Analysis of Fractional Cerebral Oxygen Extraction in Preterm Infants during the Kangaroo Care

Neonatology(2023)

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摘要
Introduction: We aimed to investigate the cerebral fractional tissue oxygen extraction (FtOE) during kangaroo care (KC) in premature infants and compare cardiorespiratory stability and hypoxic or bradycardic events between KC and incubator care. Methods: A single-center prospective observational study was carried out at the NICU of a level 3 perinatal center. Preterm infants <32 weeks gestational age were subjected to KC. Patients were subjected to continuous monitoring of regional cerebral oxygen saturation (rScO(2)), peripheral oxygen saturation (SpO(2)), and heart rate (HR) during KC, before KC (pre-KC), and after KC (post-KC). The monitoring data were stored and exported to MATLAB for synchronization and signal analysis including the calculation of the FtOE and events analysis (i.e., desaturations and bradycardias counts and anormal values). Furthermore, the event counts and the mean SpO(2), HR, rScO(2), and FtOE were compared between studied periods employing the Wilcoxon rank-sum test and the Friedman test, respectively. Results: A total of forty-three KC sessions with their corresponding pre-KC and post-KC segments were analyzed. The distributions of the SpO(2), HR, rScO(2), and FtOE showed different patterns according to the respiratory support, but not differences between the studied periods were detected. Accordingly, no significant differences in monitoring events were evidenced. However, cerebral metabolic demand (FtOE) was significantly lower during KC compared with post-KC (p = 0.019). Conclusion: Premature infants remain clinically stable during KC. Moreover, cerebral oxygenation is significantly higher and cerebral tissular oxygen extraction is significantly lower during KC compared with incubator care in post-KC. No differences in HR and SpO(2) were shown. This novel data analysis methodology could be expanded to other clinical situations.
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关键词
Kangaroo mother care,Premature infant,Brain oxygenation,Monitoring,Data mining
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