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Method and system for estimating the efficiency of the lungs of a patient

A patient-efficiency technology, applied in the field of respiratory care, can solve problems such as non-assessment and slow functional residual capacity

Active Publication Date: 2020-04-17
ROSTRUM MEDICAL INNOVATIONS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Current SGD systems assess functional residual capacity (FRC) slowly, or not at all, in patients receiving respiratory care

Method used

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  • Method and system for estimating the efficiency of the lungs of a patient
  • Method and system for estimating the efficiency of the lungs of a patient
  • Method and system for estimating the efficiency of the lungs of a patient

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Embodiment Construction

[0060] Aspects of the present disclosure generally address one or more of the problems related to current continuous gas delivery systems for properly assessing functional residual capacity (FRC), cardiac output (CO) and mixed venous gas content The number of iterations required and the titration of the volume (or flow) and concentration of the supplied gas should be adapted to the needs of each individual patient receiving respiratory care.

[0061]The present disclosure introduces a method and system for non-invasive measurement of lung performance. The disclosed system manipulates the gas in a ventilated patient, the volume and / or flow of gas, and the duration of gas delivery to determine certain characteristics indicative of overall ventilation efficiency. The measurements are based on variables determined from the intake and exhaust air. In one embodiment, the measurement principle relies on the differential Fick equation and allows rapid re-establishment of steady sta...

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Abstract

The present disclosure relates to methods and systems for estimating an efficiency of lungs of a patient receiving respiratory care. A blender has a primary input port for receiving a first gas to bedelivered to the patient and one or more secondary input ports for receiving a second gas to be delivered to the patient from one or more gas sources. A patient-side port of the blender delivers the first and second gases to the patient. A gas composition sensor measures a fraction of the first gas and a gas flow sensor measures a flow of the first gas. A controller causes a sequential delivery ofthe first and second gases to the patient and estimates a functional residual capacity of the patient based on measurements from the gas composition sensor and from the gas flow sensor. The controller may also estimate a cardiac output of the patient.

Description

technical field [0001] This disclosure relates to the field of respiratory care. More specifically, the present disclosure relates to a method and system for estimating the performance of a patient's lungs. Background technique [0002] Continuous gas delivery (SGD) is a technique used to deliver well-controlled volumes of inspiratory gas to the alveolar spaces of patients receiving respiratory care, whether the patient is breathing spontaneously or is assisted by a mechanical ventilator. The use of SGD allows the establishment of a constant gradient between the inhaled gas in the patient's alveolar spaces and the blood circulating in the capillary beds of the lungs. [0003] Continuous gas delivery divides each breath into two volumes: a first volume V containing gas 11 (G1) G1 and a second volume V containing gas 2 (G2) G2 , which is constituted such that it is the neutral gas and the gas of interest g for exchange with the capillary bed. Gas 1 (G1) is delivered in the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/08A61B5/0205A61B5/083
CPCA61B5/0205A61B5/083A61B5/091A61M16/12A61M2230/43A61M2016/0042A61M16/0833A61M2205/3306A61M2230/435A61M2202/025A61M2202/0225A61B5/0803A61B5/097A61B5/0075A61B5/082A61B5/682A61B5/4839A61B5/0833A61B5/0873A61B2505/03A61B2562/0233A61B2562/16A61M2202/0007A61B5/0059A61B5/0836A61B5/087
Inventor 詹姆斯·加里内森·阿尤比阿伦·弗雷德里克威廉·J·阿茨马尼古拉斯·克里斯托菲汉娜·麦格雷戈
Owner ROSTRUM MEDICAL INNOVATIONS
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