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510(k) Data Aggregation
(266 days)
CARDIAC OUTPUT KIT, MODEL CO-1 & INLINE SENSOR CABLE, MODEL ILS-1
Biosensors Inline Sensor Assembly forms a close loop injectate system for cardiac output measurement. Inline Temperature Sensor and kits (Inline Sensor Assembly) are used in Critical Care and Surgery settings in coniunction with Thermodilution Catheters supplied by various manufacturers, including Biosensors (K911710), for measuring cardiac output of hemodynamically compromised patients by Thermodilution Technique. In this procedure, a known quantity of "room temperature" saline is injected from the Inline Sensor Assembly, and then through an internal catheter lumen to a proximal port of the catheter and into the patient's heart (right atrium). The room temperature saline mixes with the patients' blood as it is pumped by the heart through the right ventricle and into the pulmonary artery.
Biosensors Inline Sensor Assembly is designed for closed injectate delivery system use. It connects to the CVP lumen of a Thermodilution catheter to perform room temperature injections and determine a temperature reading. The inline temperature sensor housing connects to a reusable thermistor cable assembly (the Inline Temperature Assembly) that leads to a Marquette 7000 series Cardiac Output Computer. An inline check valve prevents reflux of fluid and/or blood into the system after injections. The intended use of Biosensors Inline Sensor Assembly is identical to that of Becton Dickinson's SP4572 disposable in-line injectate set.
Biosensors Cardiac Output Kit is a sterile kit of disposables which includes an in-line iniectate sensor housing along with a 10 ml syringe. 3-way stopcock, a dual one-way check valve adaptor housing and a coil of IV tubing with spike and a tubing clamp. The check valve prevents reflux of fluid and/or blood into the system following injection of saline into a Thermodilution Catheter (not a part of this application).
Here's a breakdown of the acceptance criteria and study information for the Biosensors Inline Sensor Assembly and Inline Temperature Sensor, based on the provided text:
1. Table of Acceptance Criteria and Reported Device Performance:
Acceptance Criteria | Reported Device Performance |
---|---|
Tensile Strength of Tubing and Bonded Joints | Met or exceeded requirements of ISO 10555-1. |
Liquid Leakage Under Pressure | Met or exceeded requirements of ISO 10555-1. |
Temperature Accuracy | Accurate temperature measurement (+/- 0.3 deg C) of 10CC saline, critical for cardiac output calculation. (Implied, as the device's function is to provide this information accurately to the monitor). |
Temperature Response Time | Rapidly sense and report temperature changes. (Implied, as the text states the thermistor allows for rapid sensing). |
Injection Volume | Designed for 10 ml syringe, ensuring a known quantity of injectate. (Implied, as this is a core function described). |
Maximum Current Limits at Single Fault Condition | Evaluated and met standards (likely ANSI/AAMI ES1-1993, as the text mentions this standard alongside other evaluations). |
Biocompatibility | All materials used met biocompatibility requirements outlined in ISO 10993. |
Overall Performance (in comparison to predicate) | Performed as well as, or better than predicate devices. |
2. Sample Size Used for the Test Set 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/prospective). The assessment of performance data is described as "BSI's Inline Sensor Assembly was evaluated in accordance with ISO 10555-1. ISO 8536-4 and ANSI/AAMI ES1-1993 ISO10555." This suggests a series of standardized laboratory tests rather than clinical data from human subjects.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications:
This information is not provided. The testing appears to be based on adherence to engineering and safety standards (ISO, ANSI/AAMI) rather than expert interpretation of a ground truth dataset, as might be the case for imaging or diagnostic algorithms.
4. Adjudication Method for the Test Set:
This information is not applicable and is not provided. Adjudication methods are typically relevant for studies involving subjective human assessment or labeling of data, which is not the nature of the described tests.
5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study Was Done, and the Effect Size of How Much Human Readers Improve with AI vs Without AI Assistance:
This type of study was not conducted. An MRMC study is relevant for evaluating diagnostic aids, particularly those involving human interpretation of medical images or data assisted by AI. This device is a sensor and disposable kit, not an AI-powered diagnostic tool.
6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Study Was Done:
The performance evaluation described is essentially a standalone assessment of the device's physical and functional properties, as it's not an algorithm with human-in-the-loop performance. The "algorithm" here is the functionality of the sensor and its ability to accurately measure temperature for a cardiac output computer. The tests evaluated the intrinsic performance of the sensor and assembly against established standards.
7. The Type of Ground Truth Used:
The "ground truth" for the tests appears to be:
- Engineering and Safety Standards: ISO 10555-1, ISO 8536-4, ANSI/AAMI ES1-1993, and ISO 10993.
- Predicate Device Performance: The device's performance was also assessed relative to the Becton Dickinson (B-D) SP4500 sterile In-line injectate system. The "ground truth" for its performance would be the established and acceptable performance characteristics of the predicate device.
- Physical Measurements: For parameters like temperature accuracy and response time, the ground truth would be precise physical measurements from calibrated instruments.
8. The Sample Size for the Training Set:
This information is not applicable and is not provided. This device is a mechanical/electronic medical device components, not a machine learning or AI model that requires a training set.
9. How the Ground Truth for the Training Set Was Established:
This information is not applicable, as there is no "training set" for this type of device.
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