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Estimating patient-specific maximum recruitable volume in neonatal lungs

机译：估算新生儿肺部的患者特异性最大令人携带体积

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This 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.
机译：本研究旨在改善新生儿重症监护室（NICU）的机械通风疗法。该弱势队列中的机械通气（MV）设置目前基于经验，估计和患者应对临床确定。建模每个特定患者的肺部机械师可以帮助临床医生的设定指南，并提供患者地位的更深层次指示。该研究提出了一种估算新生儿的最大剩余令核肺体积VM的新方法。目前用于确定患者肺体积的方法是侵入性的，昂贵和破坏性的，但不经常进行。所提出的方法是非侵入性的，并使用床边监测易于获得的数据。针对每位患者确定最佳vmvalue。与患者质量相比，确定了强烈的线性关系。结果的变化反映了这种队列之间的患者间变异性，并强化了利用新颖的非侵入性指标来提供更好，更个性化的护理的患者特异性治疗解决方案的需求。

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