Feddahi Nadia, Hartmann Lea, Felderhoff-Müser Ursula, Roy Susmita, Lampe Renée, Maiti Kiran Sankar
Center for Translational and Neurobehavioural Sciences CTNBS, Department of Pediatrics I, Neonatology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen 45147, Germany.
Research Unit of the Buhl-Strohmaier Foundation for Cerebral Palsy and Pediatric Neuroorthopaedics, Department of Orthopaedics and Sports Orthopaedics, TUM School of Medicine and Health, University Hospital Rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany.
ACS Omega. 2024 Jul 2;9(28):30625-30635. doi: 10.1021/acsomega.4c02635. eCollection 2024 Jul 16.
Monitoring health conditions in neonates for early therapeutic intervention in case deviations from physiological conditions is crucial for their long-term development. Due to their immaturity preterm born neonates are dependent on particularly careful physical and neurological diagnostic methods. Ideally, these should be noninvasive, noncontact, and radiation free. Infrared spectroscopy was used to analyze exhaled breath from 71 neonates with a special emphasis on preterm infants, as a noninvasive, noncontact, and radiation-free diagnostic tool. Passive sample collection was performed by skilled clinicians. Depending on the mode of respiratory support of infants, four different sampling procedures were adapted to collect exhaled breath. With the aid of appropriate reference samples, infrared spectroscopy has successfully demonstrated its effectiveness in the analysis of breath samples of neonates. The discernible increase in concentrations of carbon dioxide, carbon monoxide, and methane in collected samples compared to reference samples served as compelling evidence of the presence of exhaled breath. With regard to technical hurdles and sample analysis, samples collected from neonates without respiratory support proved to be more advantageous compared to those obtained from intubated infants and those with CPAP (continuous positive airway pressure). The main obstacle lies in the significant dilution of exhaled breath in the case of neonates receiving respiratory support. Metabolic analysis of breath samples holds promise for the development of noninvasive biomarker-based diagnostics for both preterm and sick neonates provided an adequate amount of breath is collected.
监测新生儿的健康状况，以便在出现偏离生理状况时进行早期治疗干预，这对他们的长期发育至关重要。由于早产新生儿不成熟，他们特别依赖仔细的身体和神经诊断方法。理想情况下，这些方法应该是无创、非接触且无辐射的。红外光谱法作为一种无创、非接触且无辐射的诊断工具，被用于分析71名新生儿（尤其侧重于早产儿）的呼出气体。由技术熟练的临床医生进行被动样本采集。根据婴儿的呼吸支持模式，采用了四种不同的采样程序来采集呼出气体。借助适当的参考样本，红外光谱法已成功证明其在分析新生儿呼出气体样本方面的有效性。与参考样本相比，采集样本中二氧化碳、一氧化碳和甲烷浓度的明显增加，有力地证明了呼出气体的存在。在技术障碍和样本分析方面，与从插管婴儿和接受持续气道正压通气（CPAP）的婴儿获得的样本相比，从无呼吸支持的新生儿采集的样本被证明更具优势。主要障碍在于接受呼吸支持的新生儿呼出气体被显著稀释。只要采集到足够量的呼出气体，对呼出气体样本进行代谢分析有望为早产和患病新生儿开发基于无创生物标志物的诊断方法。
