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expert reaction to preprint reporting clinical features of 16,749 hospitalised UK patients with COVID-19

A preprint, uploaded to medRxiv, reports on the clinical features of 16,749 hospitalised UK patients with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol.

An SMC briefing accompanied this roundup.

 

Prof Derek Hill, Professor of Medical Imaging, University College London (UCL), said:

“This is an extremely impressive preprint describing the characteristics of nearly 17000 patients with confirmed COVID-19 in UK hospitals.

“Important to note it only covers those admitted to hospital, and that it is a snapshot of outcomes: many patients included are still in hospital so their outcomes are not yet know.  Therefore all the mortality and survival numbers are subject to change.

“This is an especially large study so it provides helpful insights into the symptoms of COVID-19 patients admitted to hospital.  As has been reported many times, this is not like flu in who gets seriously ill or in mortality: young children seem to have low risk and pregnant women do not have a increased risk of serious illness, and it is deadlier than flu.  There are several distinctive clusters of symptoms, with a significant number of patients not having the characteristic cough and  fever symptoms.  If extrapolated to the community this might suggest some deaths due to COVID-19 might be missed in untested people.  This work also highlights the link between obesity and poor outcome from COVID-19.

“Overall an impressive and informative data gathering exercise.  It is a preprint so peer review is on going.”

 

Preprint (not a paper): ‘Features of 16,749 hospitalised UK patients with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol’ by Annemarie B Docherty et al. is on medRxiv.  This work is not peer-reviewed.

https://www.medrxiv.org/content/10.1101/2020.04.23.20076042v1

 

All our previous output on this subject can be seen at this weblink:

www.sciencemediacentre.org/tag/covid-19

 

Declared interests

None received.

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