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February 22nd, 2022

Podcast 283: More data — this time from the U.K. — about post-Covid vaccination

You want more evidence that post-recovery vaccination against Covid-19 reinfection helps? Here is a careful study from the U.K. that followed some 35,000 health care workers — initially without symptoms — in over 100 institutions there. Starting in June 2020 the SIREN study tested these people regularly, with blood sampling every month and nasal swabs every 2 weeks during the period when the Delta variant was the greatest threat. Almost a third of the group, although asymptomatic, showed seropositivity by the time the vaccine was introduced to the U.K. in December 2020.

Dr. Susan Hopkins, the senior author of the paper just published in the New England Journal of Medicine, explains SIREN’s results. The short version is that the vaccine was effective — up to 85% after the first dose — and its protection waned to about 50% some 6 months after a second dose. Among those who were seropositive before the arrival of the vaccine, vaccination showed a remarkable 90% effectiveness after the first dose, and that effectiveness remained high more than 18 months after their earlier infection.

New England Journal of Medicine study

[Running time: 11 minutes]

Transcript of the interview

February 17th, 2022

Podcast 282: Vaccination after Covid-19 recovery prolongs natural immunity to reinfection

Governments’ directives about how and when to vaccinate people who’ve recovered from Covid-19 vary widely. But, according to this episode’s guest, Dr. Ronen Arbel, they all say they don’t have enough evidence to set firm policy. So, Arbel and his colleagues set out to collect evidence from some 150,000 patients’ records in Israel who’d recovered from the earliest waves of the pandemic.

About half the patients subsequently received at least one shot of the Pfizer-BioNTech vaccine, and all were followed over a period of some 9 months. Arbel’s group, using the patients’ health records, tracked how many became reinfected with Covid-19 — during that interval, the Delta variant was predominant. They found that reinfection was roughly fourfold higher among the unvaccinated; they also observed less benefit among patients aged 65 and older; in addition, the results from one or two shots were statistically the same.

Listen in to what this means for practicing clinicians.

[Running time: 15 minutes]

New England Journal of Medicine

TRANSCRIPT OF THE INTERVIEW 

Joe Elia: 

We have all heard people say that they have had COVID-19 and as a result are immune, but would vaccination boost that naturally acquired resistance?

You’re listening to Clinical Conversations from the NEJM Group. I’m Joe Elia, and I’m joined by my co-host Doctor Ali Raja who is in the department of emergency medicine at Mass. General Hospital and a professor of emergency medicine at Harvard Medical School.

We’re about to interview Doctor Ronen Arbel on Zoom from Israel. His paper on the effectiveness of the Pfizer BNT vaccine among the recovered has just been published in the New England Journal of Medicine. Doctor Arbel does health outcomes research at Clalit Health Services and lectures on health systems management at the Ben-Gurion University of the Negev. Welcome Doctor Arbel.

Dr. Ronen Arbel:

Thank you for having me. It’s a great honor.

Dr. Ali Raja:

Thank you, Doctor Arbel. First of all, could you please for our listeners describe briefly the problem that you and the team investigated?

Dr. Ronen Arbel:

Okay. So, if you look around the U.S. CDC, European CDC, or the UK, each one has a different policy regarding when and how should I vaccinate the recovered subjects or patients for COVID-19, and they all say we don’t have any evidence. If we start with the…I think the most extreme is the United States. CDC said “We don’t have any evidence, so let’s ignore. We are ignoring your infection-induced immunity and you’re going to get vaccinated.”

Like all the others, the EU and other countries than the U.S. have other policies. The UK has a different policy. Israel has a different policy, and they all said “We don’t have evidence.” The only evidence actually that we found when we looked at this was a 600-patient study from Kentucky, which is probably not enough for significant evidence for the world. So, we thought this was a very important clinical issue. We always look what is the clinical question.

I’m a physician. I have a patient who recovered. Should we vaccinate? What would be the benefits? Of course, are there any safety issues? And that was the question. We had no clue what is the answer.

Dr. Ali Raja:

That makes perfect sense. And you mentioned the smaller study from Kentucky. It looks like you did this by reviewing the medical records of some 150,000 people in Israel who’d recovered from COVID-19. Is that right?

Dr. Ronen Arbel:

Yeah. Actually, we looked at all the patients in our healthcare organization [Clalit met the eligibility criteria. So, that was the number. It was for nine months, not just for a couple of weeks — a couple of months was done in Kentucky.

Joe Elia:

And the Clalit organization — you used their medical records. They ensure — or care for — I should say, about half the population in Israel. Is that correct?

Dr. Ronen Arbel:

Yes. 54 percent. And about two thirds of the patients above 65.

Joe Elia:

So, briefly, what did you find? Your primary and secondary findings, what were they?

Dr. Ronen Arbel:

So, the primary finding, first of all, we saw an interaction with age, so that’s why we recorded by two age groups. Up to 65 years old, we saw about 80 percent reduction in reinfection rates and the other rate was about 60 percent reduction.

Joe Elia:

In the older group.

Dr. Ronen Arbel:

Yeah. In the older group. That’s our main findings. What is very interesting we think, it’s only secondary, but very interesting, with one shot is enough. We didn’t see any benefit, any additional protection from a second shot. It was our hypothesis by the way. It’s very interesting that you said “boost natural immunity.” That’s the way we look at it. I mean, you can see there are a lot of studies that show the infection-induced immunity is at least as good as vaccine-induced immunity.

Of course, if you survive COVID and all the problems (long COVID), then the question, if it’s similar to a primary vaccination then it’s really reasonable that one shot will act with some kind of booster, which was your first word, right? How do you boost natural infection-induced immunity?

So, this is the biology that we saw. It was a nice study and it’s very similar to our results on the second one. I think it’s important because I think Eric Topol said, “You know, why does the CDC ignore [natural immunity]?” It’s like you’re already reading over our paper.

You want your patients to get vaccinated, it has to make sense. You cannot say “Ignore it; we don’t care that you are recovered.” I mean, the science says it does matter, but still, importance of study, you have a protection from your infection-induced immunity, but you can boost it and you should boost it by a vaccination, but a single one is enough.

Joe Elia:

And this work was done mostly, maybe even exclusively, among those who recovered from the Delta variant. Is that right?

Dr. Ronen Arbel:

No. Exposure was to the Delta variant. Some of them recovered from the original, the wild type and some from alpha. Okay. After Delta, by the way, there were very little reinfections. What we see now, we saw in Delta many more reinfections and you see in Omicron really much, much more reinfections. But after Delta, the numbers were really, really small. So, I think it was a very important to see what happens with the Delta.

Dr Ali Raja:

So, given the fact this was an exposure of the Delta variant, any thoughts about what this might mean with Omicron?

Dr. Ronen Arbel:

I was sure that you’d ask. Of course, it’s a great question. We don’t have a study on that yet. It’s probably too soon, but if we look at what…if we can learn from the past (which I’m not sure in COVID, right?) you see that in beta you didn’t see any reinfections. In Delta, you saw many more reinfections. In Omicron, you see many, many more reinfections.

Hopefully, we did not check this, we need to research this. We can hypothesize, I’m not sure what the results will be, but we’ll have I don’t know if a similar effect, but an effect of the vaccine on your reinfection risk. But the basic reinfection risk, that’s very clear.

The basic reinfection risk is going higher and higher. It was higher in Delta, and it was much higher in Omicron. So, if we assume…we’re not sure. If we assume that we have a similar effect and since the basic reinfection rates are much higher, the absolute effect should be higher assuming the same hazard ratio, but again, we did not research this yet. So, it’s just an assumption.

But we need to act all the time, and Israel is doing it, you can see like the fourth vaccination and the uncertainty. I mean, we don’t have evidence. We can just look at what we understand until now. That’s why Israel decided on a second booster, right? — a fourth vaccination — because the first booster was a huge success. Is the second booster a huge success?

We actually have some results on this, and our results are not published, but the minister in Israel published. It’s too soon to really tell but the decision was made. You don’t have time. Do we have the luxury to wait to see if vaccination helps in Omicron? No. It’s spreading like crazy.

Dr. Ali Raja:

That’s a great point. So, much of what public policy has been based on has had to be the data that we have available now even though we’re doing studies, and there will be more data in just a few weeks or months. You mentioned, Doctor Arbel, that the lack of a difference between one shot and two wasn’t a huge surprise for you because it makes sense given the modeling, were there any results that you did find surprising?

Dr. Ronen Arbel:

We actually did not know what would be the effect. I think 80 percent was probably higher than what we thought. We did not expect that in the older age group [vaccination would] have less of an effect. This age group interaction was discovered in the analysis, and we didn’t know. We don’t know when we go into the study what the results will be. I must point out here, it’s very important to say this is not in any way funded by Pfizer or any other company. All of our researchers are totally unbiased really and I think it’s very important.

So, we report what we find and don’t look at what will Pfizer…you know, they may like the first part. They probably don’t like the second part because you don’t need a second vaccination or a third vaccination. So, we are very strict not to get industry funding for these studies to make sure to really…I think it’s important to ensure that there is not even…of course, we are unbiased, but to make sure there is not even a suspicion of bias. Okay.

So, we can freely report what we see and be focused and that’s the advantage of our team that has all the clinical physicians who are leading this effort in Israel. They always push for the clinical question: “Should I vaccinate? How many vaccinations should I do?” These are really important clinical questions. That’s what we’re trying to answer.

Dr. Ali Raja:

So, let me actually ask you Doctor Arbel, I’m an emergency physician. I see patients every day, many of whom have had COVID, and they’re recovered. Some of those…fewer here in Massachusetts, but many still here and around the country look at me and say I just had COVID, I don’t need to get vaccinated. What does this mean in terms of the conversations I have with them, or a primary care doctor, or a pediatrician, what does this mean for the physicians who are actually seeing patients who have had COVID? What can we use this data to say?

Dr. Ronen Arbel:

So, the easy answer is, “You recovered from COVID, you have some coverage, but you can improve it significantly, dramatically, by one more vaccine.” I think it’s very simple.

Joe Elia:

Okay. Well, we want to thank you Doctor Arbel for your time with us today.

Dr. Ronen Arbel:

Thank you. It’s a great honor.

Joe Elia:
The pleasure is ours, but what’s the next step? Are you going to be investigating Omicron and its effects?

Dr. Ronen Arbel:

So, right now, we are looking in I think some of the major clinical questions, a second booster. The real-world effect on this of oral medication. Especially Pfizer. Especially in the vaccinated because all these studies have been done in unvaccinated patients. Most of these patients are vaccinated. This is a big question. We don’t know from the RCTs [randomized trials], is it working on vaccinated patients? We should have the results soon.

Dr. Ali Raja:

Those are exciting. That is such an important question.

Joe Elia:

That was our 282nd Clinical Conversation. We come to you from the NEJM Group and the writers and editors of NEJM Journal Watch. Kristin Kelley is our executive producer. I’m Joe Elia.

Dr. Ali Raja:

And I’m Ali Raja. Thanks for listening.

February 4th, 2022

Podcast 281: Drug Costs — What’s “The Right Price” for prescription pharmaceuticals?

Why can’t the U.S. control prescription drug pricing as they do in the U.K., where per-capita spending is less than half our level?

In a capitalist democracy, many parties — the drug companies, medical associations, consumer groups — get to lobby their points of view. Is the problem intractable, or just an exercise in chaos?

Our three guests have written a book about the problem, “The Right Price: A value-based prescription for drug costs.” And although they don’t have a definitive answer, they do offer recommendations, interesting observations, and a way forward.

Listen in and let us know what you think.

[Running time: 26 minutes]

“The Right Price” (Amazon link)

 

TRANSCRIPT

Joe Elia:

The US has the highest drug prices around, right? And it threatens household as well as governmental budgets. Who sets those prices? What is their basis?

You’re listening to Clinical Conversations from the NEJM Group. I’m Joe Elia and I’m here with the authors of a book that came out last year titled, “The Right Price: A Value-Based Prescription for Drug Costs.” The authors are Drs. Peter Neumann, Joshua Cohen, and Daniel Ollendorf — all of the Center for the Evaluation of Value and Risk in Health at Tufts Medical Center.

Welcome.

Well, we could quickly drown in numbers here, so let’s get some out of the way, immediately.

One is that US prescription pricing amounts of some $500 billion a year. And the other that I’d like to cite is our per capita spending on those drugs, on those prescription drugs, is at least twice that in the United Kingdom.

So, there are more numbers, but let’s get around to your book. As the book’s first author, Dr. Neumann, you’ll get the first question, but anyone’s allowed to answer at any point. So, why did you write The Right Price and what has the reaction to it been?

 

Dr. Peter Neumann:

Well, thanks, Joe, for having us first of all.

We wrote this book because the conversation around drug prices is very important, but it tends to focus on the level of prices, not on the value that the drugs deliver. And we thought it very important to try to orient the debate around drug value and not drug prices.

Everyone wants lower drug prices, of course, we do too, but the really critical question is what value the drugs are delivering, and how do we think about that, and what’s an acceptable price, given the value? And so far the reaction to the book, I think, has been quite positive. We’ve spoken to many audiences and had a lot of positive feedback from people. And I think, and we hope, that it’s contributing in a constructive way.

 

Joe Elia:

People who read medical literature often come across the acronym QALY. Can somebody explain that in 10 seconds or less?

 

Dr. Joshua Cohen:

Maybe I’ll take a shot at it. So, a QALY is just a life year, but we scale it to also account for health. So, are you in pain — are you functional, and so on? A “one” corresponds to the hypothetical state of being in perfect health; “zero” is the equivalent of being dead, and the rest of us are in between; closer to 1 is better.

 

Joe Elia:

Thanks, Josh, that was close to 10 seconds. So, somebody who’s not feeling well a lot would probably score only maybe a 0.6 out of 1 or 60 percent of 100. And so, you would say a year in that person’s life would represent 0.6 QALY’s.

 

Dr. Joshua Cohen:

Yeah. I mean, actually, 0.6 would be really someone in quite a bit of discomfort or you know loss of function, but yes that’s the idea. Someone who’s, you know, in very poor condition would have a number like that.

 

Joe Elia:

Okay. So, one organization, the Institute for Clinical and Economic Review (or as I think of it as “ICER”) gets a lot of mention. And we should mention as well that Dr. Ollendorf worked there for about a decade, I think. What is ICER and what does it do?

 

Dr. Daniel Ollendorf:

So, ICER in the parlance of the day is known as a health technology assessment organization. So, it does its work along the same lines that many other agencies and organizations internationally, such as NICE in England or the Canadian Agency for Drugs and Technologies in Health or CADTH in Canada, do. Essentially, it’s an organization that is focused on understanding the clinical evidence on new and emerging technologies. So, to Josh’s point, what kind of benefit…or to Peter’s point, what kind of benefit the new treatments might bring? And also, to understanding questions about the cost-effectiveness and the impact on the budget that these new technologies might bring as well.

So, really using state-of-the-art scientific techniques to understand the value equation that we talk about in the book.

What kinds of clinical benefits are being brought by the drug? How is that balanced out against the possible harms that the drug or technology might be causing? And what’s the price? And does that price align using a QALY as a measure of benefit? Does that price align with the value that the drug or technology is bringing?

 

Joe Elia:

Now, it’s not a government organization is it?

 

Dr. Daniel Ollendorf:

It is not. So, the US is a bit of an outlier in comparison to other developed nations, because we have no formal step to do this work. So, ICER does this as a private organization and so is limited only to making recommendations to patients, clinicians, payers and others about what a price — a value-based price — might look like and what the evidence is saying about a new treatment.

 

Joe Elia:

And as you said the UK has got this organization called NICE, but we don’t have one in the United States. And as I read your book, and as I’ve been reading through my life about the politics of medicine, I have the sense that the lobbying of the drug companies of medical organizations, et cetera, have a lot to do with the fact that ICER can’t be a governmental agency because they’ve been lobbied out of the government. Is that fair?

 

Dr. Daniel Ollendorf:

Yeah, well it’s a bit of an interesting history. So, in fact, one of the ironies here is that organizations like NICE are using methods that were, in fact, pioneered here in the US. So, we used to have government entities who did this work: the Office for Technology Assessment, the National Center for Health Technology. These were not formal agencies in quite the same way. They were more Congressional advisory services, but they provided a lot of this information and information on health technology to decision-makers and policymakers.

I think those early efforts were scuttled in part due to lobbying, not necessarily from the pharmaceutical industry. In fact, the medical profession was quite concerned at the time about this kind of work being done outside of the profession itself. But recently, it has been the case that lobbying from patient advocacy groups and from the pharmaceutical industry has prevented any sort of formal step like a NICE to be taken here.

 

Dr. Peter Neumann:

And I would add, Joe, the politics of this are quite tricky. There’s ideological opposition to the federal government playing too strong of a role in many areas including health technology assessment. And the rhetoric you often hear is that — at least from some places — we don’t want the federal government to get between doctors and patients in their ability to make their own decision. So, in addition to the lobbying, which we suggest and is real, I think we shouldn’t underestimate that just ideological opposition.

 

Joe Elia:

As I read your book I realized how complicated. I was telling myself things like, well, it’s not brain surgery — it’s worse!

Because trying to figure this out, increasingly these days, I’m reminded of what Rudolf Virchow, the founder of cellular pathology, said about medicine, and he said this in the 19th century. He said that medicine is a social science. And it seems to me that drug pricing is kind of a proof of that, that every piece of society has a stake in this. And because it’s a democracy it becomes less tidy than it otherwise might be.

You know, you hear things about, well, you know the price is “what the market will bear” and the realization is that the pharmaceutical, the drug companies sell stock and so they’re interested in having good value in their stock. But there’s a tradeoff between the interests of society and the medical and the pharmaceutical industry. Are we looking at a situation that’s going to continue to evolve and we’ll never solve this equation? It’s not like algebra, there’s no, there’s no X equals something at the end of the day. Could you comment on that?

 

Dr. Peter Neumann:

Well, we emphasize in the book how complicated the market for prescription drugs is. And in many ways it’s just a reflection of how complicated the healthcare system in the United States is with so many different players. We talk about all kinds of issues on the requirements, let’s say, on the demand side of the market. We have insurance. We have third party payers. We have this phenomenon that when a patient takes a drug and benefits other people benefit. On the supply side we have patents, we have regulation, we have many, many players in between the drug companies and the ultimate consumer, the patient, and on and on.

 

These complexities to some extent, of course, will always exist, but we argue in the book that we can at least help things along by providing better information to the marketplace on the value of prescription drugs by measuring value and disseminating that information. We argue that this is something that individuals and even individual payers can’t do very well by themselves, but really in our view it takes an organization like ICER, or perhaps in the future some government organization, to help things along.

 

Joe Elia:

Yes.

 

Dr. Daniel Ollendorf:

I might add in that, so we know that the Build Back Better Act, which did have some discussion of drug price reform in it, is sitting dormant in Congress. But I think what gives us some hope that something may be done to better integrate value into this conversation is that there still is a lot of interest in doing something. Whether that is a slimmed down version of Build Back Better or whether there is something that CMS will do on its own is an open question, but I think that there is still some energy and some enthusiasm. What we don’t know from the discussions is what sort of approach to drug price reform will be taken. Will it be some kind of across the board price controls or will it be a value-based approach? And we, obviously, argued for the latter.

 

Dr. Joshua Cohen:

You know, I think it’s important to emphasize something. You know Peter was talking about this, but you know at some level its like, “Wait a minute, why are drugs so complicated?” You know it seems like they’re different from all the other products that we buy, you know, from the trivial — we mention toothpaste in our book. We don’t have a toothpaste technology assessment agency, you know, looking at what the price of toothpaste should be or, even more important, you know less trivial products like cars and houses, and things like that. So, you know, what is it about drugs?

 

And what Peter said gets at that, which is on the demand side, you know, consumers are not patients, they’re not really in a position to choose drugs in the same way that they choose their toothpaste, right? There have to be a lot of other parties involved. There are clinicians, primarily, and on the supply side we can’t just have the sort of normal competition where, you know, different companies compete and bring the costs down to, or the price down to the marginal costs of production. And that’s because you have to have patent protection on these products, because they’re so easy to copy.

 

And so, that means that we can’t have the normal, you know, individual producers and consumers just interacting with Adam Smith’s invisible hand, and everything works out great. Instead, we have to collectively figure out what the price should be. And that gets to what you said earlier, which is this becomes a social enterprise, and that’s what we’re talking about.

 

Joe Elia:

Yes. In the United States we have offered a monopoly to the drug companies, a limited monopoly, for some time. And the argument that’s adduced, and that you bring forward in your book as well, is that, well, without this monopoly the drug companies have got no incentive to innovate, which I found — okay, so what would those companies do if they didn’t have that incentive? Would they go out and make lawnmowers or you know toothpaste?

 

Dr. Joshua Cohen:

Well, I mean, I think what would happen is that those companies, the capital that is behind them, it’s not so much that, like, the companies would decide something, but the capital would move elsewhere and you know the people with those skills would move to do something else. And so, we would not have, you know, if a lot of these medications sold at their cost, their marginal cost of production, they could be pennies a pill and you just would never get the kind of resources you need to attract all the people you need and the risk that’s involved the many years. You know there’s so many drugs that are investigated, molecules that are investigated, that then go nowhere that, you know, you just would not get anywhere near the kind of innovation that we get.

 

Dr. Peter Neumann:

And Josh’s point raises just a question that gets back to the title of our book, The Right Price. That you know we worry a lot about too high prices, understandably, but there also is a problem if we have too low prices. And so, the right price, again, is the value-based price. The price that we hope delivers the value to the consumer, but also provides the right incentives to be producers to innovate and to innovate for the next products.

 

Dr. Daniel Ollendorf:

So, to be clear the right price can be very high. So, if you have a gene therapy that cures a universally fatal disease that occurs in childhood, and you’re allowing that child to live something close to a complete life, that therapy can be very expensive. A million dollars, 2 million dollars might not be too high.

 

Joe Elia:

Right. And so, there are ways of determining what a price might be, and you talk a lot about those in the book, and this is where we start swimming in the big pool of numbers, if you’re so inclined. I’m not so inclined, but if there is an example that you would like to bring forward about this I’d be happy to hear it. Is there an approach that you might use to illustrate this?

 

Dr. Joshua Cohen:

I don’t know. I mean, let me take a shot at it, you know? We tell the story of how…in the book of how these methods came about. And they came about, you know, not because someone sat down one day and said, you know, we should do health economics and let’s start writing down the theorems that underlie that science. Instead, they were trying to solve, you know, pretty straightforward problems of the day. And those involved like, you know, hey, if we can save some lives what’s that worth?

 

And so, at first people were like, well, what’s a life worth? And then the limitations of asking that question became apparent because it was like, well, are you talking about saving the life of someone who’s 85 or someone who’s much younger? And what about the quality of life? It’s not just about extending life it’s about the quality of life. And then it’s like all right, well, how are we going to estimate things like, you know, an extra year of life or an improvement in, you know, freedom from pain? These are not things that you can estimate by going to the marketplace and seeing what price people place on these things, because they’re not bought and sold explicitly.

 

But economists came up with different ways of imputing these values by looking at decisions people make, for example, you know tradeoffs between large cars and small cars. Now, there are a lot of reasons why people buy large cars versus small cars, but one of them is implicitly that the large car has more safety. So, they are implicitly buying health there. So, that’s one approach. Or you can actually ask people, you can hypothetical, you know, if there were a pill that could extend your life by this much, you know, what would it be worth to you? So, there are different ways of doing it. They all have limitations, but that’s the basic thumbnail sketch of how the science of estimating the value of health evolved.

 

Joe Elia:

Well, you end your book with some recommendations, and you gave a nice definition of the QALY early on, and I think the book says let’s stick with it because it’s, if nothing else, a standard measure. Even though, sometimes, people say, well, it’s not that standard, but it’s the closest one we’ve got to a standard. Is that right?

 

Dr. Peter Neumann:

Well, I think, and we say this in the book, that the QALY is imperfect, it has its own challenges and problems, but it is useful as a kind of benchmark for value. And it’s a starting point, as we say in the book, the cost per QALY ratio as a measure of value is a starting point, and we think a good one, for this conversation about value. Other things may certainly enter the equation.

 

Dr. Daniel Ollendorf:

And it’s important to realize that all health technology assessment organizations, ICER included, think of the cost per QALY equation, the value equation, as an input into decision or recommendation making, not the sole driver. So, you need to look at the clinical evidence. You need to understand how severe the condition is and what the level of unmet need is in that condition. What’s the public health burden associated with it? So, there are lots of other deliberative and ethical aspects that go into that conversation.

 

Joe Elia:

And one of your recommendations, and you are all fans of ICER or something that would evolve from ICER, you say that ICER should be more transparent in its analyses. So, in other words they should be giving people the wherewithal to reproduce the calculations that they make.

 

Dr. Joshua Cohen:

Yes. So, of course these issues are extremely controversial and the only way that we can, I think that we can really make progress towards some sort of consensus on what the price of a particular therapy should be is if at least we can agree on the analysis, the facts, so to speak. And the best way to do that is to lay bare what we’re doing. So, when ICER or another health technology assessment organization does their analysis the best way that they can convey what they’ve done is to say, look, here’s our model, here’s our computer code. You can look at it. You can change it and see how different assumptions affect the answer. Then, at least, we can argue about what the right assumption should be rather than, you know, just kind of not being able to reach any consensus. Because I can’t really tell what you’re doing and we’re stuck.

 

Dr. Daniel Ollendorf:

We also argue that everyone in the ecosystem needs to do this. So, a lot of these analyses are sponsored by pharmaceutical companies and they need to be open with their models too.

 

Joe Elia:

It’s a good book, I have to say. This is not a book review, but I’ve learned a lot reading it and I think that anyone who’s going to be a student of drug prices or clinicians who are taking a course in it would benefit from your book and I want to congratulate you. Is there a question that I have not asked that you wish I had?

 

Dr. Joshua Cohen:

You know, I think one thing that would be helpful is just even a simple explanation of what is a cost-effectiveness ratio, because, I think, especially you said that young clinicians are your audience. And so, you know, cost-effective ratio sounds really technical, but what a cost-effectiveness ratio is, is it’s the incremental cost per unit of benefit. Even that sounds complicated, but it’s really just a price. So, you know, if I go out and buy a gallon of milk, you know, 4 dollars per gallon of milk, the cost per unit of good thing, the milk, that is better than 5 dollars per gallon of milk.

 

So, we want low ratios, that’s good, and higher ratios are not as favorable. And to determine whether something…whether we’re paying too much for something we look at the ratio and we say, hey, you know if we’re paying 50,000 dollars for a quality-adjusted life year for this medication, if that’s what it’s giving us, is that a good price or does the price need to be lowered so that the cost-effectiveness ratio is lower, that is more favorable?

 

Dr. Peter Neumann:

I think the other problem we didn’t get to, and I think is important for your audience, is even if we get to value-based prices there’s still this affordability issue for many people that will remain. In other words, the value-based price, as Dan said, could be quite high. It could be a million, 2 million dollars for a gene therapy. There’s a separate problem of out-of-pocket costs rising for many, many patients and that needs to be dealt with as well through insurance reforms. And there’s legislation that’s being discussed to do things like that.

 

Joe Elia:

Okay.

 

Dr. Joshua Cohen:

And that’s something that is towards the end of our book. It might even be in chapter 11, I can’t remember. So the way to fix accessibility is not to say, “Well, let’s make the price really low,” because then you run into an innovation problem. You want to have the right price, but then as a society we need to figure out how can everyone get access to the therapies at that right price? And that’s insurance reform.

 

Joe Elia:

Okay. I want to thank you Dr. Neumann, Dr. Cohen, and Dr. Ollendorf for your time with me today. And I want to mention, once again, that your book, The Right Price, is available (for a right price, I hope) from the Oxford University Press.

That was our 281st Clinical Conversation. We come to you from the NEJM Group and the writers and editors of NEJM Journal Watch. Kristin Kelley is our executive producer, and I’m Joe Elia, thank you for listening.

January 14th, 2022

Podcast 280: MIS-C after Covid-19 in adolescents — can vaccination prevent it?

Multisystem inflammatory syndrome in children (or MIS-C) is a serious complication of Covid-19 infection, usually showing up about a month after infection.

CDC worked with several hospitals around the U.S. to discern whether vaccination in adolescents would lessen the likelihood of this outcome. A vaccine hadn’t yet been approved, as it now is, for kids between 5 and 11).

The bottom line is that vaccination with BNT162b2 (colloquially known as Pfizer-BioNTech) proved over 90% effective in preventing MIS-C.

Listen in as we discuss the work with CDC’s Laura Zambrano. The interview runs about 15 minutes.

The article in MMWR (free)

TRANSCRIPT

Joe Elia:

Multisystem Inflammatory Syndrome in Children or MIS-C is a troubling complication of COVID-19 infection. Does vaccination lower the risk?

You’re listening to Clinical Conversations from the NEJM Group. I’m Joe Elia, and I’m here with a principal co-author of a paper in MMWR published last week.

Dr. Laura Zambrano, the senior epidemiologist in the [Multisystem Inflammatory Syndrome] unit, which is a part of CDC’s COVID-19 Emergency Response Task Force, is here with us. Welcome, Dr. Zambrano.

Dr. Laura Zambrano:

Well, thank you. And thank you so much for having me.

Joe Elia:

You’ve been busy there at the CDC, I’ll bet. What prompted this research into MIS-C and how did you go about doing it?

Dr. Laura Zambrano:

MIS-C, as you mentioned, stands for Multisystem Inflammatory Syndrome in Children. And we understand it to be a post-acute hyperinflammatory syndrome that generally occurs between two and six weeks after a child tests positive for SARS-CoV-2. And it is a severe syndrome. It is characterized by fever, systemic inflammation and affects multiple organs throughout the body with a combination of severe cardiac, respiratory, gastrointestinal, mucocutaneous, hematologic, neurologic, or renal complications.

MIS-C was first described among patients in the United Kingdom and then in New York City in the spring of 2020. And since then, it has been reported worldwide. And higher MIS-C incidence really closely follows peaks of reported SARS-CoV-2 circulation, and it’s really a function of the number of infections reported among children. As of last week, we have received over 6,400 reports of children with MIS-C meeting our CDC case definition. And given the occurrence and recent surge of COVID we are anticipating, unfortunately, that a wave of MIS-C will soon follow, so we have our eyes on that.

So, all that to say we understand that severe outcomes related to COVID-19 can, and absolutely do occur in children, and MIS-C is one of them. And this is an outcome we are clearly hoping to avoid in children. We already have many studies that broadly show high vaccine efficacy and effectiveness against SARS-CoV-2 infection and severe COVID disease, but real-world effectiveness against MIS-C is a little bit trickier to assess. For one, MIS-C generally occurs after infection and can follow infections in children that are generally milder or even asymptomatic. And we felt we needed to quantify the degree of protection inferred by a vaccination against MIS-C in addition to some of these other analyses that have examined severe COID-related outcomes.

Joe Elia:

You describe the work as a test-negative case-control design, so could you oversimplify that for me?

Dr. Laura Zambrano:

Sure, of course. In any case-control study we’re looking to enroll patients who have a specific syndrome or outcome. And then we’re interested in exploring on a broad basis what exposures may have led to that outcome. And here, of course, the exposure is vaccination, really the protection. You know the exposure here is not being vaccinated, right, and development of MIS-C. So, what a test-negative case-control analysis involves, generally this is a standard study design used for other vaccine effectiveness studies: we take patients with a specific outcome, in this case MIS-C, and we match them to hospitalized controls.

In this case, these were hospitalized controls who fit into two categories: they either had a respiratory or COVID-like illness and actually tested negative for COVID-19 in the hospital generally by RT-PCR or possibly antigen, generally RT-PCR; or they could be syndrome-negative completely. And so, these could be children who are hospitalized for any other number of reasons, you know, they could be hospitalized, for example, as a trauma victim, but of course without any COVID-related symptoms. And so, we essentially pooled those together ultimately in our analysis, but one thing to note is that the vast majority, of course, of our syndrome-negative patients also tested negative for SARS-CoV-2 upon hospital admission.

Joe Elia:

Okay. And the way that you collected these cases, Dr. Zambrano — you had people across the country contributing these records. Can you talk a little bit about that?

Dr. Laura Zambrano:

Oh, yeah. So, this actually goes into this longstanding relationship that the CDC has had with Boston Children’s Hospital. And Boston Children’s Hospital has led a hospital network, and this is led by Dr. Adrienne Randolph who is really our principal investigator there, and the purpose of the original network was really to examine the effects of severe influenza in children. But early on in the pandemic we leveraged this network to create the Overcoming COVID-19 Network to better understand the clinical course of children hospitalized with severe COVID-19 and MIS-C.

We’ve used this platform to collect detailed clinical information on children hospitalized at over 70 hospitals across the United States. And one of these activities includes examining vaccine effectiveness against both hospitalization and critical COVID-19 illness in children and adolescents, and of course assessing vaccine effectiveness against MIS-C. In this particular study, we had 24 of these network hospitals that participated.

Joe Elia:

I see. Now, in terms of numbers of patients. You had, roughly speaking, and I’m going to talk in rough numbers here, you had roughly 100 patients with MIS-C.

Dr. Laura Zambrano:

One hundred and two, yeah.

Joe Elia:

These were all adolescents between the ages of 12 and 18.

Dr. Laura Zambrano:

Yes.

Joe Elia:

And then you had another, roughly, 200 hospitalized adolescents who were matched by various criteria. All right. So, what did you find?

Dr. Laura Zambrano:

Sure, I think really we had three overarching key findings.

Number one, the key finding here, I think, overall is that COVID-19 vaccination is highly effective in preventing MIS-C in adolescents. And how effective? We estimate 91 percent effective.

Number two, among the MIS-C patients we enrolled, 95 percent of them — 95 percent — were unvaccinated.

And number three (and while I still think it might be a little too early to tell for sure just because of the sample sizes that we were working with) overall, unvaccinated MIS-C patients appear to have more severe disease. This is really illustrated by the fact that nearly 40 percent of them required life support: they required some combination of invasive mechanical ventilation, vasoactive infusions to treat shock, and ECMO. But in contrast, none of the vaccinated patients included in the study required these treatments.

Those, I think, are the three overarching findings.

Joe Elia:

So, if I were to choose just one finding I would say ”Wow, only five percent of the MIS-C patients were fully vaccinated!”

Dr. Laura Zambrano:

Yes. Yes.

And you know one thing, I think, that is remarkable is we’ve seen that statistic highlighted time and time again regardless of almost whatever severe outcome we are looking at related to COVID-19. That, really, the overwhelming majority of patients exhibiting severe outcomes are unvaccinated.

Joe Elia:

So, the vaccination even among those children who came down with the syndrome, in that small group, their syndromes were less severe, that none of them required life support, or ECMO. And so, it seems, and as you calculated, the vaccine was roughly 90 – 91 percent effective in preventing MIS-C in those adolescents.

Dr. Laura Zambrano:

Yeah. And of course of note too, you know, one thing that we did notice is that ICU admissions also, I mean of course the sample size is small, but still, ICU admissions appear to be lower as well among the MIS-C patients. And so, we’ve seen consistently in our surveillance cohorts, for example, that the proportion (and this is looking at vaccination before or data from before vaccinations were available) that adolescents. requiring ICU admission has consistently ranged between 61 and 66 percent.

And again in this analysis we see among the unvaccinated patients about 63 percent of MIS-C patients required ICU admission, but among the five vaccinated patients only one — or really 20 percent — required ICU-level care. So, it’s still very early data. I don’t, you know, want to overinterpret it, but I do think it’s a promising sign.

Joe Elia:

And speaking of small samples, because you only had, I think, 81 or 84 or something like that cases, does this surveillance, does this research continue? Is it ongoing?

Dr. Laura Zambrano:

Sure. So, we have 102 cases, but absolutely the enrollment is continuing. And we really wanted to get this data out as soon as we felt like we had a sufficient sample size to get a reasonably precise estimate of vaccine effectiveness. But we absolutely are continuing to enroll patients. And you know specifically, I think, our next steps really are to look at the next-youngest age group, those 5 to 11 years old, who of course vaccination was just recommended for them starting back in November. And we didn’t have sufficient time, of course, to include them in this round of the analysis, but you know we are enrolling more of the 12- to 18-year-olds and we are enrolling the 5- to 11- year-olds right now.

Joe Elia:

And all the children who were vaccinated had received the Pfizer-BNT vaccine because that was the one that was available and had been approved by the FDA.

Dr. Laura Zambrano:

Yes, absolutely. And you know we set an exclusion criterion ahead of time that you know if a child had received another vaccine for some odd reason, even if they weren’t approved to do so, we would exclude them, but we actually did not see that. These children that were within this analysis all received the Pfizer vaccine.

Joe Elia:

Okay. Is there a question you wish I had asked you that I did not?

Dr. Laura Zambrano:

That’s a great question. You know one thing that I do want to emphasize, and of course this doesn’t have to go into the podcast this is just more me floating this by you, but this 5 to 11 age group is actually really important to us. And so, I would actually love to expand upon that a little bit more, mainly because the 5 to 11 year olds really appear to be the age group that’s disproportionately affected by MIS-C. And so, I’d love to just kind of talk about that age group a little bit more and the implications in this analysis for younger kids.

Joe Elia:

Sure, go ahead. And you’ve given a good introduction to the question, so I won’t ask it formally. Go right ahead.

Dr. Laura Zambrano:

The fact that the study here was focused on adolescents was really a function of timing. So, of course, the Pfizer-BioNTech vaccine was recommended for teens in mid-May, so we had this really nice window of time from July to December to study vaccine effectiveness in this group. But one thing that’s of real concern to us is that MIS-C is actually more common in younger kids. So, for example, the next age group eligible for vaccination, these 5- to 11-year-olds, are disproportionately more affected by MIS-C compared to other age groups.

So, as of last week, you know, when we posted this to our CDC website — to the CDC COVID Data Tracker, we have actually an MIS-C module there and I could direct your listeners to that webpage — but as of last week these 5- to 11-year-olds comprised 46 percent of all cases reported to the CDC. The Pfizer-BioNTech vaccine was only recommended for this age group back in November, you know, well that’s really the reason we weren’t really able to include them in this analysis, but we are currently investigating vaccine effectiveness in this group.

And one thing I want to emphasize is even though we don’t have a vaccine effectiveness estimate for the 5- to 11-year-olds yet, I don’t think there’s any reason to believe that vaccinations wouldn’t also protect these kids from developing MIS-C. So, we really want to use these findings from this study to encourage all parents to get their kids vaccinated to protect against the worst outcomes of this virus.

Joe Elia:

Okay. Well, I want to thank you for your time today, Dr. Zambrano.

Dr. Laura Zambrano:

Thank you so much for having me. And, Joe, one question that I would love to…or I do have a couple of statements I would love to make and you could sort of paste this or append this earlier in the podcast or where you see fit. But the one, I think, plea that I have for the public or for pediatric care providers in particular is truly, I mean, aside from being a public health professional and a scientist, I’m also the mom of a 4-year-old little boy and he is the light of my life. And so, this issue is extremely personal for me, and from that perspective I really view it as our responsibility to protect our kids and then really empower parents and pediatric providers with the information that will help them protect theirs.

Joe Elia:

Okay. I should emphasize that Dr. Zambrano’s views are her own and not necessarily those of the Centers for Disease Control and Prevention. That was our 280th Clinical Conversation. We come to you from the NEJM Group and the writers and editors of NEJM Journal Watch. Kristin Kelley is our executive producer, and I’m Joe Elia. Thank you for listening.

 

September 27th, 2021

Podcast 279: Age-specific data do better than age-adjusted data in revealing health inequities

Kiarri Kershaw has written a simple letter in JACC — the Journal of the American College of Cardiology. The letter conveys a strong message: health inequities don’t act uniformly across one’s lifetime. Her examination of Black versus white mortality from all causes and from cardiovascular causes with the use of age-specific data shows places in the life of a population where health interventions could lower mortality risks. Using age-adjusted data to examine an entire population is too coarse an approach.

She and her colleagues found that older Black people (age 85+) show a survival advantage over whites, despite the fact that whites hold the advantage at every other age interval. There are several possible reasons for this, and Dr. Kershaw and my co-host Dr. Karol Watson offer a few.

This is probably the shortest Clinical Conversation ever, coming in at under 7 minutes. And it’s well worth your listening time.

Dr. Kershaw’s letter in JACC.

April 27th, 2021

Podcast 278: Where equity and community health intersect — a conversation with Joseph Betancourt

An internist at Massachusetts General Hospital, Dr. Joseph Betancourt also runs their program on equity and community health.

In this, the final entry in our four-interview exploration of race and clinical equity, Betancourt talks about the need for medical institutions to pay attention to what’s happening in their patients’ communities. To that end, MGH has a “bodega makeover” initiative to bring healthy food choices to local stores. (His grandfather’s bodega in Spanish Harlem likely served as an inspiration.)

Running time: 17 minutes

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