PubMed COVID-19 Clinical Care

CONCLUSIONS: These finding suggest that salivary CRP and IL-6 are particularly relevant as potential non-invasive biomarker for predicting diabetes risk in mild cases of COVID-19 accompanied with periodontitis.

BACKGROUND: Dermatitis is a skin condition caused by multiple causes, including radiotherapy treatment. Pharmacological treatments can become chronic and are not exempt from side effects. The latest recommendations of the American Academy of

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CONTEXT: Artificial intelligence (AI) is increasingly being recognized as having potential importance to primary care (PC). However, there is a gap in our understanding about where to focus efforts related to AI for PC settings, especially given the

Hands are the primary mode of transmission of microbe-based infections, as they harbor normal microbiota and pathogenic microbes. SARS-CoV-2 has endangered lives worldwide, and WHO has recommended good hygiene practices, especially hand hygiene. In

Over the last two decades, cardiovascular diseases have become the leading cause of chronic disease morbidity and mortality in Italy. Therefore, the chronic cardiovascular care landscape has evolved rapidly in an era of unprecedented demand

CONCLUSIONS: Several quality indicators improved over time in early contributor hospitals. Indicators that did not improve may be targets for future care improvement activities, including considering incentivised hip fracture care, which has

During January-August 2021, the Community Prevalence of SARS-CoV-2 Study used time/location sampling to recruit a cross-sectional, population-based cohort to estimate SARS-CoV-2 seroprevalence and nasal swab sample PCR positivity across 15 US

Since 2020, the COVID-19 epidemic has changed our lives in healthcare behaviors. Forced to wear masks influenced doctor-patient interaction perceptions truly, thus, to build a satisfying relationship is not just empathize with facial expressions. The

Search data were found to be useful variables for COVID-19 trend prediction. In this study, we aimed to investigate the performance of online search models in state space models (SSMs), linear regression (LR) models, and generalized linear models