Bob P Hermans, Jeroen L M van Doorn, Lisanne H Roesthuis, Jan Hofland, Wilson W L Li, Daniël I M van Dort, Erik H F M van der Heijden, Harry van Goor, Ad F T M Verhagen
{"title":"Characterisation of pulmonary air leak measurements using a mechanical ventilator in a bench setup.","authors":"Bob P Hermans, Jeroen L M van Doorn, Lisanne H Roesthuis, Jan Hofland, Wilson W L Li, Daniël I M van Dort, Erik H F M van der Heijden, Harry van Goor, Ad F T M Verhagen","doi":"10.1080/03091902.2024.2381540","DOIUrl":null,"url":null,"abstract":"<p><p>Prolonged air leakage (AL) following pulmonary resections leads to prolonged hospital stay and post-operative complications. Intra- and postoperative quantification of AL might be useful for improving treatment decisions, but these measurements have not been characterised. AL calculations based on inspiratory and expiratory tidal volumes were investigated in an Intensive Care Unit mechanical ventilator circuit (Servo-I). AL was also measured by a digital chest drainage system. This study shows that AL measurements increase in accuracy when corrected for baseline deviations (R: 0.904 > 0.997, <i>p</i> < 0.001). Bland-Altman analysis revealed a funnel-shape, indicative of a detection threshhold. Corrected measurements were most accurate when averaged over five breaths and AL was >500 mL/min, with an estimated mean systemic bias of 7.4% (95%-limits of agreement [LoA]: 1.1%-13.7%) at 500 mL/min air leak. Breath-by-breath analysis showed most accurate results at AL >20 mL/breath (R: 0.989-0.991, <i>p</i> < 0.001) at tidal volumes between 350-600 mL. The digital drain had a mean systemic bias of -11.1% (95%-LoA: -18.9% to -3.3%) with homogenous scatter in Bland-Altman analysis and a strong correlation to the control measurement over a large range (0-2000mL/min, R: 0.999, <i>p</i> < 0.001). This study indicates that the Servo-I can be used for air leak quantification in clinically relevant ranges (>500 mL/min), but is unsuited for small leak detection due to a detection threshold. Researchers and clinicians should be aware of varying accuracy and interoperability characteristics between AL measurement devices.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"81-91"},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/03091902.2024.2381540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/25 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Prolonged air leakage (AL) following pulmonary resections leads to prolonged hospital stay and post-operative complications. Intra- and postoperative quantification of AL might be useful for improving treatment decisions, but these measurements have not been characterised. AL calculations based on inspiratory and expiratory tidal volumes were investigated in an Intensive Care Unit mechanical ventilator circuit (Servo-I). AL was also measured by a digital chest drainage system. This study shows that AL measurements increase in accuracy when corrected for baseline deviations (R: 0.904 > 0.997, p < 0.001). Bland-Altman analysis revealed a funnel-shape, indicative of a detection threshhold. Corrected measurements were most accurate when averaged over five breaths and AL was >500 mL/min, with an estimated mean systemic bias of 7.4% (95%-limits of agreement [LoA]: 1.1%-13.7%) at 500 mL/min air leak. Breath-by-breath analysis showed most accurate results at AL >20 mL/breath (R: 0.989-0.991, p < 0.001) at tidal volumes between 350-600 mL. The digital drain had a mean systemic bias of -11.1% (95%-LoA: -18.9% to -3.3%) with homogenous scatter in Bland-Altman analysis and a strong correlation to the control measurement over a large range (0-2000mL/min, R: 0.999, p < 0.001). This study indicates that the Servo-I can be used for air leak quantification in clinically relevant ranges (>500 mL/min), but is unsuited for small leak detection due to a detection threshold. Researchers and clinicians should be aware of varying accuracy and interoperability characteristics between AL measurement devices.
肺切除术后长时间漏气(AL)会导致住院时间延长和术后并发症。术中和术后对 AL 进行量化可能有助于改进治疗决策,但这些测量方法尚未得到证实。我们在重症监护室机械呼吸机回路(Servo-I)中对基于吸气和呼气潮气量的 AL 计算进行了研究。数字胸腔引流系统也对 AL 进行了测量。该研究表明,当校正基线偏差(R:0.904 > 0.997,p 500 mL/min,估计平均系统偏差为 7.4%(95%-limits of agreement [LoA]:1.1%-13.7%),漏气量为 500 mL/min 时,AL 测量的准确性增加。逐次呼吸分析在 AL >20 mL/breath 时显示出最准确的结果(R:0.989-0.991,p p 500 mL/min),但由于检测阈值的原因,不适用于小漏气检测。研究人员和临床医生应注意 AL 测量设备之间不同的准确性和互操作性。
期刊介绍:
The Journal of Medical Engineering & Technology is an international, independent, multidisciplinary, bimonthly journal promoting an understanding of the physiological processes underlying disease processes and the appropriate application of technology. Features include authoritative review papers, the reporting of original research, and evaluation reports on new and existing techniques and devices. Each issue of the journal contains a comprehensive information service which provides news relevant to the world of medical technology, details of new products, book reviews, and selected contents of related journals.