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The devices in this product family are used to dispense liquid nutrients (feeding solution) at a preprogrammed pump or user controlled rate. These enteral feeding sets interface with the patient's feeding tube and may use gravity or an enteral feeding pump to dispense feeding solution. The devices may include a bag to contain the feeding solution and/or a spike to connect to a prefilled container.

These enteral feeding sets are designed to be used with or without an enteral feeding pump, (pump is not in scope for this 510k) model specific. Refer to diagrams below for explanation of components. The enteral sets terminate in a bonded conical connector, the ENFit connector; that is designed to be incompatible with ISO 594-1/2 and other non-enteral feeding connections. The ENFit connector is a new connector and it is anticipated that not all patient feeding tubes will be compatible with it, so the administration sets include an adapter that connects to the ENFit connector on one end while providing the traditional "Christmas Tree" shaped transitional stepped connector on the other.

This document appears to be a 510(k) summary for an enteral feeding set, which is a medical device. Based on the provided text, the device is not an AI/ML device. Therefore, the specific criteria for AI/ML device studies (such as sample sizes for test/training sets, number of experts for ground truth, adjudication methods, MRMC studies, or standalone performance) are not applicable or detailed in this document.

The document primarily focuses on demonstrating substantial equivalence to a predicate device, as required for 510(k) submissions. This is achieved through non-clinical performance data.

Here's an analysis of the acceptance criteria and supporting study information, focusing on the available details from the provided text:

1. Table of Acceptance Criteria and Reported Device Performance

The document lists various non-clinical tests performed to support substantial equivalence. While specific quantitative acceptance criteria are not explicitly stated in a table format in the provided text, the performance is reported as "Passed" or "Acceptable" for each test.

2. Sample size used for the test set and the data provenance

Not applicable for an AI/ML device. For this physical medical device, specific sample sizes for tests like bond strength or leak testing are not provided in the summary. The provenance would be the manufacturing facility where the tests were performed.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

Not applicable. This is a physical device, and its performance is evaluated against engineering specifications and industry standards, not through expert-labeled ground truth in the context of an AI/ML model.

4. Adjudication method for the test set

Not applicable. This is a physical device.

5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

No. This is not an AI/ML device.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

No. This is not an AI/ML device.

7. The type of ground truth used

The "ground truth" for this device is defined by:

• Engineering specifications: The device's design inputs and required performance characteristics.
• Industry standards: Notably ISO 80369-3 for small-bore connectors.
• Predicate device performance: The new device is compared to a legally marketed predicate device (K012147) to demonstrate similar safety and effectiveness.

8. The sample size for the training set

Not applicable. This is not an AI/ML device.

9. How the ground truth for the training set was established

Not applicable. This is not an AI/ML device.

Summary for the provided document:

The document describes an enteral feeding set, which is a physical medical device, not an AI/ML device. Therefore, most of the requested information pertaining to AI/ML device studies (such as test/training set sample sizes, expert ground truth, adjudication methods, MRMC studies, or standalone algorithm performance) is not relevant or available in this submission.

The device's conformity is established through non-clinical performance data, showing that it "Passed" or was "Acceptable" for a series of tests related to its physical integrity, biocompatibility, connection safety (especially ISO 80369-3 compliance), human factors, and risk management. The "ground truth" here refers to the device meeting its design specifications and applicable industry standards. The submission asserts substantial equivalence to a predicate device based on these non-clinical tests, without requiring clinical testing.

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The devices in this product family are used to dispense liquid nutrients (feeding solutions) at a user controlled rate. These enteral feeding sets interface with the patients feeding tube and may use gravity or an enteral feeding pump to dispense feeding solution. The devices may include a bag to contain the feeding solution and/or a spike to connect to a pre-filled container. These devices are food contacting.

Dynarex is substantially equivalent in safety and effectiveness to the Zevex, Inc. Enteral Feeding Sets for Gravity and Pump Use in that both products have the same principles of operation, form and function and meet the same safety requirements under Class VI testing and functional Luer taper testing as required by the referenced standard.

Here's a breakdown of the acceptance criteria and study information based on the provided text:

1. Table of Acceptance Criteria and Reported Device Performance

2. Sample Size Used for the Test Set and the Data Provenance

The document does not specify a separate "test set" in the sense of a clinical or image-based dataset. The testing described focuses on material properties and physical conformance.

• Sample Size for testing: Not explicitly stated for each test (e.g., number of devices tested for Luer taper inspection). However, it implies testing was conducted on samples of the Dynarex Enteral Feeding Sets.
• Data Provenance: The testing was conducted by Dynarex Corporation to demonstrate substantial equivalence to the predicate device. The document does not specify a country of origin for the data beyond Dynarex being a US-based company, and the nature of the tests suggests laboratory or bench testing rather than patient data. It is therefore prospective with respect to the device's design and testing.

3. Number of Experts Used to Establish the Ground Truth for the Test Set and the Qualifications of Those Experts

Not applicable. This is a medical device clearance based on substantial equivalence to a predicate device, primarily through material and functional characteristic comparison, and safety testing (biocompatibility, physical standards). It does not involve expert interpretation of medical images or patient outcomes in the way an AI/ML device would.

4. Adjudication Method for the Test Set

Not applicable. See point 3.

5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was Done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

Not applicable. This is not an AI/ML device, nor does it involve human readers interpreting cases.

6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) was Done

Not applicable. This is not an AI/ML device.

7. The Type of Ground Truth Used

The "ground truth" for this submission is based on established industry standards and validated test methods for material biocompatibility (Class VI USP) and physical performance (AAMI/ANSI ID54.1996/(R)2005). The comparison is also made against the specifications and performance of the legally marketed predicate device (Zevex, Inc. Enteral Feeding Sets for Gravity and Pump Use K012147), which serves as a benchmark for substantial equivalence.

8. The Sample Size for the Training Set

Not applicable. This is not an AI/ML device; there is no "training set."

9. How the Ground Truth for the Training Set Was Established

Not applicable. See point 8.

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