108 – Role of Pharmacovigilance (S8E3)
From Concept to Medicine - A Comprehensive Drug Development Journey
This episode defines pharmacovigilance and explains its critical role in monitoring drug safety after a medication has been approved and is on the market. We delve into the core activities of pharmacovigilance, which include adverse event detection, assessment, understanding, and prevention. The conversation highlights the ongoing nature of safety monitoring, emphasizing that it doesn't end with a drug's approval.
Real-world case examples are used to illustrate how potential safety concerns are identified and managed. The discussion covers the difference between observations in clinical trials and real world environments. We discuss the interactions between different medicines, with food, and explore how they might be different depending on the individual.
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Transcript
Welcome back everyone to the deep dive. Today we're gonna be digging into something that I think we can all agree is pretty important. Absolutely. Something that impacts all of our lives when we need it most. Definitely impacts all of our lives. When we're sick or when we need some help, you know. medications, the drugs we take, the things that help us feel better. And hopefully, they do help us feel better. Exactly. And that's what today is all about. It's about how we can trust that those medications are actually gonna do what they're supposed to do. And that's where this whole field of pharmacovigilance comes in. Yeah, that's a great way to put it. Pharmacovigilance is all about ensuring that the medicines that we all rely on are safe and effective. You know, when you go to the pharmacy and you pick up a prescription, you want to be confident that that medicine is going to help you and not cause any unexpected problems. And that's what pharmacovigilance is all about. So today we're going to do a deep dive into this whole world of pharmacovigilance. We've got a ton of interesting stuff to go through. We've got everything from the official rule books, the actual code of federal regulations, Title 21. That's the one that covers food and drugs. Right. So we'll be taking a look at that. We've also got some really fascinating scientific articles that go deep into how drugs are developed and all the latest research on pharmacovigilance. So by the end of this deep dive, we want to make sure you've got a crystal clear picture of what pharmacovigilance really is, why it's so crucial, especially after a drug has already gotten approved. Right. You know, it's already out there in the world. People are taking it. Why is it still so important to keep an eye on it? Yeah. And then, of course, we'll get into the nitty gritty of how potential safety concerns are spotted and how they're managed. And, of course, to really bring it to life, we'll even delve into some real world examples. Absolutely. So let's start right at the beginning. Let's get back to basics. OK. In the simplest terms possible. What exactly is pharmacovigilance? Okay, so pharmacovigilance You can think of it as this ongoing safety net for all the medications that are out there being used Okay, it's really about keeping a watchful eye on those drugs and making sure they're still doing what they're supposed to be doing and they're not causing any unexpected harm I like that a safety net. Yeah, so it's like Even after a drug gets approved, the safety checks don't just stop, right? No, absolutely not. It's like a continuous process. Exactly. So can you break down for us the core activities involved in pharmacovigilance? What does it actually look like in practice? Sure. So at its heart, pharmacovigilance boils down to four key actions. You've got detection. That's basically spotting any potential problems. OK. You know, red flags that might pop up with medication. Then there's assessment. This is where you really dig in and figure out how serious the problem is. Got it. Is it a minor side effect or is it something more concerning? Then you've got understanding. Okay. So this is about getting to the bottom of why this problem might be happening in the first place. Right. And then finally, and perhaps most importantly, you've got prevention. Prevention. That's key. Exactly. Because we want to stop these things from happening in the first place. Right. Or if they do happen, we want to limit the damage as much as possible. Exactly. And it's all about making sure that, you know, at the end of the day, the benefits of the medicine are outweighing any potential harm. So we've talked about how pharmacovigilance kicks in after a drug is approved. Can you elaborate on why this post -perpoval monitoring is so essential? Yeah, this is a crucial point. So you're right, clinical trials, they are definitely a critical part of drug development. You have to see if the drug actually works and if it's safe enough to use in people. Right. That's the whole point of clinical trials. Exactly. But the thing is, clinical trials do have limitations. For one thing, you're testing on a limited number of people. And these trials usually only last for a certain amount of time. Makes sense. So there's always a chance that some side effects, especially the really rare ones or the ones that take a while to show up, they might slip through the cracks. They might not become apparent until the drug is out there being used by a much larger and more diverse group of people. That's a really good point. It's like, when you think about it, once a drug is approved, it's kind of like it's entering this massive real -world clinical trial. Exactly. You know, it's being used by potentially millions of people with all sorts of different health conditions. They might be taking other medications. They might have different lifestyles, different diets. And all of these factors can influence how a drug behaves in their body. So it's really about understanding how a drug works in the complexity of the real world, right? Exactly. Because in clinical trials, you're trying to control as many variables as possible. OK. But in the real world, it's just impossible to control for everything. So you mentioned other medications, right, that people might be taking. Right. And this brings us to a really crucial topic, which is drug. drug interactions, or as you mentioned, DDIs. Yeah, DDIs. So can you explain to our listeners, just to recap, what a DDI actually is? Sure. So a DDI is basically when one drug can change how another drug works in your body. It can either make the other drug more or less effective, or it can increase the risk of side effects. And this can happen in a lot of different ways, right? It can. There are so many different ways that drugs can interact with each other. It's kind of amazing that we're able to manage them all. But some drugs can block certain enzymes in your body that are responsible for breaking down other drugs. And this can lead to higher levels of those other drugs in your system, which can be dangerous. So are there any specific examples of drugs that can cause these types of interactions? Yeah, there are quite a few. Some common culprits include ketoconazole, which is an anti -fungal medication, ritonavir, which is used to treat HIV, and aminoderone, which is a heart rhythm medication. Got it. These are just a few examples. But all of these drugs, they can inhibit, they can block those crucial enzymes that play a role in metabolizing other medications. And as Wang discusses in drug... drug interactions and pharmaceutical development, you know, this inhibition can really throw things off. And what about the opposite? Are there drugs that can speed up the breakdown of other drugs? Yes, absolutely. That can be just as problematic, right? If a drug gets broken down too quickly, it might not have a chance to do its job. And a good example of this is a drug called carbamazepine, which is used to treat seizures. Carbamazepine can induce certain enzymes, kind of give them a boost. And this can cause other medications to be broken down much faster than they normally would. So if someone's taking carbamazepine and another medication that relies on these enzymes to work properly, that other medication might not be as effective, right? Exactly. And that can be a real problem if that other medication is essential for their health. And these CYP enzymes, especially the CYP3A4, is like a major player in metabolizing a ton of different medications. So when you have something like carbamazepine inducing that enzyme, it can affect a lot of different drugs. And that's just one example. And it's not just other medications that can complicate the picture, right? Right. We also have to consider things like food and diet. Absolutely. And this is another thing that often gets overlooked in clinical trials, because in a clinical trial, they're trying to control everything. Right. Keep it all very standardized. Exactly. But in the real world, people are eating all sorts of different things. Right. And some foods can actually interact with medications. They can either increase or decrease absorption. They can affect how the drug is broken down. So for our listeners out there, if you're ever unsure about whether a certain food might interact with your medication, it's always best to check with your doctor. or your pharmacist, right? Exactly. And give you the best advice for your specific situation. Absolutely. It's not worth taking the risk. And as Marissa Anapal and their team highlighted in the study, effects of food on drug absorption, food can really have a significant impact on how your body takes in a medication. They pointed out that some drugs are actually much better absorbed on an empty stomach, while others need to be taken with food to work properly. Got it. So it really depends on the specific drug. But the point is that these are the kind of details that often only become clear once a drug is out in the real world and being used in all sorts of different contexts. So we've talked a lot about all these complexities and challenges with post -approval drug monitoring. With all these factors at play, how would you sum up the main mission, the ultimate goal of pharmacovigilance? The core mission of pharmacovigilance is really all about balancing the benefits and the risks of every single medication that's out there on the market. It's about constantly asking ourselves, does the good that this drug does, does it still outweigh any potential harm it might cause? And that balance can shift over time, right? It can. As we learn more about a drug. Exactly. New information can come to light. New risks can emerge. And that's why pharmacovigilance is so important. It's about continually evaluating that balance and making sure that we're doing everything we can to minimize risks and keep patients safe. So that's the ultimate goal. Minimize risks, keep patients safe. Exactly. So how does pharmacovigilance actually work in practice? How do we spot these potential problems, these adverse events. We talked about all these people taking drugs in all sorts of different ways out there in the real world. Is there some sort of magic system that flags every single problem? Well, if only there was a magic system. But unfortunately, it's not quite that simple. But we do have a pretty robust system in place. And one of the most important components of that system is what we call spontaneous reporting. Spontaneous reporting. So what exactly does that mean? So spontaneous reporting is basically when health care professionals like doctors, pharmacists, nurses, even patients themselves can report any suspected side effects or any other problems that they've experienced after taking a medication. OK, so if I, as a patient, notice something unusual after taking a new medication, I can actually report that to the authorities. Yes, absolutely. And they'll take that information seriously. They do. And in fact, it's really important for patients to do that because, you know, you're the one experiencing these effects firsthand. Right. You're the one who knows your own body best. So if something feels off, don't hesitate to report it. So who do we report this to? So you can report it directly to the FDA, the Food and Drug Administration. You can also report it to the drug manufacturer. They have their own systems for collecting these reports. So those are the two main avenues. And the FDA, they have a whole system for collecting and analyzing these reports. They do. What happens to that information? So they have a huge database where they collect all of these reports. And they have teams of scientists who are constantly analyzing that data, looking for patterns, looking for signals that might indicate that there's a problem with a particular drug. OK. So that's spontaneous reporting. Right. But it's not the only way that potential safety issues are detected, right? No, absolutely not. There are other ways. In addition to spontaneous reporting, we also have post -marketing surveillance studies. Post -marketing surveillance studies. So what are those? So these are studies that are conducted by pharmaceutical companies after a drug has already been approved and it's on the market. Got it. And the goal of these studies is to proactively look for specific safety signals in larger groups of patients. They might be looking at a specific side effect or they might be looking at how the drug is being used in different populations. OK. And this can give us a lot more information than we could ever get from just spontaneous reports. So it's like a more targeted approach to safety monitoring. Exactly. And then, of course, we also have all of the electronic health records and other real world data sources that are becoming increasingly valuable for pharmacovigilance. OK. How does that work? So with electronic health records, we can now analyze huge amounts of data on how drugs are being used in the real world. We can look at things like prescribing patterns. OK. We can look at patient outcomes. We can see if there are any correlations between certain drugs and certain adverse events. And this can give us a much more comprehensive picture of a drug's safety profile than we could ever get from just looking at individual reports. So it's like using big data to identify potential safety problems. Exactly. And then let's not forget about the scientific literature. Right. You know, scientists are constantly publishing new research on drugs. Yes. And sometimes those studies will uncover new safety information that wasn't previously known. And sometimes we'll even see case reverence published where a doctor has observed a rare adverse event in a patient. And while one case report might not be enough to raise a major alarm, if you start seeing multiple case reports describing the same problem, then that can definitely trigger further investigation. So it's like all of these different pieces of information coming together to build a more complete picture. of a drug safety. Exactly. It's really a multi -pronged approach to pharmacovigilance. It sounds incredibly comprehensive. And it highlights just how important it is to have clear and accurate reporting of all of these adverse events, right? Oh, absolutely. Accurate and detailed reporting is the foundation of everything we do in pharmacovigilance. And I think it's worth mentioning here. You know, we were talking about CFR Title 21. Right, the Code of Federal Regulation. Right. So specifically, Section 203 touches on an interesting point. OK. It's primarily about drug advertising, but it underscores a really crucial aspect of pharmacovigilance. OK. So this section, it focuses on what can be said in drug advertising about approved uses. Right, so you can't just make wild claims about what a drug can do. Exactly. It has to be based on scientific evidence, right? Right. And approved by the FDA. Right. So how does that relate to pharmacovigilance? So while the regulation itself is about advertising, the implication is that we're focusing our monitoring on the adverse events that are associated with those labeled uses. OK, so we're not really looking at what happens when people use a drug off label. Right. We're primarily concerned with what happens when the drug is used as intended. And that's why it's so important for health care professionals to be aware of those labeled uses. Because that's what they should be prescribing the drug for. Exactly. And that's what patients should be taking the drug for. Because if you start using a drug off label, then you're basically going outside the bounds of what's been studied and what's been deemed safe and effective. So that's an important distinction. We're really focused on ensuring the safety of drugs when they're used for their approved indications. Exactly. And this whole idea of reporting and investigating adverse events, it often triggers a process called KPA. PPA. What's that? So KPA stands for Corrective and Preventive Actions. And as Rodriguez Perez discusses in KPA for the FDA regulated industry, this process is really about taking a comprehensive approach to addressing safety issues. OK. So it's not just about fixing the immediate problem. It's about putting measures in place to prevent it from happening again. So let's say a serious adverse event is reported, the FDA investigates, and they find that there's a problem with the manufacturing process. They'll take steps to correct that problem, but they'll also implement new procedures to prevent that problem from happening again in the future. Exactly. So CAPA is really a critical part of the overall pharmacovigilance system. Let's say a potential safety issue has been detected. OK. You know, whether it's through spontaneous reporting or one of these other methods we talked about. Right. What happens next? So once a potential safety issue is detected, it triggers a thorough assessment. OK. We need to figure out, you know, is this a real problem? How serious is it? And what can we do about it? And this assessment usually involves several steps. First, we look at how often the adverse event is happening. OK. Is it a one -off event or is it something that's being reported multiple times? Right. Then we look at how serious the event is. Is it a mild side effect or is it something that's life -threatening? Got it. And then we have to assess the evidence linking the event to the drug. So is it really the drug that's causing this problem or could it be something else? Exactly. Because you have to remember, just because someone takes a drug and then experiences an adverse event doesn't necessarily mean that the drug caused the event. Right. There could be other factors involved. So you have to tease that out. Exactly. How do you do that? So there are a lot of different methods that scientists use to assess causality. But ultimately, it comes down to weighing all of the evidence and using our best judgment to determine whether the drug is likely to be the culprit. OK. So we've looked at how often the event is happening, how serious it is, and whether it's really linked to the drug. What happens next? So once we've got a pretty good understanding of the potential safety issue, the next step is to conduct a risk benefit analysis. Risk -benefit analysis. Yes. So that's about weighing the risks of the drug against the benefits. Right. Exactly. And this is where things can get really tricky, because sometimes a drug can have serious risks. But if it's the only effective treatment for a life -threatening condition, then those risks might be considered acceptable. So it's not always a black and white decision. No, it rarely is. It's often a matter of judgment. Right. And it's a decision that has to be made on a case -by -case basis. Who makes that decision? Well, ultimately, it's the regulatory agencies like the FDA who make the final decision about whether a drug stays on the market. Okay. But they rely heavily on the input of scientists and healthcare professionals to inform their decision. So what are some of the actions that can be taken to manage the risks of a drug? once a potential safety issue has been identified. Well, there are a range of different actions that can be taken. And again, the specific action will depend on the specific drug and the specific safety issue. But some common actions include things like changing the drug's label. OK, so updating the information that comes with the drug. Exactly. So, for example, they might add a new warning to the label or they might add a contraindication. Contraindication? What's that? A contraindication is basically a statement that says that this drug should not be used in people with a certain condition. Okay, so it's like a hard stop. You shouldn't take this drug if you have this condition. Exactly. And that's usually based on some pretty strong evidence that the drug could be dangerous for people with that condition. So updating the label is one option. What else can be done? They might also make dosage adjustments. OK. So for example, they might lower the dose of the drug for older adults or for people with certain health conditions because those groups might be more sensitive to the drug's effects. And those changes are reflected on the label as well, right? Exactly. So doctors and patients know what the appropriate dose is. Exactly. Another thing they might do is restrict who can prescribe or dispense the drugs. Okay, so limiting access to the drug. Right. And that's usually done for drugs that have a high potential for abuse or misuse. Right. Okay. And then in some cases, they might even require what's called a REMS. A REMS. What's that stand for? So REMS stands for risk evaluation and mitigation strategy. Risk evaluation and mitigation strategy. Exactly. So it's basically a plan to minimize the risks of a particular drug. Exactly. And who develops the REMS? So the REMS is developed by the drug manufacturer, and it has to be approved by the FDA. OK. And it outlines all of the steps that will be taken to ensure that the drug is used safely. So what kind of things might be included in a REMS? Well, it could include things like special training for prescribers. OK. It could include patient education materials. OK. It could include requirements for monitoring patients who are taking the drug. So it's really a comprehensive plan to ensure that the drug is used as safely as possible. Exactly. And then, of course, in the most extreme cases, the FDA can also withdraw a drug from the market altogether. And so that's the nuclear option. It is. And that only happens in very rare cases, right? It does. But it does happen. And it usually happens when the risks of the drug are deemed to outweigh the benefits. So even after a drug has been approved, it's still possible for it to be removed from the market if serious safety concerns emerge. Exactly. Because at the end of the day, patient safety is the top priority. And that's really what pharmacovigilance is all about. And the FDA, they play a really central role in all of this, right? They do. They're the ones who are ultimately responsible for ensuring that drugs are safe and effective. And they have a whole arsenal of tools at their disposal to manage the risks of drugs. They do. And as we've seen from our deep dive into CFR Title 21, they have a lot of regulations and guidance documents that lay out the framework for pharmacovigilance. So let's talk about some real world examples of how pharmacovigilance works in practice. You mentioned that we could draw some insights from OPRND literature. Yes, absolutely. What kind of examples can we glean from that? OK, so while we can't disclose any specific patient information or proprietary data, we can definitely talk about the types of issues that often come up in pharmacovigilance and how they're addressed. And a lot of these issues are actually discussed in publications from the FDA's Office of Pharmaceutical Quality Operations, OPRO, and other related literature. So we can definitely draw some insights from those sources. OK, that's perfect. So let's get into some of these real world inspired examples. OK. What's the first scenario? So imagine a new drug. that's been approved, it's on the market, and everything seemed fine in the clinical trials. But then, as more and more people start taking the drug... Doctors start noticing an unexpected increase in a particular side effect. And it turns out that this side effect seems to be happening more often in patients who are also taking a certain older medication. So it sounds like a drug interaction. Exactly. And it's one that wasn't detected in the clinical trials because maybe none of the patients in the trials happened to be taking that other medication. OK, that makes sense. So. In this case, the pharmacovigilance system would pick up on this pattern of reports, right? Right. Because doctors are reporting these adverse events. And then scientists would investigate the potential link between the two drugs. And if they find that there's a strong enough link, then the FDA might decide to take action. They might update the label of one or both drugs to warn about the interaction. So that doctors know to be careful about prescribing those two drugs together. Exactly. Or they might recommend specific doses adjustments if the two drugs have to be used together. Got it. So that's a pretty clear example of how pharmacovigilance can identify drug interactions that weren't apparent in the more controlled setting of a clinical trial. Right. What's another example? Another scenario is when a very rare but serious adverse event is identified after a drug has been on the market for a while. OK. So this might be something that didn't show up in the clinical trials because, again, the trials are limited in terms of the number of patients and the duration. Right. So it's only after the drug has been used in a much larger population for a longer period of time that these really rare events start to emerge. So these are events that might only affect, say, one in 10 ,000 people. Exactly. Exactly, something like that. Okay. So let's say that this rare event is a specific type of heart problem. Okay. And it only happens in a very small percentage of people who take the drug. Okay. But it's a serious heart problem. Okay. It can be life threatening. So how would pharmacovigilance detect something like that? So as more and more people take the drug, you'll start to see those spontaneous reports coming in. Right. Doctors will report these heart problems to the FDA. And at first, it might just seem like random events. Right, just background noise. Exactly. Nothing to worry about. But as the reports accumulate, the FDA's scientists will start to see a pattern. OK. And they'll start to suspect that there might be a link. between the drug and this heart problem. And they'll investigate that link. Exactly. What kind of investigation would they do? So they'll look at all of the data that they've collected on the drug. They'll look at the spontaneous reports. They'll look at any post -marketing surveillance studies that have been done. They'll look at any data from electronic health records. OK. And they'll try to piece together all of the evidence to see if there's a strong enough link to warrant taking action. And they might even conduct their own studies to investigate the link further. And if they find that there is a link, what kind of actions could they take? So they could do a number of things. OK. They could update the drugs label to warn about the risk of this heart problem. OK. They could restrict the use of the drug to certain patients who are less likely to experience the side effect. OK. Or in the most extreme cases, they could withdraw the drug from the market altogether if the risks are deemed to be too high. So that's how pharmacovigilance can pick up on really rare events that might not have been detected in the initial clinical trials. Exactly. And it's really important because these rare events can be very serious. Right. They might not happen very often. Right. But when they do happen, they can have a devastating impact. Exactly. OK. So another common situation is when an adverse event turns out to be more prevalent or more severe in specific groups of patients. Okay, so this is about how individuals can respond differently to the same drug. Exactly. So for example, a particular side effect might be more common or more severe in older adults than in younger adults. Okay. Or it might be more common in people with certain genetic variations or in people with certain pre -existing health conditions. And these differences might not have been apparent in the clinical trials. Right, because the trials might not have included enough people from these specific subgroups to detect these differences. Got it. But once the drug is out in the real world and being used by a much more diverse population, these differences start to emerge.