ORCID Profile
0000-0001-9500-241X
Current Organisations
The University of Edinburgh
,
Univeristy of Edinburgh
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Publisher: F1000 Research Ltd
Date: 20-05-2021
DOI: 10.12688/WELLCOMEOPENRES.16584.2
Abstract: Background: Acute respiratory distress syndrome (ARDS) is a severe critical condition with a high mortality that is currently in focus given that it is associated with mortality caused by coronavirus disease 2019 (COVID-19). Neutrophils play a key role in the lung injury characteristic of non-COVID-19 ARDS and there is also accumulating evidence of neutrophil mediated lung injury in patients who succumb to infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods: We undertook a functional proteomic and metabolomic survey of circulating neutrophil populations, comparing patients with COVID-19 ARDS and non-COVID-19 ARDS to understand the molecular basis of neutrophil dysregulation. Results: Expansion of the circulating neutrophil compartment and the presence of activated low and normal density mature and immature neutrophil populations occurs in ARDS, irrespective of cause. Release of neutrophil granule proteins, neutrophil activation of the clotting cascade and upregulation of the Mac-1 platelet binding complex with formation of neutrophil platelet aggregates is exaggerated in COVID-19 ARDS. Importantly, activation of components of the neutrophil type I interferon responses is seen in ARDS following infection with SARS-CoV-2, with associated rewiring of neutrophil metabolism, and the upregulation of antigen processing and presentation. Whilst dexamethasone treatment constricts the immature low density neutrophil population, it does not impact upon prothrombotic hyperinflammatory neutrophil signatures. Conclusions: Given the crucial role of neutrophils in ARDS and the evidence of a disordered myeloid response observed in COVID-19 patients, this work maps the molecular basis for neutrophil reprogramming in the distinct clinical entities of COVID-19 and non-COVID-19 ARDS.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 06-2019
DOI: 10.1097/CCM.0000000000003727
Abstract: Systematically review evidence examining association between preadmission socioeconomic position and physical function, health-related quality of life and survival following critical illness. Four electronic databases (MEDLINE, Embase, CINAHL, CENTRAL) and personal libraries were searched. Reference lists of eligible articles were cross-checked. Primary quantitative studies reporting association between socioeconomic position and physical function, health-related quality of life, or survival of adults admitted to the ICU were included. Performed by two reviewers independently in duplicate using a prepiloted data extraction form. Quality appraisal was completed by two reviewers independently in duplicate using standardized algorithms and checklists. The Preferred Reporting Items for Systematic Reviews guidelines were followed. From 1,799 records, 10 studies were included, one examining association of socioeconomic position with health-related quality of life and five with survival. Four studies accounted for socioeconomic position in survival analyses. Patients with lower socioeconomic position were found to have higher ICU, in-hospital, 30-day, and long-term mortality and lower 6-month Short Form-12 Mental Component Summary scores. No articles examined socioeconomic position and performance-based physical function. Notable variability in methods of socioeconomic position assessment was observed. Lower socioeconomic position is associated with higher mortality and lower 6-month Short Form-12 Mental Component Summary scores following critical illness. Effect on performance-based physical function is unknown. We make recommendations for consistent socioeconomic position measurement in future ICU studies.
Publisher: BMJ
Date: 05-2020
DOI: 10.1136/BMJOPEN-2019-035613
Abstract: The number of inconclusive physical rehabilitation randomised controlled trials for patients with critical illness is increasing. Evidence suggests critical illness patient subgroups may exist that benefit from targeted physical rehabilitation interventions that could improve their recovery trajectory. We aim to identify critical illness patient subgroups that respond to physical rehabilitation and map recovery trajectories according to physical function and quality of life outcomes. Additionally, the utilisation of healthcare resources will be examined for subgroups identified. This is an in idual participant data meta-analysis protocol. A systematic literature review was conducted for randomised controlled trials that delivered additional physical rehabilitation for patients with critical illness during their acute hospital stay, assessed chronic disease burden, with a minimum follow-up period of 3 months measuring performance-based physical function and health-related quality of life outcomes. From 2178 records retrieved in the systematic literature review, four eligible trials were identified by two independent reviewers. Principal investigators of eligible trials were invited to contribute their data to this in idual participant data meta-analysis. Risk of bias will be assessed (Cochrane risk of bias tool for randomised trials). Participant and trial characteristics, interventions and outcomes data of included studies will be summarised. Meta-analyses will entail a one-stage model, which will account for the heterogeneity across and the clustering between studies. Multiple imputation using chained equations will be used to account for the missing data. This in idual participant data meta-analysis does not require ethical review as anonymised participant data will be used and no new data collected. Additionally, eligible trials were granted approval by institutional review boards or research ethics committees and informed consent was provided for participants. Data sharing agreements are in place permitting contribution of data. The study findings will be disseminated at conferences and through peer-reviewed publications. CRD42019152526.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2012
End Date: 2014
Funder: Chief Scientist Office
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