Molecular Clustering Analysis of Blood Biomarkers in World Trade Center Exposed Community Members with Persistent Lower Respiratory Symptoms.

The destruction of the World Trade Center (WTC) on September 11, 2001 (9/11) released large amounts of toxic dusts and fumes into the air that exposed many community members who lived and/or worked in the local area. Many community members, defined as WTC survivors by the federal government, developed lower respiratory symptoms (LRS). We previously reported the persistence of these symptoms in patients with normal spirometry despite treatment with inhaled corticosteroids and/or long-acting bronchodilators. This report expands upon our study of this group with the goal to identify molecular markers associated with exposure and heterogeneity in WTC survivors with LRS using a selected plasma biomarker approach. Samples from WTC survivors with LRS (n = 73, WTCS) and samples from healthy control participants of the NYU Bellevue Asthma Registry (NYUBAR, n = 55) were compared. WTCS provided information regarding WTC dust exposure intensity. Hierarchical clustering of the linear biomarker data identified two clusters within WTCS and two clusters within NYUBAR controls. Comparison of the WTCS clusters showed that one cluster had significantly increased levels of circulating matrix metalloproteinases (MMP1, 2, 3, 8, 12, 13), soluble inflammatory receptors (receptor for advanced glycation end-products-RAGE, Interleukin-1 receptor antagonist (IL-1RA), suppression of tumorigenicity (ST)2, triggering receptor expressed on myeloid cells (TREM)1, IL-6Ra, tumor necrosis factor (TNF)RI, TNFRII), and chemokines (IL-8, CC chemokine ligand- CCL17). Furthermore, this WTCS cluster was associated with WTC exposure variables, ash at work, and the participant category workers; but not with the exposure variable WTC dust cloud at 9/11. A comparison of WTC exposure categorial variables identified that chemokines (CCL17, CCL11), circulating receptors (RAGE, TREM1), MMPs (MMP3, MMP12), and vascular markers (Angiogenin, vascular cell adhesion molecule-VCAM1) significantly increased in the more exposed groups. Circulating biomarkers of remodeling and inflammation identified clusters within WTCS and were associated with WTC exposure.

Sleep Medicine Milestones 2.0: designed for our field.

NONE: The Accreditation Council for Graduate Medical Education published the first sleep medicine milestones in 2015. However, these milestones were the same among all internal medicine fellowship programs; they were not specific to the specialty. Based on stakeholder feedback, the Accreditation Council for Graduate Medical Education called for the creation of specialty-specific milestones. Herein, we outline the history of Accreditation Council for Graduate Medical Education reporting milestones; the identification of knowledge, skills, and attitudes that define the practice of sleep medicine; and the creation of the supplemental guide and sleep medicine-specific milestones (Sleep Medicine Milestones 2.0) to assess developmental progression during fellowship training.

Addressing Burnout Syndrome From a Critical Care Specialty Organization Perspective.

BACKGROUND: Health care specialty organizations are an important resource for their membership; however, it is not clear how specialty societies should approach combating stress and burnout on an organizational scale. OBJECTIVE: To understand the prevalence of burnout syndrome in American Thoracic Society members, identify specialty-specific risk factors, and generate strategies for health care societies to combat burnout. METHODS: Cross-sectional, mixed-methods survey in a sample of 2018 American Thoracic Society International Conference attendees to assess levels of burnout syndrome, work satisfaction, and stress. RESULTS: Of the 130 respondents, 69% reported high stress, 38% met burnout criteria, and 20% confirmed chaotic work environments. Significant associations included sex and stress level; clinical time and at-home electronic health record work; and US practice and at-home electronic health record work. There were no significant associations between burnout syndrome and the selected demographics. Participants indicated patient care as the most meaningful aspect of work, whereas the highest contributors to burnout were workload and electronic health record documentation. Importantly, most respondents were unaware of available resources for burnout. CONCLUSIONS: Health care specialty societies have access to each level of the health system, creating an opportunity to monitor trends, disseminate resources, and influence the direction of efforts to reduce workplace stress and enhance clinician well-being.

Super Obesity in the Medical Intensive Care Unit.

BACKGROUND: Studies exploring the effect of body mass index (BMI) on outcomes in the intensive care unit (ICU) have yielded mixed results, with few studies assessing patients at the extremes of obesity. We sought to understand the clinical characteristics and outcomes of patients with super obesity (BMI > 50 kg/m2) as compared to morbid obesity (BMI > 40 kg/m2) and obesity (BMI > 30 kg/m2). METHODS: A retrospective review of patients admitted to the Los Angeles County + University of Southern California medical intensive care unit (MICU) service between 2008 and 2013 was performed. The first 150 patients with BMI 30 to 40, 40 to 50, and 50+ were separated into groups. Demographic data, comorbid conditions, reason for admission, Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, serum bicarbonate, and arterial carbon dioxide pressure (Pco 2) at admission were collected. Hospital and ICU length of stay (LOS), discharge disposition, mortality, use of mechanical ventilation (invasive and noninvasive), use of radiography, and other clinical outcomes were also recorded. RESULTS: There was no difference in age, sex, and APACHE II score among the 3 groups. A pulmonary etiology was the most common reason for admission in the higher BMI categories (P < .001). There was no difference in mortality among the groups. Intensive care unit and hospital LOS rose with increasing BMI (P < .001). Patients admitted for pulmonary etiologies and higher BMIs had an increased ICU and hospital LOS (P < .001). Super obese patients used significantly more noninvasive mechanical ventilation (NIMV, P < .001). There were no differences in the use of invasive mechanical ventilation across the groups. CONCLUSION: Super obese patients are most commonly admitted to the MICU with pulmonary diagnoses and have an increased use of noninvasive ventilation. Super obesity was not associated with increased ICU mortality. Clinicians should be prepared to offer NIMV to super obese patients and anticipate a longer LOS in this group.