echemi logo
Product
  • Product
  • Supplier
  • Inquiry
    Home > Active Ingredient News > Immunology News > New lung model makes mechanical ventilation safer for COVID-19 patients!

    New lung model makes mechanical ventilation safer for COVID-19 patients!

    • Last Update: 2020-05-14
    • Source: Internet
    • Author: User
    Search more information of high quality chemicals, good prices and reliable suppliers, visit www.echemi.com

    2020 May 14 News /BioValleyBIOON / - mechanical ventilation COVID- to save the lives of patients suffering from severe respiratory diseasesAt the same time, the air pressure on the fragile lung tissue tremendous pressure; for patients with existing lung injury, ventilator can be fatalLung model calculation (TUM) developed by Munich University of Technology can be used to reduce the damage caused by mechanical ventilation, can significantly improve the survival ratetreating physician acute respiratory illness in determining the best mechanical ventilation, for example, limit the pressure, oxygen level and air flow rate, the limited range of the parameters can be usedlung but is a complex organ, holding various parts of the lung may actually damage some portions of tissue by excessive expansion pressure required to open the gas flowIn addition, physicians need to minimize duplication recruitment and damage during mechanical ventilation of the lung portion, because both can irritate lung tissue and cause inflammationSource: JakobRichterTUMmake the invisible become visiblestudy mechanics professor WolfgangWall calculated in accordance with Technical University of Munich, "The real problem is that when we treat patients with mechanical ventilation, to the present So far, no method can detect the over-expansion of the lung tissue from the main bronchus to lung smallest structure, a plurality of branches 20currently, there is no way to measure the minimal pulmonary micro branches occurs during artificial respiration What"
    Although some medical literature still does not accurately describe the lung air bag (alveoli) similar to the vines and grapes, lung tissue actually has a consistency more like a spongeExchange between the air and the blood is through the thin wall of the tissueIncluding different types of respiratory tissue between a very complex mechanical interaction, tissue and air flowing liquid film the past few years, researchers at the University of Munich has been developing more sophisticated models to simulate the behavior of the lung tissue and air flow By improving lung tissue samples micromechanical testing methods, their research has established a lung model calculation This model is the basis of a computer program, which can be calculated provided the lung ventilator in different local strain With these data may be provided to adjust the ventilator in a corresponding hand, physicians and medical personnel, to provide a protective mechanical ventilation use of artificial intelligence to interpret the data currently guiding mechanical ventilation clinical criteria used to determine the optimum weight of the patient pressure ventilator settings However, Professor Wall and his team developed a program model is based on actual lung CT lung scan data collected The case has been damaged by disease or injury before it even take into account the individual regions of the lung changes in pressure and volume, lung model can calculate the number of individual mechanical properties of the lungs of the patient by measuring the inhalation and exhalation cycle The result is a digital patient's lungs "twin" model It is so precise, what would the patient's ventilator settings can accurately predict lung damage from the research laboratory to the hospital, test this model in a real clinical environment continued his research working group with clinical partners at the same time, the former Wall professor and his three colleagues set up Ebenbuild the company, so their research into clinical practice as soon as possible Source: JakobRichterTUM a key step in achieving this goal is the use of artificial intelligence (AI) to automatically generate lung model Wall professor and his team using the computing power of artificial intelligence, developed a digital tool that can draw a map of the patient's lungs, and even can be used for early detection of COVID-19 infection "More than 80% of COVID-19 died as a result of acute lung failure," said Professor Wall added: "Through long-term mechanical ventilation, our most critically ill patients the survival rate drops to 50% of our goal that, in the future, in each ventilation point, a digital model helps to optimize the mechanical lung ventilation according to the patient's needs, so that we can significantly increase the chance of survival "(bio Valley Bioon.com) references: [1] ComputermodelenablesprotectiveventilationforCOVID-19andlungdiseasepatients [2] ChristianJ.Rothetal CouplingofEITwithcomputationallungmodelingforpredictingpatient-specificventilatoryresponses, JournalofappliedPhysiology (2016) .DOI: 10.1152 / j app [3] ChristianJ.Rothetal Acomprehensivecomputationalhumanlungmodelincorporatinginter-acinardependencies lphysiol.00236.2016: applicationtospontaneousbreathingandmechanicalventilation, InternationalJournalforNumericalMethodsinBiomedicalEngineering (2016) .DOI: 10.1002 / cnm.2787 < br /> [4] ChristianJ.Rothetal ComputationalModelingofRespiratoryBiomechanics , EncyclopediaofBiomedicalEngineering (2018) .DOI: 10.1016 / B978-0-12-801238-3.99941-0
    This article is an English version of an article which is originally in the Chinese language on echemi.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to service@echemi.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

    Contact Us

    The source of this page with content of products and services is from Internet, which doesn't represent ECHEMI's opinion. If you have any queries, please write to service@echemi.com. It will be replied within 5 days.

    Moreover, if you find any instances of plagiarism from the page, please send email to service@echemi.com with relevant evidence.