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510(k) Data Aggregation
(31 days)
EZ SURE (EXCEL) URINE MIDSTREAM PREGNANCY HOME TEST
EZESure™ (Excel) Urine Midstream Early Pregnancy Home Test is Excel Scientific, Inc.'s device for OTC use of EZ Sure™ (Excel) Urine Midstream Early Pregnancy Home Test for the qualitative detection of human chorionic gonadotropin (hCG) in urine.
The EZ Sure™ (Excel) Urine Midstream Pregnancy Home Test is a sandwich solid phase dye-conjugate non-enzyme immunoassay. The stream of urine goes directly into the absorbent windows of the reaction device. The labeled antibody dye-conjugate binds to the hCG in the specimen forming an antibody-antigen complex. This complex binds to the antibody in the positive reaction zone and produces a rose-pink color band when hCG concentration is equal to or greater than 25 mIU/mL. In the absence of hCG, there is no line formation in the positive reaction zone. The reaction mixture continues to flow through the device and migrates to the control reaction zone by producing a rose-pink color band, demonstrating that the reagents and device are functioning correctly.
Here's a breakdown of the acceptance criteria and study information for the EZESure™ (Excel) Urine Midstream Early Pregnancy Home Test, based on the provided text:
1. Table of Acceptance Criteria and Reported Device Performance
Acceptance Criteria (Implied) | Reported Device Performance |
---|---|
Agreement with predicate device (Syntron Quikpac II/BeSure Home Test) | > 99% agreement with Syntron Quikpac II (BeSure Home Test) |
Sensitivity (Cutoff) | 25 mIU/mL |
Simplicity of Use | Simple to perform (from consumer comments) |
Speed of Results | Fast (from consumer comments) |
Correct Functionality (Control Line) | Rose-pink color band in control zone demonstrates correct functioning |
Note: The document only explicitly states "greater than 99% in agreement" with the predicate device as an acceptance criterion being met. Other criteria like sensitivity, simplicity, and speed are mentioned as characteristics of the device and supported by consumer comments implicitly indicating acceptable performance.
2. Sample Size and Data Provenance
The document does not explicitly state the sample size used for the test set or the data provenance (e.g., country of origin, retrospective or prospective). It only mentions "comparative data with Syntron Quikpac II pregnancy test (BeSure Home Test)."
3. Number of Experts and Qualifications
The document does not mention the number of experts used to establish ground truth or their qualifications.
4. Adjudication Method
The document does not mention an adjudication method for the test set.
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study
A multi-reader multi-case (MRMC) comparative effectiveness study was not conducted. The study described is a comparison of the EZESure™ device's performance against a predicate device (Syntron Quikpac II/BeSure Home Test), not a study involving human readers with and without AI assistance to measure improvement.
6. Standalone (Algorithm Only) Performance Study
Yes, a standalone study comparing the EZESure™ device to a predicate device's performance was done, indicating "greater than 99% in agreement." This refers to the performance of the EZESure™ device on its own, relative to an established test.
7. Type of Ground Truth Used
The ground truth for the comparison was established by the performance of the predicate device, the Syntron Quikpac II (BeSure Home Test). The document states the EZESure™'s performance is based on "comparative data with Syntron Quikpac II pregnancy test (BeSure Home Test)." This implies that the results from the BeSure Home Test were considered the reference or "ground truth" against which the EZESure™ device was evaluated. The underlying gold standard for both tests is the detection of human chorionic gonadotropin (hCG).
8. Sample Size for the Training Set
The document does not specify a separate training set or its sample size. The description of the device's mechanism (sandwich solid phase dye-conjugate immunoassay) and the comparison study suggest a validation or performance evaluation approach rather than a machine learning "training set" in the typical sense.
9. How Ground Truth for Training Set Was Established
Since there is no mention of a separate training set for a machine learning algorithm, the concept of establishing ground truth for a training set in this context is not applicable. The device's performance and "agreement" are based on its ability to detect hCG at a specific cutoff, validated against an existing, marketed test.
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