Analytical performance of an automated volumetric flow cytometer for quantitation of T, B and natural killer lymphocytes.

BACKGROUND: Quantitation of lymphocyte subsets (B cells, T cells, CD4 and CD8 T cells and NK cells) classically relies on quantitation of lymphocytes and immunophenotyping by flow cytometry. AQUIOS CL (Beckman Coulter) is a fully automated system that performs an onboard volumetric cell count, automatically processes the sample (staining, lysing and fixation) and analyzes the results. We compared AQUIOS CL to a dual-platform analysis and evaluated analytical performance. METHODS: We evaluated precision, sample stability, inter-sample carryover, linearity and interpanel consistency. AQUIOS CL was compared to a dual-platform method (Sysmex XE-5000 and BD FACSCanto-II). A total of 113 patient samples were included: 45 from posttransplant patients, 44 from children and 24 random routine samples. The degree of automation was scored through the need of manual revisions triggered by AQUIOS CL run notifications and run flags. RESULTS: Intrarun and interrun variability was <9.1% with dedicated control material and <32.1% with patient samples. Relative values of lymphocyte subsets could be determined up to 48 h after venipuncture when the sample was kept at room temperature. There was no carryover and good linearity. Interpanel consistency was 3.3% for relative values and 9.4% for absolute values. Method comparison showed good analytical correlation between AQUIOS CL and a dual-platform method. Thirty-five percent of the samples triggered a run notification. In 74% of these samples, the results could be accepted without intervention, so in 26% of all samples, an unnecessary notification was generated. CONCLUSIONS: AQUIOS CL allows for reliable fully automated immunophenotyping of lymphocyte subset quantitation. Gating algorithms could be further improved.

Evaluation of four hemoglobin separation analyzers for hemoglobinopathy diagnosis.

BACKGROUND: Four automated hemoglobin separation devices are compared in their ability to detect hemoglobinopathies, both in HbA1c and in hemoglobinopathy mode. METHODS: Quality control material and 58 samples, including one heterozygous α-thalassemia sample, six heterozygote ß-thalassemia samples and 32 samples with a known hemoglobin variant, were used to assess imprecision of HbF and HbA2 measurements, correlation with the gold standard and sensitivity for detecting ß-thalassemia and Hb variants on D-100 (Bio-Rad Laboratories), HA 8180T (Menarini), HLC-723G8 (Tosoh Bioscience) and Capillarys 2 Flex Piercing (Sebia). RESULTS: Imprecision was <10% for both HbF and HbA2 in all modes of all analyzers. Correlation studies for HbF and HbA2 demonstrated statistically significant but small biases when compared to the gold standard. All six ß-thalassemia samples but one were detected on all analyzers using a HbA2 cut-off value of 3.5%. D-100, HA8180T and the Hb-pathy mode of the HLC-723G8 and the Capillarys are able to detect the most common important Hb variants (Hb C, D, E and S), but more seldom variants can be missed as they co-elute with HbA0. The HbA1c mode of the Capillarys correctly detected all measured hemoglobin variants and can therefore be used as a hemoglobinopathy screening device. This was also the case for the most common important Hb variants on the HbA1c mode of the HLC-723G8, but two rare variants were not detected. CONCLUSION: This study stresses the importance for individual laboratories to know the advantages and drawbacks of their hemoglobin separation analyzer and its different modes in the diagnosis of hemoglobinopathies.