Multidisciplinary management of a neonate with kaposiform hemangioendothelioma with extensive cranial fossa destruction.

Kaposiform hemangioendothelioma is a rare, benign, locally destructive vascular tumor. Kasabach-Merritt phenomenon, a consumptive coagulopathy, is a life-threatening complication associated with kaposiform hemangioendothelioma. We describe a case of kaposiform hemangioendothelioma complicated by Kasabach-Merritt phenomenon in a neonate born with a large facial mass with deep extension toward the cranium and airway. The mass was not identified prenatally. The patient was a 37-week gestation age female neonate born via spontaneous vaginal delivery and noted to have a large left-sided facial mass that was not noted on the most recent prenatal ultrasound at 22 weeks gestation age. At birth, the patient was in respiratory distress and required continuous positive airway pressure support. Imaging revealed a large highly vascularized soft tissue mass adjacent to the airway with intracranial extension and bony destruction. Fine needle aspiration confirmed kaposiform hemangioendothelioma. On day of life 6, the patient was noted to have thrombocytopenia, elevated d-dimer, anemia, and hypofibrinogenemia, consistent with Kasabach-Merritt phenomenon, which resolved at day of life 12. Given the location and extent of the mass, medical therapy with single agent oral sirolimus was chosen over surgery. At 13-month follow-up, the infant is well on sirolimus therapy, and the mass has decreased in size, both clinically and on imaging. This case highlights the importance of prompt diagnosis and management of kaposiform hemangioendothelioma with extensive craniofacial and bony involvement with Kasabach-Merritt phenomenon with single oral therapy of sirolimus. Fibrinogen concentrate may be considered in the Kasabach-Merritt phenomenon refractory to cryoprecipitate.

Evaluating the Clinical Impact of a Novel Pediatric Emergency Medicine Curriculum on Asthma Outcomes in Belize.

BACKGROUND: Respiratory-related complaints prompt most pediatric visits to Karl Heusner Memorial Hospital Authority's (KHMHA) Emergency Department (ED) in Belize. We developed and taught a novel pediatric respiratory emergencies module for generalist practitioners there. We assessed the curriculum's clinical impact on pediatric asthma emergency management. OBJECTIVE: This study assesses the clinical impact of a pediatric emergency medicine curriculum on management of pediatric asthma emergencies at KHMHA in Belize City, Belize. METHODS: We conducted a randomized chart review of pediatric (aged 2-16 y) visits for asthma-related diagnosis at the KHMHA ED between 2015 and 2018 to assess the training module's clinical impact. Primary outcomes included time to albuterol and steroids. Secondary outcomes included clinical scoring tool (Pediatric Respiratory Assessment Measure [PRAM]) usage, ED length of stay, usage of chest radiography, return visit within 7 days, and hospital admission rates. Kaplan-Meier survival analysis and Cox proportional hazard regression were used. RESULTS: Two hundred eighty-three pediatric asthma-related diagnoses met our inclusion criteria. The patients treated by trained and untrained physician groups were demographically and clinically similar. The time to albuterol was significantly faster in the trained (intervention) group compared with the untrained (control) physician group when evaluating baseline of the group posttraining (P < 0.05). However, the time to steroids did not reach statistical significance posttraining (P = 0.93). The PRAM score utilization significantly increased among both control group and intervention group. The untrained physician group was more likely to use chest radiography or admit patients. The trained physician group had higher return visit rates within 7 days and shorter ED length of stay, but this did not reach statistical significance. CONCLUSIONS: The curriculum positively impacted clinical outcomes leading to earlier albuterol administration, increased PRAM score use, obtaining less chest radiographs, and decreased admission rates. The timeliness of systemic steroid administration was unaffected.

The Low Submuscular Reservoir Placement With Transfascial Fixation for Inflatable Penile Prostheses.

BACKGROUND: Several techniques have been described for placement of inflatable penile prostheses (IPP) reservoirs, with variable satisfaction. Standard placement in the Space of Retzius can present with several complications and may be technically difficult in patients with a violated space. Concerns with ectopic reservoir placement have included reservoir herniation and lack of reservoir concealability. AIM: To present a novel technique to achieve reservoir concealment with decreased postoperative complications as an alternative to standard approaches of ectopic reservoir placement. METHODS: We describe our novel low submuscular reservoir (LSM) placement with transfascial fixation (TFF) for inflatable penile prostheses. OUTCOMES: Patient satisfaction with reservoir concealment, complication rate or need for additional surgeries. RESULTS: A total of 31 cases successfully underwent our technique. The low submuscular placement with TFF of the IPP reservoir offers an optimal approach for reservoir placement with a high degree of patient satisfaction with significant ease of placement compared to alternative methods. CLINICAL IMPLICATIONS: Penile prosthetic surgeons should be familiar with several techniques for concealment of reservoir as an option to improve patient satisfaction. STRENGTHS AND LIMITATIONS: Given the small sample size of patients who have undergone this novel technique, current literature regarding the topic is limited. CONCLUSION: Low submuscular reservoir placement with transfascial fixation for IPPs is a technically feasible approach that can be employed to achieve patient satisfaction and decrease the risk of reservoir herniation. Khoei A, Racik N, Bansal U, et al. The Low Submuscular Reservoir Placement With Transfascial Fixation for Inflatable Penile Prostheses. J Sex Med 2022;19:1309-1312.

Community-Academic Partnerships to Promote Health Literacy and Address Social Needs Among Low-Income Families During COVID-19.

Brighter Bites is a school-based health promotion program that delivers fresh produce and nutrition education to low-income children and their families across 6 locations in the US. This article provides a perspective on how, despite coronavirus disease 2019-related school closures, Brighter Bites pivoted rapidly to collaborate with medical and public health institutions to improve health and food literacy among their families. Through these partnerships, Brighter Bites was able to rapidly provide accurate, evidence-based information related to coronavirus disease 2019 and other social needs, including food, housing, transportation, and access to health care, to help fill a needed gap in vulnerable communities.

Artificial Intelligence in Global Health -A Framework and Strategy for Adoption and Sustainability.

Artificial Intelligence (AI) applications in medicine have grown considerably in recent years. AI in the forms of Machine Learning, Natural Language Processing, Expert Systems, Planning and Logistics methods, and Image Processing networks provide great analytical aptitude. While AI methods were first conceptualized for radiology, investigations today are established across all medical specialties. The necessity for proper infrastructure, skilled labor, and access to large, well-organized data sets has kept the majority of medical AI applications in higher-income countries. However, critical technological improvements, such as cloud computing and the near-ubiquity of smartphones, have paved the way for use of medical AI applications in resource-poor areas. Global health initiatives (GHI) have already begun to explore ways to leverage medical AI technologies to detect and mitigate public health inequities. For example, AI tools can help optimize vaccine delivery and community healthcare worker routes, thus enabling limited resources to have a maximal impact. Other promising AI tools have demonstrated an ability to: predict burn healing time from smartphone photos; track regions of socioeconomic disparity combined with environmental trends to predict communicable disease outbreaks; and accurately predict pregnancy complications such as birth asphyxia in low resource settings with limited patient clinical data. In this commentary, we discuss the current state of AI-driven GHI and explore relevant lessons from past technology-centered GHI. Additionally, we propose a conceptual framework to guide the development of sustainable strategies for AI-driven GHI, and we outline areas for future research.