Articles: cations.
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Paediatric anaesthesia · May 2022
Initial results from an Enhanced Recovery Program for pediatric cardiac surgical patients.
Over recent years, a number of enhanced recovery programs have appeared in first, adult colorectal surgery, and subsequently many other adult surgical specialties. Increasing interest in this approach to perioperative management in children culminated in the recent development of the first enhanced recovery pathway for pediatric intestinal surgery, endorsed by Enhanced Recovery after Surgery Society (ERAS®). In parallel, there has been increasing interest in the refinement of perioperative management of selected pediatric cardiac surgical patients, invariably referred to as "fast track" management. Initiatives have largely focused on duration of postoperative ventilation rather than on a much wider range of perioperative interventions to optimize recovery and ensure timely discharge after surgery. In our institution, a "Level 1" pediatric cardiac surgical center, we assembled a multidisciplinary team to design a comprehensive enhanced recovery pathway, based on ERAS® methodology, for selected cardiac surgical patients. After a lengthy period of planning, staff education, and preparation, we implemented the pathway at the end of November 2019. ⋯ These preliminary results suggest that enhanced recovery pathway implementation for selected pediatric cardiac surgical patients is feasible, with acceptable outcomes. They suggest areas for further development and the potential for wider implementation.
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In the context of the coronavirus disease 2019 (COVID-19) pandemic, many retrospective single-centre or specialised centre reports have shown promising mortality rates with the use of extracorporeal membrane oxygenation (ECMO) therapy. However, the mortality rate of an entire country throughout the COVID-19 pandemic remains unknown. ⋯ In Germany, a large proportion of elderly patients with COVID-19 were treated with ECMO, with an unacceptably high hospital mortality. Considering these data, the unconditional use of ECMO therapy in COVID-19 must be carefully considered and advanced age should be considered as a relative contraindication.
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A 31-year-old G2P1 (gravida 2 para 1) woman at 34 weeks of gestation presented after a motor vehicle collision with an incomplete cervical spinal cord injury. The patient underwent emergent anterior cervical decompression and fusion (ACDF), immediately followed by cesarean delivery. We discuss the clinical decision making to perform ACDF first, weighing risks and benefits to both mother and baby. We also address important anesthetic considerations for this pregnant patient having emergent spine surgery, including positioning with left uterine displacement, rapid sequence intubation to minimize aspiration risk, choice of vasopressor, implications of total intravenous maintenance anesthetic, and the medical teams involved in this care.
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CB2 cannabinoid receptors (CB2) are a promising therapeutic target that lacks unwanted side effects of CB1 activation. However, the cell types expressing CB2 that mediate these effects remain poorly understood. We used transgenic mice with CB2 promoter-driven expression of enhanced green fluorescent protein (EGFP) to study cell types that express CB2 and suppress neuropathic nociception in a mouse model of chemotherapy-induced peripheral neuropathy. ⋯ EGFP fluorescence was also expressed in dendritic cells in the dermis, Langerhans cells in the epidermis, and Merkel cells. Quantification of the EGFP signal revealed that Langerhans cells were dynamically increased in the epidermis after paclitaxel treatment. Our studies implicate CB2 expressed in previously unrecognized populations of skin cells as a potential target for suppressing chemotherapy-induced neuropathic nociception.
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The authors have developed pretrained machine learning (ML) models to evaluate neonatal head shape deformities using top-down and facial orthogonal photographs of the patient's head. In previous preliminary analysis, this approach was tested with images from an open-source data bank. ⋯ Machine learning-driven image analysis represents a promising strategy for the identification of craniosynostosis in a real-world practice setting. This approach has potential to reduce the need for imaging and facilitate referral by primary care providers.