The negative results for the phase II BC007 trial are disappointing but not surprising, given the outcome measures they used. What is an outcome measure, what was the problem with this trial's design, and what does that mean for our future advocacy?
A randomised controlled trial works as follows: we measure how well people are before treatment, and then we give one group the treatment, and another group a placebo. Then, we measure how well each group is, and we compare them.
The "outcome measure" is the measure we use to measure how well people are. So, it's extremely important to use an outcome measure that can correctly identify improvements and deteriorations in the trial participants
The BC007 trial used the FACIT-FS questionnaire as the primary outcome measure (the measure used to decide whether or not the trial was a success). Here is the FACIT-FS: (careful: bright) facit.org/_files/ugd/c0d…
As will be obvious to anyone with Long COVID, this questionnaire cannot record the kinds of improvements or worsenings that we see in the community. For instance, how would you describe someone going from moderate to severe ME using this questionnaire?
How would you describe someone whose cardiovascular problems have improved? How would you describe someone who's regained the capacity to read but whose physical function has stayed the same? Etc.
The trial also used secondary outcome measures: things they measure but that don't count as an answer to the question of whether the treatment was successful.
In a nutshell, they measured cognitive function, number of symptoms, number of hours slept, reported quality of sleep,
Distance walked in six minutes, some lab tests, and quality of life using this scale:
The lab tests are not very precisely described, which is a shame.
So far, Berlin Cures have only said that the trial was unsuccessful, and haven't released their full data. I don't know whether they will publish their results, or make their data published. (Does anyone know?)
This shows that having adequate primary and secondary outcome measures is absolutely crucial to get an accurate idea of how helpful various interventions really are. With a trial like this using FACIT-FS, we were never going to get results
Which outcome measures should trials use? That will depend partly on what the trial tries to measure. But personally, I think that any trial for Long COVID in general and for ME should use the FUNCAP (usercontent.one/wp/www.funcap.… --careful: bright)
They should use this alongside non-patient-reported outcomes such as cardiovascular events, various lab markers possibly related to the intervention (immune markers, pathogen markers, coagulation markers, etc.)
If we want institutional science to deliver a safe and effective treatment, I think we will need to get up in their business about how they design their trials, and in particular, which outcome measures they use. Otherwise we will keep getting useless results like this
This thread was brought to you by discussions with @FvRhijn, @LauradeVri90078, Xandra Westerhuis, and Jon-Ruben van Rhijn ---we have a paper on outcome measures in Long COVID clinical trials hopefully coming out soon!
CORRECTION. @FvRhijn points out that the scale used as a primary outcome measure is not the full scale I pasted above, but a sub scale containing only items about fatigue. Here is the actual primary outcome measure:
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Some thoughts on the question of how to engage with people who don’t wear masks or take COVID infection control measures, now that the discourse has long blown over and things are a bit more relaxed
🧵
The first thing to acknowledge is that COVID infections are extremely dangerous to many disabled and/or sick people. Many of us are at risk of death or severe permanent deterioration from a COVID infection. The stakes for us are literally our baselines and our survival
The second thing to acknowledge is that everyone is at risk of complications from a COVID infection, whether it be Long COVID, or new-onset illnesses like diabetes, cancer, and dementia. There is no one a COVID infection is safe for
Camilla has been talking about COVID to a childhood friend who’s a GP for several months. The GP has:
- added FFP2s and air purifiers to her waiting room and consultation room
- added a poster asking people with symptoms to mask
- started masking with her at-risk patients
🧵
- She’s read up on Long COVID and ME, and does the best she can to screen for PEM when people complain about fatigue
- She’s recommending no exercise immediately after COVID
- She’s looking into the documentation Cam sent her on meds that help (LDN, LDA, POTS meds, MCAS meds)
What she’s found is that people are bewildered when she tells them their “flu” in August is almost certainly COVID. People seem to think it simply doesn’t exist anymore. They don’t really listen to her when she says COVID is serious and to take steps not to spread it
It used to drive me up the wall when friends and family would message me saying they were doing stuff to “keep my spirit alive” without doing anything to actually keep me alive, and while joyfully participating in the pandemic that will likely cause my death
I don’t know what explains the fact that I don’t get upset anymore. Has an extra year of this hell lowered my standards so that now when someone from before remembers I exist I’m ecstatic? Have my emotions been dulled by illness? Have I become better at compartmentalising?
Does it just hurt less because I’ve come to terms with the fact that only a tiny handful of people form before actually care enough to do anything at all to help me? Have I grieved all these formerly important friendships, such that all my expectations are below ground level?
Many have tried to theorise doctors not listening to their patients as a from of 'epistemic injustice'. In my new blog post, I explain what that means, and why I'm not convinced
The basic idea of epistemic injustice is that people are harmed "in their capacity as a knower": either because they are disbelieved as a result of negative stereotypes, or because the concepts made available to them cannot allow them to articulate their experience
I argue that, with some work, this framework can be used to illuminate some of the harms that people with ME and LC incur in the clinic. But it might obscure more than it reveals, because, in the end, the greatest harm by far that patients like us incur in the clinic ...
I’m reading that the Japanese govt not only lied about the safety of the food grown around Fukushima after the nuclear accident, but actually started a scheme called Eat to Support, where eating contaminated food was framed as solidarity with the disaster victims
The people who were concerned about contamination were mostly women, because it’s mostly women who buy and prepare food. They were portrayed in the mainstream media as hysterical, as spreading harmful and unscientific rumours, and they were called “nō-mama” (radiation brain mums)
In this context, many women across the country pooled their resources to buy scintillation detectors, learnt how to operate them, and started testing food samples