文章基本信息

标题：Estimating patient-specific maximum recruitable volume in neonatal lungs
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作者：Mariah Aroha Mcdonald ; Jennifer L. Knopp ; K.T. Kim 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：15
页码：180-185
DOI：10.1016/j.ifacol.2021.10.252
语种：English
出版社：Elsevier
摘要：AbstractThis research aims to improve mechanical ventilation therapy in the neonatal intensive care unit (NICU). Mechanical ventilation (MV) settings in this vulnerable cohort are currently clinically determined based on experience, estimation and patient response. Modelling the lung mechanics of each specific patient may aid as a setting guide for clinicians, and provide a deeper indication of patient status. This study presents a novel method for estimating the maximum remaining recruitable lung volume,Vm, of a neonate. Current methods for determining patient lung volume are invasive, costly and disruptive to care, so are not often performed. The method proposed is non-invasive and uses data readily available through bedside monitoring. An optimalVmvalue was determined for each patient. When compared to patient mass, a strong linear relationship was determined. The variability of results reflects the inter-patient variability amongst this cohort and reinforces the need for patient-specific treatment solutions utilising novel, non-invasive metrics to provide better, more personalised care.
关键词：KeywordsMechanical VentilationRespiratory MechanicsNeonateLung volumeNon-InvasivePatient-specific