Aim: To determine cerebral blood flow using near infrared spectroscopy in extremely preterm infants undergoing high‐frequency oscillatory ventilation during the first three days of life. Low cerebral blood flow has been associated with both intra‐ventricular haemorrhage and periventricular leucomalacia. It is well established that cerebral blood flow increases over the first three days of life in extremely preterm infants who are conventionally ventilated with intermittent positive pressure ventilation. However, there is no information about cerebral blood flow in preterm babies undergoing high‐frequency oscillatory ventilation. In addition, there are concerns that high‐frequency oscillatory ventilation may be associated with an increased incidence of intra‐ventricular haemorrhage in premature infants. Methods: Thirteen appropriately grown, preterm infants of less than 28 wk gestation who were admitted to the neonatal unit at University College Hospital, London were studied using near infrared spectroscopy. Left ventricular output and right ventricular output were assessed echocardiographically. Results: Extremely preterm infants undergoing high‐frequency oscillatory ventilation have remarkably low cerebral blood flow in the first 12 h of life, median 6.7 (range 4.4‐11) mls. 100 g−1min−1 followed by an increase over the subsequent three days. Left ventricular output also increased over the first three days of life, whereas right ventricular output showed no clear relationship with time. Despite low cerebral blood flow only one infant had evidence of major cerebral injury. Conclusion: Cerebral blood flow is extremely low in this group of preterm babies. Despite this extremely low cerebral blood flow, the clinical outcome is good. There was an increase in cerebral blood flow and a corresponding increase in left ventricular output over the first few days of life.

Performing absolute measurements of tissue saturation of the brain with near-infrared spectroscopy (NIRS) is a clinically desirable brain monitoring tool. Tissue oxygenation index (TOI) is an indicator of absolute tissue mixed arterial and venous oxygen saturation, and can be calculated using a NIRS technique called spatially resolved spectroscopy (SRS). SRS instruments measure the change of light attenuation with distance by using multiple light source-detector distances at two or more wavelengths. The aim of the study is to use broadband NIRS SRS data to investigate the effects on the calculation of TOI of different parameters: wavelength selection, scattering dependence, source-detector distance, and resolving for water. In total, 55 neonates with hypoxic-ischemic encephalopathy were monitored using a broadband multi-distance continuous wave NIRS system; 172 datasets were recorded. Using a “Standard” approach, TOI values between 0 and 100% (“good”) were calculated in 157/172 datasets with a mean TOI of 50%. By changing the wavelength selection, the number of “good” data sets increases to 165/172 with a mean of 60%. Alteration of the dependence of scattering on wavelength acts as a constant which shifts the absolute value of TOI significantly (p < 0.05), demonstrating the importance of having a subject-appropriate estimation of scattering dependence. In general, changing the combination of source-detector distances does not significantly alter the TOI (the mean TOI ranges from 41% to 53%) which suggests that the algorithm is robust to different source-detector combinations. The study shows the broadband NIRS SRS algorithm gives the opportunity to explore the calculation of TOI and could further improve the measurement of tissue saturation in a clinical setting.

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