Dextramer® CMV Kit is a semi-quantitative assay intended for the identification and enumeration of cytomegalovirus (CMV)-specific CD8+ T cells in anticoagulated (Na Heparin) whole blood specimens by flow cytometry. Dextramer® CMV Kit is indicated for assessment of CMV-specific immune status and risk of CMV reactivation in adult human stem cell transplant patients following immunosuppression and used in conjunction with other laboratory and clinical findings. The kit cannot be used to measure CMV infection or disease. The kit is limited to individuals with the following HLA types: A*0101, A*0201, B*0702, B*0801, B*3501. Special instrument requirements: FACSCanto II flow cytometer (Becton Dickinson).
Device Story
Kit identifies and enumerates CMV-specific CD8+ T cells in Na-Heparin whole blood; utilizes flow cytometry. Process involves two-step procedure: Tube A (CMV Dextramer + anti-CD3/anti-CD8 antibodies) determines percentage of CMV-specific CD3+CD8+ T cells; Tube C (TruCOUNT tube + anti-CD3/anti-CD4/anti-CD8 antibodies) determines absolute CD3+CD8+ T cell count. Mathematical calculation yields absolute number of CMV-specific CD3+CD8+ T cells/μL. Used in clinical laboratories by trained personnel. Output assists clinicians in assessing immune recovery and CMV reactivation risk in stem cell transplant recipients. Benefits include objective quantification of T-cell immunity to guide clinical monitoring.
Clinical Evidence
Prospective study of 120 allogenic stem cell transplant patients. Evaluated CMV-specific CD8+ T cell counts at days 30, 100, and 365. Day 100 counts showed significant association with CMV antigenemia risk. Patients with <7 cells/μL at Day 100 had a relative risk of 3.4 (95% CI: 1.57–7.46) for developing CMV infection post-Day 100 compared to those with ≥7 cells/μL. Method comparison against predicate (n=188) showed 86.8% positive percent agreement and 94.7% negative percent agreement.
Indicated for assessment of CMV-specific immune status and risk of CMV reactivation in adult human stem cell transplant patients following immunosuppression. Limited to individuals with HLA types A*0101, A*0201, B*0702, B*0801, B*3501. Not for measuring CMV infection or disease.
Regulatory Classification
Identification
An automated differential cell counter is a device used to identify one or more of the formed elements of the blood. The device may also have the capability to flag, count, or classify immature or abnormal hematopoietic cells of the blood, bone marrow, or other body fluids. These devices may combine an electronic particle counting method, optical method, or a flow cytometric method utilizing monoclonal CD (cluster designation) markers. The device includes accessory CD markers.
Special Controls
*Classification.* Class II (special controls). The special control for this device is the FDA document entitled “Class II Special Controls Guidance Document: Premarket Notifications for Automated Differential Cell Counters for Immature or Abnormal Blood Cells; Final Guidance for Industry and FDA.”
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K153538
B. Purpose for Submission:
New Device
C. Measurand:
CMV-Specific MHC Dextramer
D. Type of Test:
Semi-Quantitative Flow Cytometric Assay
E. Applicant:
Immudex ApS
F. Proprietary and Established Names:
Dextramer® CMV Kit
G. Regulatory Information:
1. Regulation section:
21 CFR § 864.5220, Automated differential cell counter
2. Classification:
Class II
3. Product code:
GKZ, Counter, differential cell
4. Panel:
Hematology (81)
Immunology (82)
{1}
H. Intended Use:
1. Intended use:
Dextramer® CMV Kit is a semi-quantitative assay intended for the identification and enumeration of cytomegalovirus (CMV)-specific CD8+ T cells in anticoagulated (Na Heparin) whole blood specimens by flow cytometry.
Dextramer® CMV Kit is indicated for assessment of CMV-specific immune status and risk of CMV reactivation in adult human stem cell transplant patients following immunosuppression and used in conjunction with other laboratory and clinical findings.
The kit cannot be used to measure CMV infection or disease.
The kit is limited to individuals with the following HLA types: A*0101, A*0201, B*0702, B*0801, B*3501.
2. Indication for use:
Same as Intended Use
3. Special conditions for use statement:
For prescription Use only
4. Special instrument requirements:
Becton Dickinson FACSCanto II flow cytometer using Diva software
I. Device Description:
The Dextramer® CMV Kit comprises nine different CMV Dextramers representing seven different alleles as well as three antibodies recognizing CD3, CD4, and CD8:
Dextramer reagents:
- HLA-A*0101 PE-labeled dextran, Class I, peptide sequence VTEHDTLLY, 25 tests/0.25 ml
- HLA-A*0201 PE-labeled dextran, Class I, peptide sequence NLVPMVATV, 50 tests/0.50 ml
- HLA-B*0702 PE-labeled dextran, Class I, peptide sequence TPRVTGGGAM, 25 tests/0.25 ml
- HLA-B*0801 PE-labeled dextran, Class I, peptide sequence ELRRKMMYM, 25 tests/0.25 ml
- HLA-B*3501 PE-labeled dextran, Class I, peptide sequence IPSINVHHY, 25 tests/0.25 ml
- Negative control PE-labeled dextran coupled with HLA-B*801 molecules complexed with nonsense peptide, 150 tests/1.50 ml
{2}
Antibodies:
- Anti-CD8/FITC clone SK1 or clone DK25, 2 ml
- Anti-CD3/PerCP clone SK7 or clone UCHT1, 2 ml
- Anti-CD4/PE clone SK3 or clone MT310, 2 ml
Reagents required but not provided:
- FACS Lysing Solution (10X)
- Trucount tubes
- Control Cells
J. Substantial Equivalence Information:
1. Predicate device name:
Beckman Coulter iTAg MHC Tetramer CMV Kit
2. Predicate 510(k) number:
K051122
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | Dextramer CMV Kit | iTAg MHC Tetramer CMV Kit |
| Intended Use | Dextramer® CMV Kit is a semi-quantitative assay intended for the identification and enumeration of cytomegalovirus (CMV)-specific CD8+ T cells in anticoagulated (Na Heparin) whole blood specimens by flow cytometry. Dextramer® CMV Kit is indicated for assessment of CMV-specific immune status and risk of CMV reactivation in adult human stem cell transplant patients following immunosuppression and used in conjunction with other laboratory and clinical findings. | The Beckman Coulter iTAg MHC Tetramer CMV assay is for the identification and enumeration of cytomegalovirus (CMV)-specific CD8+ lymphocytes in whole blood by flow cytometry, and the assessment of CMV-specific immune status and risk of CMV reactivation in immunosuppressed stem cell transplant recipients. The assay is limited to individuals with the following HLA types: A*0101, A*0201, B*0702, B*0801, B*3501. |
{3}
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | The kit cannot be used to measure CMV infection or disease. The kit is limited to individuals with the following HLA types: A*0101, A*0201, B*0702, B*0801, B*3501. | |
| Instrumentation | Flow Cytometer | same |
| Sample type | Whole Blood | same |
| Cell Type detected | CMV-specific CD8+ T cells Human T lymphocytes | Same Same |
| Fluorochromes | Anti-CD8 FITC Anti-CD4 PE | Anti-CD8 FITC Anti CD4 PE |
| HLA Types (peptide sequence) | HLA-A*0101 (VTEHDTLLY) | Same |
| | HLA-A*0201 (NLVPMVATV) | Same |
| | HLA-B*0702 (TPRVTGGGAM) | Same |
| | HLA-B*0801 (ELRRKMMYM) | Same |
| | HLA-B*3501 (IPSINVHHY) | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Fluorochromes | Anti-CD3 PerCP | Anti-CD3 PC5 |
| Anticoagulant | Na Heparin | EDTA |
| MHC Multimer backbone | Dextran | Streptavidin |
| Detection Method | Dextramers | Tetramers (complexes of MHC molecules associated with a CMV specific peptide sequence) |
{4}
5
K. Standard/Guidance Document Referenced (if applicable):
1. ISO 14971 Medical Devices-Application of Risk Management to Medical Devices Guidance for Industry;2007
2. CLSI EP09-A3, Method Comparison and Bias Estimation Using Patient Samples; Third Edition; Approved Guideline
3. CLSI H3-A6, Procedures for the Collection of Diagnostic Blood Specimens by Venipuncture; Sixth Edition
4. CLSI H42-A Flow Cytometry: Quality Assurance and Immunophenotyping of Lymphocytes
5. CLSI I/LA26-A, Performance of Single Cell Immune Response Assays; Second Edition;2013
L. Test Principle:
The Dextramer CMV Kit test involves a two-step procedure followed by analysis by flow cytometry. Step 1 is the determination of the percentage of CMV-specific CD3+CD8+T cells in the sample (Tube A). A negative control /PE Dextramer is added to Tube B in place of the HLA matching CMV Dextramer. Whole Blood sample (Na Heparin) is incubated with the selected CMV Dextramer matching the HLA-type(S) of the patient in tube A or the negative control in tube B. If a blood sample is analyzed by more than one CMV Dextramer, a separate Tube A for each CMV Dextramer is prepared. Anti-CD8/FITC and anti-CD3/PerCP are added to Tube A and Tube B and then incubated for a second time. After incubation and red blood cell lysis, the samples are centrifuged, washed in PBS, and supernatant is poured off. The remaining cell pellets are suspended in a fixing solution and assayed on a flow cytometer. Step 2 is the determination of the absolute number of CD3+CD8+ T cells in the sample (Tube C). The same whole blood sample is added to a TruCOUNT tube. Anti-CD8/FITC, anti-CD4/PE, and anti-CD3/PerCP are added to the tube and incubated. After incubation and red blood cell lysis, the samples are assayed on a flow cytometer. In Tube A, the percentage of CMV-specific CD3+CD8+ cells determined by subset analysis of the CD3+CD8+ cells. In Tube C, the absolute count of CD3+CD8+ T Cells is calculated. The absolute number of CMV-specific CD3+CD8+ T cells/μL blood is then determined by mathematical calculations.
M. Performance Characteristics:
Note: All results below met the manufacturer's pre-specified acceptance criteria.
1. Analytical performance:
a. Precision/Reproducibility:
Within-laboratory reproducibility was performed by two operators for the A*0101, A*0201, B*0702, B*0801, and B*3501 CMV dextramers using one FACSCanto II flow cytometer. A panel of three whole blood samples per allele were tested at negative (<1 cell/μL), low (1-7 cells/μL), and high (≥ 7 cells/μL) CMV-Specific CD8+ T cells. Samples were tested in replicates of ten per operator with a total of 60 values per allele.
{5}
| HLA-Type Allele | CMV T-cell Level | N | Operator 1 | | | Operator 2 | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | Dextramer cells/μL Range of Replicates | SD | %CV | Dextramer cells/μL Range of Replicates | SD | %CV |
| A*0101 | Neg | 10 | 0.00 | 0.00 | NC | 0.00-0.17 | 0.05 | NC |
| | Low | 10 | 4.44-5.86 | 0.42 | 8.60 | 3.82-5.42 | 0.48 | 10.27 |
| | High | 10 | 27.01-30.92 | 1.14 | 3.97 | 26.13-32.72 | 1.79 | 6.22 |
| A*0201 | Neg | 10 | 0.00 | 0.00 | NC | 0.00-0.17 | 0.06 | NC |
| | Low | 10 | 0.92-1.90 | 0.26 | 16.16 | 1.23-1.94 | 0.19 | 12.33 |
| | High | 10 | 8.84-11.21 | 0.67 | 6.74 | 8.05-11.14 | 0.84 | 8.85 |
| B*0702 | Neg | 10 | 0.00 | 0.00 | NC | 0.00-0.09 | 0.03 | NC |
| | Low | 10 | 3.47-4.20 | 0.21 | 5.33 | 2.97-3.87 | 0.28 | 8.30 |
| | High | 10 | 14.81-16.49 | 0.56 | 3.61 | 14.49-16.84 | 0.92 | 5.91 |
| B*0801 | Neg | 10 | 0.26-0.58 | 0.09 | NC | 0.31-0.55 | 0.08 | NC |
| | Low | 10 | 3.76-5.79 | 0.58 | 12.15 | 4.38-6.06 | 0.54 | 10.37 |
| | High | 10 | 7.23-8.74 | 0.52 | 6.47 | 4.61-8.11 | 1.00 | 14.49 |
| B*3501 | Neg | 10 | 0.00 | 0.00 | NC | 0.0.0-0.03 | 0.01 | NC |
| | Low | 10 | 2.95-4.43 | 0.44 | 11.78 | 2.64-3.89 | 0.34 | 9.62 |
| | High | 10 | 19.11-23.02 | 1.29 | 6.06 | 16.26-20.85 | 1.20 | 6.42 |
| HLATType Allele | CMV Dextramer | CMV T cell Level | N | Mean (cells/μl) | SD (cells/μl) | %CV |
| --- | --- | --- | --- | --- | --- | --- |
| A*0101 | HLA-A*0101 / VTEHDTLLY / PE | Negative | 20 | 0.02 | 0.04 | NC |
| | | Low | 20 | 4.80 | 0.49 | 10 |
| | | High | 20 | 28.7 | 1.50 | 5 |
| A*0201 | HLA-A*0201 / NLVPMVATV / PE | Negative | 20 | 0.03 | 0.05 | NC |
| B*0702 | Neg | 10 | 0.00 | 0.00 | NC | 0.00-0.09 |
| | Low | 10 | 0.92-1.90 | 0.26 | 16.16 | 1.23-1.94 |
| | High | 10 | 8.84-11.21 | 0.67 | 6.74 | 8.05-11.14 |
| B*0801 | Neg | 10 | 0.00 | 0.00 | NC | 0.00-0.09 |
| | Low | 10 | 3.47-4.20 | 0.21 | 5.33 | 2.97-3.87 |
| | High | 10 | 14.81-16.49 | 0.56 | 3.61 | 14.49-16.84 |
{6}
| HLATType Allele | CMV Dextramer | CMV T cell Level | N | Mean (cells/μl) | SD (cells/μl) | %CV |
| --- | --- | --- | --- | --- | --- | --- |
| | | Low | 20 | 1.60 | 0.23 | 14 |
| | | High | 20 | 10.1 | 0.93 | 9 |
| B*0702 | HLA-B*0702 / TPRVTGGGAM / PE | Negative | 20 | 0.02 | 0.03 | NC |
| | | Low | 20 | 3.73 | 0.40 | 11 |
| | | High | 20 | 16.2 | 1.15 | 7 |
| B*0801 | HLA-B*0801 / ELRRKMMYM / PE | Negative | 20 | 0.43 | 0.08 | NC |
| | | Low | 20 | 5.12 | 0.61 | 12 |
| | | High | 20 | 7.51 | 1.00 | 13 |
| B*3501 | HLA-B*3501 / IPSINVHHY / PE | Negative | 20 | 0.00 | 0.01 | NC |
| | | Low | 20 | 3.78 | 0.44 | 12 |
| | | High | 20 | 21.1 | 2.27 | 11 |
$\% \mathrm{CV}$ was Not Calculated (NC) for negative samples with CMV-Specific T cells of $< 1$ cell/ $\mu \mathrm{L}$
Site-to-site reproducibility was performed at three clinical laboratory sites for the A*0101, A*0201, B*0702, B*0801, and B*3501 CMV dextramers using the FACSCanto II flow cytometers. The study included three different operators using three different flow cytometers with replicates of three performed in one run including samples across negative (<1 cell/μL), low (1-7 cells/μ), and high (≥ 7 cells/μL) CMV CMV- Specific CD8+ T cells. Each sample was tested in triplicate using the HLA matched CMV Dextramer for a total of 43 replicates per allele. Results for each site are provided for With-in Run imprecision.
Combined results
| Sample | N | Mean | Within-Run Site 1 | | Within-Run Site 2 | | Within-Run Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| A*0101 High | 9 | 15.5 | 1.31 | 7 | 0.49 | 4 | 1.59 | 10 | 2.76 | 18 |
| A*0101 Low | 9 | 5.31 | 0.58 | 10 | 0.54 | 13 | 0.83 | 13 | 0.91 | 17 |
| A*0101 Low | 7 | 5.64 | 0.58 | 11 | N/A | N/A | 0.24 | 4 | 0.33 | 6 |
| A*0101 Low | 7 | 2.44 | 0.16 | 6 | N/A | N/A | 0.31 | 15 | 0.27 | 11 |
{7}
| Sample | N | Mean | Within-Run Site 1 | | Within-Run Site 2 | | Within-Run Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| A*0101 Negative | 9 | 0.01 | 0.04 | NC | 0.00 | NC | 0.00 | NC | 0.02 | NC |
| A*0201 High | 9 | 16.5 | 1.66 | 9 | 1.02 | 7 | 0.19 | 1 | 1.29 | 8 |
| A*0201 Low | 7 | 5.62 | 0.30 | 5 | N/A | N/A | 0.33 | 7 | 0.55 | 10 |
| A*0201 Low | 9 | 2.96 | 0.12 | 4 | 0.25 | 10 | 0.21 | 6 | 0.27 | 9 |
| A*0201 Negative | 9 | 0.41 | 0.21 | NC | 0.05 | NC | 0.14 | NC | 0.12 | NC |
| A*0201 Negative | 9 | 0.01 | 0.01 | NC | 0.00 | NC | 0.03 | NC | 0.01 | NC |
| B*0702 High | 8 | 7.65 | 0.69 | 9 | 0.82 | 12 | 0.43 | 5 | 0.51 | 7 |
| B*0702 Low | 9 | 2.63 | 0.22 | 10 | 0.15 | 6 | 0.05 | 2 | 0.39 | 15 |
| B*0702 Negative | 8 | 0.00 | 0.00 | NC | 0.00 | NC | 0.00 | NC | 0.00 | NC |
| B*0801 High | 9 | 9.90 | 1.02 | 9 | 0.40 | 5 | 0.95 | 9 | 1.789 | 18 |
| B*0801 Low | 7 | 5.01 | 0.50 | 9 | N/A | N/A | 0.28 | 5 | 0.67 | 13 |
| B*0801 Negative | 9 | 0.00 | 0.00 | NC | 0.00 | NC | 0.00 | NC | 0.00 | NC |
| B*3501 High | 8 | 7.17 | 1.20 | 16 | 0.30 | 4 | 0.16 | 3 | 0.47 | 7 |
| B*3501 Low | 9 | 4.43 | 0.26 | 6 | 0.54 | 14 | 0.65 | 13 | 0.50 | 11 |
| B*3501 Negative | 9 | 0.00 | 0.01 | NC | 0.00 | NC | 0.00 | NC | 0.00 | NC |
N/A: not applicable; sample not run at site
%CV was Not Calculated (NC) for negative samples with CMV-Specific T cells of $< 1$ cell/μL.
The $\% \mathrm{CV}$ for within-lab reproducibility ranged between $5\%$ and $14\%$ . The $\% \mathrm{CV}$ for site-to-site reproducibility ranged from $6\%$ and $18\%$ .
# b. Linearity/assay reportable range:
The assay linear range was determined using five Na Heparin whole blood samples from stem cell transplant patients representing all five alleles. Serial dilutions of each specimen with CMV seronegative blood specimens were tested in triplicate using a FACSCanto II flow cytometer. Results of linearity study are shown below in tables.
{8}
| Dilutions | N | A*0101 | | | A*0201 | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Dextramer+ Cells/μL expected | Dextramer+ Cells/μL actual | % Recovery | Dextramer+ Cells/μL actual | Dextramer+ Cells/μL expected | % Recovery |
| Neat | 3 | 26.33 | 26.33 | 100 | 107.32 | 107.32 | 100 |
| 1:1.8 | 3 | 14.81 | 14.25 | 96 | 60.37 | 53.29 | 88 |
| 1:3.2 | 3 | 8.33 | 6.89 | 83 | 33.96 | 29.53 | 87 |
| 1:5.7 | 3 | 4.69 | 3.43 | 73 | 19.10 | 16.16 | 85 |
| 1:9.99 | 3 | 2.64 | 2.53 | 96 | 10.74 | 9.64 | 90 |
| 1:17.8 | 3 | 1.48 | 1.13 | 76 | 6.04 | 4.97 | 82 |
| 1:31.6 | 3 | <1 | <1 | - | 3.40 | 2.99 | 88 |
| 1:56.1 | 3 | <1 | <1 | - | 1.91 | 1.61 | 84 |
| 1:99.8 | 3 | <1 | <1 | - | 1.08 | 0.94 | 87 |
| 1:177 | 3 | <1 | <1 | - | <1 | <1 | - |
| Dilutions | N | B*702 | | | B*801 | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Dextramer+ Cells/μL expected | Dextramer+ Cells/μL actual | % Recovery | Dextramer+ Cells/μL actual | Dextramer+ Cells/μL expected | % Recovery |
| Neat | 3 | 46.95 | 46.95 | 100 | 25.85 | 25.85 | 100 |
| 1:1.8 | 3 | 26.41 | 27.85 | 105 | 14.54 | 19.49 | 134 |
| 1:3.2 | 3 | 14.86 | 15.91 | 107 | 8.18 | 7.62 | 93 |
| 1:5.7 | 3 | 8.36 | 9.43 | 113 | 4.60 | 4.01 | 87 |
| 1:9.99 | 3 | 4.70 | 5.38 | 114 | 2.59 | 2.48 | 96 |
| 1:17.8 | 3 | 2.64 | 3.12 | 118 | 1.46 | 1.28 | 88 |
| 1:31.6 | 3 | 1.49 | 1.98 | 133 | <1 | <1 | - |
| 1:56.1 | 3 | <1 | <1 | - | <1 | <1 | - |
| 1:99.8 | 3 | <1 | <1 | - | <1 | <1 | - |
| 1:177 | 3 | <1 | <1 | - | <1 | <1 | - |
| Dilutions | N | B*3501 | | |
| --- | --- | --- | --- | --- |
| | | Dextramer+ Cells/μL expected | Dextramer+ Cells/μL actual | % Recovery |
| Neat | 3 | 19.19 | 19.19 | 100 |
| 1:1.40 | 3 | 13.71 | 14.45 | 105 |
| 1:1.96 | 3 | 9.79 | 10.59 | 108 |
| 1:2.74 | 3 | 6.99 | 6.59 | 94 |
| 1:3.84 | 3 | 5.00 | 4.92 | 98 |
| 1:5.38 | 3 | 3.57 | 3.60 | 101 |
| 1:7.53 | 3 | 2.55 | 2.37 | 93 |
| 1:10.54 | 3 | 1.82 | 1.69 | 93 |
| 1:14.76 | 3 | 1.30 | 1.04 | 80 |
{9}
| | r | Slope | 95%CI | Intercept | 95%CI |
| --- | --- | --- | --- | --- | --- |
| A*0101 | 0.9982 | 1.02 | 0.94–1.10 | -0.82 | -1.90–0.27 |
| A*0201 | 0.9978 | 0.98 | 0.92–1.04 | -1.46 | -3.99–1.07 |
| B*0702 | 0.9996 | 0.99 | 0.96–1.03 | 0.84 | 0.14–1.54 |
| B*0801 | 0.9794 | 1.07 | 0.76–1.38 | -0.09 | -4.00–3.82 |
| B*3501 | 0.9982 | 1.03 | 0.98–1.09 | -0.18 | -0.68–0.31 |
Cell concentrations were tested for linearity up to $107~\mathrm{cells} / \mu \mathrm{L}$ . The assay shows linearity between 1-107 cells/ $\mu \mathrm{L}$ .
Depending on the sample tested, the upper limit of the linear range (determined by the highest measured concentration for each allele) for the dextramer-positive cells varied by allele and ranges from 110 cells/μL (A*010) to 19.0 cells/μL for B*3501.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability:
There are currently no international reference standards for flow cytometry available.
Stability:
Sample Stability: The Specimen Stability study was performed using blood from four healthy donors collected in heparin tubes with high, low and negative CMV- specific $\mathrm{CD8 + }$ T cells. Each sample was analyzed in triplicate using the HLA matched CMV Dextramer from the Dextramer® CMV Kit within 3 hours, 20-22 hours and 44-48 hours post blood draw using a FACSCanto II flow cytometer (Becton Dickinson). CD3/CD4/CD8 low and high cell controls were used as quality controls for the determination of the $\%$ and absolute numbers of lymphocyte subsets to ensure that the reagents adhere to the defined criteria during the study. The study supported stability of blood specimens collected in sodium heparin for up to 44-48 hours prior to analysis.
A processed-sample is a specimen that is drawn, prepared, and stained with the protocol for sample preparation before flow cytometric analysis. A processed-sample stability study was performed using four healthy donors collected in Na-heparin tubes representing with high, low and negative CMV- specific $\mathrm{CD8 + }$ T cells. Each sample was analyzed in triplicate using the HLA matched CMV Dextramer from the Dextramer® CMV Kit and stored at $2 - 8^{\circ}\mathrm{C}$ in the dark prior to flow cytometer acquisition. Flow cytometer acquisition was performed within 3-6 hours and 20-26 hours post staining using a FACSCanto II flow cytometer (Becton Dickinson). CD3/CD4/CD8 low and high cell controls were used to QC the determination of the $\%$ and absolute numbers of lymphocyte subsets. Results of the study demonstrated that processed samples may be stored for up to 24 hours prior to analysis by flow cytometry.
{10}
Shelf Life: Stability testing was performed using only the open vial stability which will represent the open-vial stability as well as the shelf life for the device.
Open/In use Stability: A real-time, open-vial stability study was performed using three production lots. The functionality of the Dextramer CMV kit was evaluated using blood samples representing all claimed HLA-types (A*0101, A*0201, B*0702, B*801, and B*3501) and demonstrated an open-vial stability of 9 months at 2–8°C. Additional real-time open-vial stability studies are ongoing
d. Detection limit:
Limit of Blank (LoB): Fifty one Na heparin blood specimens from CMV seronegative stem cell transplant recipients representing five alleles were included in the study. 100% (51/51) were negative and within 0.00–0.06 cells/μL and thus below the functional assay sensitivity of 1 cell/μL.
Limit of Detection (LoD): Ten Na heparin whole blood specimens from stem cell transplant recipients representing five alleles were included in the study. Serial dilutions of each specimen were tested in triplicate for a total of 48 measurements for each allele. The Limit of Detection (LoD) was determined to be 1 cell/μL.
Limit of Quantitation (LoQ): The Limit of Quantitation (LoQ) (analytical sensitivity) is 1 cell/μL as determined by the lowest concentration of cells (cells/μL) that can be determined with a CV% below 20%.
e. Analytical specificity:
98% (61/62) of CMV seronegative patients have undetectable (<1 cell/μL) CMV-specific T cells ranging from 0.00–0.25 cells/μL.
Interference: Samples from healthy human donors were selected to represent the five alleles and to represent negative, low, and high CMV T-cell response. For each test cell population, three different concentrations of spiked cell were prepared with 1x (unspiked), 2x (spiked), and 3x (spiked) levels of interfering white blood cell and normal, middle, and high level of red blood cells. Each sample was tested in three replicates on the FACSCanto II flow cytometer. There was no significant interference from the tested cell populations equivalent to 2x normal level for monocytes (recovery of 91–114% for 2x), equivalent to 3x normal level for granulocytes (recovery of 91–109% for 2x and 100–117% for 3x), equivalent to 3x normal level for platelets (recovery of 87–104% for 2x and 81–110% for 3x), and equivalent to 2x normal level for red blood cells (recovery of 91–109% for middle level and 89–99% for high level).
Cross reactivity with mismatched alleles: No significant cross-reaction was observed when a sample with an allele that was different than the allele being measured was used in the analysis.(mismatching Dextramer CMV reagents). All results from
11
{11}
analysis of four blood samples with CMV-specific T cells with HLA mis-matched CMV dextramers were within 0.00–0.11 cells/μL and thus below the Limit of Detection of 1 cell/μL.
f. Assay cut-off:
Not applicable
## 2. Comparison studies:
a. Method comparison with predicate device:
The method comparison was performed according to CLSI Guideline EP09-A3, at one site using native samples from the intended use (IU) population and spiked samples on a Becton Dickinson (BD) FACSCanto II flow cytometer. The same set of patient samples was used to perform the testing of CD3+/CD8+ T-cells and CMV specific CD8+ T-cells with the iTAg predicate. A total of 133 samples were tested including CMV-seropositive and seronegative patients for a total of 188 measurements of which 117 have detectable CMV-specific T-cells. For spiked samples, a Na heparin blood sample containing CMV-specific CD8+ T-cells of interest was spiked into multiple different CMV-negative Na heparin blood samples in order to generate 97 unique samples around the cutoff. Spiked samples were used because native samples from the intended use population with CMV-specific T cells around the cut-off are rare.
The total number of patient samples for each of the five claimed alleles as well as the subset with detectable CMV-specific T-cells in parenthesis is listed in the table below:
| CMV Dextramer | Native IU Samples
(number with values > 1 cell/μL) | Spiked Samples
(n) | Total
(n) |
| --- | --- | --- | --- |
| HLA-A*0101 / VTEHDTLLY / PE | 16(5) | 26(25) | 42(30) |
| HLA-A*0201 / NLVPMVATV / PE | 41(15) | 37(34) | 78(49) |
| HLA-B*0701 / TPRVTGGGAM / PE | 13(2) | 14(14) | 27(16) |
| HLA-B*0801 / ELRRKMMYM / PE | 7(2) | 10(8) | 17(10) |
| HLA-B3501 / IPSINVHHY / PE | 14(5) | 10(7) | 24(12) |
| Total | 91(29) | 97(88) | 188(117) |
{12}
The method comparison was evaluated using only samples with CMV-specific T cells results $>1$ cell/ $\mu \mathrm{L}$ .
Dextramer CMV Kit vs. Predicate iTAg Tetramer
CMV-specific T cells enumeration results with samples of $>1$ cell/ $\mu \mathrm{L}$
| T subset | Slope | 95% CI | Intercept | 95% CI | r |
| --- | --- | --- | --- | --- | --- |
| CD3+CD8+ | 0.9840 | 0.92 to 1.05 | -0.4406 | -8.47 to 7.59 | 0.905 |
| CMV-specific CD8+T-cell | 1.010 | 0.89 to 1.13 | 0.39 | 0.09 to 0.69 | 0.952 |
Agreement with predicate: All Samples
| Method | Predicate iTAg Tetramer | | | |
| --- | --- | --- | --- | --- |
| | | ≥7 cells/μL | <7 cells/μL | Total |
| Test Dextramer CMV Kit | ≥7 cells/μL | 33 | 8 | 41 |
| | <7 cells/μL | 5 | 142 | 147 |
| | Total | 38 | 150 | 188 |
Positive Percent Agreement (33/38): $86.8\%$ (95% CI: 71.9-95.6%)
Negative Percent Agreement (142/150): $94.7\%$ (95% CI: 89.8-97.7%)
Agreement with predicate: Samples with CMV-specific T cells of $\geq 1$ cell/ $\mu \mathrm{L}$
| Method | Predicate iTAg Tetramer | | | |
| --- | --- | --- | --- | --- |
| | | ≥7 cells/μL | <7 cells/μL | Total |
| Test Dextramer CMV Kit | ≥7 cells/μL | 33 | 8 | 41 |
| | <7 cells/μL | 5 | 71 | 76 |
| | Total | 38 | 79 | 117 |
Positive Percent Agreement (33/38): $86.8\%$ (95% CI: 71.9-95.6%)
Negative Percent Agreement (71/79): $89.9\%$ (95% CI: 81.0-95.5%)
Sample range for $\mathrm{CD3 + CD8 + }$ is 2.90-1389 CD3+CD8+ T cells/ $\mu \mathrm{L}$
Sample range for CMV-specific CD8+ T-cells is 1.01-93.87 CMV-specific CD8+ T cells/μL.
{13}
b. Matrix comparison:
Only Sodium (Na) heparin was used in this new device as well as with the predicate device.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Risk Assessment:
A prospective study was performed with 120 patients with an allogenic stem cell transplant (SCT) followed for up to one year for recurrence of CMV infection and determination of numbers of CMV-specific CD8+ T cells using the CMV Dextramer Kit. Dextramer analysis was performed pretransplant, at days 30, 100, and 365 and included the alleles HLA-A*0101, A*0201, B*0702, B*0801, and B*3501. The Dextramer giving the highest absolute counts at each timepoint for each patient was used in analysis and evaluation.
In accordance with routine practice Antigenemia tests were performed weekly from Day 21 and continuing at least until Day 120 or until the patient was off all immunosuppression.
Relative risk was evaluated based on results at Day 100 from patients that were both CMV seropositive and reactivated CMV at least one time. Day 100 was determined to be the best time point to assess recovery. At day 30, 90% of the patients did not have any measurable CMV-specific T-cells and none of the patients had reactivated CMV. There were insufficient numbers of patients in the study at day 365 to make a conclusion about the performance of the device at that time point.
Fewer patients had results at day 365 as compared to day 100 and the patients were not followed after the last time point. Five patients that reactivated CMV had no CMV Dextramer results obtained at day 100 and were excluded from the study. Fourteen of the remaining 29 patients had one or more CMV reactivations post day 100 (recurrent viremia group) while 15 patients did not develop CMV infection after day 100 (resolved group). The average number of CMV-specific T cells in the resolved group was significantly higher (median=47 cells/μL) compared to the group with recurrent viremia (median=13 cells/μL).
{14}
In summary, 19 patients had recovered CMV-specific CD8+ T cell immunity (levels ≥7 cells/μL) at day 100 and 74% (14/19) of these patients did not develop CMV infection after day 100. Of the remaining patients, that had <7 cells/μL at day 100, 90% (9/10) developed CMV infection after day 100.
CMV seropositive patients that had one or more CMV reactivations
| | Recurrent CMV Infection post Day100 | | | |
| --- | --- | --- | --- | --- |
| | | No | Yes | Total |
| CMV Specific CD8+ T cells | Delayed Recovery < 7 cells/μL | 1 | 9 | 10 |
| | Rapid Recovery ≥ 7 cells/μL | 14 | 5 | 19 |
| | Total | 15 | 14 | 29 |
All samples
| | Recurrent Viremia | | | |
| --- | --- | --- | --- | --- |
| | | No | Yes | Total |
| CMV Specific CD8+ T cells | Delayed Recovery < 7 cells/μL | 77 | 14 | 91 |
| | Rapid Recovery ≥ 7 cells/μL | 9 | 20 | 29 |
| | Total | 86 | 34** | 120*** |
* Eight samples were excluded from the final analysis due to HLA alleles did not match the claimed alleles.
** 34 patients developed antigenemia, however five patients were excluded because they did not have a sample taken at Day 100.
*** 52 patients were excluded for being CMV seronegative and had CMV seronegative donors
Risk of developing CMV antigenemia after Day 100
Risk is defined as the risk of a patient with less than 7 cells/μL developing CMV infection post Day 100 compared to a patient with more than 7 cells/ μL.
15
{15}
| # CMV+ T cells at Day 100 | Development of antigenemia (post Day 100) | | |
| --- | --- | --- | --- |
| | Yes | No | Total |
| <7 cells/μL | 9 | 1 | 10 |
| ≥7 cells/μL | 5 | 14 | 19 |
| Total | 14 | 15 | 29 |
| Risk | 3.4 (95% CI: 1.57 – 7.46) | | |
Dextramer results were evaluated at Day 30, 100, and Day 365 post-transplant. Only samples collected on day 100 showed significant association between CMV-specific CD8+ T cells status and development of antigenemia. Results summarized in the table above show that the relative risk in developing antigenemia is 3.4 (95% CI: 1.57 – 7.46) for patients with < 7 cells/μL CMV-specific CD8+ T cells determined by the Dextramer CMV kit, as compared to patients with ≥ 7 cells/μL CMV-specific CD8+ T cells.
4. Clinical cut-off:
CMV dextramer+CD8+ T cells >7 cells/μL at Day 100 post-transplant
5. Expected values/Reference range:
The study to determine the expected reference range of CMV-specific T-cells results obtained with CMV Dextramers was performed using 55 CMV-seropositive and 62 CMV-seronegative stem cell transplant patients. 98% (61/62) of CMV-seronegative patients have undetectable (< 1 cell/ μL) CMV-specific T cells ranging from 0.00 – 0.25 cells/μL and 56% (31/55) of CMV seropositive patients have detectable (> 1 cell/ μL) CMV-specific T-cells ranging from 1.15 – 182 cells/ μL. Samples tested may test negative for CMV-specific T-cells as the CMV response may be restricted to non-claimed alleles that are not in the scope of this clearance. The CMV Dextramer Kit is intended for use with five claimed alleles.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
1. The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.