The aim was to evaluate if the addition of video discharge instructions (VDIs) to usual verbal information improved the comprehension of information provided to caregivers of patients who consult for acute gastroenteritis (AGE). We conducted an open-label, parallel, randomized trial, enrolling patients who consulted for AGE at a tertiary hospital. First, caregivers answered a written test concerning AGE characteristics and management. They were randomly allocated to a control group, which received the usual verbal instructions, or to an intervention group, which additionally received VDI. After discharge, caregivers were contacted by telephone and answered the same test, satisfaction questions, and follow-up information. From September 2019 to March 2020, 139 patients were randomized, 118 completed follow-up. The mean score was 3.13 (SD 1.07) over 5 points in the initial test and 3.96 (SD 0.96) in the follow-up test. Patients in the intervention group had a greater improvement (1.17 points, SD 1.11) than those in the control group (0.47 points, SD 0.94, p < 0.001). In the follow-up test, 49.1% in the intervention group and 18.6% in the control group answered all questions correctly (p < 0.001). There were no significant differences in return visits. Caregivers gave high satisfaction scores regardless of the allocation group. Conclusion: Video instructions improve caregivers' understanding of discharge information. Trial registration: [NCT04463355, retrospectively registered July 9, 2020]. What is Known: • Poor comprehension of discharge instructions leads to incorrect treatment after discharge, increased readmissions and a reduction of caregivers' satisfaction. • Video discharge instructions are useful providing concise information independently of the patients' health literacy level or communication skills of the health care provider What is New: • The addition of video discharge instructions to verbal instructions improves caregivers' knowledge about AGE improved with respect to those who only receive verbal instructions • Video instructions do not add extra time to the emergency department visits

We present a case of a 10-year-old male with Staphylococcus aureus mitral endocarditis who was initially misdiagnosed with multisystem inflammatory syndrome associated with coronavirus disease 2019, with eventual fatal outcome due to brain hemorrhage after cardiac intervention. Our case differs from recent studies, in which microbleeds did not increase the risk of hemorrhagic stroke or global mortality risk.

Objective Analysis of longitudinal data can provide neonatologists with tools that can help predict clinical deterioration and improve outcomes. The aim of this study is to analyze continuous monitoring data in newborns, using vital signs to develop predictive models for intensive care admission and time to discharge. Study Design We conducted a retrospective cohort study, including term and preterm newborns with respiratory distress patients admitted to the neonatal ward. Clinical and epidemiological data, as well as mean heart rate and saturation, at every minute for the first 12 hours of admission were collected. Multivariate mixed, survival and joint models were developed. Results A total of 56,377 heart rate and 56,412 oxygen saturation data were analyzed from 80 admitted patients. Of them, 73 were discharged home and 7 required transfer to the intensive care unit (ICU). Longitudinal evolution of heart rate (p < 0.01) and oxygen saturation (p = 0.01) were associated with time to discharge, as well as birth weight (p < 0.01) and type of delivery (p < 0.01). Longitudinal heart rate evolution (p < 0.01) and fraction of inspired oxygen at admission at the ward (p < 0.01) predicted neonatal ICU (NICU) admission. Conclusion Longitudinal evolution of heart rate can help predict time to transfer to intensive care, and both heart rate and oxygen saturation can help predict time to discharge. Analysis of continuous monitoring data in patients admitted to neonatal wards provides useful tools to stratify risks and helps in taking medical decisions. Key Points