Socioeconomic Disparities in Pediatric Traumatic Brain Injury Transfer Patterns: An Analysis of Area Deprivation Index and Clinical Outcomes.

BACKGROUND: Traumatic brain injury (TBI) poses a significant health burden, particularly among pediatric populations, leading to long-term cognitive, physical, and psychosocial impairments. Timely transfer to specialized trauma centers is crucial for optimal management, yet the influence of socioeconomic factors, such as the Area Deprivation Index (ADI), on transfer patterns remains understudied. METHODS: A retrospective study was conducted on pediatric TBI patients presenting to a Level I Pediatric Trauma Center between January 2012 and July 2023. Transfer status, distance, mode of transport, and clinical outcomes were analyzed in relation to ADI. Statistical analyses were performed using Student t-test and analysis of variance. RESULTS: Of 359 patients, 53.5% were transferred from outside hospitals, with higher ADI scores observed in transfer patients (P<0.01). Air transport was associated with greater distances traveled and higher ADI compared to ground ambulance (P<0.01). Despite similarities in injury severity, intensive care unit admission rates differed between transfer modes, with no significant impact on mortality. CONCLUSIONS: High ADI patients were more likely to be transferred, suggesting disparities in access to specialized care. Differences in transfer modes highlight the influence of socioeconomic factors on logistical aspects. While transfer did not independently impact outcomes, disparities in intensive care unit admission rates were observed, possibly influenced by injury severity. Integrating socioeconomic data into clinical decision-making processes can inform targeted interventions to optimize care delivery and improve outcomes for all pediatric TBI patients. Prospective, multicenter studies are warranted to further elucidate these relationships.

SAP BusinessObjects in Medical Informatics.

Electronic health record (EHR) generates a large amount of data filled with opportunities to enhance documentation compliance, quality improvement, and other metrics. Various software tools exist, but many clinicians are unaware of them. Our institution switched from a hybrid of paper and multiple small EHRs to one all-inclusive EHR system. We faced significant challenges beyond the typical new software deployment phase that affected our departmental regulatory compliance, quality measures, and research initiatives. We aimed to navigate these issues through the use of medical informatics. We used a multidimensional database software analysis tool called SAP BusinessObjects® (SAP SE. Released 2020. SAP BusinessObjects, Version 14.2.8.3671. Waldorf, Germany) to design automated queries for the patient database to generate various reports for our department. As a result, We improved our anesthesia documentation non-compliance from 13-17% of all cases to 4% within months. We have also used this tool to automatically generate various reports such as preoperative beta-blocker administrations, caseloads, case complications, procedure logs, and medication records. Even today many departments rely on manual checks for even the most basic documentation and quality metric compliance, which can be time consuming and costly. Using medical informatics tools is a highly efficient alternative. Fortunately, many software tools exist within most modern EHR packages, and most people can learn to use these tools productively.

Risk Factors for Postoperative Unplanned Reintubation in a Cohort of Patients Undergoing General Anesthesia.

Background Unplanned post-operative reintubation (UPR) is a complication of general anesthesia (GA) that can be associated with worsened outcomes. Objective Evaluate characteristics associated with UPR in patients undergoing procedures under GA. Methods Patients over the age of 18 undergoing surgical procedures under GA were extracted from our institution's electronic medical record. Patient baseline, procedural, and anesthesia characteristics were evaluated for associations with UPR. Results In 29,284 surgical procedures undergoing GA, there were 29 (0.1%) patients that required UPR. The most common surgical service with UPR was otolaryngology; the most common surgical positioning was supine. When controlling for operative time and case complexity, UPR was predicted by high-dose opioids, defined as opioid administration greater than the 75th percentile of our institutional cohort. Prolonged operative time, estimated blood loss (EBL), body mass index (BMI), extubation time after reversal, or age were not independently associated with UPR. Conclusion Our analysis revealed that high-dose opioid administration is independently associated with intraoperative UPR. Awareness of patients at the highest risk for UPR along with provider education regarding techniques to avoid respiratory depression in this patient population is essential in reducing patient morbidity and mortality. This knowledge will help guide perioperative physicians in medical optimization, appropriate selection of intraoperative analgesics, and cautious extubation criteria to ensure patient safety.

Airway Management and Anesthesia for Tracheal Resection in a 68-Year-Old: 3 Airways for the Price of 1.

Subglottic tracheal stenosis can occur after prolonged intubation or tracheostomy. This stenosis can become severe and causes symptoms refractory to endoscopic interventions that require tracheal resection. This surgery presents unique anesthetic issues due to the airway anatomy, physiology, and shared airway management with the surgical team. We present the case of a 68-year-old patient who underwent cervical tracheal resection and reconstruction due to persistent symptoms despite balloon dilation and medical management with oxygen and heliox. Our anesthesia management involved several techniques that allowed the safe completion of this procedure. Firstly, we started the airway management with a combined size 4 Ambu® AuraStraight™ (Denmark) supraglottic airway device and flexible bronchoscopy to allow localization of the stenosis and dilation before endotracheal tube (ETT) placement. The conventional approach for this endoscopic evaluation phase is to use rigid bronchoscopy. Secondly, we used prior CT images to help guide our ETT tube size selection. Thirdly, we used total intravenous anesthesia during most of the procedure because of the intermittent apnea necessary to complete the tracheal resection. Lastly, extubation had to be done very carefully to minimize excessive patient neck movement and avoid any reintubation. Both could lead to a catastrophe with the newly reconstructed trachea.