Coronavirus

A 探花直播 of Cambridge team led by and intensive care consultant of the (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.

It is crucial to understand the reasons for these between-centre differences as we plan our response to similar situations in the future

Ari Ercole

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. 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鈥檚 ICU.

From the earliest days of the coronavirus pandemic, clinicians and scientists have been deciphering the risk factors that make someone with COVID-19 more likely to die. 探花直播uncovering of determinants of risk has allowed doctors to focus resources on the most vulnerable patients and has proved important in planning for the surge in demand for intensive care units created by the pandemic. It has also informed the public of which groups should take greater measures to shield or socially distance themselves. 探花直播new , published in the journal Intensive Care Medicine,听is the first to reveal the extent to which ICU-patient location is a factor.

听鈥淐OVID-19 has stretched most ICUs well beyond their normal capacity and necessitated them finding additional space, equipment and skilled staff 鈥 in an already stretched NHS 鈥 to deal with demand for highly specialist life-supporting therapies,鈥 says Dr Ercole. 鈥淚t is possible that some hospitals found this harder either because they didn鈥檛 have time to react or the necessary resources. It is crucial to understand the reasons for these between-centre differences as we plan our response to similar situations in the future: how and where to build capacity, and how to use what we have most effectively.鈥

探花直播analysis was carried out on anonymised data from the COVID-19 Hospitalisation in England Surveillance System (CHESS) dataset, supplied by Public Health England. 探花直播data were anonymised not only in terms of the patients but also in terms of the NHS trusts. 探花直播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.

探花直播researchers call for urgent 鈥渃omparative effectiveness research鈥 to get to the bottom of these marked differences between NHS trusts. Knowledge gained in this direction could inform how ICUs are optimised and improve best practice in dealing with surges in COVID-19 cases in England, and perhaps beyond.

Reference:
Zhaozhi Qian听et al. '.' Intensive Care Medicine (2020). DOI:听10.1007/s00134-020-06150-y

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