Electroencephalographic density spectral array monitoring during propofol/sevoflurane coadministration in children, an exploratory observational study.

INTRODUCTION: Propofol and sevoflurane have a long history in pediatric anesthesia. Combining both drugs at low dose levels offers new opportunities. However, monitoring the hypnotic effects of this drug combination in children is challenging, because the currently available processed EEG-based systems are insufficiently validated in young children and the co-administration of anesthetics. This study investigated electroencephalographic density spectral array monitoring during propofol/sevoflurane coadministration with fixed sevoflurane- and variable propofol dosages. PATIENTS AND METHODS: We analyzed the density spectral array pattern recorded during propofol/sevoflurane anesthesia in pediatric patients from birth to 11 years of age. Data from 78 patients were suitable for analysis. The primary outcome parameter of this study was the correlation between variable propofol dosages and the expression of the four electroencephalogram frequency bands ß, α, θ, and δ. The main secondary outcome parameters were the intra-operative total EEG power and the prevalence of burst suppression. RESULTS: In patients above the age of 1 year, a dose-dependent correlation between the propofol dosage and the relative percentage of ß (-12.2%, p < 0.001) and δ (5.1%, p < 0.001) was found. There was an age-dependent trend toward increasing mean EEG power, with the most significant increase in the first year of life. In 14.1% of our patients, at least one episode of burst suppression occurred. CONCLUSION: DSA-guided augmentation of propofol anesthesia with sevoflurane provides sufficient depth of anesthesia at doses usually considered sub-anesthetic in children, leading to less anesthetic drug exposure for the individual child.

Perioperative Mortality in Pediatric Patients: A Systematic Review of Risk Assessment Tools for Use in the Preoperative Setting.

BACKGROUND: There are multiple preoperative risk scores for pediatric mortality. The aim of this study was to systematically describe and compare the existing studies of patient-specific multispecialty risk prediction scores for perioperative mortality in pediatric populations, with the goal of guiding clinicians on which may be most appropriate for use in the preoperative setting. METHODS: This study is a systematic literature review of published journal articles that presented the development, extension/updating, and/or validation of a risk core that predicted all-cause mortality (up to 30 days postoperatively) in pediatric patients undergoing a procedure in which anesthesia was used. Scores needed to be applicable to surgeries in more than one noncardiac surgical specialty and had to be able to be calculated by the anesthesiologist at the time of the preanesthetic assessment. Two investigators independently screened studies for inclusion and assessed study quality in the domains of clinical applicability, feasibility/ease of use in the clinical setting, and risk of bias. RESULTS: A total of 1,681 titles were retrieved. Of these, 10 studies met inclusion criteria: 9 reported the development and validation of scores, and 1 was an external validation of an existing score. Seven studies used varying years of multicenter data from the National Surgical Quality Improvement Program-Pediatric Participant Use File for development and/or validation. The unadjusted rate of mortality in the studies ranged from 0.3 to 3.6%. The preoperative predictors of mortality used in score development included patient demographics, preoperative therapies, and chronic conditions, among others. All models showed good discrimination upon validation (area under the receiver operating characteristics curve greater than 0.8). Most risk scores had high or unclear risks of bias. CONCLUSIONS: There are numerous scores available for the prediction of mortality in pediatric populations, all of which exhibited good performance. However, many have high or unclear risks of bias, and most have not undergone external validation.