PubMed COVID-19 Clinical Care

CONCLUSIONS: Children's National Hospital's triggers program highlights successful evolution of an iterative, customized approach to increase clinical utility that hospitals can implement to impact real-time patient care. This triggers program

[This corrects the article DOI: 10.1098/rsfs.2021.0072.][This corrects the article DOI: 10.1098/rsfs.2021.0072.].

This research examines patterns of intergenerational digital contact before and during the COVID-19 pandemic in England, using data from the English Longitudinal Study of Ageing (ELSA) Wave nine and the first Wave of the ELSA COVID-19 Sub-study

No abstract

CONCLUSION: The number of patients with ocular trauma decreased in 2020, but middle-aged (41-65y) are still high incident groups. Mechanical ocular trauma remains the leading cause of hospitalization for ocular trauma patients and the proportion of

Background: Our understanding of arrhythmias is minimal with SARS-CoV-2 virus and with the emergence of its double mutant, virtually nonexistent. Patients with the double mutant (B.1.617) SARS-CoV infection had more cardiac manifestations, including

CONCLUSIONS: During a crisis SRMH can identify the majority of those most likely to benefit from additional assessment and support. Persistently poor SRMH indicates highest risk, detectable from routine screening.

CONCLUSION: The number of rheumatoid arthritis and spondyloarthritis patients starting on biological disease-modifying anti-rheumatic drugs for the first time decreased during the first year of the coronavirus disease 2019 pandemic.

To evaluate the effect of Nirmatrelvir-ritonavir therapy and COVID-19 vaccination on clinical outcomes of SARS-Cov-2 Omicron infection，we retrospectively analyzed the clinical data of 762 adult patients with confirmed Omicron BA2.2 variant infection

Statistical methodologies have broader applications in almost every sector of life including education, hydrology, reliability, management, and healthcare sciences. Among these sectors, statistical modeling and predicting data in the healthcare