Evaluation of quality of care in neonatal anesthesia using a bundle of intraoperative parameters

Abstract

BackgroundMaintenance of physiological homeostasis is key in the safe conduct of pediatric anesthesia. Achieving this goal is especially difficult in neonatal surgery.AimsThe first aim was to document the absolute number of seven intraoperative parameters monitored during anesthesia in neonates undergoing gastroschisis surgery. The second aims were to determine the frequency of monitoring of each of these intraoperative parameters as well as the proportion of cases in which each parameter was both monitored and maintained within a pre‐defined range.MethodsThis retrospective observational analysis includes data from 53 gastroschisis surgeries performed at Caen University Hospital (2009–2020). Seven intraoperative parameters were analyzed. First, we assessed if the intraoperative parameters were monitored or not. Second, when monitored, we assessed if these parameters were maintained within a pre‐defined range, based on the current literature and on local agreement.ResultsThe median [first–third Q], range (min–max) number of intraoperative parameters monitored during the 53 gastroschisis surgeries was 6 [5–6], range (4–7). There were no missing data for the automatically recorded ones such as arterial blood pressure, heart rate, end‐tidal CO2, and oxygen saturation. Temperature was monitored in 38% of the patients, glycemia in 66%, and natremia in 68% of the cases. Oxygen saturation and heart rate were maintained within the pre‐defined range in 96% and 81% of the cases respectively. The blood pressure (28%) and temperature (30%) were instead the least often maintained within the pre‐defined range.ConclusionAlthough a median of six out of the seven selected intraoperative parameters were monitored during gastroschisis repair, only two of them (oxygen saturation and heart rate) were maintained within the pre‐defined range more than 80% of the time. It might be of interest to extend physiologic age‐ and procedure‐based approach to the development of specific preoperative anesthetic planning.