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The Dexcom G6 Continuous Glucose Monitoring System) is a real time, continuous glucose monitoring device indicated for the management of diabetes in persons age 2 years and older.

The Dexcom G6 System is intended to replace fingerstick blood glucose testing for diabetes treatment decisions. Interpretation of the Dexcom G6 System results should be based on the glucose trends and sequential readings over time. The Dexcom G6 System also aids in the detection of evisodes of hyperglycemia, facilitating both acute and long-term therapy adjustments.

The Dexcom G6 System is also intended to autonomously communicate with digitally connected devices, including automated insulin dosing (AID) systems. The Dexcom G6 System can be used alone or in conjunction with these digitally connected medical devices for the purpose of managing diabetes.

The proposed Dexcom G6 CGM System is based on the same physical principles and fundamental design as the predicate but includes an alternative receiver. This receiver has identical hardware to the G7 receiver (K213919). The Dexcom G6 CGM System is designed to function as intended with either the proposed or current commercial receiver. The proposed receiver has the same function as the commercial receiver.

The Dexcom G6 Continuous Glucose Monitoring System is an interoperable connected device that measures and displays glucose values for patients with diabetes. The G6 CGM System consists of three main components: a sensor/applicator, a Bluetooth Low Energy (BLE) transmitter, and a BLE enabled display device (receiver and/or mobile application). The sensor is a small and flexible wire, which is inserted by the applicator into subcutaneous tissue where it converts ducose into electrical current. The sensor has an expected wear time of up to 10 days. The transmitter is connected to the sensor and is worn on the body. The transmitter samples the electrical current produced by the sensor and converts these measurements into estimated glucose values (EGV) using an onboard algorithm. The transmitter sends glucose data to the receiver and/or mobile app, which displays the current qlucose reading (updated every 5 minutes) and glucose trends. The receiver and/or mobile app also alerts the user when glucose levels are outside of a target zone and when other important system conditions occur. The G6 CGM System is designed to be used alone or in conjunction with digitally connected devices. The G6 CGM System can communicate Estimated Glucose Values (EGV) and other information wirelessly and securely to and from these digitally connected devices.

Based on the provided text, the acceptance criteria and study details for the Dexcom G6 Continuous Glucose Monitoring (CGM) System are not explicitly detailed in a table format with specific performance metrics. This document primarily focuses on demonstrating substantial equivalence to a predicate device, K221259, rather than presenting a comprehensive clinical performance study.

However, I can infer some information based on the context:

Acceptance Criteria and Reported Device Performance

The document states that the proposed Dexcom G6 CGM System performs "according to specifications and meets the technological and performance criteria which have not changed from the predicate device." This implies that the acceptance criteria for the new device are the same as those established for the predicate device (Dexcom G6 CGM System, K221259). Since the core components (sensor, applicator, transmitter, and app requirements) are the same, the performance is expected to be identical to the predicate.

While quantitative acceptance criteria are not explicitly listed in this document, for CGM devices, such criteria typically relate to accuracy, precision, and reliability of glucose measurements compared to a reference method (e.g., YSI analyzer for blood glucose). The predicate device would have met specific MARD (Mean Absolute Relative Difference) targets and operated within defined accuracy zones (e.g., Consensus Error Grid Analysis).

Inferred Table of Acceptance Criteria and Reported Device Performance:

Study Details:

1. Sample size used for the test set and the data provenance:
   The document states: "Therefore, performance testing and software verification and validation testing completed for the predicate device (K221259) remain applicable." This indicates that the performance data used to demonstrate safety and effectiveness for this specific submission (K223931) is largely derived from the studies conducted for the predicate device (K221259). As such, the sample size and data provenance for the predicate device's original studies would be relevant, but are not provided in this document. For K223931, the testing specifically focused on the new receiver.

   • No specific sample size for a test set is provided within this document for K223931.
   • Data provenance for K223931's specific testing of the new receiver is not described (e.g., country of origin, retrospective/prospective). It mentions "firmware and hardware testing."

2. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:
   This information is not provided in the document. The ground truth for CGM studies typically involves laboratory reference methods (e.g., YSI blood glucose measurements), not expert consensus in the same way as imaging studies.

3. Adjudication method (e.g., 2+1, 3+1, none) for the test set:
   This information is not provided in the document. Adjudication methods are not typically applicable to CGM device performance studies, as ground truth is established through a quantitative laboratory reference method.

4. If a multi-reader multi-case (MRMC) comparative effectiveness study was done:
   No, an MRMC comparative effectiveness study was not done. This type of study is relevant for diagnostic imaging where human readers interpret results, often with and without AI assistance. For a CGM device, the performance is measured against a quantitative reference method, not human interpretation.

5. If a standalone (i.e. algorithm only without human-in-the loop performance) was done:
   Yes, implicitly. The core of a CGM system's performance, particularly its accuracy (MARD, CEGA), is essentially a standalone (algorithm-only) assessment, as the device's algorithm generates the glucose values. The document states the "Glucose Value Estimation Algorithm" is a "Joint Probability Algorithm" which is the "Same" as the predicate. The performance testing for the predicate would have covered this standalone aspect.

6. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):
   While not explicitly stated for K223931, CGM studies generally use laboratory reference blood glucose measurements (e.g., YSI glucose analyzer) as the ground truth. This is the standard for evaluating the accuracy of glucose monitoring devices.

7. The sample size for the training set:
   The document does not provide information regarding the sample size for the training set. Since the "Glucose Value Estimation Algorithm" is the "Same" as the predicate device, it implies that the algorithm was trained using data collected for the development of the original G6 system.

8. How the ground truth for the training set was established:
   The document does not provide information on how the ground truth for the training set was established. However, similar to the test set, it would typically be established using laboratory reference blood glucose measurements during the development and training phases of the original Dexcom G6 system's algorithm.

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