K153303 · Euroimmun Us, Inc. · NOP · Aug 10, 2016 · Microbiology
Device Facts
Record ID
K153303
Device Name
EUROIMMUN Anti-West Nile Virus ELISA (IgG)
Applicant
Euroimmun Us, Inc.
Product Code
NOP · Microbiology
Decision Date
Aug 10, 2016
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.3940
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K153303 · Aug 10, 2016
EUROIMMUN Anti-West Nile Virus ELISA (IgG)
Euroimmun Us, Inc.
Retrospective clinical serum samples from historical West Nile fever outbreaks (1974 and 1984)
Retrospective clinical samples were used to evaluate the sensitivity and specificity of the device against the plaque reduction neutralization test (PRNT) reference method.
Retrospective clinical study with Robert Koch Institute; Retrospective clinical study; Study Period: 1974 and 1984
Patients from major outbreaks of West Nile fever in South Africa (1974 and 1984); Sample Size: 295; Number of Sites: 1 (in cooperation with Robert Koch Institute)
Plaque reduction neutralization test (PRNT)
Sensitivity and specificity
Indications for Use
The EUROIMMUN Anti-West Nile Virus ELISA (IgG) is intended for the qualitative detection of IgG antibodies to West Nile virus in human serum and plasma (K⁺-EDTA, Li⁺-heparin). This test is intended as an aid in the presumptive laboratory diagnosis of West Nile virus infection in patients with clinical symptoms consistent with meningitis/encephalitis, in conjunction with other laboratory and clinical findings. Positive results must be confirmed by the plaque reduction neutralization test (PRNT) or by using the current CDC guidelines for diagnosis of this disease. The assay characteristics have not been established for testing cord blood, neonates, prenatal screening, and general population screening of patients without symptoms of meningoencephalitis. This assay is not FDA cleared or approved for testing blood or plasma donors.
Device Story
The EUROIMMUN Anti-West Nile Virus ELISA (IgG) is an in vitro diagnostic test for qualitative detection of IgG antibodies to West Nile virus in human serum or plasma. The device uses microtiter wells coated with recombinant, detergent-extracted glycoprotein E of West Nile virus. Patient samples are incubated in the wells; if IgG antibodies are present, they bind to the antigen. After washing, an anti-human IgG horseradish peroxidase (HRP) conjugate is added, followed by a TMB substrate. The resulting color change is measured photometrically at 450 nm. The device is intended for use in clinical laboratories by trained personnel. Results are reported as a ratio; positive results require confirmation via PRNT or CDC guidelines. The assay aids in diagnosing West Nile virus infection in symptomatic patients. Cross-reactivity with other flaviviruses (Dengue, Chikungunya, Zika, Tick-borne Encephalitis) is possible and must be reported with a caution statement.
Clinical Evidence
Clinical performance evaluated across three studies (n=152, n=401, n=295). Study I (n=152) showed 93.3% positive agreement and 94.4% negative agreement vs. predicate; sensitivity 92.6% vs. PRNT. Study II (n=401) showed 95.6% positive agreement and 98.9% negative agreement vs. predicate. Study III (retrospective, n=295) showed 99.5% positive agreement and 97.0% negative agreement vs. PRNT. Analytical specificity testing identified cross-reactivity with other flaviviruses (Dengue, Zika, TBE).
Technological Characteristics
ELISA-based qualitative assay using 96-well microtiter plates. Antigen: recombinant, detergent-extracted glycoprotein E of West Nile virus. Detection: anti-human IgG HRP conjugate with TMB substrate. Photometric reading at 450 nm (reference 620-650 nm). Manual or automated processing (though performance not established for automated instruments). Reagents include calibrator and controls.
Indications for Use
Indicated for qualitative detection of IgG antibodies to West Nile virus in human serum and plasma (K+EDTA, Li+-heparin) as an aid in presumptive diagnosis of West Nile virus infection in patients with clinical symptoms of meningitis/encephalitis. Not for cord blood, neonates, prenatal screening, general population screening, or blood/plasma donor testing. Warning: Cross-reactivity with IgG to Dengue, Chikungunya, Zika, and Tick-borne Encephalitis (TBE) viruses observed.
Regulatory Classification
Identification
West Nile virus serological reagents are devices that consist of antigens and antisera for the detection of anti-West Nile virus IgM antibodies, in human serum, from individuals who have signs and symptoms consistent with viral meningitis/encephalitis. The detection aids in the clinical laboratory diagnosis of viral meningitis/encephalitis caused by West Nile virus.
Special Controls
*Classification.* Class II (special controls). The special control is FDA's guidance entitled “Class II Special Controls Guidance Document: Serological Reagents for the Laboratory Diagnosis of West Nile Virus.” See § 866.1(e) for the availability of this guidance document.
Predicate Devices
Focus Diagnostics West Nile Virus IgG DxSelect™ (K031953)
Submission Summary (Full Text)
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K153303
B. Purpose for Submission:
Clearance of new device
C. Measurand:
IgG class antibodies to West Nile virus
D. Type of Test:
ELISA for the qualitative detection of IgG class antibodies
E. Applicant:
EUROIMMUN US, INC.
F. Proprietary and Established Names:
EUROIMMUN Anti-West Nile Virus ELISA (IgG)
G. Regulatory Information:
1. Regulation section:
21 CFR 866.3940 – West Nile virus serological reagents
2. Classification:
Class II
3. Product code:
NOP
4. Panel:
Microbiology (83)
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2
H. Intended Use:
1. Intended use(s):
The EUROIMMUN Anti-West Nile Virus ELISA (IgG) is intended for the qualitative detection of IgG antibodies to West Nile virus in human serum and plasma (K⁺-EDTA, Li⁺-heparin). This test is intended as an aid in the presumptive laboratory diagnosis of West Nile virus infection in patients with clinical symptoms consistent with meningitis/encephalitis, in conjunction with other laboratory and clinical findings. Positive results must be confirmed by the plaque reduction neutralization test (PRNT) or by using the current CDC guidelines for diagnosis of this disease.
The assay characteristics have not been established for testing cord blood, neonates, prenatal screening, and general population screening of patients without symptoms of meningoencephalitis. This assay is not FDA cleared or approved for testing blood or plasma donors.
**Warning:** Cross-reactivity with IgG to Dengue, Chikungunya, Zika and Tick-borne Encephalitis viruses has been observed with the EUROIMMUN Anti-West Nile Virus ELISA (IgG). Reactive results must be reported with a caution statement regarding possible IgG cross-reactivity with other flaviviruses.
2. Indication(s) for use:
Same as Intended Use
3. Special conditions for use statement(s):
Not Applicable
4. Special instrument requirements:
Not Applicable
I. Device Description:
The EUROIMMUN Anti-West Nile Virus ELISA (IgG) test kit contains 12 microtiter strips each with 8 break-off reagent wells coated with West Nile virus antigen. Patient samples are diluted 1:101 in sample buffer, 100 μl of each diluted patient sample and pre-diluted controls and the calibrator are added to the antigen coated microtiter wells and incubated for 60 minutes at 37°C. After incubation, the microtiter well strips are washed 3 times with wash buffer to remove unbound antibodies and 100 μl of the anti-human IgG horseradish peroxidase (HRP) enzyme conjugate reagent is added to each microtiter well. After an additional 30 minutes incubation at room temperature, the microtiter wells are again washed 3 times with wash buffer to remove any unbound enzyme conjugate and 100 μl of the chromogen substrate is added. The strips are incubated for 15 minutes at room temperature and 100 μl stop solution is added. The microtiter plates are placed in an ELISA reader and read at a wavelength of 450 nm and a reference wavelength of between 620 nm and 650 nm within 30 minutes.
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The antigen source in the EUROIMMUN Anti-West Nile Virus ELISA (IgG) is a recombinant, detergent-extracted glycoprotein E of West Nile virus from the membrane fraction of human cells
## J. Substantial Equivalence Information:
1. Predicate device name(s):
Focus Diagnostics West Nile Virus IgG DxSelect™
2. Predicate 510(k) number(s):
K031953
3. Comparison with predicate:
Similarities
| Item | New Device
EUROIMMUN Anti-West Nile Virus ELISA (IgG) (K153303) | Predicate Device
Focus Diagnostics West Nile Virus IgG DxSelect™ ELISA (K031953) |
| --- | --- | --- |
| Intended use | The EUROIMMUN Anti-West Nile Virus ELISA (IgG) is intended for the qualitative detection of IgG antibodies to West Nile virus in human serum and plasma (K⁺-EDTA, Li⁺-heparin). This test is intended as an aid in the presumptive laboratory diagnosis of West Nile virus infection in patients with clinical symptoms consistent with meningitis/encephalitis, in conjunction with other laboratory and clinical findings. Positive results must be confirmed by plaque reduction neutralization test (PRNT) or by using the current CDC guidelines for diagnosing West Nile encephalitis. This test is not intended for self-testing, and this test is not FDA cleared nor approved for testing blood or plasma donors. Assay performance characteristics have not been established for automated instruments. | The Focus Diagnostics West Nile Virus IgG DxSelect™ is intended for qualitatively detecting IgG antibodies to West Nile virus in human serum. In conjunction with the Focus Diagnostics West Nile Virus IgM Capture DxSelect™, the test is indicated for testing persons having symptoms of meningioencephalitis, as an aid in the presumptive laboratory diagnosis of West Nile virus infection. Positive results must be confirmed by neutralization test, or by using the current CDC guidelines for diagnosing West Nile encephalitis. This test is not intended for self-testing, and this test is not FDA cleared nor approved for testing blood or plasma donors. Assay performance characteristics have not been established for automated instruments. |
| Assay format | Qualitative | Same |
| Technology | ELISA | Same |
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| Assay platform | 96-well microtiter plates | Same |
| --- | --- | --- |
| Antigen | Coated on microtiter plate | Same |
| Calibrators and Controls | 1 calibrator (cut-off)2 controls: 1 positive; 1 negative | Same |
| Conjugate | Anti-human IgG (rabbit) labelled with horseradish peroxidase | Same |
| Substrate | TMB | Same |
| Wash buffer | 10x concentrate | Same |
| Serum sample dilution | 1:101 | Same |
| Procedure | Sample incubation with micro-well antigen coated plate, followed by a wash step, incubation with an anti-human IgG enzyme conjugate; wash step, incubation with substrate; stopping of the reaction with stop solution, photometric reading. | Same |
| Differences | | |
| Item | New DeviceEUROIMMUN Anti-West Nile Virus ELISA (IgG) (K153303) | Predicate DeviceFocus Diagnostics West Nile Virus IgG DxSelect™ ELISA (K031953) |
| Antigen | Recombinant, detergent-extracted glycoprotein E of West Nile virus from the membrane fraction of human cells, inactivated using high temperatures and gamma radiation; effectiveness of inactivation tested by culture | Recombinant West Nile virus antigen |
| Stop solution | 0.5 M sulphuric acid | 1 M sulfuric acid |
| Reagent preparation | All reagents, calibrator and controls are ready to use, except for the wash buffer. | Calibrator and controls require dilution before use. |
| Sample matrix | Serum or plasma (EDTA, Li-heparin), | Serum |
| Reported results | Ratio | Index |
| Cut-off levels | Ratio Result<0.8 negative≥0.8 to <1.1 borderline≥1.1 positive | Index Result< 1.30 negative≥ 1.30 to < 1.50 equivocal≥ 1.50 positive |
# K. Standard/Guidance Document Referenced (if applicable):
Class II Special Controls Guidance Document: Serological Reagents for the Laboratory
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Diagnosis of West Nile Virus, October 30, 2003.
## L. Test Principle:
In the first reaction step, diluted patient samples, calibrators and controls are incubated in the wells. Anti-West Nile virus antibodies will bind to the antigens coated in the microtiter wells. The wells are washed to remove any unbound proteins and non-specific antibodies. In a second reaction step, rabbit anti-human IgG HRP enzyme conjugate is added to each well. The enzyme conjugate will bind to any wells that have human IgG bound to the West Nile virus antigen. The wells are washed to remove any unbound HRP enzyme conjugate. Enzyme substrate (3,3,5,5 tetramethylbenzidine (TMB)) is then added. If the HRP enzyme is present in the well, the HRP enzyme will react with the TMB substrate and produce a blue color indicating a positive result. After an additional incubation time to allow the color development, a stop solution is added which turns the color from blue to yellow and inhibits further color development to allow for a stable spectrophotometric reading. The test strips are placed in a microplate reader and the optical density of the color is measured. The amount of antigen specific bound antibody is proportional to the color intensity.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/ Repeatability:
The repeatability of the EUROIMMUN Anti-West Nile Virus ELISA (IgG) was investigated by testing of a panel of 7 members prepared using natural patient samples seropositive at different levels of antibody. The inter-assay repeatability is based on 42 determinations per sample performed in 14 different runs on 7 different days (with 2 runs per day and 3 replicates per run). The data from the repeatability study is presented in the table below.
Precision/Repeatability
| No. | Mean Ratio | Within-Run | | Within Day | | Between Days | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 1 | 0.1 | 0.01 | 7.4% | 0.01 | 13.2% | 0.00 | 1.3% | 0.01 | 13.3% |
| 2 | 0.4 | 0.02 | 5.3% | 0.04 | 11.7% | 0.03 | 6.9% | 0.05 | 13.6% |
| 3 | 0.8 | 0.03 | 4.2% | 0.07 | 9.7% | 0.00 | 0.0% | 0.07 | 9.7% |
| 4 | 0.9 | 0.03 | 3.7% | 0.09 | 10.4% | 0.00 | 0.0% | 0.09 | 10.4% |
| 5 | 1.2 | 0.05 | 4.2% | 0.08 | 6.7% | 0.00 | 0.0% | 0.08 | 6.7% |
| 6 | 2.2 | 0.08 | 3.8% | 0.14 | 6.1% | 0.00 | 0.0% | 0.14 | 6.1% |
| 7 | 3.7 | 0.06 | 1.7% | 0.20 | 5.5% | 0.13 | 3.6% | 0.24 | 6.6% |
| 8 | 4.1 | 0.14 | 3.5% | 0.23 | 5.7% | 0.09 | 2.3% | 0.25 | 6.1% |
#### b. Reproducibility:
The reproducibility of the EUROIMMUN Anti-West Nile Virus ELISA (IgG) was
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investigated by testing of a panel of 7 members prepared using natural patient samples seropositive at different levels of antibody. The reproducibility is based on 60 determinations per sample performed at 3 different sites (in-house, and 2 external laboratories) for 5 days with 2 runs per day and 2 replicates per run. The data from the reproducibility study is presented in the table below.
Reproducibility
| No. | Mean Ratio | Within-Run | | Within-Day | | Between-Days | | Between-Sites | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 1 | 0.1 | 0.010 | 14.1% | 0.011 | 15.0% | 0.005 | 6.4% | 0.004 | 5.3% | 0.012 | 16.3% |
| 2 | 0.7 | 0.072 | 11.0% | 0.096 | 14.7% | 0.000 | 0.0% | 0.063 | 9.7% | 0.096 | 14.7% |
| 3 | 0.8 | 0.062 | 8.0% | 0.075 | 9.8% | 0.017 | 2.2% | 0.043 | 5.7% | 0.077 | 10.1% |
| 4 | 0.8 | 0.070 | 8.3% | 0.098 | 11.6% | 0.000 | 0.0% | 0.069 | 8.1% | 0.098 | 11.6% |
| 5 | 1.1 | 0.089 | 7.8% | 0.119 | 10.5% | 0.000 | 0.0% | 0.079 | 7.0% | 0.119 | 10.5% |
| 6 | 2.2 | 0.211 | 9.7% | 0.211 | 9.7% | 0.060 | 2.7% | 0.010 | 0.5% | 0.219 | 10.1% |
| 7 | 4.3 | 0.405 | 9.4% | 0.436 | 10.1% | 0.000 | 0.0% | 0.161 | 3.7% | 0.436 | 10.1% |
c. Linearity/assay reportable range:
Not applicable
d. Traceability, Stability, Expected values (controls, calibrators, or methods):
Not applicable
e. Detection limit:
Not applicable
f. Analytical specificity/Cross-reactivity:
Cross-reactivity was investigated using 910 serologically characterized seropositive specimens from patients with diseases other than West Nile virus. Each of the specimens included in the study was characterized with respect to disease state prior to analysis of the specimens with the EUROIMMUN Anti-West Nile Virus ELISA (IgG). Cross-reactivity across the flavivirus group is common (e.g., St. Louis encephalitis, Dengue 1, 2, 3 & 4; Murray Valley encephalitis, Japanese encephalitis, and Yellow fever viruses) as well as persons vaccinated for flaviviruses.
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Cross-reactivity
| No. | Panel | n | Anti-West Nile Virus ELISA (IgG) | | |
| --- | --- | --- | --- | --- | --- |
| | | | Positive | Negative | % Negative |
| 1 | Anti-Adenovirus | 12 | 0 | 12 | 100.0% |
| 2 | Anti-Barmah Forest virus | 20 | 0 | 20 | 100.0% |
| 3 | Anti-Borrelia burgdorferi | 54 | 3 | 51 | 94.4% |
| 4 | Anti-Chikungunya virus | 72 | 23 | 49 | 68.1% |
| 5 | Anti-Chlamydia pneum. | 12 | 0 | 12 | 100.0% |
| 6 | Anti-CMV | 12 | 0 | 12 | 100.0% |
| 7 | Anti-Dengue virus | 58 | 50 | 8 | 13.8% |
| 8 | Anti-EBV | 60 | 2 | 58 | 96.7% |
| 9 | Anti-Hanta virus | 11 | 0 | 11 | 100.0% |
| 10 | Anti-Hepatitis virus | 32 | 0 | 32 | 100.0% |
| 11 | Anti-Helicobacter pylori | 12 | 0 | 12 | 100.0% |
| 12 | Anti-HSV-1 | 39 | 2 | 37 | 94.9% |
| 13 | Anti-Influenza A | 12 | 0 | 12 | 100.0% |
| 14 | Anti-Influenza B | 12 | 0 | 12 | 100.0% |
| 15 | Anti-Leptospira | 11 | 0 | 11 | 100.0% |
| 16 | Malaria/anti-Plasmodium falciparum | 8 | 0 | 8 | 100.0% |
| 17 | Anti-Measles virus | 12 | 0 | 12 | 100.0% |
| 18 | Anti-Mumps virus | 12 | 0 | 12 | 100.0% |
| 19 | Anti-Mycoplasma pneumoniae | 12 | 0 | 12 | 100.0% |
| 20 | Anti-Parainfluenza types 1-4 | 12 | 0 | 12 | 100.0% |
| 21 | Anti-Polio virus | 37 | 1 | 36 | 97.3% |
| 22 | Anti-Ross River virus | 20 | 1 | 19 | 95.0% |
| 23 | Anti-RSV | 12 | 0 | 12 | 100.0% |
| 24 | Anti-Rubella virus | 12 | 0 | 12 | 100.0% |
| 25 | Anti-TBE virus | 118 | 33 | 85 | 72.0% |
| 26 | Anti-Toxoplasma gondii | 9 | 0 | 9 | 100.0% |
| 27 | Anti-VZV | 32 | 0 | 32 | 100.0% |
| 28 | Anti-West Nile Virus | 10 | 0 | 10 | 100.0% |
| 29 | Yellowfever virus immunization | 12 | 0 | 12 | 100.0% |
| 30 | Anti-Zika virus | 47 | 47 | 0 | 0.0% |
| 31 | Rheumatoid arthritis/polyarthritis/anti-CCP | 16 | 0 | 16 | 100.0% |
| 32 | Anti-Rheumatoid factor | 37 | 1 | 36 | 97.3% |
| 33 | Anti-nuclear autoantibodies | 33 | 1 | 32 | 97.0% |
| 34 | ANCA-associated small vessel vasculitides/ANCA | 6 | 0 | 6 | 100.0% |
| 35 | Celiac disease/anti-endomysium | 10 | 0 | 10 | 100.0% |
| 36 | Plasma cell myeloma | 14 | 0 | 14 | 100.0% |
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g. Interference:
Hemolytic, lipemic and icteric samples showed no influence on the result up to a concentration of 1000 mg/dL for hemoglobin, 2000 mg/dL for triglycerides and 40 mg/dL for bilirubin in testing with the EUROIMMUN Anti-West Nile Virus ELISA (IgG). Interferences from high protein (albumin), cholesterol, and intralipids were not investigated.
h. Assay cut-off:
The assay cut-off and borderline range was established based on a ROC analysis of 18 sera from clinically characterized positive West Nile virus patiens and 150 sera from normal healthy individuals from a non-endemic region.
The ROC analysis demonstrated optimal sensitivity (100.0%) and specificity (100.0%) at the OD value of 0.475. The calibrator was established at this cut-off OD.
The borderline range of ratio 0.8 to ratio 1.1 was established to cover at least 98% of the negative samples (148 of 150 samples) in the negative range.
Using the cut-off ratio 1.0 and borderline range of ratio 0.8 to 1.1 with the positive and negative groups mentioned above, the EUROIMMUN Anti-West Nile Virus ELISA (IgG) showed a sensitivity of 100.0% (95% C.I.: 81.5 – 100.0%) with a specificity of 98.7% (95% C.I.: 95.3 – 99.8).
2. Comparison studies:
a. Method comparison with predicate device:
The EUROIMMUN Anti-West Nile Virus ELISA (IgG) was compared with two reference assays: The predicate device Focus Diagnostics West Nile Virus IgG Capture DxSelect™ (K153303) and the plaque reduction neutralization test (PRNT).
b. Matrix comparison:
Serum vs plasma comparison: The usability of plasma was investigated using serum paired with the corresponding plasma (EDTA, Li-heparin). Passing-Bablok regression was calculated for the comparison of serum to plasma. The regression equations indicated equivalence of serum and the corresponding plasma matrices. Coefficients of determination were found to be above 0.975 and % recovery compared to serum was in the range of 92 to 109% (serum = 100%).
8
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Serum vs Plasma Comparison
| | EDTA plasma | Li-heparin plasma |
| --- | --- | --- |
| n | 20 | 20 |
| Concentration range (serum) | Ratio 0.6 - 4.1 | Ratio 0.6 - 4.1 |
| Concentration range (plasma) | Ratio 0.6 - 4.1 | Ratio 0.6 - 4.1 |
| Regression equation (y = Plasma, x = Serum) | y = -0.01 + 1.02x | y = 0.04 + 0.96x |
| 95% C.I. of intercept | -0.05 - 0.02 | -0.11 - 0.15 |
| 95% C.I. of slope | 0.99 - 1.05 | 0.89 - 1.10 |
| Coefficient of determination R² | 0.9983 | 0.9759 |
| Mean % recovery | 101 % | 100 % |
| Range of % recovery | 98 - 105 % | 92 - 109 % |
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 Study I:
A prospective clinical study was performed with 152 samples from patients suspected of West Nile Virus infection collected at hospitals and clinics across the US in year 2015. The panel consisted of 81 men and 71 women; the ages ranged from 6 to 85 years with a mean age of 49 years. Each specimen was tested at one internal and two external sites with the EUROIMMUN Anti-West Nile Virus ELISA (IgG) in parallel with the predicate assay. The average of three results for each clinical specimen tested at three sites was considered to calculate the positive percent agreement and negative percent agreement between the EUROIMMUN Anti-West Nile Virus ELISA (IgG) vs the predicate assay. The following results were obtained.
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10
Clinical Study I: EUROIMMUN Anti-West Nile Virus ELISA (IgG) against predicate
| Serum
n = 152 | Predicate Assay | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Borderline | Negative |
| EUROIMMUN Anti-West Nile Virus ELISA (IgG) | Positive | 42 | 1 | 1 |
| | Borderline | 2 | 0 | 4 |
| | Negative | 1 | 0 | 101 |
Positive Agreement 93.3% (42/45) 95% C.I. 81.7-98.6%
Negative Agreement 94.39% (101/107) 95% C.I. 88.2-97.9%
Of the 45 presumptive positives by the predicate device, 27 samples were further tested by PRNT and the EUROIMMUN Anti-West Nile Virus ELISA (IgG). The results are shown below.
Clinical Study I: EUROIMMUN Anti-West Nile Virus ELISA (IgG) against PRNT
| Serum
n = 27 | PRNT Results | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Borderline | Negative |
| EUROIMMUN Anti-West Nile Virus ELISA (IgG) | Positive | 25 | 0 | 0 |
| | Borderline | 1 | 0 | 0 |
| | Negative | 1 | 0 | 0 |
Sensitivity 92.6% (25/27) 95% C.I. 75.7-99.1%
## Clinical Study II:
A study was performed at a clinical laboratory in the midwest, with 401 serum samples collected prospectively from patients suspected of infection with West Nile virus. The patients consisted of 195 men and 206 women; the ages ranged from 3 to 102 years with a mean age of 47 years. The samples were tested with the EUROIMMUN Anti-West Nile Virus ELISA (IgG) in parallel with the predicate ELISA.
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Clinical Study II: EUROIMMUN Anti-West Nile Virus ELISA (IgG) against predicate
| Serum
n = 401 | Predicate Assay | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Borderline | Negative |
| EUROIMMUN Anti- West Nile Virus ELISA (IgG) | Positive | 43 | 0 | 3 |
| | Borderline | 1 | 0 | 1 |
| | Negative | 1 | 0 | 352 |
Positive Agreement 95.6% (43/45) 95% C.I. 84.9-99.5%
C Negative Agreement 98.9% (352/356) 95% C.I. 97.1-99.7%
## Clinical Study III:
A retrospective clinical study was performed in cooperation with the Robert Koch Institute (RKI), Berlin, Germany with 295 serum samples that included 200 samples from major outbreaks of West Nile fever in South Africa in 1974 and 1984. The samples were tested by PRNT and the EUROIMMUN Anti-West Nile Virus ELISA (IgG). The results are shown below.
Clinical Study II: EUROIMMUN Anti-West Nile Virus ELISA (IgG) against PRNT
| Serum
n = 295 | PRNT Results | | |
| --- | --- | --- | --- |
| | | Positive | Negative |
| EUROIMMUN Anti- West Nile Virus ELISA (IgG) | Positive | 194 | 3 |
| | Borderline | 0 | 0 |
| | Negative | 1 | 97 |
Sensitivity 99.5% (194/195) 95% C.I. 97.29-100.0%
Specificity 97.0% (97/100) 95% C.I. 91.5-99.4%
4. Clinical cut-off:
Not Applicable
5. Expected values:
Euroimmun assessed reactivity with 553 samples prospectively collected from patients in the US. The samples consisted of 50% females and 50% males. The range of positivity of different populations from the US prospective studies with the EUROIMMUN Anti-West Nile Virus ELISA (IgG) test kit are presented below.
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Expected Values from US Studies
| Age | n | Negative | Borderline | Positive | % Positive | 95% C.I. |
| --- | --- | --- | --- | --- | --- | --- |
| 0-9 | 16 | 16 | 0 | 0 | | 0.0 – 20.6% |
| 10-19 | 32 | 30 | 0 | 2 | 6.3% (2/32) | 0.8 – 20.8% |
| 20-29 | 66 | 59 | 2 | 5 | 7.6% (5/66) | 2.5 – 16.8% |
| 30-39 | 86 | 74 | 1 | 11 | 12.8% (11/86) | 6.6 – 21.7% |
| 40-49 | 89 | 76 | 1 | 12 | 13.5% (12/89) | 7.2 – 22.4% |
| 50-59 | 100 | 79 | 2 | 19 | 19.0% (19/100) | 11.8 – 28.1% |
| 60+ | 164 | 121 | 2 | 41 | 25.0% (41/164) | 18.6 – 32.3% |
| Total | 553 | 455 | 8 | 90 | 16.3% (90/455) | 13.3 – 19.6% |
# N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
# O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.