Clever Firm Predicts Patients Most at Risk, Then Tries to Intervene Before They Get Sicker
The diabetic patient hit the danger zone.
Ideally, blood sugar, measured by an A1C test, rests at 5.9 or less. A 7 is elevated, according to the Diabetes Council. Over 10, and you're into the extreme danger zone, at risk of every diabetic crisis from kidney failure to blindness.
In three months of working with a case manager, Jen's blood sugar had dropped to 7.2, a much safer range.
This patient's A1C was 10. Let's call her Jen for the sake of this story. (Although the facts of her case are real, the patient's actual name wasn't released due to privacy laws.).
Jen happens to live in Pennsylvania's Lehigh Valley, home of the nonprofit Lehigh Valley Health Network, which has eight hospital campuses and various clinics and other services. This network has invested more than $1 billion in IT infrastructure and founded Populytics, a spin-off firm that tracks and analyzes patient data, and makes care suggestions based on that data.
When Jen left the doctor's office, the Populytics data machine started churning, analyzing her data compared to a wealth of information about future likely hospital visits if she did not comply with recommendations, as well as the potential positive impacts of outreach and early intervention.
About a month after Jen received the dangerous blood test results, a community outreach specialist with psychological training called her. She was on a list generated by Populytics of follow-up patients to contact.
"It's a very gentle conversation," says Cathryn Kelly, who manages a care coordination team at Populytics. "The case manager provides them understanding and support and coaching." The goal, in this case, was small behavioral changes that would actually stick, like dietary ones.
In three months of working with a case manager, Jen's blood sugar had dropped to 7.2, a much safer range. The odds of her cycling back to the hospital ER or veering into kidney failure, or worse, had dropped significantly.
While the health network is extremely localized to one area of one state, using data to inform precise medical decision-making appears to be the wave of the future, says Ann Mongovern, the associate director of Health Care Ethics at the Markkula Center for Applied Ethics at Santa Clara University in California.
"Many hospitals and hospital systems don't yet try to do this at all, which is striking given where we're at in terms of our general technical ability in this society," Mongovern says.
How It Happened
While many hospitals make money by filling beds, the Lehigh Valley Health Network, as a nonprofit, accepts many patients on Medicaid and other government insurances that don't cover some of the costs of a hospitalization. The area's population is both poorer and older than national averages, according to the U.S. Census data, meaning more people with higher medical needs that may not have the support to care for themselves. They end up in the ER, or worse, again and again.
In the early 2000s, LVHN CEO Dr. Brian Nester started wondering if his health network could develop a way to predict who is most likely to land themselves a pricey ICU stay -- and offer support before those people end up needing serious care.
Embracing data use in such specific ways also brings up issues of data security and patient safety.
"There was an early understanding, even if you go back to the (federal) balanced budget act of 1997, that we were just kicking the can down the road to having a functional financial model to deliver healthcare to everyone with a reasonable price," Nester says. "We've got a lot of people living longer without more of an investment in the healthcare trust."
Popultyics, founded in 2013, was the result of years of planning and agonizing over those population numbers and cost concerns.
"We looked at our own health plan," Nester says. Out of all the employees and dependants on the LVHN's own insurance network, "roughly 1.5 percent of our 25,000 people — under 400 people — drove $30 million of our $130 million on insurance costs -- about 25 percent."
"You don't have to boil the ocean to take cost out of the system," he says. "You just have to focus on that 1.5%."
Take Jen, the diabetic patient. High blood sugar can lead to kidney failure, which can mean weekly expensive dialysis for 20 years. Investing in the data and staff to reach patients, he says, is "pennies compared to $100 bills."
For most doctors, "there's no awareness for providers to know who they should be seeing vs. who they are seeing. There's no incentive, because the incentive is to see as many patients as you can," he says.
To change that, first the LVHN invested in the popular medical management system, Epic. Then, they negotiated with the top 18 insurance companies that cover patients in the region to allow access to their patient care data, which means they have reams of patient history to feed the analytics machine in order to make predictions about outcomes. Nester admits not every hospital could do that -- with 52 percent of the market share, LVHN had a very strong negotiating position.
Third party services take that data and churn out analytics that feeds models and care management plans. All identifying information is stripped from the data.
"We can do predictive modeling in patients," says Populytics President and CEO Gregory Kile. "We can identify care gaps. Those care gaps are noted as alerts when the patient presents at the office."
Kile uses himself as a hypothetical patient.
"I pull up Gregory Kile, and boom, I see a flag or an alert. I see he hasn't been in for his last blood test. There is a care gap there we need to complete."
"There's just so much more you can do with that information," he says, envisioning a future where follow-up for, say, knee replacement surgery and outcomes could be tracked, and either validated or changed.
Ethical Issues at the Forefront
Of course, embracing data use in such specific ways also brings up issues of security and patient safety. For example, says medical ethicist Mongovern, there are many touchpoints where breaches could occur. The public has a growing awareness of how data used to personalize their experiences, such as social media analytics, can also be monetized and sold in ways that benefit a company, but not the user. That's not to say data supporting medical decisions is a bad thing, she says, just one with potential for public distrust if not handled thoughtfully.
"You're going to need to do this to stay competitive," she says. "But there's obviously big challenges, not the least of which is patient trust."
So far, a majority of the patients targeted – 62 percent -- appear to embrace the effort.
Among the ways the LVHN uses the data is monthly reports they call registries, which include patients who have just come in contact with the health network, either through the hospital or a doctor that works with them. The community outreach team members at Populytics take the names from the list, pull their records, and start calling. So far, a majority of the patients targeted – 62 percent -- appear to embrace the effort.
Says Nester: "Most of these are vulnerable people who are thrilled to have someone care about them. So they engage, and when a person engages in their care, they take their insulin shots. It's not rocket science. The rocket science is in identifying who the people are — the delivery of care is easy."
Since March, 35 patients in the care of Dr. Gregory Jicha, a neurologist at the University of Kentucky, have died of Alzheimer's disease or related dementia.
Meanwhile, with 233 active clinical trials underway to find treatments, Jicha wonders why mainstream media outlets don't do more to highlight potential solutions to the physical, emotional and economic devastation of these diseases. "Unfortunately, it's not until we're right at the cusp of a major discovery that anybody pays attention to these very promising agents," he says.
Heightened awareness would bring more resources for faster progress, according to Jicha. Otherwise, he's concerned that current research pipelines will take over a decade.
In recent years, newspapers with national readerships have devoted more technology reporting to key developments in social media, artificial intelligence, wired gadgets and telecom. Less prominent has been news about biotech—innovations based on biology research—and new medicines emerging from this technology. That's the impression of Jicha as well as Craig Lipset, former head of clinical innovation at Pfizer. "Scientists and clinicians are entirely invested [in biotech], yet no one talks about their discoveries," he says.
With the popular press rightly focusing on progress with a vaccine for COVID-19 this year, notable developments in biomarkers, Alzheimer's and cancer research, gene therapies for cystic fibrosis, and therapeutics related to biological age may be going unreported. Jennifer Goldsack, Executive Director of the nonprofit Digital Medicine Society, is confused over the media's soft touch with biotech. "I'm genuinely interested in understanding what editors of technology sections think the public wants to be reading."
The Numbers on Media Coverage
A newspaper's health section is a sensible fit for biotech reporting. In 2020, these departments have concentrated largely on COVID-19—as they should—while sections on technology and science don't necessarily pick up on other biotech news. Emily Mullin, staff writer for the tech magazine OneZero, has observed a gap in newspaper coverage. "You have a lot of [niche outlets] reporting biotech on the business side for industry experts, and you have a lot of reporting heavily from the science side focused on [readers who are] scientists. But there aren't a lot of outlets doing more humanizing coverage of biotech."
Indeed, the volume of coverage by top-tier media outlets in the U.S. for non-COVID biotech has dropped 32 percent since the pandemic spiked in March, according to an analysis run for this article by Commetric, a company that looks at media reputation for clients in many sectors including biotech and artificial intelligence. Meanwhile, the volume of coverage for AI has held steady, up one percent.
Commetric's CEO, Magnus Hakansson, thinks important biotech stories were omitted from mainstream coverage even before the world fell into the grips of the virus. "Apart from COVID, it's been extremely difficult for biotech companies to push out their discoveries," he says. "People in biotech have to be quite creative when they want to communicate [progress in] different therapeutic areas, and that is a problem."
In mid-February, just before the pandemic dominated the news cycle, researchers used machine learning to find a powerful new antibiotic capable of killing strains of disease-causing bacteria that had previously resisted all known antibiotics. Science-focused outlets hailed the work as a breakthrough, but some nationally-read newspapers didn't mention it. "There is this very silent crisis around antibiotic resistance that no one is aware of," says Goldsack. "We could be 50 years away from not being able to give elective surgeries because we are at such a high risk of being unable to control infection."
Could mainstream media strike a better balance between cynicism toward biotech and hyping animal studies that probably won't ever benefit the humans reading about them?
What's to Gain from More Mainstream Biotech
A brighter public spotlight on biotech could result in greater support and faster progress with research, says Lipset. "One of the biggest delays in drug development is patient recruitment. Patients don't know about the opportunities," he said, because, "clinical research pipelines aren't talked about in the mainstream news." Only about eight percent of oncology patients participate.
The current focus on COVID-19, while warranted, could also be excluding lines of research that seem separate from the virus, but are actually relevant. In September, Nir Barzilai, director of the Institute of Aging Research at Albert Einstein College of Medicine, told me about eight different observational studies finding decreased COVID-19 severity among people taking a drug called metformin, which is believed to slow down the major hallmarks of biological aging, such as inflammation. Once a vaccine is approved and distributed, biologically older people could supplement it with metformin.
"Shining the spotlight on this research now could really be critical because COVID has shown what happens in older adults and how they're more at risk," says Jenna Bartley, a researcher of aging and immunology at the University of Connecticut, but she believes mainstream media sometimes miss stories on anti-aging therapies or portray them inaccurately.
The question remains why.
The Theranos Effect and Other Image Problems
Before the pandemic, Mullin, the biotech writer at OneZero, looked into a story for her editor about a company with a new test for infectious diseases. The company said its test, based on technology for editing genes, was fast, easy to use, and could be tailored to any pathogen. Mullin told her editor the evidence for the test's validity was impressive.
He wondered if readers would agree. "This is starting to sound like Theranos," he said.
The brainchild of entrepreneur Elizabeth Holmes, Theranos was valued at $9 billion in 2014. Time Magazine named Holmes one of its most influential people, and the blood-testing company was heavily covered by the media as a game changer for health outcomes—until Holmes was exposed by the Wall Street Journal as a fraud and criminally charged.
In the OneZero article, Mullin and her editor were careful to explain the gene-editing tech was legit, explicitly distinguishing it from Theranos. "I was like, yes—but this actually works! And they can show it works."
While the Holmes scandal explains some of the mistrust, it's part of a bigger pattern. The public's hopes for biotech have been frustrated repeatedly in recent decades, fostering a media mantra of fool me twice, shame on me. A recent report by Commetric noted that after the bursting of the biotech market bubble in the early 2000s, commentators grew deeply skeptical of the field. An additional source of caution may be the number of researchers in biotech with conflicts of interest such as patents or their own startups. "It's a landmine," Mullin said. "We're conditioned to think that scientists are out for the common good, but they have their own biases."
Yet another source of uncertainty: the long regulatory road and cost for new therapies to be approved by the FDA. The process can take 15 years and over a billion dollars; the percentage of drugs actually crossing the final strand of red tape is notoriously low.
"The only time stories have reached the news is when there's a sensational headline about the cure for cancer," said Lipset, "when, in fact it's about mice, and then things drop off." Meanwhile, consumer protection hurdles for some technologies, such as computer chips, are less onerous than the FDA gauntlet for new medicines. The media may view research breakthroughs in digital tech as more impactful because they're likelier to find their way into commercially available products.
And whereas a handful of digital innovations have been democratized for widespread consumption—96 percent of Americans now own a cell phone, and 72 percent use social media—journalists at nationally-read newspapers may see biotech as less attainable for the average reader. Sure, we're all aging, but will the healthcare system grant everyone fair access to treatments for slowing the aging process? Current disparities in healthcare sow reason for doubt.
And yet. Recall Lipset's point that more press coverage would drive greater participation in clinical trials, which could accelerate them and diversify participants. Could mainstream media strike a better balance between cynicism toward biotech and hyping animal studies that probably won't ever benefit the humans reading about them?
Biotech in a Post-COVID World
Imagine it's early 2022. Hopefully, much of the population is protected from the virus through some combination of vaccines, therapeutics, and herd immunity. We're starting to bounce back from the social and economic shocks of 2020. COVID-19 headlines recede from the front pages, then disappear altogether. Gradually, certain aspects of life pick up where they left off in 2019, while a few changes forced by the pandemic prove to be more lasting, some for the better.
Among its possible legacies, the virus could usher in a new era of biotech development and press coverage, with these two trends reinforcing each other. While government has mismanaged its response to the virus, the level of innovation, collaboration and investment in pandemic-related biotech has been compared to the Manhattan Project. "There's no question that vaccine acceleration is a success story," said Kevin Schulman, a professor of medicine and economics at Stanford. "We could use this experience to build new economic models to correct market failures. It could carry over to oncology or Alzheimer's."
As Winston Churchill said, never let a good crisis go to waste.
Lipset thinks the virus has primed us to pay attention, bringing biotech into the public's consciousness like never before. He's amazed at how many neighbors and old friends from high school are coming out of the woodwork to ask him how clinical trials work. "What happens next is interesting. Does this open a window of opportunity to get more content out? People's appetites have been whetted."
High-profile wins could help to sustain interest, such as deployment of rapid tests of COVID-19 to be taken at home, a version of which the FDA authorized on November 18th. The idea bears resemblance to the Theranos concept, also designed as a portable analysis, except this test met the FDA's requirements and has a legitimate chance of changing people's lives. Meanwhile, at least two vaccines are on track to gain government approval in record time. The unprecedented speed could be a catalyst for streamlining inefficiencies in the FDA's approval process in non-emergency situations.
Tests for COVID-19 represent what some view as the future of managing diseases: early detection. This paradigm may be more feasible—and deserving of journalistic ink—than research on diseases in advanced stages, says Azra Raza, professor of medicine at Columbia University. "Journalists have to challenge this conceit of thinking we can cure end-stage cancer," says Raza, author of The First Cell. Beyond animal studies and "exercise helps" articles, she thinks writers should focus on biotech for catching the earliest footprints of cancer when it's more treatable. "Not enough people appreciate the extent of this tragedy, but journalists can help us do it. COVID-19 is a great moment of truth telling."
Another pressing truth is the need for vaccination, as half of Americans have said they'll skip them due to concerns about safety and effectiveness. It's not the kind of stumbling block faced by iPhones or social media algorithms. AI stirs plenty of its own controversy, but the public's interest in learning about AI and engaging with it seems to grow regardless. "Who are the publicists doing such a good job for AI that biotechnology is lacking?" Lipset wonders.
The job description of those publicists, whoever they are, could be expanding. Scientists are increasingly using AI to measure the effects of new medicines that target diseases—including COVID-19—and the pathways of aging. Mullin noted the challenge of reporting breakthroughs in the life sciences in ways the public understands. With many newsrooms tightening budgets, fewer writers have science backgrounds, and "biotech is daunting for journalists," she says. "It's daunting for me and I work in this area." Now factor in the additional expertise required to understand biotech and AI. "I learned the ropes for how to read a biotech paper, but I have no idea how to read an AI paper."
Nevertheless, Mullin believes reporters have a duty to scrutinize whether this convergence of AI and biotech will foster better outcomes. "Is it just the shiny new tool we're employing because we can? Will algorithms help eliminate health disparities or contribute to them even more? We need to pay attention."
Blood Money: Paying for Convalescent Plasma to Treat COVID-19
Convalescent plasma – first used to treat diphtheria in 1890 – has been dusted off the shelf to treat COVID-19. Does it work? Should we rely strictly on the altruism of donors or should people be paid for it?
The biologic theory is that a person who has recovered from a disease has chemicals in their blood, most likely antibodies, that contributed to their recovery, and transferring those to a person who is sick might aid their recovery. Whole blood won't work because there are too few antibodies in a single unit of blood and the body can hold only so much of it.
Plasma comprises about 55 percent of whole blood and is what's left once you take out the red blood cells that carry oxygen and the white blood cells of the immune system. Most of it is water but the rest is a complex mix of fats, salts, signaling molecules and proteins produced by the immune system, including antibodies.
A process called apheresis circulates the donors' blood through a machine that separates out the desired parts of blood and returns the rest to the donor. It takes several times the length of a regular whole blood donation to cycle through enough blood for the process. The end product is a yellowish concentration called convalescent plasma.
Recent History
It was used extensively during the great influenza epidemic off 1918 but fell out of favor with the development of antibiotics. Still, whenever a new disease emerges – SARS, MERS, Ebola, even antibiotic-resistant bacteria – doctors turn to convalescent plasma, often as a stopgap until more effective antibiotic and antiviral drugs are developed. The process is certainly safe when standard procedures for handling blood products are followed, and historically it does seem to be beneficial in at least some patients if administered early enough in the disease.
With few good treatment options for COVID-19, doctors have given convalescent plasma to more than a hundred thousand Americans and tens of thousand of people elsewhere, to mixed results. Placebo-controlled trials could give a clearer picture of plasma's value but it is difficult to enroll patients facing possible death when the flip of a coin will determine who will receive a saline solution or plasma.
And the plasma itself isn't some uniform pill stamped out in a factory, it's a natural product that is shaped by the immune history of the donor's body and its encounter not just with SARS-CoV-2 but a lifetime of exposure to different pathogens.
Researchers believe antibodies in plasma are a key factor in directly fighting the virus. But the variety and quantity of antibodies vary from donor to donor, and even over time from the same donor because once the immune system has cleared the virus from the body, it stops putting out antibodies to fight the virus. Often the quality and quantity of antibodies being given to a patient are not measured, making it somewhat hit or miss, which is why several companies have recently developed monoclonal antibodies, a single type of antibody found in blood that is effective against SARS-CoV-2 and that is multiplied in the lab for use as therapy.
Plasma may also contain other unknown factors that contribute to fighting disease, say perhaps signaling molecules that affect gene expression, which might affect the movement of immune cells, their production of antiviral molecules, or the regulation of inflammation. The complexity and lack of standardization makes it difficult to evaluate what might be working or not with a convalescent plasma treatment. Thus researchers are left with few clues about how to make it more effective.
Industrializing Plasma
Many Americans living along the border with Mexico regularly head south to purchase prescription drugs at a significant discount. Less known is the medical traffic the other way, Mexicans who regularly head north to be paid for plasma donations, which are prohibited in their country; the U.S. allows payment for plasma donations but not whole blood. A typical payment is about $35 for a donation but the sudden demand for convalescent plasma from people who have recovered from COVID-19 commands a premium price, sometimes as high as $200. These donors are part of a fast-growing plasma industry that surpassed $25 billion in 2018. The U.S. supplies about three-quarters of the world's needs for plasma.
Payment for whole blood donation in the U.S. is prohibited, and while payment for plasma is allowed, there is a stigma attached to payment and much plasma is donated for free.
The pharmaceutical industry has shied away from natural products they cannot patent but they have identified simpler components from plasma, such as clotting factors and immunoglobulins, that have been turned into useful drugs from this raw material of plasma. While some companies have retooled to provide convalescent plasma to treat COVID-19, often paying those donors who have recovered a premium of several times the normal rate, most convalescent plasma has come as donations through traditional blood centers.
In April the Mayo Clinic, in cooperation with the FDA, created an expanded access program for convalescent plasma to treat COVID-19. It was meant to reduce the paperwork associated with gaining access to a treatment not yet approved by the FDA for that disease. Initially it was supposed to be for 5000 units but it quickly grew to more than twenty times that size. Michael Joyner, the head of the program, discussed that experience in an extended interview in September.
The Centers for Medicare and Medicaid Services (CMS) also created associated reimbursement codes, which became permanent in August.
Mayo published an analysis of the first 35,000 patients as a preprint in August. It concluded, "The relationships between mortality and both time to plasma transfusion, and antibody levels provide a signature that is consistent with efficacy for the use of convalescent plasma in the treatment of hospitalized COVID-19 patients."
It seemed to work best when given early in infection and in larger doses; a similar pattern has been seen in studies of monoclonal antibodies. A revised version will soon be published in a major medical journal. Some criticized the findings as not being from a randomized clinical trial.
Convalescent plasma is not the only intervention that seems to work better when used earlier in the course of disease. Recently the pharmaceutical company Eli Lilly stopped a clinical trial of a monoclonal antibody in hospitalized COVID-19 patients when it became apparent it wasn't helping. It is continuing trials for patients who are less sick and begin treatment earlier, as well as in persons who have been exposed to the virus but not yet diagnosed as infected, to see if it might prevent infection. In November the FDA eased access to this drug outside of clinical trials, though it is not yet approved for sale.
Show Me the Money
The antibodies that seem to give plasma its curative powers are fragile proteins that the body produces to fight the virus. Production shuts down once the virus is cleared and the remaining antibodies survive only for a few weeks before the levels fade. [Vaccines are used to train immune cells to produce antibodies and other defenses to respond to exposure to future pathogens.] So they can be usefully harvested from a recovered patient for only a few short weeks or months before they decline precipitously. The question becomes, how does one mobilize this resource in that short window of opportunity?
The program run by the Mayo Clinic explains the process and criteria for donating convalescent plasma for COVID-19, as well as links to local blood centers equipped to handle those free donations. Commercial plasma centers also are advertising and paying for donations.
A majority of countries prohibit paying donors for blood or blood products, including India. But an investigation by India Today touted a black market of people willing to donate convalescent plasma for the equivalent of several hundred dollars. Officials vowed to prosecute, saying donations should be selfless.
But that enforcement threat seemed to be undercut when the health minister of the state of Assam declared "plasma donors will get preference in several government schemes including the government job interview." It appeared to be a form of compensation that far surpassed simple cash.
The small city of Rexburg, Idaho, with a population a bit over 50,000, overwhelmingly Mormon and home to a campus of Brigham Young University, at one point had one of the highest per capita rates of COVID-19 in the current wave of infection. Rumors circulated that some students were intentionally trying to become infected so they could later sell their plasma for top dollar, potentially as much as $200 a visit.
Troubled university officials investigated the allegations but could come up with nothing definitive; how does one prove intentionality with such an omnipresent yet elusive virus? They chalked it up to idle chatter, perhaps an urban legend, which might be associated with alcohol use on some other campus.
Doctors, hospitals, and drug companies are all rightly praised for their altruism in the fight against COVID-19, but they also get paid. Payment for whole blood donation in the U.S. is prohibited, and while payment for plasma is allowed, there is a stigma attached to payment and much plasma is donated for free. "Why do we expect the donors [of convalescent plasma] to be the only uncompensated people in the process? It really makes no sense," argues Mark Yarborough, an ethicist at the UC Davis School of Medicine in Sacramento.
"When I was in grad school, two of my closest friends, at least once a week they went and gave plasma. That was their weekend spending money," Yarborough recalls. He says upper and middle-income people may have the luxury of donating blood products but prohibiting people from selling their plasma is a bit paternalistic and doesn't do anything to improve the economic status of poor people.
"Asking people to dedicate two hours a week for an entire year in exchange for cookies and milk is demonstrably asking too much," says Peter Jaworski, an ethicist who teaches at Georgetown University.
He notes that companies that pay plasma donors have much lower total costs than do operations that rely solely on uncompensated donations. The companies have to spend less to recruit and retain donors because they increase payments to encourage regular repeat donations. They are able to more rationally schedule visits to maximize use of expensive apheresis equipment and medical personnel used for the collection.
It seems that COVID-19 has been with us forever, but in reality it is less than a year. We have learned much over that short time, can now better manage the disease, and have lower mortality rates to prove it. Just how much convalescent plasma may have contributed to that remains an open question. Access to vaccines is months away for many people, and even then some people will continue to get sick. Given the lack of proven treatments, it makes sense to keep plasma as part of the mix, and not close the door to any legitimate means to obtain it.