Pectoral nerve blocks decrease postoperative pain and opioid use after pacemaker or implantable cardioverter-defibrillator placement in children.

BACKGROUND: Pectoral nerve blocks (PECs) can reduce intraprocedural anesthetic requirements and postoperative pain. Little is known about the utility of PECs in reducing pain and narcotic use after pacemaker (PM) or implantable cardioverter-defibrillator (ICD) placement in children. OBJECTIVE: The purpose of this study was to determine whether PECs can decrease postoperative pain and opioid use after PM or ICD placement in children. METHODS: A single-center retrospective review of pediatric patients undergoing transvenous PM or ICD placement between 2015 and 2020 was performed. Patients with recent cardiothoracic surgery or neurologic/developmental deficits were excluded. Demographics, procedural variables, postoperative pain, and postoperative opioid usage were compared between patients who had undergone PECs and those who had undergone conventional local anesthetic (Control). RESULTS: A total of 74 patients underwent PM or ICD placement; 20 patients (27%) underwent PECs. There were no differences between PECs and Control with regard to age, weight, gender, type of device placed, presence of congenital heart disease, type of anesthesia, procedural time, or complication rates. Patients who underwent PECs had lower pain scores at 1, 2, 6, 18, and 24 hours compared to Control. PECs patients had a lower mean cumulative pain score [PECs 1.5 (95% confidence interval [CI] 0.8-2.2) vs Control 3.1 (95% CI 2.7-3.5); P <.001] and lower total opioid use [PECs 6.0 morphine milligram equivalent (MME)/m2 (95% CI 3.4-8.6) vs Control 15.0 MME/m2 (95% CI 11.8-18.2); P = .001] over the 24 hours postimplant. CONCLUSION: PECs reduce postoperative pain scores and lower total opioid usage after ICD or PM placement. PECs should be considered at the time of transvenous device placement in children.

Lessons Learned About Autonomous AI: Finding a Safe, Efficacious, and Ethical Path Through the Development Process.

Artificial intelligence (AI) describes systems capable of making decisions of high cognitive complexity; autonomous AI systems in healthcare are AI systems that make clinical decisions without human oversight. Such rigorously validated medical diagnostic AI systems hold great promise for improving access to care, increasing accuracy, and lowering cost, while enabling specialist physicians to provide the greatest value by managing and treating patients whose outcomes can be improved. Ensuring that autonomous AI provides these benefits requires evaluation of the autonomous AI's effect on patient outcome, design, validation, data usage, and accountability, from a bioethics and accountability perspective. We performed a literature review of bioethical principles for AI, and derived evaluation rules for autonomous AI, grounded in bioethical principles. The rules include patient outcome, validation, reference standard, design, data usage, and accountability for medical liability. Application of the rules explains successful US Food and Drug Administration (FDA) de novo authorization of an example, the first autonomous point-of-care diabetic retinopathy examination de novo authorized by the FDA, after a preregistered clinical trial. Physicians need to become competent in understanding the potential risks and benefits of autonomous AI, and understand its design, safety, efficacy and equity, validation, and liability, as well as how its data were obtained. The autonomous AI evaluation rules introduced here can help physicians understand limitations and risks as well as the potential benefits of autonomous AI for their patients.

Case report: airway and concurrent hemodynamic management in a neonate with oculo-auriculo-vertebral (Goldenhar) syndrome, severe cervical scoliosis, interrupted aortic arch, multiple ventricular septal defects, and an unstable cervical spine.

We report the challenging case of a 1-week-old, term, 2.4 kg neonate with Goldenhar syndrome (including microcephaly, left microtia, left facial palsy, dextro-scoliosis of the cervical spine, and cervico-thoracic levoscoliosis), multiple ventricular septal defects, a type B interrupted aortic arch, a large patent ductus arteriosis, and radiographic and clinical signs concerning for an unstable cervical spine. Our anesthesia team was consulted for perioperative management of this patient during her surgical repair. This case report describes the use of the Air-Q size 1 laryngeal airway (LA) to assist fiberoptic intubation in an ASA 4 neonate with cardiac disease, an anticipated difficult airway with the addition of an unstable cervical spine, as well as the anesthetic techniques used to maintain hemodynamic stability while the airway was secured.