- Open Access
Comparison of capillary based microflurometric assay for CD4+ T cell count estimation with dual platform Flow cytometry
© Thakar et al; licensee BioMed Central Ltd. 2006
Received: 26 June 2006
Accepted: 16 October 2006
Published: 16 October 2006
The CD4+ T cell count estimation is an important monitoring tool for HIV disease progression and efficacy of anti-retroviral treatment (ART). Due to availability of ART at low cost in developing countries, quest for reliable cost effective alternative methods for CD4+ T cell count estimation has gained importance. A simple capillary-based microflurometric assay (EasyCD4 System, Guava Technology) was compared with the conventional flow cytometric assay for estimation of CD4+ T cell counts in 79 HIV infected individuals. CD4+ T cell count estimation by both the assays showed strong correlation (r = 0.938, p < 0.001, 95% CI 0.90 to 0.96). The Bland Altman plot analysis showed that the limits of variation were within agreeable limits of ± 2SD (-161 to 129 cells/mm3). The Easy CD4 assay showed 100% sensitivity for estimating the CD4+ T cell counts < 200 cells/mm3 and < 350 cells/mm3 and 97% sensitivity to estimate CD4+ T cell count < 500 cells/mm3. The specificity ranged from 82 to 100%. The Kappa factor ranged from 0.735 for the CD4+ T cell counts < 350 cells/mm3 to 0.771 for < 500 cells/mm3 CD4+ T cell counts. The system works with a simple protocol, is easy to maintain and has low running cost. The system is compact and generates minimum amount of waste. Hence the EasyCD4 System could be applied for estimation of CD4+ T cell counts in resource poor settings.
Three by five initiative by World Health Organization (WHO) has accelerated efforts to provide anti-retroviral treatment (ART) to all those who need it even in the developing world . The ART programme initiated at this scale would require extensive back up for counseling, laboratory investigations to support initiation and monitoring of ART and clinical management of adverse reactions. Important decisions such as when to start anti-retroviral therapy or prophylaxis for opportunistic infections are dependent on the CD4+ T cell count estimation. In the absence of facilities for viral load assays, CD4+ T cell count estimations is being used for monitoring of anti-retroviral therapy . Hence, providing reliable CD4+ T cell counts has become imperative for success of the HIV care and treatment programme.
Flow cytometry has been used as a method of choice for CD4+ T cell measurements since the beginning of HIV epidemic [3, 4]. Although flow cytometric estimations give robust and reliable estimations, its high initial and running costs and need for skilled manpower have placed limitations on wider use of flow cytometry in the resource poor settings.
Hence, alternative methods for CD4+ T cell count estimation with lower costs and simplicity in techniques are being explored worldwide [5, 6]. The EasyCD4 System is manufactured and marketed by Guava technologies Inc., USA. The system consists of a cell analysis instrument called PCA, a lap top computer with the Guava EasyCD4 software and reagents. The system works on principles of flow cytometry with some modifications. It uses micro capillary as a flow cell unlike the conventional flow cytometry. The whole blood sample is stained with anti-CD3+ (T cell surface marker; present on all T cells) antibodies tagged with phycoerythrin (PE)-Cy5 and anti-CD4+ antibodies tagged with PE. The system uses two-fluorescence parameters (CD3-PE Cy5 and CD4-PE) in combination with forward scatter (FSC) as a measure of relative cell size to analyze the cell population of interest. The CD4+ T cell number is then estimated as the cells simultaneously expressing CD3 and CD4 markers.
We compared the CD4+ T cell estimations in HIV infected individuals using EasyCD4 System with the conventional flow cytometry.
Thirty-one of the 79 study subjects were females and 48 were males with mean age of 29 and 36 years respectively.
kappa factor and sensitivity and specificity for absolute CD4+ counts determined by EasyCD4 assay.
CD4+ T cell count (cells/mm3)
CD4 < 500
CD4 < 350
CD4 < 200
Operational comparison of the two methodologies
Conventional flow cytometry (FACSort)
Ease of performance
Volume of blood required/test
b. Sheath fluid
c. RBC Lysing solution
Generation of waste/test
Time required to process one sample
Routine maintenance: Cleaning procedure
Daily (5 minutes) Monthly (-----)
Daily (20 minutes) Monthly (90 minutes)
A limited number of samples (N = 10) were additionally processed by FACSCount (Cat. No.: D0480 Becton Dickinson, USA), a single platform system. The mean CD4 counts obtained by FACSCount and Guava EasyCD4 system were 218 and 221 cells/mm3 respectively. The values obtained by both the methods showed strong correlation (r: 0.98, p < 0.001).
The intra-sample variation in the EasyCD4 assay was assessed in four samples for the CD4 counts obtained on the same day and after 24 hours. The mean % coefficient of variation (CV) was found to be 6.75% in the range of 1 to 18% while the mean % CV of duplicate testing was found to be 5.17 % (range: 1 to 13%).
Flow cytometry has been accepted as a gold standard for estimating CD4+ T cell count. However, it has high initial as well as running cost and requires frequent maintenance. The frequent power failures, unavailability of temperature controlled laboratories make the maintenance of flow cytometer difficult. Hence the use of flow cytometry is constrained in resource-poor settings. A number of alternative assays have been developed and some are commercially available, i.e., Dynal CD4 assay using magnetic beads and Coulter Cytoshpere assay. These two microscope-based assays were found to be highly comparable with the Flow cytometry [7–9]. However, these alternative assays are fairly labor intensive and, thus less appropriate for testing of a large number of samples. Rodriguez et al developed a microchip-based method for estimation of CD4 percentages at low cost . In addition, modified flow cytometry assays such as a combination of dual platform system and pan-leucogating has shown that reliable estimation of CD4+ T cell count is possible at a reduced cost . Combination of automatic gating with volumetric flow cytometry has been shown to be efficient and gives accurate CD4+ T cell count estimation . The single platform bead based assays available till date were found to be robust, reliable however, expensive.
The EasyCD4 System from Guava Technologies evaluated in the present study is a modified flow cytometer that uses simple volumetric micro capillary-based technology instead of conventional flow cell using sheath fluid for carrying the cells. In conventional flow cytometry, the sheath fluid carries the cells through the LASER path to maintain a single cell suspension so that only one-cell passes through laser beam at one time. In Guava PCA the cells pass through a micro capillary eliminating need of sheath fluid for maintaining single cell suspension. Due to this modification, the volume of accumulated waste is 20 times less than the conventional flow cytometry. Additionally, the conventional flow cytometry in the present study uses the dual side scatter gating depending upon cell morphology (size (FSC) and granularity (SSC)), where as the guava Easy CD4 System uses T cell gating strategy to gate CD3+ cells and estimates CD3+CD4+ cells. The gating on CD3+ T cells removes the monocytes (expressing CD4 but not CD3 on their cell surface) from the gate. The Easy CD4 System is a single platform volumetric system that calculates absolute CD4+ T cell counts on the basis of volume of sample acquired. This eliminates the variability introduced by using Absolute Lymphocyte Count (ALC) from the other analyzer as in dual platform system used in conventional flow cytometry.
The CD4+ T cell counts estimated by EasyCD4 System showed high correlation with the CD4+ T cell counts obtained by conventional flow Cytometry and showed high sensitivity and specificity to identify patients with CD4 + T cell count < 500 cells/mm3, < 350 cells/mm3 and < 200 cells/mm3. The degree of agreement is high as showed by kappa factor. The Bland-Altman analysis, which is a more reliable method to assess variation, also showed that the variation was within agreeable limits. Hence the method is reliable for making decisions on starting ART or prophylaxis for opportunistic infections. The assay has shown very good agreement with single platform technology like FACSCount or multiTest assay using flowcytometer (13–16) and in the present study although on limited sample size.
The intra-sample %CV in Easy CD4 assay as 6.75% (1 to 18 %), which was comparable with the values (5 to 13%) reported in previous studies (15,16) and less than the %CV reported for "double-platform" systems ranging form 14.5 to 43.4% (mean, 23.4%) (17). Hence, the Easy CD4 assay could be better than the double platform system.
The assay showed satisfactory performance when five stabilized blood samples were assessed for CD4+ T cell counts.
As compared to the conventional flow cytometry the EasyCD4 System was found to be simple to operate, easy to maintain and the equipment requires less space. Since it requires only 10 μl of sample it is possible to explore its application using finger prick blood samples. Hence, it can be adopted for CD4+ T cell count estimation in HIV infected individuals. The running cost of the CD4+ T cell estimation by EasyCD4 System is 5 times lower than the conventional flowcytometry at the current costing. However, the pricing of the reagents and instruments might be subjected to change due to higher demand and wider choice of technologies available to the customer.
EasyCD4 assay, although operationally simple, the users need training in gating of the CD3+ T lymphocytes. The use of minimum quantity of antibodies (1 μl of antibody cocktail) requires precision in technique of reverse pipetting used in case of minute quantities of reagents using the air displacement pipettes as described (18). Also, the EasyCD4 System does not prescribe validity criteria for assessing the formation of the gate. This was found to be extremely critical for reliable gating for accurate estimation of CD4+ T cell counts, to minimize the variations in CD3+ T cell counts and to overcome the acquisition of debris causing high event rate. The laboratory using the equipment needs to set up such criteria locally such as use of commercially available controls or use of healthy individuals sample for gating the CD3+ T cells. This essentially highlights the need of development of laboratory based quality control check on the equipment.
In conclusion, the availability of EasyCD4 System enhances the options for reliable and valid CD4+ T cell count estimation technology for HIV infected individuals. The validation of the system on finger prick samples could be taken up to assess the simplicity of sample collection and cost reduction.
Study subjects and CD4+ T cell count estimation
79 HIV infected individuals attending the referral clinic of National AIDS Research Institute (NARI), Pune were enrolled in the study after obtaining written informed consent from 5 February to 21 April 2004. The blood sample was collected in a vacutainer containing K3 EDTA to avoid clotting of blood.
The CD4 + T cell counts were estimated by dual platform Flow cytometry (FACSORT, BD 206, Becton Dickinson, USA) as a part of routine investigations using IMK Plus kit (Cat # 349217, BD, USA). The kit included a panel of monoclonal antibodies of CD45-Fluorescein Isothiocynate (FITC)/CD14-Phycoerythrin (PE), CD3-FITC/CD19-PE, CD4-FITC/CD8-PE, CD3-FITC/CD3 HLA-DR-PE and CD3-FITC/CD16+56-PE and SimulSET software. Hundred μl of noncoagulated blood was stained with 20 μl of each of the antibody pair. After 30 minutes incubation the red blood cells were lysed using freshly diluted (1:10) FACS lysing solution (Cat. No.: 349202, Becton Dickinson, USA). The samples were then acquired in the instrument and the lymphocytes were gated on the basis of size (Forward scatter: FSC) and relative granularity (Side scatter: SSC) for further analysis. Two-colour analysis for each antibody subset was performed to obtain percentages of each lymphocyte subset. The run was considered valid only if more than 95% lymphocytes were in the gate.
The absolute CD4+ T cell counts were computed by feeding the ALC in the SimulSET software and were expressed as cells/mm3. These ALCs were obtained on the hematology analyzer (Sysmex, Kx21).
CD4+ T cell count estimation by EasyCD4 System
An aliquot of the same blood samples were coded to blind the technician and processed by Guava Easy CD4 assay (Guava Technologies, USA) on the same day of sample collection. The coding was carried out only when at least three samples were available on a given day to ensure blinding of the laboratory technician.
Absolute CD4+ T cell count/mm3 = (tCD4 × df)/v cells.
During the preliminary experiments, it was observed that in few cases there was variation in the CD3+ T cell counts obtained in both, sample tubes estimating CD4+ and CD8+ T cell counts and also there was variations in the event rate (no of cells acquired per second). The high event rate was found to occur in case of the samples having a high proportion of non-lymphocyte population in the sample. So the run was considered valid if the variation between the CD3+ T cell counts in both sample tubes (used to estimate CD4 and CD8 T cell counts) was less than 10%, the event rate of acquisition of the sample was less than 700/μl and the CD3+ cells acquired in the gate ranged from 1000 to 2000 cells/μl.
At the end of the study, the CD4+ T cell counts obtained by the EasyCD4 System were decoded and compared with the CD4+ T cell counts obtained by the flowcytometry. The correlation between the two methods was assessed using Pearson's correlation test and the degree of agreement was estimated by calculating the kappa factor. The Bland-Altman plots were generated for assessment of the variation between the two methods. The sensitivity and specificity of the Easy CD4 assay was estimated for different ranges of CD4+ T cell counts. Data analysis was carried out using SPSS statistical package (version 12.0) to calculate degree of agreement, and to calculate correlation coefficient. The percent coefficient of variation (%CV) was calculated to assess intra-sample variation by using Microsoft Excel software.
We thank the clinic staff of the National AIDS Research Institute for providing blood samples and the Guava Technologies, USA for providing the reagents and equipment
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