Heart transplant in a Sars-CoV-2 positive recipient: Management protocol of the world's first case.

The advent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in China at the end of 2019 has developed into a global outbreak, and COVID- 19 is an ongoing major public health issue. During the pandemic, transplant programs had to devise strategies to deal with the possibility of COVID-19-positive donors and recipients. We describe the case of a heart transplant recipient who tested positive with the SARS- CoV2 swab upon admission to our Unit of Cardiac Surgery when a suitable donor became available. Given his clinical status of end-stage heart failure and the absence of imaging and clinical signs suggestive of COVID-19, and his having been vaccinated with three doses, we decided to proceed with the transplant.

Epidemiological and Clinical Characteristics of Hospitalized Pediatric Patients with SARS-CoV-2 Infection in Mexico City, Mexico.

Background: Evidence from across the world suggests that the pediatric population shows different clinical manifestations and has a lower risk of severe presentation of SARS-CoV-2 infection compared to adults. However, Mexico has one of the highest mortality rates in the pediatric population due to SARS-CoV-2 infection. Therefore, our objective was to explore the epidemiological and clinical characteristics associated with a positive confirmatory test in the Mexican pediatric population admitted to a tertiary care hospital in Mexico City. Methods: Clinical, imaging and laboratory data were retrospectively collected from 121 children hospitalized during the period from March 4th, 2020, to August 8th, 2021. The patients were identified as suspicious cases according to the guidelines of the General Directorate of Epidemiology of Mexico. Real-time polymerase chain reaction (RT-PCR) tests were used to confirm SARS-CoV-2 infection. Categorical variables were compared using the Chi-square test, and propensity score matching was performed to determine univariate and multivariate odds ratios of the population regarding a positive vs. negative SARS-CoV-2 result. Results: Of the 121 children, 36 had laboratory-confirmed SARS-CoV-2 infection. The main risk for SARS-CoV-2-associated pediatric hospitalization was contact with a family member with SARS-CoV-2. It was also found that fever and fatigue were statistically significantly associated with a positive SARS-CoV-2 test in multivariate models. Clinical and laboratory data in this Mexican hospitalized pediatric cohort differ from other reports worldwide; the mortality rate (1.6%) of the population studied was higher than that seen in reports from other countries. Conclusion: Our study found that fever and fatigue at hospital presentation as well as an antecedent exposure to a family member with SARS-CoV-2 infection were important risk factors for SARS-CoV-2 positivity in children at hospital admission.

Feature Selection and Validation of a Machine Learning-Based Lower Limb Risk Assessment Tool: A Feasibility Study.

Early and self-identification of locomotive degradation facilitates us with awareness and motivation to prevent further deterioration. We propose the usage of nine squat and four one-leg standing exercise features as input parameters to Machine Learning (ML) classifiers in order to perform lower limb skill assessment. The significance of this approach is that it does not demand manpower and infrastructure, unlike traditional methods. We base the output layer of the classifiers on the Short Test Battery Locomotive Syndrome (STBLS) test used to detect Locomotive Syndrome (LS) approved by the Japanese Orthopedic Association (JOA). We obtained three assessment scores by using this test, namely sit-stand, 2-stride, and Geriatric Locomotive Function Scale (GLFS-25). We tested two ML methods, namely an Artificial Neural Network (ANN) comprised of two hidden layers with six nodes per layer configured with Rectified-Linear-Unit (ReLU) activation function and a Random Forest (RF) regressor with number of estimators varied from 5 to 100. We could predict the stand-up and 2-stride scores of the STBLS test with correlation of 0.59 and 0.76 between the real and predicted data, respectively, by using the ANN. The best accuracies (R-squared values) obtained through the RF regressor were 0.86, 0.79, and 0.73 for stand-up, 2-stride, and GLFS-25 scores, respectively.

Residency training in the time of COVID-19: A framework for academic medical centers dealing with the pandemic.

BACKGROUND: As cases of COVID-19 climb worldwide, academic medical centers (AMCs) are scrambling to balance the increasing demand for medical services while maintaining safe learning environments. The scale and nature of the current pandemic, limitations on key resources, risks of transmission, and the impact on trainee wellbeing pose additional challenges to AMCs. We propose a framework for AMCs to utilize in facilitating health system, organization and program-level adjustments to meet the needs of medical trainees during the pandemic. APPROACH: In February 2020, we developed a three-level approach to the pandemic response of training programs at our AMC. The first level involved AMC alignment and engagement with regulatory stakeholders. The second level utilized the graduate medical education committee and leveraged organizational functions such as human resources, finance, and clinical departments. The third level of intervention focused on common approaches used by programs to ensure continuity of learning in the context of dynamic changes in workflows and service operations. EVALUATION: Outcomes at each level are reported. These include the co-development of a national framework on medical trainee responses to COVID-19, the composition of an operational guidance document, organizational protocols to accommodate novel challenges posed by the pandemic, and multiple program-level interventions. REFLECTION: This methodical approach, employed during a global crisis, was critical in facilitating interventions required to fulfill the mission of AMCs. Future steps include assessing the impact of these changes on trainee performance and the applicability of the approach in diverse settings.