Algorithm Finds Thousands of Unknown Drug Interaction Side Effects
ananyo writes "An algorithm designed by U.S. scientists to trawl through a plethora of drug interactions has yielded thousands of previously unknown side effects caused by taking drugs in combination (abstract). The work provides a way to sort through the hundreds of thousands of 'adverse events' reported to the U.S. Food and Drug Administration each year. The researchers developed an algorithm that would match data from each drug-exposed patient to a nonexposed control patient with the same condition. The approach automatically corrected for several known sources of bias, including those linked to gender, age and disease. The team then used this method to compile a database of 1,332 drugs and possible side effects that were not listed on the labels for those drugs. The algorithm came up with an average of 329 previously unknown adverse events for each drug — far surpassing the average of 69 side effects listed on most drug labels."
given that prescription drug ads are mostly disclaimers and side effects.. and often very severe ones at that.
What kind of statistical analysis methods they use in these studies? For example we use a lot of Likelihood functions, BDT, and neural networks to get the maximum number of information out of our data. Do they use these kind of methods in there analysis ? ps, my field is astrophysics and astroparticles.
Does this mean those commercials on TV for prescription drugs will now take up an entire commercial break just reading the side effects? With some of the potential side effects being far worse than the condition that the drug intends to treat, it's going to be pretty intimidating for anyone who might have been interested in trying the newest drugs. It may help if the risk were quantified, but with frivolous lawsuits running rampant these days, the drug company legal team probably can't let them skip over the rarer ones for fear of getting sued.
Hopefully Gamemaker. If they are true professionals, they'd be using Gamemaker to accomplish all of their tasks.
Say! Are there any new prescription drugs out there that I'm not taking, but should be? Those seem pretty safe.
Perhaps they'll soon come out with glossy color catalogs for the new ones each season. They'll be full of loads of bikini-clad women draped over cars, popping pills.
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I am a statistician.
I've only done a light skim of the paper, but it seems to me that the OP (but not the paper itself) is being way too positive here. Their methodology seems to be very vulnerable to false positives - with a massive database of drugs and potential adverse effects, you'd expect a *lot* of apparent side effects occuring solely by chance. For example:
"We constructed a database of 438,801 off-label side effects for 1332 drugs and 10,097 adverse events."
Supposing you are doing a hypothesis test at the standard 0.05 significance level, for each of the 1332*10097 drug-side effect combinations. Then, with naive assumptions, on a null hypothesis, you'd be picking up an average of 666k+ 'side effects' anyway, purely by chance. With the drug interactions case, this multiple testing problem gets even worse.
Now, there are ways to correct for multiple testing, but for things as large and complicated as this problem, I'm not sure the standard methods are going to cut it. At best, this study should be considered more a *filter* on the set of potential side effects, than really an enumeration of effects that are actually there. This is ignoring other issues like the placebo effect.
I definitely see this type of data mining as a useful tool, but to what degree of surety are they that the adverse effects are caused by the drugs in question? What percentage of people taking the drugs in question have to exhibit the effect before they consider it a product of drug interaction? It appears that they consider even one occurrence of the effect that does not appear in someone with the same condition not taking the drug to be an effect of the drug. If that is true, that would reduce the usability of this analysis. However, even with that flaw, this is a very valuable study. My stepfather struggled with a respiratory problem this winter that was caused by one of the medications he was on. His doctor never admitted that the medication was the problem, but it only started to clear up after he was taken off of it and that only happened when my mom insisted. She had found information that said the drug sometimes resulted in the respiratory problem he was experiencing.
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They're going to need bigger boxes.
All drugs have side-effects. In some those side-effects can be serious and even deadly, but it's pretty unpredictable what the side-effects will be and/or their severity in a particular patient, let alone one that takes other drugs. In others, the side-effects will never appear.
For instance, I'm one of those annoying people who doesn't take drugs unless absolutely necessary - not because I distrust the medical establishment (because I don't) but because if I don't need a drug, I won't take it - and even then, I never experience side-effects or, if I'm honest, much of the drug's effect anyway).
About the only thing I "take" is caffeine, and that only in drinks that happen to contain it - I don't deliberately seek it out or have a drink BECAUSE I need caffeine or because it's caffeinated (i.e. I've never said "Oh, I need a coffee" or had one to "perk me up").
People keep telling me to take headache tablets, cold/flu "remedies", painkillers, etc. etc. etc. and I avoid them like the plague. The people who use them use them CONSTANTLY and still get headaches, flu and pain worse than I ever have. If you have a pack of pills in your bag "just in case" of headache, cold, etc. then you should be made to throw them away - they are purely placebo. In any group of people, you'll find one who has pills for things like that. I *will* give you migraine relief, but that's a different thing entirely.
When I have had surgical work, I take the antibiotics and never get the painkillers. I don't see the point in them if I'm not hurting, but the antibiotics might *actually* be doing something (but I doubt it very much, to be honest).
But, literally ANYTHING I pop into my mouth that I haven't had before could kill me the instant it touches my stomach. You have no way to know. The question is now, and has only ever been, does the risk of the thing that the drug "fixes" overcome the risk of the drug itself? Hell, even paracetamol comes with a huge list of very-dangerous effects it can produce in some people. You can't read them all or not expect them to happen.
All this does is help doctors avoid risk-factors. Maybe they might spot a slightly increased risk that one drug has over a nearly-identical drug. But you're really playing tiny odds anyway. Any serious interactions that weren't down to just plain intolerance of the drug anyway have almost certainly already been found. That's why you do large-scale, long-term medical trials. Any new side-effects discovered will just go into a list of "possibles" but eventually every drug will list every side-effect as a "possible" effect, it's just a question of time and sufficient numbers.
Unless there is a known, dangerous interaction (in which case your doctor won't prescribe them to you simultaneously), nothing has changed, and you cannot begin to second-guess the drug itself. Hell, some people still only find out they are allergic to something in their 40's when they first try it. You can't account for that, and the majority of drug side-effects are minor and rare.
Look for them, by all means, but you might as well just write "There is always a risk of side-effects with any medication" on everything and have done with it, unless you know about a particularly dangerous interaction. Listing them only helps medical databases, not the average guy.
I'd like to plug my list of meds in and find out WTF might be going on that my Dr.s are clueless to.
So there is a short list of drugs a person is taking, medium list of person's medical conditions, and a long list of drug interaction side effects. All a person needs to do is to prioritize that interaction list according to severity: from "will kill you" at the top down to "skin reddening" or "facial swelling" at the bottom, and pick the least damaging drugs. This calls for a smartphone app.
So the algorithm found 329 adverse effects which were not known previously. Has someone spent the time in checking the validity of the algorithm by doing studies to check these claims? If not, this is mostly paranoia.
This algorithm may be able to idenify sideeffects when combining medicines.
However, sideeffects are by definition only negative. Once "results" rather than side effects are put through the same algorithm, we may be able to identify better and cheaper ways to combat disease. And we may even be able to find cures for known diseases with combinations of drugs that have never been tested before.
It's all about the data.
--- To err is human... Am I more human than most ?
OMG. I really do hope medicine outgrows its infancy during my lifetime.
A nice song from Consumers Union about drug side effects to enrich your day.
http://youtu.be/mYodDH4qZQo
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Good points. I wish I had a moderator point left to give you. While this study's results should be taken with a grain of salt it's an innovative idea of how to better quantify side effects and better information for consumers.
Ive had some pretty nasty side effects from a drug that weren't on the label. It really sucked. I'm still dealing with them.
Let me tell you that if you goto a doctor and say that you think that side effects are related to the drug he put you on and those side effects aren't yet on the label they will treat you like you are crazy. It was really eye openning to see how doctors can talk down to patients. The drug I was taking for example can cause tendons to snap. That was known. The doctor flat out didn't believe that incrediblely painful tendinitis could be related to taking the drug.
It really sucks. I got lucky though because a month later the FDA released a new list of side effects that for this drug that included my ones. Then I got a doctor to pay attention and help me out.
I knew the side effects were related to the drug thanks to a quick google search that showed thousands of other people had experienced the same things that I had. There were literally 100,000 posts in a forum discussing what I had experienced in the previous weeks.
I can't even imagine the complexity when combining two drugs and what havoc that could cause.
I have a bridge I want to sell you.
That doctors will now have to consult a computer program before giving an Rx.... ABOUT DARN TIME.
I'd like to have a go at the database myself. Is it included in the article (which I don't have access to)? (It should be, IMHO, because how do you otherwise replicate their results?) Can it be found elsewhere?
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To be more precise it's directed at the interaction between drugs. So by itself, this study doesn't have any impact on a singular drug
But it's not science yet. The more important findings need to be verified in controlled experiments.
I think it goes without saying that we should all live as clean and natural as possible. I'm not saying we shouldn't use drugs to improve our health, to fight disease or to manage pain and discomfort. We should. It's very useful to do so. But I am saying we should actively seek to AVOID using drugs and to seek out the most healthy foods and to live the most healthy lifestyles available to us.
But you know what? I'm fat. I'm definitely overweight. I have been better than I am today but I ate too much of the wrong stuff for too long. I ride my bicycle a lot ... or I did until it got too cold and the mornings too dark. (damned DST... I was starting to ride in again but they shifted it an hour so I ride the bus in with the bike on front and ride home.) Anyway, excuses, excuses... I've got a million of them, but it doesn't stop the results which I have to face and deal with. 'Reality' doesn't accept excuses or offer exceptions.
So I'm not pointing fingers at anyone but if you think I am, then I'm pointing a finger at myself too. I know I should do better and I plan to. I'm back my my bike again riding home from work (freaking 5 miles of up-hill the whole way, with my clothes, laptop, shoes, water and a few tools adding about 35 to 40 lbs of weight on top of my 190+lbs and my mountain bike fitted with big side-bags and that's no joke!) and it's helping... my strength returning, the bounce in my step, my general feeling of lightness and I think there's a slight lowering of my blood pressure too though I think that has more to do with my dietary adjustments than added exercise.
Anyway, I think we should all seek to prevent rather than try to medicate after the fact.
Yes, let's bury the signal under even more noise.
Seven puppies were harmed during the making of this post.
a *lot* longer. Maybe, we can just turn them into the whole darn show. I see sitcoms developing around viagra. (Stay tuned for "What's up, Doc?!)
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Forty-two.
Just kidding. There is no single percentage. You need to know what percentage of people with the same disorders would exhibit that particular symptom while taking one or zero of those drugs, and compare the various percentages using a T-test or similar.
The minimum statistically significant difference in those percentages further depends on the sample size, and whether you report it or not depends on the margin of error you're willing to tolerate. If you're willing to tolerate a 20% probability that the adverse reaction was due to chance, you're going to get a lot more "hits" than if you are only willing to tolerate a 1% false hit rate. This is particularly problematic if your sample size is small, which when a large number of genetic factors are factored in, it almost always will be.
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this story is total and utter bullshit. not a single side effect was backed up by a scientific test. this is essentially a shitton of hypotheses with no scientific testing. shouldn't be published in a journal at all, except maybe a really shitty one. but great job promoting the shit out of your research, russ.
Time to invest in stocks that manufacture pill bottle labels.
Doctors and nurses are still resisting checklists! SIMPLE CHECKLISTS!!? a proven method to drastically cut down errors to which there is no decent counter argument but here we are STILL - no checklists.
You think the human ego will not drastically hold back progress more than the other humans contribute towards progress? I don't.
Health for profit is not ultimately beneficial; it could be removed and replaced with something better but the culture is so brainwashed we'll continue down in the wrong direction -- we are already to the point where patents are harming scientific progress and corporate grants to research institutions influence the work being done. (I knew a few people, they wasted a lot of time twisting words to trick people into funding their real research and doing the minimum to appease the corporatist bent interests.)
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Just so you know, Cipro has a black label now because it's known it can cause bad side effects.
Fortunately for me, the black label warnings came out BEFORE I started the drug myself. Then, when I had tendon/ligament issues, I knew to stop the drug immediately. That limited my damage to a few months of exercise disability. So far as I can tell, years later, I am not going to have any tendons snap as a side effect.
I am forever banned from taking any quinolone antibiotic ever again.
Which brings me to one of my favorite rants: we need new antibiotics which aren't so FREAKING DANGEROUS.
--Anonymous for fear of the Cipro manufacturer
Morphine cause one major tummy ache. Hope they put that in the book.
As a practicing physician I would be very interested in potential interactions. Several posts have already noted the amount of data available and how the potential challenges in distilling this down to a workable clinical setting. Also, as one post notes, side effects do not equal interactions. Some interactions are desirable (think synergistic). I can also see a problem if the list of interactions were not prioritized and categorized. So...let's stay tuned and see where technology/bioinformatics can take this idea.
"May result in increased desire for gambling or sexual activity."
I almost swore it was a joke the first time I saw the commercial, especially given that it was to treat restless leg syndrome.
Your brain is not a computer.
check the computer that has your prescription history and a drug interaction database.