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1.
BMC Musculoskelet Disord ; 24(1): 192, 2023 Mar 14.
Article in English | MEDLINE | ID: covidwho-2261630

ABSTRACT

BMC Musculoskeletal Disorders launched a Collection on digital health to get a sense of where the wind is blowing, and what impact these technologies are and will have on musculoskeletal medicine. This editorial summarizes findings and focuses on some key topics, which are valuable as digital health establishes itself in patient care. Elements discussed are digital tools for the diagnosis, prognosis and evaluation of rheumatic and musculoskeletal diseases, coupled together with advances in methodologies to analyse health records and imaging. Moreover, the acceptability and validity of these digital advances is discussed. In sum, this editorial and the papers presented in this article collection on Digital health in musculoskeletal care will give the interested reader both a glance towards which future we are heading, and which new challenges these advances bring.


Subject(s)
Musculoskeletal Diseases , Telemedicine , Humans , Telemedicine/methods , Musculoskeletal Diseases/diagnosis , Musculoskeletal Diseases/therapy
2.
Viruses ; 15(3)2023 02 23.
Article in English | MEDLINE | ID: covidwho-2280657

ABSTRACT

The unprecedented COVID-19 pandemic took the form of successive variant waves, spreading across the globe. We wanted to investigate any shift in hospitalised patients' profiles throughout the pandemic. For this study, we used a registry that collected data automatically from electronic patient health records. We compared clinical data and severity scores, using the National Institute of Health (NIH) severity scores, from all patients admitted for COVID-19 during four SARS-CoV-2 variant waves. Our study concluded that patients hospitalised for COVID-19 showed very different profiles across the four variant waves in Belgium. Patients were younger during the Alpha and Delta waves and frailer during the Omicron period. 'Critical' patients according to the NIH criteria formed the largest fraction among the Alpha wave patients (47.7%), while 'severe' patients formed the largest fraction among Omicron patients (61.6%). We discussed host factors, vaccination status, and other confounders to put this into perspective. High-quality real-life data remain crucial to inform stakeholders and policymakers that shifts in patients' clinical profiles have an impact on clinical practice.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , COVID-19/epidemiology , Belgium/epidemiology , Pandemics , Hospitals, University
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