The data covered 8 February to 22 May, during which there were 5062 ICU cases in 94 NHS trusts across England, with 1547 patient deaths and 1618 discharges from ICU.
The peer-reviewed paper - "Between-centre differences for COVID-19 ICU mortality from early data in England" - is published in Intensive Care Medicine.
In the worst case, COVID-19 patients in the intensive care unit (ICU) of a particular NHS trust were over four times as likely to die in a given time period than COVID-19 patients in an average trust's ICU.
Using data science techniques, the team revealed that the NHS trust in which a COVID-19 patient ended up in intensive care is as important, in terms of the risk of death, as the strongest patient-specific risk factors such as older age, immunosuppression or chronic heart/kidney disease.
A University of Cambridge team led by Professor Mihaela van der Schaar and intensive care consultant Dr Ari Ercole of the Cambridge Centre for AI in Medicine (CCAIM) is calling for urgent research into the striking differences in COVID-19 deaths they have discovered between the intensive care units of NHS trusts across England.
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