PubMed COVID-19 Clinical Care

CONCLUSION: In addition to earliness, the 2022-23 bronchiolitis epidemic was significant as regards its exceptional scale and major impact on the hospital system, requiring adaptation of the preexisting healthcare offer in response to the anticipated

CONCLUSIONS: Type I IFN autoantibodies can be detected in noninvasive saliva samples, alongside conventional plasma samples, from COVID-19 patients and are associated with worse outcomes, such as greater mechanical ventilation needs and in-hospital

We explored the role of school nurses during the COVID-19 pandemic by conducting interviews and focus groups with them in 2022 and 2023 in an urban public school district. Findings indicated that school nurses played an essential public health role

We report a prozone effect in measurement of SARS-CoV-2 spike protein antibody levels from an antibody surveillance program. Briefly, the prozone effect occurs in immunoassays when excessively high antibody concentration disrupts the immune complex

After 27 years of declining U.S. tuberculosis (TB) case counts, the number of TB cases declined considerably in 2020, coinciding with the COVID-19 pandemic. For this analysis, TB case counts were obtained from the National TB Surveillance System. U.S

CONCLUSIONS: In ECMO patients receiving ceftazidime/avibactam, ceftazidime and avibactam serum levels are above EUCAST breakpoints in most cases, justifying the use of normal dosing in ECMO patients. Increased renal clearance may lead to ceftazidime

CONCLUSIONS: There is a strong clinical endorsement to continue the telehealth flexibility enabled by the PHE, primarily for video combined with audio telehealth, with caution against audio-only telehealth in situations where hands-on intervention is

Whilst NHS Health Service management is usually characterized by hierarchized bureaucracy and profit-driven competitiveness, the COVID-19 pandemic drastically disrupted these ways of working and allowed London-based non-clinical management to

University students are experiencing a mental health crisis. COVID-19 has exacerbated this situation. We have surveyed students in 2 universities in Lebanon to gauge their mental health challenges. We have constructed a machine learning (ML) approach

CONCLUSION: Our findings suggest that reduced frequency viral monitoring protocols may be safe and cost-effective. This quality assurance initiative should be extended to detect longer-term and tissue-invasive disease outcomes.