DEN180069 · InBios International, Inc. · QFO · May 23, 2019 · Microbiology
Device Facts
Record ID
DEN180069
Device Name
ZIKV Detect 2.0 IgM Capture ELISA
Applicant
InBios International, Inc.
Product Code
QFO · Microbiology
Decision Date
May 23, 2019
Decision
DENG
Submission Type
Direct
Regulation
21 CFR 866.3935
Device Class
Class 2
Indications for Use
The ZIKV Detect 2.0 IgM Capture ELISA is intended for the qualitative detection of Zika virus IgM antibodies in human sera for the presumptive clinical laboratory diagnosis of Zika virus infection. The assay is intended for use only in patients with clinical signs and symptoms consistent with Zika virus infection, and/or CDC Zika virus epidemiological criteria (e.g., history of residence in or travel to a geographic region with active Zika transmission at the time of travel, or other epidemiological criteria for which Zika virus testing may be indicated). Assay results are for the presumptive detection of IgM antibodies to Zika virus (ZIKV). Positive results must be confirmed by following the latest CDC guidelines for the diagnosis of Zika virus infection. Results of this test are intended to be used in conjunction with clinical observations. patient history, epidemiological information, and other laboratory evidence to make patient management decisions. Zika IgM levels are variable over the course of the infection, and may be detectable near day four post onset of symptoms and persist up to approximately 12 weeks following initial infection. Negative results may be seen in specimens collected before day four post onset of symptoms or after the window of detectable IgM closes, and therefore do not preclude the possibility of Zika virus infection, past or present. This assay is not indicated for testing blood or plasma donors.
Device Story
ZIKV Detect 2.0 IgM Capture ELISA is an in vitro diagnostic assay; detects Zika virus IgM antibodies in human serum. Operates via IgM capture ELISA principle; utilizes Zika-specific antigens to identify presence of antibodies. Used in clinical laboratory settings by trained laboratory personnel. Healthcare providers interpret results alongside clinical observations, patient history, and epidemiological data to support diagnosis of recent Zika infection. Positive results require confirmation per CDC guidelines; negative results do not rule out infection. Benefits include aiding clinical management decisions for patients presenting with symptoms or exposure history consistent with Zika virus.
Clinical Evidence
Clinical study evaluated 807 samples from 609 subjects (endemic and non-endemic). Compared to composite reference method (RT-PCR and CDC Zika MAC-ELISA). Endemic PPA 89.4%, NPA 99.2%. Non-endemic PPA 81.3%, NPA 95.8%. Performance varies by days post symptom onset (PSO); PPA >90% for samples >7 days PSO. FDA panel testing showed 100% PPA and 100% NPA.
Indicated for qualitative detection of Zika virus IgM antibodies in human sera for presumptive diagnosis of Zika virus infection in patients with clinical signs/symptoms or epidemiological risk factors. Not for blood or plasma donor screening.
Regulatory Classification
Identification
Zika virus serological reagents are in vitro diagnostic devices that consist of antigens or antibodies for the detection of Zika virus or Zika antibodies in human specimens from individuals who have signs and symptoms consistent with Zika virus infection and/or epidemiological risk factors. The detection aids in the diagnosis of current or recent Zika virus infection or serological status. Negative results obtained with this test do not preclude the possibility of Zika virus infection, past or present. Positive results should be interpreted with consideration of other clinical information and laboratory findings and should not be used as the sole basis for treatment or other patient management decisions.
Special Controls
The special controls for this device are:
*Classification.* Class II (special controls). The special controls for this device are:(1) The labeling required under § 809.10(b) of this chapter must include:
(i) An intended use with a detailed description of what the device detects (Zika IgM antibodies, other Zika antibodies, or Zika antigens), the type of results provided to the user, the specimen type for which testing is indicated (
*e.g.,* serum, whole blood), the clinical indications appropriate for test use, and the specific population(s) for which the test is intended.(ii) Performance characteristics from analytical and clinical studies required under paragraphs (b)(2)(ii) and (iii) of this section.
(iii) A detailed explanation of the interpretation of results and criteria for validity of results (
*e.g.,* criteria that internal or external quality controls must meet in order for a test/test run to be valid, minimum signal strength that the sample has to yield to be interpretable as a valid result).(iv) Limiting statements indicating that:
(A) Results are not intended to be used as the sole basis for diagnosis, treatment, or other patient management decisions. The test results should be interpreted in conjunction with clinical observations, patient history, epidemiological information, and other laboratory evidence.
(B) Device results are intended to be followed up according to the latest professional guidelines (
*e.g.,* recommendations from the Centers for Disease Control and Prevention) for the diagnosis of Zika virus infection.(C) Negative test results do not preclude the possibility of Zika virus infection, past or present.
(D) Specimens can result in false negative results on the device if collected outside of the appropriate response window for specific Zika virus antigens or antibodies, as determined by scientific evidence (
*e.g.,* for IgM <7 days post symptom onset (pso) or risk of exposure and if collected past 84 days pso).(v) Detailed instructions for use that minimize the risk of generating a false positive or false negative result (
*e.g.,* co-testing of other matrices).(2) Design verification and validation must include:
(i) A detailed device description, including all device parts (
*e.g.,* Zika antigen target, other flavivirus antigen target, capture antibodies), instrument requirements, ancillary reagents required but not provided, and the technological characteristics, including all pre-analytical methods for specimen processing.(ii) Detailed documentation and results from analytical performance studies including: characterization of the cut-off(s), analytical sensitivity to a standardized reference material that FDA has determined is appropriate (
*e.g.,* World Health Organization reference standard or the Centers for Disease Control and Prevention reference standard), class specificity for human antibodies (*e.g.,* IgM or IgG), analytical specificity (cross reactivity including cross reactivity to other flaviviruses), interference, carryover/cross contamination, specimen stability, hook effect (if applicable), matrix equivalency (if applicable), freeze-thaw studies (if applicable), and reproducibility.(iii) Detailed documentation and results from clinical studies, including the clinical study protocol (with a description of the testing algorithm and results interpretation table), detailed clinical study report, including line data of the clinical study results, and other appropriate statistical analysis. The samples used in the clinical study must be collected from subjects representative of the full spectrum of the intended use population (
*e.g.,* endemic and non-endemic regions if both are indicated).
Submission Summary (Full Text)
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# EVALUATION OF AUTOMATIC CLASS III DESIGNATION FOR ZIKV Detect 2.0 IgM Capture ELISA
## DECISION SUMMARY
## A. DEN Number:
DEN180069
## B. Purpose for Submission:
De Novo request for evaluation of automatic class III designation for the ZIKV Detect 2.0 IgM Capture ELISA
## C. Measurands:
Zika virus (ZIKV) IgM antibodies
# D. Type of Test:
IgM Capture ELISA assay
## E. Applicant:
InBios International, Inc.
## F. Proprietary and Established Names:
ZIKV Detect 2.0 IgM Capture ELISA
#### G. Regulatory Information:
- 1. Regulation section: 21 CFR 866.3935
- 2. Classification: Class II (Special Controls)
- 3. Product code: QFO
- 4. Panel: 83 - Microbiology
## H. Indications For Use:
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## 1. Indications for use:
The ZIKV Detect 2.0 IgM Capture ELISA is intended for the qualitative detection of Zika virus IgM antibodies in human sera for the presumptive clinical laboratory diagnosis of Zika virus infection. The assay is intended for use only in patients with clinical signs and symptoms consistent with Zika virus infection, and/or CDC Zika virus epidemiological criteria (e.g., history of residence in or travel to a geographic region with active Zika transmission at the time of travel, or other epidemiological criteria for which Zika virus testing may be indicated). Assay results are for the presumptive detection of IgM antibodies to Zika virus (ZIKV). Positive results must be confirmed by following the latest CDC guidelines for the diagnosis of Zika virus infection.
Results of this test are intended to be used in conjunction with clinical observations. patient history, epidemiological information, and other laboratory evidence to make patient management decisions. Zika IgM levels are variable over the course of the infection, and may be detectable near day four post onset of symptoms and persist up to approximately 12 weeks following initial infection.
Negative results may be seen in specimens collected before day four post onset of symptoms or after the window of detectable IgM closes, and therefore do not preclude the possibility of Zika virus infection, past or present.
This assay is not indicated for testing blood or plasma donors.
- 2. Special conditions for use statement(s):
For in vitro diagnostic use only
Prescription use only
- 3. Special instrument requirements:
Not applicable
# I. Device Description:
The ZIKV Detect IgM Capture ELISA is a sandwich-type immunoassay. The test kit includes microtiter wells coated with anti-human IgM antibodies, ZIKV IgM Negative, and IgM Positive controls, ZIKV Sample Dilution Buffer, ZIKV Recombinant Antigen (Zika Ag) for IgM, Cross-reactive Control Antigen (CCA) for ZIKV IgM and normal cell antigens (NCA), secondary antibodies targeting the flavivirus antigens. The test kit also contains a HRPlabeled ZIK V-specific monoclonal antibody and tetramethylbenzidine (TMB) substrate which are used to detect ZIKV IgM antibodies in the wells.
The ZIKV Detect 2.0 IgM Capture ELISA contains sufficient reagents for one plate of 96 wells (12 x 8 strips) for human IgM targeting Zika virus. This is sufficient for testing a maximum of 28 unknown samples for human IgM, with controls included in duplicate.
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# J. Standard/Guidance Document Referenced (if applicable):
EP05-A3: Evaluation of Precsion Performance of Quantitative Measurement Procedures.
EP07-A3: Interference Testing in Clinical Chemistry. FDA Recognition Number 7-127.
# K. Test Principle:
The ZIKV Detect 2.0 IgM Capture ELISA is an enzyme linked capture immunoassay for the detection of human IgM antibodies targeting the ZIKV envelope glycoproteins. Polystyrene microtiter wells are pre-coated with polyclonal capture antibodies against human IgM. Positive Control, Negative Control, and unknown test samples are diluted into a sample dilution buffer and then added to the ELISA plate in appropriate locations. After incubation and washing, a subsequent Ready-To-Use (RTU) ZIKV antigen (Zika Ag), a Cross-reactive Control Antigen (CCA) and a Normal Cell Antigen (NCA) are added separately to each corresponding well. After incubation and washing, a Ready-To-Use secondary antibody solution is added to each well. After a subsequent incubation and wash steps, an enzyme conjugate solution comprising horseradish peroxidase-labeled anti-mouse antibody is added to each well. After washing, wells are incubated with a tetramethylbenzidine (TMB) substrate. An acidic Stop Solution is then added and the degree of enzymatic turnover is determined by the absorbance (optical density) measurement at 450 nanometers. If human IgM antibodies targeting the ZIKV envelope glycoproteins are present, a complex is formed consisting of the IgM, antigen, secondary antibody, and conjugate. If IgM antibodies targeting the ZIKV envelope glycoproteins are not present, then the antigen, antibody, and conjugate are washed away. The analysis of the results incorporates both the raw OD450 values and the ratios that compare the reactivity of a specimen with a given antigen in order to properly categorize the sample.
Interpretation of Test Results includes the following steps:
- Ensure that the QC Criteria are met.
- Determine the Threshold Zika Ag OD450 ●
- Calculate the Zika ISR value and CCA/NCA ratio for each specimen ●
The definitions of relevant terms used for the interpretation are described below:
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## DEFINITIONS
Zika Ag OD450: This is the raw OD450 value obtained with a specimen using the Zika Antigen. CCA OD450: This is the raw OD450 value obtained with a specimen using the Cross-reactive Control Antigen (CCA). NCA OD450: This is the raw OD450 value obtained with a specimen using the Normal Cell Antigen (NCA). Zika ISR: This is the ratio of the Zika Ag OD450 to the CCA OD450. That is, Zika ISR = Zika Ag OD450 ÷ CCA OD450. CCA/NCA ratio: This is the ratio of the CCA OD450 to the NCA OD450. That is, CCA OD450 = NCA OD450. Threshold Zika Ag OD450: This is equal to 0.130 + the average OD450 value of the Negative Control with the Zika Antigen.
## Interpretation of patient specimens:
- 1. Reactive for Zika IgM antibodies: If the specimen has a Zika Ag OD450 > Threshold Zika Ag OD450 AND Zika ISR value > 1.90, then the specimen is considered Presumptive Zika Positive and the interpretation is completed for the specimen.
- 2. Retest: If the specimen has a Zika Ag OD450 ≥ Threshold Zika Ag OD450 AND 1.50 < Zika ISR < 1.90, then the sample must be retested in duplicate. The average retest value (OD, Zika ISR and CCA / NCA ratio) should then be considered the final value. Upon retesting, if the specimen has a Zika Ag OD450 > Threshold Zika Ag OD450 AND Zika ISR value ≥ 1.70, then the specimen is considered Presumptive Zika Positive and the interpretation is completed for this specimen. If the specimen has a Zika Ag OD450 < Threshold Zika Ag OD450 OR Zika ISR value < 1.70 upon retesting, proceed with Steps (6) and (7) for further analysis.
- 3. Reactive for other Flavivirus IgM antibodies: If the specimen is NOT Presumptive Zika Positive, evaluate the CCA/NCA ratio. If the CCA/NCA ratio is ≥ 5.00, then the specimen is considered Presumptive Other Flavivirus Positive (non-Zika) and the interpretation is completed for this specimen.
- 4. Negative for Zika IgM antibodies: If the specimen is NOT Presumptive Zika Positive and NOT Presumptive Other Flavivirus Positive (non-Zika)), the specimen is considered Negative. Negative results with specimens whose Zika Ag OD are ≥ Threshold Zika Ag OD450 and that have moderate to high values for CCA (OD450 values from 0.150 - 0.600) are recommended to undergo follow-up testing.
# L. Performance Characteristics:
- 1. Analytical performance:
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## a. Precision/Reproducibility:
The reproducibility study of the ZIKV Detect 2.0 IgM Capture ELISA was performed at three sites by two opeartors at each site for 5 separate days. Each operator ran one blinded panel of specimens in triplicate on each day. In addition, three lots of ZIK V Detect 2.0 IgM Capture ELISA kits were provided for each site. For each lot of ZIKV Detect 2.0 IgM Capture ELISA, a total of 3 replicates x 3 sites x 2 operators x 5 days = 90 total replicates were performed for each panel member. Three lots of kits were used in this study. A panel consisting of five samples, including a 'negative', 'high negative', 'low positive,' 'moderate positive,' and a 'retest' specimen, were tested in this study. The ZIKV Detect 2.0 IgM Capture ELISA's total precision %CV (from the "total" standard deviation) for the ISR values ranged from 13.0% - 29.6%, depending upon the sample. The results for reproducibility are presented in Table 1 below.
Table 1. Reproducibility of the ZIKV Detect 2.0 IgM Capture ELISA
| | | | Repeatability | | Between-<br>Operator | | Between-<br>Days | | Between-Lot | | Between-Sites | | Total Precision | |
|--------------------------------------------------------------------------------------------------------------------------------------|---------------|-----|---------------|------|----------------------|------|------------------|------|-------------|------|---------------|------|-----------------|------|
| Sample ID | Mean<br>Value | N | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| Low Positive | 4.08 | 270 | 0.43 | 10.5 | 0.30 | 7.33 | 0.49 | 12.0 | 0.45 | 10.9 | 0.86 | 21.1 | 1.21 | 29.6 |
| Moderate<br>Positive | 7.85 | 270 | 0.79 | 10.0 | 0.91 | 11.6 | 0.87 | 11.1 | 0.53 | 6.76 | 1.27 | 16.2 | 2.03 | 25.8 |
| Re-test | 1.83 | 270 | 0.24 | 13.0 | 0.14 | 7.45 | 0.14 | 7.83 | 0.21 | 11.6 | 0.18 | 9.84 | 0.42 | 22.7 |
| Negative | 1.03 | 270 | 0.09 | 9.06 | 0.00 | 0.00 | 0.06 | 5.76 | 0.05 | 4.64 | 0.06 | 5.34 | 0.13 | 13.0 |
| High Negative | 1.07 | 270 | 0.14 | 13.0 | 0.00 | 0.00 | 0.06 | 5.52 | 0.04 | 3.79 | 0.07 | 6.33 | 0.17 | 16.1 |
| %CV coefficient of variation expressed as a percentage; SD standard deviation. Zero cell means the variance estimate was below zero. | | | | | | | | | | | | | | |
## b. Linearity/assay reportable range:
# Not Applicable
- c. Traceability, Stability, Expected values (controls, calibrators, or methods):
# Not applicable
- d. Detection limit:
The limit of detection (LOD) for the ZIKV Detect 2.0 IgM Capture ELISA was determined using the World Health Organization (WHO) 1st International Standard for anti-Asian lineage Zika virus antibody (human). The results for the analytical sensitivity with the WHO 1st International Standard are presented under the Analytical Sensivity below (Section f, Table 4).
- e. Analytical specificity:
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#### Cross Reactivity Studies
Cross-reactivity of the ZIKV Detect 2.0 IgM Capture ELISA was evaluated by testing specimens from patients with confirmed IgM antibodies to other microorganisms which could potentially cause false positive results. The study utilized a panel of IgM positive serum specimens sourced from patients who have been infected with potentially crossreactive microorganisms. The results for cross-reactivity are presented in Table 2 below.
| Specimen Type | # of<br>samples | # Zika<br>Positive | # Other<br>Flavivirus<br>Positive | # Non-<br>Reactive |
|------------------------------------------|-----------------|--------------------|-----------------------------------|--------------------|
| Dengue | 39 | 1a | 38 | 0 |
| West Nile Virus | 28 | 2a | 19 | 7 |
| Japanese Encephalitis | 11 | 0 | 4 | 7 |
| Eastern Equine Encephalitis Virus (EEEV) | 3 | 0 | 0 | 3 |
| Varicella-Zoster Virus | 10 | 0 | 0 | 10 |
| St. Louis Encephalitis Virus | 10 | 0 | 1 | 9 |
| Yellow Fever Vaccine Recipients | 24 | 5a,b | 1 | 18 |
| Chikungunya | 57 | 5a,c | 2 | 50 |
| Malaria | 9 | 1a | 0 | 8 |
| Syphilis | 8 | 0 | 1 | 7 |
| Rubella | 10 | 0 | 0 | 10 |
| Herpes Simplex Virusd | 20 | 0 | 0 | 20 |
| Lyme | 10 | 1a | 0 | 9 |
| Hepatitis B | 10 | 0 | 0 | 10 |
| Hepatitis C | 10 | 0 | 0 | 10 |
| Leptospirosis | 9 | 0 | 0 | 9 |
| Babesiosis | 15 | 3 | 0 | 12 |
| Parvovirus | 12 | 0 | 0 | 12 |
| Epstein-Barr Virus | 15 | 0 | 0 | 15 |
| Cytomegalovirus | 10 | 0 | 0 | 10 |
| RF | 16 | 0 | 0 | 16 |
| HAMA | 15 | 2a, c | 0 | 13 |
| ANA | 10 | 0 | 0 | 10 |
| Total: | 346 | 17 | 66 | 263 |
Table 2. Cross-reactivity of the ZIKV Detect 2.0 IgM Capture ELISA
"Dengue specimens included Dengue-1 (n = 10), Dengue-2 (n = 9), Dengue-3 (n = 10) and Dengue-4 (n = 10). Serotypes were confirmed with acute phase samples but IgM seropositivity was confirmed with convalescent phase sample draws. The ZIKV Detect™ 2.0 IgM Capture ELISA was performed with the convalescent phase sample draw.
*The following number of ZIKV Detect™ 2.0 IgM Capture ELISA Zika Positive specimens also tested as Zika Positive with the CDC Zika MAC-ELISA: 1 Dengue specimen, 1 Yellow Fever Vaccine recipient [an additional 2 specimens were Equivocal], 1 Malaria specimen, 1 Chikungunya specimen [an additional 1 specimen was Equivocal], and 2 HAMA specimens. The West Nile Virus, Lyme, and 3 Chikungunya
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specimens were negative with CDC Zika MAC-ELISA testing.
*The vellow fever vaccine recipients that were positive with the ZIKV Detect™ 2.0 IgM Capture ELISA were sourced from Colombia during a Zika virus outbreak in 2016.
°Chikungunya and HAMA specimens that tested Zika positive with ZIKV Detect™ 2.0 IgM Capture ELISA were tested with PRNT. Four Chikungunya and 2 HAMA specimens demonstrated neutralization activity with ZIKV PRNT90.
dTen (10) specimens are HSV-1 IgM positive; ten (10) specimens are HSV-2 IgM positive.
In addition, viral vector that was used to prepare Zika recombinant antigen was tested for cross-reactivity. Supernatants from cells transformed with a plasmid containing the same vector backbone as that used to generate Zika viral like particles (VLPs) show no reactivity against samples positive or negative for zika in ZIKV Detect 2.0 IgM Capture ELISA. The reactivity from these supernatants is comparable to the reactivity from cell supernatants without plasmid transformation (NCA).
## Interfering Substances
Potentially interfering substances commonly occurring in serum were evaluated with the ZIKV Detect 2.0 IgM Capture ELISA. Interfering substances included conjugated and unconjugated bilirubin (0.4 mg/mL), hemoglobin (20 mg/mL), albumin (60 mg/mL), cholesterol (5 mg/mL), triglycerides (30 mg/mL), human anti-murine antibody (HAMA) (~800 and ~80 ng/mL), and rheumatoid factor (2060 IU/mL). These interfering substances were spiked into low reactive (n=3) and normal human serum samples (n=3) to evaluate their impact on assay performance. Of the interfering substances tested, only very high levels of HAMA seemed to have a deleterious effect by decreasing Zika Ag reactivity, resulting in false negative results with the panel tested. At the lower HAMA concentration tested, no interference was observed. The results for interference are presented in Table 3 below.
| Interfering<br>Substance | Concentration<br>Tested | Effect on Low Reactive<br>Specimens | Effect on Negative<br>Specimens |
|--------------------------------|-------------------------|-------------------------------------|---------------------------------|
| Bilirubin<br>unconjugated | 0.4 mg/mL | None observed (0/3) | None observed (0/3) |
| Bilirubin conjugated | 0.4 mg/mL | None observed (0/3) | None observed (0/3) |
| Hemoglobin | 20 mg/mL | None observed (0/3) | None observed (0/3) |
| Human Serum<br>Albumin | 60 mg/mL | None observed (0/3) | None observed (0/3) |
| Cholesterol | 5 mg/mL | None observed (0/3) | None observed (0/3) |
| Intralipids<br>(triglycerides) | 30 mg/mL | None observed (0/3) | None observed (0/3) |
| HAMA | 798.7 ng/mL | Interference observed (3/3) | None observed (0/3) |
| HAMA | 79.9 ng/mL | None observed (0/3) | None observed (0/3) |
| RF | 2060 IU/mL | None observed (0/3) | None observed (0/3) |
| Table 3. Interference of the ZIKV Detect 2.0 IgM Capture ELISA | | | |
|----------------------------------------------------------------|--|--|--|
| | | | |
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# f. Analytical Sensitivity:
The purpose of this study was to estimate the limit of detection (LOD) for the ZIK V Detect 2.0 IgM Capture ELISA using the World Health Organization (WHO) 1st International Standard for anti-Asian lineage Zika virus antibody (human). Multiple dilutions of the antibody were tested in replicates of twenty. The lowest concentration at which >95% of replicates tested Presumptive Zika positive was considered the LOD. LOD was determined to be 225 IU/mL. The results for analytical sensitivity are presented in Table 4 below.
| 275 IU/mL | 250 IU/mL | 225 IU/mL | 200 IU/mL | |
|---------------------|-----------|-----------|-----------|----|
| Replicates positive | 20 | 20 | 20 | 14 |
| Replicates negative | 0 | 0 | 0 | 6 |
| | Table 4. Analytical Sensitivity of the ZIKV Detect 2.0 IgM Capture ELISA | | | | |
|--|--------------------------------------------------------------------------|--|--|--|--|
| | | | | | |
# g. IgM Class Specificity:
The specificity of the ZIKV Detect 2.0 IgM Capture ELISA for human IgM antibody was evaluated by testing Zika positive and negative samples, (b) (4)
All Zika positive samples tested negative
following the 5mM DTT treatment.
- h. Freeze-thaw Study:
The study was performed to determine the effects of freeze-thaw cyles on the stability of IgM positive serum samples analyzed by the ZIKV Detect 2.0 IgM Capture ELISA. A (b) (4)
(b) (4)
The
package insert claims the freezing and thawing of samples for a maximum of three times.
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# f. Assay cut-off:
The study was performed to determine the cut-off of the ZIKV Detect 2.0 IgM Capture ELISA. The study included a testing of eight hundred thirty five (835) specimens that included 72 Zika positive, 198 other flavivirus positive, and 565 other disease positive and negative serum specimens. Receiver Operating Characteristic (ROC) curve analyses were performed to optimize for those cut-off values that maximize both sensitivity and specificity. A rudimentary bootstrap method was applied to minimize bias by any potential outliers in the sample set.
- 2. Comparison studies:
- a. Method comparison with predicate device:
Not Applicable
- b. Matrix comparison:
Not Applicable
- 3. Clinical studies:
- a. Clinical Sensitivity:
Not Applicable
- b. Clinical specificity:
Not Applicable
- C. Other clinical supportive data (when a. and b. are not applicable):
# Clinical Studies:
Test samples were collected from endemic sites (both presumed positive and presumed negative samples) and from non-endemic sites (presumed negative samples). Of the 609 subjects, 31 provided serial draws after confirmation of zika infection. These subjects returned for serum collections up to five times, ranging from 0-84 days post symptoms onset. Another 50 subjects from zika endemic areas provided paired acute/convalescent draws. A total of 807 unique samples were collected from 609 subjects.
All samples were shipped to InBios for aliquoting and randomization and then distributed among three sites in the United States for testing using the ZIKV Detect 2.0 IgM Capture ELISA. Test results with the ZIKV Detect 2.0 IgM Capture ELISA were compared to a composite reference method that included a validated Zika RT-PCR and CDC Zika
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MAC-ELISA. Positive percent agreement (PPA) and negative percent agreement (NPA) for the endemic and non-endemic subjects are presented in Table 5 and 6 below.
| | | Composite Reference Method Results | | | |
|----------------------------------------------|------------------|---------------------------------------|-----------|----------|-------|
| | | Positive | Equivocal | Negative | Total |
| ZIKV Detect™ 2.0 IgM<br>Capture ELISA Result | Positive | 84 | 0 | 2 | 86 |
| | Other Flavivirus | 5 | 1 | 19 | 25 |
| | Negative | 4a | 0 | 238 | 242 |
| | Total | 93 | 1 | 259 | 353 |
| | PPA; 95% CI | 89.4% (84/94): 95% CI: 81.3%-94.8%) | | | |
| | NPA; 95% CI | 99.2% (257/259): 95% CI: 97.2%-99.9%) | | | |
## Table 5. ZIKV Detect 2.0 IgM Capture ELISA - Agreement Results for the Endemic Subiects
4Two of four samples were collected <7 days PSO. PPA is 91.34% without counting these two samples.
# Table 6. ZIKV Detect 2.0 IgM Capture ELISA - Agreement Results for the Non-endemic Subjects
| | | Composite Reference Method Results | | | |
|-------------------------------------------------|---------------------|---------------------------------------|-----------|----------|-------|
| | | Positive | Equivocal | Negative | Total |
| ZIKV Detect™ 2.0<br>IgM Capture ELISA<br>Result | Positive | 13 | 0 | 10 | 23 |
| | Other<br>Flavivirus | 0 | 0 | 1 | 1 |
| | Negative | 3b | 0 | 229 | 232 |
| | Total | 16 | 0 | 240 | 256 |
| | PPA; 95% CI | 81.3% (13/16): 95% CI: 54.4%-96.0%) | | | |
| | NPA; 95% CI | 95.8% (230/240): 95% CI: 92.5%-98.0%) | | | |
bThe samples were collected <7 days PSO. PPA is 100% without counting these three samples.
Note: Samples with high OD450 values for both Zika antigen and Cross-reactive Control Antigen (CCA) may be misclassified by ZIKV Detect 2.0 IgM Capture ELISA as "Presumptive Other Flavivirus Positive" rather than "Presumptive Zika Positive". Further confirmatory testing is recommended.
Specific days Post Symptom Onset (PSO) of collection was known for 744 of 807 samples. Positive percent agreement (PPA) and negative percent agreement (NPA) for combined endemic and non-endemic specimens are presented by days Post Symptom Onset (PSO) in Table 7 below. As expected for an IgM assay, the PPA is lower for PSO < 7 days. For samples collected beyond 7 days PSO, PPA is > 90%.
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| Days PSO | Number of<br>Specimens | Number of<br>True<br>Positives | Number of<br>Reference<br>Positives | PPA | Number of<br>True<br>Negatives | Number of<br>Reference<br>Negatives | NPA |
|----------|------------------------|--------------------------------|-------------------------------------|------------------|--------------------------------|-------------------------------------|--------------------|
| 0-2 | 283 | 2 | 53 | 3.8%<br>(2/53) | 228 | 230 | 99.1%<br>(228/230) |
| 3-6 | 223 | 14 | 34 | 41.2%<br>(14/34) | 187 | 189 | 98.9%<br>(187/189) |
| 7-14 | 70 | 32 | 35 | 91.4%<br>(32/35) | 34 | 35 | 97.1%<br>(34/35) |
| 15-21 | 47 | 36 | 38 | 94.7%<br>(36/38) | 9 | 9 | 100.0%<br>(9/9) |
| 22-28 | 39 | 34 | 37 | 91.9%<br>(34/37) | 2 | 2 | 100.0%<br>(2/2) |
| 29-42 | 51 | 45 | 48 | 93.8%<br>(45/48) | 3 | 3 | 100.0%<br>(3/3) |
| 43-84 | 31 | 30 | 31 | 96.8%<br>(30/31) | 0 | 0 | N/A |
Table 7. ZIKV Detect 2.0 IgM Capture ELISA - Agreement Results for Combined Endemic and Non-endemic Specimens by days Post Symptom Onset (PSO)
# FDA Performance Panel:
Performance of the ZIKV Detect 2.0 IgM Capture ELISA was evaluated by testing a panel of samples provided by the FDA. The FDA's panel consists of plasma samples from individuals infected with Zika, West Nile, or Dengue viruses at various stages of infection. Sample demographics and results were randomized and blinded to diagnostic developers to assess the proficiency of their tests. Performance was assessed from the subset of panel members for which an established consensus of sero-status was established.
| | | | Table 8. ZIKV Detect 2.0 IgM Capture ELISA - Agreement Results for the FDA Panel | |
|-----------------------|--------------------|-----------------------------------|----------------------------------------------------------------------------------|--------------------------------------------------------|
| | | | | |
| | | ZIKV Detect 2.0 IgM Capture ELISA | | |
| | | Presumptive<br>Zika Positive | Negative | Presumptive Other<br>Flavivirus Positive<br>(non-Zika) |
| Zika IgM<br>Consensus | Positive<br>(n=24) | 24 | 0 | 0 |
| | Negative<br>(n=12) | 0 | 12 | 0 |
PPA: 100% (24/24); NPA: 100% (12/12)
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| | | ZIKV Detect 2.0 IgM Capture ELISA | | |
|--------------------------------|----------------------|---------------------------------------------------|------------------------------|-------------------------------------------------------------------------|
| | | Presumptive<br>Zika Positive<br>(False Positives) | Negative<br>(FalseNegatives) | Presumptive Other<br>Flavivirus Positive<br>(non-Zika, Correct<br>Call) |
| Cross-reactivity<br>Evaluation | West Nile<br>*(n=10) | 1 | 1 | 8 |
| | Dengue<br>*(n=10) | 0 | 6 | 4 |
# Table 9. ZIKV Detect 2.0 IgM Capture ELISA - Cross-reactivity with the FDA Panel
*Note these were single bleeds that were positive for West Nile Virus or Dengue and negative for Zika. They should have been classified as Presumptive Other Flavivirus Positive (non-Zika) with the ZIK V Detect 2.0 IgM Capture ELISA.
This evaluation was performed using samples provided by (b) (4) from a study supported by Contract No.
(b) (4) from the National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health. The panel composition and consensus results are the responsibility of the FDA and do not necessarily represent the official views of BSRI, the NHLBI, or the National Institutes of Health.
- 4. Clinical cut-off:
Not Applicable
# 5. Expected values/Reference range:
Of 609 subjects enrolled for the clinical study, 466 subjects from the non-endemic and endemic sites reported both age and gender and did not provide serial draws. The serum samples were prospectively collected from these subjects. The reactivities of the ZIK V Detect 2.0 IgM Capture ELISA with the endemic and non-endemic population are shown in the tables below.
| Table 10. Expected Results from an Endemic Site |
|-------------------------------------------------|
| ZIKV RNA |
| Age<br>Group<br>(years) | Total No.<br>of<br>Subjects | Number<br>of<br>Males | Number<br>of<br>Females | Number<br>of<br>Reactive | Number<br>of non-<br>Reactive | %<br>Reactive |
|-------------------------|-----------------------------|-----------------------|-------------------------|--------------------------|-------------------------------|---------------|
| 5-18 | 72 | 35 | 37 | 0 | 72 | 0.0% |
| 19-30 | 83 | 42 | 41 | 2 | 81 | 2.5% |
| 31-49 | 70 | 37 | 33 | 3 | 67 | 4.5% |
| 50-64 | 18 | 9 | 9 | 0 | 18 | 0.0% |
| 65+ | 7 | 3 | 4 | 0 | 7 | 0.0% |
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| Age<br>Group<br>(years) | Total No.<br>of<br>Subjects | Number<br>of<br>Males | Number<br>of<br>Females | Number<br>of<br>Reactive | Number<br>of non-<br>Reactive | %<br>Reactive |
|-------------------------|-----------------------------|-----------------------|-------------------------|--------------------------|-------------------------------|---------------|
| 5-18 | 7 | 3 | 4 | 0 | 7 | 0.0% |
| 19-30 | 54 | 22 | 32 | 2 | 52 | 3.8% |
| 31-49 | 68 | 32 | 36 | 0 | 68 | 0.0% |
| 50-64 | 51 | 22 | 29 | 0 | 51 | 0.0% |
| 65+ | 36 | 13 | 23 | 1 | 35 | 2.9% |
Table 11. Expected Results from an Non-endemic Site
# M. Proposed Labeling:
The labeling supports the decision to grant the De Novo request for this device.
| Identified Risks to Health | Mitigation Measures |
|------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Risk of false results | Certain device description, performance characteristics, and<br>study details in labeling<br>Certain device description, validation procedures, and studies<br>Certain device limitations in labeling |
| Failure to correctly interpret<br>test results | Certain device description, performance characteristics, and<br>study details in labeling<br>Certain device limitations in labeling |
| Failure to correctly operate<br>the device | Certain device description, performance characteristics, and<br>study details in labeling<br>Certain device description, validation procedures, and studies<br>Certain device limitations in labeling |
# N. Identified Risks to Health and Mitigation Measures:
# O. Benefit/Risk Analysis:
# Summary of the Assessment of Benefit
The benefit of the assay is the appropriate diagnosis of Zika virus infection. Appropriate diagnosis of Zika virus can be helpful, particularly in pregnant women with relevant epidemiologic exposure, with or without symptoms. While treatment for all patients with Zika virus infection is generally supportive care, the diagnosis of Zika virus infection can inform pregnant women of the potential increased risk of major central nervous system anomalies associated with congenital infection, even if the neonate's mother is asymptomatic. A positive or negative result will inform further clinical decisions and improve patient knowledge regarding the condition. A positive result may change patient management by leading a clinician to further evaluate the potential for central nervous
{13}------------------------------------------------
system anomalies via imaging, which can help a clinician and a pregnant woman make further decisions regarding the pregnancy. In addition, a positive result may prevent further tests and improper treatment of the patient, by providing a likely diagnosis.
If treatment for Zika virus infection becomes available in the future, a diagnosis using this assay will facilitate treatment. A negative result may inform a clinician and patient that a fetus is not at risk of congenital abnormalities due to Zika virus. Additionally, it will inform a clinician and patient that there are likely no further steps indicated specifically to manage Zika infection. This assay provides the added advantage of possibly detecting IgM antibodies to other flaviviruses, for which cross-reactivity has been reported in the literature.
#### Summary of the Assessment of Risk
The risks associated with the device, when used as intended, are those related to the risk of false test results, failure to correctly interpret the test results, and failure to correctly operate the instrument.
Risks of a false positive test are improper patient management, including cessation of investigation for other disease processes, potentially missing the opportunity to properly treat the patient. A false positive test in a pregnant woman may result in anxiety for the patient and further testing, such as an ultrasound, as well as closer monitoring. It may also lead a woman and her clinician to make insufficiently informed decisions regarding the pregnancy.
Risks of a false negative test include improper patient management, including continuation of an etiology for a patient's symptoms, which usually consists of further history, physical examination, and testing.
In addition, the risk of a false negative test in a pregnant woman is missing the opportunity to inform the patient of the potential increased risk of major central nervous system anomalies associated with congenital infection. It may also preclude a woman and her clinician from making an informed decision regarding the pregnancy.
The risk of false test results is mitigated by inclusion of performance characteristics from analytical and clinical studies in the labeling, as well as the limiting statement in labeling that a negative test result does not preclude the possibility of Zika virus infection and that negative results may be seen in specimens collected before day four post onset of symptoms or after the window of detectable IgM closes.
The risks of failure to correctly interpret the results or to correctly operate the instrument are similar to the risks of false test results explained above.
These risks are mitigated by inclusion in the labeling of a detailed description of what the device detects, the specimen type for which testing is indicated, the type of results provided to the user in the intended use statement, as well as a detailed explanation of the interpretation of results. Any risks are further mitigated by inclusion of detailed
{14}------------------------------------------------
directions for use in the package insert, such that the operator can successfully use the instrument.
# Summary of the Assessment of Benefit-Risk
General controls are insufficient to mitigate the risks associated with the device. However, the probable clinical benefits outweigh the potential risks for the proposed assay, considering the mitigations of the risks provided for in the special controls. The proposed assay labeling will facilitate accurate assay implementation and interpretation of results. The performance observed in the clinical trial suggests that errors will be uncommon and that the assay may provide substantial benefits to patients.
# P. Patient Perspectives:
This submission did not include specific information on patient perspectives for this device.
# Q. Conclusion:
The information provided in this de novo submission is sufficient to classify this device into class II under regulation 21 CFR 866.3935. FDA believes that the special controls, in combination with the general controls, provide a reasonable assurance of the safety and effectiveness of the device type. The device is classified under the following:
Product Code: QFO
Device Type: Zika virus serological reagents
Class: II (special controls)
Regulation: 21 CFR 866.3935
- Identification. Zika virus serological reagents are in vitro diagnostic devices that consist (a) of antigens or antibodies for the detection of Zika virus or Zika antibodies in human specimens from individuals who have signs and symptoms consistent with Zika virus infection and/or epidemiological risk factors. The detection aids in the diagnosis of current or recent Zika virus infection or serological status. Negative results obtained with this test do not preclude the possibility of Zika virus infection, past or present. Positive results should be interpreted with consideration of other clinical information and laboratory findings and should not be used as the sole basis for treatment or other patient management decisions.
- (b) Classification: Class II (special controls). The special controls for this device are:
- (1) The labeling required under 21 CFR 809.10(b) must include:
- (i) An intended use with a detailed description of what the device detects (Zika IgM antibodies, other Zika antibodies, or Zika antigens), the type of results provided to
{15}------------------------------------------------
the user, the specimen type for which testing is indicated (e.g., serum, whole blood), the clinical indications appropriate for test use, and the specific population(s) for which the test is intended.
- (ii) Performance characteristics from analytical and clinical studies required under paragraphs (b)(2)(ii) and (b)(2)(iii) of this section.
- (iii) A detailed explanation of the interpretation of results and criteria for validity of results (e.g., criteria that internal or external quality controls must meet in order for a test/test run to be valid, minimum signal strength that the sample has to yield to be interpretable as a valid result).
- (iv) Limiting statements indicating that:
- a. Results are not intended to be used as the sole basis for diagnosis, treatment, or other patient management decisions. The test results should be interpreted in conjunction with clinical observations, patient history, epidemiological information, and other laboratory evidence.
- b. Device results are intended to be followed up according to the latest professional guidelines (e.g., recommendations from the Centers for Disease Control and Prevention) for the diagnosis of Zika virus infection.
- c. Negative test results do not preclude the possibility of Zika virus infection, past or present.
- d. Specimens can result in false negative results on the device if collected outside of the appropriate response window for specific Zika virus antigens or antibodies, as determined by scientific evidence (e.g., for IgM < 7 days post symptom onset (pso) or risk of exposure and if collected past 84 days pso).
- Detailed instructions for use that minimize the risk of generating a false positive (v) or false negative result (e.g., co-testing of other matrices).
- Design verification and validation must include: (2)
- (i) A detailed device description, including all device parts (e.g., Zika antigen target, other flavivirus antigen target, capture antibodies), instrument requirements, ancillary reagents required but not provided, and the technological characteristics, including all pre-analytical methods for specimen processing.
- (ii) Detailed documentation and results from analytical performance studies including: characterization of the cut-off(s), analytical sensitivity to a standardized reference material that FDA has determined is appropriate (e.g., World Health Organization reference standard or the Centers for Disease Control and Prevention reference standard), class specificity for human antibodies (e.g., IgM or IgG), analytical specificity (cross reactivity includingf cross reactivity to other flaviviruses), interference, carryover/cross contamination, specimen stability, hook effect (if applicable), matrix equivalency (if applicable), freeze-
{16}------------------------------------------------
thaw studies (if applicable), and reproducibility.
- (iii) Detailed documentation and results from clinical studies, including the clinical study protocol (with a description of the testing algorithm and results interpretation table), detailed clinical study report, including line data of the clinical study results, and other appropriate statistical analysis. The samples used in the clinical study must be collected from subjects representative of the full spectrum of the intended use population (e.g., endemic and non-endemic regions if both are indicated).
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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.