Breast Cancer ICYMI

A new model for predicting breast cancer risk that is based on standard clinical measures could be used to develop personalized breast screening strategies that are more effective than the current “one size fits all” approach, say researchers.

“Several breast cancer risk prediction models have been created, but we believe this is one of the first models designed to guide breast screening strategies over a person’s lifetime using real data from a screening program,” said study author Javier Louro, PhD, Hospital del Mar Medical Research Institute, Barcelona, Spain.

“Our model might be considered a key for designing personalized screening aimed at reducing the harms and increasing the benefits of mammographic screening,” he said in a statement.

Someone with a low risk “might be offered screening with standard mammography every 3 or 4 years instead of 2 years,” Dr. Louro explained.

“Someone with medium risk might be offered screening with advanced 3D mammography every 3 years, while those at a high risk might be offered a new screening test with mammography or MRI every year.”

However, he cautioned that “all of these strategies are still theoretical and should be studied with regard to their effectiveness.”

Dr. Louro was talking about the new model at the 13th European Breast Cancer Conference.
 

Details of the new prediction model

To develop the new model, Louro and colleagues conducted a retrospective study of 57,411 women who underwent mammography in four counties in Norway between 2007 and 2019 as part of the BreastScreen Norway program, and followed them up to 2022.

The team gathered data on age, breast density, family history of breast cancer, body mass index, age at menarche, alcohol habit, exercise, pregnancy, hormone replacement therapy, and benign breast disease, and compared women with and those without a breast cancer diagnosis.

All of these 10 variables used were found to significantly explain part of the variability in the breast cancer risk.

Overall, the 4-year breast cancer risk predicted by the resulting model varied across the participants, from 0.22% to 7.43%, at a median of 1.10%.

Bootstrap resampling analysis revealed that the model overestimated the risk for breast cancer, at an expected-to-observed ratio of 1.10.

The largest effect on risk was from breast density on mammography. Women with dense breasts were at much higher risk: the adjusted hazard ratio was 1.71 for women with Volpara Density Grade 4 vs Grade 2 and was 1.37 when compared with Grade 3.

Exercise had a large impact on breast cancer risk, the researchers found. Women who exercised for 4 or more hours per week had an adjusted hazard ratio of 0.65 for breast cancer risk compared with women who never exercised. Although this effect of exercise reducing the risk for breast cancer is now widely known, it is not usually included in models that predict breast cancer risk, the team pointed out.

The team concluded that their prediction model could be used to personalize breast screening for women according to their risk assessment, although they acknowledge that more work is needed. This work is based on one screening program in one country, and similar studies in different settings are needed.

Reacting to the findings, Laura Biganzoli, MD, co-chair of the European Breast Cancer Conference and director of the Breast Centre at Santo Stefano Hospital, Prato, Italy, commented, “We know that breast screening programs are beneficial, but we also know that some people will experience potential harms caused by false-positives or overdiagnosis.”

“This research shows how we might be able to identify people with a high risk of breast cancer, but equally how we could identify those with a low risk. So it’s an important step toward personalized screening,” Dr. Biganzoli said.

This study was supported by a grant from Instituto de Salud Carlos III FEDER (grant PI/00047). No relevant financial relationships declared.

A version of this article first appeared on Medscape.com.

A new model for predicting breast cancer risk that is based on standard clinical measures could be used to develop personalized breast screening strategies that are more effective than the current “one size fits all” approach, say researchers.

“Several breast cancer risk prediction models have been created, but we believe this is one of the first models designed to guide breast screening strategies over a person’s lifetime using real data from a screening program,” said study author Javier Louro, PhD, Hospital del Mar Medical Research Institute, Barcelona, Spain.

“Our model might be considered a key for designing personalized screening aimed at reducing the harms and increasing the benefits of mammographic screening,” he said in a statement.

Someone with a low risk “might be offered screening with standard mammography every 3 or 4 years instead of 2 years,” Dr. Louro explained.

“Someone with medium risk might be offered screening with advanced 3D mammography every 3 years, while those at a high risk might be offered a new screening test with mammography or MRI every year.”

However, he cautioned that “all of these strategies are still theoretical and should be studied with regard to their effectiveness.”

Dr. Louro was talking about the new model at the 13th European Breast Cancer Conference.
 

Details of the new prediction model

To develop the new model, Louro and colleagues conducted a retrospective study of 57,411 women who underwent mammography in four counties in Norway between 2007 and 2019 as part of the BreastScreen Norway program, and followed them up to 2022.

The team gathered data on age, breast density, family history of breast cancer, body mass index, age at menarche, alcohol habit, exercise, pregnancy, hormone replacement therapy, and benign breast disease, and compared women with and those without a breast cancer diagnosis.

All of these 10 variables used were found to significantly explain part of the variability in the breast cancer risk.

Overall, the 4-year breast cancer risk predicted by the resulting model varied across the participants, from 0.22% to 7.43%, at a median of 1.10%.

Bootstrap resampling analysis revealed that the model overestimated the risk for breast cancer, at an expected-to-observed ratio of 1.10.

The largest effect on risk was from breast density on mammography. Women with dense breasts were at much higher risk: the adjusted hazard ratio was 1.71 for women with Volpara Density Grade 4 vs Grade 2 and was 1.37 when compared with Grade 3.

Exercise had a large impact on breast cancer risk, the researchers found. Women who exercised for 4 or more hours per week had an adjusted hazard ratio of 0.65 for breast cancer risk compared with women who never exercised. Although this effect of exercise reducing the risk for breast cancer is now widely known, it is not usually included in models that predict breast cancer risk, the team pointed out.

The team concluded that their prediction model could be used to personalize breast screening for women according to their risk assessment, although they acknowledge that more work is needed. This work is based on one screening program in one country, and similar studies in different settings are needed.

Reacting to the findings, Laura Biganzoli, MD, co-chair of the European Breast Cancer Conference and director of the Breast Centre at Santo Stefano Hospital, Prato, Italy, commented, “We know that breast screening programs are beneficial, but we also know that some people will experience potential harms caused by false-positives or overdiagnosis.”

“This research shows how we might be able to identify people with a high risk of breast cancer, but equally how we could identify those with a low risk. So it’s an important step toward personalized screening,” Dr. Biganzoli said.

This study was supported by a grant from Instituto de Salud Carlos III FEDER (grant PI/00047). No relevant financial relationships declared.

A version of this article first appeared on Medscape.com.

A new model for predicting breast cancer risk that is based on standard clinical measures could be used to develop personalized breast screening strategies that are more effective than the current “one size fits all” approach, say researchers.

“Several breast cancer risk prediction models have been created, but we believe this is one of the first models designed to guide breast screening strategies over a person’s lifetime using real data from a screening program,” said study author Javier Louro, PhD, Hospital del Mar Medical Research Institute, Barcelona, Spain.

“Our model might be considered a key for designing personalized screening aimed at reducing the harms and increasing the benefits of mammographic screening,” he said in a statement.

Someone with a low risk “might be offered screening with standard mammography every 3 or 4 years instead of 2 years,” Dr. Louro explained.

“Someone with medium risk might be offered screening with advanced 3D mammography every 3 years, while those at a high risk might be offered a new screening test with mammography or MRI every year.”

However, he cautioned that “all of these strategies are still theoretical and should be studied with regard to their effectiveness.”

Dr. Louro was talking about the new model at the 13th European Breast Cancer Conference.
 

Details of the new prediction model

To develop the new model, Louro and colleagues conducted a retrospective study of 57,411 women who underwent mammography in four counties in Norway between 2007 and 2019 as part of the BreastScreen Norway program, and followed them up to 2022.

The team gathered data on age, breast density, family history of breast cancer, body mass index, age at menarche, alcohol habit, exercise, pregnancy, hormone replacement therapy, and benign breast disease, and compared women with and those without a breast cancer diagnosis.

All of these 10 variables used were found to significantly explain part of the variability in the breast cancer risk.

Overall, the 4-year breast cancer risk predicted by the resulting model varied across the participants, from 0.22% to 7.43%, at a median of 1.10%.

Bootstrap resampling analysis revealed that the model overestimated the risk for breast cancer, at an expected-to-observed ratio of 1.10.

The largest effect on risk was from breast density on mammography. Women with dense breasts were at much higher risk: the adjusted hazard ratio was 1.71 for women with Volpara Density Grade 4 vs Grade 2 and was 1.37 when compared with Grade 3.

Exercise had a large impact on breast cancer risk, the researchers found. Women who exercised for 4 or more hours per week had an adjusted hazard ratio of 0.65 for breast cancer risk compared with women who never exercised. Although this effect of exercise reducing the risk for breast cancer is now widely known, it is not usually included in models that predict breast cancer risk, the team pointed out.

The team concluded that their prediction model could be used to personalize breast screening for women according to their risk assessment, although they acknowledge that more work is needed. This work is based on one screening program in one country, and similar studies in different settings are needed.

Reacting to the findings, Laura Biganzoli, MD, co-chair of the European Breast Cancer Conference and director of the Breast Centre at Santo Stefano Hospital, Prato, Italy, commented, “We know that breast screening programs are beneficial, but we also know that some people will experience potential harms caused by false-positives or overdiagnosis.”

“This research shows how we might be able to identify people with a high risk of breast cancer, but equally how we could identify those with a low risk. So it’s an important step toward personalized screening,” Dr. Biganzoli said.

This study was supported by a grant from Instituto de Salud Carlos III FEDER (grant PI/00047). No relevant financial relationships declared.

A version of this article first appeared on Medscape.com.

A woman who had breast cancer for 23 years, and who had gone through 12 different lines of therapy, has shown a dramatic response to a novel cancer vaccine in a clinical trial.

A recent 6-month follow-up showed no evidence of new or recurrent disease, and scans showed regression of a distant bulky left adrenal metastasis, as well as at other sites.

A small site of residual hypermetabolism remains in the sternum, but this is thought to be related to scar tissue.

The patient, Stephanie Gangi, told Medscape Medical News that, before she entered into the trial for the novel cancer vaccine, she was “mentally and physically exhausted.” She had benefited from being diagnosed with hormone-positive breast cancer just as its treatment was evolving and progressing, which meant that, every time a treatment failed, “there was the next thing to try, which was great and kept me going.”

“But I will admit that, by age 66, and more than 20 years of cancer treatments, I was exhausted.”

Ms. Gangi, a New York City-based poet, essayist, and fiction writer, said she was “cautiously optimistic” about the cancer vaccine, but the “overriding thought was I wanted to avoid chemotherapy.”

“I was not really signing on for great outcomes, I was signing on for something that might keep chemo at bay. The biggest impact so far for me has been that, for the first time in more than a decade, I am not on any medication. That’s really amazing…and that means no side effects,” she said.

Ms. Gangi stopped the vaccine treatment this past July, and just over 3 months later, she is still “wrapping her head around” the fact that her cancer has regressed. “I’ve had breast cancer a long time,” she said, “and you can’t just snap your fingers and be fine.”

Although the two scans that she has had since the trial ended have been “astonishing,” she underlined that this is not about a ‘cure,’ but rather “clearing tumors for the first time in many years.”

“Cancer is sneaky and sinister, and it figures out how to circumvent all kinds of treatments,” she said, adding nevertheless that she is “happy and hopeful, and my family is thrilled, of course.”

Ms. Gangi was classed as having had a partial response to the cancer vaccine, one of a few in a small phase 1/2 trial at the Icahn School of Medicine at Mount Sinai in New York. One other patient also had a partial response, and one patient had a complete response.

However, six patients have progressive disease, and one has stable disease.  

These results come from an interim analysis of 10 patients from the trial, and show a 30% response rate. They were presented at the recent annual meeting of the Society for Immunotherapy of Cancer.

The vaccine that was being tested combines local low-dose radiation, intramural Flt3L, which stimulates dendritic cells, and intravenous poly-ICLC, an immune stimulating factor, with the PD-1 inhibitor pembrolizumab (Keytruda).

The result is that, instead of making a vaccine in a laboratory and administering it, “we’re actually formulating it within the body,” lead author Thomas Marron, MD, PhD, professor of medicine (hematology and medical oncology) at Mount Sinai, said in an interview.

“What people don’t realize,” he said, is that bulky tumor sites contain “a lot of dead tumor, because they grow so fast and in a haphazard way.” This means that the immune system can be recruited to recognize the dead tumor and “gobble up the dead stuff that’s already there,” he added.

The hope is that the immune system will then kill not only “the tumor you are injecting into, but also tumors elsewhere in the body,” Dr. Marron said. “So you’re basically using your body’s own immune system and on and off switches to vaccinate the patient against their cancer.”

Another patient in the trial who had a complete response to the vaccine was William Morrison, with non-Hodgkin lymphoma (NHL).

Mr. Morrison was diagnosed in 2017, at which time he was enrolled onto a phase 1 trial of an earlier version of this novel vaccine treatment regimen. “Basically, they didn’t get the results they were hoping for, and I still had the lymphoma,” he said. In 2018, his indolent follicular lymphoma transformed into an aggressive diffuse large B-cell lymphoma, for which Mr. Morrison was given six cycles of chemotherapy. This put him into remission and cleared his lymphoma.

“But the remission lasted for maybe a little over a year,” he said.

The cancer came back, and at that point he was given the opportunity to enroll in the Mount Sinai trial. At the end of the treatment, “everything was clear.”

“I’ve been for PET scans every 6 months, and I just had a scan done the other week, and everything has been fine…I’ve been pretty excited. I was pretty lucky.”

“This recent one really has worked wonders,” he said, “When they gave me the good news the other day. I felt like a big weight had been lifted.”

Mr. Morrison also said that he did not experience any serious adverse events while being treated with the vaccine. “Other than a few minor things, I tolerated it pretty well,” he said.

In contrast, Ms. Gangi said she experienced “intense” flu-like symptoms that started in the first few days after the treatment and lasted for a couple of days.
 

Need to improve response rate

The current trial achieved responses in 30% of patients, which “is great, [but] we want to be at 100%,” said Dr. Marron.

“What we’re doing in the laboratory right now is using this as an opportunity to study what it is that’s special about those three people who responded and what’s not happening in the other seven people, and we have some initial data that we’re analyzing,” he said.

“We are seeing that the patients who responded have a much more robust response to the Ft3L in particular…and that could suggest that maybe we need a better Ft3L, or we could think about other ways to potentially manipulate this vaccine.

“Most of the patients who are referred to me are people who have run out of options…and that usually means they’ve had many different types of chemotherapy,” Dr. Marron commented. For example, Ms. Gangi had already been through 12 different chemotherapy regimens.

Chemotherapy suppresses the immune system, but it’s not only that — also having an effect are all the other treatments aimed at reducing nausea and allergic reactions to the anti-cancer therapy, Dr. Marron explained.

“By the time that I see a patient,” Dr. Marron said, “oftentimes their immune system is not optimal. So another way in which we would hope to see better responses is by moving this vaccine earlier in the treatment paradigm, and administering it to patients as their first or second treatment.”

Senior author Joshua Brody, MD, director of the Lymphoma Immunotherapy Program at Mount Sinai’s Tisch Cancer Institute, added that it “might be easy” to incorporate the vaccine into earlier lines of therapy.

He said in an interview that both immunotherapy and radiation therapy are “standard” treatments, and the key is “adding multiple ingredients together that don’t have cumulative toxicity.”

“You can’t just chemo one plus chemo two, because they have some of the same toxicities, but the delightful thing here is this therapy had been quite safe.

“So in theory it would be fairly easy to incorporate this into earlier lines of therapy, once we can get a bit more proof of principle,” Dr. Brody said.

Approached for comment, Ann W. Silk, MD, said that the results are “particularly impressive because we know anti-PD-1 plus radiation therapy does not work in hormone-positive breast cancer or lymphoma.”

Dr. Silk, an oncologist at the Dana-Farber Cancer Institute and assistant professor of medicine at Harvard Medical School in Boston, said in an interview that one advantage of this vaccine is that it “is not restricted to a certain number of antigens and does not rely on an algorithm.”

“I would love to see more data in hormone-positive metastatic breast cancer patients,” she added. “I would use this approach after the hormonal treatments stop working, but before chemotherapy.”

Dr. Silk also said that the safety profile “looks quite good, and I imagine this approach would result in a much better quality of life for patients as compared to chemotherapy.”
 

Details of the trial and results

The Mount Sinai researchers had previously developed a personalized genomic cancer vaccine, PGV-001, which showed promise in a phase 1 trial in 13 patients with solid tumors or multiple myeloma and a high risk of recurrence after surgery or autologous stem cell transplant.

Next, they worked to develop the concept further to turn the tumor into its own vaccine, which involved inducing anti-tumor responses in indolent NHL, which typically responds poorly to checkpoint blockade, by combining Ft3L, low-dose irradiation, and poly-ICLC.

The next phase 1 trial showed that this approach was feasible, but preclinical modeling suggested that the addition of PD-1 blockade could improve the cure rates. The researchers therefore conducted the current trial, recruiting 10 patients with indolent NHL, metastatic breast cancer, or head and neck squamous cell carcinoma (HNSCC).

Patients were given local radiation therapy on days 1 and 2, and intramural Ft3L to the same tumor on day 9, followed by eight intravenous injections of poly-ICLC over 6 weeks. On day 23, they received their first of eight doses of pembrolizumab.

Dr. Marron explained that the radiotherapy increases the amount of dead material for the immune system to work on by “killing some of the tumor cells,” adding: “We’re not trying to kill the whole tumor with the radiation…it just starts the process of releasing some more of that dead stuff.”

He explained that Ft3L is a human growth factor that simulates dendritic cells, “which I always say are the professor cells of the immune system,” as they tell the body “what’s good and what’s bad.”

The poly-ICLC is “basically like a fake virus,” Dr. Marron said, as it “turns on those immune cells that have taken up the tumor antigen in the neighborhood” of the tumor, so they “teach the immune system that there is something bad”.

Finally, the pembrolizumab is there to “take the foot off the brake of the immune system” and “grease the wheels a bit more,” he added, even though it does not work in all patients, or in all tumor types, including indolent NHL.

The trial was planned in two phases. In the first part, six patients were enrolled to assess the safety of the approach; the phase 2 stage of the trial followed a Simon’s Two-Stage design, with the aim of recruiting seven patients of each tumor type, followed by a further 12 patients if they showed a response.

The current interim analysis that was presented at the SITC meeting focused on the first 10 patients in the phase 2 part, who were enrolled between April 2019 and July 2022. This included six patients with metastatic breast cancer, three with indolent NHL, and one with HNSCC, all of whom completed their first disease response assessment.

All patients experienced treatment-related adverse events, largely comprising low-grade injection site reactions and flu-like symptoms linked to the poly-ICLC injections.

One patient experienced grade 3 pembrolizumab-related colitis, while another had self-resolving grade 3 fever following poly-ICLC injection.

The study was sponsored by Icahn School of Medicine at Mount Sinai and conducted in collaboration with Merck Sharp & Dohme LLC and Celldex Therapeutics. No relevant financial relationships were reported.

A version of this article first appeared on Medscape.com.

A woman who had breast cancer for 23 years, and who had gone through 12 different lines of therapy, has shown a dramatic response to a novel cancer vaccine in a clinical trial.

A recent 6-month follow-up showed no evidence of new or recurrent disease, and scans showed regression of a distant bulky left adrenal metastasis, as well as at other sites.

A small site of residual hypermetabolism remains in the sternum, but this is thought to be related to scar tissue.

The patient, Stephanie Gangi, told Medscape Medical News that, before she entered into the trial for the novel cancer vaccine, she was “mentally and physically exhausted.” She had benefited from being diagnosed with hormone-positive breast cancer just as its treatment was evolving and progressing, which meant that, every time a treatment failed, “there was the next thing to try, which was great and kept me going.”

“But I will admit that, by age 66, and more than 20 years of cancer treatments, I was exhausted.”

Ms. Gangi, a New York City-based poet, essayist, and fiction writer, said she was “cautiously optimistic” about the cancer vaccine, but the “overriding thought was I wanted to avoid chemotherapy.”

“I was not really signing on for great outcomes, I was signing on for something that might keep chemo at bay. The biggest impact so far for me has been that, for the first time in more than a decade, I am not on any medication. That’s really amazing…and that means no side effects,” she said.

Ms. Gangi stopped the vaccine treatment this past July, and just over 3 months later, she is still “wrapping her head around” the fact that her cancer has regressed. “I’ve had breast cancer a long time,” she said, “and you can’t just snap your fingers and be fine.”

Although the two scans that she has had since the trial ended have been “astonishing,” she underlined that this is not about a ‘cure,’ but rather “clearing tumors for the first time in many years.”

“Cancer is sneaky and sinister, and it figures out how to circumvent all kinds of treatments,” she said, adding nevertheless that she is “happy and hopeful, and my family is thrilled, of course.”

Ms. Gangi was classed as having had a partial response to the cancer vaccine, one of a few in a small phase 1/2 trial at the Icahn School of Medicine at Mount Sinai in New York. One other patient also had a partial response, and one patient had a complete response.

However, six patients have progressive disease, and one has stable disease.  

These results come from an interim analysis of 10 patients from the trial, and show a 30% response rate. They were presented at the recent annual meeting of the Society for Immunotherapy of Cancer.

The vaccine that was being tested combines local low-dose radiation, intramural Flt3L, which stimulates dendritic cells, and intravenous poly-ICLC, an immune stimulating factor, with the PD-1 inhibitor pembrolizumab (Keytruda).

The result is that, instead of making a vaccine in a laboratory and administering it, “we’re actually formulating it within the body,” lead author Thomas Marron, MD, PhD, professor of medicine (hematology and medical oncology) at Mount Sinai, said in an interview.

“What people don’t realize,” he said, is that bulky tumor sites contain “a lot of dead tumor, because they grow so fast and in a haphazard way.” This means that the immune system can be recruited to recognize the dead tumor and “gobble up the dead stuff that’s already there,” he added.

The hope is that the immune system will then kill not only “the tumor you are injecting into, but also tumors elsewhere in the body,” Dr. Marron said. “So you’re basically using your body’s own immune system and on and off switches to vaccinate the patient against their cancer.”

Another patient in the trial who had a complete response to the vaccine was William Morrison, with non-Hodgkin lymphoma (NHL).

Mr. Morrison was diagnosed in 2017, at which time he was enrolled onto a phase 1 trial of an earlier version of this novel vaccine treatment regimen. “Basically, they didn’t get the results they were hoping for, and I still had the lymphoma,” he said. In 2018, his indolent follicular lymphoma transformed into an aggressive diffuse large B-cell lymphoma, for which Mr. Morrison was given six cycles of chemotherapy. This put him into remission and cleared his lymphoma.

“But the remission lasted for maybe a little over a year,” he said.

The cancer came back, and at that point he was given the opportunity to enroll in the Mount Sinai trial. At the end of the treatment, “everything was clear.”

“I’ve been for PET scans every 6 months, and I just had a scan done the other week, and everything has been fine…I’ve been pretty excited. I was pretty lucky.”

“This recent one really has worked wonders,” he said, “When they gave me the good news the other day. I felt like a big weight had been lifted.”

Mr. Morrison also said that he did not experience any serious adverse events while being treated with the vaccine. “Other than a few minor things, I tolerated it pretty well,” he said.

In contrast, Ms. Gangi said she experienced “intense” flu-like symptoms that started in the first few days after the treatment and lasted for a couple of days.
 

Need to improve response rate

The current trial achieved responses in 30% of patients, which “is great, [but] we want to be at 100%,” said Dr. Marron.

“What we’re doing in the laboratory right now is using this as an opportunity to study what it is that’s special about those three people who responded and what’s not happening in the other seven people, and we have some initial data that we’re analyzing,” he said.

“We are seeing that the patients who responded have a much more robust response to the Ft3L in particular…and that could suggest that maybe we need a better Ft3L, or we could think about other ways to potentially manipulate this vaccine.

“Most of the patients who are referred to me are people who have run out of options…and that usually means they’ve had many different types of chemotherapy,” Dr. Marron commented. For example, Ms. Gangi had already been through 12 different chemotherapy regimens.

Chemotherapy suppresses the immune system, but it’s not only that — also having an effect are all the other treatments aimed at reducing nausea and allergic reactions to the anti-cancer therapy, Dr. Marron explained.

“By the time that I see a patient,” Dr. Marron said, “oftentimes their immune system is not optimal. So another way in which we would hope to see better responses is by moving this vaccine earlier in the treatment paradigm, and administering it to patients as their first or second treatment.”

Senior author Joshua Brody, MD, director of the Lymphoma Immunotherapy Program at Mount Sinai’s Tisch Cancer Institute, added that it “might be easy” to incorporate the vaccine into earlier lines of therapy.

He said in an interview that both immunotherapy and radiation therapy are “standard” treatments, and the key is “adding multiple ingredients together that don’t have cumulative toxicity.”

“You can’t just chemo one plus chemo two, because they have some of the same toxicities, but the delightful thing here is this therapy had been quite safe.

“So in theory it would be fairly easy to incorporate this into earlier lines of therapy, once we can get a bit more proof of principle,” Dr. Brody said.

Approached for comment, Ann W. Silk, MD, said that the results are “particularly impressive because we know anti-PD-1 plus radiation therapy does not work in hormone-positive breast cancer or lymphoma.”

Dr. Silk, an oncologist at the Dana-Farber Cancer Institute and assistant professor of medicine at Harvard Medical School in Boston, said in an interview that one advantage of this vaccine is that it “is not restricted to a certain number of antigens and does not rely on an algorithm.”

“I would love to see more data in hormone-positive metastatic breast cancer patients,” she added. “I would use this approach after the hormonal treatments stop working, but before chemotherapy.”

Dr. Silk also said that the safety profile “looks quite good, and I imagine this approach would result in a much better quality of life for patients as compared to chemotherapy.”
 

Details of the trial and results

The Mount Sinai researchers had previously developed a personalized genomic cancer vaccine, PGV-001, which showed promise in a phase 1 trial in 13 patients with solid tumors or multiple myeloma and a high risk of recurrence after surgery or autologous stem cell transplant.

Next, they worked to develop the concept further to turn the tumor into its own vaccine, which involved inducing anti-tumor responses in indolent NHL, which typically responds poorly to checkpoint blockade, by combining Ft3L, low-dose irradiation, and poly-ICLC.

The next phase 1 trial showed that this approach was feasible, but preclinical modeling suggested that the addition of PD-1 blockade could improve the cure rates. The researchers therefore conducted the current trial, recruiting 10 patients with indolent NHL, metastatic breast cancer, or head and neck squamous cell carcinoma (HNSCC).

Patients were given local radiation therapy on days 1 and 2, and intramural Ft3L to the same tumor on day 9, followed by eight intravenous injections of poly-ICLC over 6 weeks. On day 23, they received their first of eight doses of pembrolizumab.

Dr. Marron explained that the radiotherapy increases the amount of dead material for the immune system to work on by “killing some of the tumor cells,” adding: “We’re not trying to kill the whole tumor with the radiation…it just starts the process of releasing some more of that dead stuff.”

He explained that Ft3L is a human growth factor that simulates dendritic cells, “which I always say are the professor cells of the immune system,” as they tell the body “what’s good and what’s bad.”

The poly-ICLC is “basically like a fake virus,” Dr. Marron said, as it “turns on those immune cells that have taken up the tumor antigen in the neighborhood” of the tumor, so they “teach the immune system that there is something bad”.

Finally, the pembrolizumab is there to “take the foot off the brake of the immune system” and “grease the wheels a bit more,” he added, even though it does not work in all patients, or in all tumor types, including indolent NHL.

The trial was planned in two phases. In the first part, six patients were enrolled to assess the safety of the approach; the phase 2 stage of the trial followed a Simon’s Two-Stage design, with the aim of recruiting seven patients of each tumor type, followed by a further 12 patients if they showed a response.

The current interim analysis that was presented at the SITC meeting focused on the first 10 patients in the phase 2 part, who were enrolled between April 2019 and July 2022. This included six patients with metastatic breast cancer, three with indolent NHL, and one with HNSCC, all of whom completed their first disease response assessment.

All patients experienced treatment-related adverse events, largely comprising low-grade injection site reactions and flu-like symptoms linked to the poly-ICLC injections.

One patient experienced grade 3 pembrolizumab-related colitis, while another had self-resolving grade 3 fever following poly-ICLC injection.

The study was sponsored by Icahn School of Medicine at Mount Sinai and conducted in collaboration with Merck Sharp & Dohme LLC and Celldex Therapeutics. No relevant financial relationships were reported.

A version of this article first appeared on Medscape.com.

A woman who had breast cancer for 23 years, and who had gone through 12 different lines of therapy, has shown a dramatic response to a novel cancer vaccine in a clinical trial.

A recent 6-month follow-up showed no evidence of new or recurrent disease, and scans showed regression of a distant bulky left adrenal metastasis, as well as at other sites.

A small site of residual hypermetabolism remains in the sternum, but this is thought to be related to scar tissue.

The patient, Stephanie Gangi, told Medscape Medical News that, before she entered into the trial for the novel cancer vaccine, she was “mentally and physically exhausted.” She had benefited from being diagnosed with hormone-positive breast cancer just as its treatment was evolving and progressing, which meant that, every time a treatment failed, “there was the next thing to try, which was great and kept me going.”

“But I will admit that, by age 66, and more than 20 years of cancer treatments, I was exhausted.”

Ms. Gangi, a New York City-based poet, essayist, and fiction writer, said she was “cautiously optimistic” about the cancer vaccine, but the “overriding thought was I wanted to avoid chemotherapy.”

“I was not really signing on for great outcomes, I was signing on for something that might keep chemo at bay. The biggest impact so far for me has been that, for the first time in more than a decade, I am not on any medication. That’s really amazing…and that means no side effects,” she said.

Ms. Gangi stopped the vaccine treatment this past July, and just over 3 months later, she is still “wrapping her head around” the fact that her cancer has regressed. “I’ve had breast cancer a long time,” she said, “and you can’t just snap your fingers and be fine.”

Although the two scans that she has had since the trial ended have been “astonishing,” she underlined that this is not about a ‘cure,’ but rather “clearing tumors for the first time in many years.”

“Cancer is sneaky and sinister, and it figures out how to circumvent all kinds of treatments,” she said, adding nevertheless that she is “happy and hopeful, and my family is thrilled, of course.”

Ms. Gangi was classed as having had a partial response to the cancer vaccine, one of a few in a small phase 1/2 trial at the Icahn School of Medicine at Mount Sinai in New York. One other patient also had a partial response, and one patient had a complete response.

However, six patients have progressive disease, and one has stable disease.  

These results come from an interim analysis of 10 patients from the trial, and show a 30% response rate. They were presented at the recent annual meeting of the Society for Immunotherapy of Cancer.

The vaccine that was being tested combines local low-dose radiation, intramural Flt3L, which stimulates dendritic cells, and intravenous poly-ICLC, an immune stimulating factor, with the PD-1 inhibitor pembrolizumab (Keytruda).

The result is that, instead of making a vaccine in a laboratory and administering it, “we’re actually formulating it within the body,” lead author Thomas Marron, MD, PhD, professor of medicine (hematology and medical oncology) at Mount Sinai, said in an interview.

“What people don’t realize,” he said, is that bulky tumor sites contain “a lot of dead tumor, because they grow so fast and in a haphazard way.” This means that the immune system can be recruited to recognize the dead tumor and “gobble up the dead stuff that’s already there,” he added.

The hope is that the immune system will then kill not only “the tumor you are injecting into, but also tumors elsewhere in the body,” Dr. Marron said. “So you’re basically using your body’s own immune system and on and off switches to vaccinate the patient against their cancer.”

Another patient in the trial who had a complete response to the vaccine was William Morrison, with non-Hodgkin lymphoma (NHL).

Mr. Morrison was diagnosed in 2017, at which time he was enrolled onto a phase 1 trial of an earlier version of this novel vaccine treatment regimen. “Basically, they didn’t get the results they were hoping for, and I still had the lymphoma,” he said. In 2018, his indolent follicular lymphoma transformed into an aggressive diffuse large B-cell lymphoma, for which Mr. Morrison was given six cycles of chemotherapy. This put him into remission and cleared his lymphoma.

“But the remission lasted for maybe a little over a year,” he said.

The cancer came back, and at that point he was given the opportunity to enroll in the Mount Sinai trial. At the end of the treatment, “everything was clear.”

“I’ve been for PET scans every 6 months, and I just had a scan done the other week, and everything has been fine…I’ve been pretty excited. I was pretty lucky.”

“This recent one really has worked wonders,” he said, “When they gave me the good news the other day. I felt like a big weight had been lifted.”

Mr. Morrison also said that he did not experience any serious adverse events while being treated with the vaccine. “Other than a few minor things, I tolerated it pretty well,” he said.

In contrast, Ms. Gangi said she experienced “intense” flu-like symptoms that started in the first few days after the treatment and lasted for a couple of days.
 

Need to improve response rate

The current trial achieved responses in 30% of patients, which “is great, [but] we want to be at 100%,” said Dr. Marron.

“What we’re doing in the laboratory right now is using this as an opportunity to study what it is that’s special about those three people who responded and what’s not happening in the other seven people, and we have some initial data that we’re analyzing,” he said.

“We are seeing that the patients who responded have a much more robust response to the Ft3L in particular…and that could suggest that maybe we need a better Ft3L, or we could think about other ways to potentially manipulate this vaccine.

“Most of the patients who are referred to me are people who have run out of options…and that usually means they’ve had many different types of chemotherapy,” Dr. Marron commented. For example, Ms. Gangi had already been through 12 different chemotherapy regimens.

Chemotherapy suppresses the immune system, but it’s not only that — also having an effect are all the other treatments aimed at reducing nausea and allergic reactions to the anti-cancer therapy, Dr. Marron explained.

“By the time that I see a patient,” Dr. Marron said, “oftentimes their immune system is not optimal. So another way in which we would hope to see better responses is by moving this vaccine earlier in the treatment paradigm, and administering it to patients as their first or second treatment.”

Senior author Joshua Brody, MD, director of the Lymphoma Immunotherapy Program at Mount Sinai’s Tisch Cancer Institute, added that it “might be easy” to incorporate the vaccine into earlier lines of therapy.

He said in an interview that both immunotherapy and radiation therapy are “standard” treatments, and the key is “adding multiple ingredients together that don’t have cumulative toxicity.”

“You can’t just chemo one plus chemo two, because they have some of the same toxicities, but the delightful thing here is this therapy had been quite safe.

“So in theory it would be fairly easy to incorporate this into earlier lines of therapy, once we can get a bit more proof of principle,” Dr. Brody said.

Approached for comment, Ann W. Silk, MD, said that the results are “particularly impressive because we know anti-PD-1 plus radiation therapy does not work in hormone-positive breast cancer or lymphoma.”

Dr. Silk, an oncologist at the Dana-Farber Cancer Institute and assistant professor of medicine at Harvard Medical School in Boston, said in an interview that one advantage of this vaccine is that it “is not restricted to a certain number of antigens and does not rely on an algorithm.”

“I would love to see more data in hormone-positive metastatic breast cancer patients,” she added. “I would use this approach after the hormonal treatments stop working, but before chemotherapy.”

Dr. Silk also said that the safety profile “looks quite good, and I imagine this approach would result in a much better quality of life for patients as compared to chemotherapy.”
 

Details of the trial and results

The Mount Sinai researchers had previously developed a personalized genomic cancer vaccine, PGV-001, which showed promise in a phase 1 trial in 13 patients with solid tumors or multiple myeloma and a high risk of recurrence after surgery or autologous stem cell transplant.

Next, they worked to develop the concept further to turn the tumor into its own vaccine, which involved inducing anti-tumor responses in indolent NHL, which typically responds poorly to checkpoint blockade, by combining Ft3L, low-dose irradiation, and poly-ICLC.

The next phase 1 trial showed that this approach was feasible, but preclinical modeling suggested that the addition of PD-1 blockade could improve the cure rates. The researchers therefore conducted the current trial, recruiting 10 patients with indolent NHL, metastatic breast cancer, or head and neck squamous cell carcinoma (HNSCC).

Patients were given local radiation therapy on days 1 and 2, and intramural Ft3L to the same tumor on day 9, followed by eight intravenous injections of poly-ICLC over 6 weeks. On day 23, they received their first of eight doses of pembrolizumab.

Dr. Marron explained that the radiotherapy increases the amount of dead material for the immune system to work on by “killing some of the tumor cells,” adding: “We’re not trying to kill the whole tumor with the radiation…it just starts the process of releasing some more of that dead stuff.”

He explained that Ft3L is a human growth factor that simulates dendritic cells, “which I always say are the professor cells of the immune system,” as they tell the body “what’s good and what’s bad.”

The poly-ICLC is “basically like a fake virus,” Dr. Marron said, as it “turns on those immune cells that have taken up the tumor antigen in the neighborhood” of the tumor, so they “teach the immune system that there is something bad”.

Finally, the pembrolizumab is there to “take the foot off the brake of the immune system” and “grease the wheels a bit more,” he added, even though it does not work in all patients, or in all tumor types, including indolent NHL.

The trial was planned in two phases. In the first part, six patients were enrolled to assess the safety of the approach; the phase 2 stage of the trial followed a Simon’s Two-Stage design, with the aim of recruiting seven patients of each tumor type, followed by a further 12 patients if they showed a response.

The current interim analysis that was presented at the SITC meeting focused on the first 10 patients in the phase 2 part, who were enrolled between April 2019 and July 2022. This included six patients with metastatic breast cancer, three with indolent NHL, and one with HNSCC, all of whom completed their first disease response assessment.

All patients experienced treatment-related adverse events, largely comprising low-grade injection site reactions and flu-like symptoms linked to the poly-ICLC injections.

One patient experienced grade 3 pembrolizumab-related colitis, while another had self-resolving grade 3 fever following poly-ICLC injection.

The study was sponsored by Icahn School of Medicine at Mount Sinai and conducted in collaboration with Merck Sharp & Dohme LLC and Celldex Therapeutics. No relevant financial relationships were reported.

A version of this article first appeared on Medscape.com.

Roughly 7% of all adult Americans may currently have had long COVID, with symptoms that have lasted 3 months or longer, according to the latest U.S. government survey done in October. More than a quarter say their condition is severe enough to significantly limit their day-to-day activities – yet the problem is only barely starting to get the attention of employers, the health care system, and policymakers.

With no cure or treatment in sight, long COVID is already burdening not only the health care system, but also the economy – and that burden is set to grow. Many experts worry about the possible long-term ripple effects, from increased spending on medical care costs to lost wages due to not being able to work, as well as the policy implications that come with addressing these issues.

“At this point, anyone who’s looking at this seriously would say this is a huge deal,” says senior Brookings Institution fellow Katie Bach, the author of a study that analyzed long COVID’s impact on the labor market.

“We need a real concerted focus on treating these people, which means both research and the clinical side, and figuring out how to build a labor market that is more inclusive of people with disabilities,” she said.

It’s not only that many people are affected. It’s that they are often affected for months and possibly even years.

The U.S. government figures suggest more than 18 million people could have symptoms of long COVID right now. The latest Household Pulse Survey by the Census Bureau and the National Center for Health Statistics takes data from 41,415 people.

A preprint of a study by researchers from City University of New York, posted on medRxiv in September and based on a similar population survey done between June 30 and July 2, drew comparable results. The study has not been peer reviewed.

More than 7% of all those who answered said they had long COVID at the time of the survey, which the researchers said corresponded to approximately 18.5 million U.S. adults. The same study found that a quarter of those, or an estimated 4.7 million adults, said their daily activities were impacted “a lot.”

This can translate into pain not only for the patients, but for governments and employers, too.

In high-income countries around the world, government surveys and other studies are shedding light on the extent to which post-COVID-19 symptoms – commonly known as long COVID – are affecting populations. While results vary, they generally fall within similar ranges.

The World Health Organization estimates that between 10% and 20% of those with COVID-19 go on to have an array of medium- to long-term post-COVID-19 symptoms that range from mild to debilitating. The U.S. Government Accountability Office puts that estimate at 10% to 30%; one of the latest studies published at the end of October in The Journal of the American Medical Association found that 15% of U.S. adults who had tested positive for COVID-19 reported current long COVID symptoms. Elsewhere, a study from the Netherlands published in The Lancet in August found that one in eight COVID-19 cases, or 12.7%, were likely to become long COVID.

“It’s very clear that the condition is devastating people’s lives and livelihoods,” WHO Director-General Tedros Adhanom Ghebreyesus wrote in an article for The Guardian newspaper in October.

“The world has already lost a significant number of the workforce to illness, death, fatigue, unplanned retirement due to an increase in long-term disability, which not only impacts the health system, but is a hit to the overarching economy … the impact of long COVID for all countries is very serious and needs immediate and sustained action equivalent to its scale.”
 

Global snapshot: Lasting symptoms, impact on activities

Patients describe a spectrum of persistent issues, with extreme fatigue, brain fog or cognitive problems, and shortness of breath among the most common complaints. Many also have manageable symptoms that worsen significantly after even mild physical or mental exertion.

Women appear almost twice as likely as men to get long COVID. Many patients have other medical conditions and disabilities that make them more vulnerable to the condition. Those who face greater obstacles accessing health care due to discrimination or socioeconomic inequity are at higher risk as well. 

While many are older, a large number are also in their prime working age. The Census Bureau data show that people ages 40-49 are more likely than any other group to get long COVID, which has broader implications for labor markets and the global economy. Already, experts have estimated that long COVID is likely to cost the U.S. trillions of dollars and affect multiple industries.

“Whether they’re in the financial world, the medical system, lawyers, they’re telling me they’re sitting at the computer screen and they’re unable to process the data,” said Zachary Schwartz, MD, medical director for Vancouver General Hospital’s Post-COVID-19 Recovery Clinic.

“That is what’s most distressing for people, in that they’re not working, they’re not making money, and they don’t know when, or if, they’re going to get better.”

Nearly a third of respondents in the Census Bureau’s Household Pulse Survey who said they have had COVID-19 reported symptoms that lasted 3 months or longer. People between the ages of 30 and 59 were the most affected, with about 32% reporting symptoms. Across the entire adult U.S. population, the survey found that 1 in 7 adults have had long COVID at some point during the pandemic, with about 1 in 18 saying it limited their activity to some degree, and 1 in 50 saying they have faced “a lot” of limits on their activities. Any way these numbers are dissected, long COVID has impacted a large swath of the population.

Yet research into the causes and possible treatments of long COVID is just getting underway.

“The amount of energy and time devoted to it is way, way less than it should, given how many people are likely affected,” said David Cutler, PhD, professor of economics at Harvard University, Cambridge, Mass., who has written about the economic cost of long COVID. “We’re way, way underdoing it here. And I think that’s really a terrible thing.”

Population surveys and studies from around the world show that long COVID lives up to its name, with people reporting serious symptoms for months on end.

In October, Statistics Canada and the Public Health Agency of Canada published early results from a questionnaire done between spring and summer 2022 that found just under 15% of adults who had a confirmed or suspected case of COVID-19 went on to have new or continuing symptoms 3 or more months later. Nearly half, or 47.3%, dealt with symptoms that lasted a year or more. More than one in five said their symptoms “often or always” limited their day-to-day activities, which included routine tasks such as preparing meals, doing errands and chores, and basic functions such as personal care and moving around in their homes.

Nearly three-quarters of workers or students said they missed an average of 20 days of work or school. 

“We haven’t yet been able to determine exactly when symptoms resolve,” said Rainu Kaushal, MD, the senior associate dean for clinical research at Weill Cornell Medicine in New York. She is co-leading a national study on long COVID in adults and children, funded by the National Institutes of Health RECOVER Initiative.

“But there does seem to be, for many of the milder symptoms, resolution at about 4-6 weeks. There seems to be a second point of resolution around 6 months for certain symptoms, and then some symptoms do seem to be permanent, and those tend to be patients who have underlying conditions,” she said.
 

Reducing the risk

Given all the data so far, experts recommend urgent policy changes to help people with long COVID.

“The population needs to be prepared, that understanding long COVID is going to be a very long and difficult process,” said Alexander Charney, MD, PhD, associate professor and the lead principal investigator of the RECOVER adult cohort at Icahn School of Medicine at Mount Sinai in New York. He said the government can do a great deal to help, including setting up a network of connected clinics treating long COVID, standardizing best practices, and sharing information.

“That would go a long way towards making sure that every person feels like they’re not too far away from a clinic where they can get treated for this particular condition,” he said.

But the only known way to prevent long COVID is to prevent COVID-19 infections in the first place, experts say. That means equitable access to tests, therapeutics, and vaccines.

“I will say that avoiding COVID remains the best treatment in the arsenal right now,” said Dr. Kaushal. This means masking, avoiding crowded places with poor ventilation and high exposure risk, and being up to date on vaccinations, she said.

A number of papers – including a large U.K. study published in May 2022, another one from July, and the JAMA study from October – all suggest that vaccinations can help reduce the risk of long COVID.

“I am absolutely of the belief that vaccination has reduced the incidence and overall amount of long COVID … [and is] still by far the best thing the public can do,” said Dr. Schwartz.

A version of this article first appeared on WebMD.com.

Roughly 7% of all adult Americans may currently have had long COVID, with symptoms that have lasted 3 months or longer, according to the latest U.S. government survey done in October. More than a quarter say their condition is severe enough to significantly limit their day-to-day activities – yet the problem is only barely starting to get the attention of employers, the health care system, and policymakers.

With no cure or treatment in sight, long COVID is already burdening not only the health care system, but also the economy – and that burden is set to grow. Many experts worry about the possible long-term ripple effects, from increased spending on medical care costs to lost wages due to not being able to work, as well as the policy implications that come with addressing these issues.

“At this point, anyone who’s looking at this seriously would say this is a huge deal,” says senior Brookings Institution fellow Katie Bach, the author of a study that analyzed long COVID’s impact on the labor market.

“We need a real concerted focus on treating these people, which means both research and the clinical side, and figuring out how to build a labor market that is more inclusive of people with disabilities,” she said.

It’s not only that many people are affected. It’s that they are often affected for months and possibly even years.

The U.S. government figures suggest more than 18 million people could have symptoms of long COVID right now. The latest Household Pulse Survey by the Census Bureau and the National Center for Health Statistics takes data from 41,415 people.

A preprint of a study by researchers from City University of New York, posted on medRxiv in September and based on a similar population survey done between June 30 and July 2, drew comparable results. The study has not been peer reviewed.

More than 7% of all those who answered said they had long COVID at the time of the survey, which the researchers said corresponded to approximately 18.5 million U.S. adults. The same study found that a quarter of those, or an estimated 4.7 million adults, said their daily activities were impacted “a lot.”

This can translate into pain not only for the patients, but for governments and employers, too.

In high-income countries around the world, government surveys and other studies are shedding light on the extent to which post-COVID-19 symptoms – commonly known as long COVID – are affecting populations. While results vary, they generally fall within similar ranges.

The World Health Organization estimates that between 10% and 20% of those with COVID-19 go on to have an array of medium- to long-term post-COVID-19 symptoms that range from mild to debilitating. The U.S. Government Accountability Office puts that estimate at 10% to 30%; one of the latest studies published at the end of October in The Journal of the American Medical Association found that 15% of U.S. adults who had tested positive for COVID-19 reported current long COVID symptoms. Elsewhere, a study from the Netherlands published in The Lancet in August found that one in eight COVID-19 cases, or 12.7%, were likely to become long COVID.

“It’s very clear that the condition is devastating people’s lives and livelihoods,” WHO Director-General Tedros Adhanom Ghebreyesus wrote in an article for The Guardian newspaper in October.

“The world has already lost a significant number of the workforce to illness, death, fatigue, unplanned retirement due to an increase in long-term disability, which not only impacts the health system, but is a hit to the overarching economy … the impact of long COVID for all countries is very serious and needs immediate and sustained action equivalent to its scale.”
 

Global snapshot: Lasting symptoms, impact on activities

Patients describe a spectrum of persistent issues, with extreme fatigue, brain fog or cognitive problems, and shortness of breath among the most common complaints. Many also have manageable symptoms that worsen significantly after even mild physical or mental exertion.

Women appear almost twice as likely as men to get long COVID. Many patients have other medical conditions and disabilities that make them more vulnerable to the condition. Those who face greater obstacles accessing health care due to discrimination or socioeconomic inequity are at higher risk as well. 

While many are older, a large number are also in their prime working age. The Census Bureau data show that people ages 40-49 are more likely than any other group to get long COVID, which has broader implications for labor markets and the global economy. Already, experts have estimated that long COVID is likely to cost the U.S. trillions of dollars and affect multiple industries.

“Whether they’re in the financial world, the medical system, lawyers, they’re telling me they’re sitting at the computer screen and they’re unable to process the data,” said Zachary Schwartz, MD, medical director for Vancouver General Hospital’s Post-COVID-19 Recovery Clinic.

“That is what’s most distressing for people, in that they’re not working, they’re not making money, and they don’t know when, or if, they’re going to get better.”

Nearly a third of respondents in the Census Bureau’s Household Pulse Survey who said they have had COVID-19 reported symptoms that lasted 3 months or longer. People between the ages of 30 and 59 were the most affected, with about 32% reporting symptoms. Across the entire adult U.S. population, the survey found that 1 in 7 adults have had long COVID at some point during the pandemic, with about 1 in 18 saying it limited their activity to some degree, and 1 in 50 saying they have faced “a lot” of limits on their activities. Any way these numbers are dissected, long COVID has impacted a large swath of the population.

Yet research into the causes and possible treatments of long COVID is just getting underway.

“The amount of energy and time devoted to it is way, way less than it should, given how many people are likely affected,” said David Cutler, PhD, professor of economics at Harvard University, Cambridge, Mass., who has written about the economic cost of long COVID. “We’re way, way underdoing it here. And I think that’s really a terrible thing.”

Population surveys and studies from around the world show that long COVID lives up to its name, with people reporting serious symptoms for months on end.

In October, Statistics Canada and the Public Health Agency of Canada published early results from a questionnaire done between spring and summer 2022 that found just under 15% of adults who had a confirmed or suspected case of COVID-19 went on to have new or continuing symptoms 3 or more months later. Nearly half, or 47.3%, dealt with symptoms that lasted a year or more. More than one in five said their symptoms “often or always” limited their day-to-day activities, which included routine tasks such as preparing meals, doing errands and chores, and basic functions such as personal care and moving around in their homes.

Nearly three-quarters of workers or students said they missed an average of 20 days of work or school. 

“We haven’t yet been able to determine exactly when symptoms resolve,” said Rainu Kaushal, MD, the senior associate dean for clinical research at Weill Cornell Medicine in New York. She is co-leading a national study on long COVID in adults and children, funded by the National Institutes of Health RECOVER Initiative.

“But there does seem to be, for many of the milder symptoms, resolution at about 4-6 weeks. There seems to be a second point of resolution around 6 months for certain symptoms, and then some symptoms do seem to be permanent, and those tend to be patients who have underlying conditions,” she said.
 

Reducing the risk

Given all the data so far, experts recommend urgent policy changes to help people with long COVID.

“The population needs to be prepared, that understanding long COVID is going to be a very long and difficult process,” said Alexander Charney, MD, PhD, associate professor and the lead principal investigator of the RECOVER adult cohort at Icahn School of Medicine at Mount Sinai in New York. He said the government can do a great deal to help, including setting up a network of connected clinics treating long COVID, standardizing best practices, and sharing information.

“That would go a long way towards making sure that every person feels like they’re not too far away from a clinic where they can get treated for this particular condition,” he said.

But the only known way to prevent long COVID is to prevent COVID-19 infections in the first place, experts say. That means equitable access to tests, therapeutics, and vaccines.

“I will say that avoiding COVID remains the best treatment in the arsenal right now,” said Dr. Kaushal. This means masking, avoiding crowded places with poor ventilation and high exposure risk, and being up to date on vaccinations, she said.

A number of papers – including a large U.K. study published in May 2022, another one from July, and the JAMA study from October – all suggest that vaccinations can help reduce the risk of long COVID.

“I am absolutely of the belief that vaccination has reduced the incidence and overall amount of long COVID … [and is] still by far the best thing the public can do,” said Dr. Schwartz.

A version of this article first appeared on WebMD.com.

Roughly 7% of all adult Americans may currently have had long COVID, with symptoms that have lasted 3 months or longer, according to the latest U.S. government survey done in October. More than a quarter say their condition is severe enough to significantly limit their day-to-day activities – yet the problem is only barely starting to get the attention of employers, the health care system, and policymakers.

With no cure or treatment in sight, long COVID is already burdening not only the health care system, but also the economy – and that burden is set to grow. Many experts worry about the possible long-term ripple effects, from increased spending on medical care costs to lost wages due to not being able to work, as well as the policy implications that come with addressing these issues.

“At this point, anyone who’s looking at this seriously would say this is a huge deal,” says senior Brookings Institution fellow Katie Bach, the author of a study that analyzed long COVID’s impact on the labor market.

“We need a real concerted focus on treating these people, which means both research and the clinical side, and figuring out how to build a labor market that is more inclusive of people with disabilities,” she said.

It’s not only that many people are affected. It’s that they are often affected for months and possibly even years.

The U.S. government figures suggest more than 18 million people could have symptoms of long COVID right now. The latest Household Pulse Survey by the Census Bureau and the National Center for Health Statistics takes data from 41,415 people.

A preprint of a study by researchers from City University of New York, posted on medRxiv in September and based on a similar population survey done between June 30 and July 2, drew comparable results. The study has not been peer reviewed.

More than 7% of all those who answered said they had long COVID at the time of the survey, which the researchers said corresponded to approximately 18.5 million U.S. adults. The same study found that a quarter of those, or an estimated 4.7 million adults, said their daily activities were impacted “a lot.”

This can translate into pain not only for the patients, but for governments and employers, too.

In high-income countries around the world, government surveys and other studies are shedding light on the extent to which post-COVID-19 symptoms – commonly known as long COVID – are affecting populations. While results vary, they generally fall within similar ranges.

The World Health Organization estimates that between 10% and 20% of those with COVID-19 go on to have an array of medium- to long-term post-COVID-19 symptoms that range from mild to debilitating. The U.S. Government Accountability Office puts that estimate at 10% to 30%; one of the latest studies published at the end of October in The Journal of the American Medical Association found that 15% of U.S. adults who had tested positive for COVID-19 reported current long COVID symptoms. Elsewhere, a study from the Netherlands published in The Lancet in August found that one in eight COVID-19 cases, or 12.7%, were likely to become long COVID.

“It’s very clear that the condition is devastating people’s lives and livelihoods,” WHO Director-General Tedros Adhanom Ghebreyesus wrote in an article for The Guardian newspaper in October.

“The world has already lost a significant number of the workforce to illness, death, fatigue, unplanned retirement due to an increase in long-term disability, which not only impacts the health system, but is a hit to the overarching economy … the impact of long COVID for all countries is very serious and needs immediate and sustained action equivalent to its scale.”
 

Global snapshot: Lasting symptoms, impact on activities

Patients describe a spectrum of persistent issues, with extreme fatigue, brain fog or cognitive problems, and shortness of breath among the most common complaints. Many also have manageable symptoms that worsen significantly after even mild physical or mental exertion.

Women appear almost twice as likely as men to get long COVID. Many patients have other medical conditions and disabilities that make them more vulnerable to the condition. Those who face greater obstacles accessing health care due to discrimination or socioeconomic inequity are at higher risk as well. 

While many are older, a large number are also in their prime working age. The Census Bureau data show that people ages 40-49 are more likely than any other group to get long COVID, which has broader implications for labor markets and the global economy. Already, experts have estimated that long COVID is likely to cost the U.S. trillions of dollars and affect multiple industries.

“Whether they’re in the financial world, the medical system, lawyers, they’re telling me they’re sitting at the computer screen and they’re unable to process the data,” said Zachary Schwartz, MD, medical director for Vancouver General Hospital’s Post-COVID-19 Recovery Clinic.

“That is what’s most distressing for people, in that they’re not working, they’re not making money, and they don’t know when, or if, they’re going to get better.”

Nearly a third of respondents in the Census Bureau’s Household Pulse Survey who said they have had COVID-19 reported symptoms that lasted 3 months or longer. People between the ages of 30 and 59 were the most affected, with about 32% reporting symptoms. Across the entire adult U.S. population, the survey found that 1 in 7 adults have had long COVID at some point during the pandemic, with about 1 in 18 saying it limited their activity to some degree, and 1 in 50 saying they have faced “a lot” of limits on their activities. Any way these numbers are dissected, long COVID has impacted a large swath of the population.

Yet research into the causes and possible treatments of long COVID is just getting underway.

“The amount of energy and time devoted to it is way, way less than it should, given how many people are likely affected,” said David Cutler, PhD, professor of economics at Harvard University, Cambridge, Mass., who has written about the economic cost of long COVID. “We’re way, way underdoing it here. And I think that’s really a terrible thing.”

Population surveys and studies from around the world show that long COVID lives up to its name, with people reporting serious symptoms for months on end.

In October, Statistics Canada and the Public Health Agency of Canada published early results from a questionnaire done between spring and summer 2022 that found just under 15% of adults who had a confirmed or suspected case of COVID-19 went on to have new or continuing symptoms 3 or more months later. Nearly half, or 47.3%, dealt with symptoms that lasted a year or more. More than one in five said their symptoms “often or always” limited their day-to-day activities, which included routine tasks such as preparing meals, doing errands and chores, and basic functions such as personal care and moving around in their homes.

Nearly three-quarters of workers or students said they missed an average of 20 days of work or school. 

“We haven’t yet been able to determine exactly when symptoms resolve,” said Rainu Kaushal, MD, the senior associate dean for clinical research at Weill Cornell Medicine in New York. She is co-leading a national study on long COVID in adults and children, funded by the National Institutes of Health RECOVER Initiative.

“But there does seem to be, for many of the milder symptoms, resolution at about 4-6 weeks. There seems to be a second point of resolution around 6 months for certain symptoms, and then some symptoms do seem to be permanent, and those tend to be patients who have underlying conditions,” she said.
 

Reducing the risk

Given all the data so far, experts recommend urgent policy changes to help people with long COVID.

“The population needs to be prepared, that understanding long COVID is going to be a very long and difficult process,” said Alexander Charney, MD, PhD, associate professor and the lead principal investigator of the RECOVER adult cohort at Icahn School of Medicine at Mount Sinai in New York. He said the government can do a great deal to help, including setting up a network of connected clinics treating long COVID, standardizing best practices, and sharing information.

“That would go a long way towards making sure that every person feels like they’re not too far away from a clinic where they can get treated for this particular condition,” he said.

But the only known way to prevent long COVID is to prevent COVID-19 infections in the first place, experts say. That means equitable access to tests, therapeutics, and vaccines.

“I will say that avoiding COVID remains the best treatment in the arsenal right now,” said Dr. Kaushal. This means masking, avoiding crowded places with poor ventilation and high exposure risk, and being up to date on vaccinations, she said.

A number of papers – including a large U.K. study published in May 2022, another one from July, and the JAMA study from October – all suggest that vaccinations can help reduce the risk of long COVID.

“I am absolutely of the belief that vaccination has reduced the incidence and overall amount of long COVID … [and is] still by far the best thing the public can do,” said Dr. Schwartz.

A version of this article first appeared on WebMD.com.

Dementia prevalence is dropping in the United States, new research shows. New data from the Health and Retirement Study, a nationally representative survey, show that the prevalence of dementia among individuals aged 65 and older dropped from 12.2% in 2000 to 8.5% in 2016 – a 30.1% decrease. In men, the prevalence of dementia fell from 10.2% to 7.0%, while for women, it declined from 13.6% to 9.7%, researchers reported. Their finding were published online in PNAS.

The study also revealed that the proportion of college-educated men in the sample increased from 21.5% in 2000 to 33.7% in 2016, while the proportion of college-educated women increased from 12.3% in 2000 to 23% in 2016.

The findings also show a decline in the dementia prevalence in non-Hispanic Black men, which dropped from 17.2% to 9.9%, a decrease of 42.6%. In non-Hispanic White men, dementia declined 9.3% to 6.6%, or 29.0%.

The investigators also found a substantial increase in the level of education between 2000 and 2016. In addition, they found that, among 74- to 84-year-old women in 2000, 29.5% had worked for more than 30 years during their lifetime versus 59.0% in 2016.

The investigators speculated that the decline in dementia prevalence reflects larger socioeconomic changes in the United States as well as prevention strategies to reduce cardiovascular disease.

A person born around 1920, for example, would have had greater exposure to the Great Depression, while someone born in 1936 would have benefited more from the changes in living standards in the years following World War II, they noted.

“There’s a need for more research on the effect of employment on cognitive reserve. It’s plausible that working is good for your mental cognitive abilities,” said study investigator Péter Hudomiet, PhD, from the RAND Corporation, adding that there may also be benefits that extend beyond working years. It’s possible that women’s greater participation in the workforce gives them more chances to establish relationships that in some cases last well into retirement and provide essential social connection. It’s well known that social isolation has a negative impact on cognition.

“It’s plausible that working is good for your mental cognitive abilities,” he added.

The investigators noted that it is beyond the scope of their study to draw definitive conclusions about the causes of the decline, but they observed that positive trends in employment and standard of living make sense. “They would suggest that as schooling levels continue to rise in the U.S. population in younger generations, the prevalence of dementia would continue to decrease.

The investigators report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Dementia prevalence is dropping in the United States, new research shows. New data from the Health and Retirement Study, a nationally representative survey, show that the prevalence of dementia among individuals aged 65 and older dropped from 12.2% in 2000 to 8.5% in 2016 – a 30.1% decrease. In men, the prevalence of dementia fell from 10.2% to 7.0%, while for women, it declined from 13.6% to 9.7%, researchers reported. Their finding were published online in PNAS.

The study also revealed that the proportion of college-educated men in the sample increased from 21.5% in 2000 to 33.7% in 2016, while the proportion of college-educated women increased from 12.3% in 2000 to 23% in 2016.

The findings also show a decline in the dementia prevalence in non-Hispanic Black men, which dropped from 17.2% to 9.9%, a decrease of 42.6%. In non-Hispanic White men, dementia declined 9.3% to 6.6%, or 29.0%.

The investigators also found a substantial increase in the level of education between 2000 and 2016. In addition, they found that, among 74- to 84-year-old women in 2000, 29.5% had worked for more than 30 years during their lifetime versus 59.0% in 2016.

The investigators speculated that the decline in dementia prevalence reflects larger socioeconomic changes in the United States as well as prevention strategies to reduce cardiovascular disease.

A person born around 1920, for example, would have had greater exposure to the Great Depression, while someone born in 1936 would have benefited more from the changes in living standards in the years following World War II, they noted.

“There’s a need for more research on the effect of employment on cognitive reserve. It’s plausible that working is good for your mental cognitive abilities,” said study investigator Péter Hudomiet, PhD, from the RAND Corporation, adding that there may also be benefits that extend beyond working years. It’s possible that women’s greater participation in the workforce gives them more chances to establish relationships that in some cases last well into retirement and provide essential social connection. It’s well known that social isolation has a negative impact on cognition.

“It’s plausible that working is good for your mental cognitive abilities,” he added.

The investigators noted that it is beyond the scope of their study to draw definitive conclusions about the causes of the decline, but they observed that positive trends in employment and standard of living make sense. “They would suggest that as schooling levels continue to rise in the U.S. population in younger generations, the prevalence of dementia would continue to decrease.

The investigators report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Dementia prevalence is dropping in the United States, new research shows. New data from the Health and Retirement Study, a nationally representative survey, show that the prevalence of dementia among individuals aged 65 and older dropped from 12.2% in 2000 to 8.5% in 2016 – a 30.1% decrease. In men, the prevalence of dementia fell from 10.2% to 7.0%, while for women, it declined from 13.6% to 9.7%, researchers reported. Their finding were published online in PNAS.

The study also revealed that the proportion of college-educated men in the sample increased from 21.5% in 2000 to 33.7% in 2016, while the proportion of college-educated women increased from 12.3% in 2000 to 23% in 2016.

The findings also show a decline in the dementia prevalence in non-Hispanic Black men, which dropped from 17.2% to 9.9%, a decrease of 42.6%. In non-Hispanic White men, dementia declined 9.3% to 6.6%, or 29.0%.

The investigators also found a substantial increase in the level of education between 2000 and 2016. In addition, they found that, among 74- to 84-year-old women in 2000, 29.5% had worked for more than 30 years during their lifetime versus 59.0% in 2016.

The investigators speculated that the decline in dementia prevalence reflects larger socioeconomic changes in the United States as well as prevention strategies to reduce cardiovascular disease.

A person born around 1920, for example, would have had greater exposure to the Great Depression, while someone born in 1936 would have benefited more from the changes in living standards in the years following World War II, they noted.

“There’s a need for more research on the effect of employment on cognitive reserve. It’s plausible that working is good for your mental cognitive abilities,” said study investigator Péter Hudomiet, PhD, from the RAND Corporation, adding that there may also be benefits that extend beyond working years. It’s possible that women’s greater participation in the workforce gives them more chances to establish relationships that in some cases last well into retirement and provide essential social connection. It’s well known that social isolation has a negative impact on cognition.

“It’s plausible that working is good for your mental cognitive abilities,” he added.

The investigators noted that it is beyond the scope of their study to draw definitive conclusions about the causes of the decline, but they observed that positive trends in employment and standard of living make sense. “They would suggest that as schooling levels continue to rise in the U.S. population in younger generations, the prevalence of dementia would continue to decrease.

The investigators report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Many Americans turn to the latest big idea to lose weight – fad diets, fitness crazes, dodgy herbs and pills, bariatric surgery, just to name a few. They’re rarely the magic solution people dream of.

Now a wave of startups offer access to a new category of drugs coupled with intensive behavioral coaching online. But already concerns are emerging.

These startups, spurred by hundreds of millions of dollars in funding from blue-chip venture capital firms, have signed up well over 100,000 patients and could reach millions more. These patients pay hundreds, if not thousands, of dollars to access new drugs, called glucagonlike peptide–1 (GLP-1) agonists, along with online coaching to encourage healthy habits.

The startups initially positioned themselves in lofty terms. “This is the last weight-loss program you’ll try,” said a 2020 marketing analysis by startup Calibrate Health, in messaging designed to reach one of its target demographics, the “working mom.” (Company spokesperson Michelle Wellington said the document does not reflect Calibrate’s current marketing strategy.)

But while doctors and patients are intrigued by the new model, some customers complain online that reality is short of the buildup: They say they got canned advice and unresponsive clinicians – and some report they couldn’t get the newest drugs.

Calibrate Health, a New York City–based startup, reported earlier in 2022 it had served 20,000 people. Another startup, Found, headquartered in San Francisco, has served 135,000 patients since July 2020, CEO Sarah Jones Simmer said in an interview. Calibrate costs patients nearly $1,600 a year, not counting the price of drugs, which can hit nearly $1,500 monthly without insurance, according to drug price savings site GoodRx. (Insurers reimburse for GLP-1agonists in limited circumstances, patients said.) Found offers a 6-month plan for nearly $600, a company spokesperson said. (That price includes generic drugs, but not the newer GLP-1 agonists, like Wegovy.)

The two companies are beneficiaries of over $200 million in combined venture funding, according to tracking by Crunchbase, a repository of venture capital investments. The firms say they’re on the vanguard of weight care, both citing the influence of biology and other scientific factors as key ingredients to their approaches.

There’s potentially a big market for these startups. Just over 4 in 10 Americans are obese, according to the Centers for Disease Control and Prevention, driving up their risk for cardiovascular conditions and type 2 diabetes. Effective medical treatments are elusive and hard to access.

Centers that provide this specialty care “are overwhelmed,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General in Boston, a teaching hospital affiliated with Harvard. Her own clinic has a wait list of 3,000.

Dr. Stanford, who said she has advised several of these telemedicine startups, is bullish on their potential.

Scott Butsch, MD, director of obesity medicine at the Cleveland Clinic, said the startups can offer care with less judgment and stigma than in-person peers. They’re also more convenient.

Dr. Butsch, who learned about the model through consultancies, patients, and colleagues, wonders whether the startups are operating “to strategically find which patients respond to which drug.” He said they should coordinate well with behavioral specialists, as antidepressants or other medications may be driving weight gain. “Obesity is a complex disease and requires treatments that match its complexity. I think programs that do not have a multidisciplinary team are less comprehensive and, in the long term, less effective.”

The startups market a two-pronged product: first, the new class of GLP-1 agonists. While these medications are effective at provoking weight loss, Wegovy, one of two in this class specifically approved for this purpose, is in short supply because of manufacturing difficulties, according to its maker, Novo Nordisk. Others in the category can be prescribed off label. But doctors generally aren’t familiar with the medications, Stanford said. In theory, the startups can bridge some of those gaps: They offer more specialized, knowledgeable clinicians.

Then there’s the other prong: behavioral changes. The companies use televisits and online messaging with nutritionists or coaches to help patients incorporate new diet and exercise habits. The weight loss figures achieved by participants in clinical trials for the new drugs – up to 15% of body mass – were tied to such changes, according to Novo Nordisk.

Social media sites are bursting with these startups’ ads, everywhere from podcasts to Instagram. A search of Meta’s ad library finds 40,000 ads on Facebook and Instagram between the two firms.

The ads complement people’s own postings on social media: Numerous Facebook groups are devoted to the new type of drugs – some even focused on helping patients manage side effects, like changes in their bowel movements. The buzz is quantifiable: On TikTok, mentions of the new GLP-1 agonists tripled from last June to this June, according to an analysis by investment bankers at Morgan Stanley.

There’s now a feverish, expectant appetite for these medications among the startups’ clientele. Patients often complained that their friends had obtained a drug they weren’t offered, recalled Alexandra Coults, a former pharmacist consultant for Found. Ms. Coults said patients may have perceived some sort of bait-and-switch when in reality clinical reasons – like drug contraindications – guide prescribing decisions.

Patient expectations influence care, Ms. Coults said. Customers came in with ideas shaped by the culture of fad diets and New Year’s resolutions. “Quite a few people would sign up for 1 month and not continue.”

In interviews with KHN and in online complaints, patients also questioned the quality of care they received. Some said intake – which began by filling out a form and proceeded to an online visit with a doctor – was perfunctory. Once medication began, they said, requests for counseling about side effects were slow to be answered.

Jess Garrant, a Found patient, recalled that after she was prescribed zonisamide, a generic anticonvulsant that has shown some ability to help with weight loss, she felt “absolutely weird.”

“I was up all night and my thoughts were racing,” she wrote in a blog post. She developed sores in her mouth.

She sought advice and help from Found physicians, but their replies “weren’t quick.” Nonemergency communications are routed through the company’s portal.

It took a week to complete a switch of medications and have a new prescription arrive at her home, she said. Meanwhile, she said, she went to an urgent care clinic for the mouth sores.

Found frequently prescribes generic medications – often off label – rather than just the new GLP-1 agonists, company executives said in an interview. Found said older generics like zonisamide are more accessible than the GLP-1 agonists advertised on social media and their own website. Both Dr. Butsch and Dr. Stanford said they’ve prescribed zonisamide successfully. Dr. Butsch said ramping up dosage rapidly can increase the risk of side effects.

But Kim Boyd, MD, chief medical officer of competitor Calibrate, said the older drugs “just haven’t worked.”

Patients of both companies have critiqued online and in interviews the startups’ behavioral care – which experts across the board maintain is integral to successful weight loss treatment. But some patients felt they simply had canned advice.

Other patients said they had ups and downs with their coaches. Dana Crom, an attorney, said she had gone through many coaches with Calibrate. Some were good, effective cheerleaders; others, not so good. But when kinks in the program arose, she said, the coach wasn’t able to help her navigate them. While the coach can report trouble with medications or the app, it appears those reports are no more effective than messages sent through the portal, Ms. Crom said.

And what about when her yearlong subscription ends? Ms. Crom said she’d consider continuing with Calibrate.

Relationships with coaches, given the need to change behavior, are a critical element of the business models. Patients’ results depend “on how adherent they are to lifestyle changes,” said Found’s chief medical officer, Rehka Kumar, MD.

While the startups offer care to a larger geographic footprint, it’s not clear whether the demographics of their patient populations are different from those of the traditional bricks-and-mortar model. Calibrate’s patients are overwhelmingly White; over 8 in 10 have at least an undergraduate degree; and over 8 in 10 are women, according to the company.

And its earlier marketing strategies reflected that. The September 2020 “segmentation” document laid out three types of customers the company could hope to attract: perimenopausal or menopausal women, with income ranging from $75,000 to $150,000 a year; working mothers, with a similar income; and “men.”

Isabelle Kenyon, Calibrate’s CEO, said the company now hopes to expand its reach to partner with large employers, and that will help diversify its patients.

Patients will need to be convinced that the model – more affordable, more accessible – works for them. For her part, Ms. Garrant, who no longer is using Found, reflected on her experience, writing in her blog post that she was hoping for more follow-up and a more personal approach. “I don’t think it’s a helpful way to lose weight,” she said.

KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

Many Americans turn to the latest big idea to lose weight – fad diets, fitness crazes, dodgy herbs and pills, bariatric surgery, just to name a few. They’re rarely the magic solution people dream of.

Now a wave of startups offer access to a new category of drugs coupled with intensive behavioral coaching online. But already concerns are emerging.

These startups, spurred by hundreds of millions of dollars in funding from blue-chip venture capital firms, have signed up well over 100,000 patients and could reach millions more. These patients pay hundreds, if not thousands, of dollars to access new drugs, called glucagonlike peptide–1 (GLP-1) agonists, along with online coaching to encourage healthy habits.

The startups initially positioned themselves in lofty terms. “This is the last weight-loss program you’ll try,” said a 2020 marketing analysis by startup Calibrate Health, in messaging designed to reach one of its target demographics, the “working mom.” (Company spokesperson Michelle Wellington said the document does not reflect Calibrate’s current marketing strategy.)

But while doctors and patients are intrigued by the new model, some customers complain online that reality is short of the buildup: They say they got canned advice and unresponsive clinicians – and some report they couldn’t get the newest drugs.

Calibrate Health, a New York City–based startup, reported earlier in 2022 it had served 20,000 people. Another startup, Found, headquartered in San Francisco, has served 135,000 patients since July 2020, CEO Sarah Jones Simmer said in an interview. Calibrate costs patients nearly $1,600 a year, not counting the price of drugs, which can hit nearly $1,500 monthly without insurance, according to drug price savings site GoodRx. (Insurers reimburse for GLP-1agonists in limited circumstances, patients said.) Found offers a 6-month plan for nearly $600, a company spokesperson said. (That price includes generic drugs, but not the newer GLP-1 agonists, like Wegovy.)

The two companies are beneficiaries of over $200 million in combined venture funding, according to tracking by Crunchbase, a repository of venture capital investments. The firms say they’re on the vanguard of weight care, both citing the influence of biology and other scientific factors as key ingredients to their approaches.

There’s potentially a big market for these startups. Just over 4 in 10 Americans are obese, according to the Centers for Disease Control and Prevention, driving up their risk for cardiovascular conditions and type 2 diabetes. Effective medical treatments are elusive and hard to access.

Centers that provide this specialty care “are overwhelmed,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General in Boston, a teaching hospital affiliated with Harvard. Her own clinic has a wait list of 3,000.

Dr. Stanford, who said she has advised several of these telemedicine startups, is bullish on their potential.

Scott Butsch, MD, director of obesity medicine at the Cleveland Clinic, said the startups can offer care with less judgment and stigma than in-person peers. They’re also more convenient.

Dr. Butsch, who learned about the model through consultancies, patients, and colleagues, wonders whether the startups are operating “to strategically find which patients respond to which drug.” He said they should coordinate well with behavioral specialists, as antidepressants or other medications may be driving weight gain. “Obesity is a complex disease and requires treatments that match its complexity. I think programs that do not have a multidisciplinary team are less comprehensive and, in the long term, less effective.”

The startups market a two-pronged product: first, the new class of GLP-1 agonists. While these medications are effective at provoking weight loss, Wegovy, one of two in this class specifically approved for this purpose, is in short supply because of manufacturing difficulties, according to its maker, Novo Nordisk. Others in the category can be prescribed off label. But doctors generally aren’t familiar with the medications, Stanford said. In theory, the startups can bridge some of those gaps: They offer more specialized, knowledgeable clinicians.

Then there’s the other prong: behavioral changes. The companies use televisits and online messaging with nutritionists or coaches to help patients incorporate new diet and exercise habits. The weight loss figures achieved by participants in clinical trials for the new drugs – up to 15% of body mass – were tied to such changes, according to Novo Nordisk.

Social media sites are bursting with these startups’ ads, everywhere from podcasts to Instagram. A search of Meta’s ad library finds 40,000 ads on Facebook and Instagram between the two firms.

The ads complement people’s own postings on social media: Numerous Facebook groups are devoted to the new type of drugs – some even focused on helping patients manage side effects, like changes in their bowel movements. The buzz is quantifiable: On TikTok, mentions of the new GLP-1 agonists tripled from last June to this June, according to an analysis by investment bankers at Morgan Stanley.

There’s now a feverish, expectant appetite for these medications among the startups’ clientele. Patients often complained that their friends had obtained a drug they weren’t offered, recalled Alexandra Coults, a former pharmacist consultant for Found. Ms. Coults said patients may have perceived some sort of bait-and-switch when in reality clinical reasons – like drug contraindications – guide prescribing decisions.

Patient expectations influence care, Ms. Coults said. Customers came in with ideas shaped by the culture of fad diets and New Year’s resolutions. “Quite a few people would sign up for 1 month and not continue.”

In interviews with KHN and in online complaints, patients also questioned the quality of care they received. Some said intake – which began by filling out a form and proceeded to an online visit with a doctor – was perfunctory. Once medication began, they said, requests for counseling about side effects were slow to be answered.

Jess Garrant, a Found patient, recalled that after she was prescribed zonisamide, a generic anticonvulsant that has shown some ability to help with weight loss, she felt “absolutely weird.”

“I was up all night and my thoughts were racing,” she wrote in a blog post. She developed sores in her mouth.

She sought advice and help from Found physicians, but their replies “weren’t quick.” Nonemergency communications are routed through the company’s portal.

It took a week to complete a switch of medications and have a new prescription arrive at her home, she said. Meanwhile, she said, she went to an urgent care clinic for the mouth sores.

Found frequently prescribes generic medications – often off label – rather than just the new GLP-1 agonists, company executives said in an interview. Found said older generics like zonisamide are more accessible than the GLP-1 agonists advertised on social media and their own website. Both Dr. Butsch and Dr. Stanford said they’ve prescribed zonisamide successfully. Dr. Butsch said ramping up dosage rapidly can increase the risk of side effects.

But Kim Boyd, MD, chief medical officer of competitor Calibrate, said the older drugs “just haven’t worked.”

Patients of both companies have critiqued online and in interviews the startups’ behavioral care – which experts across the board maintain is integral to successful weight loss treatment. But some patients felt they simply had canned advice.

Other patients said they had ups and downs with their coaches. Dana Crom, an attorney, said she had gone through many coaches with Calibrate. Some were good, effective cheerleaders; others, not so good. But when kinks in the program arose, she said, the coach wasn’t able to help her navigate them. While the coach can report trouble with medications or the app, it appears those reports are no more effective than messages sent through the portal, Ms. Crom said.

And what about when her yearlong subscription ends? Ms. Crom said she’d consider continuing with Calibrate.

Relationships with coaches, given the need to change behavior, are a critical element of the business models. Patients’ results depend “on how adherent they are to lifestyle changes,” said Found’s chief medical officer, Rehka Kumar, MD.

While the startups offer care to a larger geographic footprint, it’s not clear whether the demographics of their patient populations are different from those of the traditional bricks-and-mortar model. Calibrate’s patients are overwhelmingly White; over 8 in 10 have at least an undergraduate degree; and over 8 in 10 are women, according to the company.

And its earlier marketing strategies reflected that. The September 2020 “segmentation” document laid out three types of customers the company could hope to attract: perimenopausal or menopausal women, with income ranging from $75,000 to $150,000 a year; working mothers, with a similar income; and “men.”

Isabelle Kenyon, Calibrate’s CEO, said the company now hopes to expand its reach to partner with large employers, and that will help diversify its patients.

Patients will need to be convinced that the model – more affordable, more accessible – works for them. For her part, Ms. Garrant, who no longer is using Found, reflected on her experience, writing in her blog post that she was hoping for more follow-up and a more personal approach. “I don’t think it’s a helpful way to lose weight,” she said.

KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

Many Americans turn to the latest big idea to lose weight – fad diets, fitness crazes, dodgy herbs and pills, bariatric surgery, just to name a few. They’re rarely the magic solution people dream of.

Now a wave of startups offer access to a new category of drugs coupled with intensive behavioral coaching online. But already concerns are emerging.

These startups, spurred by hundreds of millions of dollars in funding from blue-chip venture capital firms, have signed up well over 100,000 patients and could reach millions more. These patients pay hundreds, if not thousands, of dollars to access new drugs, called glucagonlike peptide–1 (GLP-1) agonists, along with online coaching to encourage healthy habits.

The startups initially positioned themselves in lofty terms. “This is the last weight-loss program you’ll try,” said a 2020 marketing analysis by startup Calibrate Health, in messaging designed to reach one of its target demographics, the “working mom.” (Company spokesperson Michelle Wellington said the document does not reflect Calibrate’s current marketing strategy.)

But while doctors and patients are intrigued by the new model, some customers complain online that reality is short of the buildup: They say they got canned advice and unresponsive clinicians – and some report they couldn’t get the newest drugs.

Calibrate Health, a New York City–based startup, reported earlier in 2022 it had served 20,000 people. Another startup, Found, headquartered in San Francisco, has served 135,000 patients since July 2020, CEO Sarah Jones Simmer said in an interview. Calibrate costs patients nearly $1,600 a year, not counting the price of drugs, which can hit nearly $1,500 monthly without insurance, according to drug price savings site GoodRx. (Insurers reimburse for GLP-1agonists in limited circumstances, patients said.) Found offers a 6-month plan for nearly $600, a company spokesperson said. (That price includes generic drugs, but not the newer GLP-1 agonists, like Wegovy.)

The two companies are beneficiaries of over $200 million in combined venture funding, according to tracking by Crunchbase, a repository of venture capital investments. The firms say they’re on the vanguard of weight care, both citing the influence of biology and other scientific factors as key ingredients to their approaches.

There’s potentially a big market for these startups. Just over 4 in 10 Americans are obese, according to the Centers for Disease Control and Prevention, driving up their risk for cardiovascular conditions and type 2 diabetes. Effective medical treatments are elusive and hard to access.

Centers that provide this specialty care “are overwhelmed,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General in Boston, a teaching hospital affiliated with Harvard. Her own clinic has a wait list of 3,000.

Dr. Stanford, who said she has advised several of these telemedicine startups, is bullish on their potential.

Scott Butsch, MD, director of obesity medicine at the Cleveland Clinic, said the startups can offer care with less judgment and stigma than in-person peers. They’re also more convenient.

Dr. Butsch, who learned about the model through consultancies, patients, and colleagues, wonders whether the startups are operating “to strategically find which patients respond to which drug.” He said they should coordinate well with behavioral specialists, as antidepressants or other medications may be driving weight gain. “Obesity is a complex disease and requires treatments that match its complexity. I think programs that do not have a multidisciplinary team are less comprehensive and, in the long term, less effective.”

The startups market a two-pronged product: first, the new class of GLP-1 agonists. While these medications are effective at provoking weight loss, Wegovy, one of two in this class specifically approved for this purpose, is in short supply because of manufacturing difficulties, according to its maker, Novo Nordisk. Others in the category can be prescribed off label. But doctors generally aren’t familiar with the medications, Stanford said. In theory, the startups can bridge some of those gaps: They offer more specialized, knowledgeable clinicians.

Then there’s the other prong: behavioral changes. The companies use televisits and online messaging with nutritionists or coaches to help patients incorporate new diet and exercise habits. The weight loss figures achieved by participants in clinical trials for the new drugs – up to 15% of body mass – were tied to such changes, according to Novo Nordisk.

Social media sites are bursting with these startups’ ads, everywhere from podcasts to Instagram. A search of Meta’s ad library finds 40,000 ads on Facebook and Instagram between the two firms.

The ads complement people’s own postings on social media: Numerous Facebook groups are devoted to the new type of drugs – some even focused on helping patients manage side effects, like changes in their bowel movements. The buzz is quantifiable: On TikTok, mentions of the new GLP-1 agonists tripled from last June to this June, according to an analysis by investment bankers at Morgan Stanley.

There’s now a feverish, expectant appetite for these medications among the startups’ clientele. Patients often complained that their friends had obtained a drug they weren’t offered, recalled Alexandra Coults, a former pharmacist consultant for Found. Ms. Coults said patients may have perceived some sort of bait-and-switch when in reality clinical reasons – like drug contraindications – guide prescribing decisions.

Patient expectations influence care, Ms. Coults said. Customers came in with ideas shaped by the culture of fad diets and New Year’s resolutions. “Quite a few people would sign up for 1 month and not continue.”

In interviews with KHN and in online complaints, patients also questioned the quality of care they received. Some said intake – which began by filling out a form and proceeded to an online visit with a doctor – was perfunctory. Once medication began, they said, requests for counseling about side effects were slow to be answered.

Jess Garrant, a Found patient, recalled that after she was prescribed zonisamide, a generic anticonvulsant that has shown some ability to help with weight loss, she felt “absolutely weird.”

“I was up all night and my thoughts were racing,” she wrote in a blog post. She developed sores in her mouth.

She sought advice and help from Found physicians, but their replies “weren’t quick.” Nonemergency communications are routed through the company’s portal.

It took a week to complete a switch of medications and have a new prescription arrive at her home, she said. Meanwhile, she said, she went to an urgent care clinic for the mouth sores.

Found frequently prescribes generic medications – often off label – rather than just the new GLP-1 agonists, company executives said in an interview. Found said older generics like zonisamide are more accessible than the GLP-1 agonists advertised on social media and their own website. Both Dr. Butsch and Dr. Stanford said they’ve prescribed zonisamide successfully. Dr. Butsch said ramping up dosage rapidly can increase the risk of side effects.

But Kim Boyd, MD, chief medical officer of competitor Calibrate, said the older drugs “just haven’t worked.”

Patients of both companies have critiqued online and in interviews the startups’ behavioral care – which experts across the board maintain is integral to successful weight loss treatment. But some patients felt they simply had canned advice.

Other patients said they had ups and downs with their coaches. Dana Crom, an attorney, said she had gone through many coaches with Calibrate. Some were good, effective cheerleaders; others, not so good. But when kinks in the program arose, she said, the coach wasn’t able to help her navigate them. While the coach can report trouble with medications or the app, it appears those reports are no more effective than messages sent through the portal, Ms. Crom said.

And what about when her yearlong subscription ends? Ms. Crom said she’d consider continuing with Calibrate.

Relationships with coaches, given the need to change behavior, are a critical element of the business models. Patients’ results depend “on how adherent they are to lifestyle changes,” said Found’s chief medical officer, Rehka Kumar, MD.

While the startups offer care to a larger geographic footprint, it’s not clear whether the demographics of their patient populations are different from those of the traditional bricks-and-mortar model. Calibrate’s patients are overwhelmingly White; over 8 in 10 have at least an undergraduate degree; and over 8 in 10 are women, according to the company.

And its earlier marketing strategies reflected that. The September 2020 “segmentation” document laid out three types of customers the company could hope to attract: perimenopausal or menopausal women, with income ranging from $75,000 to $150,000 a year; working mothers, with a similar income; and “men.”

Isabelle Kenyon, Calibrate’s CEO, said the company now hopes to expand its reach to partner with large employers, and that will help diversify its patients.

Patients will need to be convinced that the model – more affordable, more accessible – works for them. For her part, Ms. Garrant, who no longer is using Found, reflected on her experience, writing in her blog post that she was hoping for more follow-up and a more personal approach. “I don’t think it’s a helpful way to lose weight,” she said.

KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

Understanding of the key mechanisms underlying the progression of type 2 diabetes has been advanced by new research from Oxford (England) University suggesting potential ways to “slow the seemingly inexorable decline in beta-cell function in T2D”.

The study in mice elucidated a “key cause” of T2D by showing that high blood glucose reprograms the metabolism of pancreatic beta-cells, helping to explain the progressive decline in their function in diabetes.

Scientists already knew that chronic hyperglycemia leads to a progressive decline in beta-cell function and, conversely, that the failure of pancreatic beta-cells to produce insulin results in chronically elevated blood glucose. However, the exact cause of beta-cell failure in T2D has remained unclear. T2D typically presents in later adult life, and by the time of diagnosis as much as 50% of beta-cell function has been lost.

In the United Kingdom there are nearly 5 million people diagnosed with T2D, which costs the National Health Service some £10 billion annually.
 

Glucose metabolites, rather than glucose itself, drives failure of cells to release insulin

The new study, published in Nature Communications, used both an animal model of diabetes and in vitro culture of beta-cells in a high glucose medium. In both cases the researchers showed, for the first time, that it is glucose metabolites, rather than glucose itself, that drives the failure of beta-cells to release insulin and is key to the progression of type 2 diabetes. 

Senior researcher Frances Ashcroft, PhD, of the department of physiology, anatomy and genetics at the University of Oxford said: “This suggests a potential way in which the decline in beta-cell function in T2D might be slowed or prevented.”

Blood glucose concentration is controlled within narrow limits, the team explained. When it is too low for more than few minutes, consciousness is rapidly lost because the brain is starved of fuel. However chronic elevation of blood glucose leads to the serious complications found in poorly controlled diabetes, such as retinopathy, nephropathy, peripheral neuropathy, and cardiac disease. Insulin, released from pancreatic beta-cells when blood glucose levels rise, is the only hormone that can lower the blood glucose concentration, and insufficient secretion results in diabetes. In T2D, the beta-cells are still present (unlike in T1D), but they have a reduced insulin content and the coupling between glucose and insulin release is impaired. 
 

Vicious spiral of hyperglycemia and beta-cell damage

Previous work by the same team had shown that chronic hyperglycemia damages the ability of the beta-cell to produce insulin and to release it when blood glucose levels rise. This suggested that “prolonged hyperglycemia sets off a vicious spiral in which an increase in blood glucose leads to beta-cell damage and less insulin secretion - which causes an even greater increase in blood glucose and a further decline in beta-cell function,” the team explained. 

Lead researcher Elizabeth Haythorne, PhD, said: “We realized that we next needed to understand how glucose damages beta-cell function, so we can think about how we might stop it and so slow the seemingly inexorable decline in beta-cell function in T2D.”

In the new study, they showed that altered glycolysis in T2D occurs, in part, through marked up-regulation of mammalian target of rapamycin complex 1 (mTORC1), a protein complex involved in control of cell growth, dysregulation of which underlies a variety of human diseases, including diabetes. Up-regulation of mTORC1 led to changes in metabolic gene expression, oxidative phosphorylation and insulin secretion. Furthermore, they demonstrated that reducing the rate at which glucose is metabolized and at which its metabolites build up could prevent the effects of chronic hyperglycemia and the ensuing beta-cell failure. 

“High blood glucose levels cause an increased rate of glucose metabolism in the beta-cell, which leads to a metabolic bottleneck and the pooling of upstream metabolites,” the team said. “These metabolites switch off the insulin gene, so less insulin is made, as well as switching off numerous genes involved in metabolism and stimulus-secretion coupling. Consequently, the beta-cells become glucose blind and no longer respond to changes in blood glucose with insulin secretion.”
 

Blocking metabolic enzyme could maintain insulin secretion

The team attempted to block the first step in glucose metabolism, and therefore prevent the gene changes from taking place, by blocking the enzyme glucokinase, which regulates the process. They found that this could maintain glucose-stimulated insulin secretion even in the presence of chronic hyperglycemia.

“Our results support the idea that progressive impairment of beta-cell metabolism, induced by increasing hyperglycemia, speeds T2D development, and suggest that reducing glycolysis at the level of glucokinase may slow this progression,” they said.

Dr. Ashcroft said: “This is potentially a useful way to try to prevent beta-cell decline in diabetes. Because glucose metabolism normally stimulates insulin secretion, it was previously hypothesized that increasing glucose metabolism would enhance insulin secretion in T2D and glucokinase activators were trialled, with varying results. 

“Our data suggests that glucokinase activators could have an adverse effect and, somewhat counter-intuitively, that a glucokinase inhibitor might be a better strategy to treat T2D. Of course, it would be important to reduce glucose flux in T2D to that found in people without diabetes – and no further. But there is a very long way to go before we can tell if this approach would be useful for treating beta-cell decline in T2D. 

“In the meantime, the key message from our study if you have type 2 diabetes is that it is important to keep your blood glucose well controlled.”

This study was funded by the UK Medical Research Council, the Biotechnology and Biological Sciences Research Council, the John Fell Fund, and the Nuffield Benefaction for Medicine/Wellcome Institutional Strategic Support Fund. The authors declared no competing interests.

A version of this article first appeared on Medscape UK.

Understanding of the key mechanisms underlying the progression of type 2 diabetes has been advanced by new research from Oxford (England) University suggesting potential ways to “slow the seemingly inexorable decline in beta-cell function in T2D”.

The study in mice elucidated a “key cause” of T2D by showing that high blood glucose reprograms the metabolism of pancreatic beta-cells, helping to explain the progressive decline in their function in diabetes.

Scientists already knew that chronic hyperglycemia leads to a progressive decline in beta-cell function and, conversely, that the failure of pancreatic beta-cells to produce insulin results in chronically elevated blood glucose. However, the exact cause of beta-cell failure in T2D has remained unclear. T2D typically presents in later adult life, and by the time of diagnosis as much as 50% of beta-cell function has been lost.

In the United Kingdom there are nearly 5 million people diagnosed with T2D, which costs the National Health Service some £10 billion annually.
 

Glucose metabolites, rather than glucose itself, drives failure of cells to release insulin

The new study, published in Nature Communications, used both an animal model of diabetes and in vitro culture of beta-cells in a high glucose medium. In both cases the researchers showed, for the first time, that it is glucose metabolites, rather than glucose itself, that drives the failure of beta-cells to release insulin and is key to the progression of type 2 diabetes. 

Senior researcher Frances Ashcroft, PhD, of the department of physiology, anatomy and genetics at the University of Oxford said: “This suggests a potential way in which the decline in beta-cell function in T2D might be slowed or prevented.”

Blood glucose concentration is controlled within narrow limits, the team explained. When it is too low for more than few minutes, consciousness is rapidly lost because the brain is starved of fuel. However chronic elevation of blood glucose leads to the serious complications found in poorly controlled diabetes, such as retinopathy, nephropathy, peripheral neuropathy, and cardiac disease. Insulin, released from pancreatic beta-cells when blood glucose levels rise, is the only hormone that can lower the blood glucose concentration, and insufficient secretion results in diabetes. In T2D, the beta-cells are still present (unlike in T1D), but they have a reduced insulin content and the coupling between glucose and insulin release is impaired. 
 

Vicious spiral of hyperglycemia and beta-cell damage

Previous work by the same team had shown that chronic hyperglycemia damages the ability of the beta-cell to produce insulin and to release it when blood glucose levels rise. This suggested that “prolonged hyperglycemia sets off a vicious spiral in which an increase in blood glucose leads to beta-cell damage and less insulin secretion - which causes an even greater increase in blood glucose and a further decline in beta-cell function,” the team explained. 

Lead researcher Elizabeth Haythorne, PhD, said: “We realized that we next needed to understand how glucose damages beta-cell function, so we can think about how we might stop it and so slow the seemingly inexorable decline in beta-cell function in T2D.”

In the new study, they showed that altered glycolysis in T2D occurs, in part, through marked up-regulation of mammalian target of rapamycin complex 1 (mTORC1), a protein complex involved in control of cell growth, dysregulation of which underlies a variety of human diseases, including diabetes. Up-regulation of mTORC1 led to changes in metabolic gene expression, oxidative phosphorylation and insulin secretion. Furthermore, they demonstrated that reducing the rate at which glucose is metabolized and at which its metabolites build up could prevent the effects of chronic hyperglycemia and the ensuing beta-cell failure. 

“High blood glucose levels cause an increased rate of glucose metabolism in the beta-cell, which leads to a metabolic bottleneck and the pooling of upstream metabolites,” the team said. “These metabolites switch off the insulin gene, so less insulin is made, as well as switching off numerous genes involved in metabolism and stimulus-secretion coupling. Consequently, the beta-cells become glucose blind and no longer respond to changes in blood glucose with insulin secretion.”
 

Blocking metabolic enzyme could maintain insulin secretion

The team attempted to block the first step in glucose metabolism, and therefore prevent the gene changes from taking place, by blocking the enzyme glucokinase, which regulates the process. They found that this could maintain glucose-stimulated insulin secretion even in the presence of chronic hyperglycemia.

“Our results support the idea that progressive impairment of beta-cell metabolism, induced by increasing hyperglycemia, speeds T2D development, and suggest that reducing glycolysis at the level of glucokinase may slow this progression,” they said.

Dr. Ashcroft said: “This is potentially a useful way to try to prevent beta-cell decline in diabetes. Because glucose metabolism normally stimulates insulin secretion, it was previously hypothesized that increasing glucose metabolism would enhance insulin secretion in T2D and glucokinase activators were trialled, with varying results. 

“Our data suggests that glucokinase activators could have an adverse effect and, somewhat counter-intuitively, that a glucokinase inhibitor might be a better strategy to treat T2D. Of course, it would be important to reduce glucose flux in T2D to that found in people without diabetes – and no further. But there is a very long way to go before we can tell if this approach would be useful for treating beta-cell decline in T2D. 

“In the meantime, the key message from our study if you have type 2 diabetes is that it is important to keep your blood glucose well controlled.”

This study was funded by the UK Medical Research Council, the Biotechnology and Biological Sciences Research Council, the John Fell Fund, and the Nuffield Benefaction for Medicine/Wellcome Institutional Strategic Support Fund. The authors declared no competing interests.

A version of this article first appeared on Medscape UK.

Understanding of the key mechanisms underlying the progression of type 2 diabetes has been advanced by new research from Oxford (England) University suggesting potential ways to “slow the seemingly inexorable decline in beta-cell function in T2D”.

The study in mice elucidated a “key cause” of T2D by showing that high blood glucose reprograms the metabolism of pancreatic beta-cells, helping to explain the progressive decline in their function in diabetes.

Scientists already knew that chronic hyperglycemia leads to a progressive decline in beta-cell function and, conversely, that the failure of pancreatic beta-cells to produce insulin results in chronically elevated blood glucose. However, the exact cause of beta-cell failure in T2D has remained unclear. T2D typically presents in later adult life, and by the time of diagnosis as much as 50% of beta-cell function has been lost.

In the United Kingdom there are nearly 5 million people diagnosed with T2D, which costs the National Health Service some £10 billion annually.
 

Glucose metabolites, rather than glucose itself, drives failure of cells to release insulin

The new study, published in Nature Communications, used both an animal model of diabetes and in vitro culture of beta-cells in a high glucose medium. In both cases the researchers showed, for the first time, that it is glucose metabolites, rather than glucose itself, that drives the failure of beta-cells to release insulin and is key to the progression of type 2 diabetes. 

Senior researcher Frances Ashcroft, PhD, of the department of physiology, anatomy and genetics at the University of Oxford said: “This suggests a potential way in which the decline in beta-cell function in T2D might be slowed or prevented.”

Blood glucose concentration is controlled within narrow limits, the team explained. When it is too low for more than few minutes, consciousness is rapidly lost because the brain is starved of fuel. However chronic elevation of blood glucose leads to the serious complications found in poorly controlled diabetes, such as retinopathy, nephropathy, peripheral neuropathy, and cardiac disease. Insulin, released from pancreatic beta-cells when blood glucose levels rise, is the only hormone that can lower the blood glucose concentration, and insufficient secretion results in diabetes. In T2D, the beta-cells are still present (unlike in T1D), but they have a reduced insulin content and the coupling between glucose and insulin release is impaired. 
 

Vicious spiral of hyperglycemia and beta-cell damage

Previous work by the same team had shown that chronic hyperglycemia damages the ability of the beta-cell to produce insulin and to release it when blood glucose levels rise. This suggested that “prolonged hyperglycemia sets off a vicious spiral in which an increase in blood glucose leads to beta-cell damage and less insulin secretion - which causes an even greater increase in blood glucose and a further decline in beta-cell function,” the team explained. 

Lead researcher Elizabeth Haythorne, PhD, said: “We realized that we next needed to understand how glucose damages beta-cell function, so we can think about how we might stop it and so slow the seemingly inexorable decline in beta-cell function in T2D.”

In the new study, they showed that altered glycolysis in T2D occurs, in part, through marked up-regulation of mammalian target of rapamycin complex 1 (mTORC1), a protein complex involved in control of cell growth, dysregulation of which underlies a variety of human diseases, including diabetes. Up-regulation of mTORC1 led to changes in metabolic gene expression, oxidative phosphorylation and insulin secretion. Furthermore, they demonstrated that reducing the rate at which glucose is metabolized and at which its metabolites build up could prevent the effects of chronic hyperglycemia and the ensuing beta-cell failure. 

“High blood glucose levels cause an increased rate of glucose metabolism in the beta-cell, which leads to a metabolic bottleneck and the pooling of upstream metabolites,” the team said. “These metabolites switch off the insulin gene, so less insulin is made, as well as switching off numerous genes involved in metabolism and stimulus-secretion coupling. Consequently, the beta-cells become glucose blind and no longer respond to changes in blood glucose with insulin secretion.”
 

Blocking metabolic enzyme could maintain insulin secretion

The team attempted to block the first step in glucose metabolism, and therefore prevent the gene changes from taking place, by blocking the enzyme glucokinase, which regulates the process. They found that this could maintain glucose-stimulated insulin secretion even in the presence of chronic hyperglycemia.

“Our results support the idea that progressive impairment of beta-cell metabolism, induced by increasing hyperglycemia, speeds T2D development, and suggest that reducing glycolysis at the level of glucokinase may slow this progression,” they said.

Dr. Ashcroft said: “This is potentially a useful way to try to prevent beta-cell decline in diabetes. Because glucose metabolism normally stimulates insulin secretion, it was previously hypothesized that increasing glucose metabolism would enhance insulin secretion in T2D and glucokinase activators were trialled, with varying results. 

“Our data suggests that glucokinase activators could have an adverse effect and, somewhat counter-intuitively, that a glucokinase inhibitor might be a better strategy to treat T2D. Of course, it would be important to reduce glucose flux in T2D to that found in people without diabetes – and no further. But there is a very long way to go before we can tell if this approach would be useful for treating beta-cell decline in T2D. 

“In the meantime, the key message from our study if you have type 2 diabetes is that it is important to keep your blood glucose well controlled.”

This study was funded by the UK Medical Research Council, the Biotechnology and Biological Sciences Research Council, the John Fell Fund, and the Nuffield Benefaction for Medicine/Wellcome Institutional Strategic Support Fund. The authors declared no competing interests.

A version of this article first appeared on Medscape UK.

CHICAGO – A new, expanded meta-analysis confirmed the long-known effect that statin treatment has on raising blood glucose levels and causing incident diabetes, but it also documented that these effects are small and any risk they pose to statin users is dwarfed by the cholesterol-lowering effect of statins and their ability to reduce risk for atherosclerotic cardiovascular disease (ASCVD).

Mitchel L. Zoler/MDedge

This meta-analysis of 23 trials with a total of more than 150,000 participants showed that statin therapy significantly increased the risk for new-onset diabetes and worsening glycemia, driven by a “very small but generalized increase in glucose,” with a greater effect from high-intensity statin regimens and a similar but somewhat more muted effect from low- and moderate-intensity statin treatment, David Preiss, MBChB, PhD, reported at the American Heart Association scientific sessions.

Dr. Preiss also stressed that despite this, “the cardiovascular benefits of statin therapy remain substantial and profound” in people regardless of whether they have diabetes, prediabetes, or normoglycemia when they start statin treatment, noting that the impact of even high-intensity statin treatment is “absolutely tiny” increases in hemoglobin A1c and blood glucose.

“This does not detract from the substantial benefit of statin treatment,” declared Dr. Preiss, a metabolic medicine specialist and endocrinologist at Oxford (England) University.
 

Small glycemia increases ‘nudge’ some into diabetes

The data Dr. Preiss reported showed that high-intensity statin treatment (atorvastatin at a daily dose of at least 40 mg, or rosuvastatin at a daily dose of at least 20 mg) led to an average increase in A1c levels of 0.08 percentage points among people without diabetes when their treatment began and 0.24 percentage points among people already diagnosed with diabetes. Blood glucose levels rose by an average of 0.04 mmol/L (less than 1 mg/d) in those without diabetes, and by an average 0.22 mmol/L (about 4 mg/dL) in those with diabetes. People who received low- or moderate-intensity statin regimens had significant but smaller increases.

“We’re not talking about people going from no diabetes to frank diabetes. We’re talking about [statins] nudging a very small number of people across a diabetes threshold,” an A1c of 6.5% that is set somewhat arbitrarily based on an increased risk for developing retinopathy, Dr. Preiss said. ”A person just needs to lose a [daily] can of Coke’s worth of weight to eliminate any apparent diabetes risk,” he noted.
 

Benefit outweighs risks by three- to sevenfold

Dr. Preiss presented two other examples of what his findings showed to illustrate the relatively small risk posed by statin therapy compared with its potential benefits. Treating 10,000 people for 5 years with a high-intensity statin regimen in those with established ASCVD (secondary prevention) would result in an increment of 150 extra people developing diabetes because of the hyperglycemic effect of statins, compared with an expected prevention of 1,000 ASCVD events. Among 10,000 people at high ASCVD risk and taking a high-intensity statin regimen for primary prevention 5 years of treatment would result in roughly 130 extra cases of incident diabetes while preventing about 500 ASCVD events.

In addition, applying the new risk estimates to the people included in the UK Biobank database, whose median A1c is 5.5%, showed that a high-intensity statin regimen could be expected to raise the prevalence of those with an A1c of 6.5% or greater from 4.5% to 5.7%.

Several preventive cardiologists who heard the report and were not involved with the analysis agreed with Dr. Preiss that the benefits of statin treatment substantially offset this confirmed hyperglycemic effect.
 

Risk ‘more than counterbalanced by benefit’

“He clearly showed that the small hyperglycemia risk posed by statin use is more than counterbalanced by its benefit for reducing ASCVD events,” commented Neil J. Stone, MD, a cardiologist and professor of medicine at Northwestern University, Chicago. “I agree that, for those with prediabetes who are on the road to diabetes with or without a statin, the small increase in glucose with a statin should not dissuade statin usage because the benefit is so large. Rather, it should focus efforts to improve diet, increase physical activity, and keep weight controlled.”

Dr. Stone also noted in an interview that in the JUPITER trial, which examined the effects of a daily 20-mg dose of rosuvastatin (Crestor), a high-intensity regimen, study participants with diabetes risk factors who were assigned to rosuvastatin had an onset of diabetes that was earlier than people assigned to placebo by only about 5.4 weeks, yet this group had evidence of significant benefit.

Mitchel L. Zoler/MDedge News

“I agree with Dr. Preiss that the benefits of statins in reducing heart attack, stroke, and cardiovascular death far outweigh their modest effects on glycemia,” commented Brendan M. Everett, MD, a cardiologist and preventive medicine specialist at Brigham and Women’s Hospital in Boston. “This is particularly true for those with preexisting prediabetes or diabetes, who have an elevated risk of atherosclerotic events and thus stand to derive more significant benefit from statins. The benefits of lowering LDL cholesterol with a statin for preventing seriously morbid, and potentially fatal, cardiovascular events far outweigh the extremely modest, or even negligible, increases in the risk of diabetes that could be seen with the extremely small increases in A1c,” Dr. Everett said in an interview.

The new findings “reaffirm that there is a increased risk [from statins] but the most important point is that it is a very, very tiny difference in A1c,” commented Marc S. Sabatine, MD, a cardiologist and professor at Harvard Medical School, Boston. “These data have been known for quite some time, but this analysis was done in a more rigorous way.” The finding of “a small increase in risk for diabetes is really because diabetes has a biochemical threshold and statin treatment nudges some people a little past a line that is semi-arbitrary. It’s important to be cognizant of this, but it in no way dissuades me from treating patients aggressively with statins to reduce their ASCVD risk. I would monitor their A1c levels, and if they go higher and can’t be controlled with lifestyle we have plenty of medications that can control it,” he said in an interview.
 

No difference by statin type

The meta-analysis used data from 13 placebo-controlled statin trials that together involved 123,940 participants and had an average 4.3 years of follow-up, and four trials that compared one statin with another and collectively involved 30,734 participants with an average 4.9 years of follow-up.

The analyses showed that high-intensity statin treatment increased the rate of incident diabetes by a significant 36% relative to controls and increased the rate of worsening glycemia by a significant 24% compared with controls. Low- or moderate-intensity statin regimens increased incident diabetes by a significant 10% and raised the incidence of worsening glycemia by a significant 10% compared with controls, Dr. Preiss reported.

These effects did not significantly differ by type of statin (the study included people treated with atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin), nor across a variety of subgroups based on age, sex, race, body mass index, diabetes risk, renal function, cholesterol levels, or cardiovascular disease. The effect was also consistent regardless of the duration of treatment.

Dr. Preiss also downplayed the magnitude of the apparent difference in risk posed by high-intensity and less intense statin regimens. “I suspect the apparent heterogeneity is true, but not quite as big as what we see,” he said.

The mechanisms by which statins have this effect remain unclear, but evidence suggests that it may be a direct effect of the main action of statins, inhibition of the HMG-CoA reductase enzyme.

The study received no commercial funding. Dr. Preiss and Dr. Stone had no disclosures. Dr. Everett has been a consultant to Eli Lilly, Gilead, Ipsen, Janssen, and Provention. Dr. Sabatine has been a consultant to Althera, Amgen, Anthos Therapeutics, AstraZeneca, Beren Therapeutics, Bristol-Myers Squibb, DalCor, Dr Reddy’s Laboratories, Fibrogen, Intarcia, Merck, Moderna, Novo Nordisk, and Silence Therapeutics.

CHICAGO – A new, expanded meta-analysis confirmed the long-known effect that statin treatment has on raising blood glucose levels and causing incident diabetes, but it also documented that these effects are small and any risk they pose to statin users is dwarfed by the cholesterol-lowering effect of statins and their ability to reduce risk for atherosclerotic cardiovascular disease (ASCVD).

Mitchel L. Zoler/MDedge

This meta-analysis of 23 trials with a total of more than 150,000 participants showed that statin therapy significantly increased the risk for new-onset diabetes and worsening glycemia, driven by a “very small but generalized increase in glucose,” with a greater effect from high-intensity statin regimens and a similar but somewhat more muted effect from low- and moderate-intensity statin treatment, David Preiss, MBChB, PhD, reported at the American Heart Association scientific sessions.

Dr. Preiss also stressed that despite this, “the cardiovascular benefits of statin therapy remain substantial and profound” in people regardless of whether they have diabetes, prediabetes, or normoglycemia when they start statin treatment, noting that the impact of even high-intensity statin treatment is “absolutely tiny” increases in hemoglobin A1c and blood glucose.

“This does not detract from the substantial benefit of statin treatment,” declared Dr. Preiss, a metabolic medicine specialist and endocrinologist at Oxford (England) University.
 

Small glycemia increases ‘nudge’ some into diabetes

The data Dr. Preiss reported showed that high-intensity statin treatment (atorvastatin at a daily dose of at least 40 mg, or rosuvastatin at a daily dose of at least 20 mg) led to an average increase in A1c levels of 0.08 percentage points among people without diabetes when their treatment began and 0.24 percentage points among people already diagnosed with diabetes. Blood glucose levels rose by an average of 0.04 mmol/L (less than 1 mg/d) in those without diabetes, and by an average 0.22 mmol/L (about 4 mg/dL) in those with diabetes. People who received low- or moderate-intensity statin regimens had significant but smaller increases.

“We’re not talking about people going from no diabetes to frank diabetes. We’re talking about [statins] nudging a very small number of people across a diabetes threshold,” an A1c of 6.5% that is set somewhat arbitrarily based on an increased risk for developing retinopathy, Dr. Preiss said. ”A person just needs to lose a [daily] can of Coke’s worth of weight to eliminate any apparent diabetes risk,” he noted.
 

Benefit outweighs risks by three- to sevenfold

Dr. Preiss presented two other examples of what his findings showed to illustrate the relatively small risk posed by statin therapy compared with its potential benefits. Treating 10,000 people for 5 years with a high-intensity statin regimen in those with established ASCVD (secondary prevention) would result in an increment of 150 extra people developing diabetes because of the hyperglycemic effect of statins, compared with an expected prevention of 1,000 ASCVD events. Among 10,000 people at high ASCVD risk and taking a high-intensity statin regimen for primary prevention 5 years of treatment would result in roughly 130 extra cases of incident diabetes while preventing about 500 ASCVD events.

In addition, applying the new risk estimates to the people included in the UK Biobank database, whose median A1c is 5.5%, showed that a high-intensity statin regimen could be expected to raise the prevalence of those with an A1c of 6.5% or greater from 4.5% to 5.7%.

Several preventive cardiologists who heard the report and were not involved with the analysis agreed with Dr. Preiss that the benefits of statin treatment substantially offset this confirmed hyperglycemic effect.
 

Risk ‘more than counterbalanced by benefit’

“He clearly showed that the small hyperglycemia risk posed by statin use is more than counterbalanced by its benefit for reducing ASCVD events,” commented Neil J. Stone, MD, a cardiologist and professor of medicine at Northwestern University, Chicago. “I agree that, for those with prediabetes who are on the road to diabetes with or without a statin, the small increase in glucose with a statin should not dissuade statin usage because the benefit is so large. Rather, it should focus efforts to improve diet, increase physical activity, and keep weight controlled.”

Dr. Stone also noted in an interview that in the JUPITER trial, which examined the effects of a daily 20-mg dose of rosuvastatin (Crestor), a high-intensity regimen, study participants with diabetes risk factors who were assigned to rosuvastatin had an onset of diabetes that was earlier than people assigned to placebo by only about 5.4 weeks, yet this group had evidence of significant benefit.

Mitchel L. Zoler/MDedge News

“I agree with Dr. Preiss that the benefits of statins in reducing heart attack, stroke, and cardiovascular death far outweigh their modest effects on glycemia,” commented Brendan M. Everett, MD, a cardiologist and preventive medicine specialist at Brigham and Women’s Hospital in Boston. “This is particularly true for those with preexisting prediabetes or diabetes, who have an elevated risk of atherosclerotic events and thus stand to derive more significant benefit from statins. The benefits of lowering LDL cholesterol with a statin for preventing seriously morbid, and potentially fatal, cardiovascular events far outweigh the extremely modest, or even negligible, increases in the risk of diabetes that could be seen with the extremely small increases in A1c,” Dr. Everett said in an interview.

The new findings “reaffirm that there is a increased risk [from statins] but the most important point is that it is a very, very tiny difference in A1c,” commented Marc S. Sabatine, MD, a cardiologist and professor at Harvard Medical School, Boston. “These data have been known for quite some time, but this analysis was done in a more rigorous way.” The finding of “a small increase in risk for diabetes is really because diabetes has a biochemical threshold and statin treatment nudges some people a little past a line that is semi-arbitrary. It’s important to be cognizant of this, but it in no way dissuades me from treating patients aggressively with statins to reduce their ASCVD risk. I would monitor their A1c levels, and if they go higher and can’t be controlled with lifestyle we have plenty of medications that can control it,” he said in an interview.
 

No difference by statin type

The meta-analysis used data from 13 placebo-controlled statin trials that together involved 123,940 participants and had an average 4.3 years of follow-up, and four trials that compared one statin with another and collectively involved 30,734 participants with an average 4.9 years of follow-up.

The analyses showed that high-intensity statin treatment increased the rate of incident diabetes by a significant 36% relative to controls and increased the rate of worsening glycemia by a significant 24% compared with controls. Low- or moderate-intensity statin regimens increased incident diabetes by a significant 10% and raised the incidence of worsening glycemia by a significant 10% compared with controls, Dr. Preiss reported.

These effects did not significantly differ by type of statin (the study included people treated with atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin), nor across a variety of subgroups based on age, sex, race, body mass index, diabetes risk, renal function, cholesterol levels, or cardiovascular disease. The effect was also consistent regardless of the duration of treatment.

Dr. Preiss also downplayed the magnitude of the apparent difference in risk posed by high-intensity and less intense statin regimens. “I suspect the apparent heterogeneity is true, but not quite as big as what we see,” he said.

The mechanisms by which statins have this effect remain unclear, but evidence suggests that it may be a direct effect of the main action of statins, inhibition of the HMG-CoA reductase enzyme.

The study received no commercial funding. Dr. Preiss and Dr. Stone had no disclosures. Dr. Everett has been a consultant to Eli Lilly, Gilead, Ipsen, Janssen, and Provention. Dr. Sabatine has been a consultant to Althera, Amgen, Anthos Therapeutics, AstraZeneca, Beren Therapeutics, Bristol-Myers Squibb, DalCor, Dr Reddy’s Laboratories, Fibrogen, Intarcia, Merck, Moderna, Novo Nordisk, and Silence Therapeutics.

CHICAGO – A new, expanded meta-analysis confirmed the long-known effect that statin treatment has on raising blood glucose levels and causing incident diabetes, but it also documented that these effects are small and any risk they pose to statin users is dwarfed by the cholesterol-lowering effect of statins and their ability to reduce risk for atherosclerotic cardiovascular disease (ASCVD).

Mitchel L. Zoler/MDedge

This meta-analysis of 23 trials with a total of more than 150,000 participants showed that statin therapy significantly increased the risk for new-onset diabetes and worsening glycemia, driven by a “very small but generalized increase in glucose,” with a greater effect from high-intensity statin regimens and a similar but somewhat more muted effect from low- and moderate-intensity statin treatment, David Preiss, MBChB, PhD, reported at the American Heart Association scientific sessions.

Dr. Preiss also stressed that despite this, “the cardiovascular benefits of statin therapy remain substantial and profound” in people regardless of whether they have diabetes, prediabetes, or normoglycemia when they start statin treatment, noting that the impact of even high-intensity statin treatment is “absolutely tiny” increases in hemoglobin A1c and blood glucose.

“This does not detract from the substantial benefit of statin treatment,” declared Dr. Preiss, a metabolic medicine specialist and endocrinologist at Oxford (England) University.
 

Small glycemia increases ‘nudge’ some into diabetes

The data Dr. Preiss reported showed that high-intensity statin treatment (atorvastatin at a daily dose of at least 40 mg, or rosuvastatin at a daily dose of at least 20 mg) led to an average increase in A1c levels of 0.08 percentage points among people without diabetes when their treatment began and 0.24 percentage points among people already diagnosed with diabetes. Blood glucose levels rose by an average of 0.04 mmol/L (less than 1 mg/d) in those without diabetes, and by an average 0.22 mmol/L (about 4 mg/dL) in those with diabetes. People who received low- or moderate-intensity statin regimens had significant but smaller increases.

“We’re not talking about people going from no diabetes to frank diabetes. We’re talking about [statins] nudging a very small number of people across a diabetes threshold,” an A1c of 6.5% that is set somewhat arbitrarily based on an increased risk for developing retinopathy, Dr. Preiss said. ”A person just needs to lose a [daily] can of Coke’s worth of weight to eliminate any apparent diabetes risk,” he noted.
 

Benefit outweighs risks by three- to sevenfold

Dr. Preiss presented two other examples of what his findings showed to illustrate the relatively small risk posed by statin therapy compared with its potential benefits. Treating 10,000 people for 5 years with a high-intensity statin regimen in those with established ASCVD (secondary prevention) would result in an increment of 150 extra people developing diabetes because of the hyperglycemic effect of statins, compared with an expected prevention of 1,000 ASCVD events. Among 10,000 people at high ASCVD risk and taking a high-intensity statin regimen for primary prevention 5 years of treatment would result in roughly 130 extra cases of incident diabetes while preventing about 500 ASCVD events.

In addition, applying the new risk estimates to the people included in the UK Biobank database, whose median A1c is 5.5%, showed that a high-intensity statin regimen could be expected to raise the prevalence of those with an A1c of 6.5% or greater from 4.5% to 5.7%.

Several preventive cardiologists who heard the report and were not involved with the analysis agreed with Dr. Preiss that the benefits of statin treatment substantially offset this confirmed hyperglycemic effect.
 

Risk ‘more than counterbalanced by benefit’

“He clearly showed that the small hyperglycemia risk posed by statin use is more than counterbalanced by its benefit for reducing ASCVD events,” commented Neil J. Stone, MD, a cardiologist and professor of medicine at Northwestern University, Chicago. “I agree that, for those with prediabetes who are on the road to diabetes with or without a statin, the small increase in glucose with a statin should not dissuade statin usage because the benefit is so large. Rather, it should focus efforts to improve diet, increase physical activity, and keep weight controlled.”

Dr. Stone also noted in an interview that in the JUPITER trial, which examined the effects of a daily 20-mg dose of rosuvastatin (Crestor), a high-intensity regimen, study participants with diabetes risk factors who were assigned to rosuvastatin had an onset of diabetes that was earlier than people assigned to placebo by only about 5.4 weeks, yet this group had evidence of significant benefit.

Mitchel L. Zoler/MDedge News

“I agree with Dr. Preiss that the benefits of statins in reducing heart attack, stroke, and cardiovascular death far outweigh their modest effects on glycemia,” commented Brendan M. Everett, MD, a cardiologist and preventive medicine specialist at Brigham and Women’s Hospital in Boston. “This is particularly true for those with preexisting prediabetes or diabetes, who have an elevated risk of atherosclerotic events and thus stand to derive more significant benefit from statins. The benefits of lowering LDL cholesterol with a statin for preventing seriously morbid, and potentially fatal, cardiovascular events far outweigh the extremely modest, or even negligible, increases in the risk of diabetes that could be seen with the extremely small increases in A1c,” Dr. Everett said in an interview.

The new findings “reaffirm that there is a increased risk [from statins] but the most important point is that it is a very, very tiny difference in A1c,” commented Marc S. Sabatine, MD, a cardiologist and professor at Harvard Medical School, Boston. “These data have been known for quite some time, but this analysis was done in a more rigorous way.” The finding of “a small increase in risk for diabetes is really because diabetes has a biochemical threshold and statin treatment nudges some people a little past a line that is semi-arbitrary. It’s important to be cognizant of this, but it in no way dissuades me from treating patients aggressively with statins to reduce their ASCVD risk. I would monitor their A1c levels, and if they go higher and can’t be controlled with lifestyle we have plenty of medications that can control it,” he said in an interview.
 

No difference by statin type

The meta-analysis used data from 13 placebo-controlled statin trials that together involved 123,940 participants and had an average 4.3 years of follow-up, and four trials that compared one statin with another and collectively involved 30,734 participants with an average 4.9 years of follow-up.

The analyses showed that high-intensity statin treatment increased the rate of incident diabetes by a significant 36% relative to controls and increased the rate of worsening glycemia by a significant 24% compared with controls. Low- or moderate-intensity statin regimens increased incident diabetes by a significant 10% and raised the incidence of worsening glycemia by a significant 10% compared with controls, Dr. Preiss reported.

These effects did not significantly differ by type of statin (the study included people treated with atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin), nor across a variety of subgroups based on age, sex, race, body mass index, diabetes risk, renal function, cholesterol levels, or cardiovascular disease. The effect was also consistent regardless of the duration of treatment.

Dr. Preiss also downplayed the magnitude of the apparent difference in risk posed by high-intensity and less intense statin regimens. “I suspect the apparent heterogeneity is true, but not quite as big as what we see,” he said.

The mechanisms by which statins have this effect remain unclear, but evidence suggests that it may be a direct effect of the main action of statins, inhibition of the HMG-CoA reductase enzyme.

The study received no commercial funding. Dr. Preiss and Dr. Stone had no disclosures. Dr. Everett has been a consultant to Eli Lilly, Gilead, Ipsen, Janssen, and Provention. Dr. Sabatine has been a consultant to Althera, Amgen, Anthos Therapeutics, AstraZeneca, Beren Therapeutics, Bristol-Myers Squibb, DalCor, Dr Reddy’s Laboratories, Fibrogen, Intarcia, Merck, Moderna, Novo Nordisk, and Silence Therapeutics.

Use of continuous glucose monitoring (CGM) by people without diabetes is becoming increasingly popular despite little evidence of benefit thus far, prompting discussion in the diabetes technology community about best practices.

Emerging uses for CGM outside of diabetes include improving glucose patterns to avoid diabetes, improving mental or physical performance, and promoting motivation for healthy behavior change. Such uses are not approved by the Food and Drug Administration and not covered by health insurance, yet a growing number of people are paying digital health companies for the devices as part of wellness packages.

Click_and_Photo/Thinkstock

‘An idea whose time has come?’

Dr. Espinoza was a co-author on a review published online in the Journal of Diabetes Science and Technology, entitled, “Use of Continuous Glucose Monitors by People Without Diabetes: An Idea Whose Time Has Come?”

The review examines several aspects of the issue, beginning with studies that used CGM to investigate glucose concentrations in people with normal fasting glucose and glucose tolerance tests. Nearly all those individuals – from populations around the world – fell in the blood glucose range of 70-140 mg/dL.

Also reviewed are studies using CGM to study effects of diet, exercise, and stress on glucose levels in people without diabetes. Subsequent sections summarize the limited data that are available suggesting potential benefit for use of CGM in metabolic disease including prediabetes and obesity, non-metabolic conditions such as steroid treatment or parenteral nutrition, health and wellness, and among elite athletes. In that last group, glucose levels in both the hypoglycemic and hyperglycemic ranges during intensive activity have been documented.

Currently, there are four CGM devices that are FDA-approved for use in people with diabetes: FreeStyle Libre (Abbott), the implantable Eversense (Senseonics), and devices from Dexcom and Medtronic.

As Dr. Espinoza and colleagues explain in their review, most of the commercial health and wellness CGM programs, such as Nutrisense, Signos, and Supersapiens, actually use sensors made by those same manufacturers. Nutrisense and Supersapiens use the Libre, and Signos uses the Dexcom.

But, rather than the manufacturer’s apps meant for use by people with diabetes, the wellness companies pair the sensors with their own specially designed apps and typically offer additional services such as health coaching or nutrition counseling “to improve general health.”

Subscribers pay a monthly fee. Signos, for example, charges $399 for 1 month, $199/month for 3 months, or $159/month for 6 months. A prescription is required, but the company’s website says, “rest assured, an independent physician will handle the prescription for you, so you won’t need to arrange for a doctor visit. It is included in the cost of membership.”

Several consumer health product companies are now developing non-invasive glucose monitors, most often as a wristwatch, for people without diabetes to measure glucose optically from the skin in the wrist.

“It remains to be determined how accurate these new devices will be and how they will be regulated,” the researchers write.
 

What to do with the data?

The dedicated health and wellness apps typically provide average glucose and trend data but not the GMI. However, in theory users could access that metric by downloading the manufacturers’ viewing apps – for example, Clarity for Dexcom or LibreView for Libre.

Moreover, a person without diabetes could always obtain an off-label prescription from their physician for a FreeStyle Libre and purchase it at a pharmacy. At Walmart, for example, the cost for two boxes of two glucose meters with 14 days of wear each is $136.77. In that situation as well, users could download the viewing app that contains the summary data including the GMI that could potentially mislead in the setting of consistent normoglycemia.  

Dr. Espinoza said: “I think there’s certainly value in glucose levels. We know the summary metrics are useful in type 1 diabetes. We don’t know which summary metrics are going to be useful in any other disease states. We may need brand new summary metrics for other disease states where it’s not about time in range. Maybe the thing that matters is the frequency or height of spikes. We don’t have a measure for that.”

He added that despite the availability of normative data, “even people without diabetes are a fairly heterogenous group. They can still have insulin resistance, so it’s tricky. From a science standpoint, we probably need studies with hundreds of patients with well-established A1c and [insulin resistance measures], weight, and body mass index. Then and only then will we be able to give an accurate glucose profile.”

In the meantime, “more data is always a good thing, but the hard thing is figuring out what do we do with it. Maybe it’s biofeedback for behavioral modification. We don’t know yet. But these are powerful tools and maybe we should learn how to use them better.”

Dr. Shah has reported receiving research grants and participating in advisory boards for Dexcom and Sanofi US. Dr. Espinoza has reported receiving research funding from the National Institutes of Health and FDA.

A version of this article first appeared on Medscape.com.

Use of continuous glucose monitoring (CGM) by people without diabetes is becoming increasingly popular despite little evidence of benefit thus far, prompting discussion in the diabetes technology community about best practices.

Emerging uses for CGM outside of diabetes include improving glucose patterns to avoid diabetes, improving mental or physical performance, and promoting motivation for healthy behavior change. Such uses are not approved by the Food and Drug Administration and not covered by health insurance, yet a growing number of people are paying digital health companies for the devices as part of wellness packages.

Click_and_Photo/Thinkstock

‘An idea whose time has come?’

Dr. Espinoza was a co-author on a review published online in the Journal of Diabetes Science and Technology, entitled, “Use of Continuous Glucose Monitors by People Without Diabetes: An Idea Whose Time Has Come?”

The review examines several aspects of the issue, beginning with studies that used CGM to investigate glucose concentrations in people with normal fasting glucose and glucose tolerance tests. Nearly all those individuals – from populations around the world – fell in the blood glucose range of 70-140 mg/dL.

Also reviewed are studies using CGM to study effects of diet, exercise, and stress on glucose levels in people without diabetes. Subsequent sections summarize the limited data that are available suggesting potential benefit for use of CGM in metabolic disease including prediabetes and obesity, non-metabolic conditions such as steroid treatment or parenteral nutrition, health and wellness, and among elite athletes. In that last group, glucose levels in both the hypoglycemic and hyperglycemic ranges during intensive activity have been documented.

Currently, there are four CGM devices that are FDA-approved for use in people with diabetes: FreeStyle Libre (Abbott), the implantable Eversense (Senseonics), and devices from Dexcom and Medtronic.

As Dr. Espinoza and colleagues explain in their review, most of the commercial health and wellness CGM programs, such as Nutrisense, Signos, and Supersapiens, actually use sensors made by those same manufacturers. Nutrisense and Supersapiens use the Libre, and Signos uses the Dexcom.

But, rather than the manufacturer’s apps meant for use by people with diabetes, the wellness companies pair the sensors with their own specially designed apps and typically offer additional services such as health coaching or nutrition counseling “to improve general health.”

Subscribers pay a monthly fee. Signos, for example, charges $399 for 1 month, $199/month for 3 months, or $159/month for 6 months. A prescription is required, but the company’s website says, “rest assured, an independent physician will handle the prescription for you, so you won’t need to arrange for a doctor visit. It is included in the cost of membership.”

Several consumer health product companies are now developing non-invasive glucose monitors, most often as a wristwatch, for people without diabetes to measure glucose optically from the skin in the wrist.

“It remains to be determined how accurate these new devices will be and how they will be regulated,” the researchers write.
 

What to do with the data?

The dedicated health and wellness apps typically provide average glucose and trend data but not the GMI. However, in theory users could access that metric by downloading the manufacturers’ viewing apps – for example, Clarity for Dexcom or LibreView for Libre.

Moreover, a person without diabetes could always obtain an off-label prescription from their physician for a FreeStyle Libre and purchase it at a pharmacy. At Walmart, for example, the cost for two boxes of two glucose meters with 14 days of wear each is $136.77. In that situation as well, users could download the viewing app that contains the summary data including the GMI that could potentially mislead in the setting of consistent normoglycemia.  

Dr. Espinoza said: “I think there’s certainly value in glucose levels. We know the summary metrics are useful in type 1 diabetes. We don’t know which summary metrics are going to be useful in any other disease states. We may need brand new summary metrics for other disease states where it’s not about time in range. Maybe the thing that matters is the frequency or height of spikes. We don’t have a measure for that.”

He added that despite the availability of normative data, “even people without diabetes are a fairly heterogenous group. They can still have insulin resistance, so it’s tricky. From a science standpoint, we probably need studies with hundreds of patients with well-established A1c and [insulin resistance measures], weight, and body mass index. Then and only then will we be able to give an accurate glucose profile.”

In the meantime, “more data is always a good thing, but the hard thing is figuring out what do we do with it. Maybe it’s biofeedback for behavioral modification. We don’t know yet. But these are powerful tools and maybe we should learn how to use them better.”

Dr. Shah has reported receiving research grants and participating in advisory boards for Dexcom and Sanofi US. Dr. Espinoza has reported receiving research funding from the National Institutes of Health and FDA.

A version of this article first appeared on Medscape.com.

Use of continuous glucose monitoring (CGM) by people without diabetes is becoming increasingly popular despite little evidence of benefit thus far, prompting discussion in the diabetes technology community about best practices.

Emerging uses for CGM outside of diabetes include improving glucose patterns to avoid diabetes, improving mental or physical performance, and promoting motivation for healthy behavior change. Such uses are not approved by the Food and Drug Administration and not covered by health insurance, yet a growing number of people are paying digital health companies for the devices as part of wellness packages.

Click_and_Photo/Thinkstock

‘An idea whose time has come?’

Dr. Espinoza was a co-author on a review published online in the Journal of Diabetes Science and Technology, entitled, “Use of Continuous Glucose Monitors by People Without Diabetes: An Idea Whose Time Has Come?”

The review examines several aspects of the issue, beginning with studies that used CGM to investigate glucose concentrations in people with normal fasting glucose and glucose tolerance tests. Nearly all those individuals – from populations around the world – fell in the blood glucose range of 70-140 mg/dL.

Also reviewed are studies using CGM to study effects of diet, exercise, and stress on glucose levels in people without diabetes. Subsequent sections summarize the limited data that are available suggesting potential benefit for use of CGM in metabolic disease including prediabetes and obesity, non-metabolic conditions such as steroid treatment or parenteral nutrition, health and wellness, and among elite athletes. In that last group, glucose levels in both the hypoglycemic and hyperglycemic ranges during intensive activity have been documented.

Currently, there are four CGM devices that are FDA-approved for use in people with diabetes: FreeStyle Libre (Abbott), the implantable Eversense (Senseonics), and devices from Dexcom and Medtronic.

As Dr. Espinoza and colleagues explain in their review, most of the commercial health and wellness CGM programs, such as Nutrisense, Signos, and Supersapiens, actually use sensors made by those same manufacturers. Nutrisense and Supersapiens use the Libre, and Signos uses the Dexcom.

But, rather than the manufacturer’s apps meant for use by people with diabetes, the wellness companies pair the sensors with their own specially designed apps and typically offer additional services such as health coaching or nutrition counseling “to improve general health.”

Subscribers pay a monthly fee. Signos, for example, charges $399 for 1 month, $199/month for 3 months, or $159/month for 6 months. A prescription is required, but the company’s website says, “rest assured, an independent physician will handle the prescription for you, so you won’t need to arrange for a doctor visit. It is included in the cost of membership.”

Several consumer health product companies are now developing non-invasive glucose monitors, most often as a wristwatch, for people without diabetes to measure glucose optically from the skin in the wrist.

“It remains to be determined how accurate these new devices will be and how they will be regulated,” the researchers write.
 

What to do with the data?

The dedicated health and wellness apps typically provide average glucose and trend data but not the GMI. However, in theory users could access that metric by downloading the manufacturers’ viewing apps – for example, Clarity for Dexcom or LibreView for Libre.

Moreover, a person without diabetes could always obtain an off-label prescription from their physician for a FreeStyle Libre and purchase it at a pharmacy. At Walmart, for example, the cost for two boxes of two glucose meters with 14 days of wear each is $136.77. In that situation as well, users could download the viewing app that contains the summary data including the GMI that could potentially mislead in the setting of consistent normoglycemia.  

Dr. Espinoza said: “I think there’s certainly value in glucose levels. We know the summary metrics are useful in type 1 diabetes. We don’t know which summary metrics are going to be useful in any other disease states. We may need brand new summary metrics for other disease states where it’s not about time in range. Maybe the thing that matters is the frequency or height of spikes. We don’t have a measure for that.”

He added that despite the availability of normative data, “even people without diabetes are a fairly heterogenous group. They can still have insulin resistance, so it’s tricky. From a science standpoint, we probably need studies with hundreds of patients with well-established A1c and [insulin resistance measures], weight, and body mass index. Then and only then will we be able to give an accurate glucose profile.”

In the meantime, “more data is always a good thing, but the hard thing is figuring out what do we do with it. Maybe it’s biofeedback for behavioral modification. We don’t know yet. But these are powerful tools and maybe we should learn how to use them better.”

Dr. Shah has reported receiving research grants and participating in advisory boards for Dexcom and Sanofi US. Dr. Espinoza has reported receiving research funding from the National Institutes of Health and FDA.

A version of this article first appeared on Medscape.com.

Artificial intelligence (AI) is impacting many aspects of health care, and radiation oncology is no exception. It has the potential to cut costs and streamline work flows ranging from image analysis to treatment plan formulation, but its specific place in clinical practice is still being debated.

In a session at the annual meeting of the American Society for Radiation Oncology, researchers discussed some of the ways that AI is or will soon be relevant to the clinic. The general consensus was that AI provides a useful supplement but is no threat to replace the role of radiation oncologists.

In his talk, Sanjay Aneja, MD focused on practical applications of AI that are in the clinic or close to being ready. One example is image classification. “There has been recent evidence that suggests in a variety of different kind of scenarios, deep-learning models can be very good at image classification in automated ways,” said Dr. Aneja, who is a professor of radiology at Yale University, New Haven, Conn. He described one study that used AI to classify 14 different pathologies on chest x-ray images.

Dr. Aneja described the open-source nnU-net tool, which automatically configures itself and segments biomedical images for research or clinical purposes, including therapy planning support, intraoperative support, and tumor growth monitoring. The researchers who developed it also created a “recipe” to systematize configuration of nnU-net, making it useful as an out-of-the-box tool for image segmentation.

He predicted that AI will improve radiology oncology by assisting in the determination of disease extent, including microscopic areas of disease. It could also help plan treatment volume and monitor treatment response. “I think that these are the types of things that will be moving toward the clinic in the future; very specific applications and models trained on very specific scenarios that will help us answer a very important clinical question,” Dr. Aneja said.

He expects AI to contribute to auto-segmenting and clinical contouring, “but I will caution everyone that these algorithms have not been proven to be better than physician contours. They very frequently fail in the specific use cases when anatomy is distorted by, I don’t know, say a tumor. And so a lot of times, we don’t actually have the ability to just make it an automated process. I think it’ll be something that physicians will use to help them but not necessarily replace their contouring ability,” Dr. Aneja said.

Another, potentially more useful application, is in adaptive radiation planning. “I think that AI auto-contouring will be very helpful in establishing contours in a situation in which a physician doing them would not be feasible. We need to have nimble and computationally efficient auto segmentation algorithms that will be able to be easily deployed at the linear accelerator,” he said.
 

AI in pathology and treatment selection

In another talk, Osama Mohamad, MD talked about AI in pathology, and specifically treatment selection. He described research from his group that digitized pathology data from 5,500 patients drawn from five randomized, clinical trials. They used AI on data from four of the clinical trials to identify a prognostic biomarker for distant metastasis, then validated it on data from the remaining clinical trial, which compared radiation versus radiation plus short-term hormone therapy in prostate cancer.

The results suggested that most patients should receive hormone therapy, but the AI suggested a more nuanced answer. “Patients who had AI biomarker negative do not see any benefit from adding 4 months of hormone therapy ... whereas patients who have biomarker positive have significant difference and improvement in distant metastasis at 10 years and 15 years. This means that we can save a significant proportion of patients from getting [androgen deprivation therapy], which is hormonal therapy and has very well-known side effects, because they simply they will not benefit,” said Dr. Mohamad, who is an assistant professor of radiation oncology at University of California, San Francisco.

That study relied on the ArteraAI prostate cancer test, which is available through a Clinical Laboratory Improvement Amendment–certified laboratory in Florida.

Another example of AI used to plan treatment is On-line Real-time Benchmarking Informatics Technology for Radiotherapy (ORBIT-RT), developed at the University of California, San Diego. It focuses on radiotherapy treatment plan quality control, and has two main components: creating clinically validated plan routines and a free radiotherapy plan quality control system.

No matter how impressive the technical advances may be, AI contributions won’t impact clinical practice if radiation oncologists, physicians, and patients don’t accept AI. Dr. Aneja’s group surveyed patients about which health field they would feel more comfortable with AI having an important role. Most said they were extremely uncomfortable when it came to cancer. “Now, does that mean that we can’t use AI in oncology? No, I think it just means that we have to be a little bit more nuanced in our approach and how we develop AI solutions for cancer patients,” Dr. Aneja said.

Physicians also show reluctance, according to Alejandro Berlin, MD, who is an affiliate scientist at Princess Margaret Cancer Centre in Toronto. He discussed some research looking at physician acceptance of machine learning. His group looked at physician acceptance of treatment plans for prostate cancer that were generated by physicians and in parallel by machine learning. In a theoretical phase, physicians generally agreed that the machine learning plans were better, but when it came to a phase of the study in which physicians chose which plan to implement in a real patient, the acceptance of machine learning-generated plans dropped by 20%.

This tendency to trust humans over machines is what Dr. Berlin called “automation bias,” and he called for a more collaborative approach to implement AI. “In some cases, [machine learning] is going to be good and sufficient. And in some cases, you will need the expertise of a human.”

Dr. Aneja, who also moderated the session, expressed a similar sentiment when summing up the day’s talks: “I do feel like it’s a disruptive technology ... but I think there will still be a need for us to have people who are trained in order to evaluate and make sure that these algorithms are working correctly and efficiently.”

Dr. Aneja, Dr. Mohamad, and Dr. Berlin have no relevant financial disclosures.

* This article was updated on Nov. 15, 2022.

Artificial intelligence (AI) is impacting many aspects of health care, and radiation oncology is no exception. It has the potential to cut costs and streamline work flows ranging from image analysis to treatment plan formulation, but its specific place in clinical practice is still being debated.

In a session at the annual meeting of the American Society for Radiation Oncology, researchers discussed some of the ways that AI is or will soon be relevant to the clinic. The general consensus was that AI provides a useful supplement but is no threat to replace the role of radiation oncologists.

In his talk, Sanjay Aneja, MD focused on practical applications of AI that are in the clinic or close to being ready. One example is image classification. “There has been recent evidence that suggests in a variety of different kind of scenarios, deep-learning models can be very good at image classification in automated ways,” said Dr. Aneja, who is a professor of radiology at Yale University, New Haven, Conn. He described one study that used AI to classify 14 different pathologies on chest x-ray images.

Dr. Aneja described the open-source nnU-net tool, which automatically configures itself and segments biomedical images for research or clinical purposes, including therapy planning support, intraoperative support, and tumor growth monitoring. The researchers who developed it also created a “recipe” to systematize configuration of nnU-net, making it useful as an out-of-the-box tool for image segmentation.

He predicted that AI will improve radiology oncology by assisting in the determination of disease extent, including microscopic areas of disease. It could also help plan treatment volume and monitor treatment response. “I think that these are the types of things that will be moving toward the clinic in the future; very specific applications and models trained on very specific scenarios that will help us answer a very important clinical question,” Dr. Aneja said.

He expects AI to contribute to auto-segmenting and clinical contouring, “but I will caution everyone that these algorithms have not been proven to be better than physician contours. They very frequently fail in the specific use cases when anatomy is distorted by, I don’t know, say a tumor. And so a lot of times, we don’t actually have the ability to just make it an automated process. I think it’ll be something that physicians will use to help them but not necessarily replace their contouring ability,” Dr. Aneja said.

Another, potentially more useful application, is in adaptive radiation planning. “I think that AI auto-contouring will be very helpful in establishing contours in a situation in which a physician doing them would not be feasible. We need to have nimble and computationally efficient auto segmentation algorithms that will be able to be easily deployed at the linear accelerator,” he said.
 

AI in pathology and treatment selection

In another talk, Osama Mohamad, MD talked about AI in pathology, and specifically treatment selection. He described research from his group that digitized pathology data from 5,500 patients drawn from five randomized, clinical trials. They used AI on data from four of the clinical trials to identify a prognostic biomarker for distant metastasis, then validated it on data from the remaining clinical trial, which compared radiation versus radiation plus short-term hormone therapy in prostate cancer.

The results suggested that most patients should receive hormone therapy, but the AI suggested a more nuanced answer. “Patients who had AI biomarker negative do not see any benefit from adding 4 months of hormone therapy ... whereas patients who have biomarker positive have significant difference and improvement in distant metastasis at 10 years and 15 years. This means that we can save a significant proportion of patients from getting [androgen deprivation therapy], which is hormonal therapy and has very well-known side effects, because they simply they will not benefit,” said Dr. Mohamad, who is an assistant professor of radiation oncology at University of California, San Francisco.

That study relied on the ArteraAI prostate cancer test, which is available through a Clinical Laboratory Improvement Amendment–certified laboratory in Florida.

Another example of AI used to plan treatment is On-line Real-time Benchmarking Informatics Technology for Radiotherapy (ORBIT-RT), developed at the University of California, San Diego. It focuses on radiotherapy treatment plan quality control, and has two main components: creating clinically validated plan routines and a free radiotherapy plan quality control system.

No matter how impressive the technical advances may be, AI contributions won’t impact clinical practice if radiation oncologists, physicians, and patients don’t accept AI. Dr. Aneja’s group surveyed patients about which health field they would feel more comfortable with AI having an important role. Most said they were extremely uncomfortable when it came to cancer. “Now, does that mean that we can’t use AI in oncology? No, I think it just means that we have to be a little bit more nuanced in our approach and how we develop AI solutions for cancer patients,” Dr. Aneja said.

Physicians also show reluctance, according to Alejandro Berlin, MD, who is an affiliate scientist at Princess Margaret Cancer Centre in Toronto. He discussed some research looking at physician acceptance of machine learning. His group looked at physician acceptance of treatment plans for prostate cancer that were generated by physicians and in parallel by machine learning. In a theoretical phase, physicians generally agreed that the machine learning plans were better, but when it came to a phase of the study in which physicians chose which plan to implement in a real patient, the acceptance of machine learning-generated plans dropped by 20%.

This tendency to trust humans over machines is what Dr. Berlin called “automation bias,” and he called for a more collaborative approach to implement AI. “In some cases, [machine learning] is going to be good and sufficient. And in some cases, you will need the expertise of a human.”

Dr. Aneja, who also moderated the session, expressed a similar sentiment when summing up the day’s talks: “I do feel like it’s a disruptive technology ... but I think there will still be a need for us to have people who are trained in order to evaluate and make sure that these algorithms are working correctly and efficiently.”

Dr. Aneja, Dr. Mohamad, and Dr. Berlin have no relevant financial disclosures.

* This article was updated on Nov. 15, 2022.

Artificial intelligence (AI) is impacting many aspects of health care, and radiation oncology is no exception. It has the potential to cut costs and streamline work flows ranging from image analysis to treatment plan formulation, but its specific place in clinical practice is still being debated.

In a session at the annual meeting of the American Society for Radiation Oncology, researchers discussed some of the ways that AI is or will soon be relevant to the clinic. The general consensus was that AI provides a useful supplement but is no threat to replace the role of radiation oncologists.

In his talk, Sanjay Aneja, MD focused on practical applications of AI that are in the clinic or close to being ready. One example is image classification. “There has been recent evidence that suggests in a variety of different kind of scenarios, deep-learning models can be very good at image classification in automated ways,” said Dr. Aneja, who is a professor of radiology at Yale University, New Haven, Conn. He described one study that used AI to classify 14 different pathologies on chest x-ray images.

Dr. Aneja described the open-source nnU-net tool, which automatically configures itself and segments biomedical images for research or clinical purposes, including therapy planning support, intraoperative support, and tumor growth monitoring. The researchers who developed it also created a “recipe” to systematize configuration of nnU-net, making it useful as an out-of-the-box tool for image segmentation.

He predicted that AI will improve radiology oncology by assisting in the determination of disease extent, including microscopic areas of disease. It could also help plan treatment volume and monitor treatment response. “I think that these are the types of things that will be moving toward the clinic in the future; very specific applications and models trained on very specific scenarios that will help us answer a very important clinical question,” Dr. Aneja said.

He expects AI to contribute to auto-segmenting and clinical contouring, “but I will caution everyone that these algorithms have not been proven to be better than physician contours. They very frequently fail in the specific use cases when anatomy is distorted by, I don’t know, say a tumor. And so a lot of times, we don’t actually have the ability to just make it an automated process. I think it’ll be something that physicians will use to help them but not necessarily replace their contouring ability,” Dr. Aneja said.

Another, potentially more useful application, is in adaptive radiation planning. “I think that AI auto-contouring will be very helpful in establishing contours in a situation in which a physician doing them would not be feasible. We need to have nimble and computationally efficient auto segmentation algorithms that will be able to be easily deployed at the linear accelerator,” he said.
 

AI in pathology and treatment selection

In another talk, Osama Mohamad, MD talked about AI in pathology, and specifically treatment selection. He described research from his group that digitized pathology data from 5,500 patients drawn from five randomized, clinical trials. They used AI on data from four of the clinical trials to identify a prognostic biomarker for distant metastasis, then validated it on data from the remaining clinical trial, which compared radiation versus radiation plus short-term hormone therapy in prostate cancer.

The results suggested that most patients should receive hormone therapy, but the AI suggested a more nuanced answer. “Patients who had AI biomarker negative do not see any benefit from adding 4 months of hormone therapy ... whereas patients who have biomarker positive have significant difference and improvement in distant metastasis at 10 years and 15 years. This means that we can save a significant proportion of patients from getting [androgen deprivation therapy], which is hormonal therapy and has very well-known side effects, because they simply they will not benefit,” said Dr. Mohamad, who is an assistant professor of radiation oncology at University of California, San Francisco.

That study relied on the ArteraAI prostate cancer test, which is available through a Clinical Laboratory Improvement Amendment–certified laboratory in Florida.

Another example of AI used to plan treatment is On-line Real-time Benchmarking Informatics Technology for Radiotherapy (ORBIT-RT), developed at the University of California, San Diego. It focuses on radiotherapy treatment plan quality control, and has two main components: creating clinically validated plan routines and a free radiotherapy plan quality control system.

No matter how impressive the technical advances may be, AI contributions won’t impact clinical practice if radiation oncologists, physicians, and patients don’t accept AI. Dr. Aneja’s group surveyed patients about which health field they would feel more comfortable with AI having an important role. Most said they were extremely uncomfortable when it came to cancer. “Now, does that mean that we can’t use AI in oncology? No, I think it just means that we have to be a little bit more nuanced in our approach and how we develop AI solutions for cancer patients,” Dr. Aneja said.

Physicians also show reluctance, according to Alejandro Berlin, MD, who is an affiliate scientist at Princess Margaret Cancer Centre in Toronto. He discussed some research looking at physician acceptance of machine learning. His group looked at physician acceptance of treatment plans for prostate cancer that were generated by physicians and in parallel by machine learning. In a theoretical phase, physicians generally agreed that the machine learning plans were better, but when it came to a phase of the study in which physicians chose which plan to implement in a real patient, the acceptance of machine learning-generated plans dropped by 20%.

This tendency to trust humans over machines is what Dr. Berlin called “automation bias,” and he called for a more collaborative approach to implement AI. “In some cases, [machine learning] is going to be good and sufficient. And in some cases, you will need the expertise of a human.”

Dr. Aneja, who also moderated the session, expressed a similar sentiment when summing up the day’s talks: “I do feel like it’s a disruptive technology ... but I think there will still be a need for us to have people who are trained in order to evaluate and make sure that these algorithms are working correctly and efficiently.”

Dr. Aneja, Dr. Mohamad, and Dr. Berlin have no relevant financial disclosures.

* This article was updated on Nov. 15, 2022.

The American folk hero John Henry pitted his hammer against a mechanical steam drill, only to die of exhaustion after winning the battle. In the legend, John Henry was African American, and it’s a fitting metaphor, according to Justin Xavier Moore, PhD.

It’s a metaphor for accumulated stress over a lifetime, also known as allostatic load. Though it affects everyone, Black, Indigenous, and people of color experience it in excess. “It serves as a symbolism for the plight of African Americans within the United States, that regardless of all the triumph and trying to overcompensate and work just as hard as your counterpart, it oftentimes leads to this overtaxing or exhaustion because your competitor has an unfair advantage. You have Jim Crow laws in the South. We have the history of slavery. We have individuals of racial subgroups that are exposed daily to microaggressions, racial discrimination, stereotypes, redlining, all of these different issues that basically reduce to systemic racism,” said Dr. Moore, who is an assistant professor of medicine at the Medical College of Georgia, Augusta.

Dr. Moore is also a coauthor of a new study published online in SSM–Population Health, which examined the association between increased allostatic load and cancer outcomes among participants in the National Health and Nutrition Examination Survey (NHANES) and the National Death Index. They found that both non-Hispanic Black and non-Hispanic White adults with high allostatic load had about a doubled risk of cancer death.

To determine allostatic load, the researchers looked at nine factors collected in NHANES: abnormal values of BMI, diastolic blood pressure, glycohemoglobin, systolic blood pressure, total cholesterol, serum triglycerides, serum albumin, serum creatinine, and C-reactive protein. “The fact that we’re looking at cardiovascular, metabolic and immune function, all in one gives us a better risk assessment for morbidity and mortality. Allostatic load has actually been associated with cardiovascular disease. I think we are one of the first studies to actually look at whether allostatic load is associated with cancer mortality,” said Dr. Moore.

Previous research coauthored by Dr. Moore showed 20-year old African Americans have an allostatic load comparable with that seen in 30-year-old non-Hispanic Whites. That can lead to a proinflammatory state that might be causing increased cancer risk. But stress isn’t a simple concept to pin down, Dr. Moore said. “One of the founding fathers of public health research and epidemiology, Paracelsus, [said] ‘the dose makes the poison.’ ”

In this case, it means that not all stress is bad. Exercise is good stress. “Your heart rate goes up, you compete, and then it comes back down. That’s healthy. But then there’s those stressful situations like dealing with a horrible job, and a boss that may just be overdemanding. Deadlines, and not having a work-life balance. Too much stress, in this case, can cause cancer death,” Dr. Moore said.

In the study, both non-Hispanic Black adults and non-Hispanic White adults heightened risk of cancer death when dealing with high allostatic load, even though the cause of stress may be different. “It’s almost like the cause of the stress does not matter as much. There are millions of Americans that live in environments that are not conducive to their health. The fact of the matter is that because of racial discrimination, because all these different biases, African Americans may have higher allostatic load, which they did on an average, but high allostatic load for even White people is associated with dying from cancer,” Dr. Moore said.

After adjustment, the researchers found that a high allostatic load was linked to a 14% increased risk of cancer death overall (adjusted subdistributed hazard ratio, 1.14; 95% CI, 1.04-1.26). After stratification by age, high allostatic load was associated with an 80% increased risk of cancer death among adults (SHR, 1.80; 95% CI, 1.35-2.41). Non-Hispanic White adults had a 95% increased risk (SHR, 1.95; 95% CI, 1.22-3.12), non-Hispanic Black adults had a twofold increased risk (SHR, 1.06; 95% CI, 1.27-3.34), and Hispanic adults had a 36% increased risk.

Dr. Moore has no relevant financial disclosures.

The American folk hero John Henry pitted his hammer against a mechanical steam drill, only to die of exhaustion after winning the battle. In the legend, John Henry was African American, and it’s a fitting metaphor, according to Justin Xavier Moore, PhD.

It’s a metaphor for accumulated stress over a lifetime, also known as allostatic load. Though it affects everyone, Black, Indigenous, and people of color experience it in excess. “It serves as a symbolism for the plight of African Americans within the United States, that regardless of all the triumph and trying to overcompensate and work just as hard as your counterpart, it oftentimes leads to this overtaxing or exhaustion because your competitor has an unfair advantage. You have Jim Crow laws in the South. We have the history of slavery. We have individuals of racial subgroups that are exposed daily to microaggressions, racial discrimination, stereotypes, redlining, all of these different issues that basically reduce to systemic racism,” said Dr. Moore, who is an assistant professor of medicine at the Medical College of Georgia, Augusta.

Dr. Moore is also a coauthor of a new study published online in SSM–Population Health, which examined the association between increased allostatic load and cancer outcomes among participants in the National Health and Nutrition Examination Survey (NHANES) and the National Death Index. They found that both non-Hispanic Black and non-Hispanic White adults with high allostatic load had about a doubled risk of cancer death.

To determine allostatic load, the researchers looked at nine factors collected in NHANES: abnormal values of BMI, diastolic blood pressure, glycohemoglobin, systolic blood pressure, total cholesterol, serum triglycerides, serum albumin, serum creatinine, and C-reactive protein. “The fact that we’re looking at cardiovascular, metabolic and immune function, all in one gives us a better risk assessment for morbidity and mortality. Allostatic load has actually been associated with cardiovascular disease. I think we are one of the first studies to actually look at whether allostatic load is associated with cancer mortality,” said Dr. Moore.

Previous research coauthored by Dr. Moore showed 20-year old African Americans have an allostatic load comparable with that seen in 30-year-old non-Hispanic Whites. That can lead to a proinflammatory state that might be causing increased cancer risk. But stress isn’t a simple concept to pin down, Dr. Moore said. “One of the founding fathers of public health research and epidemiology, Paracelsus, [said] ‘the dose makes the poison.’ ”

In this case, it means that not all stress is bad. Exercise is good stress. “Your heart rate goes up, you compete, and then it comes back down. That’s healthy. But then there’s those stressful situations like dealing with a horrible job, and a boss that may just be overdemanding. Deadlines, and not having a work-life balance. Too much stress, in this case, can cause cancer death,” Dr. Moore said.

In the study, both non-Hispanic Black adults and non-Hispanic White adults heightened risk of cancer death when dealing with high allostatic load, even though the cause of stress may be different. “It’s almost like the cause of the stress does not matter as much. There are millions of Americans that live in environments that are not conducive to their health. The fact of the matter is that because of racial discrimination, because all these different biases, African Americans may have higher allostatic load, which they did on an average, but high allostatic load for even White people is associated with dying from cancer,” Dr. Moore said.

After adjustment, the researchers found that a high allostatic load was linked to a 14% increased risk of cancer death overall (adjusted subdistributed hazard ratio, 1.14; 95% CI, 1.04-1.26). After stratification by age, high allostatic load was associated with an 80% increased risk of cancer death among adults (SHR, 1.80; 95% CI, 1.35-2.41). Non-Hispanic White adults had a 95% increased risk (SHR, 1.95; 95% CI, 1.22-3.12), non-Hispanic Black adults had a twofold increased risk (SHR, 1.06; 95% CI, 1.27-3.34), and Hispanic adults had a 36% increased risk.

Dr. Moore has no relevant financial disclosures.

The American folk hero John Henry pitted his hammer against a mechanical steam drill, only to die of exhaustion after winning the battle. In the legend, John Henry was African American, and it’s a fitting metaphor, according to Justin Xavier Moore, PhD.

It’s a metaphor for accumulated stress over a lifetime, also known as allostatic load. Though it affects everyone, Black, Indigenous, and people of color experience it in excess. “It serves as a symbolism for the plight of African Americans within the United States, that regardless of all the triumph and trying to overcompensate and work just as hard as your counterpart, it oftentimes leads to this overtaxing or exhaustion because your competitor has an unfair advantage. You have Jim Crow laws in the South. We have the history of slavery. We have individuals of racial subgroups that are exposed daily to microaggressions, racial discrimination, stereotypes, redlining, all of these different issues that basically reduce to systemic racism,” said Dr. Moore, who is an assistant professor of medicine at the Medical College of Georgia, Augusta.

Dr. Moore is also a coauthor of a new study published online in SSM–Population Health, which examined the association between increased allostatic load and cancer outcomes among participants in the National Health and Nutrition Examination Survey (NHANES) and the National Death Index. They found that both non-Hispanic Black and non-Hispanic White adults with high allostatic load had about a doubled risk of cancer death.

To determine allostatic load, the researchers looked at nine factors collected in NHANES: abnormal values of BMI, diastolic blood pressure, glycohemoglobin, systolic blood pressure, total cholesterol, serum triglycerides, serum albumin, serum creatinine, and C-reactive protein. “The fact that we’re looking at cardiovascular, metabolic and immune function, all in one gives us a better risk assessment for morbidity and mortality. Allostatic load has actually been associated with cardiovascular disease. I think we are one of the first studies to actually look at whether allostatic load is associated with cancer mortality,” said Dr. Moore.

Previous research coauthored by Dr. Moore showed 20-year old African Americans have an allostatic load comparable with that seen in 30-year-old non-Hispanic Whites. That can lead to a proinflammatory state that might be causing increased cancer risk. But stress isn’t a simple concept to pin down, Dr. Moore said. “One of the founding fathers of public health research and epidemiology, Paracelsus, [said] ‘the dose makes the poison.’ ”

In this case, it means that not all stress is bad. Exercise is good stress. “Your heart rate goes up, you compete, and then it comes back down. That’s healthy. But then there’s those stressful situations like dealing with a horrible job, and a boss that may just be overdemanding. Deadlines, and not having a work-life balance. Too much stress, in this case, can cause cancer death,” Dr. Moore said.

In the study, both non-Hispanic Black adults and non-Hispanic White adults heightened risk of cancer death when dealing with high allostatic load, even though the cause of stress may be different. “It’s almost like the cause of the stress does not matter as much. There are millions of Americans that live in environments that are not conducive to their health. The fact of the matter is that because of racial discrimination, because all these different biases, African Americans may have higher allostatic load, which they did on an average, but high allostatic load for even White people is associated with dying from cancer,” Dr. Moore said.

After adjustment, the researchers found that a high allostatic load was linked to a 14% increased risk of cancer death overall (adjusted subdistributed hazard ratio, 1.14; 95% CI, 1.04-1.26). After stratification by age, high allostatic load was associated with an 80% increased risk of cancer death among adults (SHR, 1.80; 95% CI, 1.35-2.41). Non-Hispanic White adults had a 95% increased risk (SHR, 1.95; 95% CI, 1.22-3.12), non-Hispanic Black adults had a twofold increased risk (SHR, 1.06; 95% CI, 1.27-3.34), and Hispanic adults had a 36% increased risk.

Dr. Moore has no relevant financial disclosures.