Temperature Probe Placement during Preterm Infant Resuscitation: A Randomised Trial

Abstract

Background: Hypothermia on admission to intensive care is associated with poor outcomes in preterm infants. The neonatal resuscitation program recommends the use of servo-control thermoregulation during resuscitation. Very little evidence exists to guide optimal temperature probe placement in the delivery room. Objective: The aim of this work was to determine, in moderately preterm infants, if temperature probe placement in the dorsal, thoracic, or axillary area during delivery room resuscitation would result in differing temperatures on admission to the neonatal intensive care unit (NICU). Methods: A randomised trial with 3 arms was conducted. In total, 122 inborn preterm infants born between 28^0/7 and 35^6/7 weeks of gestational age were recruited. The infants were randomly assigned to thermal probe placement in the left lower back, left upper thorax, or left axilla immediately after birth. Temperature was servo-controlled using an infant resuscitation table set to 36.5°C. The primary outcome was axillary temperature at admission to the NICU before transfer to a closed isolette, recorded with a digital thermometer. The secondary outcomes assessed were temperature within the target range (36.5-37.5°C), hypothermia (<36.5°C), and hyperthermia (>37.5°C). Results: All 122 infants were available for outcome analysis. The groups were comparable for birthweight, gestational age, and sex. The mean admission temperature was comparable between the 3 probe positions (mean, 95% CI): dorsum (36.7°C, 36.6-36.8), thorax (36.8°C, 36.7-36.9), and axilla (36.7°C, 36.6-36.9), p = 0.43. The proportion of infants with admission temperatures in the target range was comparable (87.2, 81.4, and 72.5% respectively), p = 0.44. Conclusion: Dorsal, thoracic, or axillary temperature probe positioning during resuscitation yield similar admission temperatures in moderately preterm infants. Further studies are required in infants below 28 weeks of gestation to determine the best practice.