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."
Stem Cell Therapy for COVID-19 Is Gaining Steam in China, But Some Skeptical Scientists Urge Caution
Over the past two months, China's frantic search for an effective COVID-19 treatment has seen doctors trying everything from influenza drugs to traditional herbal remedies and even acupuncture, in a bid to help patients suffering from coronavirus-induced pneumonia.
"This treatment is particularly aimed at older patients who are seriously ill. These kinds of patients are in the danger zone."
Since mid February, one approach that has gained increasing traction is stem cell therapies, treatments that have often been viewed as a potential panacea by desperate patients suffering from degenerative incurable conditions ranging from Parkinson's to ALS. In many of these diseases, reality has yet to match the hype.
In COVID-19, there are hopes it might, though some experts are warning not to count on it. At Beijing's YouAn Hospital, doctors have been treating patients at various stages of the illness with intravenous infusions of so-called mesenchymal stem cells taken from umbilical cord tissue, as part of an ongoing clinical trial since January 21. The outcomes of the initial seven patients – published last month – appeared promising and the trial has since been expanded to 31 patients according to Dr. Kunlin Jin, a researcher at University of North Texas Health Science Center who is collaborating with the doctors in Beijing.
"Sixteen of these patients had mild symptoms, eight are severe, and seven are critically severe," Jin told leapsmag. "But all patients have shown improvements in lung function following the treatment, based on CT scans -- most of them in the first three days and seven have now been completely discharged from hospital. This treatment is particularly aimed at older patients who are seriously ill. These kinds of patients are in the danger zone; it's essential that they receive treatment, but right now we have nothing for most of them. No drugs or anything."
The apparent success of the very small Beijing trial has since led to a nationwide initiative to fast-track stem cell therapies for COVID-19. Across China, there are currently 36 clinical trials intending to use mesenchymal stem cells to treat COVID-19 patients that are either in the planning or recruiting phases. The Chinese Medical Association has now issued guidelines to standardize stem cell treatment for COVID-19, while Zhang Xinmin, an official in China's Ministry of Science and Technology, revealed in a press conference last week that a stem cell-based drug has been approved for clinical trials.
The thinking behind why stem cells could be a fast-acting and effective treatment is due to the nature of COVID-19. The thousands of fatalities worldwide are not from the virus directly, but from a dysfunctional immune response to the infection. Patients die because their respiratory systems become overwhelmed by a storm of inflammatory molecules called cytokines, causing lung damage and failure. However, studies in mice have long shown that stem cells have anti-inflammatory properties with the ability to switch off such cytokine storms, reducing such virus-induced lung injuries.
"There has been an enormous amount of hype about these cells, and there is scant scientific evidence that they have any therapeutic effect in any situation. "
"The therapy can inhibit the overactivation of the immune system and promote repair by improving the pulmonary microenvironment and improve lung function," explained Wei Hou, one of the doctors conducting the trial at YouAn Hospital.
However not everyone is convinced, citing the small number of patients treated to date, and potential risks from such therapy. "We just don't know enough to believe that stem cells might be helpful with COVID-19," said Paul Knoepfler, professor of cell biology at UC Davis. "The new stem cell studies are too small and lack controls, making it impossible to come to any solid conclusions. The chance of benefit is low based on the little we know so far and there are going to be risks that are hard to pin down. For instance, what if a stem cell infusion impairs some kind of needed immune response?"
Other scientists are even more skeptical. "I am concerned about all treatments that use mesenchymal stem cells," warned Jeanne Loring, the Director of the Center for Regenerative Medicine at Scripps Research in La Jolla, Calif. "There has been an enormous amount of hype about these cells, and there is scant scientific evidence that they have any therapeutic effect in any situation. Typically, these treatments are offered to people who have diseases without cures. I'm certain that there will be evidence-based treatments for COVID19, but I understand that they are not yet available, people are desperate, and they will try anything. I hope the sick are not taken advantage of because of their desperation."
Despite such concerns, the steadily rising death toll from COVID-19 means other nations are preparing to proceed with their own clinical trials of mesenchymal stem cells. Jin said he has been contacted by researchers and clinicians around the world seeking information on how to conduct their own trials, with the University of Cambridge's Stem Cell Institute in the U.K. reportedly looking to initiate a trial.
The scale of the global emergency has seen governments repeatedly calling on the corporate world to invest in the search for a cure, and the Australian company Mesoblast – a global leader in cell-based therapies for a range of diseases – are expecting to receive the green light to initiate clinical trials of their own stem cell based product against COVID-19.
"We're talking to at least three major governments," said Silviu Itescu, CEO and Managing Director of Mesoblast. "We are working with groups in Australia, the U.S. and the U.K., and I expect there'll be trials starting imminently in all those jurisdictions."
Itescu is bullish that the therapy has a good chance of proving effective, as it recently successfully completed Phase III trials for severe steroid-refractory acute graft versus host disease (GVHD) – a condition which leads to a very similar disease profile to COVID-19.
"The exact same cytokine profile is occurring in the lungs of COVID-19 infected patients as in GVHD which is destructive to the local lung environment," he said. "If our cells are able to target that in GVHD, they ought to be able to switch off the cytokine response in COVID lung disease as well."
"What we should be focusing on now is not the possible boost to the stem cell field, but rather doing rigorous science to test whether stem cells can help COVID-19 patients."
Jin is hopeful that if the imminent trials yield successful results, the U.S. FDA could fast-track mesenchymal stem cells as an approved emergency therapy for COVID-19. However, Knoepfler cautions that there is a need for far more concrete and widespread proof of the benefit before regulatory bodies start ushering through the green light.
"What we should be focusing on now is not the possible boost to the stem cell field, but rather doing rigorous science to test whether stem cells can help COVID-19 patients," he said. "During a pandemic, it's reasonable to do some testing of unproven interventions like stem cells in small studies, but results from them should be discussed in a sober, conservative manner until there is more evidence."
BREAKING: The First U.S. Test to Detect If a Person Has Potential Immunity to COVID-19 Was Just Developed
While testing for COVID-19 ramps up around the country, there's another kind of testing that will prove equally important to combating the pandemic: one that can detect whether someone has already been infected.
"The idea is that this assay can be established anywhere in the world following these steps."
Why is this important? As former FDA commissioner Scott Gottlieb wrote in today's Wall Street Journal: "If a sizable portion of a local community has some protection, authorities can be more confident in relying less on invasive measures. Once deployed, serological tests are cheap, straightforward, and easy to scale."
Now, a microbiology lab at the Icahn School of Medicine at Mount Sinai, led by Dr. Florian Krammer, has just announced the development of this serological test. Leapsmag spoke with Daniel Stadlbauer, a post-doctoral fellow in the lab who helped lead the work.
Is yours the first serological test available?
They did something similar in South Korea. In the U.S., it's the first of these tests.
How close are we to rolling this test out to the public?
Last week, we started this process and we finished the protocol today. Mount Sinai is trying to roll this out in the next few days in the clinic to see which patients have been infected with coronavirus recently or have been infected at all.
The protocol we uploaded today can be used as a template for other research labs or hospitals to follow the steps we provided and they should then be able to set up the antibody test. The idea is that this assay can be established anywhere in the world following these steps.
Are there any bottlenecks to getting this rolled out – supply chain or regulation obstacles?
There are no regulations that say you can't do it. Research labs and hospitals for sure can do it. I'm not aware of supply chain issues because you need basic lab equipment and materials, but I don't think those are in short supply right now.
How does the test work?
People coming to the hospital who are suspected to have infection with coronavirus, their blood gets taken routinely. This blood can be used for our test, too. The test will tell you if this person has antibodies against coronavirus. You can also test the blood of people who are not currently sick to see if this person was infected, say, a month ago. If there are antibodies in the blood, you can say this person is probably immune to getting it again.
It will be essential workers who need to be tested first, like nurses, firefighters, and doctors. It will be great to know that they would not put themselves or others at risk by going back to work because they cannot spread the disease.
"People probably cannot get reinfected once they mount a good immune response and have good antibody levels."
How soon after infection does the test detect if you have antibodies?
Usually after 7 days of infection.
How long do the antibodies last to confer immunity?
Those studies need to be done – right now it's unclear. People probably cannot get reinfected once they mount a good immune response and have good antibody levels. How long those level last still needs to be investigated. But they won't get reinfected in the next, I would say, six months.
How accurate is the test?
Very accurate. The advantage – which is bad for us but good for the test – is that humans have no baseline immunity to this coronavirus. It means that when you have not been infected, you have pretty much no antibodies, which is why it can spread so easily. But once you have antibodies in your blood, we can detect them and it's a clear difference between antibodies or no antibodies.
Where should hospitals and labs go for more information on how to build their own tests from your work?
They should check out our lab website to find the detailed protocol to download.
If I am a person who just wants to take this test to find out if I've already been infected, what should I do?
It will be done soon in the clinical setting. I don't know yet how widely it will be available. The more research labs and hospitals that set up this testing, the more people who can be tested in the future.
Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.