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J Clin Med ; 10(4)2021 Feb 05.
Article in English | MEDLINE | ID: covidwho-1753562

ABSTRACT

There is increasing interest in the use of technology to support social health in dementia. The primary objective of this systematic review was to synthesize evidence of effectiveness of digital technologies used by people with dementia to improve self-management and social participation. Records published from 1 January 2007 to 9 April 2020 were identified from Pubmed, PsycInfo, Web of Science, CINAHL, and the Cochrane Central Register of Controlled Trials. Controlled interventional studies evaluating interventions based on any digital technology were included if: primary users of the technology had dementia or mild cognitive impairment (MCI); and the study reported outcomes relevant to self-management or social participation. Studies were clustered by population, intervention, and outcomes, and narrative synthesis was undertaken. Of 1394 records identified, nine met the inclusion criteria: two were deemed to be of poor methodological quality, six of fair quality, and one of good quality. Three clusters of technologies were identified: virtual reality, wearables, and software applications. We identified weak evidence that digital technologies may provide less benefit to people with dementia than people with MCI. Future research should address the methodological limitations and narrow scope of existing work. In the absence of strong evidence, clinicians and caregivers must use their judgement to appraise available technologies on a case-by-case basis.

2.
Diabet Med ; 38(11): e14608, 2021 11.
Article in English | MEDLINE | ID: covidwho-1273085

ABSTRACT

AIMS: Aim of this study is to report severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, responsible for coronavirus disease 2019 (COVID-19), as a possible cause for type 1 diabetes by providing an illustrative clinical case of a man aged 45 years presenting with antibody-negative diabetic ketoacidosis post-recovery from COVID-19 pneumonia and to explore the potential for SARS-CoV-2 to adhere to human islet cells. METHODS: Explanted human islet cells from three independent solid organ donors were incubated with the SARS-CoV-2 spike protein receptor biding domain (RBD) fused to a green fluorescent protein (GFP) or a control-GFP, with differential adherence established by flow cytometry. RESULTS: Flow cytometry revealed dose-dependent specific binding of RBD-GFP to islet cells when compared to control-GFP. CONCLUSIONS: Although a causal basis remains to be established, our case and in vitro data highlight a potential mechanism by which SARS-CoV-2 infection may result in antibody-negative type 1 diabetes.


Subject(s)
COVID-19/therapy , Diabetes Mellitus, Type 1/diagnosis , Diabetic Ketoacidosis/diagnosis , Islets of Langerhans/metabolism , SARS-CoV-2/metabolism , Spike Glycoprotein, Coronavirus/metabolism , COVID-19/complications , Diabetes Mellitus, Type 1/drug therapy , Diabetes Mellitus, Type 1/etiology , Diabetic Ketoacidosis/etiology , Diabetic Ketoacidosis/therapy , Humans , In Vitro Techniques , Male , Middle Aged
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