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Background: Airway management for nonelective surgical procedures in the setting of trauma, pain, and opioid use can be complicated by the potential for aspiration due to delayed gastric emptying. Point-of-care ultrasound (POCUS) remains a useful tool for evaluating gastric content and volume in various clinical settings. The authors evaluated gastric volume and content in children scheduled for urgent and semi-urgent procedures to assess their aspiration risk. Methods: After obtaining consent, gastric POCUS was performed in the preoperative holding area for pediatric patients scheduled for both elective and nonelective surgery. Qualitative and quantitative measurements of the gastric antrum were taken, and the risk of gastric aspiration was calculated. Additional data collected included patient demographics, the type of surgery, nil per os (NPO) status at the time of surgery, NPO status at the time of injury, and administration of opioids. Results: The study cohort included 100 patients ranging in age from 3 to 17 years old (mean age 9.2 years). Out of these 100 patients, gastric scanning was successfully conducted in 98 patients. Sixteen of fifty-nine nonelective patients (27%) had received opioids for pain control prior to surgery. Among the 34 patients who had suffered an acute injury, 7 (21%) had been NPO for <8 hours at the time of the injury. Ninety-nine out of hundred patients had been NPO for at least 6 hours at the time of the gastric ultrasound. Based on our gastric ultrasound findings, all patients who were appropriately NPO had either Grade 0 or Grade 1 risk for aspiration, indicating a low risk of aspiration. Conclusions: The preliminary data show that when patients presenting for nonelective surgery are appropriately NPO, they may have a low risk of aspiration. This information may help guide the choice of anesthetic induction technique, particularly when concerns exist about the safety of a rapid sequence induction. It allows for a more stable and controlled induction of anesthesia. [ABSTRACT FROM AUTHOR]

Background: As illicit substance use can present several perioperative concerns, effective means to identify such practices are necessary to ensure patient safety. Identification of illicit substance use in pediatric patients may be problematic as screening may rely on parental reporting. Aims: The current study compares answers regarding use of illicit substances between a survey completed by the patient and the preoperative survey completed by parents or guardians. Methods: The study included patients presenting for surgery at Nationwide Children's Hospital, ranging in age from 12 to 21 years. After consent, patients completed a survey of six drop‐down questions using an iPad. The six questions involved the patient's history of alcohol, tobacco, marijuana, vaping, and opioid use. The results were compared to the answers obtained from the parents during a preoperative phone call. Results: The study cohort included surveys from 250 patients with a median age of 16 years. Survey data showed a statistically higher reporting of substance use or abuse from the patient study survey in comparison to the routine parental preoperative survey. Alcohol report rates were highest with 69 (27.6%) patients reporting use compared to only 5 parental reports (2%). There was a similar discrepancy in reported rates of vaping use (40 patient reports, 16.0% vs. 11 parental reports, 4.4%) and illicit substance use including marijuana (52 patient reports, 20.8% vs. 11 parental reports, 4.4%). Reported rates of tobacco use were lowest among the survey responses with 12 patient reports (4.8%) and 5 parental reports (2.0%). Conclusions: Identifying illicit substance and tobacco use via a phone survey of parents is inaccurate and does not allow for proper identification of use of these substances in patients ≤21 years of age presenting for surgery. An anonymous 2‐min survey completed by the patient more correctly identifies these issues. [ABSTRACT FROM AUTHOR]

Objectives: The objective of this study was to translate a deep learning (DL) approach for semiautomated analysis of body composition (BC) measures from standard of care CT images to investigate the prognostic value of BC in pediatric, adolescent, and young adult (AYA) patients with lymphoma. Methods: This 10-year retrospective, single-site study of 110 pediatric and AYA patients with lymphoma involved manual segmentation of fat and muscle tissue from 260 CT imaging datasets obtained as part of routine imaging at initial staging and first therapeutic follow-up. A DL model was trained to perform semiautomated image segmentation of adipose and muscle tissue. The association between BC measures and the occurrence of 3-year late effects was evaluated using Cox proportional hazards regression analyses. Results: DL-guided measures of BC were in close agreement with those obtained by a human rater, as demonstrated by high Dice scores (≥ 0.95) and correlations (r > 0.99) for each tissue of interest. Cox proportional hazards regression analyses revealed that patients with elevated subcutaneous adipose tissue at baseline and first follow-up, along with patients who possessed lower volumes of skeletal muscle at first follow-up, have increased risk of late effects compared to their peers. Conclusions: DL provides rapid and accurate quantification of image-derived measures of BC that are associated with risk for treatment-related late effects in pediatric and AYA patients with lymphoma. Image-based monitoring of BC measures may enhance future opportunities for personalized medicine for children with lymphoma by identifying patients at the highest risk for late effects of treatment. Key Points: • Deep learning–guided CT image analysis of body composition measures achieved high agreement level with manual image analysis. • Pediatric patients with more fat and less muscle during the course of cancer treatment were more likely to experience a serious adverse event compared to their clinical counterparts. • Deep learning of body composition may add value to routine CT imaging by offering real-time monitoring of pediatric, adolescent, and young adults at high risk for late effects of cancer treatment. [ABSTRACT FROM AUTHOR]

The relationship between preprocedural anxiety and pain is not clear but has the potential to change the way pediatric patients need to be cared for prior to burn procedures. Using results from our recent randomized clinical trial among outpatient burn patients (n = 90) aged 6–17 years, the objective of this subsequent analysis was to assess whether preprocedural anxiety was associated with self-reported and researcher-observed pain scores. Anxiety before the dressing change was assessed using an abbreviated State-Trait Anxiety Inventory for Children (range 6–21) and reported with 95% confidence intervals (CI). Self-reported pain was reported using a Visual Analog Scale (range 0–100) and observed pain was assessed using the Face, Legs, Activity, Cry, and Consolability-revised scale. Over half of patients (58.9%) reported mild anxiety (score < 12) and about 5% of patients reported severe anxiety (score > 16). Younger children (6–8 years) reported higher anxiety scores than older children (15–17 years), but the difference did not achieve statistical significance (mean = 12.7, 95% CI: 11.5 to 13.9, P =.09). Nonparametric spearman correlation indicated that anxiety score was significantly correlated with observed pain (P =.01) and self-reported overall pain neared statistical significance (P =.06). In the final logistic regression of reporting moderate-to-severe pain (pain score > 30), the association between anxiety scores and self-reported overall moderate-to-severe pain was statistically significant (P =.03) when adjusting for race, healing degree, and pain medication use within 6 hr prior to burn dressing care. This pilot study provides preliminary data showing that anxiety before outpatient pediatric burn dressing changes is significantly associated with self-reported overall moderate-to-severe pain. [ABSTRACT FROM AUTHOR]