ICYMI – I did my commentary on this week’s ICNARC report yesterday, a day earlier than in recent weeks. https://t.co/2TZybdTsTW
— stuart mcdonald (@ActuaryByDay) April 19, 2020
Another week, another @ICNARC report.
When I dug through this report two weeks ago to examine whether COVID-19 patients were really “at death’s door” (see article), I didn’t expect it to become a regular weekend fixture.
They are compelling though, so let’s take a look. /1 https://t.co/BJLcSIis5L
— stuart mcdonald (@ActuaryByDay) April 18, 2020
The latest report goes to 4pm on 16 April and covers 5,578 patients. We have far more outcome data now with 1,437 patients discharged from ICU and 1,499 deaths. 2,642 patients are still receiving critical care. /3
— stuart mcdonald (@ActuaryByDay) April 18, 2020
I’ll start with some hopeful news. This chart shows us that the number of COVID-19 patients in ICU appears to have stabilised (before the lag period, which we should ignore).
It’s a different chart from the cumulative one I showed last week. Plateau is clearer in this one. /4 pic.twitter.com/4dSfaBkeK1
— stuart mcdonald (@ActuaryByDay) April 18, 2020
I can hear the shouts of “capacity constraints” already. I don’t *think* that’s what’s driving this. I’m not certain what proportion of our ICU capacity is included in this report but I believe it is high. Others may be able to correct/support me on this point. /5
— stuart mcdonald (@ActuaryByDay) April 18, 2020
Fig 4 shows the outbreak is still concentrated in certain places. Top 3 networks are all London! East & South East, Birmingham, Manchester all have high admissions too.
The variation in the lag between notification and receipt of patient data is curious. Why are some slower? /6 pic.twitter.com/kNo0exUFLN
— stuart mcdonald (@ActuaryByDay) April 18, 2020
Here is our old friend Table 1 (with headings!)
As before, 93% could live without assistance in daily activities and 93% were free of severe comorbidities. Much higher than typical viral pneumonia patients.
These ICU patients were not dying before they caught COVID-19. /7 pic.twitter.com/FOF7N5m7wT
— stuart mcdonald (@ActuaryByDay) April 18, 2020
The age and sex distribution is little changed. Much more concentration among males aged 50-80 than typical viral pneumonia. Three quarters of ICU patients are males.
Other groups underrepresented. /8 pic.twitter.com/6jiExFK2Ri
— stuart mcdonald (@ActuaryByDay) April 18, 2020
A few people have commented on both ethnicity and BMI. Both results look interesting at first, but in both cases the distribution is largely, but not entirely, explained by the age, sex and location of the patients.
For ethnicity in particular I’d still want more data. /9 pic.twitter.com/77Bem7QUHT
— stuart mcdonald (@ActuaryByDay) April 18, 2020
Below age [50], 1-in-4 dies.
Above age 80, 1-in-[3] survives.
(No-one has called me out on them, thanks, but they were bothering me). pic.twitter.com/EKviqmFnAw
— stuart mcdonald (@ActuaryByDay) April 18, 2020
Chances of survival fall as BMI increases. 👆
Females are slightly more like to survive.
Those with severe comorbidities or needing assistance with daily activities also do less well (but numbers are very small). /11
— stuart mcdonald (@ActuaryByDay) April 18, 2020
I discussed the applicability of these results to the broader hospital population last week so I won’t go back over it here.
Clearly, not all people who get sick make it to hospital. And not all hospital patients are admitted to ICU. /12
— stuart mcdonald (@ActuaryByDay) April 18, 2020
We have here a large and growing data set of people who it is clear mostly had many years ahead of them.
I’ll quote one of the intensivists who replied to me last week. /13 https://t.co/NvbRQMOh5Z
— stuart mcdonald (@ActuaryByDay) April 18, 2020
I’ll wrap things up there.
Thank you to the incredible @aroradrn for the suggestion provide these regular updates.
If you wish, you can support the intensive care community here. /14 https://t.co/dpK8NpXSbD
— stuart mcdonald (@ActuaryByDay) April 18, 2020
Thanks to Stuart McDonald for this excellent thread; I have replaced his original tweet 10 with a later tweet- necessarily this tweet explain typos that don’t appear on the thread – I know Stuart would be mortified if I republished any error – the error was tiny – and I missed it (til he pointed it out).
Thanks for posting this Henry. There are so many statistics and they may all be misleading as we do not know how many people actually have Covid-19 without reliable testing, nor do these figures show numbers with ‘viral pneumonia’ in 2020 – although the figures may be assuming everyone with Covid has viral pneumonia. I am not sure how the figures are compiled. However, what is striking is that the actual numbers in Table 1 with ‘Covid 19 and 24th data’ are much lower than the numbers shown for viral pneumonia in 2017-2019. It is not clear what is being compared with what here, what the dates are for each column or how to make any comparison. Do you know what dates and underlying data Table 1 relate to? So sorry but I don’t have the source information and tracking all this is really important.
Thank you for all your blogs.
Be well
Ros
Ros
The full report can be found here: https://www.icnarc.org/DataServices/Attachments/Download/c9b491af-ea80-ea11-9124-00505601089b
Pneumonia leading to Acute Respiratory Distress Syndrome is one mechanism through which COVID-19 kills. Hence, to assist with comparisons the ICNARC include a cohort of (non-COVID) viral pneumonia patients from 2017-19.
Don’t look at the absolute numbers. They happen to be reasonably similar this week but that’s just coincidence (they show the same cohort of 5782 cases every week). Look at the distributions (as I have done in the thread).
So average age similar, C19 patients much more likely to be male, C19 more likely to have BMI>30, etc.
Hope that helps.
Stuart
Ros – normally I’d attempt an answer, but as Stuart is very attentive . I will see if we can get a response from him!