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8.7 Continuous EEG derived carbon dioxide monitor for newborn preterm babies – levels of agreement with partial pressure of arterial blood carbon dioxide
  1. C Jennings1,2,
  2. C McKeering1,
  3. A Buriro1,
  4. P Gaydeki1,
  5. S Victor1,2
  1. 1University of Manchester, Manchester, UK
  2. 2Manchester Academic Health Sciences Centre, Manchester, UK

Abstract

Background Continuous monitoring of partial pressure of arterial blood carbon dioxide (PaCO2) is important in preterm babies during the first 36 h after birth to avoid episodes of hypo/hypercarbia. There is a need to develop a reliable technique for the continuous monitoring of PaCO2. The purpose of this study was to determine if continuous monitoring of PaCO2 can be performed through the automatic analysis of preterm electroencephalography (EEG).

Aim We aimed to determine the levels of agreement between PaCO2 measured by blood gas analysis and the partial pressure of carbon dioxide (PeegCO2) predicted by automatic analysis of EEG.

Methods Thirty-six hour EEG recordings using 7 hydrogel leads were performed in 12 babies born before 30 weeks’ gestation from soon after birth. Babies with abnormal cranial ultrasound scans were excluded from analysis. Routine arterial blood gases were performed using ABL 835 Flex (Radiometer). EEG was automatically analysed in real-time for changes in amplitude, frequency and interburst intervals in the EEG waveforms. PeegCO2 was continuously predicted using an algorithm. Impedance was measured hourly and accepted if below 5 kOhms. Artefactual EEG was managed automatically by the software and through qualitative reporting.

Results A strong correlation (R2 = 0.71; n = 49; p < 0.001) between PaCO2 and PeegCO2 was demonstrated. The overall bias (mean difference: PaCO2–PeegCO2) was 0.05 kPa and the precision (standard deviation of differences) was 0.56 kPa.

Conclusion PeegCO2 monitoring is a new development in the field of continuous monitoring in neonatal intensive care. Bias and precision data indicate that it can be a valuable clinical tool.

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