Respiratory failure is a significant concern in neuromuscular diseases (NMDs). This CHEST guideline examines the literature on the respiratory management of patients with NMD to provide evidence-based recommendations.

The diagnosis, prognostication, and differentiation of phenotypes of COPD can be facilitated by CT scan imaging of the chest. CT scan imaging of the chest is a prerequisite for lung volume reduction surgery and lung transplantation. Quantitative analysis can be used to evaluate extent of disease progression. Evolving imaging techniques include micro-CT scan, ultra-high-resolution and photon-counting CT scan imaging, and MRI. Potential advantages of these newer techniques include improved resolution, prediction of reversibility, and obviation of radiation exposure. This article discusses important emerging techniques in imaging patients with COPD. The clinical usefulness of these emerging techniques as they stand today are tabulated for the benefit of the practicing pulmonologist.

The COVID-19 pandemic has led to unprecedented mental health disturbances, burnout, and moral distress among health care workers, affecting their ability to care for themselves and their patients.

COPD is a condition characterized by chronic airflow obstruction resulting from chronic bronchitis, emphysema, or both. The clinical picture is usually progressive with respiratory symptoms such as exertional dyspnea and chronic cough. For many years, spirometry was used to establish a diagnosis of COPD. Recent advancements in imaging techniques allow quantitative and qualitative analysis of the lung parenchyma as well as related airways and vascular and extrapulmonary manifestations of COPD. These imaging methods may allow prognostication of disease and shed light on the efficacy of pharmacologic and nonpharmacologic interventions. This is the first of a two-part series of articles on the usefulness of imaging methods in COPD, and it highlights useful information that clinicians can obtain from these imaging studies to make more accurate diagnosis and therapeutic decisions.

Respiratory therapists (RTs) are credentialed health professionals who specialize in assessment of pulmonary conditions, performing assessment of pulmonary function and delivering pulmonary therapeutics including aerosol therapy, and noninvasive and invasive mechanical ventilation. Respiratory therapists work closely with various clinicians including physicians, nurses, and therapy staff in a number of different settings including outpatient clinics, long-term facilities, EDs, and ICUs. RTs are integral in the treatment of patients with several acute and chronic conditions. In this review, we outline the importance, the elements of, and an approach to building a comprehensive RT program that allows delivery of high-quality care while ensuring RTs practice at the full scope of their licensure. Over the last two decades, we have implemented a suite of changes to the training, functioning, deployment, continuing education, and capacity building in our Lung Partners Program practice, under the supervision of a medical director, that have allowed us to create an effective inpatient and outpatient model of primary respiratory care.

Modern sleep specialists are taught that, before the twentieth century, sleep was universally classified as a passive phenomenon with minimal to no brain activity. However, these assertions are made on the basis of particular readings and reconstructions of the history of sleep, using Western European medical works and ignoring works composed in other parts of the world. In this first of two articles on Arabic medical discussions on sleep, I shall show that sleep was not understood to be a purely passive phenomenon, at least from the time of Ibn Sīnā (lat. Avicenna, d. 1037) onward. Building on the earlier Greek medical tradition, Ibn Sīnā provided a new pneumatic understanding of sleep that allowed him to explain previously recorded phenomena associated with sleep, while providing a way to capture how certain parts of the brain (and body) can even increase their activities during sleep.

CT scan imaging provides high-resolution images of the lungs in patients with chronic respiratory diseases. Extensive research over the last several decades has focused on developing novel quantitative CT scan airway measurements that reflect abnormal airway structure. Despite many observational studies demonstrating that associations between CT scan airway measurements and clinically important outcomes such as morbidity, mortality, and lung function decline, few quantitative CT scan measurements are applied in clinical practice. This article provides an overview of the relevant methodologic considerations for implementing quantitative CT scan airway analyses and provides a review of the scientific literature involving quantitative CT scan airway measurements used in clinical or randomized trials and observational studies of humans. We also discuss emerging evidence for the clinical usefulness of quantitative CT scan imaging of the airways and discuss what is required to bridge the gap between research and clinical application. CT scan airway measurements continue to improve our understanding of disease pathophysiologic features, diagnosis, and outcomes. However, a literature review revealed a need for studies evaluating clinical benefit when quantitative CT scan imaging is applied in the clinical setting. Technical standards for quantitative CT scan imaging of the airways and high-quality evidence of clinical benefit from management guided by quantitative CT scan imaging of the airways are required.

There is expansive literature documenting the presence of health disparities, but there are disproportionately few studies describing interventions to reduce disparity. In this narrative review, we categorize interventions to reduce health disparity in pulmonary disease within the US health care system to support future initiatives to reduce disparity. We identified 211 articles describing interventions to reduce disparity in pulmonary disease related to race, income, or sex. We grouped the studies into the following four categories: biologic, educational, behavioral, and structural. We identified the following five main themes: (1) there were few interventional trials compared with the breadth of studies describing health disparities, and trials involving patients with asthma who were Black, low income, and living in an urban setting were overrepresented; (2) race or socioeconomic status was not an effective marker of individual pharmacologic treatment response; (3) telehealth enabled scaling of care, but more work is needed to understand how to leverage telehealth to improve outcomes in marginalized communities; (4) future interventions must explicitly target societal drivers of disparity, rather than focusing on individual behavior alone; and (5) individual interventions will only be maximally effective when specifically tailored to local needs. Much work has been done to catalog health disparities in pulmonary disease. Notable gaps in the identified literature include few interventional trials, the need for research in diseases outside of asthma, the need for high quality effectiveness trials, and an understanding of how to implement proven interventions balancing fidelity to the original protocol and the need to adapt to local barriers to care.

The National Board for Respiratory Care credentials general respiratory therapists and therapists specializing in pulmonary function testing, neonatal/pediatrics, sleep, and adult critical care. A sponsor of the NBRC requested a new specialty certification program. The request came with the intent to serve a candidate population from multidisciplinary backgrounds (eg, nurse, nurse practitioner, physician assistant) in addition to respiratory therapists. This article describes the policy that governed the response along with details about two evaluations: a viability study and a personnel study. The research question for the viability study was as follows: Is a new pulmonary disease educator certification program desirable and feasible? After an affirmative outcome from the viability study indicated interest in a new certification program, the research question for the personnel study was as follows: Were there enough potential candidates from multidisciplinary backgrounds to support a new program that would certify pulmonary disease educators? Access to 10 databases was secured to solicit personnel from multidisciplinary backgrounds, netting up to 240,000 potential survey respondents. After pilot testing, one survey was distributed to those with managerial/supervisory relationships with pulmonary disease educators; 407 such personnel responded. A second survey was simultaneously distributed to those directly working in the pulmonary disease educator role; 3,095 responded. Results from both surveys, including the limitations, were summarized for the NBRC, which decided against continued development of the program. A pulmonary disease educator certification program was subjectively desirable and feasible; however, there did not objectively seem to be enough potential candidates to support the program.

Although interstitial lung disease (ILD) is a leading cause of morbidity and mortality in patients with inflammatory myopathies, the current definition and diagnostic criteria of autoimmune myositis remain inadequate to capture the large proportion of patients with lung-dominant disease. As a result, these patients present unique diagnostic and treatment challenges for even the most experienced clinicians. This article highlights the emerging role of autoantibodies in the diagnosis, classification, and management of patients with ILD. We propose alternative nomenclature to facilitate research on this unique patient population. Additionally, evidence supporting the various therapies used in the treatment of myositis-associated ILD is reviewed. The classification and treatment of patients with myositis-associated ILD remains challenging. A standardized therapeutic approach to these patients is lacking, and prospective studies in the field are needed to determine optimal treatment regimens.

Epinephrine is the most commonly used drug in out-of-hospital cardiac arrest (OHCA) resuscitation, but evidence supporting its efficacy is mixed.

The association between breathing sounds and respiratory health or disease has been exceptionally useful in the practice of medicine since the advent of the stethoscope. Remote patient monitoring technology and artificial intelligence offer the potential to develop practical means of assessing respiratory function or dysfunction through continuous assessment of breathing sounds when patients are at home, at work, or even asleep. Automated reports such as cough counts or the percentage of the breathing cycles containing wheezes can be delivered to a practitioner via secure electronic means or returned to the clinical office at the first opportunity. This has not previously been possible. The four respiratory sounds that most lend themselves to this technology are wheezes, to detect breakthrough asthma at night and even occupational asthma when a patient is at work; snoring as an indicator of OSA or adequacy of CPAP settings; cough in which long-term recording can objectively assess treatment adequacy; and crackles, which, although subtle and often overlooked, can contain important clinical information when appearing in a home recording. In recent years, a flurry of publications in the engineering literature described construction, usage, and testing outcomes of such devices. Little of this has appeared in the medical literature. The potential value of this technology for pulmonary medicine is compelling. We expect that these tiny, smart devices soon will allow us to address clinical questions that occur away from the clinic.

Monocyte distribution width (MDW) is an emerging biomarker for infection. It is available easily and quickly as part of the CBC count, which is performed routinely on hospital admission. The increasing availability and promising results of MDW as a biomarker in sepsis has prompted an expansion of its use to other infectious diseases.

Portopulmonary hypertension (POPH) affects 5% to 6% of patients with advanced liver disease and accounts for 5% to 15% of pulmonary arterial hypertension (PAH) cases. Compared with idiopathic PAH, POPH is associated with significantly worse survival. Recent studies have improved our understanding of the role of both PAH therapy and liver transplantation (LT) in the management of POPH and their impact on overall prognosis. We performed a review of the published literature to summarize the available evidence and guidelines regarding the diagnosis and management of POPH. POPH is defined by the presence of precapillary pulmonary hypertension in the context of portal hypertension. POPH is associated with increased perioperative risk at the time of LT, which can be stratified by mean pulmonary arterial pressure and pulmonary vascular resistance. Screening with echocardiography is recommended in all LT candidates to facilitate detection and treatment of POPH. Despite a paucity of evidence, POPH is treated similarly to idiopathic PAH with PAH therapy. These therapies are associated with improved pulmonary hemodynamics and facilitation of safe LT. LT can result in improvement or resolution of POPH in one-half of patients and has been associated with improved survival in highly selected patients. In summary, the prognosis in POPH is poor and is impacted by the severity of both pulmonary hypertension and liver disease. Management with a combination of PAH therapy and LT in selected patients has been associated with improved pulmonary hemodynamics and survival.

Interprofessional team conflict amplifies division and impedes patient care. Normal differences of opinion escalate to frank conflicts when members respond with indignation or resentment. These behaviors engender a workplace culture that degrades collaborative clinical management and patient safety. We describe the impacts of dysfunctional team culture along with interventions that can lead to more productive teams. In our case study, an interprofessional group of critical care clinicians recognized that their interactions impaired collaborative care and requested support. Two experts, a nurse and a physician, facilitated two 2-h workshops with 18 critical care physicians, nurses, and fellows to begin transforming their dysfunctional unit culture. After establishing psychological safety, facilitators introduced the learning pathways grid to explore (1) how faulty assumptions lead to dysfunctional interactions and suboptimal results and (2) how new assumptions informed by new insights enable teams to redesign their interactions. Through reflection and analysis, clinicians concluded that understanding other clinicians' goals and perspectives benefits patients and families, helps clinicians feel valued, and fosters mutual trust. This exercise supports interprofessional teams to transform dysfunctional interactions by helping team members to develop a mindset of humility and inquiry and to remind themselves about the good intentions in others. To address conflict, we offer a conversational approach grounded in curiosity, respect, and transparency. Ultimately, the most important communication strategy for effective critical care is caring about the perspectives and experiences of other members of the interprofessional team.

Value-based care aims to improve the health outcomes of patients, eliminate waste and unwarranted clinical variation, and reduce the total cost of care. Professional medical societies have put forward guidelines to raise awareness on unproven practice patterns (Choosing Wisely Campaign), and payers have sought to replace the traditional fee-for-service payment models with value-based contracts that share financial gains or losses based on achieving high-quality outcomes and lowering the cost of care. Regardless of whether their practices are engaged in value-based arrangements, chest physicians should seek understanding of these principles, participate in designing and implementing practical and impactful high-value initiatives in their practices, and have a national voice on the path forward.

Chest radiography (CXR) continues to be the most frequently performed imaging examination worldwide, yet it remains prone to frequent errors in interpretation. These pose potential adverse consequences to patients and are a leading motivation for medical malpractice lawsuits. Commonly missed CXR findings and the principal causes of these errors are reviewed and illustrated. Perceptual errors are the predominant source of these missed findings. The medicolegal implications of such errors are explained. Awareness of commonly missed CXR findings, their causes, and their consequences are important in developing approaches to reduce and mitigate these errors.

Chest radiography (CXR), the most frequently performed imaging examination, is vulnerable to interpretation errors resulting from commonly missed findings. Methods to reduce these errors are presented. A practical approach using a systematic and comprehensive visual search strategy is described. The use of a checklist for quality control in the interpretation of CXR images is proposed to avoid overlooking commonly missed findings of clinical importance. Artificial intelligence is among the emerging and promising methods to enhance detection of CXR abnormalities. Despite their potential adverse consequences, errors offer opportunities for continued education and quality improvements in patient care, if managed within a just, supportive culture.

Acute chest syndrome (ACS) is a leading cause of death in patients with sickle cell disease. Lung ultrasound (LUS) is emerging as a point-of-care method to diagnose ACS, allowing for more rapid diagnosis in the ED setting and sparing patients from ionizing radiation exposure.

Over recent years, positive airway pressure (PAP) remote monitoring has transformed the management of OSA and produced a large amount of data. Accumulated PAP data provide valuable and objective information regarding patient treatment adherence and efficiency. However, the majority of studies that have analyzed longitudinal PAP remote monitoring have summarized data trajectories in static and simplistic metrics for PAP adherence and the residual apnea-hypopnea index by the use of mean or median values. The aims of this article are to suggest directions for improving data cleaning and processing and to address major concerns for the following data science applications: (1) conditions for residual apnea-hypopnea index reliability, (2) lack of standardization of indicators provided by different PAP models, (3) missing values, and (4) consideration of treatment interruptions. To allow fair comparison among studies and to avoid biases in computation, PAP data processing and management should be conducted rigorously with these points in mind. PAP remote monitoring data contain a wealth of information that currently is underused in the field of sleep research. Improving the quality and standardizing data handling could facilitate data sharing among specialists worldwide and enable artificial intelligence strategies to be applied in the field of sleep apnea.