BACKGROUND: COVID-19 has infected millions of people worldwide, particularly in older adults. The first cases of possible reinfection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were reported in April 2020 among older adults. DESIGN/SETTING: In this brief report, we present three geriatric cases with two episodes of SARS-CoV-2 infection separated by a symptom-free interval. PARTICIPANTS: The participants of this brief report are three cases of hospitalized geriatric women. MEASUREMENTS/RESULTS: We note clinical and biological worsening during the second episode of COVID-19 for all three patients. Also, there is a radiological aggravation. The second episode of COVID-19 was fatal in all three cases. CONCLUSION: This series of three geriatric cases with COVID-19 diagnosed two times apart for several weeks questions the possibility of reinfection with SARS-CoV-2. It raises questions in clinical practice about the value of testing for SARS-CoV-2 infection again in the event of symptomatic reoccurrence.

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To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.

Introduction/PurposeExtreme ultra-endurance races are growing in popularity but their effects on skeletal muscles remain mostly unexplored. This longitudinal study explores physiological changes in mountain ultramarathon (MUM) athletes' quadriceps using quantitative magnetic resonance imaging (qMRI) coupled with serological biomarkers.The study aimed to monitor the longitudinal effect of the race and recovery, and to identify local inflammatory and metabolic muscle responses by codetection of biological markers. MethodsAn automatic image processing framework was designed to extract imaging-based biomarkers from qMRI acquisitions of the upper legs of 20 finishers at three time points.