Maximal SD of 1.9 score units between lots; 95% CI for bias within +/- 12.5 score units for interferants
—
—
Method comparison study: 100 serum specimens measured on modified MeMed BV and predicate device.
—
Indications for Use
The 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 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.
Device Story
MeMed BV is an in-vitro diagnostic system comprising the MeMed Key analyzer and a single-use disposable cartridge. It measures serum concentrations of three host proteins: TRAIL, IP-10, and CRP. The analyzer uses chemiluminescence-based immunoassays to quantify these analytes. A computational algorithm integrates the measurements to generate a numeric score indicating the likelihood of bacterial versus viral infection. The device is used in clinical settings (emergency departments/urgent care) by healthcare professionals. The user pipettes 100µL of serum into the cartridge, which is then processed by the analyzer in approximately 15 minutes. The output is displayed on a touchscreen or transferred to an LIS/printer. This result aids clinicians in differentiating infection types, supporting clinical decision-making regarding antibiotic use.
Clinical Evidence
No new clinical validation was performed; clinical performance was established in K210254. Equivalence was demonstrated via analytical bench testing, including a multi-site reproducibility study (N=90 per panel member), lot-to-lot variability, interference testing (including HAMA), and a method comparison study (N=100) against the predicate device. Deming regression for the score showed a slope of 1.00 (95% CI: 0.98–1.01) and intercept of 1.79, with no clinical samples shifting to non-adjacent reporting bins.
Technological Characteristics
Chemiluminescent immunoassay; automated analyzer (MeMed Key) with robotic cartridge handling. Sensing via Photo Multiplier Tube (PMT). Temperature regulation via PID-controlled heater block. Reagents contained in multi-cavity plastic cartridges. Connectivity via barcode reader for lot/calibration verification. Software-driven analysis of RLU measurements translated to concentrations via calibration curves and clinical correction factors. Traceability to international standards (NIBSC 04/166 for TRAIL; IFCC/BCR/CAP CRM 474 for CRP).
Indications for Use
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.
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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FDA
U.S. FOOD & DRUG
ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY ONLY
## I Background Information:
A 510(k) Number
K222332
B Applicant
MeMed Diagnostics Ltd.
C Proprietary and Established Names
MeMed BV
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| QPS | Class II | 21 CFR 866.3215 - Device To Detect And Measure Non-Microbial Analyte(S) In Human Clinical Specimens To Aid In Assessment Of Patients With Suspected Sepsis | MI - Microbiology |
## II Submission/Device Overview:
A Purpose for Submission:
The purpose of this submission is to validate changes in manufacturing methodology and buffer formulation of the antibody-alkaline phosphatase conjugate for the cleared MeMed BV device.
B Measurand:
Three host immune protein biomarkers: TRAIL, IP-10, and CRP.
C Type of Test:
Chemiluminescent immunoassay
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
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III Intended Use/Indications for Use:
A Intended Use(s):
See Indications for Use below.
B Indication(s) for Use:
The 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 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.
C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
D Special Instrument Requirements:
MeMed Key Instrument
IV Device/System Characteristics:
A Device Description:
The MeMed BV (“BV Test” or the “Test”) is an In Vitro Diagnostic device that measures in parallel the blood concentrations of TRAIL, IP-10 and CRP. The Test consists of an automated analyzer with built-in hardware and software that conduct chemiluminescence-based analyte measurements of patient serum samples and their computational integration (MeMed Key), and a disposable cartridge that contains the reagents and controls needed to detect the analytes of interest (MeMed BV cartridge). The Test generates an answer to each sample, with a test run time of approximately 15 minutes.
B Principle of Operation:
The test system is composed of the analyzer (MeMed Key) and the cartridge, and their respective sub-components. The product is designed to allow straightforward sample-to-answer testing, with a test run time of approximately 15 minutes.
The patient’s serum specimen is pipetted by the user into the designated cartridge area. The users are instructed to fill 100 μL of sample. Each single-use cartridge is provided in a package that contains all necessary components for conducting a single patient test. This consists of the cartridge itself, all disposables (pipette tips), reagents and a waste collection well. The cartridge assembly contains both the reagents for the different assays and the pipette tips. The cartridge is a multi-cavity plastic container that is sealed off with foil and covered with a label on the foil that indicates the sample type, the test name, indication to the user where to input the sample,
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required sample volume, lot number, cartridge expiry date and a barcode with test data and parameters that are intended to be read by the analyzer.
The cartridge contains the several reagents in separate cavities, which are required to perform the test. Upon insertion of the cartridge, the analyzer conducts three immunoassays on a single serum sample of 100 μL. The cartridge also securely stores all waste materials collected during the test.
The user inserts the cartridge with sample into the analyzer and is guided by the carriage caddy. The analyzer auto-reads the cartridge's barcode and verifies that the requested test matches the cartridge type, cartridge expiration date, and that the calibration curve matches the cartridge lot number. The analyzer notifies the user when specimen processing is initiated and when the user should expect the test result.
After the cartridge has been inserted, the carriage caddy system locks and guides the cartridge during the insertion phase. Once loaded, the cartridge holder is driven by the robot to the left, in position for processing.
The liquids are handled through the pipettor, which operates through measurement of displaced air volumes by means of a flow sensor, integrated directly in the pipetting head that is connected to a high-speed solenoid valve. The flow sensor is based on a differential pressure measurement across flow restriction. The cartridge is then heated through the heater block. A software-driven Proportional Integral Derivative (PID) control system is used to set and regulate the temperature of the heater block, using the center thermistor for feedback.
Once the sample has been diluted and mixed with magnetic particles, it is processed by the bead immobilizer magnet, which generates a high magnetic field strength, and allows both the reduction of immobilization time and a high percentage of bead retention per immobilization to be achieved. The sample is then washed and the chemiluminescence step takes place.
The chemiluminescence of the assay is measured by a Photo Multiplier Tube (PMT) Module, a highly sensitive light detection device. The selected PMT Module has a spectral range which matches the expected wavelength generated by the chemistry luminescence. When a PMT reading is required, the software then turns the PMT Module on and a reading is taken. Once readings have been completed, the software automatically turns the PMT Module off.
Each RLU measurement for each of the analytes is processed and translated to a concentration measurement using a calibration curve that is generated using calibration materials provided by MeMed. When a clinical serum sample is run, the resulting concentrations are also processed to apply a clinical correction factor, which is pre-determined for each of the analytes. This clinical correction factor exists primarily because of matrix-effects (in the serum) which may impact the generated signal compared to the calibration which is run on recombinant proteins. Final concentrations for each analyte are then processed to generate a Score result which places the specimen into one of five distinct bins, with higher score values corresponding to increasing likelihood of a bacterial infection.
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The MeMed BV™ test result is a score between 0 and 100 derived from computational integration of the measurements of the three proteins TRAIL, IP-10, and CRP, where low scores are indicative of viral infection and high score of bacterial infection.
- 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 likelihood of bacterial infection (or co-infection)
- 90 ≤ score ≤100: High likelihood of bacterial infection (or co-infection)
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): | K222332 | K210254 |
| --- | --- | --- |
| Device Trade Name | MeMed BV | MeMed BV |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | Same | The 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 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 |
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| | | 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. |
| --- | --- | --- |
| User Population | Same | Health Care Providers requesting samples to be tested by clinical laboratory technicians |
| Assay Principle | Same | Sandwich immunoassay technology |
| Assay Type | Same | Automated |
| Test Result Reporting | Same | Numerical values with risk bins |
| Specimen | Same | Human Serum |
| Measurand(s) | Same | TRAIL, IP-10, and CRP |
| Detection method | Same | Chemiluminescence-based analyte measurement using MeMed Key instrument |
| Time to result | Same | Approximately 15 minutes |
| Sample volume | Same | 100 μL |
| General Device Characteristic Differences | | |
| Alkaline Phosphatase Antibody Conjugation Method | In-house conjugation process | Commercially available kit |
| Calibration frequency | Every four weeks | Every two weeks |
| Conjugate buffer | New formulation containing Trizma hydrochloride | Commercially available buffers |
VI Standards/Guidance Documents Referenced:
CLSI EP17-A2 Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures
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CLSI EP05-A3 Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline
CLSI EP06-A Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline
62304 IEC Medical Device Software - Software life cycle processes 1.1
CLSI EP25-A Evaluation of Stability of In Vitro Diagnostic Reagents; Approved Guideline
CLSI EP07 Interference testing in clinical chemistry
CLSI EP37 Supplemental tables for interference testing in clinical chemistry
CLSI EP28-A3c Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory
## VII Performance Characteristics (if/when applicable):
### A Analytical Performance:
1. Precision/Reproducibility:
A multi-site reproducibility study was performed across three laboratories. The measurements were performed over five non-consecutive days. At each site, a single operator conducted the tests on two different analyzers using one cartridge lot, with three runs performed each day per panel member.
Calibration was performed on the first day on each analyzer; one calibrator lot was used. External controls (ECs) were also run daily using one lot of ECs.
The 'infectious' specimens were collected from non-U.S. individuals recruited to an infectious cohort as defined by the MeMed BV test intended use/indications for use under an appropriate clinical study protocol.
The samples were collected, centrifuged within 1 hour after blood withdrawal, aliquoted (120 $\mu$ L) and frozen at $-80^{\circ}\mathrm{C}$ . Prior initiation of the reproducibility study, the aliquots were sent on dry ice to the participating laboratories. Each aliquot was thawed 10-15 min on a roller prior to measurement on the MeMed Key instrument.
The following panel members were utilized for the reproducibility study:
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Table 1. Reproducibility Study Panel Members
| Panel Member | Sample Type | Score |
| --- | --- | --- |
| A | Infectious Serum Specimen | High (Score = 97) |
| B | Infectious Serum Specimen | Medium (Score = 51) |
| C | Infectious Serum Specimen | Low (Score = 1) |
| D | Healthy Serum Specimen | Low (Score = 4) |
Results from the reproducibility study are summarized in the table below including repeatability (between-run variation), intermediate precision, and reproducibility.
Table 2. Reproducibility Study Results
| Panel Member | Measurand or Score | Mean | N | Repeatability | | Intermediate Precision | | Reproducibility | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| A | TRAIL | 49.1 | 90 | 3.4 | 6.9 | 3.4 | 6.9 | 3.6 | 7.3 |
| B | TRAIL | 60.8 | 90 | 4.6 | 7.6 | 4.7 | 7.7 | 4.9 | 8.0 |
| C | TRAIL | 163.5 | 90 | 8.8 | 5.4 | 8.8 | 5.4 | 9.2 | 5.6 |
| D | TRAIL | 54.5 | 90 | 3.7 | 6.8 | 4.0 | 7.4 | 4.5 | 8.3 |
| A | IP-10 | 462.7 | 90 | 21.8 | 4.7 | 24.0 | 5.2 | 27.0 | 5.8 |
| B | IP-10 | 402.0 | 90 | 22.9 | 5.7 | 24.3 | 6.0 | 28.4 | 7.1 |
| C | IP-10 | 1426.8 | 90 | 73.6 | 5.2 | 92.2 | 6.5 | 99.9 | 7.0 |
| D | IP-10 | 100.0 | 90 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| A | CRP | 193.5 | 90 | 19.2 | 9.9 | 20.1 | 10.4 | 25.5 | 13.2 |
| B | CRP | 62.4 | 90 | 4.3 | 6.8 | 4.5 | 7.2 | 5.6 | 8.9 |
| C | CRP | 34.1 | 90 | 2.3 | 6.8 | 2.4 | 6.9 | 3.0 | 8.7 |
| D | CRP | 1.0 | 90 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| A | Score | 98.1 | 90 | 1.3 | N/A¹ | 1.3 | N/A¹ | 1.6 | N/A¹ |
| B | Score | 61.5 | 90 | 6.4 | N/A¹ | 6.5 | N/A¹ | 6.9 | N/A¹ |
| C | Score | 1.8 | 90 | 0.5 | N/A¹ | 0.5 | N/A¹ | 0.6 | N/A¹ |
| D | Score | 9.4 | 90 | 2.0 | N/A¹ | 2.1 | N/A¹ | 2.4 | N/A¹ |
$^{1}$ CV analysis was not considered for the logistic scale of the MeMed BV Score. The acceptance criterion for the score was set to be SD < 12.5 score units which reflects a small probability of scores falling into nonadjacent bins.
An additional study was performed to estimate lot-to-lot variance for each measurand and the test result for four panel members. The lot-to-lot study was performed on 3 days as follows: Operator 1 at Site 1 conducted three runs per day for each of the four panel members using two lots of cartridges on the same Analyzer. Two calibration lots were used, one for each cartridge lot. External controls were run daily using one lot of EC reagents. Results from the lot variability study are included in Table 3 below.
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Table 3. Lot-to-Lot Variability Study Results
| Panel Member | Measurand or Score | Mean | N | Between Lots | |
| --- | --- | --- | --- | --- | --- |
| | | | | SD | CV (%) |
| A | TRAIL | 46.8 | 18 | 0.0 | 0.0 |
| B | TRAIL | 57.2 | 18 | 0.0 | 0.0 |
| C | TRAIL | 156.1 | 18 | 2.7 | 1.7 |
| D | TRAIL | 51.2 | 18 | 0.8 | 1.6 |
| A | IP-10 | 452.9 | 18 | 29.2 | 6.4 |
| B | IP-10 | 394.0 | 18 | 19.1 | 4.8 |
| C | IP-10 | 1392.7 | 18 | 116.0 | 8.3 |
| D | IP-10 | 100.7 | 18 | 0.0 | 0.0 |
| A | CRP | 171.9 | 18 | 11.0 | 6.4 |
| B | CRP | 54.7 | 18 | 3.1 | 5.6 |
| C | CRP | 29.1 | 18 | 1.7 | 5.8 |
| D | CRP | 1.0 | 18 | 0.0 | 0.0 |
| A | Score | 97.4 | 18 | 0.9 | N/A¹ |
| B | Score | 62.8 | 18 | 1.9 | N/A¹ |
| C | Score | 1.9 | 18 | 0.2 | N/A¹ |
| D | Score | 11.4 | 18 | 1.0 | N/A¹ |
¹CV analysis was not considered for the logistic scale of the MeMed BV Score. The acceptance criterion for the score was set to be SD < 12.5 score units which reflects a small probability of scores falling into nonadjacent bins.
The results comply with the pre-established acceptance criteria for score and individual analytes. A maximal CV of 8.3% was obtained for IP-10 panel member C. For score, the maximal SD obtained between the lots is 1.9 (for panel member B).
2. Linearity:
A study was performed to assess the linearity of measurement for each of the three measurands (TRAIL/IP-10/CRP) with acceptance criteria for bias due to non-linearity or less than 10% or, alternatively, 10 mg/L for CRP, 10 pg/mL for TRAIL, and 50 pg/mL for IP-10. Linearity is not applicable to the Test result (score), as it is calculated using a pre-defined weighted multinomial logistic regression model. The study was performed in a single laboratory with one analyzer, two lots of cartridges, and one lot of calibration and external control reagents. Eleven dilutions of individual analytes were prepared in protein rich buffer and measured four times. The range of concentrations tested spanned the applicable range for determination of the MeMed BV score and were 22-304 pg/mL for TRAIL, 127-2206 pg/mL for IP-10, and 1-248 µg/mL for CRP. Linearity for IP10 and TRAIL measurands fell within the study acceptance criteria. A deviation of approximately 15% was observed for CRP in a single sample. However, re-analysis of clinical data considering a potential bias of 15% in CRP measurement demonstrated no significant impact on device performance and therefore the expected clinical impact of the observed bias is expected to be minimal.
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# 3. Analytical Specificity/Interference:
An interference study was performed to evaluate the impact of select interferents and cross-reactants on the test score. Each interferent and cross-reactant was tested using two panel members that represent score bins 1 and 5 (a 'low' score, and 'high' score, respectively). Interference was assessed by estimating the bias for each specimen when compared to a sample without interferent. Each interferant was tested using eight replicates for each spiked and non-spiked (no interferent) specimen. Results from the interference study are included in the below table.
Table 4. Interference Study Results
| Interferant | Test Level | High Score Bias | High Score Bias CI | Low Score Bias | Low Score Bias CI |
| --- | --- | --- | --- | --- | --- |
| Acetaminophen | 0.156 mg/mL | 0.0 | 0.0-0.0 | 0.1 | -0.7-0.9 |
| Amoxicillin | 54 μg/mL | -0.1 | -0.6-0.4 | 0.9 | -1.1-2.9 |
| Ampicillin | 75 μg/mL | 0.1 | -0.5-0.8 | 0.8 | -1.6-3.1 |
| Aspirin | 0.03 mg/mL | 0.0 | 0.0-0.0 | 0.4 | -1.4-2.2 |
| Azithromycin | 11.1 μg/mL | -0.6 | -2.1-0.9 | 0.1 | -0.6-0.8 |
| Caffeine | 108 μg/mL | -0.4 | -0.9-0.1 | -0.1 | -1.4-2.2 |
| Cetirizine | 4.35 μg/mL | -0.4 | -0.9-0.1 | 0.8 | -0.6-2.1 |
| Conjugated Bilirubin | 0.4 mg/mL | 0.6 | -0.2-1.4 | 0.6 | 0.1-1.2 |
| Dextramethorphan | 15.6 ng/mL | 0.0 | -0.5-0.5 | 1.6 | 0.0-3.3 |
| Doxycycline | 18 μg/mL | 0.0 | -0.7-0.7 | -0.1 | -2.0-1.7 |
| Ethanol | 0.5% v/v | 0.3 | -0.3-0.8 | -0.1 | -1.2-1.0 |
| Hemoglobin | 10% v/v | -0.3 | -0.8-0.3 | -0.1 | -0.7-0.5 |
| Heparin | 3300 U/L | 0.0 | 0.0-0.0 | 0.3 | -0.5-1.0 |
| Human Serum Albumin | 60 mg/mL | 0.1 | -1.2-1.4 | 0.8 | 0.0-1.5 |
| Ibuprofen | 219 μg/mL | 0.0 | 0.0-0.0 | 1.0 | -1.5-3.5 |
| Levoflaxacin | 36 μg/mL | -0.6 | -1.9-0.7 | -0.3 | -0.9-3.6 |
| Loratidine | 87 ng/mL | 0.0 | 0.0-0.0 | 1.4 | -0.8-1.3 |
| Nicotine | 969 ng/mL | -2.0 | -4.6-0.6 | 0.3 | -0.7-0.7 |
| Oxymetazoline | 0.0006 μg/mL | 0.3 | -0.3-0.8 | 0.0 | -0.4-0.9 |
| Phenylephrine | 30 ng/mL | 0.0 | 0.0-0.0 | 0.3 | -0.8-2.5 |
| Prednisolone | 1200 ng/mL | -0.1 | -0.4-0.1 | 0.9 | -0.3-0.6 |
| Rheumatoid factor | 500 IU/mL | 0.0 | -0.6-0.6 | 0.1 | -0.8-0.5 |
| Triglyceride | 15 mg/mL | -0.1 | -0.7-0.5 | -0.1 | -0.8-0.5 |
| Unconjugated Bilirubin | 0.4 mg/mL | 0.3 | -0.2-0.7 | 0.3 | -0.2-0.7 |
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These data demonstrate that the presence of commonly encountered interferants does not significantly alter the MeMed BV score. For all evaluated specimens, the $95\%$ confidence interval for the bias lies within $+/-12.5$ score units for all the interferants and cross-reactants in the indicated concentrations for both bacterial and viral clinical samples.
Interference by Human Anti-Mouse Antibody (HAMA) was also assessed by evaluating 3 contrived serum specimens that contained different amounts of HAMA. To generate these specimens a clinical serum sample (Level 1) was intermixed with a commercially available serum sample that contained high concentrations of HAMA (Level 5). Each individual specimen was run on two analyzers with a total of eight repeats for each sample. Acceptance criteria were that individual TRAIL, CRP, and IP-10 concentrations in the presence of HAMA should fall within $10\%$ of the concentration without interferant. All samples successfully met the acceptance criteria demonstrating a lack of interference from HAMA.
Table 5. HAMA Interference Testing Results
| | TRAIL | | | CRP | | | IP10 | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | Mean | Nominal | % Recovery | Mean | Nominal | % Recovery | Mean | Nominal | % Recovery |
| Sample 1 | Level 1 | 61.8 | | | 154.1 | | | 709.0 | | |
| | Level 2 | 54.9 | 55.1 | 100% | 113.2 | 116.8 | 97% | 557.0 | 544.2 | 102% |
| | Level 3 | 49.9 | 48.4 | 103% | 72.7 | 79.5 | 92% | 386.5 | 379.4 | 102% |
| | Level 4 | 48.1 | 47.9 | 103% | 62.9 | 69.1 | 92% | 379.0 | 375.9 | 102% |
| | Level 5 | 47.8 | 47.5 | 103% | 52.7 | 58.9 | 92% | 378.0 | 375.9 | 102% |
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| | Level 4 | 44.3 | 41.8 | 106% | 44.4 | 42.2 | 105% | 215.8 | 214.6 | 101% |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Level 5 | 35.1 | | | 4.8 | | | 49.9 | | |
| Sample 2 | Level 1 | 77.8 | | | 77.6 | | | 423.5 | | |
| | Level 2 | 70.0 | 65.2 | 107% | 59.6 | 60.7 | 98% | 333.1 | 327.7 | 102% |
| | Level 3 | 55.4 | 52.6 | 105% | 45.9 | 43.9 | 105% | 226.0 | 231.9 | 97% |
| | Level 4 | 41.1 | 40.0 | 103% | 29.4 | 27.1 | 108% | 130.9 | 136.1 | 96% |
| | Level 5 | 27.4 | | | 10.3 | | | 40.3 | | |
## Hook Effect Study
Contrived samples containing high levels of each measurand were prepared by spiking protein rich buffer with recombinant proteins. For each concentration level, three runs were measured on one analyzer on the same day.
Table 6. Hook Effect Study Analyte Concentrations
| Samples | TRAIL (pg/mL) | IP-10 (pg/mL) | CRP (mg/L) |
| --- | --- | --- | --- |
| Sample 1 | 300 | 6000 | 250 |
| Sample 2 | 533 | 7333 | 333 |
| Sample 3 | 767 | 8666 | 417 |
| Sample 4 | 1000 | 10000 | 500 |
Table 7. Hook Effect Study Results.
| | Analyzer Measurement (RLUs) | | |
| --- | --- | --- | --- |
| Samples | TRAIL | IP-10 | CRP |
| Sample 1 | 3,144,835 | 12,753,299 | 6,258,491 |
| Sample 2 | 5,538,815 | 14,943,633 | 7,679,158 |
| Sample 3 | 7,655,794 | 16,526,978 | 9,482,134 |
| Sample 4 | 9,197,934 | 17,977,983 | 10,461,859 |
No significant loss of signal was observed for the evaluated specimens containing high analyte concentrations. Therefore, no Hook effect has been identified for the MeMed BV test.
4. Assay Reportable Range:
Not applicable
5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
The calibration is a process used to generate the calibration curve and must be repeated every four weeks and/or when introducing a new test cartridge lot. The calibration curve translates RLU measurements to concentration of each analyte. A calibration is unique to a device and a cartridge lot. The calibrators are in effect synthetic samples which can be measured by the device using the normal cartridge. Each calibrator is a solution of the 3 analytes introduced as recombinant proteins. Each calibration set includes three vials that represent high, medium, and low values of the analyte ranges that impact the MeMed BV test score. Calibrators are
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provided by MeMed in vials which need to be stored in normal refrigerators (2-8°C). All three analytes are traceable to a standard. The TRAIL analyte is traced to international biological reference standard, NIBSC code: 04/166. The CRP analyte is traced to international standard, IFCC/BCR/CAP CRM 474. The IP-10 analyte is traced to an internal standard prepared by R&D Systems (Cat. #890836) due to the unavailability of international standards for IP-10. The material was produced following ISO Guide 34:2009.
The quality indicators (i.e., max/min slope, max/min intercept, min slope, and R²) represent specifications for calibration curves created with released cartridges. These thresholds are established for each lot of cartridges during manufacturing (based on actual performance of the produced lot). The data is then encoded to the cartridge barcode, to be read by the analyzer when running a calibration. Failure to meet these thresholds (during run-time of a calibration) will fail the calibration. In case of a calibration failure the device will issue a failure message to the user and will prevent the failed cartridge-lot from running. The device will only run with cartridges from a lot which has a valid calibration. It is possible to calibrate more than one cartridge lot.
## Controls
The MeMed BV External controls are intended for quality control testing in clinical laboratories. The control set includes two control vials containing purified TRAIL, IP-10, and CRP antigens in a protein buffer. One vial corresponds to a bacterial MeMed BV test score (expected score 90-100) and one vial corresponds to a viral MeMed BV test score (expected score 0-10). The software evaluates each control and notifies the user whether the evaluation is completed successfully.
## Calibrators
A study was conducted to support increasing the calibration frequency of the MeMed Key instrument from every two weeks to every four weeks. Stability of the calibration interval was evaluated using the same methodology to support the initial clearance in K210254. Briefly, two cartridge lots were utilized on three MeMed Key instruments. Two calibrator lots were utilized with one lot used to establish a baseline and the other run as samples. Calibrators were run once a week for the entirety of the claimed calibration interval and acceptable drift was identified as ≤7% for both TRAIL and CRP analytes and ≤10% for IP10. Results from this study establish no significant drift in analyte values over 4 weeks supporting the revised calibration interval.
## Stability
Cartridge and calibrator shelf-life stability was validated following CLSI EP25-A. Real-time, in use, and shipping stability were validated using the same methodology to support the original clearance K210254.
6. Detection Limit:
Limit of Quantitation
K222332 - Page 12 of 16
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For evaluated specimens with analyte levels below the limit of quantitation, the limit of quantitation value will be used to generate the MeMed BV score. Therefore a limit of detection and a limit of blank was not evaluated.
The LoQ for the previously cleared MeMed BV assay was established in K210254. An LoQ study was performed on the modified MeMed BV assay to evaluate Total Error and precision at low analyte levels including the previously defined LoQ in accordance with CLSI EP17-A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures.
The study used two cartridge lots with one MeMed Key analyzer and the samples described in Table 8 below. Each sample was tested three times on three non-consecutive days.
Table 8. LoQ Study Panel Members
| Sample | TRAIL (pg/mL) | IP-10 (pg/mL) | CRP (mg/L) |
| --- | --- | --- | --- |
| 1 | 12 | 80 | 0.8 |
| 2 | 13.5 | 90 | 0.9 |
| 3 | 15 | 100 | 1 |
| 4 | 16.5 | 110 | 1.1 |
The Total Error was calculated for each of the four concentration levels for three analytes as 2X the observed SD.
Table 9. LoQ Study Results
| Cartridge Lot | | Lot 1 | | | Lot 2 | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Parameter | TRAIL (pg/mL) | IP-10 (pg/mL) | CRP (mg/L) | TRAIL (pg/mL) | IP-10 (pg/mL) | CRP (mg/L) |
| 1 | Mean | 15.34 | 74.22 | 0.78 | 12.2 | 80.65 | 0.80 |
| | STD | 3.84 | 1.98 | 0.06 | 1.4 | 3.69 | 0.03 |
| | CV (%) | 25% | 2.7% | 8% | 11.5% | 4.6% | 3.8% |
| | TE (%) | 50% | 5.3% | 16% | 23% | 9.2% | 7.6% |
| 2 | Mean | 15.88 | 82.19 | 0.88 | 13.08 | 86.93 | 0.88 |
| | STD | 0.74 | 2.46 | 0.05 | 0.66 | 2.86 | 0.05 |
| | CV (%) | 4.6% | 3% | 5.7% | 5% | 3.3% | 6% |
| | TE (%) | 9.3% | 6% | 11.4% | 10% | 6.6% | 12% |
| 3 | Mean | 18.49 | 90.90 | 0.99 | 14.26 | 95.00 | 0.99 |
| | STD | 1.94 | 4.18 | 0.05 | 1.15 | 5.31 | 0.04 |
| | CV (%) | 10.5% | 4.6% | 5% | 8% | 5.6% | 4% |
| | TE (%) | 21% | 9.2% | 10% | 16% | 11.2% | 8% |
| 4 | Mean | 18.74 | 96.65 | 1.12 | 15.71 | 103.5 | 1.05 |
| | STD | 1.28 | 2.53 | 0.06 | 0.89 | 3.44 | 0.07 |
| | CV (%) | 7% | 2.6% | 5.4% | 5.7% | 3.3% | 6.7% |
| | TE (%) | 14% | 5.2% | 10.8% | 11.4% | 6.6% | 13.4% |
The results show that the MeMed BV test passes the acceptance criteria of TE in all samples except for Sample 1 on lot 1. The maximal TE values for the previously established LLOQ of the MeMed device (TRAIL -15pg/mL, CRP-1 mg/mL, IP-10 - 100 pg/mL) is 21% for TRAIL, 10% for CRP, and 11.2% for IP10.
K222332 - Page 13 of 16
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7. Assay Cut-Off:
The assay cut-offs remain unchanged from the previously cleared version of the MeMed BV Device. Please see the published decision summary for K210254 for additional details.
B Comparison Studies:
Clinical validation of the MeMed BV device in the intended use population was previously reviewed under K210254. The purpose of this 510(k) submission is to establish equivalence between the modified MeMed BV assay and the originally cleared predicate device. Please refer to the published decision summary for additional clinical validation information.
1. Method Comparison with Predicate Device:
A method comparison study was performed in accordance with the CLSI guideline EP09-A3 (Measurement Procedure Comparison and Bias Estimation Using Patient Samples) to demonstrate equivalent performance between the modified MeMed BV test reviewed in this submission to the previously cleared predicate device. Specifically, one hundred serum specimens with known TRAIL, CRP, and IP-10 concentrations were measured on both the modified MeMed BV device and the previously cleared predicate device. Deming regression analysis was performed on score values and estimates of bias at each of the four cut-off points of the MeMed BV assay were obtained. The results are summarized below.
For analysis of individual analytes measured by the MeMed BV device, values outside the upper and lower limit of quantitation were replaced with the respective LoQ before averaging.
Table 10. Deming Regression Analysis Results – Modified MeMed BV Test Results Compared to the Predicate Device
| Analyte | N | Slope (95% CI) | Y-intercept (95% CI) |
| --- | --- | --- | --- |
| TRAIL | 100 | 1 (0.94 – 1.0) | 0 (-1.58 – 0) |
| IP-10 | 100 | 0.92 (0.88 – 0.94) | 8.33 (3.93 – 18.35) |
| CRP | 100 | 1.08 (1.05 – 1.11) | 1.31 (0.59 – 2.42) |
| Score | 100 | 1.00 (0.98 – 1.01) | 1.79 (0.65 to 3.23) |
Additional analyses were performed to calculate the bias at each relevant cut-off across the LIAISON MeMed BV Score range as detailed below.
K222332 - Page 14 of 16
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Table 11. Deming Regression Bias Analysis –Bias Estimates for the MeMed BV Score Value at Relevant Cutoffs
| MeMed BV Score | Modified MeMed BV Score Bias | 95% CI | |
| --- | --- | --- | --- |
| 10 | 1.8 | 0.7 | 3.1 |
| 35 | 1.7 | 0.8 | 2.8 |
| 65 | 1.6 | 0.9 | 2.6 |
| 90 | 1.6 | 0.9 | 2.6 |
Further analysis of individual sample bin results was also performed and is summarized below.
Table 12. Modified MeMed BV Device Bin Results – Comparison to the Predicate Device
| Modified MeMed BV Results | Cleared Predicate Device Results | | | | |
| --- | --- | --- | --- | --- | --- |
| | Bin 1 | Bin 2 | Bin 3 | Bin 4 | Bin 5 |
| Bin 1 | 22 | 0 | 0 | 0 | 0 |
| Bin 2 | 4 | 10 | 0 | 0 | 0 |
| Bin 3 | 0 | 3 | 12 | 0 | 0 |
| Bin 4 | 0 | 0 | 2 | 12 | 0 |
| Bin 5 | 0 | 0 | 0 | 2 | 33 |
| Agreement | 84.6% (22/26) | 76.9% (10/13) | 85.7% (12/14) | 85.7% (12/14) | 100% (33/33) |
None of the clinical samples evaluated shifted to a non-adjacent reporting bin when measured by the modified MeMed BV device. Cumulatively, the data summarized above establish equivalent performance between the modified MeMed BV device and the cleared predicate device.
2. Matrix Comparison:
Not applicable.
C Clinical Studies:
1. Clinical Sensitivity:
Not applicable.
2. Clinical Specificity:
Not applicable.
K222332 - Page 15 of 16
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3. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):
Not applicable.
## D Clinical Cut-Off:
Clinical performance of the MeMed BV device was previously established in K210254. Please refer to the published decision summary for information regarding the relevant clinical cut-offs of the MeMed BV device.
## E Expected Values/Reference Range:
Clinical performance of the MeMed BV device was previously established in K210254. Please refer to the published decision summary for information regarding the expected values for the MeMed BV device.
## 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.
K222332 - Page 16 of 16
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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 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.