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."
Technology is Redefining the Age of 'Older Mothers'
In October 2021, a woman from Gujarat, India, stunned the world when it was revealed she had her first child through in vitro fertilization (IVF) at age 70. She had actually been preceded by a compatriot of hers who, two years before, gave birth to twins at the age of 73, again with the help of IVF treatment. The oldest known mother to conceive naturally lived in the UK; in 1997, Dawn Brooke conceived a son at age 59.
These women may seem extreme outliers, almost freaks of nature; in the US, for example, the average age of first-time mothers is 26. A few decades from now, though, the sight of 70-year-old first-time mothers may not even raise eyebrows, say futurists.
“We could absolutely have more 70-year-old mothers because we are learning how to regulate the aging process better,” says Andrew Hessel, a microbiologist and geneticist, who cowrote "The Genesis Machine," a book about “rewriting life in the age of synthetic biology,” with Amy Webb, the futurist who recently wondered why 70-year-old women shouldn’t give birth.
Technically, we're already doing this, says Hessel, pointing to a technique known as in vitro gametogenesis (IVG). IVG refers to turning adult cells into sperm or egg cells. “You can think of it as the upgrade to IVF,” Hessel says. These vanguard stem cell research technologies can take even skin cells and turn them into induced pluripotent stem cells (iPSCs), which are basically master cells capable of maturing into any human cell, be it kidney cells, liver cells, brain cells or gametes, aka eggs and sperm, says Henry T. “Hank” Greely, a Stanford law professor who specializes in ethical, legal, and social issues in biosciences.
Mothers over 70 will be a minor blip, statistically speaking, Greely predicts.
In 2016, Greely wrote "The End of Sex," a book in which he described the science of making gametes out of iPSCs in detail. Greely says science will indeed enable us to see 70-year-old new mums fraternize with mothers several decades younger at kindergartens in the (not far) future. And it won’t be that big of a deal.
“An awful lot of children all around the world have been raised by grandmothers for millennia. To have 70-year-olds and 30-year-olds mingling in maternal roles is not new,” he says. That said, he doubts that many women will want to have a baby in the eighth decade of their life, even if science allows it. “Having a baby and raising a child is hard work. Even if 1% of all mothers are over 65, they aren’t going to change the world,” Greely says. Mothers over 70 will be a minor blip, statistically speaking, he predicts. But one thing is certain: the technology is here.
And more technologies for the same purpose could be on the way. In March 2021, researchers from Monash University in Melbourne, Australia, published research in Nature, where they successfully reprogrammed skin cells into a three-dimensional cellular structure that was morphologically and molecularly similar to a human embryo–the iBlastoid. In compliance with Australian law and international guidelines referencing the “primitive streak rule," which bans the use of embryos older than 14 days in scientific research, Monash scientists stopped growing their iBlastoids in vitro on day 11.
“The research was both cutting-edge and controversial, because it essentially created a new human life, not for the purpose of a patient who's wanting to conceive, but for basic research,” says Lindsay Wu, a senior lecturer in the School of Medical Sciences at the University of New South Wales (UNSW), in Kensington, Australia. If you really want to make sure what you are breeding is an embryo, you need to let it develop into a viable baby. “This is the real proof in the pudding,'' says Wu, who runs UNSW’s Laboratory for Ageing Research. Then you get to a stage where you decide for ethical purposes you have to abort it. “Fiddling here a bit too much?” he asks. Wu believes there are other approaches to tackling declining fertility due to older age that are less morally troubling.
He is actually working on them. Why would it be that women, who are at peak physical health in almost every other regard, in their mid- to late- thirties, have problems conceiving, asked Wu and his team in a research paper published in 2020 in Cell Reports. The simple answer is the egg cell. An average girl in puberty has between 300,000 and 400,000 eggs, while at around age 37, the same woman has only 25,000 eggs left. Things only go downhill from there. So, what torments the egg cells?
The UNSW team found that the levels of key molecules called NAD+ precursors, which are essential to the metabolism and genome stability of egg cells, decline with age. The team proceeded to add these vitamin-like substances back into the drinking water of reproductively aged, infertile lab mice, which then had babies.
“It's an important proof of concept,” says Wu. He is investigating how safe it is to replicate the experiment with humans in two ongoing studies. The ultimate goal is to restore the quality of egg cells that are left in patients in their late 30s and early- to mid-40s, says Wu. He sees the goal of getting pregnant for this age group as less ethically troubling, compared to 70-year-olds.
But what is ethical, anyway? “It is a tricky word,” says Hessel. He differentiates between ethics, which represent a personal position and may, thus, be more transient, and morality, longer lasting principles embraced across society such as, “Thou shalt not kill.” Unprecedented advances often bring out fear and antagonism until time passes and they just become…ordinary. When IVF pioneer Landrum Shettles tried to perform IVF in 1973, the chairman of Columbia’s College of Physicians and Surgeons interdicted the procedure at the last moment. Almost all countries in the world have IVF clinics today, and the global IVF services market is clearly a growth industry.
Besides, you don’t have a baby at 70 by accident: you really want it, Greely and Hessel agree. And by that age, mothers may be wiser and more financially secure, Hessel says (though he is quick to add that even the pregnancy of his own wife, who had her child at 40, was a high-risk one).
As a research question, figuring out whether older mothers are better than younger ones and vice-versa entails too many confounding variables, says Greely. And why should we focus on who’s the better mother anyway? “We've had 70-year-old and 80-year-old fathers forever–why should people have that much trouble getting used to mothers doing the same?” Greely wonders. For some women having a child at an old(er) age would be comforting; maybe that’s what matters.
And the technology to enable older women to have children is already here or coming very soon. That, perhaps, matters even more. Researchers have already created mice–and their offspring–entirely from scratch in the lab. “Doing this to produce human eggs is similar," says Hessel. "It is harder to collect tissues, and the inducing cocktails are different, but steady advances are being made." He predicts that the demand for fertility treatments will keep financing research and development in the area. He says that big leaps will be made if ethical concerns don’t block them: it is not far-fetched to believe that the first baby produced from lab-grown eggs will be born within the next decade.
In an op-ed in 2020 with Stat, Greely argued that we’ve already overcome the technical barrier for human cloning, but no one's really talking about it. Likewise, scientists are also working on enabling 70-year-old women to have babies, says Hessel, but most commentators are keeping really quiet about it. At least so far.
New Cell Therapies Give Hope to Diabetes Patients
For nearly four decades, George Huntley has thought constantly about his diabetes. Diagnosed in 1983 with Type 1 (insulin-dependent) diabetes, Huntley began managing his condition with daily finger sticks to check his blood glucose levels and doses of insulin that he injected into his abdomen. Even now, with an insulin pump and a device that continuously monitors his glucose, he must consider how every meal will affect his blood sugar, checking his monitor multiple times each hour.
Like many of those who depend on insulin injections, Huntley is simultaneously grateful for the technology that makes his condition easier to manage and tired of thinking about diabetes. If he could wave a magic wand, he says, he would make his diabetes disappear. So when he read about biotechs like ViaCyte and Vertex Pharmaceuticals developing new cell therapies that have the potential to cure Type 1 diabetes, Huntley was excited.
You also won’t see him signing up any time soon. The therapies under development by both companies would require a lifelong regimen of drugs for suppressing the immune system to prevent the body from rejecting the foreign cells. It’s a problem also seen in the transplant of insulin-producing cells of the pancreas – called islet cells – from deceased donors. To Howard Foyt, chief medical officer at ViaCyte, a San Diego-based biotech specializing in the development of cell therapies for diabetes, the tradeoff is worth it.
“A lot of the symptoms of diabetes are not something that you wear on your arm, so to speak. You’re not necessarily conscious of them until you’re successfully treated, and you feel better,” Foyt says.
For many with diabetes, managing these symptoms is a constant game of Whack-a-Mole. “Any form of treatment that gets someone closer to feeling good is a victory,” he says.
“Am I going to be trading diabetes for cancer? That’s not a chance I
want to take."
But not everyone is convinced. What’s more, it’s likely that the availability of these cell therapies will be limited to those with life-threatening diabetes symptoms, such as hypoglycemia unawareness. To Huntley, these therapies remain a bit of a Faustian bargain.
“Am I going to be trading diabetes for cancer? That’s not a chance I want to take,” he says.
The discovery of insulin in 1921 transformed Type 1 diabetes from a death sentence into a potentially manageable condition. Even as better versions of insulin hit the market—ones that weren’t derived from pigs and wouldn’t provoke an allergic response, longer-acting insulin, insulin pens—they didn’t change the reality that those with Type 1 diabetes remained dependent on insulin. Even the most advanced continuous glucose monitors (which tests blood sugar levels every few minutes, 24/7) and insulin pumps don’t perform as well as a healthy pancreas.
Whether by injection or pump, someone with diabetes needs to administer the insulin their body no longer makes. With advances in organ transplantation, the concept of transplanting insulin-producing pancreatic beta cells seemed obvious. After more than a decade of painstaking work, James Shapiro, who directs the Islet Transplant Program at the University of Albania, honed a process called the Edmonton Protocol for pancreas transplants. For a few patients who couldn’t control their blood sugars any other way, the Edmonton Protocol became a life saver. Some of these patients were even able to stop insulin completely, Shapiro says. But the high cost of organ transplant and a chronic shortage of donor organs, pancreas or otherwise, meant that only a small handful of patients could benefit.
Stem cells, however, can be grown in vats, meaning that supply would never be an issue. “We would be going from a very successful treatment of today to a potential cure tomorrow,” Shapiro says.
In 2014, spurred by his own children’s diagnoses with Type 1 Diabetes, stem cell biologist Doug Melton of Harvard University figured out a way to differentiate embryonic stem cells into functional pancreatic beta cells. It was a long process, explains immunoengineer Alice Tomei at the University of Miami, because “the islet is not one cell, it's like a mini-organ that has its own needs.”
Add on the risk of rejection and autoimmunity, and Tomei says that scientists soon realized that chronic and systemic immunosuppression was the only way forward. Over the next several years, Melton improved his approach to yield more cells with fewer impurities. Melton partnered with Boston-based Vertex Pharmaceuticals to create a cell therapy called VX-880.
The first patient received his dose earlier in 2021. In October, Vertex released 90-day results from the Phase 1/2 trial, which revealed the patient was able to reduce his insulin usage from an average of 34 units per day to just 2.9 units per day. The tradeoff is a lifelong need for immunosuppressive drugs to prevent the body from attacking both foreign cells and pancreatic beta cells. It’s what recipients of ViaCyte’s first-gen PEC-Direct will also need. For Foyt, it’s an easy choice.
“At this point in time, immunosuppression is the necessary evil,” he says. “For parents, would you like to worry about going into your child’s bedroom every morning and not knowing if they’re going to be alive or dead? It’s uncommon, but it does occur.”
Not everyone, however, finds the trade-off easy to swallow. Especially with COVID-19 cases reaching record highs, the prospect of reducing his immune function at a time when he needs it most doesn’t sit well with Huntley. The risks of immunosuppression also mean that diabetes cell therapies are limited to those patients with life-threatening complications.
It’s why ViaCyte has created two new iterations of cellular therapies that would eliminate this need. The ViaCyte-Encap contains the cells in a permeable container that allows oxygen, insulin, and nutrients to flow freely but prevents immune system access. Their latest model, PEC-QT, just began safety trials with Shapiro’s lab at the University of Alberta and uses gene editing to eliminate any cellular markers that would trigger an immune response.
Sanjoy Dutta, vice president of research at JDRF International, a nonprofit that funds the study of diabetes, is thrilled with the progress that’s been made around cell therapies, but he cautions it’s still early days. “We have proven that these cells can be made. What we haven’t seen is are they going to work for six months, two years, five years? It’s a challenge we still need to overcome,” he says.
Iowa social worker Jodi Lynn’s concerns echo Dutta’s. Lynn was diagnosed with diabetes in 1998 at age 14 after a bout of severe influenza, spends each day inventorying supplies, planning her food intake, and maintaining her insulin pump and glucose monitor. These newer technologies dramatically improved her blood sugar control but, like everyone with diabetes, Lynn remains at high risk for complications, such as diabetic ketoacidosis, heart disease, vision loss, and kidney failure. Lynn, already considered immunocompromised due to medications she takes for another autoimmune condition, is less concerned with immune suppression than the untested nature of these therapies.
“I want to know that they will work long-term,” she says.