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Anthony C. Gordon

Researcher at Imperial College London

Publications -  170
Citations -  14289

Anthony C. Gordon is an academic researcher from Imperial College London. The author has contributed to research in topics: Intensive care & Septic shock. The author has an hindex of 42, co-authored 149 publications receiving 8651 citations. Previous affiliations of Anthony C. Gordon include University of British Columbia & Imperial College Healthcare.

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Association Between Administration of Systemic Corticosteroids and Mortality Among Critically Ill Patients With COVID-19: A Meta-analysis.

TL;DR: A prospective meta-analysis that pooled data from 7 randomized clinical trials that evaluated the efficacy of corticosteroids in 1703 critically ill patients with COVID-19 found that low-dose dexamethasone reduced mortality in hospitalized patients with Cohen's disease who required respiratory support.
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Vasopressin versus Norepinephrine Infusion in Patients with Septic Shock

TL;DR: Low-dose vasopressin did not reduce mortality rates as compared with norepinephrine among patients with septic shock who were being treated with conventional (catecholamine) vasopressesors, and a test for heterogeneity between these two study strata was not significant.
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Genetic mechanisms of critical illness in Covid-19.

Erola Pairo-Castineira, +1449 more
- 04 Mar 2021 - 
TL;DR: The GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2244 critically ill Covid-19 patients from 208 UK intensive care units is reported, finding evidence in support of a causal link from low expression of IFNAR2, and high expression of TYK2, to life-threatening disease.
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A minimal common outcome measure set for COVID-19 clinical research

John Marshall, +62 more
TL;DR: A minimum set of common outcome measures for studies of COVID-19, which includes a measure of viral burden, patient survival, and patient progression through the health-care system by use of the WHO Clinical Progression Scale are urged.
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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

TL;DR: A reinforcement learning agent, the AI Clinician, can assist physicians by providing individualized and clinically interpretable treatment decisions to improve patient outcomes by extracting implicit knowledge from an amount of patient data that exceeds by many-fold the life-time experience of human clinicians.