CHEST Physician

The newest version of the COVID-19 vaccine will be available by the end of September, according to the Centers for Disease Control and Prevention. 

The updated vaccine still needs final sign-offs from the Food and Drug Administration and the CDC.

“We anticipate that they are going to be available for most folks by the third or fourth week of September,” Director Mandy Cohen, MD, MPH, said on a podcast hosted by former White House COVID adviser Andy Slavitt. “We are likely to see this as a recommendation as an annual COVID shot, just as we have an annual flu shot. I think that will give folks more clarity on whether they should get one or not.”

For people who are considering now whether they should get the currently available COVID vaccine or wait until the new one comes out, Dr. Cohen said that depends on a person’s individual risk. People who are 65 or older or who have multiple health conditions should go ahead and get the currently available shot if it’s been more than 6-8 months since their last dose. For all other people, it’s OK to wait for the new version.

Analysts expect low demand for the updated vaccine. About 240 million people in the United States got at least one dose when vaccines first became available in 2021, Reuters reported, but that number dropped to less than 50 million getting the most updated shot in the fall of 2022.

“Take a look at what happened last winter. It was 50 million in the U.S., and it seems likely to be lower than that, given that there’s less concern about COVID this year than last year,” Michael Yee, a health care industry analyst for the firm Jefferies, told Reuters.

Dr. Cohen noted during the podcast that the recent uptick in virus activity should be taken in context. 

“What we’re seeing right now in August of 2023 are small increases of folks getting COVID. We are still at some of the lowest hospitalizations that we’ve been at in the past 3 years,” she said. “Even a 10% increase on a very, very small number is still very small. My level of concern continues to be low.”

A version of this article was first published on WebMD.com .

The newest version of the COVID-19 vaccine will be available by the end of September, according to the Centers for Disease Control and Prevention. 

The updated vaccine still needs final sign-offs from the Food and Drug Administration and the CDC.

“We anticipate that they are going to be available for most folks by the third or fourth week of September,” Director Mandy Cohen, MD, MPH, said on a podcast hosted by former White House COVID adviser Andy Slavitt. “We are likely to see this as a recommendation as an annual COVID shot, just as we have an annual flu shot. I think that will give folks more clarity on whether they should get one or not.”

For people who are considering now whether they should get the currently available COVID vaccine or wait until the new one comes out, Dr. Cohen said that depends on a person’s individual risk. People who are 65 or older or who have multiple health conditions should go ahead and get the currently available shot if it’s been more than 6-8 months since their last dose. For all other people, it’s OK to wait for the new version.

Analysts expect low demand for the updated vaccine. About 240 million people in the United States got at least one dose when vaccines first became available in 2021, Reuters reported, but that number dropped to less than 50 million getting the most updated shot in the fall of 2022.

“Take a look at what happened last winter. It was 50 million in the U.S., and it seems likely to be lower than that, given that there’s less concern about COVID this year than last year,” Michael Yee, a health care industry analyst for the firm Jefferies, told Reuters.

Dr. Cohen noted during the podcast that the recent uptick in virus activity should be taken in context. 

“What we’re seeing right now in August of 2023 are small increases of folks getting COVID. We are still at some of the lowest hospitalizations that we’ve been at in the past 3 years,” she said. “Even a 10% increase on a very, very small number is still very small. My level of concern continues to be low.”

A version of this article was first published on WebMD.com .

The newest version of the COVID-19 vaccine will be available by the end of September, according to the Centers for Disease Control and Prevention. 

The updated vaccine still needs final sign-offs from the Food and Drug Administration and the CDC.

“We anticipate that they are going to be available for most folks by the third or fourth week of September,” Director Mandy Cohen, MD, MPH, said on a podcast hosted by former White House COVID adviser Andy Slavitt. “We are likely to see this as a recommendation as an annual COVID shot, just as we have an annual flu shot. I think that will give folks more clarity on whether they should get one or not.”

For people who are considering now whether they should get the currently available COVID vaccine or wait until the new one comes out, Dr. Cohen said that depends on a person’s individual risk. People who are 65 or older or who have multiple health conditions should go ahead and get the currently available shot if it’s been more than 6-8 months since their last dose. For all other people, it’s OK to wait for the new version.

Analysts expect low demand for the updated vaccine. About 240 million people in the United States got at least one dose when vaccines first became available in 2021, Reuters reported, but that number dropped to less than 50 million getting the most updated shot in the fall of 2022.

“Take a look at what happened last winter. It was 50 million in the U.S., and it seems likely to be lower than that, given that there’s less concern about COVID this year than last year,” Michael Yee, a health care industry analyst for the firm Jefferies, told Reuters.

Dr. Cohen noted during the podcast that the recent uptick in virus activity should be taken in context. 

“What we’re seeing right now in August of 2023 are small increases of folks getting COVID. We are still at some of the lowest hospitalizations that we’ve been at in the past 3 years,” she said. “Even a 10% increase on a very, very small number is still very small. My level of concern continues to be low.”

A version of this article was first published on WebMD.com .

Approximately one-quarter of adults who experience long COVID report activity limitations that do not change over time, based on data from national sample of nonhospitalized individuals.

Symptoms of long COVID, an ongoing medical condition that occurs in the wake of COVID-19 infection, include respiratory, neurologic, cardiovascular, or other complications that may last for weeks, months, or years after infection.

Current estimates of the incidence of long COVID in the United States range from 7.5% to 41%, according to Nicole D. Ford, PhD, of the Centers for Disease Control and Prevention, Atlanta, and colleagues. Long COVID has shown a significant effect on patients’ quality of life, functional status, and ability to work, but the impact on activity limitation in particular has not been examined, the researchers said.

In a study published in the Centers for Disease Control and Prevention’s Morbidity and Mortality Weekly Report (MMWR), the researchers reviewed data from surveys conducted between June 1 and 13, 2022, and June 7 and 19, 2023. The data came from the Census Bureau’s Household Pulse Survey (HPS), a cross-sectional national survey designed to measure the social and economic effects of COVID-19 on U.S. households. Surveys were conducted in 2-week cycles (2 weeks on, 2 weeks off). Questions about long COVID were added to the survey beginning on June 1, 2022, and questions about activity limitations from long COVID were added on Sept. 14, 2022, including questions about participants’ abilities to perform daily activities before and after COVID-19 infection.

Overall, the prevalence of long COVID decreased from 7.5% to 6.0% in U.S. adults aged 18 years and older during the study period. However, when stratified by age group, the decline was significant only in adults older than 60 years, and 1 in 10 adults with a history of COVID-19 reported long COVID at the end of the study period.

Among respondents with long COVID, 26.4% of respondents for time period of June 7-19, 2023, reported significant activity limitations, which remained unchanged over time, with no clear pattern in activity limitations across age groups, the researchers said.

Prevalence of long COVID was highest for individuals in middle adulthood (aged 30-39 years, 40-49 years, and 50-59 years) and lowest for younger adults (18-29 years) and older adults (aged 60 years and older). The prevalence of long COVID decreased by 1.16% per survey cycle between the June 1-13 and Jan. 4-16 cycles, but then remained stable, with a decrease of 0.01% per cycle between June 1-13, 2022, and Jan. 4-16, 2023.

Previous studies have shown that activity limitations resulting from long COVID can significantly affect quality of life and functional status, as well as the ability to work or care for others. A recent study in the United Kingdom showed that quality of life scores among long COVID patients were similar to those of individuals with advanced cancer, and more than half of the long COVID patients reported moderately severe functional impairment. “The larger economic and societal impact of long COVID could be far-reaching if working-age adults are unable to maintain employment or care for children or aging parents,” the researchers said.

The current study findings were limited by several factors including potential coverage bias in the survey sample, the relatively low survey response rate, and the inability to collect data on duration of symptoms, COVID-19 vaccination status, treatment during acute infection, and time since COVID-19 illness; any of these factors could affect the reported prevalence of long COVID, the researchers noted.

However, the results suggest the need for continued attention to COVID-19 prevention efforts, including not only staying current with recommended COVID-19 vaccination, but also planning for symptom management and health care service needs of long COVID patients, they concluded.
 

More data are needed to tease out patterns

“Physicians and patients are still trying to understand long COVID and its implications for the health of affected individuals,” said Noel Deep, MD, in an interview.

The current study shows a prevalence of long COVID in approximately 11% of COVID patients, which is a significant number, said Dr. Deep, a general internist in private practice in Antigo, Wisc., who was not involved in the study. Dr. Deep also serves as chief medical officer and a staff physician at Aspirus Langlade Hospital in Antigo.

The study also was useful to illustrate a decline in the incidence of people affected by long COVID symptoms in the United States and in other countries, he said.

Dr. Deep noted that despite the persistent prevalence of long COVID symptoms overall, he was encouraged by the findings that older adults “who tend to have other underlying health conditions that could put them at a higher risk for adverse health outcomes” reported fewer long COVID symptoms than younger adults.

However, he noted that the high incidence of long COVID symptoms in able-bodied individuals in their 30s and 40s may affect their the economic situations as well as their ability to care for elderly relatives and children who might be dependent on them.

“Physicians and other clinicians should be aware of the symptoms and impacts caused by long COVID,” Dr. Deep said in an interview. “These individuals usually present with a myriad of vague and varying symptoms. Physicians should be cognizant of this situation, ask about previous infection with COVID-19, and utilize the resources of long COVID clinics where available,” he said.

Several factors can affect the assessment and management of patients with long COVID symptoms in primary care practices, said Dr. Deep. First and foremost are the time constraints of detailed evaluation and testing, he said.

Second, primary care clinicians need to be aware of the different symptoms that may be indicative of long COVID including fatigue, neurocognitive symptoms such as brain fog or memory disturbance, respiratory symptoms, and cardiovascular symptoms, as well as olfactory and gustatory symptoms. “These symptoms can be confounded by underlying health conditions, especially in elderly individuals,” he noted.

“Recommendations and guidelines are evolving regarding the evaluation and management of patients with long COVID that should help physicians and other clinicians in the future,” said Dr. Deep.

In the meantime, having a high index of suspicion, paying attention to the symptoms described by the patient, and taking a proper history with regard to previous COVID-19 infection should help overcome some of these challenges, he said.

The study received no outside funding. The researchers had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose and serves on the Editorial Advisory Board of Internal Medicine News.

Approximately one-quarter of adults who experience long COVID report activity limitations that do not change over time, based on data from national sample of nonhospitalized individuals.

Symptoms of long COVID, an ongoing medical condition that occurs in the wake of COVID-19 infection, include respiratory, neurologic, cardiovascular, or other complications that may last for weeks, months, or years after infection.

Current estimates of the incidence of long COVID in the United States range from 7.5% to 41%, according to Nicole D. Ford, PhD, of the Centers for Disease Control and Prevention, Atlanta, and colleagues. Long COVID has shown a significant effect on patients’ quality of life, functional status, and ability to work, but the impact on activity limitation in particular has not been examined, the researchers said.

In a study published in the Centers for Disease Control and Prevention’s Morbidity and Mortality Weekly Report (MMWR), the researchers reviewed data from surveys conducted between June 1 and 13, 2022, and June 7 and 19, 2023. The data came from the Census Bureau’s Household Pulse Survey (HPS), a cross-sectional national survey designed to measure the social and economic effects of COVID-19 on U.S. households. Surveys were conducted in 2-week cycles (2 weeks on, 2 weeks off). Questions about long COVID were added to the survey beginning on June 1, 2022, and questions about activity limitations from long COVID were added on Sept. 14, 2022, including questions about participants’ abilities to perform daily activities before and after COVID-19 infection.

Overall, the prevalence of long COVID decreased from 7.5% to 6.0% in U.S. adults aged 18 years and older during the study period. However, when stratified by age group, the decline was significant only in adults older than 60 years, and 1 in 10 adults with a history of COVID-19 reported long COVID at the end of the study period.

Among respondents with long COVID, 26.4% of respondents for time period of June 7-19, 2023, reported significant activity limitations, which remained unchanged over time, with no clear pattern in activity limitations across age groups, the researchers said.

Prevalence of long COVID was highest for individuals in middle adulthood (aged 30-39 years, 40-49 years, and 50-59 years) and lowest for younger adults (18-29 years) and older adults (aged 60 years and older). The prevalence of long COVID decreased by 1.16% per survey cycle between the June 1-13 and Jan. 4-16 cycles, but then remained stable, with a decrease of 0.01% per cycle between June 1-13, 2022, and Jan. 4-16, 2023.

Previous studies have shown that activity limitations resulting from long COVID can significantly affect quality of life and functional status, as well as the ability to work or care for others. A recent study in the United Kingdom showed that quality of life scores among long COVID patients were similar to those of individuals with advanced cancer, and more than half of the long COVID patients reported moderately severe functional impairment. “The larger economic and societal impact of long COVID could be far-reaching if working-age adults are unable to maintain employment or care for children or aging parents,” the researchers said.

The current study findings were limited by several factors including potential coverage bias in the survey sample, the relatively low survey response rate, and the inability to collect data on duration of symptoms, COVID-19 vaccination status, treatment during acute infection, and time since COVID-19 illness; any of these factors could affect the reported prevalence of long COVID, the researchers noted.

However, the results suggest the need for continued attention to COVID-19 prevention efforts, including not only staying current with recommended COVID-19 vaccination, but also planning for symptom management and health care service needs of long COVID patients, they concluded.
 

More data are needed to tease out patterns

“Physicians and patients are still trying to understand long COVID and its implications for the health of affected individuals,” said Noel Deep, MD, in an interview.

The current study shows a prevalence of long COVID in approximately 11% of COVID patients, which is a significant number, said Dr. Deep, a general internist in private practice in Antigo, Wisc., who was not involved in the study. Dr. Deep also serves as chief medical officer and a staff physician at Aspirus Langlade Hospital in Antigo.

The study also was useful to illustrate a decline in the incidence of people affected by long COVID symptoms in the United States and in other countries, he said.

Dr. Deep noted that despite the persistent prevalence of long COVID symptoms overall, he was encouraged by the findings that older adults “who tend to have other underlying health conditions that could put them at a higher risk for adverse health outcomes” reported fewer long COVID symptoms than younger adults.

However, he noted that the high incidence of long COVID symptoms in able-bodied individuals in their 30s and 40s may affect their the economic situations as well as their ability to care for elderly relatives and children who might be dependent on them.

“Physicians and other clinicians should be aware of the symptoms and impacts caused by long COVID,” Dr. Deep said in an interview. “These individuals usually present with a myriad of vague and varying symptoms. Physicians should be cognizant of this situation, ask about previous infection with COVID-19, and utilize the resources of long COVID clinics where available,” he said.

Several factors can affect the assessment and management of patients with long COVID symptoms in primary care practices, said Dr. Deep. First and foremost are the time constraints of detailed evaluation and testing, he said.

Second, primary care clinicians need to be aware of the different symptoms that may be indicative of long COVID including fatigue, neurocognitive symptoms such as brain fog or memory disturbance, respiratory symptoms, and cardiovascular symptoms, as well as olfactory and gustatory symptoms. “These symptoms can be confounded by underlying health conditions, especially in elderly individuals,” he noted.

“Recommendations and guidelines are evolving regarding the evaluation and management of patients with long COVID that should help physicians and other clinicians in the future,” said Dr. Deep.

In the meantime, having a high index of suspicion, paying attention to the symptoms described by the patient, and taking a proper history with regard to previous COVID-19 infection should help overcome some of these challenges, he said.

The study received no outside funding. The researchers had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose and serves on the Editorial Advisory Board of Internal Medicine News.

Approximately one-quarter of adults who experience long COVID report activity limitations that do not change over time, based on data from national sample of nonhospitalized individuals.

Symptoms of long COVID, an ongoing medical condition that occurs in the wake of COVID-19 infection, include respiratory, neurologic, cardiovascular, or other complications that may last for weeks, months, or years after infection.

Current estimates of the incidence of long COVID in the United States range from 7.5% to 41%, according to Nicole D. Ford, PhD, of the Centers for Disease Control and Prevention, Atlanta, and colleagues. Long COVID has shown a significant effect on patients’ quality of life, functional status, and ability to work, but the impact on activity limitation in particular has not been examined, the researchers said.

In a study published in the Centers for Disease Control and Prevention’s Morbidity and Mortality Weekly Report (MMWR), the researchers reviewed data from surveys conducted between June 1 and 13, 2022, and June 7 and 19, 2023. The data came from the Census Bureau’s Household Pulse Survey (HPS), a cross-sectional national survey designed to measure the social and economic effects of COVID-19 on U.S. households. Surveys were conducted in 2-week cycles (2 weeks on, 2 weeks off). Questions about long COVID were added to the survey beginning on June 1, 2022, and questions about activity limitations from long COVID were added on Sept. 14, 2022, including questions about participants’ abilities to perform daily activities before and after COVID-19 infection.

Overall, the prevalence of long COVID decreased from 7.5% to 6.0% in U.S. adults aged 18 years and older during the study period. However, when stratified by age group, the decline was significant only in adults older than 60 years, and 1 in 10 adults with a history of COVID-19 reported long COVID at the end of the study period.

Among respondents with long COVID, 26.4% of respondents for time period of June 7-19, 2023, reported significant activity limitations, which remained unchanged over time, with no clear pattern in activity limitations across age groups, the researchers said.

Prevalence of long COVID was highest for individuals in middle adulthood (aged 30-39 years, 40-49 years, and 50-59 years) and lowest for younger adults (18-29 years) and older adults (aged 60 years and older). The prevalence of long COVID decreased by 1.16% per survey cycle between the June 1-13 and Jan. 4-16 cycles, but then remained stable, with a decrease of 0.01% per cycle between June 1-13, 2022, and Jan. 4-16, 2023.

Previous studies have shown that activity limitations resulting from long COVID can significantly affect quality of life and functional status, as well as the ability to work or care for others. A recent study in the United Kingdom showed that quality of life scores among long COVID patients were similar to those of individuals with advanced cancer, and more than half of the long COVID patients reported moderately severe functional impairment. “The larger economic and societal impact of long COVID could be far-reaching if working-age adults are unable to maintain employment or care for children or aging parents,” the researchers said.

The current study findings were limited by several factors including potential coverage bias in the survey sample, the relatively low survey response rate, and the inability to collect data on duration of symptoms, COVID-19 vaccination status, treatment during acute infection, and time since COVID-19 illness; any of these factors could affect the reported prevalence of long COVID, the researchers noted.

However, the results suggest the need for continued attention to COVID-19 prevention efforts, including not only staying current with recommended COVID-19 vaccination, but also planning for symptom management and health care service needs of long COVID patients, they concluded.
 

More data are needed to tease out patterns

“Physicians and patients are still trying to understand long COVID and its implications for the health of affected individuals,” said Noel Deep, MD, in an interview.

The current study shows a prevalence of long COVID in approximately 11% of COVID patients, which is a significant number, said Dr. Deep, a general internist in private practice in Antigo, Wisc., who was not involved in the study. Dr. Deep also serves as chief medical officer and a staff physician at Aspirus Langlade Hospital in Antigo.

The study also was useful to illustrate a decline in the incidence of people affected by long COVID symptoms in the United States and in other countries, he said.

Dr. Deep noted that despite the persistent prevalence of long COVID symptoms overall, he was encouraged by the findings that older adults “who tend to have other underlying health conditions that could put them at a higher risk for adverse health outcomes” reported fewer long COVID symptoms than younger adults.

However, he noted that the high incidence of long COVID symptoms in able-bodied individuals in their 30s and 40s may affect their the economic situations as well as their ability to care for elderly relatives and children who might be dependent on them.

“Physicians and other clinicians should be aware of the symptoms and impacts caused by long COVID,” Dr. Deep said in an interview. “These individuals usually present with a myriad of vague and varying symptoms. Physicians should be cognizant of this situation, ask about previous infection with COVID-19, and utilize the resources of long COVID clinics where available,” he said.

Several factors can affect the assessment and management of patients with long COVID symptoms in primary care practices, said Dr. Deep. First and foremost are the time constraints of detailed evaluation and testing, he said.

Second, primary care clinicians need to be aware of the different symptoms that may be indicative of long COVID including fatigue, neurocognitive symptoms such as brain fog or memory disturbance, respiratory symptoms, and cardiovascular symptoms, as well as olfactory and gustatory symptoms. “These symptoms can be confounded by underlying health conditions, especially in elderly individuals,” he noted.

“Recommendations and guidelines are evolving regarding the evaluation and management of patients with long COVID that should help physicians and other clinicians in the future,” said Dr. Deep.

In the meantime, having a high index of suspicion, paying attention to the symptoms described by the patient, and taking a proper history with regard to previous COVID-19 infection should help overcome some of these challenges, he said.

The study received no outside funding. The researchers had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose and serves on the Editorial Advisory Board of Internal Medicine News.

More than 3 years into the COVID-19 era, most Americans have settled back into their prepandemic lifestyles. But a new dominant variant and rising hospitalization numbers may give way to another summer surge.

Since April, a new COVID variant has cropped up. According to recent Centers for Disease Control and Prevention data, EG.5 – from the Omicron family – now makes up 17% of all cases in the United States, up from 7.5% in the first week of July. 

A summary from the Center for Infectious Disease Research and Policy at the University of Minnesota says that EG.5, nicknamed “Eris” by health trackers, is nearly the same as its parent strain, XBB.1.9.2, but has one extra spike mutation. 

Along with the news of EG.5’s growing prevalence, COVID-related hospitalization rates have increased by 12.5% during the week ending on July 29 – the most significant uptick since December. Still, no connection has been made between the new variant and rising hospital admissions. And so far, experts have found no difference in the severity of illness or symptoms between Eris and the strains that came before it.
 

Cause for concern?

The COVID virus has a great tendency to mutate, said William Schaffner, MD, a professor of infectious diseases at Vanderbilt University, Nashville, Tenn. 

“Fortunately, these are relatively minor mutations.” Even so, SARS-CoV-2, the virus that causes COVID-19, continues to be highly contagious. “There isn’t any doubt that it’s spreading – but it’s not more serious.”

So, Dr. Schaffner doesn’t think it’s time to panic. He prefers calling it an “uptick” in cases instead of a “surge,” because a surge “sounds too big.”

While the numbers are still low, compared with 2022’s summer surge, experts still urge people to stay aware of changes in the virus. “I do not think that there is any cause for alarm,” agreed Bernard Camins, MD, an infectious disease specialist at Mount Sinai Hospital, New York.

So why the higher number of cases? “There has been an increase in COVID cases this summer, probably related to travel, socializing, and dwindling masking,” said Anne Liu, MD, an allergy, immunology, and infectious disease specialist at Stanford (Calif.) University. Even so, “because of an existing level of immunity from vaccination and prior infections, it has been limited and case severity has been lower than in prior surges.”
 

What the official numbers say

The CDC no longer updates its COVID Data Tracker Weekly Review. They stopped in May 2023 when the federal public health emergency ended.

But the agency continues to track COVID-19 cases, hospitalizations, ED visits, and deaths in different ways. The key takeaways include 9,056 new hospitalizations reported for the week ending July 29, 2023. That is relatively low, compared with July 30, 2022, when the weekly new hospitalization numbers topped 44,000. 

“Last year, we saw a summer wave with cases peaking around mid-July. In that sense, our summer wave is coming a bit later than last year,” said Pavitra Roychoudhury, PhD, an assistant professor and researcher in the vaccine and infectious disease division at the University of Washington, Seattle. 

“It’s unclear how high the peak will be during this current wave. Levels of SARS-CoV-2 in wastewater, as well as the number of hospitalizations, are currently lower than this time last year.” 

For part of the pandemic, the CDC recommended people monitor COVID numbers in their own communities. But the agency’s local guidance on COVID is tied to hospital admission levels, which are currently low for more than 99% of the country, even if they are increasing. 

So, while it’s good news that hospitalization numbers are smaller, it means the agency’s ability to identify local outbreaks or hot spots of SARS-CoV-2 is now more limited. 

It’s not just an uptick in hospitalizations nationwide, as other COVID-19 indicators, including ED visits, positive tests, and wastewater levels, are increasing across the United States. 

In terms of other metrics: 

• On June 19, 0.47% of ED visits resulted in a positive COVID diagnosis. On Aug. 4, that rate had more than doubled to 1.1%. 
• On July 29, 8.9% of people who took a COVID test reported a positive result. The positivity rate has been increasing since June 10, when 4.1% of tests came back positive. This figure only includes test results reported to the CDC. Results of home testing remain largely unknown. 
• The weekly percentage of deaths related to COVID-19 was 1% as of July 29. That’s low, compared with previous rates. For example, for the week ending July 30, 2022, it was 5.8%.

What about new COVID vaccines?

As long as the general public continue to make informed decisions and get the new Omicron vaccine or booster once it’s available, experts predict lower hospitalization rates this winter. 

“Everyone should get the Omicron booster when it becomes available,” recommended Dean Winslow, MD, a professor of medicine at Stanford University. 

In the meantime, “it is important to emphasize that COVID-19 is going to be with us for the foreseeable future,” he said. Since the symptoms linked to these newer Omicron subvariants are generally milder than with earlier variants, “if one has even mild cold symptoms, it is a good idea to test yourself for COVID-19 and start treatment early if one is elderly or otherwise at high risk for severe disease.”

Dr. Schaffner remains optimistic for now. “We anticipate that the vaccines we currently have available, and certainly the vaccine that is being developed for this fall, will continue to prevent severe disease associated with this virus.”

Although it’s difficult to predict an exact time line, Dr. Schaffner said they could be available by the end of September. 

His predictions assume “that we don’t have a new nasty variant that crops up somewhere in the world,” he said. “[If] things continue to move the way they have been, we anticipate that this vaccine ... will be really effective and help us keep out of the hospital during this winter, when we expect more of an increase of COVID once again.” 

Asked for his outlook on vaccine recommendations, Dr. Camins was less certain. “It is too soon to tell.” Guidance on COVID shots will be based on results of ongoing studies. “It would be prudent, however, for everyone to plan on getting the flu shot in September.”

Stay alert and stay realistic

Cautious optimism and a call to remain vigilant seem like the consensus at the moment. While the numbers remain low so far and the uptick in new cases and hospitalizations are relatively small, compared with past scenarios, “it makes sense to boost our anti-Omicron antibody levels with immunizations before fall and winter,” Dr. Liu said. 

“It’s just advisable for everyone – especially those who are at higher risk for hospitalization or death – to be aware,” Dr. Camins said, “so they can form their own decisions to participate in activities that may put them at risk for contracting COVID-19.”

While respiratory virus work best at keeping people with the flu, COVID, or RSV out of the hospital, they’re not as good at preventing milder infections. Dr. Schaffner said: “If we don’t expect perfection, we won’t be so disappointed.”

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

More than 3 years into the COVID-19 era, most Americans have settled back into their prepandemic lifestyles. But a new dominant variant and rising hospitalization numbers may give way to another summer surge.

Since April, a new COVID variant has cropped up. According to recent Centers for Disease Control and Prevention data, EG.5 – from the Omicron family – now makes up 17% of all cases in the United States, up from 7.5% in the first week of July. 

A summary from the Center for Infectious Disease Research and Policy at the University of Minnesota says that EG.5, nicknamed “Eris” by health trackers, is nearly the same as its parent strain, XBB.1.9.2, but has one extra spike mutation. 

Along with the news of EG.5’s growing prevalence, COVID-related hospitalization rates have increased by 12.5% during the week ending on July 29 – the most significant uptick since December. Still, no connection has been made between the new variant and rising hospital admissions. And so far, experts have found no difference in the severity of illness or symptoms between Eris and the strains that came before it.
 

Cause for concern?

The COVID virus has a great tendency to mutate, said William Schaffner, MD, a professor of infectious diseases at Vanderbilt University, Nashville, Tenn. 

“Fortunately, these are relatively minor mutations.” Even so, SARS-CoV-2, the virus that causes COVID-19, continues to be highly contagious. “There isn’t any doubt that it’s spreading – but it’s not more serious.”

So, Dr. Schaffner doesn’t think it’s time to panic. He prefers calling it an “uptick” in cases instead of a “surge,” because a surge “sounds too big.”

While the numbers are still low, compared with 2022’s summer surge, experts still urge people to stay aware of changes in the virus. “I do not think that there is any cause for alarm,” agreed Bernard Camins, MD, an infectious disease specialist at Mount Sinai Hospital, New York.

So why the higher number of cases? “There has been an increase in COVID cases this summer, probably related to travel, socializing, and dwindling masking,” said Anne Liu, MD, an allergy, immunology, and infectious disease specialist at Stanford (Calif.) University. Even so, “because of an existing level of immunity from vaccination and prior infections, it has been limited and case severity has been lower than in prior surges.”
 

What the official numbers say

The CDC no longer updates its COVID Data Tracker Weekly Review. They stopped in May 2023 when the federal public health emergency ended.

But the agency continues to track COVID-19 cases, hospitalizations, ED visits, and deaths in different ways. The key takeaways include 9,056 new hospitalizations reported for the week ending July 29, 2023. That is relatively low, compared with July 30, 2022, when the weekly new hospitalization numbers topped 44,000. 

“Last year, we saw a summer wave with cases peaking around mid-July. In that sense, our summer wave is coming a bit later than last year,” said Pavitra Roychoudhury, PhD, an assistant professor and researcher in the vaccine and infectious disease division at the University of Washington, Seattle. 

“It’s unclear how high the peak will be during this current wave. Levels of SARS-CoV-2 in wastewater, as well as the number of hospitalizations, are currently lower than this time last year.” 

For part of the pandemic, the CDC recommended people monitor COVID numbers in their own communities. But the agency’s local guidance on COVID is tied to hospital admission levels, which are currently low for more than 99% of the country, even if they are increasing. 

So, while it’s good news that hospitalization numbers are smaller, it means the agency’s ability to identify local outbreaks or hot spots of SARS-CoV-2 is now more limited. 

It’s not just an uptick in hospitalizations nationwide, as other COVID-19 indicators, including ED visits, positive tests, and wastewater levels, are increasing across the United States. 

In terms of other metrics: 

• On June 19, 0.47% of ED visits resulted in a positive COVID diagnosis. On Aug. 4, that rate had more than doubled to 1.1%. 
• On July 29, 8.9% of people who took a COVID test reported a positive result. The positivity rate has been increasing since June 10, when 4.1% of tests came back positive. This figure only includes test results reported to the CDC. Results of home testing remain largely unknown. 
• The weekly percentage of deaths related to COVID-19 was 1% as of July 29. That’s low, compared with previous rates. For example, for the week ending July 30, 2022, it was 5.8%.

What about new COVID vaccines?

As long as the general public continue to make informed decisions and get the new Omicron vaccine or booster once it’s available, experts predict lower hospitalization rates this winter. 

“Everyone should get the Omicron booster when it becomes available,” recommended Dean Winslow, MD, a professor of medicine at Stanford University. 

In the meantime, “it is important to emphasize that COVID-19 is going to be with us for the foreseeable future,” he said. Since the symptoms linked to these newer Omicron subvariants are generally milder than with earlier variants, “if one has even mild cold symptoms, it is a good idea to test yourself for COVID-19 and start treatment early if one is elderly or otherwise at high risk for severe disease.”

Dr. Schaffner remains optimistic for now. “We anticipate that the vaccines we currently have available, and certainly the vaccine that is being developed for this fall, will continue to prevent severe disease associated with this virus.”

Although it’s difficult to predict an exact time line, Dr. Schaffner said they could be available by the end of September. 

His predictions assume “that we don’t have a new nasty variant that crops up somewhere in the world,” he said. “[If] things continue to move the way they have been, we anticipate that this vaccine ... will be really effective and help us keep out of the hospital during this winter, when we expect more of an increase of COVID once again.” 

Asked for his outlook on vaccine recommendations, Dr. Camins was less certain. “It is too soon to tell.” Guidance on COVID shots will be based on results of ongoing studies. “It would be prudent, however, for everyone to plan on getting the flu shot in September.”

Stay alert and stay realistic

Cautious optimism and a call to remain vigilant seem like the consensus at the moment. While the numbers remain low so far and the uptick in new cases and hospitalizations are relatively small, compared with past scenarios, “it makes sense to boost our anti-Omicron antibody levels with immunizations before fall and winter,” Dr. Liu said. 

“It’s just advisable for everyone – especially those who are at higher risk for hospitalization or death – to be aware,” Dr. Camins said, “so they can form their own decisions to participate in activities that may put them at risk for contracting COVID-19.”

While respiratory virus work best at keeping people with the flu, COVID, or RSV out of the hospital, they’re not as good at preventing milder infections. Dr. Schaffner said: “If we don’t expect perfection, we won’t be so disappointed.”

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

More than 3 years into the COVID-19 era, most Americans have settled back into their prepandemic lifestyles. But a new dominant variant and rising hospitalization numbers may give way to another summer surge.

Since April, a new COVID variant has cropped up. According to recent Centers for Disease Control and Prevention data, EG.5 – from the Omicron family – now makes up 17% of all cases in the United States, up from 7.5% in the first week of July. 

A summary from the Center for Infectious Disease Research and Policy at the University of Minnesota says that EG.5, nicknamed “Eris” by health trackers, is nearly the same as its parent strain, XBB.1.9.2, but has one extra spike mutation. 

Along with the news of EG.5’s growing prevalence, COVID-related hospitalization rates have increased by 12.5% during the week ending on July 29 – the most significant uptick since December. Still, no connection has been made between the new variant and rising hospital admissions. And so far, experts have found no difference in the severity of illness or symptoms between Eris and the strains that came before it.
 

Cause for concern?

The COVID virus has a great tendency to mutate, said William Schaffner, MD, a professor of infectious diseases at Vanderbilt University, Nashville, Tenn. 

“Fortunately, these are relatively minor mutations.” Even so, SARS-CoV-2, the virus that causes COVID-19, continues to be highly contagious. “There isn’t any doubt that it’s spreading – but it’s not more serious.”

So, Dr. Schaffner doesn’t think it’s time to panic. He prefers calling it an “uptick” in cases instead of a “surge,” because a surge “sounds too big.”

While the numbers are still low, compared with 2022’s summer surge, experts still urge people to stay aware of changes in the virus. “I do not think that there is any cause for alarm,” agreed Bernard Camins, MD, an infectious disease specialist at Mount Sinai Hospital, New York.

So why the higher number of cases? “There has been an increase in COVID cases this summer, probably related to travel, socializing, and dwindling masking,” said Anne Liu, MD, an allergy, immunology, and infectious disease specialist at Stanford (Calif.) University. Even so, “because of an existing level of immunity from vaccination and prior infections, it has been limited and case severity has been lower than in prior surges.”
 

What the official numbers say

The CDC no longer updates its COVID Data Tracker Weekly Review. They stopped in May 2023 when the federal public health emergency ended.

But the agency continues to track COVID-19 cases, hospitalizations, ED visits, and deaths in different ways. The key takeaways include 9,056 new hospitalizations reported for the week ending July 29, 2023. That is relatively low, compared with July 30, 2022, when the weekly new hospitalization numbers topped 44,000. 

“Last year, we saw a summer wave with cases peaking around mid-July. In that sense, our summer wave is coming a bit later than last year,” said Pavitra Roychoudhury, PhD, an assistant professor and researcher in the vaccine and infectious disease division at the University of Washington, Seattle. 

“It’s unclear how high the peak will be during this current wave. Levels of SARS-CoV-2 in wastewater, as well as the number of hospitalizations, are currently lower than this time last year.” 

For part of the pandemic, the CDC recommended people monitor COVID numbers in their own communities. But the agency’s local guidance on COVID is tied to hospital admission levels, which are currently low for more than 99% of the country, even if they are increasing. 

So, while it’s good news that hospitalization numbers are smaller, it means the agency’s ability to identify local outbreaks or hot spots of SARS-CoV-2 is now more limited. 

It’s not just an uptick in hospitalizations nationwide, as other COVID-19 indicators, including ED visits, positive tests, and wastewater levels, are increasing across the United States. 

In terms of other metrics: 

• On June 19, 0.47% of ED visits resulted in a positive COVID diagnosis. On Aug. 4, that rate had more than doubled to 1.1%. 
• On July 29, 8.9% of people who took a COVID test reported a positive result. The positivity rate has been increasing since June 10, when 4.1% of tests came back positive. This figure only includes test results reported to the CDC. Results of home testing remain largely unknown. 
• The weekly percentage of deaths related to COVID-19 was 1% as of July 29. That’s low, compared with previous rates. For example, for the week ending July 30, 2022, it was 5.8%.

What about new COVID vaccines?

As long as the general public continue to make informed decisions and get the new Omicron vaccine or booster once it’s available, experts predict lower hospitalization rates this winter. 

“Everyone should get the Omicron booster when it becomes available,” recommended Dean Winslow, MD, a professor of medicine at Stanford University. 

In the meantime, “it is important to emphasize that COVID-19 is going to be with us for the foreseeable future,” he said. Since the symptoms linked to these newer Omicron subvariants are generally milder than with earlier variants, “if one has even mild cold symptoms, it is a good idea to test yourself for COVID-19 and start treatment early if one is elderly or otherwise at high risk for severe disease.”

Dr. Schaffner remains optimistic for now. “We anticipate that the vaccines we currently have available, and certainly the vaccine that is being developed for this fall, will continue to prevent severe disease associated with this virus.”

Although it’s difficult to predict an exact time line, Dr. Schaffner said they could be available by the end of September. 

His predictions assume “that we don’t have a new nasty variant that crops up somewhere in the world,” he said. “[If] things continue to move the way they have been, we anticipate that this vaccine ... will be really effective and help us keep out of the hospital during this winter, when we expect more of an increase of COVID once again.” 

Asked for his outlook on vaccine recommendations, Dr. Camins was less certain. “It is too soon to tell.” Guidance on COVID shots will be based on results of ongoing studies. “It would be prudent, however, for everyone to plan on getting the flu shot in September.”

Stay alert and stay realistic

Cautious optimism and a call to remain vigilant seem like the consensus at the moment. While the numbers remain low so far and the uptick in new cases and hospitalizations are relatively small, compared with past scenarios, “it makes sense to boost our anti-Omicron antibody levels with immunizations before fall and winter,” Dr. Liu said. 

“It’s just advisable for everyone – especially those who are at higher risk for hospitalization or death – to be aware,” Dr. Camins said, “so they can form their own decisions to participate in activities that may put them at risk for contracting COVID-19.”

While respiratory virus work best at keeping people with the flu, COVID, or RSV out of the hospital, they’re not as good at preventing milder infections. Dr. Schaffner said: “If we don’t expect perfection, we won’t be so disappointed.”

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

The utility of artificial intelligence in pulmonology has focused mainly on using image datasets to detect and diagnose lung malignancies, but now a growing number of AI models are emerging that apply machine learning to improve predictability for other pulmonary conditions, including pulmonary infections, pulmonary fibrosis, and chronic obstructive pulmonary disease (COPD).

These applications are moving beyond the traditional AI model of collecting data from a multitude of images to cast a wider data net that includes electronic health records.

Also on the horizon, ChatGPT technology is poised to have an impact. But pulmonologists and their practices have a number of barriers to clear before they feel a meaningful impact from AI.

The imperative, said AI researcher Ishanu Chattopadhyay, PhD, is to create transformative models that can detect lung disease early on. Dr. Chattopadhyay, an assistant professor of medicine at the University of Chicago and its Institute for Genomics and Systems Biology, and fellow researchers developed an AI algorithm that uses comorbidity signatures in electronic health records to screen for idiopathic pulmonary fibrosis (IPF) (Nature Med. 2022 Sep 29. doi: 10.1038/s41591-022-02010-y).

“If you could do this when somebody walks into a primary care setting and they are barely suspecting something is going on with them or when they don’t have the typical risk factors, there is a certain fraction of these people who do have IPF and they will almost invariably be diagnosed late and/or misdiagnosed,” Dr. Chattopadhyay said, citing a study that found 55% of patients with IPF have had at least one misdiagnosis and 38% have two or more misdiagnoses (BMC Pulm Med. 2018 Jan 17. doi: 10.1186/s12890-017-0560-x).

Harnessing massive data sets

AI models cull data sets, whether banks of radiographic images or files in an EHR, to extract telltale signatures of a disease state. Dr. Chattopadhyay and his team’s model used three databases with almost 3 million participants and 54,247 positive cases of IPF. Hospitals in Scotland have deployed what they’ve claimed are the first AI models to predict COPD built with 55,000 patient records from a regional National Health Service database. Another AI model for staging COPD, developed by researchers in the United States and Romania, used more than 18,000 medical records from 588 patients to identify physiological signals predictive of COPD (Advanced Sci. 2023 Feb 19. doi: 10.1002/advs.202203485).

Said Dr. Chattopadhyay: “If I can bring in AI which doesn’t just look at radiological images but actually gets it back where someone walks into primary care using only the information that is available at that point in the patient files and asking for nothing more, it raises a flag reliably that gets you a pulmonary referral that will hopefully reduce the misdiagnosis and late diagnosis.”

Victor Tseng, MD, medical director for pulmonology at Ansible Health in Mountain View, Calif., who’s researching the potential of AI in pulmonology, speculated on what functions AI can perform in the clinic. “I think you will start to see much more interventional sort of clinically patient care–facing applications,” he said. That would include acting as a triage layer to direct patient queries to a nurse, physician, or another practitioner, providing patient instructions, serving as therapeutic software, coordinating care, integrating supply chain issues,” he said.

 

AI vs. spirometry for COPD

Researchers in the United States and Romania, led by Paul Bogdan, PhD, at the University of Southern California Viterbi School of Engineering, developed a model that predicted COPD with an accuracy of almost 99% (98.66%) and avoids many of the shortcomings of spirometry, Dr. Bogdan said.

USC Viterbi School of Engineering

The models developed by Dr. Bogdan and collaborators use a different principle than existing AI platforms, Dr. Bogdan said. They analyze the properties of the data. As he explained it, they exploit what he called the “geometry of these data” to make inferences and decisions on a patient’s risk for COPD.

“Deep learning is very good for images, for videos, but it doesn’t work that well for signals,” said Mihai Udrescu, PhD, one of the Romanian collaborators. “But if we process the data with the technique brought up by Paul [Bogdan] and his team at USC, deep learning also works well on physiological signals.”

Dr. Paul Bogdan

Said Dr. Bogdan, “Nobody thought about using physiological signals to predict COPD before this work. They used spirometry, but spirometry is cumbersome and several steps have to be performed in order to have an accurate spirometry.” His team’s AI models extract and analyze risk data based on 10 minutes of monitoring.

This technology also has the potential to improve accessibility of COPD screening, Dr. Udrescu said. “It can democratize the access to the health care because you don’t need to travel for 100 or 200 miles to see a specialist,” he said. “You just send an app to the mobile phone of a patient, the person puts on a smart watch and wears it for a couple of minutes and the data is either recorded locally or is transmitted and it is analyzed.” The computations can be done locally and in a matter of minutes, he said.

In Scotland, a 12-month feasibility study is underway to evaluate an AI model to identify COPD patients at greatest risk for adverse events. A press release from Lenus, the company developing the technology, said the study will use a COPD multidisciplinary team to consider real-time AI model outputs to enable proactive patient encounters and reduce emergency care visits.

Researchers in Paris built an AI model that showed a 68% accuracy in distinguishing people with asthma from people with COPD in administrative medical databases (BMC Pulmon Med. 2022 Sep 20. doi: 10.1186/s12890-022-02144-2). They found that asthma patients were younger than those with COPD (a mean of 49.9 vs. 72.1 years) and that COPD occurred mostly in men (68% vs. 33%). And an international team of researchers reported that an AI model that used chest CT scans determined that ever-smokers with COPD who met the imaging criteria for bronchiectasis were more prone to disease exacerbations (Radiology. 2022 Dec 13. doi: 10.1148/radiol.221109). 

 

AI in idiopathic pulmonary fibrosis

The AI model that Dr. Chattopadhyay and collaborators developed had an 88% accuracy in predicting IPF. The model, known as the zero-burden comorbidity risk score for IPF (ZCoR-IPF), identified IPF cases in adults age 45 and older 1-4 years sooner than in a variety of pulmonology practice settings.

The model accounted for about 700 different features of IPF, Dr. Chattopadhyay said, but it deviated from standard AI risk models in that it used a machine learning algorithm to extract disease features that aren’t well understood or even known. “We do not know what all the risk factors of IPF are,” he said. “People who don’t have all the risk factors still get IPF. So we have to step back from the raw EHR data from where the features are being generated automatically, and then you can apply standard ML tools.”

Researchers at Nagoya University in Japan also reported on an AI algorithm for predicting IPF that used 646,800 high-resolution CT images and medical records data from 1,068 patients. Their algorithm had an average diagnostic accuracy of 83.6% and, they reported, demonstrated good accuracy even in patients with signs of interstitial pneumonia or who had surgical lung biopsies (Respirology. 2022 Dec 13. doi: 10.1111/resp.14310).

 

Chat GPT: The next frontier in AI

Dr. Tseng last year led a group of researchers that fed questions from the United States Medical Licensing Exam to a ChatGPT model, which found it answered 60%-65% of questions correctly (PLOS Digit Health. 2023 Feb 9. doi: 10.1371/journal.pdig.0000198). As Dr. Tseng pointed out, that’s good enough to get a medical license.

It may be a matter of time before ChatGPT technology finds its way into the clinic, Dr. Tseng said. A quick ChatGPT query of how it could be used in medicine yielded 12 different answers, from patient triage to providing basic first aid instructions in an emergency.

Dr. Tseng, who’s pulmonology practice places an emphasis on virtual care delivery, went deeper than the ChatGPT answer. “If you’re a respiratory therapist and you’re trying to execute a complicated medical care plan written by a physician, there’s a natural disconnect between our language and their language,” he said. “What we have found is that GPT has significantly harmonized the care plan. And that’s amazing because you end up with this single-stream understanding of the care plan, where the language is halfway between a bedside clinician, like the respiratory therapist or nurse, and is also something that a physician can understand and take the bigger sort of direction of care from.”

 

Barriers to AI in clinic

Numerous barriers face widespread adoption of AI tools in the clinic, Dr. Tseng said, including physician and staff anxiety about learning new technology. “AI tools, for all purposes, are supposed to allay the cognitive burden and the tedium burden on clinicians, but end up actually costing more time,” he said.

Health care organizations will also need to retool for AI, a group of medical informatics and digital health experts, led by Laurie Lovett Novak, PhD, reported (JAMIA Open. 2023 May 3. doi: 10.1093/jamiaopen/ooad028). But it’s coming nonetheless, Dr. Novak, an associate professor of biomedical informatics at Vanderbilt University Medical Center in Nashville, Tenn., said in an interview.

“In the near future, managers in clinics and inpatient units will be overseeing care that involves numerous AI-based technologies, including predictive analytics, imaging tools, language models, and others,” she said. “Organizations need to support managers by implementing capabilities for algorithmo-vigilance.”

That would include dealing with what she called “algorithmic drift” – when the accuracy of an AI model wanes because of changes in the underlying data – and ensuring that models are unbiased and aren’t used in a way that contributes to inequities in health care. “These new organizational capabilities will demand new tools and new competencies,” she said. That would include policies and processes drawing guidance from medical societies for legal and regulatory direction for managers, staff training, and software documentation.

Dr. Tseng envisioned how AI would work in the clinic. “I personally think that, at some time in the near future, AI-driven care coordination, where the AI basically handles appointment scheduling, patient motivation, patient engagement and acts as their health navigator, will be superior to any human health navigator on the whole, only for the reason that AI is indefatigable,” Dr. Tseng said. “It doesn’t get tired, it doesn’t get burned out, and these health navigation care coordination roles are notoriously difficult.”

The physicians and researchers interviewed for this report had no relevant relationships to disclose.

The utility of artificial intelligence in pulmonology has focused mainly on using image datasets to detect and diagnose lung malignancies, but now a growing number of AI models are emerging that apply machine learning to improve predictability for other pulmonary conditions, including pulmonary infections, pulmonary fibrosis, and chronic obstructive pulmonary disease (COPD).

These applications are moving beyond the traditional AI model of collecting data from a multitude of images to cast a wider data net that includes electronic health records.

Also on the horizon, ChatGPT technology is poised to have an impact. But pulmonologists and their practices have a number of barriers to clear before they feel a meaningful impact from AI.

The imperative, said AI researcher Ishanu Chattopadhyay, PhD, is to create transformative models that can detect lung disease early on. Dr. Chattopadhyay, an assistant professor of medicine at the University of Chicago and its Institute for Genomics and Systems Biology, and fellow researchers developed an AI algorithm that uses comorbidity signatures in electronic health records to screen for idiopathic pulmonary fibrosis (IPF) (Nature Med. 2022 Sep 29. doi: 10.1038/s41591-022-02010-y).

“If you could do this when somebody walks into a primary care setting and they are barely suspecting something is going on with them or when they don’t have the typical risk factors, there is a certain fraction of these people who do have IPF and they will almost invariably be diagnosed late and/or misdiagnosed,” Dr. Chattopadhyay said, citing a study that found 55% of patients with IPF have had at least one misdiagnosis and 38% have two or more misdiagnoses (BMC Pulm Med. 2018 Jan 17. doi: 10.1186/s12890-017-0560-x).

Harnessing massive data sets

AI models cull data sets, whether banks of radiographic images or files in an EHR, to extract telltale signatures of a disease state. Dr. Chattopadhyay and his team’s model used three databases with almost 3 million participants and 54,247 positive cases of IPF. Hospitals in Scotland have deployed what they’ve claimed are the first AI models to predict COPD built with 55,000 patient records from a regional National Health Service database. Another AI model for staging COPD, developed by researchers in the United States and Romania, used more than 18,000 medical records from 588 patients to identify physiological signals predictive of COPD (Advanced Sci. 2023 Feb 19. doi: 10.1002/advs.202203485).

Said Dr. Chattopadhyay: “If I can bring in AI which doesn’t just look at radiological images but actually gets it back where someone walks into primary care using only the information that is available at that point in the patient files and asking for nothing more, it raises a flag reliably that gets you a pulmonary referral that will hopefully reduce the misdiagnosis and late diagnosis.”

Victor Tseng, MD, medical director for pulmonology at Ansible Health in Mountain View, Calif., who’s researching the potential of AI in pulmonology, speculated on what functions AI can perform in the clinic. “I think you will start to see much more interventional sort of clinically patient care–facing applications,” he said. That would include acting as a triage layer to direct patient queries to a nurse, physician, or another practitioner, providing patient instructions, serving as therapeutic software, coordinating care, integrating supply chain issues,” he said.

 

AI vs. spirometry for COPD

Researchers in the United States and Romania, led by Paul Bogdan, PhD, at the University of Southern California Viterbi School of Engineering, developed a model that predicted COPD with an accuracy of almost 99% (98.66%) and avoids many of the shortcomings of spirometry, Dr. Bogdan said.

USC Viterbi School of Engineering

The models developed by Dr. Bogdan and collaborators use a different principle than existing AI platforms, Dr. Bogdan said. They analyze the properties of the data. As he explained it, they exploit what he called the “geometry of these data” to make inferences and decisions on a patient’s risk for COPD.

“Deep learning is very good for images, for videos, but it doesn’t work that well for signals,” said Mihai Udrescu, PhD, one of the Romanian collaborators. “But if we process the data with the technique brought up by Paul [Bogdan] and his team at USC, deep learning also works well on physiological signals.”

Dr. Paul Bogdan

Said Dr. Bogdan, “Nobody thought about using physiological signals to predict COPD before this work. They used spirometry, but spirometry is cumbersome and several steps have to be performed in order to have an accurate spirometry.” His team’s AI models extract and analyze risk data based on 10 minutes of monitoring.

This technology also has the potential to improve accessibility of COPD screening, Dr. Udrescu said. “It can democratize the access to the health care because you don’t need to travel for 100 or 200 miles to see a specialist,” he said. “You just send an app to the mobile phone of a patient, the person puts on a smart watch and wears it for a couple of minutes and the data is either recorded locally or is transmitted and it is analyzed.” The computations can be done locally and in a matter of minutes, he said.

In Scotland, a 12-month feasibility study is underway to evaluate an AI model to identify COPD patients at greatest risk for adverse events. A press release from Lenus, the company developing the technology, said the study will use a COPD multidisciplinary team to consider real-time AI model outputs to enable proactive patient encounters and reduce emergency care visits.

Researchers in Paris built an AI model that showed a 68% accuracy in distinguishing people with asthma from people with COPD in administrative medical databases (BMC Pulmon Med. 2022 Sep 20. doi: 10.1186/s12890-022-02144-2). They found that asthma patients were younger than those with COPD (a mean of 49.9 vs. 72.1 years) and that COPD occurred mostly in men (68% vs. 33%). And an international team of researchers reported that an AI model that used chest CT scans determined that ever-smokers with COPD who met the imaging criteria for bronchiectasis were more prone to disease exacerbations (Radiology. 2022 Dec 13. doi: 10.1148/radiol.221109). 

 

AI in idiopathic pulmonary fibrosis

The AI model that Dr. Chattopadhyay and collaborators developed had an 88% accuracy in predicting IPF. The model, known as the zero-burden comorbidity risk score for IPF (ZCoR-IPF), identified IPF cases in adults age 45 and older 1-4 years sooner than in a variety of pulmonology practice settings.

The model accounted for about 700 different features of IPF, Dr. Chattopadhyay said, but it deviated from standard AI risk models in that it used a machine learning algorithm to extract disease features that aren’t well understood or even known. “We do not know what all the risk factors of IPF are,” he said. “People who don’t have all the risk factors still get IPF. So we have to step back from the raw EHR data from where the features are being generated automatically, and then you can apply standard ML tools.”

Researchers at Nagoya University in Japan also reported on an AI algorithm for predicting IPF that used 646,800 high-resolution CT images and medical records data from 1,068 patients. Their algorithm had an average diagnostic accuracy of 83.6% and, they reported, demonstrated good accuracy even in patients with signs of interstitial pneumonia or who had surgical lung biopsies (Respirology. 2022 Dec 13. doi: 10.1111/resp.14310).

 

Chat GPT: The next frontier in AI

Dr. Tseng last year led a group of researchers that fed questions from the United States Medical Licensing Exam to a ChatGPT model, which found it answered 60%-65% of questions correctly (PLOS Digit Health. 2023 Feb 9. doi: 10.1371/journal.pdig.0000198). As Dr. Tseng pointed out, that’s good enough to get a medical license.

It may be a matter of time before ChatGPT technology finds its way into the clinic, Dr. Tseng said. A quick ChatGPT query of how it could be used in medicine yielded 12 different answers, from patient triage to providing basic first aid instructions in an emergency.

Dr. Tseng, who’s pulmonology practice places an emphasis on virtual care delivery, went deeper than the ChatGPT answer. “If you’re a respiratory therapist and you’re trying to execute a complicated medical care plan written by a physician, there’s a natural disconnect between our language and their language,” he said. “What we have found is that GPT has significantly harmonized the care plan. And that’s amazing because you end up with this single-stream understanding of the care plan, where the language is halfway between a bedside clinician, like the respiratory therapist or nurse, and is also something that a physician can understand and take the bigger sort of direction of care from.”

 

Barriers to AI in clinic

Numerous barriers face widespread adoption of AI tools in the clinic, Dr. Tseng said, including physician and staff anxiety about learning new technology. “AI tools, for all purposes, are supposed to allay the cognitive burden and the tedium burden on clinicians, but end up actually costing more time,” he said.

Health care organizations will also need to retool for AI, a group of medical informatics and digital health experts, led by Laurie Lovett Novak, PhD, reported (JAMIA Open. 2023 May 3. doi: 10.1093/jamiaopen/ooad028). But it’s coming nonetheless, Dr. Novak, an associate professor of biomedical informatics at Vanderbilt University Medical Center in Nashville, Tenn., said in an interview.

“In the near future, managers in clinics and inpatient units will be overseeing care that involves numerous AI-based technologies, including predictive analytics, imaging tools, language models, and others,” she said. “Organizations need to support managers by implementing capabilities for algorithmo-vigilance.”

That would include dealing with what she called “algorithmic drift” – when the accuracy of an AI model wanes because of changes in the underlying data – and ensuring that models are unbiased and aren’t used in a way that contributes to inequities in health care. “These new organizational capabilities will demand new tools and new competencies,” she said. That would include policies and processes drawing guidance from medical societies for legal and regulatory direction for managers, staff training, and software documentation.

Dr. Tseng envisioned how AI would work in the clinic. “I personally think that, at some time in the near future, AI-driven care coordination, where the AI basically handles appointment scheduling, patient motivation, patient engagement and acts as their health navigator, will be superior to any human health navigator on the whole, only for the reason that AI is indefatigable,” Dr. Tseng said. “It doesn’t get tired, it doesn’t get burned out, and these health navigation care coordination roles are notoriously difficult.”

The physicians and researchers interviewed for this report had no relevant relationships to disclose.

The utility of artificial intelligence in pulmonology has focused mainly on using image datasets to detect and diagnose lung malignancies, but now a growing number of AI models are emerging that apply machine learning to improve predictability for other pulmonary conditions, including pulmonary infections, pulmonary fibrosis, and chronic obstructive pulmonary disease (COPD).

These applications are moving beyond the traditional AI model of collecting data from a multitude of images to cast a wider data net that includes electronic health records.

Also on the horizon, ChatGPT technology is poised to have an impact. But pulmonologists and their practices have a number of barriers to clear before they feel a meaningful impact from AI.

The imperative, said AI researcher Ishanu Chattopadhyay, PhD, is to create transformative models that can detect lung disease early on. Dr. Chattopadhyay, an assistant professor of medicine at the University of Chicago and its Institute for Genomics and Systems Biology, and fellow researchers developed an AI algorithm that uses comorbidity signatures in electronic health records to screen for idiopathic pulmonary fibrosis (IPF) (Nature Med. 2022 Sep 29. doi: 10.1038/s41591-022-02010-y).

“If you could do this when somebody walks into a primary care setting and they are barely suspecting something is going on with them or when they don’t have the typical risk factors, there is a certain fraction of these people who do have IPF and they will almost invariably be diagnosed late and/or misdiagnosed,” Dr. Chattopadhyay said, citing a study that found 55% of patients with IPF have had at least one misdiagnosis and 38% have two or more misdiagnoses (BMC Pulm Med. 2018 Jan 17. doi: 10.1186/s12890-017-0560-x).

Harnessing massive data sets

AI models cull data sets, whether banks of radiographic images or files in an EHR, to extract telltale signatures of a disease state. Dr. Chattopadhyay and his team’s model used three databases with almost 3 million participants and 54,247 positive cases of IPF. Hospitals in Scotland have deployed what they’ve claimed are the first AI models to predict COPD built with 55,000 patient records from a regional National Health Service database. Another AI model for staging COPD, developed by researchers in the United States and Romania, used more than 18,000 medical records from 588 patients to identify physiological signals predictive of COPD (Advanced Sci. 2023 Feb 19. doi: 10.1002/advs.202203485).

Said Dr. Chattopadhyay: “If I can bring in AI which doesn’t just look at radiological images but actually gets it back where someone walks into primary care using only the information that is available at that point in the patient files and asking for nothing more, it raises a flag reliably that gets you a pulmonary referral that will hopefully reduce the misdiagnosis and late diagnosis.”

Victor Tseng, MD, medical director for pulmonology at Ansible Health in Mountain View, Calif., who’s researching the potential of AI in pulmonology, speculated on what functions AI can perform in the clinic. “I think you will start to see much more interventional sort of clinically patient care–facing applications,” he said. That would include acting as a triage layer to direct patient queries to a nurse, physician, or another practitioner, providing patient instructions, serving as therapeutic software, coordinating care, integrating supply chain issues,” he said.

 

AI vs. spirometry for COPD

Researchers in the United States and Romania, led by Paul Bogdan, PhD, at the University of Southern California Viterbi School of Engineering, developed a model that predicted COPD with an accuracy of almost 99% (98.66%) and avoids many of the shortcomings of spirometry, Dr. Bogdan said.

USC Viterbi School of Engineering

The models developed by Dr. Bogdan and collaborators use a different principle than existing AI platforms, Dr. Bogdan said. They analyze the properties of the data. As he explained it, they exploit what he called the “geometry of these data” to make inferences and decisions on a patient’s risk for COPD.

“Deep learning is very good for images, for videos, but it doesn’t work that well for signals,” said Mihai Udrescu, PhD, one of the Romanian collaborators. “But if we process the data with the technique brought up by Paul [Bogdan] and his team at USC, deep learning also works well on physiological signals.”

Dr. Paul Bogdan

Said Dr. Bogdan, “Nobody thought about using physiological signals to predict COPD before this work. They used spirometry, but spirometry is cumbersome and several steps have to be performed in order to have an accurate spirometry.” His team’s AI models extract and analyze risk data based on 10 minutes of monitoring.

This technology also has the potential to improve accessibility of COPD screening, Dr. Udrescu said. “It can democratize the access to the health care because you don’t need to travel for 100 or 200 miles to see a specialist,” he said. “You just send an app to the mobile phone of a patient, the person puts on a smart watch and wears it for a couple of minutes and the data is either recorded locally or is transmitted and it is analyzed.” The computations can be done locally and in a matter of minutes, he said.

In Scotland, a 12-month feasibility study is underway to evaluate an AI model to identify COPD patients at greatest risk for adverse events. A press release from Lenus, the company developing the technology, said the study will use a COPD multidisciplinary team to consider real-time AI model outputs to enable proactive patient encounters and reduce emergency care visits.

Researchers in Paris built an AI model that showed a 68% accuracy in distinguishing people with asthma from people with COPD in administrative medical databases (BMC Pulmon Med. 2022 Sep 20. doi: 10.1186/s12890-022-02144-2). They found that asthma patients were younger than those with COPD (a mean of 49.9 vs. 72.1 years) and that COPD occurred mostly in men (68% vs. 33%). And an international team of researchers reported that an AI model that used chest CT scans determined that ever-smokers with COPD who met the imaging criteria for bronchiectasis were more prone to disease exacerbations (Radiology. 2022 Dec 13. doi: 10.1148/radiol.221109). 

 

AI in idiopathic pulmonary fibrosis

The AI model that Dr. Chattopadhyay and collaborators developed had an 88% accuracy in predicting IPF. The model, known as the zero-burden comorbidity risk score for IPF (ZCoR-IPF), identified IPF cases in adults age 45 and older 1-4 years sooner than in a variety of pulmonology practice settings.

The model accounted for about 700 different features of IPF, Dr. Chattopadhyay said, but it deviated from standard AI risk models in that it used a machine learning algorithm to extract disease features that aren’t well understood or even known. “We do not know what all the risk factors of IPF are,” he said. “People who don’t have all the risk factors still get IPF. So we have to step back from the raw EHR data from where the features are being generated automatically, and then you can apply standard ML tools.”

Researchers at Nagoya University in Japan also reported on an AI algorithm for predicting IPF that used 646,800 high-resolution CT images and medical records data from 1,068 patients. Their algorithm had an average diagnostic accuracy of 83.6% and, they reported, demonstrated good accuracy even in patients with signs of interstitial pneumonia or who had surgical lung biopsies (Respirology. 2022 Dec 13. doi: 10.1111/resp.14310).

 

Chat GPT: The next frontier in AI

Dr. Tseng last year led a group of researchers that fed questions from the United States Medical Licensing Exam to a ChatGPT model, which found it answered 60%-65% of questions correctly (PLOS Digit Health. 2023 Feb 9. doi: 10.1371/journal.pdig.0000198). As Dr. Tseng pointed out, that’s good enough to get a medical license.

It may be a matter of time before ChatGPT technology finds its way into the clinic, Dr. Tseng said. A quick ChatGPT query of how it could be used in medicine yielded 12 different answers, from patient triage to providing basic first aid instructions in an emergency.

Dr. Tseng, who’s pulmonology practice places an emphasis on virtual care delivery, went deeper than the ChatGPT answer. “If you’re a respiratory therapist and you’re trying to execute a complicated medical care plan written by a physician, there’s a natural disconnect between our language and their language,” he said. “What we have found is that GPT has significantly harmonized the care plan. And that’s amazing because you end up with this single-stream understanding of the care plan, where the language is halfway between a bedside clinician, like the respiratory therapist or nurse, and is also something that a physician can understand and take the bigger sort of direction of care from.”

 

Barriers to AI in clinic

Numerous barriers face widespread adoption of AI tools in the clinic, Dr. Tseng said, including physician and staff anxiety about learning new technology. “AI tools, for all purposes, are supposed to allay the cognitive burden and the tedium burden on clinicians, but end up actually costing more time,” he said.

Health care organizations will also need to retool for AI, a group of medical informatics and digital health experts, led by Laurie Lovett Novak, PhD, reported (JAMIA Open. 2023 May 3. doi: 10.1093/jamiaopen/ooad028). But it’s coming nonetheless, Dr. Novak, an associate professor of biomedical informatics at Vanderbilt University Medical Center in Nashville, Tenn., said in an interview.

“In the near future, managers in clinics and inpatient units will be overseeing care that involves numerous AI-based technologies, including predictive analytics, imaging tools, language models, and others,” she said. “Organizations need to support managers by implementing capabilities for algorithmo-vigilance.”

That would include dealing with what she called “algorithmic drift” – when the accuracy of an AI model wanes because of changes in the underlying data – and ensuring that models are unbiased and aren’t used in a way that contributes to inequities in health care. “These new organizational capabilities will demand new tools and new competencies,” she said. That would include policies and processes drawing guidance from medical societies for legal and regulatory direction for managers, staff training, and software documentation.

Dr. Tseng envisioned how AI would work in the clinic. “I personally think that, at some time in the near future, AI-driven care coordination, where the AI basically handles appointment scheduling, patient motivation, patient engagement and acts as their health navigator, will be superior to any human health navigator on the whole, only for the reason that AI is indefatigable,” Dr. Tseng said. “It doesn’t get tired, it doesn’t get burned out, and these health navigation care coordination roles are notoriously difficult.”

The physicians and researchers interviewed for this report had no relevant relationships to disclose.

Thoracic Oncology & Chest Procedures Network

Ultrasound & Chest Imaging Section

Point-of-care ultrasound (POCUS) is integral to the delivery of high-quality patient care. The benefits of POCUS for timely diagnosis and procedural assistance are well documented. With continued innovation, its novel benefits can extend to the upper airway evaluation in both inpatient and outpatient settings.

Adi et al notes that POCUS can serve as an adjunct to traditional airway checklists and help intensivists/anesthesiologists identify potentially difficult laryngoscopies, choose the correct endotracheal tube size to reduce the risk of subglottic stenosis, and help confirm appropriate endotracheal tube placement (Adi, et al. J Emerg Crit Care Med. 2019;3:31).

The prediction of a difficult airway is a potentially lifesaving use for this technology. The authors note that smaller studies demonstrate promising results in four techniques: the inability to visualize the hyoid bone using the sublingual approach, a shorter hyomental distance in morbidly obese patients, anterior neck thickness at different anatomical levels (vocal cords, hyoid bone, and thyroid membrane), and a tongue thickness of more than 6.1 cm from the submental approach were all capable of predicting difficult tracheal intubation with varying degrees of sensitivity and specificity.

In the outpatient setting, an understanding of the upper airway anatomy can help with sleep apnea screenings. Korotun, et al. demonstrated in a small sample that ultrasound evaluation of hyoid bone excursion during hypoglossal nerve stimulation may be a useful tool to predict response to therapy and guide hypoglossal nerve stimulator settings (Korotun, et al. Sleep. 2020;43[Suppl_1]:A247-A248).Upper airway ultrasound is easy to learn. The anatomical landmarks are similar in most patients. This convenient tool can be added to your patient care repertoire in a variety of clinical settings.

Sameer Khanijo, MD, FCCP
Section Member-at-Large

Navitha Ramesh, MD, FCCP
Section Vice-Chair

Thoracic Oncology & Chest Procedures Network

Ultrasound & Chest Imaging Section

Point-of-care ultrasound (POCUS) is integral to the delivery of high-quality patient care. The benefits of POCUS for timely diagnosis and procedural assistance are well documented. With continued innovation, its novel benefits can extend to the upper airway evaluation in both inpatient and outpatient settings.

Adi et al notes that POCUS can serve as an adjunct to traditional airway checklists and help intensivists/anesthesiologists identify potentially difficult laryngoscopies, choose the correct endotracheal tube size to reduce the risk of subglottic stenosis, and help confirm appropriate endotracheal tube placement (Adi, et al. J Emerg Crit Care Med. 2019;3:31).

The prediction of a difficult airway is a potentially lifesaving use for this technology. The authors note that smaller studies demonstrate promising results in four techniques: the inability to visualize the hyoid bone using the sublingual approach, a shorter hyomental distance in morbidly obese patients, anterior neck thickness at different anatomical levels (vocal cords, hyoid bone, and thyroid membrane), and a tongue thickness of more than 6.1 cm from the submental approach were all capable of predicting difficult tracheal intubation with varying degrees of sensitivity and specificity.

In the outpatient setting, an understanding of the upper airway anatomy can help with sleep apnea screenings. Korotun, et al. demonstrated in a small sample that ultrasound evaluation of hyoid bone excursion during hypoglossal nerve stimulation may be a useful tool to predict response to therapy and guide hypoglossal nerve stimulator settings (Korotun, et al. Sleep. 2020;43[Suppl_1]:A247-A248).Upper airway ultrasound is easy to learn. The anatomical landmarks are similar in most patients. This convenient tool can be added to your patient care repertoire in a variety of clinical settings.

Sameer Khanijo, MD, FCCP
Section Member-at-Large

Navitha Ramesh, MD, FCCP
Section Vice-Chair

Thoracic Oncology & Chest Procedures Network

Ultrasound & Chest Imaging Section

Point-of-care ultrasound (POCUS) is integral to the delivery of high-quality patient care. The benefits of POCUS for timely diagnosis and procedural assistance are well documented. With continued innovation, its novel benefits can extend to the upper airway evaluation in both inpatient and outpatient settings.

Adi et al notes that POCUS can serve as an adjunct to traditional airway checklists and help intensivists/anesthesiologists identify potentially difficult laryngoscopies, choose the correct endotracheal tube size to reduce the risk of subglottic stenosis, and help confirm appropriate endotracheal tube placement (Adi, et al. J Emerg Crit Care Med. 2019;3:31).

The prediction of a difficult airway is a potentially lifesaving use for this technology. The authors note that smaller studies demonstrate promising results in four techniques: the inability to visualize the hyoid bone using the sublingual approach, a shorter hyomental distance in morbidly obese patients, anterior neck thickness at different anatomical levels (vocal cords, hyoid bone, and thyroid membrane), and a tongue thickness of more than 6.1 cm from the submental approach were all capable of predicting difficult tracheal intubation with varying degrees of sensitivity and specificity.

In the outpatient setting, an understanding of the upper airway anatomy can help with sleep apnea screenings. Korotun, et al. demonstrated in a small sample that ultrasound evaluation of hyoid bone excursion during hypoglossal nerve stimulation may be a useful tool to predict response to therapy and guide hypoglossal nerve stimulator settings (Korotun, et al. Sleep. 2020;43[Suppl_1]:A247-A248).Upper airway ultrasound is easy to learn. The anatomical landmarks are similar in most patients. This convenient tool can be added to your patient care repertoire in a variety of clinical settings.

Sameer Khanijo, MD, FCCP
Section Member-at-Large

Navitha Ramesh, MD, FCCP
Section Vice-Chair

Critical Care Network

Nonrespiratory Critical Care Section

Goals-of-care discussions are essential to management of the intensive care unit (ICU) patient. Racial inequities in end-of-life decision making have been documented for many years, with literature demonstrating that marginalized populations are less likely to have EHR-documented goals-of-care discussions and more likely to have concerns regarding clinician communication.

A recently published randomized control trial in JAMA highlights an intervention that offers promise in addressing disparities in goals-of-care conversations. Curtis, et al. studied whether priming physicians with a communication guide advising on discussion prompts and language for goals-of-care could improve the rate of documented goals-of-care discussions among hospitalized older adults with serious illness. The study found that for patients in the intervention arm, there was a significant increase in proportion of goals-of-care discussions within 30 days. Notably, the difference in documented goals-of-care discussions between arms was greater in the subgroup of patients from underserved groups (Curtis JR, et al. JAMA. 2023;329[23]:2028-37).

Nevertheless, while interventions may help increase the rate of goals-of-care discussions, it is also important to address the content of discussions themselves. You and colleagues recently published a mixed-methods study assessing the impact of race on shared decision-making behaviors during family/caregiver meetings. The authors found that while ICU physicians approached shared decision making with White and Black families similarly, Black families felt their physicians provided less validation of the family role in decision making than White families did (You H, et al. Ann Am Thorac Soc. 2023 May;20[5]:759-62). These findings highlight the importance of ongoing work that focuses not only on quantity but also on quality of communication regarding goals-of-care for patients from diverse backgrounds.

Divya Shankar MD
Section Fellow-in-Training

Muhammad Hayat-Syed MD
Section Vice Chair

Critical Care Network

Nonrespiratory Critical Care Section

Goals-of-care discussions are essential to management of the intensive care unit (ICU) patient. Racial inequities in end-of-life decision making have been documented for many years, with literature demonstrating that marginalized populations are less likely to have EHR-documented goals-of-care discussions and more likely to have concerns regarding clinician communication.

A recently published randomized control trial in JAMA highlights an intervention that offers promise in addressing disparities in goals-of-care conversations. Curtis, et al. studied whether priming physicians with a communication guide advising on discussion prompts and language for goals-of-care could improve the rate of documented goals-of-care discussions among hospitalized older adults with serious illness. The study found that for patients in the intervention arm, there was a significant increase in proportion of goals-of-care discussions within 30 days. Notably, the difference in documented goals-of-care discussions between arms was greater in the subgroup of patients from underserved groups (Curtis JR, et al. JAMA. 2023;329[23]:2028-37).

Nevertheless, while interventions may help increase the rate of goals-of-care discussions, it is also important to address the content of discussions themselves. You and colleagues recently published a mixed-methods study assessing the impact of race on shared decision-making behaviors during family/caregiver meetings. The authors found that while ICU physicians approached shared decision making with White and Black families similarly, Black families felt their physicians provided less validation of the family role in decision making than White families did (You H, et al. Ann Am Thorac Soc. 2023 May;20[5]:759-62). These findings highlight the importance of ongoing work that focuses not only on quantity but also on quality of communication regarding goals-of-care for patients from diverse backgrounds.

Divya Shankar MD
Section Fellow-in-Training

Muhammad Hayat-Syed MD
Section Vice Chair

Critical Care Network

Nonrespiratory Critical Care Section

Goals-of-care discussions are essential to management of the intensive care unit (ICU) patient. Racial inequities in end-of-life decision making have been documented for many years, with literature demonstrating that marginalized populations are less likely to have EHR-documented goals-of-care discussions and more likely to have concerns regarding clinician communication.

A recently published randomized control trial in JAMA highlights an intervention that offers promise in addressing disparities in goals-of-care conversations. Curtis, et al. studied whether priming physicians with a communication guide advising on discussion prompts and language for goals-of-care could improve the rate of documented goals-of-care discussions among hospitalized older adults with serious illness. The study found that for patients in the intervention arm, there was a significant increase in proportion of goals-of-care discussions within 30 days. Notably, the difference in documented goals-of-care discussions between arms was greater in the subgroup of patients from underserved groups (Curtis JR, et al. JAMA. 2023;329[23]:2028-37).

Nevertheless, while interventions may help increase the rate of goals-of-care discussions, it is also important to address the content of discussions themselves. You and colleagues recently published a mixed-methods study assessing the impact of race on shared decision-making behaviors during family/caregiver meetings. The authors found that while ICU physicians approached shared decision making with White and Black families similarly, Black families felt their physicians provided less validation of the family role in decision making than White families did (You H, et al. Ann Am Thorac Soc. 2023 May;20[5]:759-62). These findings highlight the importance of ongoing work that focuses not only on quantity but also on quality of communication regarding goals-of-care for patients from diverse backgrounds.

Divya Shankar MD
Section Fellow-in-Training

Muhammad Hayat-Syed MD
Section Vice Chair

Diffuse Lung Disease & Transplant Network

Lung Transplant Section

Frailty, a concept that originated in the geriatric population, is a state of vulnerability resulting from a decline in reserve and function across physiological systems. While it is more commonly observed in older adults, some aging-associated syndromes, such as sarcopenia, impaired cognition, inflammation, and malnutrition, may be present in younger patients with end-stage organ disease. These syndromes can be associated with biological age, as opposed to chronological age, which explains why younger patients with end-stage organ disease can develop frailty (Schaenman JM, et al. Am J Transplant. 2021 Jun;21[6]:2018-24). Frailty in the lung transplant population is associated with increased morbidity and mortality while on the waitlist and post-transplant (Montgomery E, et al. J Transplant. 2020 Aug 7:3239495). In 2021, the International Society of Heart and Lung Transplantation recommended including a frailty assessment to complete a patient’s transplant evaluation. The committee cautioned using current assessment tools, as they are not yet accepted as the standard of care (Leard, et al. J Heart Lung Transplant. 2021 Nov;40[11]:1349-79). Existing tools being used evolved from studies of community-dwelling older adults with no predilection for distinct organ disease, which include the Fried Physical Frailty Phenotype (FPFP) and the Short Physical Performance Battery (SPPB). Along with physical limitations, frail patients tend to have abnormal biomarkers including higher inflammatory cytokines, such as plasma IL-6 and tumor necrosis factor receptor 1, and lower insulin-like growth factor I and leptin (Singer JP, et al. Am J Respir Crit Care Med. 2015;192[11]1325-34). The concept of a lung-focused approach to frailty, which considers biomarkers and body composition, is currently being researched (Singer JP, et al. J Heart Lung Transplant. 2023;S1053-S2498[23]00049-9). This disease-specific frailty scale would identify lung transplant candidates who may benefit from targeted interventions, and such frailty would also be expected to improve after transplant.

Erin Meier, MD
Section Fellow-in-Training

Anupam Kumar, MD, FCCP
Section Member-at-Large

Diffuse Lung Disease & Transplant Network

Lung Transplant Section

Frailty, a concept that originated in the geriatric population, is a state of vulnerability resulting from a decline in reserve and function across physiological systems. While it is more commonly observed in older adults, some aging-associated syndromes, such as sarcopenia, impaired cognition, inflammation, and malnutrition, may be present in younger patients with end-stage organ disease. These syndromes can be associated with biological age, as opposed to chronological age, which explains why younger patients with end-stage organ disease can develop frailty (Schaenman JM, et al. Am J Transplant. 2021 Jun;21[6]:2018-24). Frailty in the lung transplant population is associated with increased morbidity and mortality while on the waitlist and post-transplant (Montgomery E, et al. J Transplant. 2020 Aug 7:3239495). In 2021, the International Society of Heart and Lung Transplantation recommended including a frailty assessment to complete a patient’s transplant evaluation. The committee cautioned using current assessment tools, as they are not yet accepted as the standard of care (Leard, et al. J Heart Lung Transplant. 2021 Nov;40[11]:1349-79). Existing tools being used evolved from studies of community-dwelling older adults with no predilection for distinct organ disease, which include the Fried Physical Frailty Phenotype (FPFP) and the Short Physical Performance Battery (SPPB). Along with physical limitations, frail patients tend to have abnormal biomarkers including higher inflammatory cytokines, such as plasma IL-6 and tumor necrosis factor receptor 1, and lower insulin-like growth factor I and leptin (Singer JP, et al. Am J Respir Crit Care Med. 2015;192[11]1325-34). The concept of a lung-focused approach to frailty, which considers biomarkers and body composition, is currently being researched (Singer JP, et al. J Heart Lung Transplant. 2023;S1053-S2498[23]00049-9). This disease-specific frailty scale would identify lung transplant candidates who may benefit from targeted interventions, and such frailty would also be expected to improve after transplant.

Erin Meier, MD
Section Fellow-in-Training

Anupam Kumar, MD, FCCP
Section Member-at-Large

Diffuse Lung Disease & Transplant Network

Lung Transplant Section

Frailty, a concept that originated in the geriatric population, is a state of vulnerability resulting from a decline in reserve and function across physiological systems. While it is more commonly observed in older adults, some aging-associated syndromes, such as sarcopenia, impaired cognition, inflammation, and malnutrition, may be present in younger patients with end-stage organ disease. These syndromes can be associated with biological age, as opposed to chronological age, which explains why younger patients with end-stage organ disease can develop frailty (Schaenman JM, et al. Am J Transplant. 2021 Jun;21[6]:2018-24). Frailty in the lung transplant population is associated with increased morbidity and mortality while on the waitlist and post-transplant (Montgomery E, et al. J Transplant. 2020 Aug 7:3239495). In 2021, the International Society of Heart and Lung Transplantation recommended including a frailty assessment to complete a patient’s transplant evaluation. The committee cautioned using current assessment tools, as they are not yet accepted as the standard of care (Leard, et al. J Heart Lung Transplant. 2021 Nov;40[11]:1349-79). Existing tools being used evolved from studies of community-dwelling older adults with no predilection for distinct organ disease, which include the Fried Physical Frailty Phenotype (FPFP) and the Short Physical Performance Battery (SPPB). Along with physical limitations, frail patients tend to have abnormal biomarkers including higher inflammatory cytokines, such as plasma IL-6 and tumor necrosis factor receptor 1, and lower insulin-like growth factor I and leptin (Singer JP, et al. Am J Respir Crit Care Med. 2015;192[11]1325-34). The concept of a lung-focused approach to frailty, which considers biomarkers and body composition, is currently being researched (Singer JP, et al. J Heart Lung Transplant. 2023;S1053-S2498[23]00049-9). This disease-specific frailty scale would identify lung transplant candidates who may benefit from targeted interventions, and such frailty would also be expected to improve after transplant.

Erin Meier, MD
Section Fellow-in-Training

Anupam Kumar, MD, FCCP
Section Member-at-Large

Airway Disorders Network

Bronchiectasis Section

Bronchiectasis is a chronic inflammatory lung disease characterized by the progressive destruction of the airways and persistent inflammation. In bronchiectasis, excessive neutrophil accumulation in the airways leads to release of neutrophil serine proteases (NSPs), which contributes to tissue damage and perpetuates the inflammatory process in the lungs. The three main NSPs include neutrophil elastase (NE), proteinase3, and cathepsin G. Elevations in NE activity in sputum in NCFBE are associated with increased exacerbations and declines in lung function. Dipeptidyl peptidase 1 (DPP1), an enzyme primarily found in neutrophils, is responsible for activating NSPs during neutrophil maturation. In bronchiectasis, increased DPP1 activity results in an augmented production of active NSPs, exacerbating lung damage and inflammation.

Brensocatib, an oral, reversible inhibitor of DPP1 is currently being developed as a novel approach to managing bronchiectasis. Brensocatib was evaluated in a phase 2 clinical trial (WILLOW), a randomized, double-blind, placebo-controlled trial involving adults with non–cystic fibrosis bronchiectasis (NCFBE). Treatment with brensocatib for 24 weeks significantly prolonged the time to the first exacerbation at both the 10 mg and 25 mg doses and lowered the risk of exacerbation by 40% relative to placebo. The treatment was well tolerated, with no significant safety concerns. Results of a recent post hoc analysis from the WILLOW study show that brensocatib effectively reduces exacerbations and slows lung function decline across different severities of bronchiectasis. These findings suggest that brensocatib holds potential as the 1st new therapeutic option for patients with NCFBE, with currently no FDA-approved drugs. Results of a larger-scale phase 3 trial are awaited later this year, which will hopefully confirm these results and ascertain the long-term safety.

Shyamsunder Subramanian, MD, MBBS, FCCP
Section Chair

Airway Disorders Network

Bronchiectasis Section

Bronchiectasis is a chronic inflammatory lung disease characterized by the progressive destruction of the airways and persistent inflammation. In bronchiectasis, excessive neutrophil accumulation in the airways leads to release of neutrophil serine proteases (NSPs), which contributes to tissue damage and perpetuates the inflammatory process in the lungs. The three main NSPs include neutrophil elastase (NE), proteinase3, and cathepsin G. Elevations in NE activity in sputum in NCFBE are associated with increased exacerbations and declines in lung function. Dipeptidyl peptidase 1 (DPP1), an enzyme primarily found in neutrophils, is responsible for activating NSPs during neutrophil maturation. In bronchiectasis, increased DPP1 activity results in an augmented production of active NSPs, exacerbating lung damage and inflammation.

Brensocatib, an oral, reversible inhibitor of DPP1 is currently being developed as a novel approach to managing bronchiectasis. Brensocatib was evaluated in a phase 2 clinical trial (WILLOW), a randomized, double-blind, placebo-controlled trial involving adults with non–cystic fibrosis bronchiectasis (NCFBE). Treatment with brensocatib for 24 weeks significantly prolonged the time to the first exacerbation at both the 10 mg and 25 mg doses and lowered the risk of exacerbation by 40% relative to placebo. The treatment was well tolerated, with no significant safety concerns. Results of a recent post hoc analysis from the WILLOW study show that brensocatib effectively reduces exacerbations and slows lung function decline across different severities of bronchiectasis. These findings suggest that brensocatib holds potential as the 1st new therapeutic option for patients with NCFBE, with currently no FDA-approved drugs. Results of a larger-scale phase 3 trial are awaited later this year, which will hopefully confirm these results and ascertain the long-term safety.

Shyamsunder Subramanian, MD, MBBS, FCCP
Section Chair

Airway Disorders Network

Bronchiectasis Section

Bronchiectasis is a chronic inflammatory lung disease characterized by the progressive destruction of the airways and persistent inflammation. In bronchiectasis, excessive neutrophil accumulation in the airways leads to release of neutrophil serine proteases (NSPs), which contributes to tissue damage and perpetuates the inflammatory process in the lungs. The three main NSPs include neutrophil elastase (NE), proteinase3, and cathepsin G. Elevations in NE activity in sputum in NCFBE are associated with increased exacerbations and declines in lung function. Dipeptidyl peptidase 1 (DPP1), an enzyme primarily found in neutrophils, is responsible for activating NSPs during neutrophil maturation. In bronchiectasis, increased DPP1 activity results in an augmented production of active NSPs, exacerbating lung damage and inflammation.

Brensocatib, an oral, reversible inhibitor of DPP1 is currently being developed as a novel approach to managing bronchiectasis. Brensocatib was evaluated in a phase 2 clinical trial (WILLOW), a randomized, double-blind, placebo-controlled trial involving adults with non–cystic fibrosis bronchiectasis (NCFBE). Treatment with brensocatib for 24 weeks significantly prolonged the time to the first exacerbation at both the 10 mg and 25 mg doses and lowered the risk of exacerbation by 40% relative to placebo. The treatment was well tolerated, with no significant safety concerns. Results of a recent post hoc analysis from the WILLOW study show that brensocatib effectively reduces exacerbations and slows lung function decline across different severities of bronchiectasis. These findings suggest that brensocatib holds potential as the 1st new therapeutic option for patients with NCFBE, with currently no FDA-approved drugs. Results of a larger-scale phase 3 trial are awaited later this year, which will hopefully confirm these results and ascertain the long-term safety.

Shyamsunder Subramanian, MD, MBBS, FCCP
Section Chair

After much anticipation, the inaugural issues of both CHEST^®Critical Care and CHEST^®Pulmonary officially launched in late June. These new open access additions to the journal CHEST^® portfolio feature content that is permanently and freely available online for all – promoting transparency, inclusiveness, and collaboration in research – and offer authors more avenues to share their practice-changing research.

The first issue of CHEST Critical Care featured research into ICU mortality across prepandemic and pandemic cohorts in resource-limited settings in South Africa, an exploration into symptom trajectory in recipients of hematopoietic stem-cell transplantation, a narrative review of post-intensive care syndrome, and an investigation into early echocardiographic and ultrasonographic findings in critically ill patients with COVID-19.

In addition, an editorial from Hayley Gershengorn, MD, Editor in Chief of CHEST Critical Care, offers readers more insights into the need for a publication focused on the breadth of clinical topics in critical care and her goals for the new publication.

“I’m ecstatic for this launch. We are grateful to our authors for the trust they put in us and are excited to share their work with our critical care colleagues around the world,” Dr. Gershengorn said. “The editorial team and the American College of Chest Physicians staff have worked tirelessly on this journal, and it’s incredibly gratifying to see the first issue publish.”

Read the full issue and new research from the journal at www.chestcc.org.

In his own editorial featured in the inaugural issue of CHEST Pulmonary, Editor in Chief Matthew Miles, MD, MEd, FCCP, shares how the flagship journal’s proud heritage of sharing impactful clinical research – and the need to target areas of pulmonary and sleep medicine research not covered by other journals – inspired the creation of this new publication.

The issue also includes research into mobile health opportunities for asthma management, an exploration into telemedicine for patients with interstitial lung diseases, an in-depth review into the rare and often underdiagnosed disorder primary ciliary dyskinesia, research on the impact of the social vulnerability index on pulmonary embolism mortality, and an investigation into pneumothorax complications after percutaneous lung biopsy.

“I am deeply grateful to our authors, reviewers, editorial board, and staff who have contributed to the launch of our first issue,” Dr. Miles said. “The journal CHEST is known for excellence in clinically relevant research and patient management guidance. CHEST Pulmonary expands the CHEST portfolio with additional opportunity for researchers to share their work in an exclusively open access format to reach the broadest possible audience. I know our readers will enjoy learning from the research and reviews in issue one.”

Review the full issue and new articles from CHEST Pulmonary at www.chestpulmonary.org.

After much anticipation, the inaugural issues of both CHEST^®Critical Care and CHEST^®Pulmonary officially launched in late June. These new open access additions to the journal CHEST^® portfolio feature content that is permanently and freely available online for all – promoting transparency, inclusiveness, and collaboration in research – and offer authors more avenues to share their practice-changing research.

The first issue of CHEST Critical Care featured research into ICU mortality across prepandemic and pandemic cohorts in resource-limited settings in South Africa, an exploration into symptom trajectory in recipients of hematopoietic stem-cell transplantation, a narrative review of post-intensive care syndrome, and an investigation into early echocardiographic and ultrasonographic findings in critically ill patients with COVID-19.

In addition, an editorial from Hayley Gershengorn, MD, Editor in Chief of CHEST Critical Care, offers readers more insights into the need for a publication focused on the breadth of clinical topics in critical care and her goals for the new publication.

“I’m ecstatic for this launch. We are grateful to our authors for the trust they put in us and are excited to share their work with our critical care colleagues around the world,” Dr. Gershengorn said. “The editorial team and the American College of Chest Physicians staff have worked tirelessly on this journal, and it’s incredibly gratifying to see the first issue publish.”

Read the full issue and new research from the journal at www.chestcc.org.

In his own editorial featured in the inaugural issue of CHEST Pulmonary, Editor in Chief Matthew Miles, MD, MEd, FCCP, shares how the flagship journal’s proud heritage of sharing impactful clinical research – and the need to target areas of pulmonary and sleep medicine research not covered by other journals – inspired the creation of this new publication.

The issue also includes research into mobile health opportunities for asthma management, an exploration into telemedicine for patients with interstitial lung diseases, an in-depth review into the rare and often underdiagnosed disorder primary ciliary dyskinesia, research on the impact of the social vulnerability index on pulmonary embolism mortality, and an investigation into pneumothorax complications after percutaneous lung biopsy.

“I am deeply grateful to our authors, reviewers, editorial board, and staff who have contributed to the launch of our first issue,” Dr. Miles said. “The journal CHEST is known for excellence in clinically relevant research and patient management guidance. CHEST Pulmonary expands the CHEST portfolio with additional opportunity for researchers to share their work in an exclusively open access format to reach the broadest possible audience. I know our readers will enjoy learning from the research and reviews in issue one.”

Review the full issue and new articles from CHEST Pulmonary at www.chestpulmonary.org.

After much anticipation, the inaugural issues of both CHEST^®Critical Care and CHEST^®Pulmonary officially launched in late June. These new open access additions to the journal CHEST^® portfolio feature content that is permanently and freely available online for all – promoting transparency, inclusiveness, and collaboration in research – and offer authors more avenues to share their practice-changing research.

The first issue of CHEST Critical Care featured research into ICU mortality across prepandemic and pandemic cohorts in resource-limited settings in South Africa, an exploration into symptom trajectory in recipients of hematopoietic stem-cell transplantation, a narrative review of post-intensive care syndrome, and an investigation into early echocardiographic and ultrasonographic findings in critically ill patients with COVID-19.

In addition, an editorial from Hayley Gershengorn, MD, Editor in Chief of CHEST Critical Care, offers readers more insights into the need for a publication focused on the breadth of clinical topics in critical care and her goals for the new publication.

“I’m ecstatic for this launch. We are grateful to our authors for the trust they put in us and are excited to share their work with our critical care colleagues around the world,” Dr. Gershengorn said. “The editorial team and the American College of Chest Physicians staff have worked tirelessly on this journal, and it’s incredibly gratifying to see the first issue publish.”

Read the full issue and new research from the journal at www.chestcc.org.

In his own editorial featured in the inaugural issue of CHEST Pulmonary, Editor in Chief Matthew Miles, MD, MEd, FCCP, shares how the flagship journal’s proud heritage of sharing impactful clinical research – and the need to target areas of pulmonary and sleep medicine research not covered by other journals – inspired the creation of this new publication.

The issue also includes research into mobile health opportunities for asthma management, an exploration into telemedicine for patients with interstitial lung diseases, an in-depth review into the rare and often underdiagnosed disorder primary ciliary dyskinesia, research on the impact of the social vulnerability index on pulmonary embolism mortality, and an investigation into pneumothorax complications after percutaneous lung biopsy.

“I am deeply grateful to our authors, reviewers, editorial board, and staff who have contributed to the launch of our first issue,” Dr. Miles said. “The journal CHEST is known for excellence in clinically relevant research and patient management guidance. CHEST Pulmonary expands the CHEST portfolio with additional opportunity for researchers to share their work in an exclusively open access format to reach the broadest possible audience. I know our readers will enjoy learning from the research and reviews in issue one.”

Review the full issue and new articles from CHEST Pulmonary at www.chestpulmonary.org.

Dr. Hossri and Dr. Ivashchuk are with UTHealth Houston –Texas Medical Center, Department of Internal Medicine; Division of Pulmonary, Critical Care, and Sleep Medicine.

As new treatments for specific moderate to severe asthma phenotypes have been developed, management decisions have grown more complicated. The treatment indications for asthma are clear; however, there is overlap with certain therapeutics that target the same pathway with similar end results. In the past decade, research to help providers decide which biologic therapy to use for defined cases has increased. It is now customary to call such treatment “tailored therapy” because it is not a one-size-fits-all approach that follows a rigid algorithm. Instead, it is a customized treatment plan that accounts for patient-specific risk factors and comorbidities.

Comorbidities commonly associated with asthma include atopic dermatitis, chronic rhinosinusitis with nasal polyposis, eosinophilic granulomatosis with polyangiitis, eosinophilic esophagitis, bronchiectasis and allergic bronchopulmonary aspergillosis. While we lack consensus or a universally accepted treatment algorithm for treating asthma when these comorbidities are present, recent evidence helps guide us to which therapies work best.
 

Atopic dermatitis

There is a higher prevalence of asthma in patients with atopic dermatitis. A concept called the “atopic march” refers to the progression of childhood atopic dermatitis to manifestations such as asthma, food allergies, and hay fever. The more severe the atopic dermatitis is in childhood, the higher the risk for asthma later on in life. The data on the biologic pathogenesis of atopic dermatitis point to the involvement of interleukins – interleukin (IL)-4 and IL 13 (Silverberg JI. Ann Allergy Asthma Immunol. 2019;123[2]:144-51).

CHEST

These same interleukins are active in what is called “Th2-high” asthma. The activation of Th2 cells in the inflammatory pathway occurs in atopic dermatitis and asthma irrespective of immunoglobulin E levels. Preliminary data show therapies that target IL-13 alone are effective for treating asthma with comorbid atopic dermatitis but those blocking both IL-4 and IL-13, like dupilumab, are superior. Both interleukins are considered pivotal in the Th-2 pathway. This suggests that dual inhibition is an integral component in the treatment of moderate to severe atopic dermatitis with asthma. Analysis of other Th2 mediators, such as mepolizumab (IL-5 antagonist) and omalizumab (anti-IgE) have shown minimal efficacy, further supporting the use of dupilumab (Guttman-Yassky E, et al. J Allergy Clin. Immunol. 2019 Jan;143[1]:155-72).

Chronic rhinosinusitis with nasal polyposis

The “unified airway” concept holds that because the upper airways (nasal mucosa, pharynx, and larynx) are in direct communication with the lower airways (bronchi and bronchioles). This would explain the correlation between chronic rhinosinusitis with nasal polyposis (CRSwNP) and asthma. Many studies also show the severity of one disease increases the severity of the other.

CHEST

Patients with both CRSwNP and asthma typically experience a more treatment-resistant course characterized by higher rates of corticosteroid dependence and nasal polyposis recurrences when compared with asthma alone (Laidlaw TM, et al. J Allergy Clin Immunol. 2021 Mar;9[3]:1133-41). They typically have Th2-high asthma and are usually eosinophilic. The optimal treatment approach is mindful of the unified airway concept. Large-scale studies demonstrate significant benefit when targeting IL-5, especially in those with bilateral nasal polyps, need for systemic steroids in the past 2 years, significant impairment in quality of life, loss of smell, and a concomitant diagnosis of asthma (Fokkens WJ, et al. Allergy. 2019 Dec;74[12]:2312). Although data are inconsistent, there is enough evidence to suggest dupilumab be considered for those with eosinophilic asthma and CRSwNP along with atopy, atopic dermatitis, and/or high FeNO levels. In those without atopic symptoms, an anti-IL5/anti-IL5R (mainly mepolizumab and benralizumab) is preferred. Having said this, direct comparative analyses between biologics are lacking, and the above approach relies on an indirect assessment of existing data coupled with clinical experience. The approach may change as new data become available.

Eosinophilic granulomatosis with polyangiitis

Eosinophilic granulomatosis with polyangiitis (EGPA) is a vasculitis characterized by disseminated necrotizing eosinophilic granulomas. EGPA is driven by a response similar to that seen in Th2-high asthma. Adult-onset asthma with sinusitis and allergic rhinitis is the most common EGPA presentation. Of all the biologics, mepolizumab has been best studied as treatment for those with EGPA and asthma symptoms. One small study demonstrated disease remission in 8 of 10 cases (Moosig F, et al. Ann Intern Med. 2011 Sep 6;155[5]:341-3). However, many of these patients relapsed after discontinuing therapy.

Eosinophilic esophagitis

Recent reports demonstrated a large portion of adults with a

diagnosis of eosinophilic

esophagitis (EoE) also have a history of asthma. Currently, standard treatment is proton pump

inhibitors and diet modifications. The prevalence of EoE has increased with growing awareness of the disease. Unrecognized and untreated EoE can lead to devastating complications such as esophageal fibrosis, strictures, and food impaction. Similar to some of the above-mentioned syndromes,

EoE is also driven by a Th2 response and eosinophilic inflammation. A recent study in 2022 showed that 31% to 38% of

people with EoE had concomitant asthma (Dellon ES, et al. N Engl J Med. 2022 Dec 22;387 [25]:2317-30). In this population, a weekly dose of dupilumab, 300 mg, led

to a significant improvement in dysphagia symptoms and

histology when compared with placebo.

Allergic bronchopulmonary aspergillosis

Despite its low prevalence worldwide, allergic bronchopulmonary aspergillosis (ABPA) is frequently encountered when managing severe asthma. Current treatment is long-term, relatively high dose systemic corticosteroids. In light of their unfavorable side effect profile, steroid-sparing approaches are being sought. Dupilumab, omalizumab, mepolizumab, and benralizumab have all been tested for their effects on ABPA. Thus far, mepolizumab has the most convincing evidence to support its use for asthma with concomitant ABPA, mainly because it has the most rapid onset of action. Up to 90% of patients with ABPA were able to stop systemic steroids between 2 and 14 months after starting mepolizumab (Schleich F, et al. J Allergy Clin Immunol. 2020 Jul-Aug;8[7]:2412-3.e2).

Bronchiectasis

Asthma and bronchiectasis can coexist in up to 77% of patients. Typically, the pathophysiology behind bronchiectasis is focused around neutrophilic inflammation. New evidence suggests some patients with bronchiectasis, usually in the setting of comorbid adult-onset asthma, demonstrate an eosinophilic Th-2 response. The association is seen more commonly in female patients, the elderly, and nonsmokers. A small prospective study with four patients with severe asthma and bronchiectasis showed significant improvement with less exacerbations, increased pre-bronchodilator FEV₁, and a reduction of serum and sputum eosinophils after starting mepolizumab treatment (Carpagnano GE, et al. J Asthma Allergy. 2019 Mar 5;12:83-90). Clinical trials designed to clarify the role for biologics for asthma with co-morbid bronchiectasis are currently underway.

Dr. Hossri and Dr. Ivashchuk are with UTHealth Houston –Texas Medical Center, Department of Internal Medicine; Division of Pulmonary, Critical Care, and Sleep Medicine.

As new treatments for specific moderate to severe asthma phenotypes have been developed, management decisions have grown more complicated. The treatment indications for asthma are clear; however, there is overlap with certain therapeutics that target the same pathway with similar end results. In the past decade, research to help providers decide which biologic therapy to use for defined cases has increased. It is now customary to call such treatment “tailored therapy” because it is not a one-size-fits-all approach that follows a rigid algorithm. Instead, it is a customized treatment plan that accounts for patient-specific risk factors and comorbidities.

Comorbidities commonly associated with asthma include atopic dermatitis, chronic rhinosinusitis with nasal polyposis, eosinophilic granulomatosis with polyangiitis, eosinophilic esophagitis, bronchiectasis and allergic bronchopulmonary aspergillosis. While we lack consensus or a universally accepted treatment algorithm for treating asthma when these comorbidities are present, recent evidence helps guide us to which therapies work best.
 

Atopic dermatitis

There is a higher prevalence of asthma in patients with atopic dermatitis. A concept called the “atopic march” refers to the progression of childhood atopic dermatitis to manifestations such as asthma, food allergies, and hay fever. The more severe the atopic dermatitis is in childhood, the higher the risk for asthma later on in life. The data on the biologic pathogenesis of atopic dermatitis point to the involvement of interleukins – interleukin (IL)-4 and IL 13 (Silverberg JI. Ann Allergy Asthma Immunol. 2019;123[2]:144-51).

CHEST

These same interleukins are active in what is called “Th2-high” asthma. The activation of Th2 cells in the inflammatory pathway occurs in atopic dermatitis and asthma irrespective of immunoglobulin E levels. Preliminary data show therapies that target IL-13 alone are effective for treating asthma with comorbid atopic dermatitis but those blocking both IL-4 and IL-13, like dupilumab, are superior. Both interleukins are considered pivotal in the Th-2 pathway. This suggests that dual inhibition is an integral component in the treatment of moderate to severe atopic dermatitis with asthma. Analysis of other Th2 mediators, such as mepolizumab (IL-5 antagonist) and omalizumab (anti-IgE) have shown minimal efficacy, further supporting the use of dupilumab (Guttman-Yassky E, et al. J Allergy Clin. Immunol. 2019 Jan;143[1]:155-72).

Chronic rhinosinusitis with nasal polyposis

The “unified airway” concept holds that because the upper airways (nasal mucosa, pharynx, and larynx) are in direct communication with the lower airways (bronchi and bronchioles). This would explain the correlation between chronic rhinosinusitis with nasal polyposis (CRSwNP) and asthma. Many studies also show the severity of one disease increases the severity of the other.

CHEST

Patients with both CRSwNP and asthma typically experience a more treatment-resistant course characterized by higher rates of corticosteroid dependence and nasal polyposis recurrences when compared with asthma alone (Laidlaw TM, et al. J Allergy Clin Immunol. 2021 Mar;9[3]:1133-41). They typically have Th2-high asthma and are usually eosinophilic. The optimal treatment approach is mindful of the unified airway concept. Large-scale studies demonstrate significant benefit when targeting IL-5, especially in those with bilateral nasal polyps, need for systemic steroids in the past 2 years, significant impairment in quality of life, loss of smell, and a concomitant diagnosis of asthma (Fokkens WJ, et al. Allergy. 2019 Dec;74[12]:2312). Although data are inconsistent, there is enough evidence to suggest dupilumab be considered for those with eosinophilic asthma and CRSwNP along with atopy, atopic dermatitis, and/or high FeNO levels. In those without atopic symptoms, an anti-IL5/anti-IL5R (mainly mepolizumab and benralizumab) is preferred. Having said this, direct comparative analyses between biologics are lacking, and the above approach relies on an indirect assessment of existing data coupled with clinical experience. The approach may change as new data become available.

Eosinophilic granulomatosis with polyangiitis

Eosinophilic granulomatosis with polyangiitis (EGPA) is a vasculitis characterized by disseminated necrotizing eosinophilic granulomas. EGPA is driven by a response similar to that seen in Th2-high asthma. Adult-onset asthma with sinusitis and allergic rhinitis is the most common EGPA presentation. Of all the biologics, mepolizumab has been best studied as treatment for those with EGPA and asthma symptoms. One small study demonstrated disease remission in 8 of 10 cases (Moosig F, et al. Ann Intern Med. 2011 Sep 6;155[5]:341-3). However, many of these patients relapsed after discontinuing therapy.

Eosinophilic esophagitis

Recent reports demonstrated a large portion of adults with a

diagnosis of eosinophilic

esophagitis (EoE) also have a history of asthma. Currently, standard treatment is proton pump

inhibitors and diet modifications. The prevalence of EoE has increased with growing awareness of the disease. Unrecognized and untreated EoE can lead to devastating complications such as esophageal fibrosis, strictures, and food impaction. Similar to some of the above-mentioned syndromes,

EoE is also driven by a Th2 response and eosinophilic inflammation. A recent study in 2022 showed that 31% to 38% of

people with EoE had concomitant asthma (Dellon ES, et al. N Engl J Med. 2022 Dec 22;387 [25]:2317-30). In this population, a weekly dose of dupilumab, 300 mg, led

to a significant improvement in dysphagia symptoms and

histology when compared with placebo.

Allergic bronchopulmonary aspergillosis

Despite its low prevalence worldwide, allergic bronchopulmonary aspergillosis (ABPA) is frequently encountered when managing severe asthma. Current treatment is long-term, relatively high dose systemic corticosteroids. In light of their unfavorable side effect profile, steroid-sparing approaches are being sought. Dupilumab, omalizumab, mepolizumab, and benralizumab have all been tested for their effects on ABPA. Thus far, mepolizumab has the most convincing evidence to support its use for asthma with concomitant ABPA, mainly because it has the most rapid onset of action. Up to 90% of patients with ABPA were able to stop systemic steroids between 2 and 14 months after starting mepolizumab (Schleich F, et al. J Allergy Clin Immunol. 2020 Jul-Aug;8[7]:2412-3.e2).

Bronchiectasis

Asthma and bronchiectasis can coexist in up to 77% of patients. Typically, the pathophysiology behind bronchiectasis is focused around neutrophilic inflammation. New evidence suggests some patients with bronchiectasis, usually in the setting of comorbid adult-onset asthma, demonstrate an eosinophilic Th-2 response. The association is seen more commonly in female patients, the elderly, and nonsmokers. A small prospective study with four patients with severe asthma and bronchiectasis showed significant improvement with less exacerbations, increased pre-bronchodilator FEV₁, and a reduction of serum and sputum eosinophils after starting mepolizumab treatment (Carpagnano GE, et al. J Asthma Allergy. 2019 Mar 5;12:83-90). Clinical trials designed to clarify the role for biologics for asthma with co-morbid bronchiectasis are currently underway.

Dr. Hossri and Dr. Ivashchuk are with UTHealth Houston –Texas Medical Center, Department of Internal Medicine; Division of Pulmonary, Critical Care, and Sleep Medicine.

As new treatments for specific moderate to severe asthma phenotypes have been developed, management decisions have grown more complicated. The treatment indications for asthma are clear; however, there is overlap with certain therapeutics that target the same pathway with similar end results. In the past decade, research to help providers decide which biologic therapy to use for defined cases has increased. It is now customary to call such treatment “tailored therapy” because it is not a one-size-fits-all approach that follows a rigid algorithm. Instead, it is a customized treatment plan that accounts for patient-specific risk factors and comorbidities.

Comorbidities commonly associated with asthma include atopic dermatitis, chronic rhinosinusitis with nasal polyposis, eosinophilic granulomatosis with polyangiitis, eosinophilic esophagitis, bronchiectasis and allergic bronchopulmonary aspergillosis. While we lack consensus or a universally accepted treatment algorithm for treating asthma when these comorbidities are present, recent evidence helps guide us to which therapies work best.
 

Atopic dermatitis

There is a higher prevalence of asthma in patients with atopic dermatitis. A concept called the “atopic march” refers to the progression of childhood atopic dermatitis to manifestations such as asthma, food allergies, and hay fever. The more severe the atopic dermatitis is in childhood, the higher the risk for asthma later on in life. The data on the biologic pathogenesis of atopic dermatitis point to the involvement of interleukins – interleukin (IL)-4 and IL 13 (Silverberg JI. Ann Allergy Asthma Immunol. 2019;123[2]:144-51).

CHEST

These same interleukins are active in what is called “Th2-high” asthma. The activation of Th2 cells in the inflammatory pathway occurs in atopic dermatitis and asthma irrespective of immunoglobulin E levels. Preliminary data show therapies that target IL-13 alone are effective for treating asthma with comorbid atopic dermatitis but those blocking both IL-4 and IL-13, like dupilumab, are superior. Both interleukins are considered pivotal in the Th-2 pathway. This suggests that dual inhibition is an integral component in the treatment of moderate to severe atopic dermatitis with asthma. Analysis of other Th2 mediators, such as mepolizumab (IL-5 antagonist) and omalizumab (anti-IgE) have shown minimal efficacy, further supporting the use of dupilumab (Guttman-Yassky E, et al. J Allergy Clin. Immunol. 2019 Jan;143[1]:155-72).

Chronic rhinosinusitis with nasal polyposis

The “unified airway” concept holds that because the upper airways (nasal mucosa, pharynx, and larynx) are in direct communication with the lower airways (bronchi and bronchioles). This would explain the correlation between chronic rhinosinusitis with nasal polyposis (CRSwNP) and asthma. Many studies also show the severity of one disease increases the severity of the other.

CHEST

Patients with both CRSwNP and asthma typically experience a more treatment-resistant course characterized by higher rates of corticosteroid dependence and nasal polyposis recurrences when compared with asthma alone (Laidlaw TM, et al. J Allergy Clin Immunol. 2021 Mar;9[3]:1133-41). They typically have Th2-high asthma and are usually eosinophilic. The optimal treatment approach is mindful of the unified airway concept. Large-scale studies demonstrate significant benefit when targeting IL-5, especially in those with bilateral nasal polyps, need for systemic steroids in the past 2 years, significant impairment in quality of life, loss of smell, and a concomitant diagnosis of asthma (Fokkens WJ, et al. Allergy. 2019 Dec;74[12]:2312). Although data are inconsistent, there is enough evidence to suggest dupilumab be considered for those with eosinophilic asthma and CRSwNP along with atopy, atopic dermatitis, and/or high FeNO levels. In those without atopic symptoms, an anti-IL5/anti-IL5R (mainly mepolizumab and benralizumab) is preferred. Having said this, direct comparative analyses between biologics are lacking, and the above approach relies on an indirect assessment of existing data coupled with clinical experience. The approach may change as new data become available.

Eosinophilic granulomatosis with polyangiitis

Eosinophilic granulomatosis with polyangiitis (EGPA) is a vasculitis characterized by disseminated necrotizing eosinophilic granulomas. EGPA is driven by a response similar to that seen in Th2-high asthma. Adult-onset asthma with sinusitis and allergic rhinitis is the most common EGPA presentation. Of all the biologics, mepolizumab has been best studied as treatment for those with EGPA and asthma symptoms. One small study demonstrated disease remission in 8 of 10 cases (Moosig F, et al. Ann Intern Med. 2011 Sep 6;155[5]:341-3). However, many of these patients relapsed after discontinuing therapy.

Eosinophilic esophagitis

Recent reports demonstrated a large portion of adults with a

diagnosis of eosinophilic

esophagitis (EoE) also have a history of asthma. Currently, standard treatment is proton pump

inhibitors and diet modifications. The prevalence of EoE has increased with growing awareness of the disease. Unrecognized and untreated EoE can lead to devastating complications such as esophageal fibrosis, strictures, and food impaction. Similar to some of the above-mentioned syndromes,

EoE is also driven by a Th2 response and eosinophilic inflammation. A recent study in 2022 showed that 31% to 38% of

people with EoE had concomitant asthma (Dellon ES, et al. N Engl J Med. 2022 Dec 22;387 [25]:2317-30). In this population, a weekly dose of dupilumab, 300 mg, led

to a significant improvement in dysphagia symptoms and

histology when compared with placebo.

Allergic bronchopulmonary aspergillosis

Despite its low prevalence worldwide, allergic bronchopulmonary aspergillosis (ABPA) is frequently encountered when managing severe asthma. Current treatment is long-term, relatively high dose systemic corticosteroids. In light of their unfavorable side effect profile, steroid-sparing approaches are being sought. Dupilumab, omalizumab, mepolizumab, and benralizumab have all been tested for their effects on ABPA. Thus far, mepolizumab has the most convincing evidence to support its use for asthma with concomitant ABPA, mainly because it has the most rapid onset of action. Up to 90% of patients with ABPA were able to stop systemic steroids between 2 and 14 months after starting mepolizumab (Schleich F, et al. J Allergy Clin Immunol. 2020 Jul-Aug;8[7]:2412-3.e2).

Bronchiectasis

Asthma and bronchiectasis can coexist in up to 77% of patients. Typically, the pathophysiology behind bronchiectasis is focused around neutrophilic inflammation. New evidence suggests some patients with bronchiectasis, usually in the setting of comorbid adult-onset asthma, demonstrate an eosinophilic Th-2 response. The association is seen more commonly in female patients, the elderly, and nonsmokers. A small prospective study with four patients with severe asthma and bronchiectasis showed significant improvement with less exacerbations, increased pre-bronchodilator FEV₁, and a reduction of serum and sputum eosinophils after starting mepolizumab treatment (Carpagnano GE, et al. J Asthma Allergy. 2019 Mar 5;12:83-90). Clinical trials designed to clarify the role for biologics for asthma with co-morbid bronchiectasis are currently underway.