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510(k) Data Aggregation
(179 days)
iHealth COVID-19 Antigen Rapid Test
The iHealth COVID-19 Antigen Rapid Test is a visually read lateral flow immunoassay device intended for the rapid, qualitative detection of SARS-CoV-2 virus nucleocapsid protein antigen directly in anterior nasal swab specimens from individuals with signs and symptoms of COVID-19 within the first 6 days of symptom onset. This test is for nonprescription home use by individuals aged 15 years or older testing themselves, or adults testing individuals aged 2 years or older.
The iHealth COVID-19 Antigen Rapid Test does not differentiate between SARS-CoV-2.
All negative results are presumptive. Symptomatic individuals with an initial negative test result must be re-tested once between 48 and 72 hours after the first test using either an antigen test or a molecular test for SARS-CoV-2. Negative results do not preclude SARS-CoV-2 infections or other pathogens and should not be used as for treatment. Positive results do not rule out co-infection with other respiratory pathogens.
This test is not a substitute for visits to a healthcare provider or appropriate follow-up and should not be used to determine any treatments without provider supervision. Individuals who test negative and experience continued or worsening COVID-19 like symptoms, such as fever, cough and/or shortness of breath, should seek follow up care from their healthcare provider.
The performance characteristics for SARS-CoV-2 were established from October 2022 to June 2023 when the COVID-19 variant Omicron was dominant. Test accuracy may change as new SARS-CoV-2 viruses emerge. Additional testing with a lab-based molecular test (e.g., PCR) should be considered in situations where a new virus or variant is suspected.
The iHealth COVID-19 Antigen Rapid Test employs lateral flow immunoassay technology. Using this test allows for the rapid detection of nucleocapsid protein from SARS-CoV-2.
To begin the test, a self-collected anterior nares swab sample in individuals aged 15 and older or individuals between the age of 2 to 14 with a swab collected by a parent or quardian is inserted into a tube that has been pre-filled with reagent. The reagent in the tube interacts with the specimen and facilitates exposure of the appropriate viral antigens to the antibodies used in the test. The liguid in the tube, now containing the specimen, is added to the Sample Port of the COVID-19 Test Card.
If the extracted specimen contains SARS-CoV-2 antigens, a pink-to-purple T Line, along with a pink-to-purple C Line will appear on the COVID-19 Test Card indicating a positive result. If SARS-CoV-2 antigens are not present at very low levels, only a pinkto-purple C Line will appear.
Acceptance Criteria and Study to Prove Device Meets Criteria: iHealth COVID-19 Antigen Rapid Test
The iHealth COVID-19 Antigen Rapid Test is a visually read lateral flow immunoassay device intended for the rapid, qualitative detection of SARS-CoV-2 virus nucleocapsid protein antigen directly in anterior nasal swab specimens from individuals with signs and symptoms of COVID-19 within the first 6 days of symptom onset. This test is for nonprescription home use by individuals aged 15 years or older testing themselves, or adults testing individuals aged 2 years or older.
1. Table of Acceptance Criteria and Reported Device Performance
Acceptance Criteria (Implicit from provided data on clinical performance) | Reported Device Performance (Clinical Study) |
---|---|
Positive Percent Agreement (PPA): High agreement with highly sensitive molecular SARS-CoV-2 assays for positive samples. | 88.9% (95% Confidence Interval: 81.9% to 93.4%) |
Negative Percent Agreement (NPA): High agreement with highly sensitive molecular SARS-CoV-2 assays for negative samples. | 99.9%; (95% Confidence Interval: 99.3% to 100.0%) |
PPA by Days Since Symptom Onset: Expected performance across different days since symptom onset, especially higher PPA earlier in symptom onset. | Day 1: 50.0% (Note: Low sample size); Day 2: 100.0%; Day 3: 91.9%; Day 4: 88.0%; Day 5: 75.0%; Day 6: 71.4% |
Precision/Reproducibility: Consistent and reliable results across different lots, operators, and sites, particularly for negative, low positive (1x LoD), and moderate positive (3x LoD) samples. | 100% agreement for all samples (negative, 1x LoD, 3x LoD) across 3 sites, 3 operators, and 3 lots over 5 non-consecutive days. (95% CI: 99.1-100%) |
Limit of Detection (LoD): Ability to detect low concentrations of SARS-CoV-2 virus. | 1.33x10^4 TCID50/mL (665 TCID50/swab) for Omicron Variant. 4.00x10^2 IU/mL (20 IU/swab) for WHO Standard. |
Cross-Reactivity (Analytical Specificity): No false positives or interference from common respiratory pathogens and commensal organisms. | No cross-reactivity or interference observed with 53 commensal and pathogenic microorganisms (22 bacteria and 31 viruses) tested. |
Endogenous Interfering Substances: Performance not affected by common substances found in respiratory specimens or artificially introduced to the nasal cavity. | No cross-reactivity or interference observed with 31 potentially interfering substances tested at relevant concentrations. |
Hook Effect: No decrease in signal at very high concentrations of the analyte. | No Hook effect observed at 3.98x10^6 TCID50/mL (300x LoD), the highest concentration tested. |
Inclusivity (Analytical Reactivity): Ability to detect various SARS-CoV-2 variants. | Successfully detected 14 SARS-CoV-2 strains including Alpha, Beta, Gamma, Delta, Omicron, and several Omicron sub-lineages (BA.2, BA.2.3, BA.4, BA.4.6, BA.5, BQ.1, BQ.1.1, XBB), with specified lowest variant concentrations for 5/5 positive replicates. |
Flex Studies: Robustness of the test under variations in test procedure and environmental conditions. | Studies support that the test is robust with an insignificant risk of erroneous results under various conditions (swab extraction time, sample drops, development time, sample analysis delay, agitation, temperature, humidity, cassette disturbance, sample/reagent temperature, lighting). |
2. Sample Size Used for the Test Set and Data Provenance
- Test Set Sample Size: 915 individuals.
- Data Provenance:
- Country of Origin: United States (investigational sites throughout the U.S.).
- Retrospective or Prospective: Prospective. The clinical performance characteristics were evaluated in a study where subjects with signs and symptoms of COVID-19 were enrolled, collected samples, and the test was performed. Data was collected between October 2022 to June 2023.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications
The document does not explicitly state the number of "experts" used for ground truth or their specific qualifications for the clinical study.
- Ground Truth Method: The iHealth COVID-19 Antigen Rapid Test results were compared to a highly sensitive molecular FDA EUA Authorized SARS-CoV-2 assays (RT-PCR) to determine test performance. This molecular test is considered the gold standard for SARS-CoV-2 detection, establishing the definitive ground truth for the presence or absence of the virus.
4. Adjudication Method for the Test Set
The document indicates that for discordant results (false positives or false negatives against the initial comparator method), a "second FDA EUA high sensitivity molecular SARS-CoV-2 assay" was used. This suggests a form of 2+1 adjudication where the initial comparator result is one "read," the iHealth test result is the other, and a second molecular assay acts as the tie-breaker or confirmatory truth.
- Specifically:
- Of 13 false negative samples (iHealth negative, comparator positive), 1 was confirmed negative by a second molecular assay, and 12 were confirmed positive.
- Of 1 false positive sample (iHealth positive, comparator negative), it was confirmed positive by a second molecular assay.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was Done
No, an MRMC comparative effectiveness study was not explicitly done in the context of comparing human readers with and without AI assistance, as this is an antigen rapid test that is visually read by lay users. The study evaluated the standalone performance of the test as interpreted by lay users (self-testers or adult testers for children).
6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) was Done
For the clinical performance evaluation, the test was performed by lay users (individuals aged 15+ testing themselves, or adults testing individuals aged 2-14). Therefore, the clinical performance data presented (PPA, NPA) represents the device's performance with human-in-the-loop interpretation by the intended user. It is not a purely "algorithm-only" or "standalone" performance without any human involvement in interpreting the visual result. However, the device itself is a diagnostic test, not an AI/algorithm for image interpretation. The "algorithm" here (lateral flow immunoassay) is inherent to the device's physical mechanism.
Other analytical studies (precision, LoD, cross-reactivity, etc.) represent technical performance without human interpretation error as these are typically performed in a controlled lab setting by trained personnel.
7. The Type of Ground Truth Used
The primary ground truth for the clinical study (testing individuals) was established using a highly sensitive molecular FDA EUA Authorized SARS-CoV-2 assay (RT-PCR). For discordant results, a second molecular assay was used for confirmation.
8. The Sample Size for the Training Set
This document describes a premarket notification for a medical device (an antigen rapid test). It does not explicitly mention a "training set" in the context of machine learning. The term "training set" is typically used for AI/ML models. If the underlying assay development involved any statistical modeling or calibration, the data used for that would precede this type of submission. However, for a lateral flow immunoassay, the "training" involves optimizing the biochemical reagents and visual readout.
9. How the Ground Truth for the Training Set Was Established
Given that this is a lateral flow immunoassay device and not an AI/ML diagnostic, the concept of a "training set" with established ground truth as commonly understood in AI/ML is not directly applicable. The "ground truth" during the development and optimization phases would involve rigorous analytical validation using known positive and negative samples, purified viral cultures, and clinical samples characterized by gold standard molecular tests (like RT-PCR), similar to the analytical studies detailed (e.g., LoD, inclusivity, cross-reactivity) but performed during product development before clinical trials.
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