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Understanding RA with COPD, lung cancer prediction models, and chronic cardiac dysfunction

 

Journal CHEST®

Does Rheumatoid Arthritis Increase the Risk of COPD? 

By: Chiwook Chung, MD, and colleagues

This study utilizing the Korean National Health Insurance Database suggests that patients with rheumatoid arthritis (RA) face a significantly higher risk of developing COPD compared with the general population. Notably, individuals with seropositive RA exhibit a greater risk of COPD onset than those with seronegative RA. Although smoking history didn’t affect the relationship between RA and COPD, monitoring respiratory symptoms and pulmonary function in patients with RA, especially patients who are seropositive, is crucial. These findings underscore the importance of interdisciplinary collaboration between rheumatologists and pulmonologists to enhance early detection and management strategies for pulmonary complications in patients with RA.

biludashiswochenilashuphuthalostituhidonakecuchemislitodrinacisitucracaphimuwriclubesladruletefreniteslevopunatrethewrophoclidisluwrohachepriwrudatroguchalushuraswodestiwraswakafricleswasloslawreswifrinahaswawrigislurushefribaka
Dr. Corinne Young


– Commentary by Corinne Young, MSN, FNP-C, FCCP, Member of the CHEST Physician® Editorial Board

CHEST Pulmonary®

The Lung Cancer Prediction Model “Stress Test” 

By: Brent E. Heideman, MD, and colleagues

Current lung cancer prediction models have limited utility in high-risk patients referred for diagnostic biopsy. In a study of 322 indeterminate pulmonary nodules, the Brock, Mayo Clinic, Herder, and Veterans Affairs models showed modest discrimination between benign and malignant nodules (AUCs 0.67-0.77). The models performed poorly for low-risk patients (negative predictive values 63%-71%) and suboptimally for high-risk patients (positive predictive values 73%-87%), suggesting referring physicians use additional clinical information not captured in these models to identify high-risk patients needing biopsy. New prediction models and biomarkers specifically developed and calibrated for high-risk populations are needed to better inform clinical decision-making. Incorporating interval imaging to assess changes in nodule characteristics could potentially improve model performance. Tailored risk assessment tools are crucial for optimizing management and reducing unnecessary invasive procedures in this challenging patient population.

pijuhubrukos
Dr. Russell Miller


– Commentary by Russell Miller, MD, Member of the CHEST Physician Editorial Board

CHEST Critical Care ®

Characterizing Cardiac Function in ICU Survivors of Sepsis 

By: Kevin Garrity, MBChB, and colleagues

While chronic cardiac dysfunction is one of the proposed mechanisms of long-term impairment post critical illness, its prevalence, mechanisms, and associations with disability following admission for sepsis are not well understood. Garrity and colleagues describe the Characterization of Cardiovascular Function in ICU Survivors of Sepsis (CONDUCT-ICU) protocol, a prospective study including two ICUs in Scotland aimed to better define cardiovascular dysfunction in survivors of sepsis. Designed to enroll 69 patients, demographics, cardiac and inflammatory biomarkers, and echocardiograms will be obtained on ICU discharge with additional laboratory data, cardiac magnetic resonance imaging, and patient-reported outcome measures to be obtained at 6 to 10 weeks. This novel multimodal approach will provide understanding into the role of cardiovascular dysfunction following critical illness as well as offer mechanistic insights. The investigators hope to obtain operational and pilot data for larger future studies.

shuwachosicrinacrechathespuslupradrisasubreslo
Dr. Eugene Yuriditsky

– Commentary by Eugene Yuriditsky, MD, FCCP, Member of the CHEST Physician Editorial Board

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Understanding RA with COPD, lung cancer prediction models, and chronic cardiac dysfunction

Understanding RA with COPD, lung cancer prediction models, and chronic cardiac dysfunction

 

Journal CHEST®

Does Rheumatoid Arthritis Increase the Risk of COPD? 

By: Chiwook Chung, MD, and colleagues

This study utilizing the Korean National Health Insurance Database suggests that patients with rheumatoid arthritis (RA) face a significantly higher risk of developing COPD compared with the general population. Notably, individuals with seropositive RA exhibit a greater risk of COPD onset than those with seronegative RA. Although smoking history didn’t affect the relationship between RA and COPD, monitoring respiratory symptoms and pulmonary function in patients with RA, especially patients who are seropositive, is crucial. These findings underscore the importance of interdisciplinary collaboration between rheumatologists and pulmonologists to enhance early detection and management strategies for pulmonary complications in patients with RA.

biludashiswochenilashuphuthalostituhidonakecuchemislitodrinacisitucracaphimuwriclubesladruletefreniteslevopunatrethewrophoclidisluwrohachepriwrudatroguchalushuraswodestiwraswakafricleswasloslawreswifrinahaswawrigislurushefribaka
Dr. Corinne Young


– Commentary by Corinne Young, MSN, FNP-C, FCCP, Member of the CHEST Physician® Editorial Board

CHEST Pulmonary®

The Lung Cancer Prediction Model “Stress Test” 

By: Brent E. Heideman, MD, and colleagues

Current lung cancer prediction models have limited utility in high-risk patients referred for diagnostic biopsy. In a study of 322 indeterminate pulmonary nodules, the Brock, Mayo Clinic, Herder, and Veterans Affairs models showed modest discrimination between benign and malignant nodules (AUCs 0.67-0.77). The models performed poorly for low-risk patients (negative predictive values 63%-71%) and suboptimally for high-risk patients (positive predictive values 73%-87%), suggesting referring physicians use additional clinical information not captured in these models to identify high-risk patients needing biopsy. New prediction models and biomarkers specifically developed and calibrated for high-risk populations are needed to better inform clinical decision-making. Incorporating interval imaging to assess changes in nodule characteristics could potentially improve model performance. Tailored risk assessment tools are crucial for optimizing management and reducing unnecessary invasive procedures in this challenging patient population.

pijuhubrukos
Dr. Russell Miller


– Commentary by Russell Miller, MD, Member of the CHEST Physician Editorial Board

CHEST Critical Care ®

Characterizing Cardiac Function in ICU Survivors of Sepsis 

By: Kevin Garrity, MBChB, and colleagues

While chronic cardiac dysfunction is one of the proposed mechanisms of long-term impairment post critical illness, its prevalence, mechanisms, and associations with disability following admission for sepsis are not well understood. Garrity and colleagues describe the Characterization of Cardiovascular Function in ICU Survivors of Sepsis (CONDUCT-ICU) protocol, a prospective study including two ICUs in Scotland aimed to better define cardiovascular dysfunction in survivors of sepsis. Designed to enroll 69 patients, demographics, cardiac and inflammatory biomarkers, and echocardiograms will be obtained on ICU discharge with additional laboratory data, cardiac magnetic resonance imaging, and patient-reported outcome measures to be obtained at 6 to 10 weeks. This novel multimodal approach will provide understanding into the role of cardiovascular dysfunction following critical illness as well as offer mechanistic insights. The investigators hope to obtain operational and pilot data for larger future studies.

shuwachosicrinacrechathespuslupradrisasubreslo
Dr. Eugene Yuriditsky

– Commentary by Eugene Yuriditsky, MD, FCCP, Member of the CHEST Physician Editorial Board

 

Journal CHEST®

Does Rheumatoid Arthritis Increase the Risk of COPD? 

By: Chiwook Chung, MD, and colleagues

This study utilizing the Korean National Health Insurance Database suggests that patients with rheumatoid arthritis (RA) face a significantly higher risk of developing COPD compared with the general population. Notably, individuals with seropositive RA exhibit a greater risk of COPD onset than those with seronegative RA. Although smoking history didn’t affect the relationship between RA and COPD, monitoring respiratory symptoms and pulmonary function in patients with RA, especially patients who are seropositive, is crucial. These findings underscore the importance of interdisciplinary collaboration between rheumatologists and pulmonologists to enhance early detection and management strategies for pulmonary complications in patients with RA.

biludashiswochenilashuphuthalostituhidonakecuchemislitodrinacisitucracaphimuwriclubesladruletefreniteslevopunatrethewrophoclidisluwrohachepriwrudatroguchalushuraswodestiwraswakafricleswasloslawreswifrinahaswawrigislurushefribaka
Dr. Corinne Young


– Commentary by Corinne Young, MSN, FNP-C, FCCP, Member of the CHEST Physician® Editorial Board

CHEST Pulmonary®

The Lung Cancer Prediction Model “Stress Test” 

By: Brent E. Heideman, MD, and colleagues

Current lung cancer prediction models have limited utility in high-risk patients referred for diagnostic biopsy. In a study of 322 indeterminate pulmonary nodules, the Brock, Mayo Clinic, Herder, and Veterans Affairs models showed modest discrimination between benign and malignant nodules (AUCs 0.67-0.77). The models performed poorly for low-risk patients (negative predictive values 63%-71%) and suboptimally for high-risk patients (positive predictive values 73%-87%), suggesting referring physicians use additional clinical information not captured in these models to identify high-risk patients needing biopsy. New prediction models and biomarkers specifically developed and calibrated for high-risk populations are needed to better inform clinical decision-making. Incorporating interval imaging to assess changes in nodule characteristics could potentially improve model performance. Tailored risk assessment tools are crucial for optimizing management and reducing unnecessary invasive procedures in this challenging patient population.

pijuhubrukos
Dr. Russell Miller


– Commentary by Russell Miller, MD, Member of the CHEST Physician Editorial Board

CHEST Critical Care ®

Characterizing Cardiac Function in ICU Survivors of Sepsis 

By: Kevin Garrity, MBChB, and colleagues

While chronic cardiac dysfunction is one of the proposed mechanisms of long-term impairment post critical illness, its prevalence, mechanisms, and associations with disability following admission for sepsis are not well understood. Garrity and colleagues describe the Characterization of Cardiovascular Function in ICU Survivors of Sepsis (CONDUCT-ICU) protocol, a prospective study including two ICUs in Scotland aimed to better define cardiovascular dysfunction in survivors of sepsis. Designed to enroll 69 patients, demographics, cardiac and inflammatory biomarkers, and echocardiograms will be obtained on ICU discharge with additional laboratory data, cardiac magnetic resonance imaging, and patient-reported outcome measures to be obtained at 6 to 10 weeks. This novel multimodal approach will provide understanding into the role of cardiovascular dysfunction following critical illness as well as offer mechanistic insights. The investigators hope to obtain operational and pilot data for larger future studies.

shuwachosicrinacrechathespuslupradrisasubreslo
Dr. Eugene Yuriditsky

– Commentary by Eugene Yuriditsky, MD, FCCP, Member of the CHEST Physician Editorial Board

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Top reads from the CHEST journal portfolio
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Although smoking history didn’t affect the relationship between RA and COPD, monitoring respiratory symptoms and pulmonary function in patients with RA, especially patients who are seropositive, is crucial. 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Heideman, MD, and colleagues</em><br/><br/>Current lung cancer prediction models have limited utility in high-risk patients referred for diagnostic biopsy. In a study of 322 indeterminate pulmonary nodules, the Brock, Mayo Clinic, Herder, and Veterans Affairs models showed modest discrimination between benign and malignant nodules (AUCs 0.67-0.77). The models performed poorly for low-risk patients (negative predictive values 63%-71%) and suboptimally for high-risk patients (positive predictive values 73%-87%), suggesting referring physicians use additional clinical information not captured in these models to identify high-risk patients needing biopsy. New prediction models and biomarkers specifically developed and calibrated for high-risk populations are needed to better inform clinical decision-making. Incorporating interval imaging to assess changes in nodule characteristics could potentially improve model performance. 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