Wijbenga Nynke, Muller Marjolein M, Hoek Rogier A S, Mathot Bas J, Seghers Leonard, Aerts Joachim G J V, de Winter Brenda C M, Bos Daniel, Manintveld Olivier C, Hellemons Merel E
Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
J Breath Res. 2023 Sep 5;17(4). doi: 10.1088/1752-7163/acf066.
In order to prevent long-term immunity-related complications after lung transplantation, close monitoring of immunosuppressant levels using therapeutic drug monitoring (TDM) is paramount. Novel electronic nose (eNose) technology may be a non-invasive alternative to the current invasive procedures for TDM. We investigated the diagnostic and categorization capacity of eNose breathprints for Tacrolimus trough blood plasma levels (TAC) in lung transplant recipients (LTRs). We performed eNose measurements in stable LTR attending the outpatient clinic. We evaluated (1) the correlation between eNose measurements and TAC, (2) the diagnostic capacity of eNose technology for TAC, and (3) the accuracy of eNose technology for categorization of TACinto three clinically relevant categories (low: <7g ml, medium: 7-10g ml, and high: >10g ml). A total of 186 measurements from 86 LTR were included. There was a weak but statistically significant correlation (= 0.21,= 0.004) between the eNose measurements and TAC. The root mean squared error of prediction for the diagnostic capacity was 3.186 in the training and 3.131 in the validation set. The accuracy of categorization ranged between 45%-63% for the training set and 52%-69% in the validation set. There is a weak correlation between eNose breathprints and TACin LTR. However, the diagnostic as well as categorization capacity for TACusing eNose breathprints is too inaccurate to be applicable in TDM.
为预防肺移植术后长期的免疫相关并发症,采用治疗药物监测(TDM)密切监测免疫抑制剂水平至关重要。新型电子鼻(eNose)技术可能是目前TDM侵入性操作的一种非侵入性替代方法。我们研究了电子鼻呼吸印记对肺移植受者(LTRs)中他克莫司血药谷浓度(TAC)的诊断和分类能力。我们对门诊就诊的稳定LTR进行了电子鼻测量。我们评估了(1)电子鼻测量与TAC之间的相关性,(2)电子鼻技术对TAC的诊断能力,以及(3)电子鼻技术将TAC分为三个临床相关类别(低:<7μg/ml,中:7 - 10μg/ml,高:>10μg/ml)的准确性。共纳入了来自86名LTR的186次测量。电子鼻测量与TAC之间存在弱但具有统计学意义的相关性(r = 0.21,p = 0.004)。训练集中诊断能力的预测均方根误差为3.186,验证集中为3.131。训练集的分类准确率在45% - 63%之间,验证集在则52% - 69%之间。LTR中电子鼻呼吸印记与TAC之间存在弱相关性。然而,使用电子鼻呼吸印记对TAC进行诊断和分类的能力准确性太差,无法应用于TDM。