Performance of capnometry in non-intubated infants in the pediatric intensive care unit

BMC Pediatr. 2014 Jun 25:14:163. doi: 10.1186/1471-2431-14-163.

Abstract

Background: Assessing the ventilatory status of non-intubated infants in the Pediatric Intensive Care Unit (PICU) is a constant challenge. Methods to evaluate ventilation include arterial blood gas analysis (ABG), which is invasive and intermittent, and transcutaneous carbon dioxide monitoring (PtcCO2), which, while non-invasive, is also intermittent. A method that is non-invasive and continuous would be of great benefit in this population. We hypothesized that non-invasive capnometry via sidestream monitoring of exhaled carbon dioxide (CO2) would provide an acceptable measurement of ventilatory status when compared to ABG or PtcCO2.

Methods: Preliminary prospective study of infants less than one year of age admitted to the PICU in a large urban teaching hospital. Infants not intubated and not requiring non-invasive ventilation were eligible. A sidestream CO2 reading was obtained in a convenience sample of 39 patients. A simultaneous ABG was collected in those with an arterial catheter, and a PtcCO2 was obtained in those without.

Results: Correlation of sidestream CO2 with ABG was excellent (r(2) = 0.907). Sidestream correlated less well with PtcCO2 (r(2) = 0.649). Results were not significantly altered when weight and respiratory rate were added as independent variables. Bland-Altman analysis revealed a bias of -2.7 with a precision of ±6.5 when comparing sidestream CO2 to ABG, and a bias of -1.7 with a precision of ±9.9 when comparing sidestream CO2 to PtcCO2.

Conclusions: Performance of sidestream monitoring of exhaled CO2 is acceptable clinical trending to assess the effectiveness of ventilation in non-intubated infants in the PICU.

Publication types

  • Comparative Study

MeSH terms

  • Blood Gas Analysis / instrumentation
  • Body Weight
  • Capnography / methods*
  • Catheters, Indwelling
  • Humans
  • Infant
  • Intensive Care Units, Pediatric
  • Linear Models
  • Prospective Studies
  • Respiratory Rate
  • Sampling Studies