Predictors of response to endoscopic management of subglottic/tracheal stenosis in patients without tracheostomy.

INTRODUCTION: Subglottic and tracheal stenosis (SGTS) in adults is an acquired or idiopathic condition that can lead to dyspnea, and even life-threatening airway obstruction. Endoscopic techniques have advanced and largely eclipsed open surgery, with open surgery now reserved for refractory cases (Hseu et al., 2013; Feinstein et al., 2017). Currently, there is no accepted guideline for the endoscopic treatment of SGTS. Thus, the aim of the present study is to examine the impact of various clinical and pathological characteristics on outcomes to endoscopic treatment in a cohort of SGTS patients. DISCLOSURE: None of the authors have any financial or personal relationship that could cause a conflict of interest regarding this article. METHODS: Retrospective chart review was performed for 41 patients presenting with SGS without a tracheostomy over a 4-year-period (2018-2022), within a single tertiary care center. Quantitative outcomes including number of dilation procedures undergone and need for open procedures were examined. The qualitative variables included a history of pulmonary disease, prior tracheostomy/tracheal resection, presence of tracheomalacia, granulation tissue, excessive dynamic airway collapse (EDAC), and etiology of idiopathic subglottic stenosis. RESULTS: The presence of granulation tissue seen on tracheoscopy was associated with a higher number (4+) of dilation procedures (p = 0.01). A history of pulmonary disease (p = 0.037), the presence of tracheomalacia (p = 0.039), and the presence of granulation tissue (0.003) were all associated with a need for open procedures. CONCLUSION: Patients with the presence of granulation tissue, tracheomalacia, and a history of pulmonary disease were more associated with more severe disease requiring either a higher number of endoscopic procedures or need for open procedures.

T-cell cellular stress and reticulocyte signatures, but not loss of naïve T lymphocytes, characterize severe COVID-19 in older adults.

In children and younger adults up to 39 years of age, SARS-CoV-2 usually elicits mild symptoms that resemble the common cold. Disease severity increases with age starting at 30 and reaches astounding mortality rates that are ~330 fold higher in persons above 85 years of age compared to those 18-39 years old. To understand age-specific immune pathobiology of COVID-19, we have analyzed soluble mediators, cellular phenotypes, and transcriptome from over 80 COVID-19 patients of varying ages and disease severity, carefully controlling for age as a variable. We found that reticulocyte numbers and peripheral blood transcriptional signatures robustly correlated with disease severity. By contrast, decreased numbers and proportion of naïve T-cells, reported previously as a COVID-19 severity risk factor, were found to be general features of aging and not of COVID-19 severity, as they readily occurred in older participants experiencing only mild or no disease at all. Single-cell transcriptional signatures across age and severity groups showed that severe but not moderate/mild COVID-19 causes cell stress response in different T-cell populations, and some of that stress was unique to old severe participants, suggesting that in severe disease of older adults, these defenders of the organism may be disabled from performing immune protection. These findings shed new light on interactions between age and disease severity in COVID-19.

T-cell cellular stress and reticulocyte signatures, but not loss of naïve T lymphocytes, characterize severe COVID-19 in older adults.

In children and younger adults up to 39 years of age, SARS-CoV-2 usually elicits mild symptoms that resemble the common cold. Disease severity increases with age starting at 30 and reaches astounding mortality rates that are ~330 fold higher in persons above 85 years of age compared to those 18-39 years old. To understand age-specific immune pathobiology of COVID-19 we have analyzed soluble mediators, cellular phenotypes, and transcriptome from over 80 COVID-19 patients of varying ages and disease severity, carefully controlling for age as a variable. We found that reticulocyte numbers and peripheral blood transcriptional signatures robustly correlated with disease severity. By contrast, decreased numbers and proportion of naïve T-cells, reported previously as a COVID-19 severity risk factor, were found to be general features of aging and not of COVID-19 severity, as they readily occurred in older participants experiencing only mild or no disease at all. Single-cell transcriptional signatures across age and severity groups showed that severe but not moderate/mild COVID-19 causes cell stress response in different T-cell populations, and some of that stress was unique to old severe participants, suggesting that in severe disease of older adults, these defenders of the organism may be disabled from performing immune protection. These findings shed new light on interactions between age and disease severity in COVID-19.