K261109 · Beckman Coulter, Inc. · QPS · Oct 19, 2026 · Microbiology
Device Facts
Record ID
K261109
Device Name
Access MeMed BV
Applicant
Beckman Coulter, Inc.
Product Code
QPS · Microbiology
Decision Date
Oct 19, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.3215
Device Class
Class 2
Attributes
Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K261109 · Oct 19, 2026
Access MeMed BV
Beckman Coulter, Inc.
Clinical serum samples from pediatric and adult patients presenting to Emergency Departments or Urgent Care Centers
Retrospective clinical samples were used to perform a method comparison and clinical validation of the Access MeMed BV assay against the predicate MeMed BV device.
Clinical validation study; Retrospective method comparison study
Pediatric (>90 days to <18 years) and adult (≥18 years) patients presenting to the Emergency Department or Urgent Care Center with suspected acute bacterial or viral infection; Sample Size: 423 serum samples; Number of Sites: 4 enrollment sites and 2 external vendors
MeMed BV assay run on the MeMed Key device
Quantitative agreement (CRP, IP-10, TRAIL, and BV Score) and bin-level concordance
Indications for Use
The Access MeMed BV test is an automated semi-quantitative immunoassay that measures three non-microbial (host) proteins, (TRAIL, IP-10, and CRP) in adult and pediatric serum and plasma samples and is intended for use in conjunction with clinical assessments and other laboratory findings as an aid to differentiate bacterial from viral infection. Access MeMed BV is indicated for use in patients presenting to the emergency department or urgent care center and with samples collected at hospital admission from patients with suspected acute bacterial or viral infection, who have had symptoms for less than seven days. The Access MeMed BV test generates a numeric score that falls within discrete interpretation bins based on the increasing likelihood of bacterial infection.
Device Story
Automated semi-quantitative chemiluminescent immunoassay; measures TRAIL, IP-10, and CRP from single human serum or lithium heparin plasma specimen. Operates on Access 2 Immunoassay System or DxI 9000 Access Immunoassay Analyzer. Sequential two-step immunoenzymatic assay; alkaline phosphatase-labeled antibody conjugate and paramagnetic particles form sandwich immune complex; chemiluminescent substrate added; light emission measured by luminometer. Proprietary algorithm embedded in instrument software processes analyte concentrations to generate numeric BV Score (0-100). Used in emergency departments/urgent care by clinicians to aid in differentiating bacterial from viral infection. Output provides risk bins (0-100) indicating likelihood of bacterial vs. viral etiology. Assists clinical decision-making by providing objective host-response data to support infection management.
Clinical Evidence
Clinical validation study compared Access MeMed BV on Access 2 and DxI 9000 platforms against predicate MeMed Key device using 423 serum samples (pediatric and adult). Primary analysis used weighted Deming regression for analytes and Deming regression for BV Score. Spearman correlation coefficients > 0.95 for all analytes. Overall agreement between platforms and predicate was 82.6%-83.7%, with 99.7%-100% agreement within ±1 bin. Reference interval study (N=224 healthy adults) established score distributions.
Indicated for adult and pediatric patients presenting to emergency departments or urgent care centers with suspected acute bacterial or viral infection and symptoms duration < 7 days. Used as an aid to differentiate bacterial from viral infection in conjunction with clinical assessments.
Regulatory Classification
Identification
A device to detect and measure non-microbial analyte(s) in human clinical specimens to aid in assessment of patients with suspected sepsis is identified as an in vitro device intended for the detection and qualitative and/or quantitative measurement of one or more non-microbial analytes in human clinical specimens to aid in the assessment of patients with suspected sepsis when used in conjunction with clinical signs and symptoms and other clinical and laboratory findings.
Special Controls
A device to detect and measure non-microbial analyte(s) in human clinical specimens to aid in assessment of patients with suspected sepsis must comply with the following special controls:
*Classification.* Class II (special controls). The special controls for this device are:(1) Premarket notification submissions must include the device's detailed Indications for Use statement describing what the device detects and measures, the results provided to the user, whether the measure is qualitative and/or quantitative, the clinical indications for which the test is to be used, and the specific population(s) for which the device use is intended.
(2) Premarket notification submissions must include detailed documentation of the device description, including (as applicable), all device components, software, ancillary reagents required but not provided, explanation of the device principle and methodology, and for molecular devices include detailed documentation of the primer/probe sequence, design, and rationale for sequence selection.
(3) Premarket notification submissions must include detailed documentation of applicable analytical studies, such as, analytical sensitivity (Limit of Detection, Limit of Blank, and Limit of Quantitation), precision, reproducibility, analytical measuring range, interference, cross-reactivity, and specimen stability.
(4) Premarket notification submissions must include detailed documentation of a prospective clinical study or, if appropriate, results from an equivalent sample set. This detailed documentation must include the following information:
(i) Results must demonstrate adequate device performance relative to a well-accepted comparator.
(ii) Clinical sample results must demonstrate consistency of device output throughout the device measuring range likely to be encountered in the Intended Use population.
(iii) Clinical study documentation must include the original study protocol (including predefined statistical analysis plan), study report documenting support for the Indications for Use(s), and results of all statistical analyses.
(5) Premarket notification submissions must include evaluation of the level of the non-microbial analyte in asymptomatic patients with demographic characteristics (
*e.g.,* age, racial, ethnic, and gender distribution) similar to the Intended Use population.(6) As part of the risk management activities performed under 21 CFR 820.10(c) design and development, you must document an appropriate end user device training program that will be offered as part of your efforts to mitigate the risk of failure to correctly operate the instrument.
(7) A detailed explanation of the interpretation of results and acceptance criteria must be included in the device's 21 CFR 809.10(b)(9) compliant labeling, and a detailed explanation of the interpretation of the limitations of the samples (
*e.g.,* collected on day of diagnosis) must be included in the device's 21 CFR 809.10(b)(10) compliant labeling.
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY ONLY
# I Background Information:
A 510(k) Number
K261109
B Applicant
Beckman Coulter, Inc.
C Proprietary and Established Names
Access MeMed BV
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| QPS | II | 866.3215 | Device To Detect And Measure Non-Microbial Analyte(s) In Human Clinical Specimens To Aid In Assessment Of Patients With Suspected Sepsis |
# II Submission/Device Overview:
A Purpose for Submission:
To obtain a substantial equivalence determination for the Access MeMed BV device
B Measurand:
TNF-related apoptosis inducing ligand (TRAIL), Interferon gamma-inducible protein 10 (IP-10), and C-reactive protein (CRP).
C Type of Test:
Chemiluminescent immunoassay
# III Intended Use/Indications for Use:
A Intended Use(s):
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See Indications for Use below.
### B Indication(s) for Use:
The Access MeMed BV test is an automated semi-quantitative immunoassay that measures three non-microbial (host) proteins, (TRAIL, IP-10, and CRP) in adult and pediatric serum and plasma samples and is intended for use in conjunction with clinical assessments and other laboratory findings as an aid to differentiate bacterial from viral infection. Access MeMed BV is indicated for use in patients presenting to the emergency department or urgent care center and with samples collected at hospital admission from patients with suspected acute bacterial or viral infection, who have had symptoms for less than seven days. The Access MeMed BV test generates a numeric score that falls within discrete interpretation bins based on the increasing likelihood of bacterial infection.
### C Special Conditions for Use Statement(s):
Rx Only - For Prescription Use Only
### D Special Instrument Requirements:
Access 2 Immunoassay System
DxI 9000 Access Immunoassay Analyzer
### IV Device/System Characteristics:
### A Device Description:
The Access MeMed BV is an automated, semi-quantitative immunoassay reagent kit intended to aid clinicians in differentiating bacterial from viral infection in adult and pediatric patients. It is indicated for use in patients presenting to emergency departments or urgent care centers, and with samples collected at hospital admission in individuals with suspected acute bacterial or viral infection. The test is intended to be used in conjunction with clinical assessments and other laboratory findings.
The device measures three host (non-microbial) proteins simultaneously from a single human serum or plasma specimen: TRAIL (TNF-related apoptosis-inducing ligand), IP-10 (Interferon gamma-induced protein 10), and CRP (C-reactive protein). Each analyte is detected using a sequential two-step immunoenzymatic assay run on the automated Access 2 Immunoassay System or DxI 9000 Access Immunoassay Analyzer.
The three analyte concentrations are processed by a proprietary algorithm embedded in the analyzer software, which generates a single numeric BV Score ranging from 0 to 100 (Table 1)
Table 1. Score Bin Ranges and Result Interpretations
| Score Bin | Clinical Interpretation |
| --- | --- |
| 0 ≤ score ≤ 10 | High likelihood of viral infection (or other non-bacterial etiology) |
| 10 < score < 35 | Moderate likelihood of viral infection (or other non-bacterial etiology) |
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| 35 ≤ score ≤ 65 | Equivocal |
| --- | --- |
| 65 < score < 90 | Moderate likelihood of bacterial infection (or co-infection) |
| 90 ≤ score ≤ 100 | High likelihood of bacterial infection (or co-infection) |
Access MeMed BV reagent kit consists of three sub-kits (TRAIL, IP-10, and CRP), each containing two reagent packs of 50 tests per pack, for a total of 100 determinations per kit. Each reagent pack contains four reagent wells with paramagnetic particles, enzyme-labeled antibody conjugates, ancillary buffers, and sodium hydroxide.
### B Principle of Operation:
The Access MeMed BV test comprises three immunoenzymatic assays that simultaneously measure three non-microbial host proteins, TRAIL, IP-10, and CRP from a single human serum or plasma specimen. Each assay employs a sequential two-step format in which an alkaline phosphatase-labeled antibody conjugate and paramagnetic particles coated with a capture antibody work together to bind the target analyte at two distinct antigenic sites, forming a sandwich immune complex on the solid phase. A magnetic field is then applied to retain the particle-bound complexes while unbound materials are washed away. A chemiluminescent substrate is subsequently added, and the resulting light emission, measured in relative light units (RLU) by a luminometer, is directly proportional to the concentration of the analyte in the sample. Analyte concentrations are automatically determined by comparing the light output to a stored calibration curve. Once all three analyte concentrations are determined within a single analyzer run, a proprietary algorithm embedded in the instrument software calculates and reports the MeMed BV Score, a numeric value between 0 and 100. The score is assigned to one of five discrete interpretation bins that reflect the increasing likelihood of bacterial infection, from high likelihood of viral infection (or other non-bacterial etiology) at the low end of the scale to high likelihood of bacterial infection or co-infection at the high end.
### V Substantial Equivalence Information:
#### A Predicate Device Name(s):
MeMed BV
#### B Predicate 510(k) Number(s):
K210254
#### C Comparison with Predicate(s):
| Device & Predicate Device(s): | K261109 | K210254 |
| --- | --- | --- |
| Device Trade Name | Access MeMed BV | MeMed BV |
| General Device Characteristic Similarities | | |
| | The Access MeMed BV test is an automated semi-quantitative immunoassay that measures three non-microbial (host) proteins (TRAIL, IP-10, | The MeMed BV test is an automated semi-quantitative immunoassay that measures three non-microbial (host) proteins (TRAIL, IP-10, and |
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| Intended Use/ Indications for Use | and CRP) in adult and pediatric serum and plasma samples and is intended for use in conjunction with clinical assessments and other laboratory findings as an aid to differentiate bacterial from viral infection. Access MeMed BV is indicated for use in patients presenting to the emergency department or urgent care center and with samples collected at hospital admission from patients with suspected acute bacterial or viral infection, who have had symptoms for less than seven days. The Access MeMed BV test generates a numeric score that falls within discrete interpretation bins based on the increasing likelihood of bacterial infection. | CRP) in adult and pediatric serum samples and is intended for use in conjunction with clinical assessments and other laboratory findings as an aid to differentiate bacterial from viral infection. The MeMed BV is indicated for use in patients presenting to the emergency department or urgent care center and with samples collected at hospital admission from patients with suspected acute bacterial or viral infection, who have had symptoms for less than seven days. The MeMed BV test generates a numeric score that falls within discrete interpretation bins based on the increasing likelihood of bacterial infection. |
| --- | --- | --- |
| Assay Principle | Same | Sandwich Immunoassay |
| Method | Same | Automated Semi-Quantitative |
| Format | Same | Chemiluminescent Immunoassay |
| Analyte or Marker | Same | Three non-microbial (host) proteins: • TNF-related apoptosis inducing ligand (TRAIL), • Interferon gamma-inducible protein 10 (IP-10), and • C-reactive protein (CRP) |
| Output | Same | Score results with risk bins: • 0 ≤ Score ≤ 10: High likelihood of viral infection (or other non-bacterial etiology) • 10 < Score < 35: Moderate likelihood of viral infection (or other non-bacterial etiology) • 35 ≤ Score ≤ 65: Equivocal • 65 < Score < 90: Moderate |
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| | | likelihood of bacterial infection (or co-infection) • 90 ≤ Score ≤ 100: High likelihood of bacterial infection (or co-infection) |
| --- | --- | --- |
| Score Algorithm | Same | Uses MeMed Diagnostics, Ltd.'s proprietary algorithm |
| General Device Characteristic Differences | | |
| Sample Type | Serum or Lithium Heparin Plasma | Serum |
| Measuring Range | TRAIL: 15 - 300 pg/mL IP-10: 100 - 2000 pg/mL CRP: 1.0 - 250 mg/L | TRAIL: 15 – 290 pg/mL IP-10: 96 -1930 pg/mL CRP: 1.0 – 289 μg/mL |
| Duration | Approximately 20 minutes | Approximately 15 minutes |
| Sample Volume | 180 μL for Access 2 Immunoassay System 170 μL for DxI 9000 Immunoassay Analyzer | 100 μL |
| Instrument | Access 2 Immunoassay System DxI 9000 Access Immunoassay Analyzer | MeMed Key Analyzer |
## VI Standards/Guidance Documents Referenced:
CLSI Consensus Standards:
- CLSI EP05-A3 (Reaffirmed September 2019) – Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline – Third Edition
- CLSI EP06, 2nd Edition – Evaluation of the Linearity of Quantitative Measurement Procedures
- CLSI EP07, 3rd Edition – Interference Testing in Clinical Chemistry
- CLSI EP09c, 3rd Edition – Measurement Procedure Comparison and Bias Estimation Using Patient Samples
- CLSI EP17-A2 – Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline – Second Edition
- CLSI EP25, 2nd Edition – Evaluation of Stability of In Vitro Medical Laboratory Test Reagents
- CLSI EP28-A3c (formerly C28-A3c) – Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline – Third Edition
- CLSI EP35, 1st Edition – Assessment of Equivalence or Suitability of Specimen Types for Medical Laboratory Measurement Procedures
- CLSI EP37, 1st Edition – Supplemental Tables for Interference Testing in Clinical Chemistry
FDA Guidance Documents:
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- Cybersecurity in Medical Devices: Quality Management System Considerations and Content of Premarket Submissions (February 2026)
- Postmarket Management of Cybersecurity in Medical Devices (December 2016)
- Convenience Kits Interim Regulatory Guidance (May 1997)
### VII Performance Characteristics (if/when applicable):
#### A Analytical Performance:
##### i. Precision/Reproducibility:
A multi-site reproducibility study was conducted to evaluate the performance of the Access MeMed BV assay. Testing was performed at three sites using both instrument platforms: the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer. At each site, five samples were tested in triplicate over five days, with two runs per day separated by a minimum of two hours between runs. This design yielded a maximum of 30 measurements per sample per site and 90 measurements per sample across all sites. A single reagent lot for reagent packs, quality controls, and calibrators was used at each testing site. Five samples were evaluated, as described in Table 2. Four samples (1-4) were native serum pools supplemented with recombinant antigen; one sample (5) was native serum pool comprised of individual samples at similar concentrations. Reproducibility results are reported separately below in Table 3 and Table 4 for each platform, combining data from all three sites.
Table 2. Reproducibility Study Sample Concentrations
| Sample ID | MeMed BV Score | Screened Concentration | | |
| --- | --- | --- | --- | --- |
| | | CRP (mg/L) | IP-10 (pg/mL) | TRAIL (pg/mL) |
| Sample 1 | 0 | 4.5 | 674 | 227 |
| Sample 2 | 17 | 49.0 | 187 | 105 |
| Sample 3 | 75 | 93.1 | 1939 | 49 |
| Sample 4 | 100 | 199.6 | 1146 | 27 |
| Sample 5 | 84 | 10.6 | 32 | 23 |
For each platform, results are reported across four analytes: TRAIL (pg/mL), IP-10 (pg/mL), and CRP (mg/L), expressed as percent coefficient of variation (%CV) and the BV Score, expressed as standard deviation (SD)
Table 3. Access MeMed BV Reproducibility Results for All Sites Combined on Access 2 Immunoassay System
| ACCESS 2 | | | Repeatability | | Between Day | | Between Run | | Within Laboratory | | Between Site | | Reproducibility | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Panel | N | Mean | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| TRAIL (pg/mL) | | | | | | | | | | | | | | |
| AS1 | 90 | 203 | 5.3 | 3% | 0.0 | 0% | 2.4 | 1% | 5.8 | 3% | 2.9 | 1% | 6.5 | 3% |
| AS2 | 90 | 86 | 2.0 | 2% | 0.0 | 0% | 0.0 | 0% | 2.0 | 2% | 0.3 | 0% | 2.0 | 2% |
| AS3 | 90 | 43 | 1.9 | 4% | 0.0 | 0% | 0.0 | 0% | 1.9 | 4% | 0.0 | 0% | 1.9 | 4% |
| AS4 | 90 | 24 | 0.6 | 2% | 0.0 | 0% | 0.2 | 1% | 0.6 | 3% | 0.2 | 1% | 0.7 | 3% |
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| AS5 | 90 | 21 | 0.7 | 3% | 0.0 | 0% | 0.0 | 0% | 0.7 | 3% | 0.0 | 0% | 0.7 | 3% |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| IP10 (pg/mL) | | | | | | | | | | | | | | |
| AS1 | 90 | 698 | 27.9 | 4% | 0.0 | 0% | 2.3 | 0% | 28.0 | 4% | 24.5 | 4% | 37.2 | 5% |
| AS2 | 90 | 181 | 6.6 | 4% | 0.8 | 0% | 0.0 | 0% | 6.7 | 4% | 2.0 | 1% | 7.0 | 4% |
| AS3 | 90 | 1810 | 92.2 | 5% | 0.0 | 0% | 0.0 | 0% | 92.2 | 5% | 30.6 | 2% | 97.2 | 5% |
| AS4 | 90 | 1043 | 26.2 | 3% | 12.5 | 1% | 0.0 | 0% | 29.0 | 3% | 34.7 | 3% | 45.3 | 4% |
| AS5* | 90 | <100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| CRP (mg/L) | | | | | | | | | | | | | | |
| AS1 | 90 | 4.6 | 0.2 | 4% | 0.1 | 2% | 0.1 | 3% | 0.2 | 5% | 0.2 | 5% | 0.3 | 7% |
| AS2 | 90 | 46.9 | 1.9 | 4% | 0.8 | 2% | 0.0 | 0% | 2.0 | 4% | 3.8 | 8% | 4.3 | 9% |
| AS3 | 90 | 91.8 | 6.5 | 7% | 3.2 | 3% | 0.0 | 0% | 7.2 | 8% | 7.4 | 8% | 10.3 | 11% |
| AS4 | 90 | 195.1 | 10.5 | 5% | 4.3 | 2% | 5.6 | 3% | 12.7 | 6% | 19.9 | 10% | 23.6 | 12% |
| AS5 | 90 | 11.5 | 0.6 | 6% | 0.2 | 2% | 0.2 | 2% | 0.7 | 6% | 0.9 | 8% | 1.2 | 10% |
| BV Score | | | SD | | SD | | SD | | SD | | SD | | SD | |
| AS1 | 90 | 0 | 0.2 | | 0.0 | | 0.1 | | 0.3 | | 0.0 | | 0.3 | |
| AS2 | 90 | 29 | 1.9 | | 0.0 | | 0.0 | | 1.9 | | 1.8 | | 2.7 | |
| AS3 | 90 | 81 | 1.6 | | 0.9 | | 0.2 | | 1.8 | | 2.4 | | 3.1 | |
| AS4 | 90 | 100 | 0.3 | | 0.1 | | 0.1 | | 0.4 | | 0.1 | | 0.4 | |
| AS5 | 90 | 89 | 0.7 | | 0.0 | | 0.0 | | 0.7 | | 0.6 | | 0.9 | |
*IP-10 in this sample is dosed below analytical measuring range
Table 4. Access MeMed BV Reproducibility Results for All Sites Combined on DxI 9000 Access Analyzer
| DxI 9000 | | | Repeatability | | Between Day | | Between Run | | Within Laboratory | | Between Site | | Reproducibility | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Panel | N | Mean | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| TRAIL (pg/mL) | | | | | | | | | | | | | | |
| AS1 | 90 | 214 | 4.6 | 2% | 0.0 | 0% | 2.2 | 1% | 5.1 | 2% | 4.4 | 2% | 6.7 | 3% |
| AS2 | 90 | 85 | 2.6 | 3% | 0.5 | 1% | 0.0 | 0% | 2.6 | 3% | 2.8 | 3% | 3.9 | 5% |
| AS3 | 90 | 41 | 0.8 | 2% | 0.1 | 0% | 0.6 | 1% | 1.0 | 2% | 0.6 | 2% | 1.2 | 3% |
| AS4 | 90 | 25 | 0.6 | 2% | 0.0 | 0% | 0.2 | 1% | 0.6 | 3% | 0.5 | 2% | 0.8 | 3% |
| AS5 | 90 | 21 | 0.4 | 2% | 0.1 | 0% | 0.1 | 1% | 0.4 | 2% | 0.5 | 2% | 0.7 | 3% |
| IP10 (pg/mL) | | | | | | | | | | | | | | |
| AS1 | 90 | 819 | 22.8 | 3% | 0.0 | 0% | 4.8 | 1% | 23.3 | 3% | 36.6 | 4% | 43.4 | 5% |
| AS2 | 90 | 195 | 4.2 | 2% | 1.6 | 1% | 0.7 | 0% | 4.6 | 2% | 7.6 | 4% | 8.9 | 5% |
| AS3 | 90 | 1854 | 52.6 | 3% | 6.9 | 0% | 17.1 | 1% | 55.7 | 3% | 55.8 | 3% | 78.9 | 4% |
| AS4 | 90 | 1140 | 15.6 | 1% | 0.0 | 0% | 10.7 | 1% | 19.0 | 2% | 30.2 | 3% | 35.7 | 3% |
| AS5* | 90 | <100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| CRP (mg/L) | | | | | | | | | | | | | | |
| AS1 | 90 | 4.5 | 0.1 | 3% | 0.0 | 0% | 0.0 | 0% | 0.1 | 3% | 0.2 | 4% | 0.2 | 5% |
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| AS2 | 90 | 47.1 | 1.8 | 4% | 0.3 | 1% | 0.0 | 0% | 1.8 | 4% | 1.0 | 2% | 2.1 | 4% |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AS3 | 90 | 93.2 | 3.6 | 4% | 0.0 | 0% | 2.0 | 2% | 4.1 | 4% | 3.2 | 3% | 5.2 | 6% |
| AS4 | 90 | 199.2 | 9.1 | 5% | 3.5 | 2% | 4.9 | 2% | 10.9 | 5% | 6.3 | 3% | 12.6 | 6% |
| AS5 | 90 | 11.0 | 0.3 | 3% | 0.1 | 1% | 0.1 | 1% | 0.4 | 3% | 0.2 | 2% | 0.4 | 4% |
| BV Score | | | SD | | SD | | SD | | SD | | SD | | SD | |
| AS1 | 90 | 0 | 0.0 | | 0.0 | | 0.0 | | 0.0 | | 0.0 | | 0.0 | |
| AS2 | 90 | 30 | 2.3 | | 0.6 | | 0.0 | | 2.4 | | 2.0 | | 3.1 | |
| AS3 | 90 | 84 | 1.3 | | 0.0 | | 0.4 | | 1.3 | | 0.0 | | 1.3 | |
| AS4 | 90 | 100 | 0.2 | | 0.1 | | 0.0 | | 0.2 | | 0.0 | | 0.2 | |
| AS5 | 90 | 89 | 0.5 | | 0.0 | | 0.2 | | 0.5 | | 0.4 | | 0.6 | |
*IP-10 in this sample is dosed below analytical measuring range
Results from the reproducibility study demonstrate acceptable reproducibility of the Access MeMed BV assay.
### ii. Within-laboratory Precision
A within-laboratory precision study was conducted on three Access 2 Immunoassay Systems and three DxI 9000 Access Immunoassay Analyzers. For each analyte, three reagent lots were evaluated, with each lot assigned to a single instrument, while one common calibrator lot was used across both platforms. Serum served as the primary specimen type, as established in the matrix equivalency study, which also demonstrated that lithium heparin plasma is equivalent to serum. Five samples spanning the measuring range of each assay were tested over 20 or more days with two runs per day, yielding a minimum of 80 replicates per sample per instrument and reagent lot combination. Commercial quality controls were run in duplicate each day to confirm system functionality. Within-laboratory Precision was characterized by using four variance components: repeatability (within-run), between-run, between-day, and within-laboratory (total). For the three analytes (IP-10 (pg/mL), TRAIL (pg/mL), and CRP (mg/L), imprecision is expressed as SD and percent coefficient of variation (%CV). For the BV Score, within-laboratory precision is expressed as standard deviation (SD). Representative data from one reagent lot on the Access 2 Immunoassay System and DxI 9000 are presented in Table 5 and Table 6, respectively.
Table 5. Within-laboratory Precision Study Results on the Access 2 Immunoassay System,
| Analyte | Sample (Mean Concentration) | Repeatability | | Between-Run | | Between-Day | | Within-Laboratory (Total) | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| TRAIL | Sample 1 (200 pg/mL) | 3.5 | 2% | 3.8 | 2% | 0.0 | 0.002% | 5.1 | 3% |
| | Sample 2 (83 pg/mL) | 1.8 | 2% | 1.4 | 2% | 0.0 | 0.003% | 2.3 | 3% |
| | Sample 3 (42 pg/mL) | 1.1 | 3% | 0.8 | 3% | 0.9 | 2% | 1.7 | 4% |
| | Sample 4 (24 pg/mL) | 0.8 | 3% | 0.0 | 3% | 0.3 | 1% | 0.8 | 3% |
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| | Sample 5 (21 pg/mL) | 0.6 | 3% | 0.0 | 3% | 0.2 | 1% | 0.6 | 3% |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| IP-10 | Sample 1 (720 pg/mL) | 25.9 | 4% | 0.0 | 0% | 24.0 | 3% | 35.4 | 5% |
| | Sample 2(181 pg/mL) | 4.2 | 2% | 2.8 | 2% | 7.0 | 4% | 8.6 | 5% |
| | Sample 3 (1874 pg/mL) | 45.0 | 2% | 59.8 | 3% | 80.4 | 4% | 109.8 | 6% |
| | Sample 4 (1066 pg/mL) | 30.6 | 3% | 13.0 | 1% | 29.6 | 3% | 44.5 | 4% |
| | Sample 5 (32 pg/mL) | 0.7 | 2% | 0.8 | 2% | 1.0 | 3% | 1.5 | 5% |
| CRP | Sample 1 (4.6 mg/L) | 0.1 | 3% | 0.2 | 4% | 0.0 | 0% | 0.3 | 5% |
| | Sample 2 (48.8 mg/L) | 2.2 | 5% | 2.4 | 5% | 0.0 | 0% | 3.2 | 7% |
| | Sample 3 (96.9 mg/L) | 3.6 | 4% | 5.7 | 6% | 3.7 | 4% | 7.7 | 8% |
| | Sample 4 (207.7 mg/L) | 12.9 | 6% | 10.9 | 5% | 0.0 | 0% | 16.9 | 8% |
| | Sample 5 (11.7 mg/L) | 0.4 | 4% | 0.5 | 4% | 0.3 | 2% | 0.7 | 6% |
| BV Score | Sample 1 (Score: 0) | 0.1 | N/A | 0.0 | N/A | 0.0 | N/A | 0.1 | N/A |
| | Sample 2 (Score: 33) | 1.7 | N/A | 1.7 | N/A | 0.0 | N/A | 2.4 | N/A |
| | Sample 3 (Score: 84) | 1.2 | N/A | 1.4 | N/A | 0.0 | N/A | 1.9 | N/A |
| | Sample 4 (Score: 100) | 0.2 | N/A | 0.0 | N/A | 0.0 | N/A | 0.2 | N/A |
| | Sample 5 (Score: 90) | 0.7 | N/A | 0.0 | N/A | 0.1 | N/A | 0.7 | N/A |
Table 6. Within-laboratory Precision Study Results, DxI 9000 Immunoassay Analyzer
| Analyte | Sample (Mean Concentration) | Repeatability | | Between-Run | | Between-Day | | Within-Laboratory (Total) | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| TRAIL | Sample 1 (213 pg/mL) | 3.7 | 2% | 2.8 | 1% | 0.0 | 0.002% | 4.7 | 2% |
| | Sample 2 (83 pg/mL) | 1.3 | 2% | 3.5 | 4% | 1.4 | 2% | 4.0 | 5% |
| | Sample 3 (41 pg/mL) | 0.7 | 2% | 1.5 | 4% | 0.0 | 0.003% | 1.7 | 4% |
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| | Sample 4 (25 pg/mL) | 0.4 | 1% | 0.4 | 2% | 0.3 | 1% | 0.6 | 3% |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Sample 5 (21 pg/mL) | 0.3 | 1% | 0.9 | 4% | 0.0 | 0.01% | 0.9 | 4% |
| IP-10 | Sample 1 (787 pg/mL) | 14.3 | 2% | 12.6 | 2% | 14.8 | 2% | 24.1 | 3% |
| | Sample 2 (193 pg/mL) | 4.1 | 2% | 7.6 | 4% | 6.4 | 3% | 10.7 | 6% |
| | Sample 3 (1806 pg/mL) | 36.1 | 2% | 110.8 | 6% | 0.1 | 0.01% | 116.6 | 6% |
| | Sample 4 (1105 pg/mL) | 15.6 | 1% | 10.5 | 1% | 16.0 | 1% | 24.7 | 2% |
| | Sample 5 (35 pg/mL) | 0.6 | 2% | 1.4 | 4% | 0.8 | 2% | 1.7 | 5% |
| CRP | Sample 1 (4.5 mg/L) | 0.1 | 3% | 0.0 | 0% | 0.1 | 1% | 0.1 | 3% |
| | Sample 2 (45.8 mg/L) | 1.7 | 4% | 2.9 | 6% | 0.0 | 0% | 3.3 | 7% |
| | Sample 3 (90.5 mg/L) | 4.6 | 5% | 5.4 | 6% | 0.0 | 0% | 7.1 | 8% |
| | Sample 4 (195.1 mg/L) | 8.6 | 4% | 5.7 | 3% | 0.0 | 0% | 10.3 | 5% |
| | Sample 5 (10.8 mg/L) | 0.3 | 3% | 0.6 | 5% | 0.3 | 3% | 0.7 | 7% |
| BV Score | Sample 1 (Score: 0) | 0.0 | N/A | 0.0 | N/A | 0.0 | N/A | 0.0 | N/A |
| | Sample 2 (Score: 31) | 1.2 | N/A | 2.5 | N/A | 0.2 | N/A | 2.8 | N/A |
| | Sample 3 (Score: 84) | 1.5 | N/A | 0.0 | N/A | 0.6 | N/A | 2.2 | N/A |
| | Sample 4 (Score: 100) | 0.1 | N/A | 0.0 | N/A | 0.0 | N/A | 0.1 | N/A |
| | Sample 5 (Score: 89) | 0.5 | N/A | 0.6 | N/A | 0.1 | N/A | 0.7 | N/A |
### iii. Linearity:
A linearity study was conducted for the Access MeMed BV. Testing evaluated all three analytes (TRAIL, IP-10, and CRP) on both the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer. The study was performed using serum and lithium heparin plasma samples, with an acceptance criterion of ±10% deviation from linearity. For each analyte, high and low samples were prepared to bracket the full analytical measuring range. Intermediate mixtures (six to seven depending on the analyte) were then generated by combining incrementally increasing proportions of the high sample with the low sample,
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producing a series of concentrations spanning the entire assay range. Sample preparation and study designs varied by analyte, as described below.
All three analytes met the ±10% acceptance criterion on both platforms, demonstrating that the Access MeMed BV assay is linear across the full analytical measuring range for TRAIL (15–300 pg/mL), IP-10 (100–2,000 pg/mL), and CRP (1.0–250 mg/L) on both the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer.
# iv. Analytical Specificity
# a. Interference:
An interference study was conducted to evaluate the potential impact of endogenous and exogenous substances on the Access MeMed BV assay. The interferents evaluated and their tested concentrations are listed in Table 7. Testing was performed on both the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer. For each interferent, a test sample containing the substance of interest was compared against a matched control sample without the interferent. When an interferent required dissolution in a solvent prior to spiking, an equivalent volume of solvent was added to the corresponding control sample to account for any solvent effect. Two serum samples were used in the study, one with a bacterial-score profile supplemented with CRP antigen, and one with a viral-score profile supplemented with TRAIL antigen. Five replicates of each test and control sample were analyzed per condition across six DxI 9000 Access Immunoassay Analyzers and seven Access 2 Immunoassay Systems, using three reagent pack lots per analyte and two calibrator sets. The acceptance criterion for all interferents was a bias of no more than ±12.5 BV Score units. The BV Score for each replicate was calculated from the corresponding CRP, IP-10, and TRAIL concentrations, and the difference in mean scores between the test and control samples was used to assess whether the acceptance criterion was met (Table 8 and Table 9).
Rheumatoid factor (RF) interference was evaluated using an additional approach. RF results from the Access MeMed BV assay on both platforms were compared against those from the MeMed Key device since no RF interference at the tested concentration was observed in the original clearance of the device. One native low-score serum sample and one native high-score serum sample were evaluated across all platforms to determine whether RF produced a differential effect. Results demonstrate that none of the evaluated endogenous or exogenous substances produced a clinically significant impact on Access MeMed BV assay BV Score values.
Table 7. Interfering Substances Evaluated
| Substance | Highest Concentration Added |
| --- | --- |
| Acetaminophen (paracetamol) | 0.156 mg/mL |
| Acetylsalicylic acid (aspirin) | 0.03 mg/mL |
| Alcohol (ethanol) | 0.5% V/V |
| Amoxicillin | 54 μg/mL |
| Ampicillin | 75 μg/mL |
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| Azithromycin | 11.1 μg/mL |
| --- | --- |
| Bilirubin (conjugated) | 0.4 mg/ml |
| Bilirubin (unconjugated) | 0.4 mg/ml |
| Biotin | 3,510 ng/mL |
| Caffeine | 108 μg/mL |
| Cetirizine HCL | 4.35 μg/mL |
| Dextromethorphan | 15.6 ng/ml |
| Doxycycline | 18 μg/mL |
| HAMA (human anti-mouse Ab) | 360 ng/ml |
| Hemoglobin | 10 mg/mL |
| Heparin | 3,300 U/L |
| Human serum albumin (HSA) | 60 mg/ml |
| Ibuprofen | 219 μg/mL |
| Levofloxacin | 36 μg/mL |
| Loratadine | 87 ng/mL |
| Nicotine | 969 ng/mL |
| Oxymetazoline HCl | 0.0006 μg/mL |
| Phenylephrine | 30 ng/mL |
| Prednisolone | 1,200 ng/mL |
| Rheumatoid Factor (RF) | 500 IU/mL |
| Triglycerides (Triolein) | 15 mg/mL |
Table 8. Access 2 Immunoassay System Interfering Substance Bias Summary
| Interferent | Concentration | Bias Range (3 lots) | |
| --- | --- | --- | --- |
| | | Low-Score | High-Score |
| Acetaminophen | 0.156 mg/mL | −0.6 to 0.0 | −0.4 to 0.0 |
| Acetyl Salicylic Acid | 0.03 mg/mL | −0.6 to 0.2 | 0.0 to 0.6 |
| Alcohol | 0.5% V/V | −0.6 to 0.0 | 0.0 to 0.2 |
| Amoxicillin | 54 μg/mL | −0.2 to 0.2 | 0.2 to 0.4 |
| Ampicillin | 75 μg/mL | 0.0 to 0.2 | −0.4 to 0.6 |
| Azithromycin | 11.1 μg/mL | 0.4 to 0.6 | −0.2 to 0.6 |
| Bilirubin (conjugated) | 0.4 mg/mL | −0.4 to 2.8 | −1.6 to 0.0 |
| Bilirubin (unconjugated) | 0.4 mg/mL | −7.4 to −3.8 | −1.0 to −0.4 |
| Biotin | 3510 ng/mL | 0.0 to 1.0 | −0.2 to 0.0 |
| Caffeine | 108 μg/mL | −1.0 to 0.8 | −0.4 to 0.0 |
| Cetirizine HCl | 4.35 μg/mL | 1.0 to 1.6 | 0.0 to 0.2 |
| Dextromethorphan | 15.6 ng/mL | −0.4 to 0.6 | −0.2 to 0.2 |
| Doxycycline | 18 μg/mL | 0.8 to 1.4 | 0.2 to 0.8 |
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| HAMA | 360 ng/mL | −0.2 to 0.8 | −0.4 to 0.0 |
| --- | --- | --- | --- |
| Hemoglobin | 10 mg/mL | 0.2 to 1.2 | 0.0 to 0.2 |
| Heparin | 3300 U/L | −0.8 to 0.4 | −0.6 to 0.0 |
| Human Serum Albumin | 60 mg/mL | −0.6 to 0.6 | 0.0 to 0.8 |
| Ibuprofen | 219 μg/mL | −1.2 to −0.4 | −0.6 to 0.0 |
| Levofloxacin | 36 μg/mL | −0.2 to 0.0 | 0.0 to 0.2 |
| Loratadine | 87 ng/mL | −0.8 to 0.4 | −1.0 to 0.2 |
| Nicotine | 969 ng/mL | −0.6 to 0.0 | −0.2 to 0.0 |
| Oxymetazoline HCl | 0.0006 μg/mL | −0.6 to 0.0 | −0.4 to 0.0 |
| Phenylephrine | 30 ng/mL | −1.2 to −0.2 | −0.8 to 0.0 |
| Prednisolone | 1200 ng/mL | −0.2 to 0.0 | 0.0 to 0.2 |
| Rheumatoid Factor | 500 IU/mL | −0.6 to 0.0 | −1.0 to −0.4 |
| Triglycerides/Triolein | 15 mg/mL | −0.8 to −0.4 | −0.8 to 0.0 |
Table 9. DxI 9000 Access Immunoassay Analyzer Interfering Substance Bias Summary
| Interferent | Concentration | Bias Range (3 lots) | |
| --- | --- | --- | --- |
| | | Low-Score | High-Score |
| Acetaminophen | 0.156 mg/mL | 0.2 to 1.0 | 0.0 to 0.4 |
| Acetyl Salicylic Acid | 0.03 mg/mL | −0.4 to 1.0 | −0.2 to 0.0 |
| Alcohol | 0.5% V/V | 0.0 to 0.6 | −0.2 to 0.0 |
| Amoxicillin | 54 μg/mL | 0.2 to 0.8 | 0.0 to 0.4 |
| Ampicillin | 75 μg/mL | −0.2 to 0.2 | 0.0 to 0.4 |
| Azithromycin | 11.1 μg/mL | 0.4 to 0.6 | 0 |
| Bilirubin (conjugated) | 0.4 mg/mL | 0.6 to 0.8 | −0.2 to 0.0 |
| Bilirubin (unconjugated) | 0.4 mg/mL | −1.8 to 1.8 | −0.2 to 0.8 |
| Biotin | 3510 ng/mL | 0.2 to 0.4 | 0.2 to 0.4 |
| Caffeine | 108 μg/mL | 1.2 to 1.4 | −0.2 to 0.2 |
| Cetirizine HCl | 4.35 μg/mL | −0.4 to 0.6 | −0.2 to 0.6 |
| Dextromethorphan | 15.6 ng/mL | 0.0 to 0.8 | 0.0 to 0.2 |
| Doxycycline | 18 μg/mL | 1.2 to 2.2 | 0.2 to 0.8 |
| HAMA | 360 ng/mL | −0.4 to 0.6 | −0.4 to 0.4 |
| Hemoglobin | 10 mg/mL | 0.0 to 1.4 | 0.0 to 0.2 |
| Heparin | 3300 U/L | −0.2 to 0.4 | −0.2 to 0.0 |
| Human Serum Albumin | 60 mg/mL | −0.6 to −0.2 | 0.0 to 0.4 |
| Ibuprofen | 219 μg/mL | 0.0 to 1.2 | 0.0 to 0.4 |
| Levofloxacin | 36 μg/mL | 0.2 to 1.4 | 0.0 to 0.2 |
| Loratadine | 87 ng/mL | −0.4 to 0.4 | −0.2 to 0.0 |
| Nicotine | 969 ng/mL | 0.2 to 0.6 | −0.2 to 0.0 |
| Oxymetazoline HCl | 0.0006 μg/mL | 0.2 to 0.6 | 0.0 to 0.4 |
| Phenylephrine | 30 ng/mL | 0.0 to 0.6 | 0.0 to 0.4 |
| Prednisolone | 1200 ng/mL | −0.4 to 0.6 | −0.2 to 0.0 |
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| Rheumatoid Factor | 500 IU/mL | -0.4 to 0.4 | -1.0 to -0.6 |
| --- | --- | --- | --- |
| Triglycerides/Triolein | 15 mg/mL | -0.2 to 0.6 | -0.2 to 0.0 |
These data demonstrate that the presence of commonly encountered interferents does not significantly alter the Access MeMed BV score.
### b. Cross-reactivity
A cross-reactivity study was performed to evaluate the potential impact of structurally related substances on the Access MeMed BV assay. Testing was performed on both the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer. Each potential cross-reactant was tested at a concentration of 50 ng/mL in two native serum samples prepared to represent clinically relevant score ranges: a low-score serum sample (BV Score 5, indicative of a likely viral infection) supplemented with TRAIL antigen, and a high-score serum sample (BV Score 94, indicative of a likely bacterial infection) supplemented with CRP antigen. Control samples were prepared identically using solvent only, without the cross-reactant. Test and control samples were analyzed on three DxI 9000 Access Immunoassay Analyzers and three Access 2 Immunoassay Systems, using three reagent lots per analyte and one calibrator lot. The BV Score for each replicate was calculated from the corresponding CRP, IP-10, and TRAIL concentrations, and the difference in mean scores between test and control samples was used to assess cross-reactivity. The acceptance criterion for all cross-reactants was a bias of no more than ±12.5 BV Score units. The cross-reactants evaluated, organized by analyte, are listed in Table 10. All samples met acceptance criteria for the Access MeMed BV assay on the DxI 9000 Access Immunoassay Analyzer and Access 2 Immunoassay System.
Table 10. Potential Cross-reactants Evaluated
| TRAIL Cross-reactants – Substances evaluated at 50 ng/mL | |
| --- | --- |
| 4-1BB Ligand | TNF-\( \alpha \) |
| CD40 Ligand | TNF-\( \beta \) |
| LT \( \alpha \)1/\( \beta \)2 | Adiponectin |
| LT \( \alpha \)2/\( \beta \)1 | |
| IP-10 Cross-reactants – Substances evaluated at 50 ng/mL | |
| BLC/BCA-1 | IL-8 |
| ENA-78 | I-TAC |
| GCP-2 | NAP-2 |
| GRO\( \alpha \) | MIG |
| GRO\( \gamma \) | SDF-1\( \alpha \) |
| IFN\( \gamma \) | SDF-1\( \beta \) |
| CRP Cross-reactants – Substances evaluated at 50 ng/mL | |
| Pentraxin 2/SAP | Pentraxin 3/TSG-14 |
### c. Hook Effect Study
A study was performed to determine whether a high-dose hook effect occurs when samples containing analyte concentrations substantially exceed the upper limit of the analytical measuring range. Testing was performed on the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer. Samples containing analyte levels exceeding the upper
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end of the analytical measuring range were evaluated using three reagent lots and one calibrator lot, with five replicates tested per sample preparation. All samples demonstrated an increasing amount of chemiluminescence with increasing concentration of analyte. No hook effect was observed for TRAIL up to 1,000 pg/mL, IP-10 up to 10,000 pg/mL, and CRP up to 500 mg/L on either platform.
# v. Detection Limit and Assay Reportable Range:
# a. Limit of Blank
Studies were performed to determine the Limit of Blank (LoB), Testing was performed using a protocol based on CLSI EP17- A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline – Second Edition on one Access 2 Immunoassay System and one DxI 9000 Access Immunoassay Analyzer using three reagent pack lots per analyte and one calibrator lot. Four blank samples were used for the LoB determination. Samples were tested over three days with one run per day and five replicates per run per reagent lot, yielding a total of 60 results per reagent lot. The LoB was calculated using a non-parametric approach with the 95th percentile of the blank replicate distribution used as the LoB estimate. Results are summarized in Table 11.
Table 2. Limit of Blank Results Summary
| Limit of Blank (LoB) | Maximum Observed Result | Design Criteria |
| --- | --- | --- |
| TRAIL | for DxI 9000 TRAIL 0.2 pg/mL | < 15 pg/mL |
| | for Access 2 TRAIL 0.37 pg/mL | |
| IP-10 | for DxI 9000 IP-10 0.017 pg/mL | ≤100 pg/mL |
| | for Access 2 IP-10 0.6 pg/mL | |
| CRP | for DxI 9000 CRP 0.002 mg/L | ≤1.0 mg/L |
| | for Access 2 CRP 0.0 mg/L | |
# b. Limit of Detection
Studies were conducted to determine the Limit of Detection (LoD) of the Access MeMed BV assay. Testing was performed according to CLSI EP17- A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline – Second Edition on both the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer. Seven samples containing low levels of each analyte were evaluated across both serum and lithium heparin plasma specimen types. For IP-10 and TRAIL, low concentrations were achieved by stripping native samples of the antigen, except for one serum sample for IP-10 that was naturally low in antigen. For CRP, all seven samples for both specimen types were native samples at naturally low concentrations, requiring no additional preparation. Samples were tested in replicates of nine per run, with one run per day over five days per reagent lot, yielding a minimum of 40 replicates per sample per reagent lot. Commercial quality controls were run in duplicate each day to confirm systems performance. The within-laboratory standard deviation (SD) was calculated for the five lowest-concentration samples per reagent lot, platform, and specimen type. A precision profile was generated by fitting a linear regression model to the within-laboratory SD versus mean sample concentration. When the linear term was statistically significant, the fitted SD at the lowest tested concentration was used to compute the LoD using the CLSI EP17-A2 LoD equation. When the regression was not significant, the LoD was instead calculated using the pooled SD across the same five low-
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level samples. In all cases, the highest LoB observed for that analyte across the verification study was used in the LoD calculation.
All observed LoD values across both platforms and both specimen types fell well below the pre-specified acceptance criteria, CRP ≤ 1.0 mg/L, IP-10 ≤ 100 pg/mL, and TRAIL ≤ 15 pg/mL, confirming that the analytical sensitivity of the Access MeMed BV assay met the required performance specifications on both the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer (Table 12).
Table 3. Limit of Detection (LoD) Results Summary
| Limit of Detection (LoD) | Maximum Observed Result | Design Criteria |
| --- | --- | --- |
| TRAIL | for DxI 9000 TRAIL Plasma 0.5 pg/mL | < 15 pg/mL |
| | for DxI 9000 TRAIL Serum 0.5 pg/mL | |
| | for Access 2 TRAIL Plasma 0.7 pg/mL | |
| | for Access 2 TRAIL Serum 0.7 pg/mL | |
| IP-10 | for DxI 9000 IP-10 Plasma 0.23 pg/mL | ≤100 pg/mL |
| | for DxI 9000 IP-10 Serum 0.07 pg/mL | |
| | for Access 2 IP-10 Plasma 0.93 pg/mL | |
| | for Access 2 IP-10 Serum 0.77 pg/mL | |
| CRP | for DxI 9000 CRP Plasma 0.007 mg/L | ≤1.0 mg/L |
| | for DxI 9000 CRP Serum 0.004 mg/L | |
| | for Access 2 CRP Plasma 0.008 mg/L | |
| | for Access 2 CRP Serum 0.012 mg/L | |
# c. Limit of Quantitation (LoQ)
A study was conducted to determine the Limit of Quantitation (LoQ) of the Access MeMed BV assay. Testing was performed in accordance with a protocol based on CLSI EP17-A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline – Second Edition on one Access 2 Immunoassay System and one DxI 9000 Access Immunoassay Analyzer per study, using three reagent lots and one calibrator lot per analyte. Seven samples containing low levels of each analyte were evaluated across both serum and lithium heparin plasma specimen types. For IP-10 and TRAIL, low concentrations were achieved by stripping native samples of the antigen, except for one serum sample for IP-10 that was naturally low in antigen. For CRP, all seven samples for both specimen types were native samples at naturally low concentrations, requiring no additional preparation. Samples were tested in replicates of nine per run, with one run per day over five days per reagent lot, yielding a minimum of 40 replicates per sample per reagent lot. Commercial quality controls were run in duplicate each day to confirm that the systems were in control. A variance components model was used to estimate the within run and within laboratory (total) %CV for each sample on each instrument and reagent lot combination. A log-log quadratic precision profile model was fitted to within-laboratory (total) %CV versus observed sample mean. The fitted precision profile was used to calculate the 20% CV LoQ. When the fitted precision profile remains below the 20% CV threshold throughout the range of samples tested, the LoQ is conservatively estimated as the minimum observed mean concentration across the samples. The maximum observed LoQ is taken as the reported value for the measurement procedure. The acceptance criteria were a 20% within-laboratory CV at or below the following concentrations: IP-10 ≤ 100 pg/mL, TRAIL ≤ 15 pg/mL, and CRP ≤ 1.0 mg/L. It should be noted that for CRP, the samples tested were not sufficiently low in concentration to allow a
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meaningful fit of the precision profile model; therefore, the lowest measured sample concentration was reported as a conservative LoQ estimate for both platforms and specimen types. All analytes met the acceptance criteria on both platforms. The determined LoQ values are summarized in Table 13 and Table 14.
Table 4. Limit of Quantitation per analyte per instrument
| Limit of Quantitation (LoQ) ≤ 20% within- lab CV | Maximum Observed Result | Design Criteria |
| --- | --- | --- |
| TRAIL | for DxI 9000 TRAIL Plasma 3 pg/mL | < 15 pg/mL |
| | for DxI 9000 TRAIL Serum 2 pg/mL | |
| | for Access 2 TRAIL Plasma 2 pg/mL | |
| | for Access 2 TRAIL Serum 2 pg/mL | |
| IP-10 | for DxI 9000 IP-10 Plasma 4 pg/mL | ≤100 pg/mL |
| | for DxI 9000 IP-10 Serum 1 pg/mL | |
| | for Access 2 IP-10 Plasma 3 pg/mL | |
| | for Access 2 IP-10 Serum 1 pg/mL | |
| CRP | for DxI 9000 CRP Plasma 0.07 mg/L | ≤1.0 mg/L |
| | for DxI 9000 CRP Serum 0.03 mg/L | |
| | for Access 2 CRP Plasma 0.07 mg/L | |
| | for Access 2 CRP Serum 0.02 mg/L | |
Table 5 Limit of Quantitation across all platforms and matrices
| Limit of Quantitation (LoQ) ≤ 20% within- lab CV | Maximum Observed Result | Design Criteria |
| --- | --- | --- |
| TRAIL | 3 pg/mL | ≤ 15 pg/mL |
| IP-10 | 4 pg/mL | ≤ 100 pg/mL |
| CRP | 0.07 mg/L | ≤1.0 mg/L |
vi. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
Calibration Interval/Open Pack Stability Study
A study was conducted to verify the reagent open pack stability and calibration interval stability of the Access MeMed BV assay under the recommended open pack storage conditions (2–10°C). Testing was performed according to recommendations in CLSI EP25-Ed2, Evaluation of Stability of In Vitro Medical Laboratory Test Diagnostic Reagent. For each assay analyte, five conditions were evaluated across three unique reagent pack lots. Two lots were stored under recommended pack storage conditions for the duration of the study. The third lot was divided into three portions prior to testing: one portion was subjected to simulated summer shipping conditions, one portion was subjected to simulated winter shipping conditions, and one portion remained under standard storage conditions without any simulated shipping stress. Twelve serum samples were tested at 10 time points, spanning from baseline (t=0) through Day 28 and Day 31. A single calibration curve was established at baseline and held constant throughout the study. Mean doses were calculated at each time point and analyzed by linear regression to predict percent drift from baseline at Day 28 and Day 31. Acceptance criteria
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required a calibration interval and open pack stability of at least 28 days for all three analytes, with drift limits of ±7% for CRP and TRAIL and ±10% for IP-10.
All three analytes passed their respective drift criteria at both Day 28 and Day 31, across both instrument platforms and all reagent lot conditions, including packs subjected to simulated shipping stress. The data supports a 28-day Open Pack and Calibration Interval Stability claim for the Access MeMed BV assay on the Access 2 Immunoassay System and the DxI 9000 Access Immunoassay Analyzer.
# Sample Stability
Several studies were performed to assess the stability of serum and lithium heparin plasma samples exposed to different storage conditions.
# a. Refrigerated Sample Storage Stability (2°C–10°C)
A study was conducted to evaluate the stability of serum and lithium heparin plasma samples stored under refrigerated conditions for use with the Access MeMed BV assay. Seven serum and six lithium heparin plasma samples, with analyte concentrations spanning the analytical measuring range of the assay, were tested across four Access 2 Immunoassay Systems using one reagent pack lot per analyte and one calibrator lot. Samples were aliquoted and stored at 2°C to 10°C. One aliquot per sample was tested immediately after collection to establish baseline values (t=0), with subsequent testing performed at 2, 4, and 5 hours. Each individual sample was tested in triplicate on the same instrument. Two quality controls were run each day to verify instrument performance. Stability was assessed by comparing the mean BV Score at each time point against the baseline value. Results were evaluated against an acceptance criterion of ±12.5 BV Score units from baseline. Study results are summarized in Table 15 below. All samples met the acceptance criterion through the four-hour time point, supporting a refrigerated sample storage stability claim of up to four hours at 2°C–10°C.
Table 15: Sample Stability Study Results
| Temperature (2°C – 10°C) | Mean score difference between T0 and storage conditions | | |
| --- | --- | --- | --- |
| | 2 hr | 4 hr | 5 hr |
| Serum (Score) | 1.8 | 2.0 | 3.1 |
| Plasma (Score) | 1.0 | 1.7 | 1.4 |
# b. Room temperature Sample Storage Stability (20°C to 25°C)
A sample stability study was conducted to evaluate the handling and storage of patient samples for the Access MeMed BV assay at room temperature (20°C to 25°C). Two sample matrix types were evaluated: serum and lithium heparin plasma. Twelve samples with analyte concentrations spanning the analytical measuring range of the assay were tested — six serum samples (four native, two antigen-supplemented) and six lithium heparin plasma samples (four native, two antigen-supplemented). Sample stability was assessed at 25°C (the upper limit of the room temperature claim) at three time points: 1 hour, 2 hours, and 3 hours. One aliquot from each sample was tested immediately to establish a mean baseline BV Score at time zero (T0); remaining aliquots were stored at 25°C for each pre-determined duration before testing. The study was conducted on four Access 2 Immunoassay Systems using one reagent pack lot per analyte and one calibrator lot. Each unique sample was tested across all time points on the same instrument to minimize inter-instrument variability. Two quality control samples were
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run in duplicate each day to confirm that the systems were in control. For each sample at each time point, the mean of the two BV Score values was calculated and compared to the T0 baseline to determine the score difference. The mean score difference from baseline was then calculated across all samples at each time point and compared against the acceptance criterion of a mean score difference within ±12.5 score units. The acceptance criterion for sample stability was ≥2 hours at 20°C to 25°C. Both serum and lithium heparin plasma samples met the ±12.5 score unit acceptance criterion at all three time points tested. Mean score differences from baseline are summarized in Table 16. All values remained well within the ±12.5 score unit limit through 3 hours, supporting the product claim that patient samples, in both serum and lithium heparin plasma matrices can be stored for up to 2 hours at room temperature (20°C to 25°C).
Table 16. Room Temperature Sample Stability Study Results
| Room Temperature (20-25°C) | Mean score difference between T0 and storage conditions | | |
| --- | --- | --- | --- |
| | 1 hr | 2 hr | 3 hr |
| Serum | 0.5 | 1.9 | 3.7 |
| Lithium Heparin Plasma | 0.7 | 0.8 | 2.0 |
# c. Short-Term Frozen Sample Stability (–15°C to –30°C)
A study was conducted to evaluate the stability of serum and lithium heparin plasma samples stored under short-term frozen conditions for use with the Access MeMed BV assay. Thirteen samples, seven serum (4 native, 3 antigen-supplemented) and six lithium heparin plasma (4 native, 2 antigen-supplemented), with analyte concentrations spanning the analytical measuring range of the assay were evaluated. Each sample was aliquoted and stored at –15°C, then tested in replicates of two at predefined time points using one reagent pack lot per analyte and one calibrator lot. All aliquots from each individual sample were analyzed on the same Access 2 Immunoassay System, with three instruments used across the overall study. Two quality controls were run in duplicate each day. Stability was assessed by calculating the mean BV Score difference from baseline across all samples at each time point and comparing the results against an acceptance criterion of ±12.5 BV Score units from baseline. All samples met the acceptance criterion through the final time point, supporting a short-term frozen sample storage stability claim of at least 30 days at –15°C to –30°C for both serum and lithium heparin plasma specimen types (Table 17).
Table 6. Frozen Sample Stability Results Summary
| Frozen Storage (–15°C to –30°C) | Mean Score Difference Between T0 and Storage Conditions | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 2 days | 3 days | 7 days | 10 days | 20 days | 22 days | 24 days | 30 days | 34 days |
| Serum* | 1.1 | 0.5 | 4.3 | 2.5 | 3.1 | 3.9 | 4.8 | 3.2 | 4.3 |
| Lithium Heparin Plasma | 2.7 | 1.4 | 2.6 | 2.4 | 2.7 | 3.1 | 3.2 | 3.0 | 3.0 |
| Short Term Frozen Temperature (–15°C to –30°C) | Mean Score Difference Between T0 and Storage Conditions | | | | | | | | |
| | 5 days | 11 days | 13 days | 15 days | 19 days | 22 days | 25 days | 33 days | |
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| Serum* | 0.0 | 3.0 | 1.3 | 1.7 | 1.2 | 2.0 | 3.5 | 2.8 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
*Serum samples were split between two studies with different start dates.
### d. Long-Term Frozen Sample Storage Stability ( \( -65^{\circ}C \) )
A study was conducted to evaluate the long-term stability of samples stored under frozen conditions for use with the Access MeMed BV assay. Seven serum and six lithium heparin plasma samples, with analyte concentrations spanning the analytical measuring range of the assay, were used for this evaluation. Baseline measurements were first established for each sample, after which aliquots were stored at \(-65^{\circ}\mathrm{C}\) or below. At predefined time points, aliquots were retrieved and tested in triplicate using one reagent pack lot per analyte and one calibrator lot. All aliquots from each individual sample were analyzed on the same Access 2 Immunoassay System, with two instruments used across the overall study. Two quality controls were run in duplicate each day to confirm that the system was in control. Stability was assessed by calculating the mean BV Score difference from baseline for each sample at each time point and comparing the results against an acceptance criterion of \(\pm 12.5\) BV Score units from baseline. All samples met the acceptance criterion through the final time point, supporting a long-term frozen sample storage stability claim of up to 282 days at \(-65^{\circ}\mathrm{C}\) or below for both serum and lithium heparin plasma specimen types (Table 18).
Table 18. Sample Stability (-65°C) Results Summary
| Sample Type | Mean Score Difference from T0 | | | | Specification |
| --- | --- | --- | --- | --- | --- |
| | T0(Day 0) | T1(Day 87) | T2(Day 189) | T3(Day 282) | |
| Serum | 0 | 1.4 | -0.7 | 0.1 | +/-12.5 |
| Lithium Heparin Plasma | 0 | 0.9 | -1.3 | 0.7 | +/-12.5 |
### e. Freeze/Thaw Stability
A study was conducted to evaluate the effect of freeze-thaw cycling on Access MeMed BV assay using both serum and lithium heparin plasma specimen types. Forty-four samples, twenty-two serum and twenty-two lithium heparin plasma with analyte concentrations spanning the full analytical measuring range of the assay were evaluated. Of the serum samples, 14 were native and 8 were supplemented with antigen; of the lithium heparin plasma samples, 15 were native and 7 were supplemented with antigen. Baseline BV Score measurements (t=0) were established for each sample immediately after collection. Each sample was then aliquoted and frozen at \(-20^{\circ}\mathrm{C}\). Aliquots were subsequently subjected to one or two freeze-thaw cycles, each consisting of thawing at room temperature followed by re-freezing at \(-20^{\circ}\mathrm{C}\). After completion of the respective cycling, each aliquot was tested in duplicate using one reagent pack lot per analyte and one calibrator lot. Three Access 2 Immunoassay Systems were used across the study. All aliquots from each individual sample were analyzed on the same instrument to minimize between-instrument variability. Two quality controls were run in duplicate each day to confirm system performance. The mean BV Score of the two replicates was calculated for each sample and its corresponding aliquots after one and two freeze-thaw cycles. The mean score difference from baseline was then calculated across all samples at each cycle and compared against an acceptance criterion of \(\pm 12.5\) BV Score units. Both serum and lithium heparin plasma met the acceptance criterion at both time
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points, with the two-cycle data serving as one cycle beyond the product claim. These results support a freeze-thaw stability claim of at least one cycle at -20°C for both specimen types.
# f. Fresh vs. Frozen Stability
Equivalence between fresh and frozen specimens was established using data from the first freeze-thaw cycle of the freeze-thaw stability study described above. Fresh samples were tested immediately after collection to establish baseline values, then frozen at -20°C, thawed at room temperature, and re-tested in duplicate. The mean BV Score difference from baseline after one freeze-thaw cycle was calculated across all samples and compared against the same acceptance criterion of ±12.5 BV Score units. Results were well within the acceptance criterion for both serum (mean difference: 1.2) and lithium heparin plasma (mean difference: 2.6), demonstrating that fresh and frozen samples produce equivalent results and can be used interchangeably with the Access MeMed BV assay.
# vii. Assay Cut-Off:
Not applicable
# B Comparison Studies:
# i. Method Comparison with Predicate Device:
A clinical validation study for the Access MeMed BV assay was performed by comparing results generated on the Access 2 immunoassay System and the DxI 9000 Immunoassay Analyzer to those obtained using the FDA cleared predicate MeMed BV assay run on the MeMed Key device. Testing was conducted across three external clinical sites. Samples were collected from pediatric and adult patients presenting to the Emergency Department or Urgent Care Center with signs and symptoms consistent with suspected acute bacterial or viral infection. Sample collection was carried out at four enrollment sites and through two external vendors, together representing multiple geographic locations and U.S. demographic diversity. A total of 423 serum samples were collected for this study. The target sample size was divided into two cohorts: a pediatric cohort (>90 days to <18 years of age; target n=30) and an adult cohort (≥18 years of age; target n=214).
The primary analysis evaluated quantitative agreement between the Access MeMed BV assay run on both the Access 2 Immunoassay System and DxI 9000 Access Immunoassay Analyzer and the predicate MeMed Key device. Agreement was assessed for each of the three individual analytes (CRP, IP-10, and TRAIL) as well as the composite BV Score. Weighted Deming regression was applied for the individual analytes, and Deming regression was applied for the BV Score. Both analyses generated slope and intercept estimates with 95% confidence intervals, along with Spearman correlation coefficients (Table 19). Predicted bias was additionally calculated at the four medical decision bin cutoff points (score values of 10, 35, 65, and 90). A secondary analysis assessed method concordance by calculating bin-level percent agreement and non-adjacent bin disagreement rates across the five BV Score interpretation bins. Serum samples spanning the analytical measuring range for each analyte were included: CRP (1–250 mg/L), IP-10 (100–2,000 pg/mL), TRAIL (15–300 pg/mL), and BV Score (0–100). A total of 396 samples were tested on the DxI 9000 Access Immunoassay Analyzer, and 399 samples were tested on the Access 2 Immunoassay System. Samples with results falling outside the analytical measuring range for a given analyte were excluded from
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that analyte's individual regression analysis but were retained in the BV Score analysis. Both the Access 2 Immunoassay System and DxI 9000 Access Immunoassay Analyzer met all pre-specified acceptance criteria for CRP, IP-10, TRAIL, and the BV Score. Spearman correlation coefficients exceeded 0.95 for all analytes on both platforms, and absolute biases at all defined bin cutoff points remained within acceptable limits (Table 19, Table 20, Table 22, Table 23). Method concordance results similarly demonstrated strong overall agreement between both Access platforms and the predicate MeMed Key device (Table 21 and Table 24).
Table 19. Predicate Comparison: Linear Regression Analysis of Access MeMed BV Analyte and Score Values on the DxI 9000 Access Immunoassay Analyzer
| Analyte | N | Range | Slope (95% CI) | Y-intercept (95% CI) | R (Spearman) | R2 (Spearman) |
| --- | --- | --- | --- | --- | --- | --- |
| TRAIL | 358 | 15-292 pg/mL | 1.13 (1.09 to 1.17) | -7.24 (-9.37 to -5.12) | 0.97 | 0.94 |
| IP-10 | 235 | 104-1986 pg/mL | 1.09 (1.05 to 1.13) | 12.34 (3.08 to 21.60) | 0.98 | 0.95 |
| CRP | 346 | 1-240 mg/L | 1.08 (1.06 to 1.11) | -0.18 (-0.30 to -0.06) | 0.99 | 0.98 |
| Score | 396 | 0-100 | 1.03 (1.01 to 1.04) | -0.27 (-0.84 to 0.30) | 0.98 | 0.97 |
Table 20. Predicate Comparison: Bias at Bin Cutoff for Access MeMed BV Score on the DxI 9000 Access Immunoassay Analyzer
| Bin Cutoff | N |
| --- | --- |
| 10 | 0.02 |
| 35 | 0.62 |
| 65 | 1.39 |
| 90 | 2.03 |
Table 7. Bin Concordance with the Predicate for the Access MeMed BV assay on the DxI 9000 Access Immunoassay Analyzer
| Access MeMed BV Score Interpretation | MeMed BV Score Interpretation | | | | |
| --- | --- | --- | --- | --- | --- |
| | High likelihood of viral infection (or other non-bacterial etiology) | Moderate likelihood of viral infection (or other non-bacterial etiology) | Equivocal | Moderate likelihood of bacterial infection (or co-infection) | High likelihood of bacterial infection (or co-infection) |
| High likelihood of viral infection (or other non- | 156 | 14 | 0 | 0 | 0 |
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| bacterial etiology) | | | | | |
| --- | --- | --- | --- | --- | --- |
| Moderate likelihood of viral infection (or other non-bacterial etiology) | 7 | 68 | 8 | 0 | 0 |
| Equivocal | 0 | 13 | 31 | 9 | 1 |
| Moderate likelihood of bacterial infection (or co-infection) | 0 | 0 | 6 | 24 | 1 |
| High likelihood of bacterial infection (or co-infection) | 0 | 0 | 0 | 10 | 48 |
| TOTAL | 163 | 95 | 45 | 43 | 50 |
| Bin agreement | 95.7% (156/163) | 71.6% (68/95) | 68.9% (31/45) | 55.8% (24/43) | 96.0% (48/50) |
| Overall Agreement | 82.6% (327/396) 95% CI: 78.5% - 86% | | | | |
| Overall Adjacent Bin (±1 bin) Agreement | 99.7% (395/396) 95% CI: 98.6% - 100% | | | | |
Table 22. Predicate Comparison: Linear Regression Analysis of Access MeMed BV Analyte and Score Values on the Access 2 Immunoassay System analyzer
| Analyte | N | Range | Slope (95% CI) | Y-intercept (95% CI) | R (Spearman) | R2 (Spearman) |
| --- | --- | --- | --- | --- | --- | --- |
| TRAIL | 359 | 17-300 pg/mL | 1.13 (1.09 to 1.16) | -6.07 (-8.07 to -4.07) | 0.97 | 0.94 |
| IP-10 | 237 | 106-1998 pg/mL | 1.15 (1.11 to 1.19) | 2.19 (-6.93 to 11.31) | 0.98 | 0.95 |
| CRP | 351 | 1-236 mg/L | 1.07 (1.04 to 1.10) | -0.11 (-0.21 to -0.00) | 0.99 | 0.98 |
| Score | 399 | 0-100 | 1.02 (1.00 to 1.03) | -0.82 (-1.40 to -0.24) | 0.98 | 0.96 |
Table 23. Predicate Comparison: Bias at Bin Cutoff for Access MeMed BV Score on the Access 2 Immunoassay System analyzer
| Bin Cutoff | N |
| --- | --- |
| 10 | 0.67 |
| 35 | 0.27 |
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| 65 | 0.21 |
| --- | --- |
| 90 | 0.60 |
Table 8. Method Concordance on Access 2 Immunoassay System
| Access MeMed BV Score Interpretation | MeMed BV Score Interpretation | | | | |
| --- | --- | --- | --- | --- | --- |
| | High likelihood of viral infection (or other non-bacterial etiology) | Moderate likelihood of viral infection (or other non-bacterial etiology) | Equivocal | Moderate likelihood of bacterial infection (or co-infection) | High likelihood of bacterial infection (or co-infection) |
| High likelihood of viral infection (or other non-bacterial etiology) | 157 | 17 | 0 | 0 | 0 |
| Moderate likelihood of viral infection (or other non-bacterial etiology) | 7 | 68 | 11 | 0 | 0 |
| Equivocal | 0 | 10 | 30 | 7 | 0 |
| Moderate likelihood of bacterial infection (or co-infection) | 0 | 0 | 4 | 29 | 2 |
| High likelihood of bacterial infection (or co-infection) | 0 | 0 | 0 | 7 | 50 |
| TOTAL | 164 | 95 | 45 | 43 | 52 |
| Bin Agreement | 95.7% (157/164) | 71.6% (68/95) | 66.7% (30/45) | 67.4% (29/43) | 96.2% (50/52) |
| Overall Agreement | 83.7% (334/399)95% CI: 79.8% - 87.0% | | | | |
| Overall Adjacent Bin (±1 bin) Agreement | 100.0% (399/399)95% CI: 99.0% - 100.0% | | | | |
Overall, these results demonstrate equivalent performance between the Access MeMed BV test and the predicate device
#### ii. Sample Comparison:
A sample matrix equivalency study was performed to evaluate the comparability of serum and lithium heparin plasma for use with the Access MeMed BV assay on the Access 2 Immunoassay System and DxI 9000 Access Immunoassay Analyzer. The study followed a standardized protocol based on the recommendations within CLSI EP35-ED1 and was run on both analyzers.
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Paired serum and plasma samples were collected from the same patients and tested side by side. 53 sample pairs were tested on one DxI 9000 Access Immunoassay Analyzer. 60 sample pairs were tested on two Access 2 Immunoassay Systems; each sample was tested in triplicate. One reagent lot per analyte per platform and one calibrator lot were used. Quality controls were run in duplicate each day to confirm system performance. Results were analyzed using Passing-Bablok regression, with regression slope and intercept values and corresponding 95% confidence intervals calculated for each platform. The acceptance criterion was a Passing-Bablok slope within 1.00 ± 0.10 for the BV Score when lithium heparin plasma was compared to serum. Both platforms met the acceptance criterion, demonstrating that lithium heparin plasma is equivalent to serum for use with the Access MeMed BV assay on the Access 2 Immunoassay System and DxI 9000 Access Immunoassay Analyzer.
### C Clinical Studies:
i. Clinical Sensitivity:
See Method Comparison Section Above.
ii. Clinical Specificity:
See Method Comparison Section Above.
iii. Clinical Cut-Off
See Method Comparison Section Above.
iv. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):
Not applicable.
### D Expected Values/Reference Range:
The reference interval of the Access MeMed BV Assay was established through a prospective, single-site reference interval study conducted in accordance with recommendations contained in CLSI EP28-A3c, Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory, 3rd Edition. Testing was performed at one study site between February 25, 2025, and March 14, 2025, using both the Access 2 Immunoassay System and DxI 9000 Access Immunoassay Analyzer. The study was designed to assess the expected range of BV Score values in an apparently healthy adult population. Reference interval limits were defined as the 2.5th and 97.5th percentiles of the score distribution, estimated using a nonparametric method without assumption of a specific underlying data distribution. A total of 224 serum samples from apparently healthy adult individuals were tested. Subjects were classified as apparently healthy based on self-reported medical history and predefined inclusion and exclusion criteria. Serum samples were obtained from an approved commercial vendor and from Beckman Coulter's internal blood donor program. Samples were shipped frozen and tested under a single calibration and quality control reagent lot on each platform.
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The study population included adult males and females, representative of U.S. demographics with respect to age, sex, and race. The demographic characteristics of this reference population categorized by MeMed BV score bin are summarized in Table 25.
Table 9. Access MeMed BV Score Reference Range Study Demographics
| Demographics | | MeMed BV Score Band | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | 0 ≤ score ≤ 10 | 10 < score < 35 | 35 ≤ score ≤ 65 | 65 < score < 90 | 90 ≤ score ≤ 100 |
| Sex | | | | | | |
| Female | N | 31 | 46 | 28 | 11 | 0 |
| | % | 26.72 | 39.66 | 24.14 | 9.48 | 0 |
| Male | N | 28 | 55 | 21 | 1 | 1 |
| | % | 26.42 | 51.89 | 19.81 | 0.94 | 0.94 |
| Unknown | N | 1 | 1 | 0 | 0 | 0 |
| | % | 50.00 | 50.00 | 0 | 0 | 0 |
| Age | | | | | | |
| Age | Median | 49 | 45 | 48 | 39 | 62 |
| | IQR | 23.50 | 21.00 | 23.00 | 30.50 | 0.00 |
| Race* | | | | | | |
| American Indian / Alaska Native | N | 0 | 0 | 1 | 0 | 0 |
| | % | 0 | 0 | 100.00 | 0 | 0 |
| Asian / Pacific Islander | N | 1 | 1 | 1 | 1 | 0 |
| | % | 25.00 | 25.00 | 25.00 | 25.00 | 0 |
| White | N | 33 | 55 | 20 | 7 | 1 |
| | % | 28.45 | 47.41 | 17.24 | 6.03 | 0.86 |
| Other, Mixed | N | 1 | 0 | 0 | 0 | 0 |
| | % | 100.00 | 0 | 0 | 0 | 0 |
| Unknown | N | 0 | 2 | 0 | 0 | 0 |
| | % | 0 | 100.00 | 0 | 0 | 0 |
| Black / African American | N | 25 | 44 | 27 | 4 | 0 |
| | % | 11.16 | 19.64 | 12.05 | 1.79 | 0 |
* Hispanic is defined as an ethnicity rather than a race, therefore, not present in this table.
The Median, 2.5th, and 97.5th percentile reference interval of the MeMed Score in the reference population, measured by the Access MeMed BV assay is shown in Table 26 and Table 27.
Table 10. Access 2 MeMed BV Reference Interval (Apparently Healthy Adults; N = 224)
| Sample Statistic | Percentile | Access MeMed BV Score | 90% Confidence Interval |
| --- | --- | --- | --- |
| Median = 15 | 2.5th | 2 | [1 – 3] |
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| Sample Statistic | Percentile | Access MeMed BV Score | 90% Confidence Interval |
| --- | --- | --- | --- |
| | 97.5th | 72 | [61 – 87] |
Table 11. DxI 9000 MeMed BV Reference Interval (Apparently Healthy Adults; N = 224)
| Sample Statistic | Percentile | Access MeMed BV Score | 90% Confidence Interval |
| --- | --- | --- | --- |
| Median = 21 | 2.5th | 2 | [1 – 4] |
| | 97.5th | 77 | [67 – 87] |
# **E Other Supportive Instrument Performance Characteristics Data:**
Not applicable
# **VIII Proposed Labeling:**
The labeling supports the finding of substantial equivalence for this device.
# **IX Conclusion:**
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
K261109- Page 27 of 27
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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 ? 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 as a Medical Device, 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 as a Medical Device), 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.