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The CO2 Sampling lines are the single patient, disposable device intended for monitoring expired gases from the patient.
Environment of use – hospital, sub-acute, and pre-hospital settings.
Patient population – Patients requiring expired gas monitoring.

Barbaras Development Inc. CO2 Sampling lines are the accessories in breathing system and intended for sampling of exhaled gases for monitoring, typically end-tidal CO2.

The Barbaras Development Inc. CO2 sampling lines are used to connect between the patient's end of the breathing system and the distant analyzer, such as the capnograph monitor, along this tube, the patient's breath is continuously sampled. the gas sampling is exhaust only and there is no gas flow back to patient.

The Barbaras Development Inc. CO2 Sampling Lines are a disposable, single patient use that allow to sample of patients exhaled gases. It consists of flexible extruded plastic tubes with and standard connectors on each end. We will present several different configurations like have the filter or without filter in the middle which have been tested and compared to predicates.

The Barbaras Development Inc. CO2 Sampling Lines are offered in the following models: 0184 CO2 Sampling line, 0184T CO2 Sampling line, 0139 CO2 Sampling line, 0182 CO2 Sampling line.

Gas sampling devices are not specific to a particular exhaled gas monitor. Almost all gas sampling line are connected to the monitor via a standard luer fitting, whether it is a female or male fitting.

The provided FDA 510(k) clearance letter details the clearance of CO2 Sampling lines manufactured by Barbaras Development Inc. The clearance is based on substantial equivalence to a predicate device, Tylenol Medical Instruments Co., Ltd - K181981 - CO2 sampling line, and a reference device, ProMedic – Gas Sampling Lines – K023579.

It's important to note that this document is a 510(k) summary for a medical device that is an accessory (CO2 sampling lines) and not an AI/ML powered diagnostic or prognostic tool. Therefore, many of the requested elements, such as MRMC studies, effect size of AI assistance, standalone algorithm performance, number of experts for ground truth, adjudication methods, and training set details, are not applicable to this type of device and are not present in the provided text. The evaluation focuses on physical characteristics, material compatibility, and basic performance parameters against established standards.

Here's the breakdown of the available information based on your request:

1. Table of Acceptance Criteria and Reported Device Performance

The provided document describes "Non-Clinical Testing Summary" and "Performance testing" categories, indicating that these were the acceptance criteria for the device. The reported performance is generally stated as "performed equivalent to the predicate" and "All testing demonstrated that the subject devices are substantially equivalent to the predicate." No specific numerical results are provided in this summary.

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The CO2 Sample Lines are intended to be used where exhaled gas is monitored. The intended population: Patients requiring expired gas monitoring, adult to pediatrics. The intended environment of use: Hospital-OR, sub-acute, and pre-hospital settings.

Breath gas analysis is commonly performed to provide informatin related to a patient's condition. An example of a gas analysis often performed is capnography using an analyzer called a capnograph. Capnography is the monitoring of the time dependent respirary carbon dioxide(CO2) concentration, which may be used to directly monitor the inhaled and exhaled concentration of CO2, and indirectly monitor the CO2 concentration in a patient's blood. CO2 monitoring of patients respired gases can be used to display of information about CO2 production, pulmonary(lung) perfusion, alveolar ventilation (alveoli are hollow cavities in the lungs in which gas exchange is being performed) and respiratory patterns related to a patient's condition during anesthesia. In breath analysis systems, for example capnograraphy, breath gas can be sampled either by a mainstream or a sidestream analyzer. CO2 Sampling Lines are availabe for CQ2 sampling when mainstream capnography is used, so as to perform a mainstream capnographic measurement of the level of CO2. The CO2 Sampling Line is a sterile, disposable, singlie patient use cannula that allows sampling of patients exhaled gases. It consists of flexible extruded plastic tubes with standard connectors on each end. The cannula is a straight and flexible tube which permits the passage of a fluid such as carbon dioxide through an orifice (a buccal or nasal cavity of a patient). In addition, the CO2 sampling line is adapted used to connect between the patient's end of the breathing system and the distant analyzer, such as the capnograph monitor, along this tube, the patient's breath is continuously sampled.

The provided text is a 510(k) premarket notification for a medical device: a CO2 Sampling Line. This type of submission focuses on demonstrating substantial equivalence to a legally marketed predicate device rather than proving clinical efficacy or the performance of a novel AI algorithm. Therefore, the document primarily describes non-clinical performance testing of the physical CO2 Sampling Line device itself, not an AI model.

Many of the requested details about acceptance criteria for AI models, such as sample sizes for test/training sets, data provenance, expert ground truth establishment, adjudication methods, MRMC studies, and standalone AI performance, are not applicable to this type of device submission. The device is a physical medical instrument, not an AI or software as a medical device (SaMD).

However, I can extract the acceptance criteria and performance data that are relevant to this physical device based on the provided text.

Acceptance Criteria and Device Performance for CO2 Sampling Line

The device under review is a CO2 Sampling Line, a physical medical instrument. The acceptance criteria and performance are related to its physical and material properties, rather than the performance of an AI algorithm.

1. Table of Acceptance Criteria and Reported Device Performance

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