Apple Watch Identifies SARS-CoV2 Infection and Predicts Diagnosis
preprints.jmir.org
preprints.jmir.org
I really recommend the episode: https://www.pbs.org/wnet/amanpour-and-company/video/how-earl...
Here's another article on a hospital implementing the early monitoring program https://www.nny360.com/news/publicservicenews/samaritan-util....
> With the oximeter, Samaritan is asking patients to keep track of its measurements twice a day and to write the readings down. Then Home Health follows up with telehealth visits, either over the phone or via Zoom on days two and four, as well as days seven and 10.
Walk 30 feet. 170bpm for ten minutes.
Whereas presumably you had some symptoms that were ignored?
I’m guessing that OP managed to complain enough or be sick enough (but with normal O2 sats?) to get a CT.
https://www.sciencedirect.com/science/article/abs/pii/S07364...
Fun times.
Turns out I have factor 5 Leiden, I clot like crazy
https://covid19criticalcare.com/i-mask-prophylaxis-treatment...
If I stand up, take a few deep breaths, and then rest my arm on a level surface I get high 90's right away. So i don't worry about the outliers (much).
And I think the two doctors share your same gripe, expressing frustration at the CDC not taking action to recommend these steps earlier.
But seriously, a test I don't have easy access to is not an alternative. A lateral flow test has no predictive value to me because I'm never going to get one before I'm actually sick.
Do you have access to the custom Apple Watch app they used here? I don't either.
Health authorities could make either of these available to the general public -- the parent poster is making a comment about which is more valuable under the assumption of access.
You're not wrong, a test you don't have access to obviously has no predictive value for you, but right now we (the public) have access to neither, so this isn't a distinguishing factor.
Now, if you're making the argument that the Apple Watch app would be easier to distribute, then you can read the parent's criticism as "sure, but only knowing after you've potentially spread it is not very useful."
That's pretty immaterial when discussing theoretical effectiveness. Obviously, getting wide use depends upon it getting packaged up into an app listed on the app store, and some sort of awareness push.
That needs to be done once, by the app's authors. For lateral flow tests, to have similar effectiveness, that means that literally every Apple watch wearer (just to assume a similar population size) needs to get themselves a supply of tests (and keep getting new tests when they run out), and remember to perform the test every day. That is a much higher hurdle to jump than getting this app onto people's watches (assuming their study is correct and can be independently verified!). I also expect the supply of test kits is not robust enough to handle that kind of demand.
> Now, if you're making the argument that the Apple Watch app would be easier to distribute, then you can read the parent's criticism as "sure, but only knowing after you've potentially spread it is not very useful."
Reducing spread potential by 24 hours when you've perhaps been spreading it for a week already isn't exactly a game changer, but it's still useful, especially if the only thing people have to do is install an app on their watch. Expecting everyone to obtain rapid test kits and test themselves daily is in general a non-starter.
Except...it also needs FDA approval as a diagnostic, etc., which is probably easier said than done.
Obviously it's easier to distribute an app than lateral flow tests -- but the latter are much more effective too.
Clearly, we should do both, and...
> Reducing spread potential by 24 hours when you've perhaps been spreading it for a week already isn't exactly a game changer, but it's still useful, especially if the only thing people have to do is install an app on their watch. Expecting everyone to obtain rapid test kits and test themselves daily is in general a non-starter.
This totally depends on your goals. For the individual with limited outside exposure, is knowing 24h before you feel symptoms useful? Absolutely.
For a hospital or other institution (school?), who can order in bulk, and then mandate, lateral flow tests every day before work starts and observe their correct use (without having to rely on self-reported app results), the tests seem much more useful.
Yes, to make these same predictions you'd have to do some statistics as described in the paper, but no special app is required.
(And that's why this finding is interesting: they have the data available from patients before they were sick, because every new Apple Watch records this data out of the box.)
But the limitations are worth noting: you may already have infected people by the time this detects your illness. That isn't true for lateral flow tests, making the latter more useful as a preventative testing tool (again, in the absence of access differences).
However, I don't understand what you're trying to say with this claim:
> Yes, to make these same predictions you'd have to do some statistics as described in the paper, but no special app is required.
"Do some statistics" is approximately as impossible as "order lateral flow test reagents" to the general public -- a consumable version of either the process described in this paper, or the lateral flow kits mentioned earlier, needs to be produced by someone skilled here, in order for this to be useful to the general public.
https://www.bmj.com/content/372/bmj.n287
Or you can buy it online for 250$/10 tests (if you can swallow that you're being fleeced this much)
Claiming that something is useless because it doesn't cover all cases seems a little weird to me. It's a tool in the toolbox that can reduce the possibility of spread in a limited set of cases.
Using lateral flow tests requires everyone to purchase a big supply of them and use one every day. This watch-based warning just requires you to have an Apple watch and run a new app on it (which I hope they'll make publicly available), and it'll just let you know without any extra action taken. Your average Apple watch user is probably pretty likely to take the simple step of installing a new app; they're not going to buy a supply of lateral flow tests (which they probably don't even know much about or haven't even heard of) and test themselves every day.
Only if you're willing to share of course :)
> they only looked at symptomatic covid cases
Which means the study cannot be used to prove or disprove this claim:
> and misses the asymptomatic carriers
Why is there such a need to hastily dismiss any potential improvement?
Something that detects 10% of cases and is completely free (using a device people are wearing anyway) is valuable. You can be sure that some of these cases would have been missed by all the other tests, simply because not every one of these cases got any test at all.
Nothing is a one-shot-solve-all solution to Covid. If Apple watches can detect it and prompt people to go get a full test, that’s great. I’ve got an ongoing theory that a lot of the spread is by people who ignore their symptoms because ‘they have a cough but it’s not a covid cough’ or ‘they haven’t lost their smell so it can’t be covid’ so the more things that can prompt you to get a test and isolate the better.
However, having worked as a paramedic I'm wondering how you would actually measure a patient's heart rate without a watch and with no additional equipment around.
Not every patient will be on cardiac monitoring, after all.
Yes, there are those nurse watches you can attach to your shirt or white coat but in order to take a proper look at those they have to be touched as well, which kind of defeats the purpose.
to the watch-in-a-ward point: valid. But, if this technique did get to 48h+ predictive quality, and was available to wearers of smart watches outside of wards would you still have hesitancy to consider it useful?
Having first-hand experience, I can confirm that my heart rate was WAY up, and my pulse-ox was WAY down when the virus was at its worst. I used the pulse ox value to make sure I was getting in good breaths (and yes, I know there is a hefty margin of error on these consumer devices.) I use a Garmin, but the sensors are pretty much the same on Apple Watch.
It would be pretty easy for the device to tell I was sick but probably impossible to tell I had COVID-19 instead of the Flu or a bad infection or maybe pneumonia.
They haven’t tested any other devices.
This is about the Apple Watch.
Your comment is supposition. Likely correct, but not guaranteed.
No, the paper was very clear that Apple Watch was used to measure Heart Rate Variability (HRV). There is absolutely no mention of any unique advantages that Apple Watch provided in the given scenario. The study is about using the HRV data from a wearable device to identify indicators of COVID-19; it is not an endorsement or an advertisement for Apple.
Have you compared the HRV data from different devices? Have you compared the Apple HRV data and the data from other devices to a reference instrument, or confirmed that it meets some standard?
The Apple Watch is the reference instrument for this paper. It would be a scientific error to conceal that fact.
This isn’t about product endorsements, it’s about saying what laboratory equipment was used so that other scientists don’t have hidden confounds when they attempt to replicate.
Exactly. It is an instrument used to gather metrics. The study is about analyzing the metrics and not so much about the tools used to gather those metrics. Read the paper's title.
No other HRV instrument is mentioned.
Also, I recommend looking into how the scientific method works.
Generally if you don’t have a standardized instrument, you must say what instrument you used.
If they said “HRV sensors can in general detect covid”, they would be making a claim not supported by their results.
You seem desperate to not have Apple’s name associated with this paper, but it would be unscientific not to name it.
Good scientists are careful not to make generalizations they can’t support with evidence or references.
Who said anything about concealing any facts?
The title is factual and not misleading. It seems like you want it changed to remove a fact.
> Any device with continuous heart rate monitoring will do.
This is something you assert, is definitely not a conclusion of the study, and is misleading.
I got a FDI approved pulse-oximeter accidentally from Amazon(US)[1] after realizing almost every pulse-oximeters sold online where I live were making false claims[1].
[1] https://abishekmuthian.com/testing-fda-approved-pulse-oximet...
Edit: They probably also used the older model as the study was submitted in November and the Apple Watch with oximeter came out in September, and was seriously supply constrained.
However, looking at heart-rate (HR) itself will be misleading. Big swings in HR or high HR in general usually misinterpreted as having high HRV, when it's often the exact opposite. HRV is a measure of the variability of 1/(inter-beat time). So it's measuring the time-average of really small variations from a set point.
And counterintuitively, HRV is usually highest when the sympathetic (flight or fight) nervous tone and HR is lower. In those situations, the parasympathetic control dominates, and small wiggles caused by "noise on the wire" conducted directly to the heart's pacemaker via the vagus nerve increases HRV. Often times this is when HR is lower, and because higher HR or spikes in HR are often caused by increased sympathetic tone, this leads to a blunting of this "parasympathetic noise".
Source: https://journals.physiology.org/doi/full/10.1152/physiol.000...
Still have to keep another record of external factors to correlate with it, though. I've heard people finding success with a 3p monitor and the Elite HRV app as well [0].
So in theory watching your heart rate closely you should be able to see it coming?
(I tried to figure out exactly what to watch for and how to measure it, but couldn't figure it out, hopefully someone else can explain if anyone with a watch could do this)
Healthy ranges are, vaguely speaking, above 80ms, with unhealthy ranges being much lower, the idea being that when you’re sick or stressed, your heart rate control falls back to the nervous system since your brain has other things to deal with, making your heartbeat more consistent, which means lower variability. This is generally not great because you want to be able to switch up the spacing between beats on the fly for better efficiency, kind of like switching gears on a car.
All of this is to say that the measurement they’re talking about is pretty tiny and you’re unlikely to be able to measure it accurately manually.
I'm not sure what's being said here is safe or appropriate. If you're doing nothing, your heart rate variance won't likely change. There's also very little that matters about it, just normals, for you.
Every Google Search I've ever done on HRV has turned up that fact: HRV is incredibly personal and personal trends matter the most.
From my own experience, my HRV is low when I'm not doing anything - and why wouldn't it be? I'm not _doing_ anything. I have no need for sudden changes when I'm typing on a keyboard.
Further, you can be as healthy as a marathon runner and have very low HRVs.
It's not about whether you "have a need for sudden changes" or not, but whether the sympathetic or the parasympathetic nervous system has the upper hand. There are many reasons for why it could be one or the other, but they are usually roughly summarized as "physical or mental stress".
For instance, when you sit at your keyboard and respond to someone who is wrong on the Internet, that is likely to cause negative emotions and mental stress. This would increase sympathetic nervous system activity and as a result lower your HRV.
"Further, you can be as healthy as a marathon runner and have very low HRVs."
Marathon runners are not always equally healthy. They also get sick or stressed sometimes, and quite often they are under physical stress due to training a lot. That's why some of them observe HRV to get an indication of their readiness for high intensity training or competitions (e.g. Whoop, Garmin Recovery Advisor).
That means, just sitting at their keyboard their HRV could be high or low, depending e.g. on how well they recovered from a hard training run.
I'm not a doctor I've just been around this stuff more than I wish to. Frankly I wish the Apple watch was more aggressive in reporting anomalies to the user. Something as simple as "we noticed your heart rate always increases at this place and time" can make the user aware that something is wrong in their life... assuming it's not a gym.
Quantified health is going to bring about some amazing QOL improvements that we're still only beginning to understand and it is one of the areas I am most bullish about for sure.
Edit: My comment meant to recognize that while this tech doesn’t yet exist, it would be helpful as people end up in the hospital all the time for medical problems that are exacerbated by dehydration. Simply saying “drink water when you’re thirsty” is beside the point.
So far no one has succeeded in building a reliable, wearable, non-invasive hydration sensor.
https://www.dcrainmaker.com/2019/11/lvls-hydration-sensor-ri...
Hopefully HRV gets added to the AWatch soon, if it isn't already. (C'mon Apple, deliver my device!)
It is pretty cool that we can take these measurements and hopfully make data driven decisions. Hopefully in time we can use these measures to be prescritive and be guided to make better decisions.
It doesn't tell you anything about HRV in the Breathe app or that it took a new sample for you, but you'll find a new entry in the Health app if you go look right afterward.
I really hope Apple Watch SPO2 is more accurate.
The current version is not accurate enough to use as a replacement for a pulse oximeter
https://www.medpagetoday.com/blogs/skeptical-cardiologist/88...
I think Maybe a collective app simular to Strava might be a better place to get a collection of data maybe..
But I'm not sure how reliable that it would be just to track the position (possible infection radius to known area) And the heart rate variability.. Its interesting though! Certainly every little helps..