Network News
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From decline to resurgence: Rise and response to US and global TB burden
TB prevalence has been rising since 2019, driven by reduced precautions and conflicts, though shorter treatments and strategic plans offer hope for elimination.
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Artificial intelligence and its application in interstitial lung disease
AI shows promise in improving ILD diagnosis, prognosis, and treatment decisions by analyzing complex data and patterns, though certain limitations hinder its clinical adoption.
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Council of Networks: Reflecting on the success of 2024
Former Council of Networks Chair, Margaret Pisani, MD, MPH, FCCP, provides a short recap of what the Networks accomplished last year.
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Extending exercise testing using telehealth monitoring in patients with ILD
The COVID-19 pandemic revolutionized the use of monitoring equipment in general and oxygen saturation monitoring devices as pulse oximeters in specific. Home technology devices such as home spirometry, smart apps, and wearable sensors combined with patient-reported outcome measures are increasingly used to monitor disease progression and medication compliance in addition to routine physical activity. The increasing adoption…
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Major takeaways from the seventh world symposium on PH
The core definition of pulmonary hypertension (PH) remains a mean pulmonary arterial pressure (mPAP) > 20 mm Hg, with precapillary PH defined by a pulmonary arterial wedge pressure (PCWP) ≤ 15 mm Hg and pulmonary vascular resistance (PVR) > 2 Wood units (WU), similar to the 2022 European guidelines.1 2 There was recognition of uncertainty…
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Mechanical power: A missing piece in lung-protective ventilation?
The ARDSNet trial demonstrated the importance of low tidal volume ventilation in patients with ARDS, and we have learned to monitor parameters such as plateau pressure and driving pressure (DP) to ensure lung-protective ventilation. However, severe hypercapnia can occur with low tidal volume ventilation and respiratory rate would often need to be increased. What role does the…
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AI applications in pediatric pulmonary, sleep, and critical care medicine
Artificial intelligence (AI) refers to the science and engineering of making intelligent machines that mimic human cognitive functions, such as learning and problem solving.1AI tools are being increasingly utilized in pediatric pulmonary disease management to analyze the tremendous amount of patient data on environmental and physiological variables and compliance with therapy. Asthma exacerbations in young children…
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Revival of the aspiration vs chest tube debate for PSP
Considerable heterogeneity exists in the management of primary spontaneous pneumothorax (PSP). American and European guidelines have been grappling with this question for decades: What is the best way to manage PSP? A 2023 randomized, controlled trial (Marx et al. AJRCCM) sought to answer this. The study recruited 379 adults aged 18 to 55 years between…
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Prediction models in sepsis
Early recognition is the linchpin of sepsis management, as mortality from sepsis increases by 4% to 9% for every hour that diagnosis and treatment are delayed.1 2 Artificial intelligence (AI) and machine learning (ML) are increasingly featured in discussions and publications about sepsis care. Already ML models are embedded in electronic medical records (EMR), driving…
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The gas stove: Friend or foe?
The kitchen is considered the heart of the home, but recent discoveries have raised concerns about whether this beloved space might also pose hidden health risks. Gas stoves, present in 38% of U.S. homes, generate multiple pollutants including nitrogen dioxide (NO₂), a known respiratory irritant.1 Studies have identified a correlation between NO₂ levels and respiratory…
