiaggregant were used to avoid contamination and a relatively gentle procedure was applied in this experiment. Another limitation of this study occurred with WBC’s separation. The quadruple blood bag system and the semi-automated blood component separator verified by the requirements of the blood bank was used for cell separation. This study specifically applied additional isolation steps such as filtration for RBC and PLT and Histopaque 1119 density centrifugation for WBC. In low concentrations, the purity that could be achieved was 95% for RBC, 97% for PLT and <95% for WBC. Since WBC could not be sufficiently isolated, its effect on biochemical tests could not be exactly evaluated. In the future, more sufficient purification will allow isolation of mature cells. Such cells as mononuclear cells like lymphocyte, monocyte, or polymorphonuclear cells like neutrophil, basophil and eosinophil for WBC can be isolated. Isolation of immature cells such as reticulocyte, nucleated cells and erythroblast for RBC and giant PLT for PLT are also possible. Even more, pathological cells such as those seen with leukemia and lymphoma cells for WBC can be isolated. Thus, this can make it possible to exhibit the effects of WBC on hemolysis and also the effect of hemolysis even in hematological disorders. Simulation of the hemolysis of the specimens representing individuals with increased numbers of blood cells in cases of polycythemia, thrombocytosis and leukocytosis, need to be performed in further interference experiments. The main focus of this study was on how the number of lysed cells affect the change in the test results. Unfortunately, this approach is not applicable in routine practice. It is more convenient to measure biomarkers released following cell lysis to indicate the degree of hemolysis. In the studies about hemolysis interference, test results are commonly evaluated against fHb as an indicator of hemolysis. Many clinical laboratories perform automatic spectrophotometric measurement of fHb instead of the subjective visual inspection in order to determine the degree of hemolysis (30). fHb levels show very strong positive correlation with the number of lysed RBC, as it is also observed in this study. However, it should be realized that fHb levels do not reflect the contribution of other blood cells to hemolysis. In the endeavor to discover potential biomarkers of hemolysis, MPO and ᵝ-TG were investigated respectively for WBC and PLT. No significant correlation could be detected between these molecules and the number of lysed cells possibly due to the matrix effect related to the addition of hemolysate, though in minimum amounts, to the serum. If specific reliable biomarkers for different blood cells could be discovered, the grading of hemolysis based only on fHb can be modified. In this study, the relationship between RBC concentration and the effects on biochemical tests are clearly established. Yet, it cannot be ignored that additional studies are required in order to verify this relationship for PLT and WBC concentrations. The methods for isolation of WBC and PLT need to be improved in order to establish their influence on biochemical tests in hemolyzed samples more definitely. These studies will provide valuable clues for solutions of the hemolysis interference in clinical laboratories. It may be foreseen that search for biomarkers of hemol-ysis for different blood cells will be a significant objective for future studies.
Table I

Laboratory data of 13 participants with analytical method information.

CharacteristicsMethodMean ± SD
WBC × 109 (cell/L)Electrical impedance method6.05 ± 1.51
RBC × 1012 (cell/L)Electrical impedance method5.07 ± 0.36
PLT × 109 (cell/L)Electrical impedance method208 ± 40
Hb (g/L)Spectrophometric method with noncyanide reagent151 ± 9
Glucose (mmol/L)Enzymatic method with he×okinase5.22 ± 0.99
Blood Urea Nitrogen (mmol/L)Enzymatic method with urease/glutamate dehydrogenase4.64 ± 1.07
Creatinine (mmol/L)Jaffe kinetic method70.7 ± 8.8
Uric Acid (mmol/L)Enzymatic method with uricase/pero×idase321.2 ± 71.4
AST (U/L)IFCC method without pyrido×al phosphate activation18 ± 2
ALT (U/L)IFCC method without pyrido×al phosphate activation17 ± 4
ALP (U/L)IFCC method with 2-amino-2-methyl-1-propanol (AMP) buffer73 ± 17
CK (U/L)IFCC method with N-acetylcysteine-activated90 ± 31
GGT (U/L)IFCC method with L- -glutamyl-3-carbo×y-4-nitroanilide19 ± 8
LDH (U/L)IFCC method with lactate-pyruvate142 ± 17
Total Cholesterol (mmol/L)Enzymatic method with cholesterol esterase4.76 ± 0.72
Triglyceride (mmol/L)Enzymatic metod with glycerol phosphate o×idase1.50 ± 0.72
HDL (mmol/L)Direct method with immunoinhibition1.90 ± 0.23
LDL (mmol/L)Direct method with selective detergent2.51 ± 0.67
Total Protein (g/L)Biuret method69 ± 3
Albumin (g/L)Bromocresol green method46 ± 2
Total Bilirubin (μmol/L)Diazo method, 3,5-dichlorophenyldiazonium tetrafluoroborate (DPD)13.85 ± 4.28
Direct Bilirubin (μmol/L)Diazo method, 3,5-dichlorophenyldiazonium tetrafluoroborate (DPD)2.39 ± 1.03
Calcium (mmol/L)Arsenazo III method2.42 ± 0.10
Inorganic Phosphate (mmol/L)Ammonium molybdate UV method1.07 ± 0.13
Iron (μmol/L)Tri-pyridyl-triazine method18.4 ± 7.2
UIBC (μmol/L)Nitroso-PSAP method53.3 ± 11.5
Magnesium (mmol/L)×ylidyl blue method0.82 ± 0.05
Sodium (mmol/L)Indirect ion-selective electrode method140 ± 1
Potassium (mmol/L)Indirect ion-selective electrode method3.99 ± 0.29
Chloride (mmol/L)Indirect ion-selective electrode method104 ± 2

Serological tests applied: HBs Ag, Anti-HCV, HIV Ag/Ab, Anti Treponema pallidum IgM, IgG-, were negative. AST, Aspartate Aminotransferase; ALT, Alanine Aminotransferase; ALP, Alkaline Phosphatase; CK, Creatine Kinase; fHb, free hemoglobin; GGT, Gammaglutamyl transferase; HDL, High Density Lipoprotein; LDH, Lactate Dehydrogenase; LDL, Low Density Lipoprotein; PLT, platelet; RBC, red blood cell; UIBC, Unsaturated iron-binding capacity, WBC, white blood cell.

Table II

The cell components of the separated RBC, PLT and WBC suspensions.

ConcentrationsRBC suspensionsPLT suspensionsWBC suspensions
RBC* conc.Cell distribution** RBC:WBC:PLTPLT*conc.Cell distribution** RBC:WBC:PLTWBC* conc.Cell distribution** RBC:WBC:PLT
Basal00 : 0 : 000 : 0 : 000 : 0 : 0
12000095.2 : 0 : 4.820000 : 2.4 : 97.61000 : 9.1 : 90.9
25000098.0 : 0 : 2.040000 : 0 : 1002000 : 16.7 : 83.3
310000099.0 : 0 : 1.060000 : 0 : 1003500 : 14.9 : 85.1
420000099.5 : 0 : 0.5120000 : 0.4 : 99.68000 : 21.1 : 78.9
540000099.8 : 0 : 0.2230000 : 0 : 100190059.2 : 11.2 : 29.6
680000099.9 : 0 : 0.1445000 : 0.2 : 99.8470044.1 : 20.7 : 35.2
7162000099.9 : 0 : 0.1900000 : 0.1 : 99.91050044.0 : 23.1 : 33.0

Conc, concentration; PLT, platelet; RBC, red blood cell; WBC, white blood cell.

*Cell concentrations are shown as median (cell/μL).

**Cell distribution rates are shown as percent (%).

Table III

Median fHb concentrations of RBC suspensions and corresponding hemolysis index ranges of AU5800 Clinical Chemistry System.

Manufacturer’shemolysis indexrangesfHb concentrations of RBC suspensions*
BasalRBC1RBC2RBC3RBC4RBC5RBC6RBC7
N<0.500.0820.1320.2340.346
1+0.50–0.990.526
2+1.00–1.991.210
3+2.00–2.992.263
4+3.00–5.004.703
5+>5.00

fHb, free hemoglobin; N, normaL; RBCs, red blood cells. * fHb levels are shown as g/L.

Table IV

The percent changes and percent bias limits of 12 biochemical tests for each interferent concentration.

TestConcentrationsBias limit (%)
Basal1234567
CellRBC20000500001000002000004000008000001620000
concentrationPLT20004000600012000230004450090000
(cell/μL)WBC1002003508001900470010500
Hemolysis Markers Concentrations**
fHb (g/L)RBC0.0820.1320.2340.3460.5261.2102.2634.703
ᵝ-TB (ng/mL)PLT9.110.310.312.312.211.410.68.7
MPO (ng/mL)WBC41.339.639.642.440.040.640.040.1
Biochemical TestsConc.Percent Changes (%)
Lactate DehydrogenaseRBC151+3.2*+4.8*+10.0*+21.9*+43.9*+91.5*+190.5*±4.3
(U/L)PLT+0.3–0.2+0.3+1.3+1.6+3.8*+7.9*
PotassiumRBC3.49+0.1+0.6+1.3+1.9*+4.9*+9.7*+19.7*±1.8
(mmol/L)PLT–0.1–0.1–0.2–0.1+0.1+0.1+1.0
Aspartate AminotransferaseRBC180.0+0.1+8.6+8.6*+22.5+35.1*+74.3*±6.5**
(U/L)PLT+2.9+1.40.0+2.7*0.0+2.9+5.7*
Iron (mmol/L)RBC16.70.0+0.50.0–0.50.00.0–1.1±8.8
PLT–0.5+0.5+0.3+0.5–0.3+0.3+1.1
Creatine KinaseRBC1040.0–0.20.00.0+2.4+6.4+13.5*±11.5
(U/L)PLT+0.5+0.5+0.7+1.4+0.7*0.7+1.7
MagnesiumRBC0.80–0.30.0+0.6+0.9+1.9*+4.4*+9.4*±1.8
(mmol/L)PLT0.0+0.60.00.0+0.6+0.3+0.6
Total proteinRBC71+0.10.0+0.3+0.6+0.9+1.9*+3.3*±1.4**
(g/L)PLT0.0–0.1+0.2–0.20.0+0.5+1.5*
Total cholesterolRBC4.14+0.3+0.5+0.5+1.6+2.2*+4.0*+7.9*±4.1
(mmol/L)PLT0.0+0.20.0+0.5+0.3+0.5+1.1
Inorganic phosphateRBC0.870.00.00.0+1.9+3.7*+7.4*+18.5*±3.4**
(mmol/L)PLT0.00.00.00.00.0+1.9+3.7*
GlucoseRBC4.330.0+0.30.0+0.6–0.6–0.6–0.6±2.4**
(mmol/L)PLT+0.6+1.3+1.0+1.9+1.9*+2.9*+4.9*
CalciumRBC2.330.00.0–0.2+0.2+0.10.00.0±0.8
(mmol/L)PLT+0.1+0.20.0+0.1–0.2+0.1+0.4
Blood Urea NitrogenRBC3.79–0.2+0.2+0.2+1.2+1.2+1.9*+2.8*±5.6**
(mmol/L)PLT+0.5–0.5–0.2+0.2+1.20.0+1.6

ᵝ-TG, thromboglobulin; fHb, free hemoglobin; MPO, myeloperoxidase. The biochemical tests are listed according to the degree of sensibility to hemolysis as indicated by the manufacturer. Results exceeding the bias limit are marked in bold. Cell concentrations, hemolysis markers and biochemical tests are presented as median.*: p < 0.007 (significance according to basal concentrations). ** Ricos C, Alvarez V, Cava F, Garcia-Lario JV, Hernandez A, Jimenez CV, Minchinela J, Perich C, Simon M. Desirable specification for total error, imprecision, and bias, derived from intra- and inter- individual biologic variation. The 2014 update. Available from: www.westgard.com/biodatabase1.htm Accessed October, 2016.

Table V

Comparison of clinical thresholds to previous studies and the manufacturer data based on whole blood cell lysis.

Whole blood lysisSeparated blood lysis
Biochemical TestsLippi et al. Clinical thresholdsKöseo lu et al. Clinical thresholdsManufacturer data Cut off limitsRBC lysis Clinical thresholdsPLT lysis Clinical thresholds
fHbfHbfHbfHbRBC Concᵝ-TGPLT Conc
Lactate Dehydrogenase0.1601+0.2701+0.50–0.992+0.2341+500008.790000
Potassium0.6002+0.2701+0.50–0.992+0.5262+200000
Aspartate Aminotransferase0.3001+0.2701+0.50–0.992+0.3461+1000008.790000
Iron5.1006+Ø0.50–0.992+Ø
Creatine Kinase1.3003+1.2703+1.00–1.993+4.7035+1620000
Magnesium2.6004+3.3405+1.00–1.993+1.2103+400000
Total proteinND**3.3405+2.00–2.994+2.2634+8000008.7
Total cholesterolND**3.3405+2.00–2.994+4.7035+1620000
Inorganic phosphate5.1006+1.2703+3.00–5.005+1.2103+4000008.790000
GlucoseØ0.7502+3.00–5.005+Ø10.644500
CalciumØØ>5.006+Ø
Blood Urea Nitrogen20.6006+Ø>5.006+Ø

ᵝ-TG, thromboglobulin; Conc, concentration; fHb, free hemoglobin; PLT, platelet; RBC, red blood cell. Parameters which show significantly different clinical thresholds in whole blood lysis compared to RBC lysis are marked in bold. *: Cell concentrations, fHb, ᵝ-TB and MPO were presented as cell/ᵝL, g/L, ng/mL and ng/mL, respectively. Semi quantitative evaluation: limit is not exceeded »Ø«. fHb <0.50 g/L »1+«, fHb =0.50–0.99 g/L »2+«, fHb =1.00–1.99 g/L »3+«, fHb =2.00–2.99 g/L »4+«, fHb =3.00–5.00 g/L »5+«, fHb >5.00 g/L »6+«. **: ND: Not detected

  25 in total

1.  Current databases on biological variation: pros, cons and progress.

Authors:  C Ricós; V Alvarez; F Cava; J V García-Lario; A Hernández; C V Jiménez; J Minchinela; C Perich; M Simón
Journal:  Scand J Clin Lab Invest       Date:  1999-11       Impact factor: 1.713

Review 2.  A reliable plasma marker of platelet activation: does it exist?

Authors:  David Gurney; Gregory Y H Lip; Andrew D Blann
Journal:  Am J Hematol       Date:  2002-06       Impact factor: 10.047

3.  "Hemolysis"--toward clearer terminology.

Authors:  Robert Hawkins
Journal:  Arch Pathol Lab Med       Date:  2010-08       Impact factor: 5.534

4.  Correction of factitious hyperkalemia in hemolyzed specimens.

Authors:  Heather Owens; Georgette Siparsky; Lalit Bajaj; Louis C Hampers
Journal:  Am J Emerg Med       Date:  2005-11       Impact factor: 2.469

5.  Investigating elevated potassium values.

Authors:  Daniel M Baer; Dennis J Ernst; Susan I Willeford; Raymond Gambino
Journal:  MLO Med Lab Obs       Date:  2006-11

Review 6.  Risk management in the preanalytical phase of laboratory testing.

Authors:  Giuseppe Lippi; Gian Cesare Guidi
Journal:  Clin Chem Lab Med       Date:  2007       Impact factor: 3.694

7.  Multicenter evaluation of the hemolysis index in automated clinical chemistry systems.

Authors:  Giuseppe Lippi; Gian Luca Salvagno; Norbert Blanckaert; Davide Giavarina; Sol Green; Steve Kitchen; Vladimir Palicka; Anne J Vassault; Mario Plebani
Journal:  Clin Chem Lab Med       Date:  2009       Impact factor: 3.694

8.  Correction and reporting of potassium results in haemolysed samples.

Authors:  Goce Dimeski; Alan E Clague; Peter E Hickman
Journal:  Ann Clin Biochem       Date:  2005-03       Impact factor: 2.057

9.  Detection of haemolysis and reporting of potassium results in samples from neonates.

Authors:  Jinny Jeffery; Aabha Sharma; Ruth M Ayling
Journal:  Ann Clin Biochem       Date:  2009-03-04       Impact factor: 2.057

10.  Influence of hemolysis on routine clinical chemistry testing.

Authors:  Giuseppe Lippi; Gian Luca Salvagno; Martina Montagnana; Giorgio Brocco; Gian Cesare Guidi
Journal:  Clin Chem Lab Med       Date:  2006       Impact factor: 3.694

View more
  5 in total

1.  Wicking microfluidic approach to separate blood plasma from whole blood to facilitate downstream assays.

Authors:  Gayan C Bandara; Linus J Unitan; Matthew H Kremer; Owen T Shellhammer; Shay Bracha; Vincent T Remcho
Journal:  Anal Bioanal Chem       Date:  2021-05-27       Impact factor: 4.142

2.  Thrombin generation in different commercial sodium citrate blood tubes.

Authors:  Salvagno Gian Luca; Davide Demonte; Matteo Gelati; Giovanni Poli; Emmanuel J Favaloro; Giuseppe Lippi
Journal:  J Med Biochem       Date:  2020-01-10       Impact factor: 3.402

3.  Leukocytosis interference in clinical chemistry: Shall we still interpret test results without hematological data?

Authors:  Guillaume Grzych; Estelle Roland; David Beauvais; Patrice Maboudou; Giuseppe Lippi
Journal:  J Med Biochem       Date:  2020-01-10       Impact factor: 3.402

4.  Red Blood Cell Distribution Width Predicts 1-month Complications after Percutaneous Transluminal Angioplasty.

Authors:  Gian Franco Veraldi; Luca Mezzetto; Lorenzo Scorsone; Marco Macrì; Fabio Simoncini; Giuseppe Lippi
Journal:  J Med Biochem       Date:  2019-07-30       Impact factor: 3.402

5.  Evaluation of Neutrophil-lymphocyte and Platelet-lymphocyte Ratios as Predictors of 30-day Mortality in Patients Hospitalized for an Episode of Acute Decompensated Heart Failure.

Authors:  Gianni Turcato; Fabian Sanchis-Gomar; Gianfranco Cervellin; Elisabetta Zorzi; Valentina Sivero; Gian Luca Salvagno; Andrea Tenci; Giuseppe Lippi
Journal:  J Med Biochem       Date:  2019-07-30       Impact factor: 3.402

  5 in total

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