PubMed COVID-19 Clinical Care

CONCLUSIONS: This study expands on prior studies assessing COVID-19 immunity and IgG seroconversion by including both RT-PCR and serologic testing and longitudinal follow-up of study participants. We observed decreased infection rates over the 9

CONCLUSIONS: Our study suggests an association between the flushing phenomenon after drinking and a decreased risk of COVID-19 morbidity and hospitalization, suggesting that the rs671 variant is a protective factor. This study provides valuable

Nursing burnout, a result of prolonged occupational stress, has always been a challenge in health care, but recently the COVID-19 pandemic made this issue into a national priority. In fact, burnout among health care workers is one of the four

CONCLUSIONS: The COVID-19 Code Blue policy was associated with delayed processes of care but similarly good CPR quality. The COVID-19 period appeared associated with decreased survival.

No abstract

CONCLUSION: Models developed using machine learning techniques during the first pandemic wave cannot be applied with adequate performance to patients admitted in subsequent waves without prior validation.

CONCLUSIONS: Concerns about the cultural appropriateness of foods provided, communication challenges, and public charge emphasize the need for resources dedicated in the WIC program to improving Spanish-speaking Latina women's experiences with WIC.

CONCLUSIONS: This study gave an overview of current activities and needs of Bavarian SHGs. The implementation of patient guides, comprehensive information material and low-threshold psycho-oncological services should be objectives in future care to

Community structure analysis compared city characteristics and newspaper coverage of state/local government responses to COVID-19 in 25 major U.S. cities, sampling all 250+ word articles from 4/4/20 to 7/6/20. The resulting 588 articles were coded

CONCLUSIONS: The diagnosis code-only algorithm for COVID-19 hospitalization showed low validity throughout the study period. The algorithms for hospitalizations, moderate or higher status, and severe status with COVID-19, consisting of both diagnosis