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The DUS R-50S System provides a qualitative measurements for specific gravity, pH, leukocytes, nitrite, protein, glucose, ketone, urobilinogen, bilirubin, blood, microalbumin and creatinine in urine specimens. These measurements are used to aid in the diagnosis of metabolic disorders, kidney function anomalies, urinary tract infections and liver function. The system is intended for prescription, in vitro diagnostic use only.

The DUS R-50S (Urine Chemistry system) is a portable analyzer. It is designed to read only DUS Series for urinalysis. This analyzer reports semi-quantitatively assays for 12 urine analytes [Leukocyte, Nitrite, Urobilinogen, Protein, pH, Blood, Specific gravity, Ketone, Bilirubin, Glucose, Microalbumin, Creatinine]. Reagent strip results are automatically displayed on the screen. The DUS R-50S is intended for in vitro diagnostic use only

The DUS R-50S (Urine Chemistry system) device is intended for qualitative and semi-quantitative measurements of various analytes in urine specimens to aid in diagnosing metabolic disorders, kidney function anomalies, urinary tract infections, and liver function.

Here's an analysis of the acceptance criteria and the study that proves the device meets them:

1. Table of Acceptance Criteria and Reported Device Performance

The acceptance criteria are generally implied by the requirement for "very high concordance of between 90-100%" with the predicate device and the "majority of analysis display 90-100 % concordance over all blocks." The detailed "Exact agreement (%)" and "Within one block (%)" values for each analyte serve as the reported device performance against these implicit acceptance criteria.

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

The method comparison study was conducted with a total of 867 samples. The data provenance is described as being collected at three clinical sites. The document does not specify the country of origin of the data, but the submitter information lists DFI Co., Ltd. in Korea. The study appears to be retrospective, as it compares the new device results against a legally marketed predicate device using collected samples.

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

The document does not explicitly mention the use of experts to establish ground truth for the test set. Instead, the performance is evaluated by "method comparison" against a predicate device (Siemens Clinitek Status + urine chemistry instrument). The predicate device's results are considered the reference for comparison.

4. Adjudication Method for the Test Set

There is no mention of an adjudication method involving human experts for the test set. The comparison is directly between the new device and the predicate device.

5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

A multi-reader multi-case (MRMC) comparative effectiveness study was not conducted as per the provided information. The study focuses on comparing the new device's analytical performance against a predicate device, not on human reader performance with or without AI assistance.

6. Standalone Performance Study

Yes, a standalone performance study was done in the form of a method comparison study where the DUS R-50S (DUS R-50S instrument, DUS10 and DUS2AC reagent strips) was compared to the predicate device (Siemens Clinitek Status + urine chemistry instrument using Multistix 10SG and CLINITEK Microalbumin 2 test strips). This evaluates the algorithm and device's performance directly.

7. Type of Ground Truth Used

The "ground truth" for the test set was the results obtained from the predicate device, specifically the Siemens Clinitek Status + urine chemistry instrument using Multistix 10SG and CLINITEK Microalbumin 2 test strips.

8. Sample Size for the Training Set

The document does not explicitly specify a separate sample size for a "training set." The performance evaluation focuses on the method comparison study using 867 samples. For a 510(k) submission for an in vitro diagnostic device, the manufacturer typically performs internal validation and verification studies during development, but the detailed breakdown of training data vs. test data for algorithm development is not typically part of the regulatory submission summary provided.

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

Since a "training set" is not explicitly mentioned or detailed, the method for establishing its ground truth is not provided. If an algorithm was developed using machine learning, the ground truth for training would generally be established by laboratory reference methods or expert interpretation of the results from traditional methods, similar to how the predicate device results are used for the test set.

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