Pulmonology

High levels of eosinophils had a protective effect for individuals who experienced acute exacerbations of chronic obstructive pulmonary disease, based on data from nearly 1,000 patients.

Several blood biomarkers are under investigation for links to acute exacerbation of chronic obstructive pulmonary disease (AECOPD), which remains one of the top three causes of death worldwide, wrote Riuying Wang, MD, of Third Hospital of Shanxi Medical University, Taiyuan, China, and colleagues.

“Numerous studies have shown the relationship between eosinophilia and clinical outcomes of patients with AECOPD. However, the evidence lacks consensus, and the research thresholds are controversial,” they said.

In a study published in Heart & Lung, the researchers reviewed data from 984 adults with AECOPD over a 3-year follow-up period. The mean age of the patients was 71 years, and 78% were men. The patients’ blood eosinophil levels were grouped into three categories: EOS < 2%, EOS from 2% to < 3%, and 3% or higher. The researchers examined the association between eosinophilia and various comorbidities, treatment, and mortality.

Eosinophilia occurred in 477 cases. The prevalence of eosinophilia in the three groups was 36.48%, 22.87%, and 48.48% respectively, with eosinophilia defined as eosinophil counts of at least 100 cells per microliter, according to the report in Heart & Lung.

An EOS of 2% or higher was associated with significantly fewer cases of complicated pulmonary heart disease and atrial fibrillation than the lower EOS group. Similarly, patients in the EOS group of 2% or higher were less likely to use ventilators and systemic glucocorticoids and those in the EOS less than 2% group had significantly heavier airflow limitation, higher D-dimer, higher burden of infectious inflammation, and higher prevalence of respiratory failure than the other groups.

In addition, significantly fewer deaths occurred during the study period among patients with EOS of 2% or higher, compared with the lower EOS group (P < .01). The findings suggest that “Eosinophils can be used as a prognostic indicator of mortality in AECOPD,” the researchers said.

The researchers also used the area under the curve to examine the predictive value of EOS. The ROC curve showed that the indicators of AUC 0.5 included chest CT imaging, osteoporosis, mental illness, dust exposure, and being a former smoker; however, “the predictive value of EOS by the ROC curve was unstable. Further validation in large samples is needed,” the researchers wrote in their discussion.

The study findings were limited by several factors including the retrospective design and use of data from a single center, the researchers noted. Other limitations included the relatively small sample size and a lack of data on some clinical features and performance metrics, as well as lack of evaluation of chest CT subtypes.

However, the results are consistent with previous studies on infection and antibiotics and reviewed the optimal threshold of AECOPD, the researchers wrote. Based on their findings, “Eosinophils can not only guide clinical treatment but also be used as an index to predict the clinical outcome and prognosis of AECOPD patients,” they concluded.

The study received no outside funding. The researchers had no financial conflicts to disclose.

High levels of eosinophils had a protective effect for individuals who experienced acute exacerbations of chronic obstructive pulmonary disease, based on data from nearly 1,000 patients.

Several blood biomarkers are under investigation for links to acute exacerbation of chronic obstructive pulmonary disease (AECOPD), which remains one of the top three causes of death worldwide, wrote Riuying Wang, MD, of Third Hospital of Shanxi Medical University, Taiyuan, China, and colleagues.

“Numerous studies have shown the relationship between eosinophilia and clinical outcomes of patients with AECOPD. However, the evidence lacks consensus, and the research thresholds are controversial,” they said.

In a study published in Heart & Lung, the researchers reviewed data from 984 adults with AECOPD over a 3-year follow-up period. The mean age of the patients was 71 years, and 78% were men. The patients’ blood eosinophil levels were grouped into three categories: EOS < 2%, EOS from 2% to < 3%, and 3% or higher. The researchers examined the association between eosinophilia and various comorbidities, treatment, and mortality.

Eosinophilia occurred in 477 cases. The prevalence of eosinophilia in the three groups was 36.48%, 22.87%, and 48.48% respectively, with eosinophilia defined as eosinophil counts of at least 100 cells per microliter, according to the report in Heart & Lung.

An EOS of 2% or higher was associated with significantly fewer cases of complicated pulmonary heart disease and atrial fibrillation than the lower EOS group. Similarly, patients in the EOS group of 2% or higher were less likely to use ventilators and systemic glucocorticoids and those in the EOS less than 2% group had significantly heavier airflow limitation, higher D-dimer, higher burden of infectious inflammation, and higher prevalence of respiratory failure than the other groups.

In addition, significantly fewer deaths occurred during the study period among patients with EOS of 2% or higher, compared with the lower EOS group (P < .01). The findings suggest that “Eosinophils can be used as a prognostic indicator of mortality in AECOPD,” the researchers said.

The researchers also used the area under the curve to examine the predictive value of EOS. The ROC curve showed that the indicators of AUC 0.5 included chest CT imaging, osteoporosis, mental illness, dust exposure, and being a former smoker; however, “the predictive value of EOS by the ROC curve was unstable. Further validation in large samples is needed,” the researchers wrote in their discussion.

The study findings were limited by several factors including the retrospective design and use of data from a single center, the researchers noted. Other limitations included the relatively small sample size and a lack of data on some clinical features and performance metrics, as well as lack of evaluation of chest CT subtypes.

However, the results are consistent with previous studies on infection and antibiotics and reviewed the optimal threshold of AECOPD, the researchers wrote. Based on their findings, “Eosinophils can not only guide clinical treatment but also be used as an index to predict the clinical outcome and prognosis of AECOPD patients,” they concluded.

The study received no outside funding. The researchers had no financial conflicts to disclose.

High levels of eosinophils had a protective effect for individuals who experienced acute exacerbations of chronic obstructive pulmonary disease, based on data from nearly 1,000 patients.

Several blood biomarkers are under investigation for links to acute exacerbation of chronic obstructive pulmonary disease (AECOPD), which remains one of the top three causes of death worldwide, wrote Riuying Wang, MD, of Third Hospital of Shanxi Medical University, Taiyuan, China, and colleagues.

“Numerous studies have shown the relationship between eosinophilia and clinical outcomes of patients with AECOPD. However, the evidence lacks consensus, and the research thresholds are controversial,” they said.

In a study published in Heart & Lung, the researchers reviewed data from 984 adults with AECOPD over a 3-year follow-up period. The mean age of the patients was 71 years, and 78% were men. The patients’ blood eosinophil levels were grouped into three categories: EOS < 2%, EOS from 2% to < 3%, and 3% or higher. The researchers examined the association between eosinophilia and various comorbidities, treatment, and mortality.

Eosinophilia occurred in 477 cases. The prevalence of eosinophilia in the three groups was 36.48%, 22.87%, and 48.48% respectively, with eosinophilia defined as eosinophil counts of at least 100 cells per microliter, according to the report in Heart & Lung.

An EOS of 2% or higher was associated with significantly fewer cases of complicated pulmonary heart disease and atrial fibrillation than the lower EOS group. Similarly, patients in the EOS group of 2% or higher were less likely to use ventilators and systemic glucocorticoids and those in the EOS less than 2% group had significantly heavier airflow limitation, higher D-dimer, higher burden of infectious inflammation, and higher prevalence of respiratory failure than the other groups.

In addition, significantly fewer deaths occurred during the study period among patients with EOS of 2% or higher, compared with the lower EOS group (P < .01). The findings suggest that “Eosinophils can be used as a prognostic indicator of mortality in AECOPD,” the researchers said.

The researchers also used the area under the curve to examine the predictive value of EOS. The ROC curve showed that the indicators of AUC 0.5 included chest CT imaging, osteoporosis, mental illness, dust exposure, and being a former smoker; however, “the predictive value of EOS by the ROC curve was unstable. Further validation in large samples is needed,” the researchers wrote in their discussion.

The study findings were limited by several factors including the retrospective design and use of data from a single center, the researchers noted. Other limitations included the relatively small sample size and a lack of data on some clinical features and performance metrics, as well as lack of evaluation of chest CT subtypes.

However, the results are consistent with previous studies on infection and antibiotics and reviewed the optimal threshold of AECOPD, the researchers wrote. Based on their findings, “Eosinophils can not only guide clinical treatment but also be used as an index to predict the clinical outcome and prognosis of AECOPD patients,” they concluded.

The study received no outside funding. The researchers had no financial conflicts to disclose.

Poor sleep quality was linked to an increased risk of life-threatening exacerbations in people with chronic obstructive pulmonary disease (COPD), according to a study reported online in the journal Sleep.

Researchers followed 1,647 patients with confirmed COPD who were enrolled in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS). SPIROMICS is a multicenter study funded by the National Heart, Lung, and Blood Institute and the COPD Foundation and is designed to evaluate COPD subpopulations, outcomes, and biomarkers. All participants in the study were current or former smokers with confirmed COPD.

COPD exacerbations over a 3-year follow-up period were compared against reported sleep quality. The researchers used the Pittsburgh Sleep Quality Index (PSQI), a combination of seven sleep measures, including sleep duration, timing of sleep, and frequency of disturbances. The higher the score, the worse the quality of sleep.

Individuals who self-reported having poor-quality sleep had a 25%-95% higher risk of COPD exacerbations, compared with those who reported good-quality sleep, according to the results.

There was a significant association between PSQI score and total and mean exacerbations in the unadjusted analysis (incidence rate ratios, 1.09; 95% confidence interval, 1.05-1.13) and the analysis adjusted for demographics, medical comorbidities, disease severity, medication usage, and socioeconomic environmental exposure (IRR, 1.08; 95% CI, 1.03-1.13).

In addition, the PSQI score was independently associated with an increased risk of hospitalization, with a 7% increase in risk of hospitalization with each 1-point increase in PSQI, according to the researchers.
 

Surprising findings

These findings suggest that sleep quality may be a better predictor of flare-ups than the patient’s history of smoking, according to the researchers.

“Among those who already have COPD, knowing how they sleep at night will tell me much more about their risk of a flare-up than knowing whether they smoked for 40 versus 60 years. … That is very surprising and is not necessarily what I expected going into this study. Smoking is such a central process to COPD that I would have predicted it would be the more important predictor in the case of exacerbations,” said lead study author Aaron Baugh, MD, a practicing pulmonologist, and a clinical fellow at the University of California, San Francisco, in a National Institutes of Health press release on the study.

The study findings were applicable to all races and ethnicities studied, however the results may be particularly relevant to Black Americans, Dr. Baugh indicated, because past studies have shown that Black Americans tend to have poorer sleep quality than other races and ethnicities. With poorer sleep linked to worse COPD outcomes, the current study may help explain why Black Americans as a group tend to do worse when they have COPD, compared with other racial and ethnic groups, the researchers suggested.

The study was supported by the National Institutes of Health and the COPD Foundation. SPIROMICS was supported by NIH and the COPD Foundation as well as numerous pharmaceutical and biotechnology companies. The authors reported no other financial disclosures.

Poor sleep quality was linked to an increased risk of life-threatening exacerbations in people with chronic obstructive pulmonary disease (COPD), according to a study reported online in the journal Sleep.

Researchers followed 1,647 patients with confirmed COPD who were enrolled in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS). SPIROMICS is a multicenter study funded by the National Heart, Lung, and Blood Institute and the COPD Foundation and is designed to evaluate COPD subpopulations, outcomes, and biomarkers. All participants in the study were current or former smokers with confirmed COPD.

COPD exacerbations over a 3-year follow-up period were compared against reported sleep quality. The researchers used the Pittsburgh Sleep Quality Index (PSQI), a combination of seven sleep measures, including sleep duration, timing of sleep, and frequency of disturbances. The higher the score, the worse the quality of sleep.

Individuals who self-reported having poor-quality sleep had a 25%-95% higher risk of COPD exacerbations, compared with those who reported good-quality sleep, according to the results.

There was a significant association between PSQI score and total and mean exacerbations in the unadjusted analysis (incidence rate ratios, 1.09; 95% confidence interval, 1.05-1.13) and the analysis adjusted for demographics, medical comorbidities, disease severity, medication usage, and socioeconomic environmental exposure (IRR, 1.08; 95% CI, 1.03-1.13).

In addition, the PSQI score was independently associated with an increased risk of hospitalization, with a 7% increase in risk of hospitalization with each 1-point increase in PSQI, according to the researchers.
 

Surprising findings

These findings suggest that sleep quality may be a better predictor of flare-ups than the patient’s history of smoking, according to the researchers.

“Among those who already have COPD, knowing how they sleep at night will tell me much more about their risk of a flare-up than knowing whether they smoked for 40 versus 60 years. … That is very surprising and is not necessarily what I expected going into this study. Smoking is such a central process to COPD that I would have predicted it would be the more important predictor in the case of exacerbations,” said lead study author Aaron Baugh, MD, a practicing pulmonologist, and a clinical fellow at the University of California, San Francisco, in a National Institutes of Health press release on the study.

The study findings were applicable to all races and ethnicities studied, however the results may be particularly relevant to Black Americans, Dr. Baugh indicated, because past studies have shown that Black Americans tend to have poorer sleep quality than other races and ethnicities. With poorer sleep linked to worse COPD outcomes, the current study may help explain why Black Americans as a group tend to do worse when they have COPD, compared with other racial and ethnic groups, the researchers suggested.

The study was supported by the National Institutes of Health and the COPD Foundation. SPIROMICS was supported by NIH and the COPD Foundation as well as numerous pharmaceutical and biotechnology companies. The authors reported no other financial disclosures.

Poor sleep quality was linked to an increased risk of life-threatening exacerbations in people with chronic obstructive pulmonary disease (COPD), according to a study reported online in the journal Sleep.

Researchers followed 1,647 patients with confirmed COPD who were enrolled in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS). SPIROMICS is a multicenter study funded by the National Heart, Lung, and Blood Institute and the COPD Foundation and is designed to evaluate COPD subpopulations, outcomes, and biomarkers. All participants in the study were current or former smokers with confirmed COPD.

COPD exacerbations over a 3-year follow-up period were compared against reported sleep quality. The researchers used the Pittsburgh Sleep Quality Index (PSQI), a combination of seven sleep measures, including sleep duration, timing of sleep, and frequency of disturbances. The higher the score, the worse the quality of sleep.

Individuals who self-reported having poor-quality sleep had a 25%-95% higher risk of COPD exacerbations, compared with those who reported good-quality sleep, according to the results.

There was a significant association between PSQI score and total and mean exacerbations in the unadjusted analysis (incidence rate ratios, 1.09; 95% confidence interval, 1.05-1.13) and the analysis adjusted for demographics, medical comorbidities, disease severity, medication usage, and socioeconomic environmental exposure (IRR, 1.08; 95% CI, 1.03-1.13).

In addition, the PSQI score was independently associated with an increased risk of hospitalization, with a 7% increase in risk of hospitalization with each 1-point increase in PSQI, according to the researchers.
 

Surprising findings

These findings suggest that sleep quality may be a better predictor of flare-ups than the patient’s history of smoking, according to the researchers.

“Among those who already have COPD, knowing how they sleep at night will tell me much more about their risk of a flare-up than knowing whether they smoked for 40 versus 60 years. … That is very surprising and is not necessarily what I expected going into this study. Smoking is such a central process to COPD that I would have predicted it would be the more important predictor in the case of exacerbations,” said lead study author Aaron Baugh, MD, a practicing pulmonologist, and a clinical fellow at the University of California, San Francisco, in a National Institutes of Health press release on the study.

The study findings were applicable to all races and ethnicities studied, however the results may be particularly relevant to Black Americans, Dr. Baugh indicated, because past studies have shown that Black Americans tend to have poorer sleep quality than other races and ethnicities. With poorer sleep linked to worse COPD outcomes, the current study may help explain why Black Americans as a group tend to do worse when they have COPD, compared with other racial and ethnic groups, the researchers suggested.

The study was supported by the National Institutes of Health and the COPD Foundation. SPIROMICS was supported by NIH and the COPD Foundation as well as numerous pharmaceutical and biotechnology companies. The authors reported no other financial disclosures.

For many years, COPD has remained one of the top four leading causes of death in the United States according to CDC data. Around the world, it is responsible for about 3 million deaths annually. It is estimated that 16 million Americans are now diagnosed with COPD. However, it is commonly agreed by experts that it is widely underdiagnosed and there may be millions more suffering from this disease.

The direct costs of COPD are around $49 billion a year in direct costs, with billions more in indirect costs. Around the globe, COPD is one of the top three causes of death, with 90% of deaths happening in low- and middle-income countries. The burden of COPD is expected to grow over time because of the aging population and continued exposure to COPD risk factors.

The Global Initiative for Chronic Obstructive Lung Disease report (or GOLD) is revised every year, translated into many languages, and used by health care workers globally. It was started in 1998, and its aim was to produce guidelines based on the best scientific evidence available that was nonbiased to be used for assessment, diagnosis, and treatment of patients with COPD. The first report was issued in 2001. The method of producing the GOLD report was to do a search of PubMed for evidence-based, peer-reviewed studies. Those not captured by this method could be submitted for review. The science committee then meets twice a year and reviews each publication, eventually agreeing on a set of guidelines/updates.
 

2022 GOLD Report

For the 2022 GOLD report, 160 new references were added. Overall, the GOLD report is five chapters (more than 150 pages) giving in-depth guidance for the diagnosis, prevention, management, and treatment of patients with stable COPD, COPD exacerbations, and hospitalized patients.

The report suggests that COPD is being underdiagnosed. It’s important for primary care doctors to understand the new guidelines, because they are the clinicians who are most likely to be diagnosing and treating patients with COPD.

Family physicians and internists will be seeing more and more cases as the population ages, and we need to do a better job of recognizing patients who have COPD. If possible, we should try to have spirometry available in our practices. Like any other disease, we know prevention works best so primary care physicians also need to be looking for risk factors, such as smoking history, and help patients try to reduce them if possible. Below is more explanation of the latest guidelines.

For most of us, when we learned about COPD as a disease, the terms “chronic bronchitis” and “emphysema” were emphasized. These words are no longer used as synonymous for COPD.

The disease is now described as involving chronic limitation in airflow that results from a combination of small airway disease and parenchymal destruction (emphysema). The rates of each vary from person to person and progress at different rates. Key factors that contribute to COPD disease burden include chronic inflammation, narrowing of small airways, loss of alveolar attachments, loss of elastic recoil, and mucociliary dysfunction, according to the 2022 GOLD report.

Respiratory symptoms may precede the onset of airflow limitation. COPD should be considered in any patient with dyspnea, chronic cough or sputum production, a history of recurrent lower respiratory tract infections, and risk factors for the disease.

The biggest risk factor for COPD is smoking. Other risk factors include occupational exposure, e-cigarette use, pollution, genetic factors, and comorbid conditions. Symptoms of the disease can include chest tightness, wheezing, and fatigue.

To make a diagnosis of COPD, spirometry is required, the latest GOLD report says. A postbronchodilator FEV₁/FVC less than 0.70 confirms persistent airflow limitation and hence COPD. This value is used in clinical trials and forms the basis of what most treatment guidelines are derived from. It would be beneficial for any physician treating COPD patients to have easy access to spirometry. It provides the most reproducible and objective measurement of airflow limitation. Also, it was found that assessing the degree of reversibility of airflow limitation to decide therapeutic decisions is no longer recommended and thus, asking the patient to stop inhaled medications beforehand is unnecessary. To access the impact COPD has on a patient’s life beyond dyspnea, the guidelines recommend doing a disease-specific health questionnaire, such as the COPD Assessment Test (CAT).

Along with patient symptoms and history of exacerbations, spirometry is crucial for the diagnosis, prognosis, and therapeutic decisions in COPD patients, according to the GOLD guidance. The best predictor of frequent exacerbations, however, is a history of previous exacerbations. In cases where there is a discrepancy between airflow limitation and symptoms, additional testing should be considered. Alpha-1 antitrypsin deficiency (AATD) screening should be considered in younger patients (under 45 years) with perilobular emphysema, and those in areas of high AATD prevalence. Chest x-rays are not recommended in diagnosing COPD but can be helpful if other comorbidities are present. CT scan is not routinely recommended but should be used only for the detection of bronchiectasis, if the patient meets the criteria for lung cancer screening, if surgery is necessary, or if other diseases may need to be evaluated.

Pulse oximetry can be helpful in accessing degree of severity, respiratory failure, and right heart failure. Walking tests can be helpful for evaluating disability and mortality risk. Other tests that have been used but are not routinely recommended include plethysmography and diffusing capacity of the lungs for carbon monoxide.

Composite scores can identify patients who are at increased risk of mortality. One such score is the BODE (Body mass, Obstruction, Dyspnea, and Exercise) method. Biomarkers are being investigated, but data are still not available to recommend their routine use.
 

Dr. Girgis practices family medicine in South River, N.J., and is a clinical assistant professor of family medicine at Robert Wood Johnson Medical School, New Brunswick, N.J. You can contact her at [email protected].

For many years, COPD has remained one of the top four leading causes of death in the United States according to CDC data. Around the world, it is responsible for about 3 million deaths annually. It is estimated that 16 million Americans are now diagnosed with COPD. However, it is commonly agreed by experts that it is widely underdiagnosed and there may be millions more suffering from this disease.

The direct costs of COPD are around $49 billion a year in direct costs, with billions more in indirect costs. Around the globe, COPD is one of the top three causes of death, with 90% of deaths happening in low- and middle-income countries. The burden of COPD is expected to grow over time because of the aging population and continued exposure to COPD risk factors.

The Global Initiative for Chronic Obstructive Lung Disease report (or GOLD) is revised every year, translated into many languages, and used by health care workers globally. It was started in 1998, and its aim was to produce guidelines based on the best scientific evidence available that was nonbiased to be used for assessment, diagnosis, and treatment of patients with COPD. The first report was issued in 2001. The method of producing the GOLD report was to do a search of PubMed for evidence-based, peer-reviewed studies. Those not captured by this method could be submitted for review. The science committee then meets twice a year and reviews each publication, eventually agreeing on a set of guidelines/updates.
 

2022 GOLD Report

For the 2022 GOLD report, 160 new references were added. Overall, the GOLD report is five chapters (more than 150 pages) giving in-depth guidance for the diagnosis, prevention, management, and treatment of patients with stable COPD, COPD exacerbations, and hospitalized patients.

The report suggests that COPD is being underdiagnosed. It’s important for primary care doctors to understand the new guidelines, because they are the clinicians who are most likely to be diagnosing and treating patients with COPD.

Family physicians and internists will be seeing more and more cases as the population ages, and we need to do a better job of recognizing patients who have COPD. If possible, we should try to have spirometry available in our practices. Like any other disease, we know prevention works best so primary care physicians also need to be looking for risk factors, such as smoking history, and help patients try to reduce them if possible. Below is more explanation of the latest guidelines.

For most of us, when we learned about COPD as a disease, the terms “chronic bronchitis” and “emphysema” were emphasized. These words are no longer used as synonymous for COPD.

The disease is now described as involving chronic limitation in airflow that results from a combination of small airway disease and parenchymal destruction (emphysema). The rates of each vary from person to person and progress at different rates. Key factors that contribute to COPD disease burden include chronic inflammation, narrowing of small airways, loss of alveolar attachments, loss of elastic recoil, and mucociliary dysfunction, according to the 2022 GOLD report.

Respiratory symptoms may precede the onset of airflow limitation. COPD should be considered in any patient with dyspnea, chronic cough or sputum production, a history of recurrent lower respiratory tract infections, and risk factors for the disease.

The biggest risk factor for COPD is smoking. Other risk factors include occupational exposure, e-cigarette use, pollution, genetic factors, and comorbid conditions. Symptoms of the disease can include chest tightness, wheezing, and fatigue.

To make a diagnosis of COPD, spirometry is required, the latest GOLD report says. A postbronchodilator FEV₁/FVC less than 0.70 confirms persistent airflow limitation and hence COPD. This value is used in clinical trials and forms the basis of what most treatment guidelines are derived from. It would be beneficial for any physician treating COPD patients to have easy access to spirometry. It provides the most reproducible and objective measurement of airflow limitation. Also, it was found that assessing the degree of reversibility of airflow limitation to decide therapeutic decisions is no longer recommended and thus, asking the patient to stop inhaled medications beforehand is unnecessary. To access the impact COPD has on a patient’s life beyond dyspnea, the guidelines recommend doing a disease-specific health questionnaire, such as the COPD Assessment Test (CAT).

Along with patient symptoms and history of exacerbations, spirometry is crucial for the diagnosis, prognosis, and therapeutic decisions in COPD patients, according to the GOLD guidance. The best predictor of frequent exacerbations, however, is a history of previous exacerbations. In cases where there is a discrepancy between airflow limitation and symptoms, additional testing should be considered. Alpha-1 antitrypsin deficiency (AATD) screening should be considered in younger patients (under 45 years) with perilobular emphysema, and those in areas of high AATD prevalence. Chest x-rays are not recommended in diagnosing COPD but can be helpful if other comorbidities are present. CT scan is not routinely recommended but should be used only for the detection of bronchiectasis, if the patient meets the criteria for lung cancer screening, if surgery is necessary, or if other diseases may need to be evaluated.

Pulse oximetry can be helpful in accessing degree of severity, respiratory failure, and right heart failure. Walking tests can be helpful for evaluating disability and mortality risk. Other tests that have been used but are not routinely recommended include plethysmography and diffusing capacity of the lungs for carbon monoxide.

Composite scores can identify patients who are at increased risk of mortality. One such score is the BODE (Body mass, Obstruction, Dyspnea, and Exercise) method. Biomarkers are being investigated, but data are still not available to recommend their routine use.
 

Dr. Girgis practices family medicine in South River, N.J., and is a clinical assistant professor of family medicine at Robert Wood Johnson Medical School, New Brunswick, N.J. You can contact her at [email protected].

For many years, COPD has remained one of the top four leading causes of death in the United States according to CDC data. Around the world, it is responsible for about 3 million deaths annually. It is estimated that 16 million Americans are now diagnosed with COPD. However, it is commonly agreed by experts that it is widely underdiagnosed and there may be millions more suffering from this disease.

The direct costs of COPD are around $49 billion a year in direct costs, with billions more in indirect costs. Around the globe, COPD is one of the top three causes of death, with 90% of deaths happening in low- and middle-income countries. The burden of COPD is expected to grow over time because of the aging population and continued exposure to COPD risk factors.

The Global Initiative for Chronic Obstructive Lung Disease report (or GOLD) is revised every year, translated into many languages, and used by health care workers globally. It was started in 1998, and its aim was to produce guidelines based on the best scientific evidence available that was nonbiased to be used for assessment, diagnosis, and treatment of patients with COPD. The first report was issued in 2001. The method of producing the GOLD report was to do a search of PubMed for evidence-based, peer-reviewed studies. Those not captured by this method could be submitted for review. The science committee then meets twice a year and reviews each publication, eventually agreeing on a set of guidelines/updates.
 

2022 GOLD Report

For the 2022 GOLD report, 160 new references were added. Overall, the GOLD report is five chapters (more than 150 pages) giving in-depth guidance for the diagnosis, prevention, management, and treatment of patients with stable COPD, COPD exacerbations, and hospitalized patients.

The report suggests that COPD is being underdiagnosed. It’s important for primary care doctors to understand the new guidelines, because they are the clinicians who are most likely to be diagnosing and treating patients with COPD.

Family physicians and internists will be seeing more and more cases as the population ages, and we need to do a better job of recognizing patients who have COPD. If possible, we should try to have spirometry available in our practices. Like any other disease, we know prevention works best so primary care physicians also need to be looking for risk factors, such as smoking history, and help patients try to reduce them if possible. Below is more explanation of the latest guidelines.

For most of us, when we learned about COPD as a disease, the terms “chronic bronchitis” and “emphysema” were emphasized. These words are no longer used as synonymous for COPD.

The disease is now described as involving chronic limitation in airflow that results from a combination of small airway disease and parenchymal destruction (emphysema). The rates of each vary from person to person and progress at different rates. Key factors that contribute to COPD disease burden include chronic inflammation, narrowing of small airways, loss of alveolar attachments, loss of elastic recoil, and mucociliary dysfunction, according to the 2022 GOLD report.

Respiratory symptoms may precede the onset of airflow limitation. COPD should be considered in any patient with dyspnea, chronic cough or sputum production, a history of recurrent lower respiratory tract infections, and risk factors for the disease.

The biggest risk factor for COPD is smoking. Other risk factors include occupational exposure, e-cigarette use, pollution, genetic factors, and comorbid conditions. Symptoms of the disease can include chest tightness, wheezing, and fatigue.

To make a diagnosis of COPD, spirometry is required, the latest GOLD report says. A postbronchodilator FEV₁/FVC less than 0.70 confirms persistent airflow limitation and hence COPD. This value is used in clinical trials and forms the basis of what most treatment guidelines are derived from. It would be beneficial for any physician treating COPD patients to have easy access to spirometry. It provides the most reproducible and objective measurement of airflow limitation. Also, it was found that assessing the degree of reversibility of airflow limitation to decide therapeutic decisions is no longer recommended and thus, asking the patient to stop inhaled medications beforehand is unnecessary. To access the impact COPD has on a patient’s life beyond dyspnea, the guidelines recommend doing a disease-specific health questionnaire, such as the COPD Assessment Test (CAT).

Along with patient symptoms and history of exacerbations, spirometry is crucial for the diagnosis, prognosis, and therapeutic decisions in COPD patients, according to the GOLD guidance. The best predictor of frequent exacerbations, however, is a history of previous exacerbations. In cases where there is a discrepancy between airflow limitation and symptoms, additional testing should be considered. Alpha-1 antitrypsin deficiency (AATD) screening should be considered in younger patients (under 45 years) with perilobular emphysema, and those in areas of high AATD prevalence. Chest x-rays are not recommended in diagnosing COPD but can be helpful if other comorbidities are present. CT scan is not routinely recommended but should be used only for the detection of bronchiectasis, if the patient meets the criteria for lung cancer screening, if surgery is necessary, or if other diseases may need to be evaluated.

Pulse oximetry can be helpful in accessing degree of severity, respiratory failure, and right heart failure. Walking tests can be helpful for evaluating disability and mortality risk. Other tests that have been used but are not routinely recommended include plethysmography and diffusing capacity of the lungs for carbon monoxide.

Composite scores can identify patients who are at increased risk of mortality. One such score is the BODE (Body mass, Obstruction, Dyspnea, and Exercise) method. Biomarkers are being investigated, but data are still not available to recommend their routine use.
 

Dr. Girgis practices family medicine in South River, N.J., and is a clinical assistant professor of family medicine at Robert Wood Johnson Medical School, New Brunswick, N.J. You can contact her at [email protected].

Our understanding of asthma endotypes and phenotypes has grown substantially in the last decade. Endotype-targeted therapy has become a foundation of management, and classification of patients during initial assessment is extremely important. The use of history, laboratory data, and pulmonary function testing together help to categorize our patients and help guide therapy. One lab test, that of sputum or blood eosinophils, facilitates categorization and has been evaluated for its ability to determine response to medications and predict exacerbations.

In particular, eosinophilia has been extensively studied in severe asthma and is associated with type 2 inflammation. The 2021 GINA guidelines describe type 2 inflammation as characterized by cytokines (especially IL-4, IL-5, and IL-13). “T2-high patients” tend to have elevated blood or sputum eosinophil counts and elevated fractional concentration of exhaled nitric oxide (FENO) and are more likely to respond to biologic therapy. (Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention, 2021).

Courtesy ACCP

However, what about patients with more mild-to-moderate asthma? Two recent studies have asked this question. In 2020, Pavord and colleagues performed a prespecified secondary subgroup analysis on an open-label randomized control trial comparing prn salbutamol alone to budesonide and as needed salbutamol to as needed budesonide-formoterol. The population was 675 adults with mild asthma receiving only as needed short acting beta-agonists (SABA) at baseline. The primary outcome was annual rate of asthma exacerbation, and whether it was different based on blood eosinophil count, FENO or a composite of both. They had several interesting findings. First, for patients only on an as needed SABA, the proportion having a severe exacerbation increased progressively with increasing blood eosinophil count. Second, inhaled corticosteroids (ICS) plus as needed SABA were more effective than SABA alone in patients with a blood eosinophil count of ≥300 cells/μL, both in terms of total exacerbations and severe exacerbations. The effects of budesonide-formoterol on exacerbations, however, was not associated with blood eosinophil count or FENO. This last point is particularly interesting in light of GINA guidelines that prioritize this combination (Pavord ID et al. Lancet Respir Med. 2020;8[7]:671-80).

Courtesy ACCP

More recently, a prespecified secondary analysis of the SIENA trial looked at 295 subjects with mild persistent asthma (237 adults aged 18+, and 58 adolescents aged 12-17). The primary outcome was a composite of asthma control (treatment failure, asthma control days, and FEV₁). They found that sputum eosinophil levels, blood eosinophil levels, and FENO all predicted response to ICS in adults; however, the area under the receiver operative characteristic curve (AUC) was less than 0.7 for each of these findings, which was below the threshold for acceptability. A blood eosinophil count of ≥100 cells/μL offered 87% sensitivity and 17% specificity for response to ICS (Krishnan JA et al. Ann Am Thorac Soc. 2022;19[3]:372-80).

What does this tell us? Blood eosinophil count may help determine who will respond to ICS, and there remains utility in assessing blood eosinophil count in severe asthma for determining candidacy for biologic therapies. However, the overall utility of blood eosinophils in mild to moderate asthma is not as clear.

But, are we asking the right questions? Many studies look at a single blood eosinophil level, either at a single point in time, a baseline level, or a highest level over a specific time period. But do eosinophil counts vary over time?

A 2018 single-center study initially asked this question. The authors evaluated blood eosinophil levels in 219 adult patients at the NYU/Bellevue Hospital Asthma Clinic over a 5-year period. They found that individual patients had variable eosinophil levels. For example, only 6% (n=13) of patients had levels consistently above 300 cells/μL, but nearly 50% (n=104) had at least one level above 300. The degree of variability was then assessed by K-mean clustering yielding three clusters. Cluster 2 had the largest variability in blood eosinophil counts and a slightly higher absolute eosinophil level. While not significant, there was a suggestion of worse asthma control with more hospitalizations and more prescriptions for multiple controllers in this cluster with more variability. Clearly, this warranted further study (Rakowski E et al. Clin Exp Allergy. 2019;49[2]:163-70).

Variability was re-examined more recently in 2021. A post hoc analysis of two phase III clinical trials from the reslizumab BREATH program looked at eosinophil counts in the 476 patients randomized to receive placebo during the 52-week study. These patients did have eosinophilic asthma by definition and had to have an elevated eosinophil count >400 cells/μL over the 4-week enrollment period to enter the study. However, 124 patients (26.1%) had an eosinophil level <400 cells/μL immediately before the first dose of placebo. The primary outcome was variability in blood eosinophil count. Of patients who started with serum eosinophils <400, 27% to 56% of patients shifted to the ≥400 cells/μL category during the treatment period (this wide range is across three categories of low “baseline” blood eosinophil count; <150, 150 to 300, and 300 to 400). On the contrary, patients who started with eosinophils ≥400 cells/μL tended to stay at that level. The variability is reduced by taking two to three repeat measurements at baseline (Corren et al. J Allergy Clin Immunol Pract. 2021;9[3]:1224-31).

Does this variability have clinical significance? A recent retrospective cohort study looked at 10,059 stable adult patients with asthma from the MAJORICA cohort in Spain, compared with 8,557 control subjects. The primary outcome was total blood eosinophil count and an “eosinophil variability index” (EVI) where EVI=(Eosmax – Eosmin / Eosmax) x 100%. They found that an elevated EVI was associated with hospitalization, more so than maximum eosinophil count or any other eosinophil count variable, with an odds ratio of 3.18 by univariate regression (2.51 by multivariate). They also found that patients with an EVI ≥50% were twice as likely to be hospitalized or visit the ED than those with a lower EVI (Toledo-Pons N et al. Ann Am Thorac Soc. 2022;19[3]:407-14). These results are very interesting and merit further research.

So, what to do with this information? We know that patients with peripheral eosinophilia and severe asthma symptoms are candidates for biologic therapy. They are also more likely to respond to steroids, although the utility of this assessment alone in mild to moderate asthma is less clear. It does seem that more variability in eosinophils over time may be linked to more difficult-to-treat asthma.

Should you check eosinophils in your patients with asthma? GINA 2021 guidelines say to consider it, and list blood eosinophilia as a risk factor for future exacerbation, even if patients have few asthma symptoms. They also say to repeat blood eosinophils in patients with severe asthma, if the level is low at first assessment, based on the studies discussed above. We would agree. We also see the blood eosinophil count as one part of a clinical assessment of a patient’s overall asthma control – even if the patient has mild symptoms. More study on variability is welcome.

Dr. Haber and Dr. Jamieson are with Medstar Georgetown University Hospital, Washington, D.C.

Our understanding of asthma endotypes and phenotypes has grown substantially in the last decade. Endotype-targeted therapy has become a foundation of management, and classification of patients during initial assessment is extremely important. The use of history, laboratory data, and pulmonary function testing together help to categorize our patients and help guide therapy. One lab test, that of sputum or blood eosinophils, facilitates categorization and has been evaluated for its ability to determine response to medications and predict exacerbations.

In particular, eosinophilia has been extensively studied in severe asthma and is associated with type 2 inflammation. The 2021 GINA guidelines describe type 2 inflammation as characterized by cytokines (especially IL-4, IL-5, and IL-13). “T2-high patients” tend to have elevated blood or sputum eosinophil counts and elevated fractional concentration of exhaled nitric oxide (FENO) and are more likely to respond to biologic therapy. (Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention, 2021).

Courtesy ACCP

However, what about patients with more mild-to-moderate asthma? Two recent studies have asked this question. In 2020, Pavord and colleagues performed a prespecified secondary subgroup analysis on an open-label randomized control trial comparing prn salbutamol alone to budesonide and as needed salbutamol to as needed budesonide-formoterol. The population was 675 adults with mild asthma receiving only as needed short acting beta-agonists (SABA) at baseline. The primary outcome was annual rate of asthma exacerbation, and whether it was different based on blood eosinophil count, FENO or a composite of both. They had several interesting findings. First, for patients only on an as needed SABA, the proportion having a severe exacerbation increased progressively with increasing blood eosinophil count. Second, inhaled corticosteroids (ICS) plus as needed SABA were more effective than SABA alone in patients with a blood eosinophil count of ≥300 cells/μL, both in terms of total exacerbations and severe exacerbations. The effects of budesonide-formoterol on exacerbations, however, was not associated with blood eosinophil count or FENO. This last point is particularly interesting in light of GINA guidelines that prioritize this combination (Pavord ID et al. Lancet Respir Med. 2020;8[7]:671-80).

Courtesy ACCP

More recently, a prespecified secondary analysis of the SIENA trial looked at 295 subjects with mild persistent asthma (237 adults aged 18+, and 58 adolescents aged 12-17). The primary outcome was a composite of asthma control (treatment failure, asthma control days, and FEV₁). They found that sputum eosinophil levels, blood eosinophil levels, and FENO all predicted response to ICS in adults; however, the area under the receiver operative characteristic curve (AUC) was less than 0.7 for each of these findings, which was below the threshold for acceptability. A blood eosinophil count of ≥100 cells/μL offered 87% sensitivity and 17% specificity for response to ICS (Krishnan JA et al. Ann Am Thorac Soc. 2022;19[3]:372-80).

What does this tell us? Blood eosinophil count may help determine who will respond to ICS, and there remains utility in assessing blood eosinophil count in severe asthma for determining candidacy for biologic therapies. However, the overall utility of blood eosinophils in mild to moderate asthma is not as clear.

But, are we asking the right questions? Many studies look at a single blood eosinophil level, either at a single point in time, a baseline level, or a highest level over a specific time period. But do eosinophil counts vary over time?

A 2018 single-center study initially asked this question. The authors evaluated blood eosinophil levels in 219 adult patients at the NYU/Bellevue Hospital Asthma Clinic over a 5-year period. They found that individual patients had variable eosinophil levels. For example, only 6% (n=13) of patients had levels consistently above 300 cells/μL, but nearly 50% (n=104) had at least one level above 300. The degree of variability was then assessed by K-mean clustering yielding three clusters. Cluster 2 had the largest variability in blood eosinophil counts and a slightly higher absolute eosinophil level. While not significant, there was a suggestion of worse asthma control with more hospitalizations and more prescriptions for multiple controllers in this cluster with more variability. Clearly, this warranted further study (Rakowski E et al. Clin Exp Allergy. 2019;49[2]:163-70).

Variability was re-examined more recently in 2021. A post hoc analysis of two phase III clinical trials from the reslizumab BREATH program looked at eosinophil counts in the 476 patients randomized to receive placebo during the 52-week study. These patients did have eosinophilic asthma by definition and had to have an elevated eosinophil count >400 cells/μL over the 4-week enrollment period to enter the study. However, 124 patients (26.1%) had an eosinophil level <400 cells/μL immediately before the first dose of placebo. The primary outcome was variability in blood eosinophil count. Of patients who started with serum eosinophils <400, 27% to 56% of patients shifted to the ≥400 cells/μL category during the treatment period (this wide range is across three categories of low “baseline” blood eosinophil count; <150, 150 to 300, and 300 to 400). On the contrary, patients who started with eosinophils ≥400 cells/μL tended to stay at that level. The variability is reduced by taking two to three repeat measurements at baseline (Corren et al. J Allergy Clin Immunol Pract. 2021;9[3]:1224-31).

Does this variability have clinical significance? A recent retrospective cohort study looked at 10,059 stable adult patients with asthma from the MAJORICA cohort in Spain, compared with 8,557 control subjects. The primary outcome was total blood eosinophil count and an “eosinophil variability index” (EVI) where EVI=(Eosmax – Eosmin / Eosmax) x 100%. They found that an elevated EVI was associated with hospitalization, more so than maximum eosinophil count or any other eosinophil count variable, with an odds ratio of 3.18 by univariate regression (2.51 by multivariate). They also found that patients with an EVI ≥50% were twice as likely to be hospitalized or visit the ED than those with a lower EVI (Toledo-Pons N et al. Ann Am Thorac Soc. 2022;19[3]:407-14). These results are very interesting and merit further research.

So, what to do with this information? We know that patients with peripheral eosinophilia and severe asthma symptoms are candidates for biologic therapy. They are also more likely to respond to steroids, although the utility of this assessment alone in mild to moderate asthma is less clear. It does seem that more variability in eosinophils over time may be linked to more difficult-to-treat asthma.

Should you check eosinophils in your patients with asthma? GINA 2021 guidelines say to consider it, and list blood eosinophilia as a risk factor for future exacerbation, even if patients have few asthma symptoms. They also say to repeat blood eosinophils in patients with severe asthma, if the level is low at first assessment, based on the studies discussed above. We would agree. We also see the blood eosinophil count as one part of a clinical assessment of a patient’s overall asthma control – even if the patient has mild symptoms. More study on variability is welcome.

Dr. Haber and Dr. Jamieson are with Medstar Georgetown University Hospital, Washington, D.C.

Our understanding of asthma endotypes and phenotypes has grown substantially in the last decade. Endotype-targeted therapy has become a foundation of management, and classification of patients during initial assessment is extremely important. The use of history, laboratory data, and pulmonary function testing together help to categorize our patients and help guide therapy. One lab test, that of sputum or blood eosinophils, facilitates categorization and has been evaluated for its ability to determine response to medications and predict exacerbations.

In particular, eosinophilia has been extensively studied in severe asthma and is associated with type 2 inflammation. The 2021 GINA guidelines describe type 2 inflammation as characterized by cytokines (especially IL-4, IL-5, and IL-13). “T2-high patients” tend to have elevated blood or sputum eosinophil counts and elevated fractional concentration of exhaled nitric oxide (FENO) and are more likely to respond to biologic therapy. (Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention, 2021).

Courtesy ACCP

However, what about patients with more mild-to-moderate asthma? Two recent studies have asked this question. In 2020, Pavord and colleagues performed a prespecified secondary subgroup analysis on an open-label randomized control trial comparing prn salbutamol alone to budesonide and as needed salbutamol to as needed budesonide-formoterol. The population was 675 adults with mild asthma receiving only as needed short acting beta-agonists (SABA) at baseline. The primary outcome was annual rate of asthma exacerbation, and whether it was different based on blood eosinophil count, FENO or a composite of both. They had several interesting findings. First, for patients only on an as needed SABA, the proportion having a severe exacerbation increased progressively with increasing blood eosinophil count. Second, inhaled corticosteroids (ICS) plus as needed SABA were more effective than SABA alone in patients with a blood eosinophil count of ≥300 cells/μL, both in terms of total exacerbations and severe exacerbations. The effects of budesonide-formoterol on exacerbations, however, was not associated with blood eosinophil count or FENO. This last point is particularly interesting in light of GINA guidelines that prioritize this combination (Pavord ID et al. Lancet Respir Med. 2020;8[7]:671-80).

Courtesy ACCP

More recently, a prespecified secondary analysis of the SIENA trial looked at 295 subjects with mild persistent asthma (237 adults aged 18+, and 58 adolescents aged 12-17). The primary outcome was a composite of asthma control (treatment failure, asthma control days, and FEV₁). They found that sputum eosinophil levels, blood eosinophil levels, and FENO all predicted response to ICS in adults; however, the area under the receiver operative characteristic curve (AUC) was less than 0.7 for each of these findings, which was below the threshold for acceptability. A blood eosinophil count of ≥100 cells/μL offered 87% sensitivity and 17% specificity for response to ICS (Krishnan JA et al. Ann Am Thorac Soc. 2022;19[3]:372-80).

What does this tell us? Blood eosinophil count may help determine who will respond to ICS, and there remains utility in assessing blood eosinophil count in severe asthma for determining candidacy for biologic therapies. However, the overall utility of blood eosinophils in mild to moderate asthma is not as clear.

But, are we asking the right questions? Many studies look at a single blood eosinophil level, either at a single point in time, a baseline level, or a highest level over a specific time period. But do eosinophil counts vary over time?

A 2018 single-center study initially asked this question. The authors evaluated blood eosinophil levels in 219 adult patients at the NYU/Bellevue Hospital Asthma Clinic over a 5-year period. They found that individual patients had variable eosinophil levels. For example, only 6% (n=13) of patients had levels consistently above 300 cells/μL, but nearly 50% (n=104) had at least one level above 300. The degree of variability was then assessed by K-mean clustering yielding three clusters. Cluster 2 had the largest variability in blood eosinophil counts and a slightly higher absolute eosinophil level. While not significant, there was a suggestion of worse asthma control with more hospitalizations and more prescriptions for multiple controllers in this cluster with more variability. Clearly, this warranted further study (Rakowski E et al. Clin Exp Allergy. 2019;49[2]:163-70).

Variability was re-examined more recently in 2021. A post hoc analysis of two phase III clinical trials from the reslizumab BREATH program looked at eosinophil counts in the 476 patients randomized to receive placebo during the 52-week study. These patients did have eosinophilic asthma by definition and had to have an elevated eosinophil count >400 cells/μL over the 4-week enrollment period to enter the study. However, 124 patients (26.1%) had an eosinophil level <400 cells/μL immediately before the first dose of placebo. The primary outcome was variability in blood eosinophil count. Of patients who started with serum eosinophils <400, 27% to 56% of patients shifted to the ≥400 cells/μL category during the treatment period (this wide range is across three categories of low “baseline” blood eosinophil count; <150, 150 to 300, and 300 to 400). On the contrary, patients who started with eosinophils ≥400 cells/μL tended to stay at that level. The variability is reduced by taking two to three repeat measurements at baseline (Corren et al. J Allergy Clin Immunol Pract. 2021;9[3]:1224-31).

Does this variability have clinical significance? A recent retrospective cohort study looked at 10,059 stable adult patients with asthma from the MAJORICA cohort in Spain, compared with 8,557 control subjects. The primary outcome was total blood eosinophil count and an “eosinophil variability index” (EVI) where EVI=(Eosmax – Eosmin / Eosmax) x 100%. They found that an elevated EVI was associated with hospitalization, more so than maximum eosinophil count or any other eosinophil count variable, with an odds ratio of 3.18 by univariate regression (2.51 by multivariate). They also found that patients with an EVI ≥50% were twice as likely to be hospitalized or visit the ED than those with a lower EVI (Toledo-Pons N et al. Ann Am Thorac Soc. 2022;19[3]:407-14). These results are very interesting and merit further research.

So, what to do with this information? We know that patients with peripheral eosinophilia and severe asthma symptoms are candidates for biologic therapy. They are also more likely to respond to steroids, although the utility of this assessment alone in mild to moderate asthma is less clear. It does seem that more variability in eosinophils over time may be linked to more difficult-to-treat asthma.

Should you check eosinophils in your patients with asthma? GINA 2021 guidelines say to consider it, and list blood eosinophilia as a risk factor for future exacerbation, even if patients have few asthma symptoms. They also say to repeat blood eosinophils in patients with severe asthma, if the level is low at first assessment, based on the studies discussed above. We would agree. We also see the blood eosinophil count as one part of a clinical assessment of a patient’s overall asthma control – even if the patient has mild symptoms. More study on variability is welcome.

Dr. Haber and Dr. Jamieson are with Medstar Georgetown University Hospital, Washington, D.C.

The 1-year results of the Harmony transcatheter pulmonary valve to treat severe pulmonary regurgitation have shown a high rate of eliminating or reducing the degree of symptoms as well as freedom from endocarditis, sustained ventricular tachycardia, and the need for further interventions.

“Simply put, the good news is no endocarditis,” said Daniel S. Levi, MD, in presenting results from three different studies with 108 patients who received three different iterations of the device at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

courtesy University of California, Los Angeles

“Endocarditis has been an issue for us in the pulmonary position; we have yet to have an endocarditis in these patients in 1 year,” he stressed.

The studies evaluated three different versions of the Harmony valve: TPV22 (42 patients), the first version with a 22-mm diameter; the Clinical TPV25 (17 patients), the first iteration of a 25 mm–wide device that has since been discontinued; and the modified TPV25 (45 patients), the second version of the 25-mm valve. The three studies are the early feasibility study of the TPV22, the continued-access study of the TPV22 and the mTPV25, and the pivotal study that included all three versions.

At baseline, 89% of patients had severe and 11% had moderate pulmonary regurgitation (PR). At 1 year, 92% had none or trace PR, 3% had mild PR, and 4% moderate disease.  

Dr. Levi said the device “speaks for itself” in the results he presented. They include no deaths, no heart attacks, and no pulmonary thromboembolism. Other key outcomes include:

• One major stent fracture in one of the early feasibility study patients at 1-month follow-up.
• Four explants, with two in the discontinued cTPV25 and two with the TPV22 in the early-feasibility study.
• Four reinterventions, two with the discontinued cTPV25 and two valve-in-valve procedures with the mTPV25 in the continued-access study, one with stent placement in the right ventricular outflow tract.

Dr. Levi and coinvestigators also performed a breakdown of 1-year outcomes – freedom from PR, stenosis, and interventions – by device: 95.1% for TPV22; 89.7% for mTPV25; and 73.3% for the discontinued cTPV25.

Although the valve is indicated for adolescents and adults, most of the patients in the three studies were adults, with an average weight of 165 pounds (75 kg) who have had PR for decades, said Dr. Levi, an interventional pediatric cardiologist at the University of California, Los Angeles. “With a device like this we are hopefully shifting to treating that a little bit earlier, but fortunately we don’t usually need to treat it before puberty.” The 25-mm TPV gives “a really nice landing zone” for future valve placement. “The goal is to keep patients out of the operating room for at least a few decades if not their whole lives,” he said.

Dr. Levi said the Harmony investigators will follow outcomes with the 22- and modified 25-mm Harmony valves, both of which remain commercially available, out to 10 years.

The study represents the first collective cohort evaluating the Harmony device across the early feasibility, continued access and pivotal studies, said Brian Morray, MD. “It’s important that people understand that evolution and how that impacts the way we look at outcomes, because when you aggregate the data, particularly for the TPV25, some of the procedural outcomes and the adverse events are no longer really reflective in the current time frame.”

These Harmony results “represent another big step in the evolution of interventional cardiology and will be up there with development of the Melody valve and the utility and the use of the Sapien valve in the pulmonary position,” said Dr. Morray, an associate professor of pediatrics at the University of Washington, Seattle, and an interventional cardiologist at Seattle Children’s Hospital.

Dr. Levi disclosed he is a consultant to Medtronic and Edwards Lifesciences. Dr. Morray disclosed he is a clinical proctor for Abbott and a consultant to Medtronic, but not for the Harmony device.
 

The 1-year results of the Harmony transcatheter pulmonary valve to treat severe pulmonary regurgitation have shown a high rate of eliminating or reducing the degree of symptoms as well as freedom from endocarditis, sustained ventricular tachycardia, and the need for further interventions.

“Simply put, the good news is no endocarditis,” said Daniel S. Levi, MD, in presenting results from three different studies with 108 patients who received three different iterations of the device at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

courtesy University of California, Los Angeles

“Endocarditis has been an issue for us in the pulmonary position; we have yet to have an endocarditis in these patients in 1 year,” he stressed.

The studies evaluated three different versions of the Harmony valve: TPV22 (42 patients), the first version with a 22-mm diameter; the Clinical TPV25 (17 patients), the first iteration of a 25 mm–wide device that has since been discontinued; and the modified TPV25 (45 patients), the second version of the 25-mm valve. The three studies are the early feasibility study of the TPV22, the continued-access study of the TPV22 and the mTPV25, and the pivotal study that included all three versions.

At baseline, 89% of patients had severe and 11% had moderate pulmonary regurgitation (PR). At 1 year, 92% had none or trace PR, 3% had mild PR, and 4% moderate disease.  

Dr. Levi said the device “speaks for itself” in the results he presented. They include no deaths, no heart attacks, and no pulmonary thromboembolism. Other key outcomes include:

• One major stent fracture in one of the early feasibility study patients at 1-month follow-up.
• Four explants, with two in the discontinued cTPV25 and two with the TPV22 in the early-feasibility study.
• Four reinterventions, two with the discontinued cTPV25 and two valve-in-valve procedures with the mTPV25 in the continued-access study, one with stent placement in the right ventricular outflow tract.

Dr. Levi and coinvestigators also performed a breakdown of 1-year outcomes – freedom from PR, stenosis, and interventions – by device: 95.1% for TPV22; 89.7% for mTPV25; and 73.3% for the discontinued cTPV25.

Although the valve is indicated for adolescents and adults, most of the patients in the three studies were adults, with an average weight of 165 pounds (75 kg) who have had PR for decades, said Dr. Levi, an interventional pediatric cardiologist at the University of California, Los Angeles. “With a device like this we are hopefully shifting to treating that a little bit earlier, but fortunately we don’t usually need to treat it before puberty.” The 25-mm TPV gives “a really nice landing zone” for future valve placement. “The goal is to keep patients out of the operating room for at least a few decades if not their whole lives,” he said.

Dr. Levi said the Harmony investigators will follow outcomes with the 22- and modified 25-mm Harmony valves, both of which remain commercially available, out to 10 years.

The study represents the first collective cohort evaluating the Harmony device across the early feasibility, continued access and pivotal studies, said Brian Morray, MD. “It’s important that people understand that evolution and how that impacts the way we look at outcomes, because when you aggregate the data, particularly for the TPV25, some of the procedural outcomes and the adverse events are no longer really reflective in the current time frame.”

These Harmony results “represent another big step in the evolution of interventional cardiology and will be up there with development of the Melody valve and the utility and the use of the Sapien valve in the pulmonary position,” said Dr. Morray, an associate professor of pediatrics at the University of Washington, Seattle, and an interventional cardiologist at Seattle Children’s Hospital.

Dr. Levi disclosed he is a consultant to Medtronic and Edwards Lifesciences. Dr. Morray disclosed he is a clinical proctor for Abbott and a consultant to Medtronic, but not for the Harmony device.
 

The 1-year results of the Harmony transcatheter pulmonary valve to treat severe pulmonary regurgitation have shown a high rate of eliminating or reducing the degree of symptoms as well as freedom from endocarditis, sustained ventricular tachycardia, and the need for further interventions.

“Simply put, the good news is no endocarditis,” said Daniel S. Levi, MD, in presenting results from three different studies with 108 patients who received three different iterations of the device at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

courtesy University of California, Los Angeles

“Endocarditis has been an issue for us in the pulmonary position; we have yet to have an endocarditis in these patients in 1 year,” he stressed.

The studies evaluated three different versions of the Harmony valve: TPV22 (42 patients), the first version with a 22-mm diameter; the Clinical TPV25 (17 patients), the first iteration of a 25 mm–wide device that has since been discontinued; and the modified TPV25 (45 patients), the second version of the 25-mm valve. The three studies are the early feasibility study of the TPV22, the continued-access study of the TPV22 and the mTPV25, and the pivotal study that included all three versions.

At baseline, 89% of patients had severe and 11% had moderate pulmonary regurgitation (PR). At 1 year, 92% had none or trace PR, 3% had mild PR, and 4% moderate disease.  

Dr. Levi said the device “speaks for itself” in the results he presented. They include no deaths, no heart attacks, and no pulmonary thromboembolism. Other key outcomes include:

• One major stent fracture in one of the early feasibility study patients at 1-month follow-up.
• Four explants, with two in the discontinued cTPV25 and two with the TPV22 in the early-feasibility study.
• Four reinterventions, two with the discontinued cTPV25 and two valve-in-valve procedures with the mTPV25 in the continued-access study, one with stent placement in the right ventricular outflow tract.

Dr. Levi and coinvestigators also performed a breakdown of 1-year outcomes – freedom from PR, stenosis, and interventions – by device: 95.1% for TPV22; 89.7% for mTPV25; and 73.3% for the discontinued cTPV25.

Although the valve is indicated for adolescents and adults, most of the patients in the three studies were adults, with an average weight of 165 pounds (75 kg) who have had PR for decades, said Dr. Levi, an interventional pediatric cardiologist at the University of California, Los Angeles. “With a device like this we are hopefully shifting to treating that a little bit earlier, but fortunately we don’t usually need to treat it before puberty.” The 25-mm TPV gives “a really nice landing zone” for future valve placement. “The goal is to keep patients out of the operating room for at least a few decades if not their whole lives,” he said.

Dr. Levi said the Harmony investigators will follow outcomes with the 22- and modified 25-mm Harmony valves, both of which remain commercially available, out to 10 years.

The study represents the first collective cohort evaluating the Harmony device across the early feasibility, continued access and pivotal studies, said Brian Morray, MD. “It’s important that people understand that evolution and how that impacts the way we look at outcomes, because when you aggregate the data, particularly for the TPV25, some of the procedural outcomes and the adverse events are no longer really reflective in the current time frame.”

These Harmony results “represent another big step in the evolution of interventional cardiology and will be up there with development of the Melody valve and the utility and the use of the Sapien valve in the pulmonary position,” said Dr. Morray, an associate professor of pediatrics at the University of Washington, Seattle, and an interventional cardiologist at Seattle Children’s Hospital.

Dr. Levi disclosed he is a consultant to Medtronic and Edwards Lifesciences. Dr. Morray disclosed he is a clinical proctor for Abbott and a consultant to Medtronic, but not for the Harmony device.
 

The Food and Drug Administration published a warning from the medical device company Baxter International, citing problems with their device used for at-home respiratory therapy. The release cautions Volara system users that using certain therapies from the device may cause a change in lung pressure and a decrease in oxygen level. This cautionary warning was issued following a single reported case of oxygen loss while using the device.

The Volara system is meant to help patients with persistent pulmonary problems who are transitioning from the hospital to the outpatient setting. It can connect to three pieces commonly used in treating the respiratory conditions – a tracheostomy tube, a mask, and an in-line ventilator. The device offers three therapies – one to expand lungs (OLE), one to shake mucus from the lungs (CHFO), and a nebulizer to deliver medication.

This particular warning is relevant only to patients who use the system with an in-line ventilator or to patients who use OLE and CHFO therapies. The concern is that a rapid change in lung pressure (barotrauma), could damage the tissue by overextending the surface of the organ. Additionally, as noted in the reported case, Volara users may be at risk for a decrease in the level of oxygen while using the device (oxygen desaturation).

If patients have been directed to use Volara by a physician, the FDA recommends they continue to use it as prescribed. But they should look out for signs of respiratory distress. These include changes in alertness, the appearance of a blue tint around the mouth, increased breathing rate, and wheezing. If a patient or caregiver sees these signs, the patient should stop using Volara immediately and should seek help if their symptoms don’t improve.

In response to these precautions, Baxter says it will update the instructions for the use of its device and will add additional warnings. The company says it will dispatch a trainer to patients’ homes to help them understand the newest guidelines.

Both the FDA and Baxter urge patients who have experienced any problems with the device to report it to the hotlines listed at the bottom of their release.

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

The Food and Drug Administration published a warning from the medical device company Baxter International, citing problems with their device used for at-home respiratory therapy. The release cautions Volara system users that using certain therapies from the device may cause a change in lung pressure and a decrease in oxygen level. This cautionary warning was issued following a single reported case of oxygen loss while using the device.

The Volara system is meant to help patients with persistent pulmonary problems who are transitioning from the hospital to the outpatient setting. It can connect to three pieces commonly used in treating the respiratory conditions – a tracheostomy tube, a mask, and an in-line ventilator. The device offers three therapies – one to expand lungs (OLE), one to shake mucus from the lungs (CHFO), and a nebulizer to deliver medication.

This particular warning is relevant only to patients who use the system with an in-line ventilator or to patients who use OLE and CHFO therapies. The concern is that a rapid change in lung pressure (barotrauma), could damage the tissue by overextending the surface of the organ. Additionally, as noted in the reported case, Volara users may be at risk for a decrease in the level of oxygen while using the device (oxygen desaturation).

If patients have been directed to use Volara by a physician, the FDA recommends they continue to use it as prescribed. But they should look out for signs of respiratory distress. These include changes in alertness, the appearance of a blue tint around the mouth, increased breathing rate, and wheezing. If a patient or caregiver sees these signs, the patient should stop using Volara immediately and should seek help if their symptoms don’t improve.

In response to these precautions, Baxter says it will update the instructions for the use of its device and will add additional warnings. The company says it will dispatch a trainer to patients’ homes to help them understand the newest guidelines.

Both the FDA and Baxter urge patients who have experienced any problems with the device to report it to the hotlines listed at the bottom of their release.

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

The Food and Drug Administration published a warning from the medical device company Baxter International, citing problems with their device used for at-home respiratory therapy. The release cautions Volara system users that using certain therapies from the device may cause a change in lung pressure and a decrease in oxygen level. This cautionary warning was issued following a single reported case of oxygen loss while using the device.

The Volara system is meant to help patients with persistent pulmonary problems who are transitioning from the hospital to the outpatient setting. It can connect to three pieces commonly used in treating the respiratory conditions – a tracheostomy tube, a mask, and an in-line ventilator. The device offers three therapies – one to expand lungs (OLE), one to shake mucus from the lungs (CHFO), and a nebulizer to deliver medication.

This particular warning is relevant only to patients who use the system with an in-line ventilator or to patients who use OLE and CHFO therapies. The concern is that a rapid change in lung pressure (barotrauma), could damage the tissue by overextending the surface of the organ. Additionally, as noted in the reported case, Volara users may be at risk for a decrease in the level of oxygen while using the device (oxygen desaturation).

If patients have been directed to use Volara by a physician, the FDA recommends they continue to use it as prescribed. But they should look out for signs of respiratory distress. These include changes in alertness, the appearance of a blue tint around the mouth, increased breathing rate, and wheezing. If a patient or caregiver sees these signs, the patient should stop using Volara immediately and should seek help if their symptoms don’t improve.

In response to these precautions, Baxter says it will update the instructions for the use of its device and will add additional warnings. The company says it will dispatch a trainer to patients’ homes to help them understand the newest guidelines.

Both the FDA and Baxter urge patients who have experienced any problems with the device to report it to the hotlines listed at the bottom of their release.

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

The U.S. Food and Drug Administration has announced a Class I recall for Philips Respironics V60 and V60 Plus ventilators, citing a power failure leading to potential oxygen deprivation. Class I recalls, the most severe, are reserved for devices that may cause serious injury or death, as noted in the FDA’s announcement. As of April 14, one death and four injuries have been associated with this device failure.

These ventilators are commonly used in hospitals or under medical supervision for patients who have difficulty regulating breathing on their own. Normally, if oxygen flow is interrupted, the device sounds alarms, alerting supervisors. The failure comes when a power fluctuation causes the device to randomly shut down, which forces the alarm system to reboot. This internal disruption is the reason for the recall.

When the device shuts down out of the blue, it may or may not sound the requisite alarm that would allow providers to intervene. If the device does not sound the alarm, patients may lose oxygen for an extended period, without a provider even knowing.

Philips was notified of these problems and began the recall process on March 10. Currently, it is estimated that 56,671 devices have been distributed throughout the United States. The FDA and Philips Respironics advise that if providers are already using these ventilators, they may continue to do so in accordance with extra set of instructions.

First, customers should connect the device to an external alarm or nurse call system. Second, they should use an external oxygen monitor and a pulse oximeter to keep track of air flow. Finally, if one is available, there should be a backup ventilator on the premises. That way, if there is an interruption in oxygen flow, someone will be alerted and can quickly intervene.

If there is a problem, the patient should be removed from the Philips ventilator and immediately placed on an alternate device. The FDA instructs customers who have experienced problems to report them to its MedWatch database.

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

The U.S. Food and Drug Administration has announced a Class I recall for Philips Respironics V60 and V60 Plus ventilators, citing a power failure leading to potential oxygen deprivation. Class I recalls, the most severe, are reserved for devices that may cause serious injury or death, as noted in the FDA’s announcement. As of April 14, one death and four injuries have been associated with this device failure.

These ventilators are commonly used in hospitals or under medical supervision for patients who have difficulty regulating breathing on their own. Normally, if oxygen flow is interrupted, the device sounds alarms, alerting supervisors. The failure comes when a power fluctuation causes the device to randomly shut down, which forces the alarm system to reboot. This internal disruption is the reason for the recall.

When the device shuts down out of the blue, it may or may not sound the requisite alarm that would allow providers to intervene. If the device does not sound the alarm, patients may lose oxygen for an extended period, without a provider even knowing.

Philips was notified of these problems and began the recall process on March 10. Currently, it is estimated that 56,671 devices have been distributed throughout the United States. The FDA and Philips Respironics advise that if providers are already using these ventilators, they may continue to do so in accordance with extra set of instructions.

First, customers should connect the device to an external alarm or nurse call system. Second, they should use an external oxygen monitor and a pulse oximeter to keep track of air flow. Finally, if one is available, there should be a backup ventilator on the premises. That way, if there is an interruption in oxygen flow, someone will be alerted and can quickly intervene.

If there is a problem, the patient should be removed from the Philips ventilator and immediately placed on an alternate device. The FDA instructs customers who have experienced problems to report them to its MedWatch database.

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

The U.S. Food and Drug Administration has announced a Class I recall for Philips Respironics V60 and V60 Plus ventilators, citing a power failure leading to potential oxygen deprivation. Class I recalls, the most severe, are reserved for devices that may cause serious injury or death, as noted in the FDA’s announcement. As of April 14, one death and four injuries have been associated with this device failure.

These ventilators are commonly used in hospitals or under medical supervision for patients who have difficulty regulating breathing on their own. Normally, if oxygen flow is interrupted, the device sounds alarms, alerting supervisors. The failure comes when a power fluctuation causes the device to randomly shut down, which forces the alarm system to reboot. This internal disruption is the reason for the recall.

When the device shuts down out of the blue, it may or may not sound the requisite alarm that would allow providers to intervene. If the device does not sound the alarm, patients may lose oxygen for an extended period, without a provider even knowing.

Philips was notified of these problems and began the recall process on March 10. Currently, it is estimated that 56,671 devices have been distributed throughout the United States. The FDA and Philips Respironics advise that if providers are already using these ventilators, they may continue to do so in accordance with extra set of instructions.

First, customers should connect the device to an external alarm or nurse call system. Second, they should use an external oxygen monitor and a pulse oximeter to keep track of air flow. Finally, if one is available, there should be a backup ventilator on the premises. That way, if there is an interruption in oxygen flow, someone will be alerted and can quickly intervene.

If there is a problem, the patient should be removed from the Philips ventilator and immediately placed on an alternate device. The FDA instructs customers who have experienced problems to report them to its MedWatch database.

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

SAN FRANCISCO – Interstitial lung disease is a difficult diagnosis to make, but a combination of artificial intelligence (AI) techniques and automated language processing could help clinicians identify the early signs of ILD and start patients on therapy, investigators say.

For example, applying an AI algorithm to spirometry readings taken from patients whose data were registered in the UK Biobank identified 27% as having ILD, and of this group, 66% had ostensibly normal lung function on spirometry but were later diagnosed with ILD, reported Marko Topalovic, PhD, from the AI company ArtiQ in Leuven, Belgium, at the American Thoracic Society’s international conference.

Neil Osterweil/MDedge News

“A diagnosis of ILD is very challenging, so you have patients who are going to be misdiagnosed or have a very late diagnosis, so we aimed to apply our AI algorithm on spirometry to see whether we could detect ILD much earlier,” he said in an interview conducted during a poster discussion session.

AI detected ILD up to 6.8 years before a clinician’s diagnosis, Dr. Topalovic said.
 

Reading between the lines

In a separate study, investigators at the University of California, Davis, used language analysis software to scour electronic health records for words indicative of early ILD, and found that the technique dramatically shortened the median time to a pulmonary referral, compared with historical controls.

“This is a language processing program that can essentially look through the radiology reports and look for the key words that often describe interstitial lung disease, like traction, honeycomb, fibrotic, etc. With those studies being flagged, an actual pulmonologist will then further review the scan, and see whether it meets criteria for one of the interstitial lung diseases,” lead author William Leon, MD, a resident in the department of internal medicine at the University of California, Davis, said in an interview.

Neil Osterweil/MDedge News

“We then sent the primary care doctor a message to say: ‘Hey, this patient has ILD. You need to send them to a pulmonologist,’ ” he added.
 

Putting it together

Philip L. Molyneaux, MRCP (UK), MBBS, BS (Hons), from Imperial College London, who comoderated the session but was not involved in the studies, speculated that combining these and other, nontechnical interventions also discussed could help to improve diagnosis of ILD and allow clinicians to prescribe therapy earlier in the disease course.

“What’s going to give you the biggest impact for patients? Everyone working individually is coming up with great advances, and if you put them all together it’s going to provide much greater benefit for our patients,” he said in an interview.
 

AI Spirometry details

In collaboration with colleagues at the Laboratory of Respiratory Disease at University Hospital in Leuven, Dr. Topalovic applied AI to results of spirometry performed prior to diagnosis of ILD among 109 patients registered in the UK Biobank, a repository of information on more than 500,000 volunteers.

The patients selected had ILD listed as their cause of death, had spirometry performed up to 7 years before their deaths, and did not receive a diagnosis of ILD on the day of the index spirometry.

In all 73% of patients were men, 27% women, with an average age of 64.6 years. A large majority of the sample (77.15%) had a history of smoking, and 60 of the patients (55%) died within one year of an ILD diagnosis.

The investigators plugged the spirometry data and each patients demographic information – including gender, age, height, weight, race, and smoking status – into the AI clinical decision support program, which yielded a statistical probability for each subject of having normal lung function, asthma, COPD, ILD, another obstructive disease, or another unidentifiable respiratory disease.

In 29 patients (27%) the software listed ILD as the highest probability, and of this group 19 patients (66%) had normal lung function according to standard interpretation guidelines.

Spirometry parameters among patients identified as having probable ILD were different from those where ILD was not detected. For example, forced vital capacity (FVC) was 76% of predicted among patients with likely ILD versus 87% of predicted in those who had a diagnosis later (P = .003). Similar differences were seen in the forced expiratory volume in 1 second to FVC ratio, at 0.82 vs. 0.75, respectively (P = .007).

There were no differences in mortality or in median time between spirometry and clinician diagnosis between the groups.
 

Language processing details

Dr. Leon and colleagues used a language analysis software package to review CT chest reports. Reports were flagged if they contained the words traction, honeycomb, fibrotic, fibrosis, reticular, or reticulation.

The CT scan accompanying each flagged reported was reviewed by a pulmonologist for the presence of ILD, and scans with ILD identified were referred to pulmonary specialists. The results of 2,198 prospective scans followed by prospective screening were compared with those of 1,690 historical controls seen in 2015 and 2016.

The investigators found that 85 incident cases of ILD were identified in the historical controls, compared with 143 in the prospective cohort, leading to 38 and 120 pulmonary referrals, respectively.

For the primary outcome of median time from CT to pulmonary referral, the authors found that it was 1.27 months for the prospective cohort, compared with not reached (censored after 18 months) in historical controls.

The hazard ratio for a pulmonary referral in the prospective versus historical cohort was 2.79, an association that was strengthened after adjusting for sex, age, race, smoking pack-years, cough, crackles, and dyspnea (HR, 4.54; both comparisons significant according to confidence intervals).

The studies were internally funded. Dr. Topalovic is CEO and cofounder of ArtiQ. Dr. Leon and Dr. Molyneaux reported no relevant conflicts of interest.

SAN FRANCISCO – Interstitial lung disease is a difficult diagnosis to make, but a combination of artificial intelligence (AI) techniques and automated language processing could help clinicians identify the early signs of ILD and start patients on therapy, investigators say.

For example, applying an AI algorithm to spirometry readings taken from patients whose data were registered in the UK Biobank identified 27% as having ILD, and of this group, 66% had ostensibly normal lung function on spirometry but were later diagnosed with ILD, reported Marko Topalovic, PhD, from the AI company ArtiQ in Leuven, Belgium, at the American Thoracic Society’s international conference.

Neil Osterweil/MDedge News

“A diagnosis of ILD is very challenging, so you have patients who are going to be misdiagnosed or have a very late diagnosis, so we aimed to apply our AI algorithm on spirometry to see whether we could detect ILD much earlier,” he said in an interview conducted during a poster discussion session.

AI detected ILD up to 6.8 years before a clinician’s diagnosis, Dr. Topalovic said.
 

Reading between the lines

In a separate study, investigators at the University of California, Davis, used language analysis software to scour electronic health records for words indicative of early ILD, and found that the technique dramatically shortened the median time to a pulmonary referral, compared with historical controls.

“This is a language processing program that can essentially look through the radiology reports and look for the key words that often describe interstitial lung disease, like traction, honeycomb, fibrotic, etc. With those studies being flagged, an actual pulmonologist will then further review the scan, and see whether it meets criteria for one of the interstitial lung diseases,” lead author William Leon, MD, a resident in the department of internal medicine at the University of California, Davis, said in an interview.

Neil Osterweil/MDedge News

“We then sent the primary care doctor a message to say: ‘Hey, this patient has ILD. You need to send them to a pulmonologist,’ ” he added.
 

Putting it together

Philip L. Molyneaux, MRCP (UK), MBBS, BS (Hons), from Imperial College London, who comoderated the session but was not involved in the studies, speculated that combining these and other, nontechnical interventions also discussed could help to improve diagnosis of ILD and allow clinicians to prescribe therapy earlier in the disease course.

“What’s going to give you the biggest impact for patients? Everyone working individually is coming up with great advances, and if you put them all together it’s going to provide much greater benefit for our patients,” he said in an interview.
 

AI Spirometry details

In collaboration with colleagues at the Laboratory of Respiratory Disease at University Hospital in Leuven, Dr. Topalovic applied AI to results of spirometry performed prior to diagnosis of ILD among 109 patients registered in the UK Biobank, a repository of information on more than 500,000 volunteers.

The patients selected had ILD listed as their cause of death, had spirometry performed up to 7 years before their deaths, and did not receive a diagnosis of ILD on the day of the index spirometry.

In all 73% of patients were men, 27% women, with an average age of 64.6 years. A large majority of the sample (77.15%) had a history of smoking, and 60 of the patients (55%) died within one year of an ILD diagnosis.

The investigators plugged the spirometry data and each patients demographic information – including gender, age, height, weight, race, and smoking status – into the AI clinical decision support program, which yielded a statistical probability for each subject of having normal lung function, asthma, COPD, ILD, another obstructive disease, or another unidentifiable respiratory disease.

In 29 patients (27%) the software listed ILD as the highest probability, and of this group 19 patients (66%) had normal lung function according to standard interpretation guidelines.

Spirometry parameters among patients identified as having probable ILD were different from those where ILD was not detected. For example, forced vital capacity (FVC) was 76% of predicted among patients with likely ILD versus 87% of predicted in those who had a diagnosis later (P = .003). Similar differences were seen in the forced expiratory volume in 1 second to FVC ratio, at 0.82 vs. 0.75, respectively (P = .007).

There were no differences in mortality or in median time between spirometry and clinician diagnosis between the groups.
 

Language processing details

Dr. Leon and colleagues used a language analysis software package to review CT chest reports. Reports were flagged if they contained the words traction, honeycomb, fibrotic, fibrosis, reticular, or reticulation.

The CT scan accompanying each flagged reported was reviewed by a pulmonologist for the presence of ILD, and scans with ILD identified were referred to pulmonary specialists. The results of 2,198 prospective scans followed by prospective screening were compared with those of 1,690 historical controls seen in 2015 and 2016.

The investigators found that 85 incident cases of ILD were identified in the historical controls, compared with 143 in the prospective cohort, leading to 38 and 120 pulmonary referrals, respectively.

For the primary outcome of median time from CT to pulmonary referral, the authors found that it was 1.27 months for the prospective cohort, compared with not reached (censored after 18 months) in historical controls.

The hazard ratio for a pulmonary referral in the prospective versus historical cohort was 2.79, an association that was strengthened after adjusting for sex, age, race, smoking pack-years, cough, crackles, and dyspnea (HR, 4.54; both comparisons significant according to confidence intervals).

The studies were internally funded. Dr. Topalovic is CEO and cofounder of ArtiQ. Dr. Leon and Dr. Molyneaux reported no relevant conflicts of interest.

SAN FRANCISCO – Interstitial lung disease is a difficult diagnosis to make, but a combination of artificial intelligence (AI) techniques and automated language processing could help clinicians identify the early signs of ILD and start patients on therapy, investigators say.

For example, applying an AI algorithm to spirometry readings taken from patients whose data were registered in the UK Biobank identified 27% as having ILD, and of this group, 66% had ostensibly normal lung function on spirometry but were later diagnosed with ILD, reported Marko Topalovic, PhD, from the AI company ArtiQ in Leuven, Belgium, at the American Thoracic Society’s international conference.

Neil Osterweil/MDedge News

“A diagnosis of ILD is very challenging, so you have patients who are going to be misdiagnosed or have a very late diagnosis, so we aimed to apply our AI algorithm on spirometry to see whether we could detect ILD much earlier,” he said in an interview conducted during a poster discussion session.

AI detected ILD up to 6.8 years before a clinician’s diagnosis, Dr. Topalovic said.
 

Reading between the lines

In a separate study, investigators at the University of California, Davis, used language analysis software to scour electronic health records for words indicative of early ILD, and found that the technique dramatically shortened the median time to a pulmonary referral, compared with historical controls.

“This is a language processing program that can essentially look through the radiology reports and look for the key words that often describe interstitial lung disease, like traction, honeycomb, fibrotic, etc. With those studies being flagged, an actual pulmonologist will then further review the scan, and see whether it meets criteria for one of the interstitial lung diseases,” lead author William Leon, MD, a resident in the department of internal medicine at the University of California, Davis, said in an interview.

Neil Osterweil/MDedge News

“We then sent the primary care doctor a message to say: ‘Hey, this patient has ILD. You need to send them to a pulmonologist,’ ” he added.
 

Putting it together

Philip L. Molyneaux, MRCP (UK), MBBS, BS (Hons), from Imperial College London, who comoderated the session but was not involved in the studies, speculated that combining these and other, nontechnical interventions also discussed could help to improve diagnosis of ILD and allow clinicians to prescribe therapy earlier in the disease course.

“What’s going to give you the biggest impact for patients? Everyone working individually is coming up with great advances, and if you put them all together it’s going to provide much greater benefit for our patients,” he said in an interview.
 

AI Spirometry details

In collaboration with colleagues at the Laboratory of Respiratory Disease at University Hospital in Leuven, Dr. Topalovic applied AI to results of spirometry performed prior to diagnosis of ILD among 109 patients registered in the UK Biobank, a repository of information on more than 500,000 volunteers.

The patients selected had ILD listed as their cause of death, had spirometry performed up to 7 years before their deaths, and did not receive a diagnosis of ILD on the day of the index spirometry.

In all 73% of patients were men, 27% women, with an average age of 64.6 years. A large majority of the sample (77.15%) had a history of smoking, and 60 of the patients (55%) died within one year of an ILD diagnosis.

The investigators plugged the spirometry data and each patients demographic information – including gender, age, height, weight, race, and smoking status – into the AI clinical decision support program, which yielded a statistical probability for each subject of having normal lung function, asthma, COPD, ILD, another obstructive disease, or another unidentifiable respiratory disease.

In 29 patients (27%) the software listed ILD as the highest probability, and of this group 19 patients (66%) had normal lung function according to standard interpretation guidelines.

Spirometry parameters among patients identified as having probable ILD were different from those where ILD was not detected. For example, forced vital capacity (FVC) was 76% of predicted among patients with likely ILD versus 87% of predicted in those who had a diagnosis later (P = .003). Similar differences were seen in the forced expiratory volume in 1 second to FVC ratio, at 0.82 vs. 0.75, respectively (P = .007).

There were no differences in mortality or in median time between spirometry and clinician diagnosis between the groups.
 

Language processing details

Dr. Leon and colleagues used a language analysis software package to review CT chest reports. Reports were flagged if they contained the words traction, honeycomb, fibrotic, fibrosis, reticular, or reticulation.

The CT scan accompanying each flagged reported was reviewed by a pulmonologist for the presence of ILD, and scans with ILD identified were referred to pulmonary specialists. The results of 2,198 prospective scans followed by prospective screening were compared with those of 1,690 historical controls seen in 2015 and 2016.

The investigators found that 85 incident cases of ILD were identified in the historical controls, compared with 143 in the prospective cohort, leading to 38 and 120 pulmonary referrals, respectively.

For the primary outcome of median time from CT to pulmonary referral, the authors found that it was 1.27 months for the prospective cohort, compared with not reached (censored after 18 months) in historical controls.

The hazard ratio for a pulmonary referral in the prospective versus historical cohort was 2.79, an association that was strengthened after adjusting for sex, age, race, smoking pack-years, cough, crackles, and dyspnea (HR, 4.54; both comparisons significant according to confidence intervals).

The studies were internally funded. Dr. Topalovic is CEO and cofounder of ArtiQ. Dr. Leon and Dr. Molyneaux reported no relevant conflicts of interest.

After years going on and off medications for occasional asthma symptoms, things went downhill for Brian Blome in November 2020. The retired carpenter started feeling short of breath and wheezing during bike rides. At home, he struggled with chores.

“I was having a hard time climbing a flight of stairs, just doing laundry,” said Mr. Blome, who lives in the Chicago suburb of Palatine.

To get things under control, he saw an allergist and started regular medications – two tablets, two nasal sprays, and inhaled corticosteroids each day, plus an albuterol inhaler for flare-ups.

The inhalers have an extra feature: an electronic monitor that attaches to the device and automatically tracks where and when the medication is used. Bluetooth sends this information to an app on the patient’s mobile phone and to a dashboard where the medical team can see, at a glance, when symptoms are popping up and how regularly medications are taken – leading to the devices often being called “smart inhalers.”

At the 2022 American Academy of Allergy, Asthma, and Immunology conference in Phoenix, researchers explained how digital monitoring devices can help diagnose and treat hard-to-control asthma, potentially reducing the need for oral steroids or biologic therapies.

Even though electric monitors have been on the market for years, their use has been slow to catch on because of uncertainties around insurance coverage, liability, and how to manage and best use the data. One recent study said these devices cost $100-$500, but that price depends on many things, such as insurance.

About 17% of adult asthma patients have “difficult-to-control” asthma, meaning they limit their activity because of breathing symptoms and use reliever medications multiple times a week.

But research suggests that correcting inhaling technique and sticking to the use of the medications can cut that 17% down to just 3.7%, said Mr. Blome’s allergist, Giselle Mosnaim, MD, of NorthShore University HealthSystem in Glenview, Ill. Dr. Mosnaim spoke about digital monitoring at a conference session on digital technologies for asthma management.

A study of more than 5,000 asthma patients “showed that, if you have critical errors in inhaler technique, this leads to worse asthma outcomes and increased asthma exacerbations,” she said. It also shows that, despite new devices and new technologies, “we still have poor inhaler technique.”

Yet adherence is poorly gauged by doctors and patient self-reporting. “The ideal measure of adherence should be objective, accurate, and unobtrusive to minimize impact on patient behavior and allow reliable data collection in real-world settings,” Dr. Mosnaim said. “So electronic medication monitors are the gold standard.”
 

Improving use

Patients not following instructions or guidelines “is something we saw nonstop with kids,” said Caroline Moassessi, founder of the allergy and asthma blog Gratefulfoodie.com who formerly served on a regional board of the American Lung Association. She’s also the mother of two asthmatic children, now in college, who years ago used electronic medication monitors as part of a research trial.

They were “unimpressed – mostly since I think they thought their asthma was controlled,” she said. “When patients are not in crisis, they don’t manage their asthma well.”

Even in research studies such as the one Rachelle Ramsey, PhD, presented at the conference, it’s not only hard to determine if better adherence leads to improved health, but when.

“For example, does your adherence this week impact your asthma control this week, or does it impact your asthma control next week? Or is it even further out? Do you need to have some level of adherence over the course of a month in order to have better outcomes at the end of that month?” said Dr. Ramsey, a pediatric research psychologist at Cincinnati Children’s Hospital Medical Center. “I think it’s a little complicated.”

That said, results from several small studies do show a connection between remote monitoring and better clinical outcomes. One study enrolled asthma patients in the United Kingdom, and another was done by Dr. Mosnaim with Chicago-area patients.

In the U.K. quality improvement project, nurses asked patients with difficult-to-control asthma if they knew how to use their inhalers and were following treatment guidelines.

Those who said “yes” were invited to swap their steroid/inhalers for a controller fitted with a device that tracks use and measures acoustics to test inhaler technique. After 28 days of monitoring, many people in the study had better clinical outcomes.

And after 3 months of digital monitoring, patients didn’t use their rescue medication quite as often.

Mr. Blome has seen a marked improvement in his asthma since starting regular appointments and getting back on daily medications a year and a half ago. He says that now and then, he has wheezing and shortness of breath, usually while biking or exercising. But those symptoms aren’t as severe or frequent as before.

From a doctor’s perspective, “digital inhaler systems allow me to discern patterns in order to determine what triggers his asthma symptoms and to adjust medications at different times of the year,” Dr. Mosnaim said.

Electronic systems can monitor pollen counts and air quality as well as how often a patient uses a quick reliever medication. Thus, she said, tracking these measures year-round could raise attention to impending asthma attacks and suggest when to increase the dose of controller medications or add other treatments.

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

After years going on and off medications for occasional asthma symptoms, things went downhill for Brian Blome in November 2020. The retired carpenter started feeling short of breath and wheezing during bike rides. At home, he struggled with chores.

“I was having a hard time climbing a flight of stairs, just doing laundry,” said Mr. Blome, who lives in the Chicago suburb of Palatine.

To get things under control, he saw an allergist and started regular medications – two tablets, two nasal sprays, and inhaled corticosteroids each day, plus an albuterol inhaler for flare-ups.

The inhalers have an extra feature: an electronic monitor that attaches to the device and automatically tracks where and when the medication is used. Bluetooth sends this information to an app on the patient’s mobile phone and to a dashboard where the medical team can see, at a glance, when symptoms are popping up and how regularly medications are taken – leading to the devices often being called “smart inhalers.”

At the 2022 American Academy of Allergy, Asthma, and Immunology conference in Phoenix, researchers explained how digital monitoring devices can help diagnose and treat hard-to-control asthma, potentially reducing the need for oral steroids or biologic therapies.

Even though electric monitors have been on the market for years, their use has been slow to catch on because of uncertainties around insurance coverage, liability, and how to manage and best use the data. One recent study said these devices cost $100-$500, but that price depends on many things, such as insurance.

About 17% of adult asthma patients have “difficult-to-control” asthma, meaning they limit their activity because of breathing symptoms and use reliever medications multiple times a week.

But research suggests that correcting inhaling technique and sticking to the use of the medications can cut that 17% down to just 3.7%, said Mr. Blome’s allergist, Giselle Mosnaim, MD, of NorthShore University HealthSystem in Glenview, Ill. Dr. Mosnaim spoke about digital monitoring at a conference session on digital technologies for asthma management.

A study of more than 5,000 asthma patients “showed that, if you have critical errors in inhaler technique, this leads to worse asthma outcomes and increased asthma exacerbations,” she said. It also shows that, despite new devices and new technologies, “we still have poor inhaler technique.”

Yet adherence is poorly gauged by doctors and patient self-reporting. “The ideal measure of adherence should be objective, accurate, and unobtrusive to minimize impact on patient behavior and allow reliable data collection in real-world settings,” Dr. Mosnaim said. “So electronic medication monitors are the gold standard.”
 

Improving use

Patients not following instructions or guidelines “is something we saw nonstop with kids,” said Caroline Moassessi, founder of the allergy and asthma blog Gratefulfoodie.com who formerly served on a regional board of the American Lung Association. She’s also the mother of two asthmatic children, now in college, who years ago used electronic medication monitors as part of a research trial.

They were “unimpressed – mostly since I think they thought their asthma was controlled,” she said. “When patients are not in crisis, they don’t manage their asthma well.”

Even in research studies such as the one Rachelle Ramsey, PhD, presented at the conference, it’s not only hard to determine if better adherence leads to improved health, but when.

“For example, does your adherence this week impact your asthma control this week, or does it impact your asthma control next week? Or is it even further out? Do you need to have some level of adherence over the course of a month in order to have better outcomes at the end of that month?” said Dr. Ramsey, a pediatric research psychologist at Cincinnati Children’s Hospital Medical Center. “I think it’s a little complicated.”

That said, results from several small studies do show a connection between remote monitoring and better clinical outcomes. One study enrolled asthma patients in the United Kingdom, and another was done by Dr. Mosnaim with Chicago-area patients.

In the U.K. quality improvement project, nurses asked patients with difficult-to-control asthma if they knew how to use their inhalers and were following treatment guidelines.

Those who said “yes” were invited to swap their steroid/inhalers for a controller fitted with a device that tracks use and measures acoustics to test inhaler technique. After 28 days of monitoring, many people in the study had better clinical outcomes.

And after 3 months of digital monitoring, patients didn’t use their rescue medication quite as often.

Mr. Blome has seen a marked improvement in his asthma since starting regular appointments and getting back on daily medications a year and a half ago. He says that now and then, he has wheezing and shortness of breath, usually while biking or exercising. But those symptoms aren’t as severe or frequent as before.

From a doctor’s perspective, “digital inhaler systems allow me to discern patterns in order to determine what triggers his asthma symptoms and to adjust medications at different times of the year,” Dr. Mosnaim said.

Electronic systems can monitor pollen counts and air quality as well as how often a patient uses a quick reliever medication. Thus, she said, tracking these measures year-round could raise attention to impending asthma attacks and suggest when to increase the dose of controller medications or add other treatments.

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

After years going on and off medications for occasional asthma symptoms, things went downhill for Brian Blome in November 2020. The retired carpenter started feeling short of breath and wheezing during bike rides. At home, he struggled with chores.

“I was having a hard time climbing a flight of stairs, just doing laundry,” said Mr. Blome, who lives in the Chicago suburb of Palatine.

To get things under control, he saw an allergist and started regular medications – two tablets, two nasal sprays, and inhaled corticosteroids each day, plus an albuterol inhaler for flare-ups.

The inhalers have an extra feature: an electronic monitor that attaches to the device and automatically tracks where and when the medication is used. Bluetooth sends this information to an app on the patient’s mobile phone and to a dashboard where the medical team can see, at a glance, when symptoms are popping up and how regularly medications are taken – leading to the devices often being called “smart inhalers.”

At the 2022 American Academy of Allergy, Asthma, and Immunology conference in Phoenix, researchers explained how digital monitoring devices can help diagnose and treat hard-to-control asthma, potentially reducing the need for oral steroids or biologic therapies.

Even though electric monitors have been on the market for years, their use has been slow to catch on because of uncertainties around insurance coverage, liability, and how to manage and best use the data. One recent study said these devices cost $100-$500, but that price depends on many things, such as insurance.

About 17% of adult asthma patients have “difficult-to-control” asthma, meaning they limit their activity because of breathing symptoms and use reliever medications multiple times a week.

But research suggests that correcting inhaling technique and sticking to the use of the medications can cut that 17% down to just 3.7%, said Mr. Blome’s allergist, Giselle Mosnaim, MD, of NorthShore University HealthSystem in Glenview, Ill. Dr. Mosnaim spoke about digital monitoring at a conference session on digital technologies for asthma management.

A study of more than 5,000 asthma patients “showed that, if you have critical errors in inhaler technique, this leads to worse asthma outcomes and increased asthma exacerbations,” she said. It also shows that, despite new devices and new technologies, “we still have poor inhaler technique.”

Yet adherence is poorly gauged by doctors and patient self-reporting. “The ideal measure of adherence should be objective, accurate, and unobtrusive to minimize impact on patient behavior and allow reliable data collection in real-world settings,” Dr. Mosnaim said. “So electronic medication monitors are the gold standard.”
 

Improving use

Patients not following instructions or guidelines “is something we saw nonstop with kids,” said Caroline Moassessi, founder of the allergy and asthma blog Gratefulfoodie.com who formerly served on a regional board of the American Lung Association. She’s also the mother of two asthmatic children, now in college, who years ago used electronic medication monitors as part of a research trial.

They were “unimpressed – mostly since I think they thought their asthma was controlled,” she said. “When patients are not in crisis, they don’t manage their asthma well.”

Even in research studies such as the one Rachelle Ramsey, PhD, presented at the conference, it’s not only hard to determine if better adherence leads to improved health, but when.

“For example, does your adherence this week impact your asthma control this week, or does it impact your asthma control next week? Or is it even further out? Do you need to have some level of adherence over the course of a month in order to have better outcomes at the end of that month?” said Dr. Ramsey, a pediatric research psychologist at Cincinnati Children’s Hospital Medical Center. “I think it’s a little complicated.”

That said, results from several small studies do show a connection between remote monitoring and better clinical outcomes. One study enrolled asthma patients in the United Kingdom, and another was done by Dr. Mosnaim with Chicago-area patients.

In the U.K. quality improvement project, nurses asked patients with difficult-to-control asthma if they knew how to use their inhalers and were following treatment guidelines.

Those who said “yes” were invited to swap their steroid/inhalers for a controller fitted with a device that tracks use and measures acoustics to test inhaler technique. After 28 days of monitoring, many people in the study had better clinical outcomes.

And after 3 months of digital monitoring, patients didn’t use their rescue medication quite as often.

Mr. Blome has seen a marked improvement in his asthma since starting regular appointments and getting back on daily medications a year and a half ago. He says that now and then, he has wheezing and shortness of breath, usually while biking or exercising. But those symptoms aren’t as severe or frequent as before.

From a doctor’s perspective, “digital inhaler systems allow me to discern patterns in order to determine what triggers his asthma symptoms and to adjust medications at different times of the year,” Dr. Mosnaim said.

Electronic systems can monitor pollen counts and air quality as well as how often a patient uses a quick reliever medication. Thus, she said, tracking these measures year-round could raise attention to impending asthma attacks and suggest when to increase the dose of controller medications or add other treatments.

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

Not all patients with chronic obstructive pulmonary disease (COPD) respond equally well to pulmonary rehabilitation (PR).

Now, physicians can better categorize which patients will do well with PR and which ones less well or not well at all based on a new system of clustering of COPD patients according to their response to exercise therapy.

“We identified four clusters of COPD patients and their response to PR in the aim to better understand PR outcome and [adapt] it to patients’ profiles and needs,” lead author Yara Al Chikhanie, MD, of the cardiopulmonary rehabilitation center Dieulefit Sante (France), and colleagues observed.

“Identification of patients likely to show smaller responses to PR may help to target patients benefiting the most and to adapt PR settings for nonresponders to standard PR,” they suggested.

The study was published online in Respiratory Medicine.

Single-center cohort

The cohort consisted of 835 patients from a single center who had been admitted to a cardiopulmonary rehabilitation center over a 6-year period from 2021 to 2017. “The PR program used in the center was the same over the 6-year period,” the authors note – consisting of a 3- to 4-week, inpatient program with activities 5 days a week.

Each day, patients attended a 25-minute aerobic training session on a cycling ergometer or a treadmill; a 30-minute low-intensity gym session; a 30-minute group walk outdoors, and 30 minutes of strength training. “We aimed to cluster patients with COPD admitted to PR based on patients’ clinical characteristics and 6-meter walk test results (6MWT), pulse oxygen saturation (SPO₂), heart rate (HR), and dyspnea,” the authors explained.

They then evaluated patient response to PR in each of these clusters based on the amount of improvement in the 6-meter walk distance (6MWD), lung function, and quality of life observed, they added.

The population consisted of seniors, equally men and women, mostly GOLD II and III patients (a measure of lung function) with a limited walking capacity, some 84% of the cohort having a 6MWD <80% predicted. The characteristics of the four identified clusters were as follows:

• Cluster 1: Consisted of younger men, GOLD I to II, average walkers, obese. The average 6MWD was 430 meters and patients had a large exercise HR response to PR. This cluster had a 76 meter improvement in their 6MWD, although 16% of the same cluster still did not respond to PR.
• Cluster 2: Consisted of older women, GOLD II-III, who were slow walkers. This cluster had a reduced 6MWD of 362 meters, but they also had a significant 97-meter improvement in their 6MWD following PR. Some 18% were still nonresponders to PR.
• Cluster 3: Consisted of older men, GOLD II to III, dyspneic, slow walkers, some 32% of whom responded to PR. This cluster also had a reduced 6MWD at 388 meters, but again, they also had a significant improvement of 79 meters in their 6MWD following the introduction of PR. Some 11% were nonresponders to PR.
• Cluster 4: Consisted of older men, GOLD III to IV, very slow walkers, oxygen-dependent, very dyspneic. This cluster had a severely reduced 6MWD of only 290 meters with severe exercise desaturation and dyspnea, and almost all of them were on long-term oxygen therapy. Nevertheless, this cluster also had a significant, 66-meter improvement in their 6MWD. Twenty-eight percent of them were nonresponders to PR.

Clinical practice

“The highly heterogeneous nature of the enrolled patient population reflects clinical practice,” the authors point out. For example, cluster 1 included patients with the best lung function, compared with those in clusters 2, 3, and 4 – which may be due, at least in part, to the aggravation in disease severity with age given that patients in cluster 1 were the youngest overall.

The fact that those in cluster 4 had the worst performance may also have been because of age and disease severity, the authors note, as those in cluster 4 had the highest proportion of patients on long-term oxygen therapy, again suggestive of disease severity. “Of note, these patients show the most impaired 6MWT responses despite the use of oxygen supplementation during walking,” the researchers added.

The authors also suggest that patients such as those in cluster 4 may require specific PR modalities in order to optimize their functional benefits. In contrast, those in cluster 1 had a significantly higher body mass index, compared with those in the other 3 clusters, which, interestingly enough, was not associated with more severe functional exercise impairment. The fact that older age participants, such as those in cluster 3 as well as those with high BMI in cluster 1, were both able to improve their 6MWD post-PR to the same extent as younger patients without obesity suggests that most older or overweight/obese patients can still show clinically significant improvement in 6MWD post PR, as the authors suggest.

Notably, the 6MWT was the only test available both pre-and post PR, making this an important limitation of the study, because only one aspect of the effect of PR was evaluated, omitting other physical and psychosocial benefits of PR, investigators suggest.

Adds to the literature

Asked to comment on the findings, Sachin Gupta, MD, attending physician, pulmonary & critical care medicine, Alameda Health System, Highland Hospital, Oakland, Calif., felt that these data add to the literature in defining COPD patient profiles, helping to categorize those in whom to expect greater walk distance improvements with PR versus those who will respond less well.

“Because 6MWD is a surrogate marker for quality of life (QOL) and mortality, further analysis in the form of a randomized controlled trial to determine long-term outcomes among the four clusters with adjustment for baseline characteristics would help determine the extent to which certain patient clusters may respond to PR,” Dr. Gupta told this news organization in an email.

At the same time, he suggested that while patients may not experience much net benefit in their 6MWD, their QOL or mortality risk may still improve with PR. “I cannot recall a patient ever describing their experience with PR as anything other than positive,” Dr. Gupta stressed.

“And as the authors [themselves] note, because PR serves to benefit patients beyond the 6MWD, I would not recommend limiting PR referrals based on the patient clusters identified,” he said.

The authors had no conflicts of interest to declare. Dr. Gupta declared that he is an employee and shareholder at Genentech.

Not all patients with chronic obstructive pulmonary disease (COPD) respond equally well to pulmonary rehabilitation (PR).

Now, physicians can better categorize which patients will do well with PR and which ones less well or not well at all based on a new system of clustering of COPD patients according to their response to exercise therapy.

“We identified four clusters of COPD patients and their response to PR in the aim to better understand PR outcome and [adapt] it to patients’ profiles and needs,” lead author Yara Al Chikhanie, MD, of the cardiopulmonary rehabilitation center Dieulefit Sante (France), and colleagues observed.

“Identification of patients likely to show smaller responses to PR may help to target patients benefiting the most and to adapt PR settings for nonresponders to standard PR,” they suggested.

The study was published online in Respiratory Medicine.

Single-center cohort

The cohort consisted of 835 patients from a single center who had been admitted to a cardiopulmonary rehabilitation center over a 6-year period from 2021 to 2017. “The PR program used in the center was the same over the 6-year period,” the authors note – consisting of a 3- to 4-week, inpatient program with activities 5 days a week.

Each day, patients attended a 25-minute aerobic training session on a cycling ergometer or a treadmill; a 30-minute low-intensity gym session; a 30-minute group walk outdoors, and 30 minutes of strength training. “We aimed to cluster patients with COPD admitted to PR based on patients’ clinical characteristics and 6-meter walk test results (6MWT), pulse oxygen saturation (SPO₂), heart rate (HR), and dyspnea,” the authors explained.

They then evaluated patient response to PR in each of these clusters based on the amount of improvement in the 6-meter walk distance (6MWD), lung function, and quality of life observed, they added.

The population consisted of seniors, equally men and women, mostly GOLD II and III patients (a measure of lung function) with a limited walking capacity, some 84% of the cohort having a 6MWD <80% predicted. The characteristics of the four identified clusters were as follows:

• Cluster 1: Consisted of younger men, GOLD I to II, average walkers, obese. The average 6MWD was 430 meters and patients had a large exercise HR response to PR. This cluster had a 76 meter improvement in their 6MWD, although 16% of the same cluster still did not respond to PR.
• Cluster 2: Consisted of older women, GOLD II-III, who were slow walkers. This cluster had a reduced 6MWD of 362 meters, but they also had a significant 97-meter improvement in their 6MWD following PR. Some 18% were still nonresponders to PR.
• Cluster 3: Consisted of older men, GOLD II to III, dyspneic, slow walkers, some 32% of whom responded to PR. This cluster also had a reduced 6MWD at 388 meters, but again, they also had a significant improvement of 79 meters in their 6MWD following the introduction of PR. Some 11% were nonresponders to PR.
• Cluster 4: Consisted of older men, GOLD III to IV, very slow walkers, oxygen-dependent, very dyspneic. This cluster had a severely reduced 6MWD of only 290 meters with severe exercise desaturation and dyspnea, and almost all of them were on long-term oxygen therapy. Nevertheless, this cluster also had a significant, 66-meter improvement in their 6MWD. Twenty-eight percent of them were nonresponders to PR.

Clinical practice

“The highly heterogeneous nature of the enrolled patient population reflects clinical practice,” the authors point out. For example, cluster 1 included patients with the best lung function, compared with those in clusters 2, 3, and 4 – which may be due, at least in part, to the aggravation in disease severity with age given that patients in cluster 1 were the youngest overall.

The fact that those in cluster 4 had the worst performance may also have been because of age and disease severity, the authors note, as those in cluster 4 had the highest proportion of patients on long-term oxygen therapy, again suggestive of disease severity. “Of note, these patients show the most impaired 6MWT responses despite the use of oxygen supplementation during walking,” the researchers added.

The authors also suggest that patients such as those in cluster 4 may require specific PR modalities in order to optimize their functional benefits. In contrast, those in cluster 1 had a significantly higher body mass index, compared with those in the other 3 clusters, which, interestingly enough, was not associated with more severe functional exercise impairment. The fact that older age participants, such as those in cluster 3 as well as those with high BMI in cluster 1, were both able to improve their 6MWD post-PR to the same extent as younger patients without obesity suggests that most older or overweight/obese patients can still show clinically significant improvement in 6MWD post PR, as the authors suggest.

Notably, the 6MWT was the only test available both pre-and post PR, making this an important limitation of the study, because only one aspect of the effect of PR was evaluated, omitting other physical and psychosocial benefits of PR, investigators suggest.

Adds to the literature

Asked to comment on the findings, Sachin Gupta, MD, attending physician, pulmonary & critical care medicine, Alameda Health System, Highland Hospital, Oakland, Calif., felt that these data add to the literature in defining COPD patient profiles, helping to categorize those in whom to expect greater walk distance improvements with PR versus those who will respond less well.

“Because 6MWD is a surrogate marker for quality of life (QOL) and mortality, further analysis in the form of a randomized controlled trial to determine long-term outcomes among the four clusters with adjustment for baseline characteristics would help determine the extent to which certain patient clusters may respond to PR,” Dr. Gupta told this news organization in an email.

At the same time, he suggested that while patients may not experience much net benefit in their 6MWD, their QOL or mortality risk may still improve with PR. “I cannot recall a patient ever describing their experience with PR as anything other than positive,” Dr. Gupta stressed.

“And as the authors [themselves] note, because PR serves to benefit patients beyond the 6MWD, I would not recommend limiting PR referrals based on the patient clusters identified,” he said.

The authors had no conflicts of interest to declare. Dr. Gupta declared that he is an employee and shareholder at Genentech.

Not all patients with chronic obstructive pulmonary disease (COPD) respond equally well to pulmonary rehabilitation (PR).

Now, physicians can better categorize which patients will do well with PR and which ones less well or not well at all based on a new system of clustering of COPD patients according to their response to exercise therapy.

“We identified four clusters of COPD patients and their response to PR in the aim to better understand PR outcome and [adapt] it to patients’ profiles and needs,” lead author Yara Al Chikhanie, MD, of the cardiopulmonary rehabilitation center Dieulefit Sante (France), and colleagues observed.

“Identification of patients likely to show smaller responses to PR may help to target patients benefiting the most and to adapt PR settings for nonresponders to standard PR,” they suggested.

The study was published online in Respiratory Medicine.

Single-center cohort

The cohort consisted of 835 patients from a single center who had been admitted to a cardiopulmonary rehabilitation center over a 6-year period from 2021 to 2017. “The PR program used in the center was the same over the 6-year period,” the authors note – consisting of a 3- to 4-week, inpatient program with activities 5 days a week.

Each day, patients attended a 25-minute aerobic training session on a cycling ergometer or a treadmill; a 30-minute low-intensity gym session; a 30-minute group walk outdoors, and 30 minutes of strength training. “We aimed to cluster patients with COPD admitted to PR based on patients’ clinical characteristics and 6-meter walk test results (6MWT), pulse oxygen saturation (SPO₂), heart rate (HR), and dyspnea,” the authors explained.

They then evaluated patient response to PR in each of these clusters based on the amount of improvement in the 6-meter walk distance (6MWD), lung function, and quality of life observed, they added.

The population consisted of seniors, equally men and women, mostly GOLD II and III patients (a measure of lung function) with a limited walking capacity, some 84% of the cohort having a 6MWD <80% predicted. The characteristics of the four identified clusters were as follows:

• Cluster 1: Consisted of younger men, GOLD I to II, average walkers, obese. The average 6MWD was 430 meters and patients had a large exercise HR response to PR. This cluster had a 76 meter improvement in their 6MWD, although 16% of the same cluster still did not respond to PR.
• Cluster 2: Consisted of older women, GOLD II-III, who were slow walkers. This cluster had a reduced 6MWD of 362 meters, but they also had a significant 97-meter improvement in their 6MWD following PR. Some 18% were still nonresponders to PR.
• Cluster 3: Consisted of older men, GOLD II to III, dyspneic, slow walkers, some 32% of whom responded to PR. This cluster also had a reduced 6MWD at 388 meters, but again, they also had a significant improvement of 79 meters in their 6MWD following the introduction of PR. Some 11% were nonresponders to PR.
• Cluster 4: Consisted of older men, GOLD III to IV, very slow walkers, oxygen-dependent, very dyspneic. This cluster had a severely reduced 6MWD of only 290 meters with severe exercise desaturation and dyspnea, and almost all of them were on long-term oxygen therapy. Nevertheless, this cluster also had a significant, 66-meter improvement in their 6MWD. Twenty-eight percent of them were nonresponders to PR.

Clinical practice

“The highly heterogeneous nature of the enrolled patient population reflects clinical practice,” the authors point out. For example, cluster 1 included patients with the best lung function, compared with those in clusters 2, 3, and 4 – which may be due, at least in part, to the aggravation in disease severity with age given that patients in cluster 1 were the youngest overall.

The fact that those in cluster 4 had the worst performance may also have been because of age and disease severity, the authors note, as those in cluster 4 had the highest proportion of patients on long-term oxygen therapy, again suggestive of disease severity. “Of note, these patients show the most impaired 6MWT responses despite the use of oxygen supplementation during walking,” the researchers added.

The authors also suggest that patients such as those in cluster 4 may require specific PR modalities in order to optimize their functional benefits. In contrast, those in cluster 1 had a significantly higher body mass index, compared with those in the other 3 clusters, which, interestingly enough, was not associated with more severe functional exercise impairment. The fact that older age participants, such as those in cluster 3 as well as those with high BMI in cluster 1, were both able to improve their 6MWD post-PR to the same extent as younger patients without obesity suggests that most older or overweight/obese patients can still show clinically significant improvement in 6MWD post PR, as the authors suggest.

Notably, the 6MWT was the only test available both pre-and post PR, making this an important limitation of the study, because only one aspect of the effect of PR was evaluated, omitting other physical and psychosocial benefits of PR, investigators suggest.

Adds to the literature

Asked to comment on the findings, Sachin Gupta, MD, attending physician, pulmonary & critical care medicine, Alameda Health System, Highland Hospital, Oakland, Calif., felt that these data add to the literature in defining COPD patient profiles, helping to categorize those in whom to expect greater walk distance improvements with PR versus those who will respond less well.

“Because 6MWD is a surrogate marker for quality of life (QOL) and mortality, further analysis in the form of a randomized controlled trial to determine long-term outcomes among the four clusters with adjustment for baseline characteristics would help determine the extent to which certain patient clusters may respond to PR,” Dr. Gupta told this news organization in an email.

At the same time, he suggested that while patients may not experience much net benefit in their 6MWD, their QOL or mortality risk may still improve with PR. “I cannot recall a patient ever describing their experience with PR as anything other than positive,” Dr. Gupta stressed.

“And as the authors [themselves] note, because PR serves to benefit patients beyond the 6MWD, I would not recommend limiting PR referrals based on the patient clusters identified,” he said.

The authors had no conflicts of interest to declare. Dr. Gupta declared that he is an employee and shareholder at Genentech.