Carbon dioxide monitoring in the newborn infant.
Emma WilliamsTheodore DassiosAnne GreenoughPublished in: Pediatric pulmonology (2021)
Carbon dioxide (CO2 ) monitoring is vital during mechanical ventilation of newborn infants, as morbidity increases when CO2 levels are inappropriate. Our aim was to review the uses and limitations of such noninvasive monitoring methods. Colorimetry is primarily utilized during resuscitation to determine whether successful intubation has occurred. False negative and positive results can however lead to delays in detecting tracheal versus esophageal intubation. Transcutaneous carbon dioxide sensors have limited use during resuscitation, but can be utilized to provide continuous trend data during on-going ventilation. End-tidal capnography can provide clinicians with quantitative end-tidal CO2 (EtCO2 ) values and a continuous real-time capnogram waveform trace. These devices are becoming more widely accepted for use in the neonatal population as the new devices are lightweight with minimal additional dead space. Nevertheless, they have been reported to have variable accuracy when compared to arterial CO2 measurements, however, divergence of results may be related to disease severity rather than technological limitations. During resuscitation EtCO2 can be detected by capnography more rapidly than by colorimetry. Furthermore, capnography can be currently utilized in neonatal research settings to determine the physiological dead space and ventilation inhomogeneity, and thus has potential to be beneficial to clinical care. In conclusion, novel modes of noninvasive carbon dioxide monitoring can be safely and reliably utilized in newborn infants during mechanical ventilation. Future randomized trials should aim to address which device provides the most optimal form of monitoring in different clinical contexts.
Keyphrases
- carbon dioxide
- mechanical ventilation
- cardiac arrest
- acute respiratory distress syndrome
- intensive care unit
- respiratory failure
- cardiopulmonary resuscitation
- palliative care
- healthcare
- high resolution
- machine learning
- current status
- heavy metals
- big data
- electronic health record
- extracorporeal membrane oxygenation
- quality improvement
- chronic pain
- pain management
- mass spectrometry
- climate change