Abstract
Objectives
There is currently trend that plasma might be alternative to serum due to some of its advantages. This study aimed to compare test results from heparinized plasma and serum.
Methods
Blood samples from total of 40 participants (20 healthy, 20 hemodialysis patients) were drawn into serum gel tubes with clot activator and lithium heparin gel tubes. Twenty-eight clinical chemistry analytes were measured in serum and plasma samples. To determine whether difference between test results is clinically significant, total error (TE) was calculated and compared total allowable error (TEa) limits.
Results
TE of below 5% was calculated for amylase, AST, calcium, total cholesterol, chloride, CK, glucose, HDL-cholesterol, iron, LDH, LDL-cholesterol, magnesium, sodium, total bilirubin, uric acid and urea. Albumin, ALT, creatinine, CRP, lipase, phosphorus, potassium, total protein, and triglyceride had TE of 5–7%. TE of 7–10% were determined for ALP, direct bilirubin, and GGT. TE values were within TEa limits for all analytes.
Conclusions
It was concluded that results of 28 analytes measured in lithium heparin gel tubes are comparable to those of serum gel tubes. It is thought that several advantages including reduced turnaround time might be provided by using plasma instead of serum for these tests.
ÖZ
Amaç
Günümüzde çeşitli avantajları nedeniyle plazmanın serum yerine kullanılabileceği yönünde bir eğilim bulunmaktadır. Bu çalışmada, serum ve heparinize plazma örneklerinden elde edilen test sonuçlarının karşılaştırılması amaçlandı.
Yöntem
Toplam 40 bireyden (20 sağlıklı, 20 hemodiyaliz hastası) hem jelli pıhtı aktivatörlü serum tüplerine hem de lityum heparin içeren jel separatörlü plazma tüplerine kan örnekleri alındı. Serum ve plazma örneklerinde, 28 klinik kimya testinin düzeyleri belirlendi. İki örnek türünden elde edilen test sonuçları arasındaki farkın klinik olarak anlamlılığını belirlemek için, toplam hata hesaplandı ve toplam izin verilen hata (TEa) sınırlarıyla karşılaştırıldı.
Bulgular
Toplam hata; amilaz, AST, kalsiyum, total kolesterol, klor, CK, glukoz, HDL-kolesterol, demir, LDH, LDL-kolesterol, magnezyum, sodyum, total bilirubin, ürik asit ve üre için %5’den küçük olarak; albumin, ALT, kreatinin, CRP, lipaz, fosfor, potasyum, total protein ve trigliserid için %5–7 arasında ve ALP, direkt bilirubin ve GGT için ise %7–10 arasında hesaplandı. Toplam hata, tüm testler için, TEa sınırları içinde belirlendi.
Sonuç
Jel separatörlü lityum heparin tüpünden elde edilen plazma örneklerinde analizi gerçekleştirilen 28 teste ait sonuçların, serum test sonuçları ile karşılaştırılabilir olduğu sonucuna varıldı. Bu testler için serum yerine plazma örnek türünün kullanımı ile sonuç verme süresinde kısalma gibi birçok yararın sağlanabileceği düşünülmektedir.
Introduction
An estimated 70% of medical decisions are based on the results from laboratory testing [1]. Rapid turnaround of laboratory tests is therefore very important to achieve early diagnosis and treatment as well as to decrease emergency room or hospital in-patient services length of stay. However, a Q-Probes study [2] carried out in 2016 demonstrated that test turnaround times have not still satisfy the expectations of physicians. In this context, laboratory professionals frequently face the issues regarding turnaround time.
Serum is most often used sample type in testing clinical chemistry analytes. To obtain serum, blood samples should be waited at least 30 min for completely clotting before centrifugation [3], which may contribute the prolongation of the turnaround time of test results. However, clotting is not required for anticoagulated blood samples, hence specimens can be processed more quickly, shortening the turnaround time. In addition to this time-saving benefit, plasma has also some other advantages to serum including prevention of interference induced by fibrin clot on automated analyzer, shorter centrifugation duration and higher sample volume yield from a given volume of whole blood. Most significantly, a World Health Organization document [4] states that the constituents in plasma are more accurately reflecting the pathological situation of a patient than those in serum. There is nowadays a trend use of the plasma in place of the serum in clinical biochemistry [5].
In patients with end stage renal disorder treated by hemodialysis, clotting may not completely occur even if specimens for serum is hold on before centrifugation as recommended time, which cause various issues from instrumental errors to erroneous test results [6]. Incomplete clotting is due to anticoagulant therapy and uremia itself [7]. It is thought that the use of plasma instead of serum may be help overcoming the challenges related to blood clotting time in hemodialysis patients as well as in the patients receiving anticoagulant therapy [6].
In terms of standardization of laboratory, the use of only a sample type (serum or plasma) for measuring an analyte is desired, but this may not always practical [8]. For instance, if an analyte could be measured in both serum and plasma, plasma samples may be preferred in patients admitted emergency department, otherwise serum. However, it is thought that differences in sample matrix of serum and plasma can limits the use of the results obtained from two sample types as interchangeably [8].
In this study, it was aimed to investigate the differences between the results obtained from lithium heparin gel tube and serum gel tube for 28 clinical chemistry tests in healthy individuals and patients treated by hemodialysis.
Materials and methods
Sample collection
A total of 40 participants were included to the study as recommended by Clinical Laboratory Standards Institutes (CLSI) [9]. Twenty of volunteers were healthy individuals without known disease and the rest were end-stage renal disease patients receiving maintenance hemodialysis. All volunteers were aged between 18 and 65 years and had no pregnancy status. The study was carried out in accordance with Declaration of Helsinki and approved by the institutional review board (Approval Number: 03.07.2018/28).
From each participant blood was drawn into following types of plastic tubes:
Serum tube with gel separator (8 mL, VACUETTE® Z Serum Sep Clot Activator, Greiner Bio-One)
Plasma tube with gel separator (5 mL, VACUETTE® LH Lithium Heparin Sep, Greiner Bio-One)
Blood was collected from the antecubital vein using a 21 G blood collection needle in healthy participants. From hemodialysis patients, the samples were taken from the arterial fistula needle tubing or dialysis catheter before beginning of dialysis. During blood sampling from dialysis catheter, a serum tube with 8 mL was firstly completely filled and discharged after collection. Specimens were drawn randomized to neglect the effect of draw order.
Analytical methods
Serum tubes were allowed to clot for 30 min at room temperature and then centrifuged at 3,000 g for 10 min using refrigerated centrifuge. Plasma tubes were centrifuged immediately at 3,000 g for 10 min. In a previous study [10], it was demonstrated that random orientation of gel tubes after centrifugation may impair sample quality. Therefore, lithium heparin gel tubes were avoided to agitate after centrifugation.
Twenty-eight routine clinical chemistry analytes were measured on Cobas 6000 c501 analyzer (Roche Diagnostic GmbH, Mannheim, Germany) according to manufacturer instructions. The analytes assayed in the study were albumin, alkaline phosphatase (ALP), alanine aminotransferase (ALT), amylase, aspartate aminotransferase (AST), bilirubin (direct, total), calcium, high-density lipoprotein cholesterol (HDL-cholesterol), low-density lipoprotein cholesterol (LDL- cholesterol), total cholesterol, chloride, creatine kinase (CK), creatinine, C-reactive protein (CRP), gamma-glutamyltransferase (GGT), glucose, iron, lactate dehydrogenase (LDH), lipase, magnesium, inorganic phosphorus, potassium, sodium, total protein, triglyceride, uric acid, and urea.
The hemolysis index (HI) was also quantitatively estimated by bichromatic wavelength paired measurement at 570 and 600 nm on the same analyzer. The samples with HI of above 50 (approximately hemoglobin concentration of 50 mg/dL) were excluded from the study.
Statistics
The statistical significance of the differences between results obtained from serum and plasma samples was assessed by the paired samples t-test or the Wilcoxon signed-rank test after determining whether data of each test was normally distributed or not. Normality was checked by the Shapiro-Wilk test. All statistical analyses were performed using MedCalc Statistical Software version 19.1(MedCalc Software bvba, Ostend, Belgium) and the Statistical Package for Social Sciences (SPSS 15.0, SPSS Inc., Chicago, IL). P values less than 0.05 were considered to be statistically significant.
To determine clinically significant difference, total error (TE) between two samples for each test was estimated, and then compared with total allowable error (TEa) limits. If the TE was higher than the TEa value, it was considered as a clinically significant difference.
The TE calculated from following equation, which was generated by a combination of imprecision and bias [11]:
Total Error=Bias% + 1.65 × CV%
Bias between the results from two samples for each test was computed as follows:
Bias%=[(Plasma Result-Serum Result)/Serum Result] × 100
Imprecision for each test was calculated from results of internal quality control (two different levels). First, the coefficient of variation (CV) for different levels of control samples was separately calculated and then CV of higher value was chosen for TE calculation.
The TEa goals were selected from the multiple sources. Republic of Turkey Ministry of Health goals [12] were the primary choice. For analytes whose TEa limits non-regulated by Ministry of Health, Clinical Laboratory Improvement Amendments (CLIA) goals [13] were consulted next. If the TEa targets are not available in Ministry of Health or CLIA, then the targets based on biological variation [14] were selected.
Passing-Bablok regression analysis and correlational analysis were also conducted to define the relationship between the results from two sample types. In Passing-Bablok regression analysis, the confidence intervals for intercept and slope were calculated by the bootstrap technique as recommended by CLSI [9]. When the 95% confidence interval for the intercept contains the value of 0, it was concluded that there is no systematic difference between the results obtained from serum and plasma. If the 95% confidence interval for the slope includes the value of 1, then it was accepted that there is no proportional difference between the results from two sample types. In correlation analysis, if both test results from serum and plasma were normally distributed, Pearson’s correlation coefficient was used; otherwise Spearman’s correlation coefficient.
Results
The HI values were below than 50 in all samples, which no hemolysis interference for any test. The mean of results obtained from serum and plasma samples, the percent bias and the TE between serum and plasma results, the statistical significance and the TEa limits are shown in Table 1 for each analyte.
Summary of statistical data for results of 28 clinical chemistry tests obtained from serum and heparinized plasma.
Test | All Participants (n=40) | Hemodialysis Patients (n=20) | CV % | All Participants (n=40) | Hemodialysis Patients (n=20) | The Total allowable error limits (%) | ||||
---|---|---|---|---|---|---|---|---|---|---|
Serum Mean ± SD | Plasma Mean ± SD | Serum Mean ± SD | Plasma Mean ± SD | Bias % | Total Error % | Bias % | Total Error % | |||
Albumin, g/L | 39.7 ± 5.6 | 39.3 ± 4.8 | 35.6 ± 4.7 | 35.8 ± 4.4 | 3.07 | −1.01 | 6.07 | 0.56 | 5.63 | 15a |
Alkaline phosphatase (ALP), U/L | 95.4 ± 58 | 94.2 ± 55.2* | 116.9 ± 74.3 | 115.5 ± 70.1 | 4.4 | −1.26 | 8.52 | −1.2 | 8.46 | 30a |
Alanine aminotransferase (ALT), U/L | 16.6 ± 11.7 | 16.3 ± 12.2 | 14.7 ± 14.3 | 14.3 ± 15.2 | 2.61 | −1.81 | 6.11 | −2.72 | 7.03 | 20a |
Amylase, U/L | 84 ± 36 | 84.1 ± 35.9 | 100 ± 39.2 | 100.3 ± 39 | 1.93 | 0.12 | 3.3 | 0.3 | 3.48 | 30b |
Aspartate aminotransferase (AST), U/L | 17.5 ± 10.0 | 17.4 ± 10.2 | 16.1 ± 13 | 16.2 ± 13.5 | 2.17 | −0.57 | 4.15 | 0.62 | 4.2 | 20a |
Bilirubin, direct, μmol/L | 2.59 ± 1.45 | 2.69 ± 1.44* | 2.53 ± 1.3 | 2.53 ± 1.25 | 2.32 | 3.86 | 7.69 | 0 | 3.83 | 44.5c |
Bilirubin, total, μmol/L | 7.08 ± 4.23 | 7.07 ± 4.15 | 5.86 ± 2.4 | 5.92 ± 2.39 | 2.6 | −0.14 | 4.43 | 1.02 | 5.31 | 20b |
Calcium, mmol/L | 2.24 ± 0.2 | 2.23 ± 0.2* | 2.11 ± 0.21 | 2.11 ± 0.21 | 1.28 | −0.45 (0.01 mmol/L) | 2.56 | 0 (0.00 mmol/L) | 2.11 | 0.25 mmol/Lb |
Cholesterol, High-density lipoprotein (HDL), mmol/L | 1.09 ± 0.34 | 1.08 ± 0.32* | 0.89 ± 0.28 | 0.89 ± 0.26 | 1.65 | −0.92 | 3.64 | 0 | 2.72 | 30a |
Cholesterol, Low-density lipoprotein (LDL), mmol/L | 2.97 ± 1.06 | 2.93 ± 1.04* | 2.5 ± 0.84 | 2.49 ± 0.83 | 1.45 | −1.35 | 3.74 | −0.4 | 1.99 | 11.9c |
Cholesterol, Total, mmol/L | 4.49 ± 1.17 | 4.45 ± 1.14* | 4.01 ± 0.95 | 3.98 ± 0.92 | 1.73 | −0.89 | 3.75 | −0.75 | 3.6 | 11a |
Chloride, mmol/L | 99.5 ± 3.7 | 99.7 ± 3.6 | 97.1 ± 3.6 | 97.3 ± 3.3 | 1.55 | 0.2 | 2.76 | 0.21 | 2.76 | 9a |
Creatine kinase (CK), U/L | 77.8 ± 53.5 | 76.5 ± 53* | 71.9 ± 69.9 | 71.7 ± 69.3 | 1.84 | −1.67 | 4.71 | −0.28 | 3.31 | 30b |
Creatinine, μmol/L | 356.9 ± 326.4 | 359.3 ± 327.5 | 646.2 ± 205.7 | 650.1 ± 204.7 | 3.33 | 0.67 | 6.17 | 0.6 | 6.1 | 20a |
C-reactive protein (CRP), mg/L | 15 ± 27.6 | 14.8 ± 27.6 | 27.3 ± 35 | 27.2 ± 35 | 2.35 | −1.33 | 5.21 | -0.37 | 4.24 | 56.6c |
Gamma-glutamyltransferase (GGT), U/L | 27.5 ± 34.8 | 28.4 ± 34.9* | 33.3 ± 47 | 33.3 ± 47.2 | 2.82 | 3.27 | 7.93 | 0 | 4.65 | 22.11c |
Glucose, mmol/L | 6.28 ± 2.03 | 6.36 ± 2.03* | 7.08 ± 2.6 | 7.11 ± 2.61 | 1.41 | 1.27 | 3.60 | 0.42 | 2.75 | 11a |
Iron, μmol/L | 12.27 ± 7.64 | 12.11 ± 7.57* | 8.23 ± 3.22 | 8.23 ± 3.2 | 1.86 | −1.3 | 4.37 | 0 | 3.07 | 20b |
Lactate dehydrogenase (LDH), U/L | 185.3 ± 34.8 | 183 ± 37.1 | 187.7 ± 37.6 | 187.7 ± 42.3 | 1.96 | −1.24 | 4.48 | 0 | 3.23 | 21a |
Lipase, U/L | 50.4 ± 29.8 | 50 ± 29.3 | 69.8 ± 30.9 | 69.1 ± 30.5 | 3.02 | −0.79 | 5.78 | −1 | 5.99 | 37.88c |
Magnesium, mmol/L | 0.91 ± 0.11 | 0.9 ± 0.12 | 0.97 ± 0.13 | 0.96 ± 0.14 | 1.63 | −1.1 | 3.79 | −1.03 | 3.72 | 25b |
Phosphorus, mmol/L | 1.33 ± 0.5 | 1.31 ± 0.51* | 1.59 ± 0.58 | 1.59 ± 0.58 | 2.8 | −1.5 | 6.12 | 0 | 4.62 | 10.11c |
Protein, total, g/L | 69.6 ± 4.96 | 71.25 ± 5.96* | 67.7 ± 5.78 | 68 ± 6.23 | 1.78 | 2.37 | 5.31 | 0.44 | 3.38 | 15a |
Potassium, mmol/L | 4.47 ± 0.49 | 4.35 ± 0.52* | 4.45 ± 0.64 | 4.53 ± 0.64 | 1.84 | −2.68 | 5.72 | 1.8 | 4.83 | 9a |
Sodium, mmol/L | 139.8 ± 2.7 | 139.9 ± 2.4 | 138.3 ± 2.6 | 138.6 ± 2.2 | 1.37 | 0.07 | 2.33 | 0.22 | 2.48 | 9a |
Triglyceride, mmol/L | 1.82 ± 0.97 | 1.81 ± 0.99 | 1.94 ± 0.9 | 1.94 ± 0.91 | 3.02 | −0.55 | 5.53 | 0 | 4.98 | 15a |
Uric acid, μmol/L | 290.8 ± 72.1 | 293 ± 72.6* | 323.7 ± 58.3 | 325.2 ± 58.5 | 1.94 | 0.76 | 3.96 | 0.46 | 3.66 | 17b |
Urea, mmol/L | 12.3 ± 9.2 | 12.3 ± 9.1 | 20.5 ± 5.5 | 20.5 ± 5.4 | 1.93 | 0 | 3.18 | 0 | 3.18 | 15a |
Hemolysis Index | 13.9 ± 13.7 | 7.2 ± 5 | 4.8 ± 2 | 4.9 ± 4.2 |
*Plasma values are statistically significant different from those of serum (p < 0.05).
SD, Standard deviation; CV, Coefficient of variation.
aThe total allowable error limits from Republic of Turkey Ministry of Health.
bThe allowable total error goals from Clinical Laboratory Improvement Amendments (CLIA).
cThe total allowable error targets based on biological variation.
In the paired statistical analysis, it was found that there was significant difference between the results obtained from serum and plasma for ALP, direct bilirubin, calcium, CK, HDL-cholesterol, LDL-cholesterol, total cholesterol, GGT, glucose, iron, phosphorus, potassium, total protein, and uric acid (p<0.05).
The TE between two sample type was <5% for amylase, AST, calcium, total cholesterol, chloride, CK, glucose, HDL-cholesterol, iron, LDH, LDL-cholesterol, magnesium, sodium, total bilirubin, uric acid and urea; <7% for albumin, ALT, creatinine, CRP, lipase, phosphorus, potassium, total protein and triglyceride; <10% for ALP, direct bilirubin and GGT. For all analytes, the TE values were found to be within the TEa limits (Table 1).
Similarly, the TE values between the results from serum and plasma from patients treated by hemodialysis were determined to be inside the TEa limits for all analytes (Table 1).
The regression equation, slope and intercept values from Passing-Bablok regression analysis are shown Table 2. The regression plots are also presented in Figure 1. For all analytes, the 95% confidence intervals for the slope were found to be included the value of 1. It was therefore concluded that there was no proportional difference between the results from two sample types. Similarly, for all analytes except CRP, it was determined that the 95% confidence intervals for the intercept have contained the value of 0. Therefore, it was concluded that there was no proportional difference between the results from serum and plasma, except CRP.
The results of Passing-Bablok regression analysis comparing the values of 28 clinical chemistry tests from serum and heparinized plasma.
Tests | Regression Equation (y: Plasma value, x: Serum value) | Intercept (95% CI) | Slope (95% CI) | Correlation Coefficient(r) |
---|---|---|---|---|
Albumin, g/L | y=5.297 + 0.867x | 5.297 (−0.400 to 9.670) | 0.867 (0.761 to 1.000) | 0.958* |
Alkaline phosphatase (ALP), U/L | y=−1.000 + 1.000x | −1.000 (−3.525 to 1.975) | 1.000 (0.960 to 1.031) | 0.996* |
Alanine aminotransferase (ALT), U/L | y=0.000 + 1.000x | 0.000 (−1.261 to 0.000) | 1.000 (1.000 to 1.091) | 0.966* |
Amylase, U/L | y=0.000 + 1.000x | 0.000 (−0.789 to 1.000) | 1.000 (0.993 to 1.015) | 0.998* |
Aspartate aminotransferase (AST), U/L | y=0.000 + 1.000x | 0.000 (−0.275 to 0.762) | 1.000 (0.947 to 1.000) | 0.983* |
Bilirubin, direct, μmol/L | y=0.085 + 1.000x | 0.085 (−5.551E-016 to 0.417) | 1.000 (0.849 to 1.033) | 0.929* |
Bilirubin, total, μmol/L | y=0.107 + 0.997x | 0.107 (−0.369 to 0.600) | 0.997 (0.928 to 1.048) | 0.979* |
Calcium, mmol/L | y=0.058 + 0.968x | 0.058 (−0.020 to 0.233) | 0.968 (0.891 to 1.000) | 0.968* |
Cholesterol, High-density lipoprotein (HDL), mmol/L | y=−0.040 + 1.048x | −0.040 (−0.069 to 0.026) | 1.048 (1.000 to 1.071) | 0.998* |
Cholesterol, Low-density lipoprotein (LDL), mmol/L | y=0.032 + 0.976x | 0.032 (−0.060 to 0.110) | 0.976 (0.953 to 1.006) | 0.996* |
Cholesterol, Total, mmol/L | y=−0.001 + 0.994x | −0.001 (−0.135 to 0.134) | 0.994 (0.961 to 1.023) | 0.997* |
Chloride, mmol/L | y=4.347 + 0.957x | 4.347 (−4.587 to 10.509) | 0.957 (0.895 to 1.049) | 0.978* |
Creatine kinase (CK), U/L | y=0.421 + 0.979x | 0.421 (−1.517 to 2.583) | 0.979 (0.943 to 1.000) | 0.993* |
Creatinine, μmol/L | y=0.336 + 1.005x | 0.336 (−0.963 to 2.650) | 1.005 (0.994 to 1.013) | 0.998* |
C-reactive protein (CRP), mg/L | y=−0.200 + 1.000x | −0.200 (−0.255 to −0.059) | 1.000 (0.974 to 1.023) | 0.996* |
Gamma-glutamyltransferase (GGT), U/L | y=0.500 + 1.000x | 0.500 (0.000 to 1.069) | 1 (0.983 to 1.000) | 0.963* |
Glucose, mmol/L | y=0.042 + 1.016x | 0.042 (−0.361 to 0.292) | 1.016 (0.969 to 1.082) | 0.978* |
Iron, μmol/L | y=0.050 + 0.983x | 0.050 (−0.180 to 0.243) | 0.983 (0.967 to 1.000) | 0.997* |
Lactate dehydrogenase (LDH), U/L | y=−16.268 + 1.076x | −16.268 (−40.331 to 16.005) | 1.076 (0.879 to 1.200) | 0.866* |
Lipase, U/L | y=0.000 + 1.000x | 0.000 (0.000 to 0.758) | 1.000 (0.979 to 1.000) | 0.997* |
Magnesium, mmol/L | y=−0.010 + 1.000x | −0.010 (−0.048 to 0.067) | 1.000 (0.921 to 1.043) | 0.954* |
Phosphorus, mmol/L | y=−0.054 + 1.015x | −0.054 (−0.116 to 0.005) | 1.015 (0.963 to 1.066) | 0.987* |
Protein, total, g/L | y=−16.964 + 1.279x | −16.964 (−51.000 to 3.000) | 1.279 (1.000 to 1.750) | 0.772* |
Potassium, mmol/L | y=−0.569 + 1.086x | −0.569 (−1.648 to 0.057) | 1.086 (0.958 to 1.333) | 0.809* |
Sodium, mmol/L | y=0.000 + 1.000x | 0.000 (0.000 to 31.111) | 1.000 (0.778 to 1.000) | 0.905* |
Triglyceride, mmol/L | y=−0.015 + 1.000x | −0.015 (−0.085 to 0.014) | 1.000 (0.976 to 1.047) | 0.997* |
Uric acid, μmol/L | y=0.000 + 1.000x | 0.000 (−2.771E-013 to 5.950) | 1.000 (1.000 to 1.000) | 0.997* |
Urea, mmol/L | y=0.000 + 1.000x | 0.000 (−0.060 to 0.062) | 1.000 (0.987 to 1.007) | 0.996* |
*Plasma values are significantly correlates with those of serum (p < 0.01).
CI, Confidence interval.





Passing-Bablok regression plots comparing test results obtained from serum and heparinized plasma. The straight line indicates the regression line, dashed lines around the solid line shows the confidence interval for the regression line.
Table 2 includes also correlation coefficients between the results obtained from serum and plasma. For all analytes, it was found that there was significant correlation between the two sample types.
Discussion
Nowadays, there is a trend that plasma might be alternative to serum due to some of its advantages. However, before introduced the use of plasma, it is suggested that plasma tube should be evaluated since tubes from different manufacturer might provide different laboratory results for clinical chemistry [15]. In this context, this is the first study providing data regarding the relation between heparinized plasma and serum samples by using the lithium heparin tubes with gel separator from Greiner Bio-one. In the present study, for 14 of 28 clinical chemistry tests analyzed, statistically significant differences between serum and heparinized plasma were observed, but not clinically significance.
Similar findings have been reported in some earlier studies, which investigated the agreement between the results from serum and heparinized plasma. In a study [16] compared the results obtained from serum and heparinized plasma for 16 analytes, Er et al. have found statistically significant but medically not differences between two samples type for potassium, CK and LDH. Clinically significant differences have been scarcely determined for only albumin and blood urea nitrogen, but have been ignored.
In another study [17], O’Keane and Cunningham have compared renal and lipid analyte profiles in plain serum tube, serum tube with gel and lithium heparin plasma tubes without gel. In their study, it has been determined that statistically significant difference between the results from the tube types was exist for most of the analytes, but clinical significance for only potassium. They have compared the values in plain serum tube and plasma tubes to identify clinical significance. However, in their study, when compared the results from plasma tube with those of serum tube with gel separator, it can be detected that there was no clinical significant difference for all tests measured.
In addition, in a study [18] which set out to determine reliability of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) method for LDH measurement in heparin plasma samples, Herzum et al. have noticed that LDH measurements is suitable in heparin plasma samples obtained from Sarstedt Monovette tubes. On the contrary, Bakker et al. [19] have reported that IFCC method for LDH measurements does not provide reliable results in heparin plasma samples due to significantly differences in duplicate measurements. However, in later a report [20], Bakker have declared that the duplicate errors arise from heparin plasma tube used in their study.
On others hand, in contrary to the findings from the current study, there are reports that have declared some differences between the results from serum and lithium heparin plasma for certain clinical chemistry analytes.
In a recent study [5], Arslan et al. have compared the values obtained from lithium heparin tube with mechanic separator and glass tube without additive for 22 analytes. They have found clinically significant difference between serum and plasma samples for AST, sodium, potassium, LDH, glucose and total protein.
In another study carried out by Wei et al. [21], the values of plasma samples in vacuum tubes with gel separator were compared with those of serum for 31 biochemical tests. For AST, ALP, LDH, potassium, phosphorus, glucose, and total protein, it has been suggested that plasma reference ranges should be established.
In a third study [22], Miles et al. have compared the results from serum and lithium heparinized plasma samples for 45 clinical chemistry analytes that measured on different two analyzers (Roche Modular P and Vitros 950). Clinically significant differences between serum and plasma samples have been identified on both analyzers for potassium and LDH. Moreover, in their study, clinically significant variations have been seen for aldolase, bile acids and angiotensin-converting enzyme measured on Roche analyzer, as well as total bilirubin analyzed on Vitros 950 analyzer.
These different findings from different studies can be explained in part by the variation in procedures used for the data analysis. The comparisons of results have only been statistically done in a study [21]. However, in a guideline [9] published by CLSI, to determine the relationship between measurements from different sample types by using patient samples, it has been recommended that laboratory professionals should be estimate bias and then compare it with the limits of acceptable bias. In this context, Arslan et al. have estimated bias values and compared with the allowable bias limits based on biological variation to identify clinically significant in their study [5]. However, for some tests, the limits of acceptable bias are very tight and impossible to achieve. For instance, the allowable bias limit based on biological variation for sodium and potassium is 0.23 and 1.81%, respectively [14]. Therefore, in the current study, TE was determined instead of bias and compared with TEa limits. The conclusion of a study might be differ related to the using of bias or TE in determination of clinically significant difference.
The TEa limits could be obtained from multiple sources including biological variation, external quality control program and local legal regulations [23]. The TEa limits from different references might be different each other. For some tests, the difference between TEa limits from multiple sources might be great enough to alter the conclusion of a study. For instance, for potassium, by using the TEa limits of 9% that defined by Republic of Turkey Ministry of Health [12], no clinically significant the difference between the results from serum and plasma was found in the present study. On other hand, if the TEa limits of 5.61% based on biological variation [14] had been selected, a different finding would have been obtained. Similarly, the TEa limits for total protein are suggested 15 and 3.63% by Republic of Turkey Ministry of Health and Ricos et al. [14] (based on biological variation), respectively.
Moreover, in combination with the variation in data analysis, the difference in the properties of analyzer used including cleaning of reaction cells sample and reagent volumes, or timing could also contribute to different findings from the studies.
In case the use of serum for clinical chemistry tests in hemodialysis patients, even if the recommends related to pre-centrifugation are followed, several issues regarding the prolonged clotting might be frequently encountered. In the present study, therefore, it was also evaluated the relationship between results from plasma and serum in hemodialysis patients and found that there was no clinically significant difference between the results from serum and plasma samples.
There are limited studies on comparing the results obtained from two sample types in patients treated by hemodialysis. In a commentary paper [6], Carey et al. have summarized their renal community experience regarding the acceptability of heparin plasma samples for 24 analytes in patients on hemodialysis. Authors have suggested that heparin plasma samples collected in tubes containing separator gels can be replaced serum samples for most chemistry tests without clinically significant effect, except parathormon, AST and glucose. In their study, the specimens have been measured after overnight transportation, which might lead to additional variation between results from serum and plasma, especially for glucose.
In another study [24], Meng and Krahn have shown that lithium heparin plasma can cause falsely low albumin values in hemodialysis patients when used a bromcresol green (BCG) method. Authors have proposed that the heparin contained in the collection tubes inhibits the bindings of BCG to albumin and thus lead to less colorimetric complex formation. On the contrary, it was found that there was no statistically and clinically significant difference for albumin values by BCG method in the current study. Although albumin reagent used in both studies have been produced by same manufacturer, the analytical platform used and calibrators used as well as the brand of tubes used were different between two studies. The combination of these variations might be reason of different findings.
This study has some limitations. First, serum and plasma samples were obtained from the tubes produced by one manufacturer. Also, testing was performed on only one analytical platform. It is therefore not known if the findings from the combination of the brand of tube used and the analyzer used in the present study is valid in other the corresponding combinations. Another limitation is that the effect of different centrifugation speed and duration, as well as of different blood collection technics, on the difference between the results from serum and plasma was not evaluated. Lastly, though intended to provide a wide concentration range for the analytes measured by including the specimens from hemodialysis patients to the study, this was not achieved for all of tests.
In conclusion, for 28 clinical chemistry test measured in the present study, the results from plasma samples from lithium heparin tubes with gel separator was found to be comparable to those of serum gel tubes, at least when performed the tubes and analyzer used in the study. It is thought that the use of heparinized plasma could reduce the time between blood collection and analysis, as well as eliminate the issues related clotting.
Acknowledgment
Author thank to Kader Köse, Kemal Öz and Şencan Demirel for excellent technical assistance, as well as Dr. Erhan Koptur, Neval Taka, Ezgi Kaymaz and Esma Kurtuluş for helping the blood collection from hemodialysis patients.
Research funding: None declared.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: Author state no conflict of interest.
Informed consent: Informed consent was obtained from all individuals included in this study.
Ethical Approval: The research related to human use has been complied with all the relevant national regulations, institutional policies and in accordance the tenets of the Helsinki Declaration, and has been approved by institutional review board (Approval Number: 03.07.2018/28).
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Articles in the same Issue
- Frontmatter
- Review Article
- Newly developed diagnostic methods for SARS-CoV-2 detection
- Short Communication
- Effect of hemolysis on prealbumin assay
- Research Articles
- BioVar: an online biological variation analysis tool
- High dose ascorbic acid treatment in COVID-19 patients raised some problems in clinical chemistry testing
- Immunoassay biomarkers of first and second trimesters: a comparison between pregnant Syrian refugees and Turkish women
- Association of maternal serum trace elements with newborn screening-thyroid stimulating hormone
- PIK3CA and TP53 MUTATIONS and SALL4, PTEN and PIK3R1 GENE EXPRESSION LEVELS in BREAST CANCER
- Evaluation of E2F3 and survivin expression in peripheral blood as potential diagnostic markers of prostate cancer
- Age, gender and season dependent 25(OH)D levels in children and adults living in Istanbul
- Original Article
- Fractional excretion of magnesium as an early indicator of renal tubular damage in normotensive diabetic nephropathy
- Research Articles
- Diagnostic value of laboratory results in children with acute appendicitis
- Evaluation of thiol disulphide levels in patients with pulmonary embolism
- Relationship between renal tubulointerstitial fibrosis and serum prolidase enzyme activity
- Comparison of test results obtained from lithium heparin gel tubes and serum gel tubes
- MHC Class I related chain A (MICA), Human Leukocyte Antigen (HLA)-DRB1, HLA-DQB1 genotypes in Turkish patients with ulcerative colitis
- An overview of procalcitonin in Crimean-Congo hemorrhagic fever: clinical diagnosis, follow-up, prognosis and survival rates
- Comparison of different equations for estimation of low-density lipoprotein (LDL) – cholesterol
- Case-Report
- A rare case of fructose-1,6-bisphosphatase deficiency: a delayed diagnosis story
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- Atypical cells in sysmex UN automated urine particle analyzer: a case report and pitfalls for future studies
- Investigation of the relationship cellular and physiological degeneration in the mandible with AQP1 and AQP3 membrane proteins
- In vitro assessment of food-derived-glucose bioaccessibility and bioavailability in bicameral cell culture system
- Letter to the Editor
- The weighting factor of exponentially weighted moving average chart
Articles in the same Issue
- Frontmatter
- Review Article
- Newly developed diagnostic methods for SARS-CoV-2 detection
- Short Communication
- Effect of hemolysis on prealbumin assay
- Research Articles
- BioVar: an online biological variation analysis tool
- High dose ascorbic acid treatment in COVID-19 patients raised some problems in clinical chemistry testing
- Immunoassay biomarkers of first and second trimesters: a comparison between pregnant Syrian refugees and Turkish women
- Association of maternal serum trace elements with newborn screening-thyroid stimulating hormone
- PIK3CA and TP53 MUTATIONS and SALL4, PTEN and PIK3R1 GENE EXPRESSION LEVELS in BREAST CANCER
- Evaluation of E2F3 and survivin expression in peripheral blood as potential diagnostic markers of prostate cancer
- Age, gender and season dependent 25(OH)D levels in children and adults living in Istanbul
- Original Article
- Fractional excretion of magnesium as an early indicator of renal tubular damage in normotensive diabetic nephropathy
- Research Articles
- Diagnostic value of laboratory results in children with acute appendicitis
- Evaluation of thiol disulphide levels in patients with pulmonary embolism
- Relationship between renal tubulointerstitial fibrosis and serum prolidase enzyme activity
- Comparison of test results obtained from lithium heparin gel tubes and serum gel tubes
- MHC Class I related chain A (MICA), Human Leukocyte Antigen (HLA)-DRB1, HLA-DQB1 genotypes in Turkish patients with ulcerative colitis
- An overview of procalcitonin in Crimean-Congo hemorrhagic fever: clinical diagnosis, follow-up, prognosis and survival rates
- Comparison of different equations for estimation of low-density lipoprotein (LDL) – cholesterol
- Case-Report
- A rare case of fructose-1,6-bisphosphatase deficiency: a delayed diagnosis story
- Research Articles
- Atypical cells in sysmex UN automated urine particle analyzer: a case report and pitfalls for future studies
- Investigation of the relationship cellular and physiological degeneration in the mandible with AQP1 and AQP3 membrane proteins
- In vitro assessment of food-derived-glucose bioaccessibility and bioavailability in bicameral cell culture system
- Letter to the Editor
- The weighting factor of exponentially weighted moving average chart