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Bronchoscopic sampling of pulmonary lesions suspicious for lung cancer is frequently nondiagnostic. A genomic sequencing classifier utilizing bronchial brushings obtained at the time of the bronchoscopy has been shown to provide an accurate reclassification of the risk of malignancy (ROM) based on pre-procedure risk. Our objectives for this study were to determine the frequency with which the classifier up- or down-classifies risk in regular clinical practice and to model the potential clinical utility of that reclassification.This observational study retrospectively assessed data from four clinical sites that regularly use the genomic classifier in the bronchoscopic evaluation of indeterminate lesions. Demographics and pre-bronchoscopy ROM were recorded. The frequency of up- and down-classification was calculated. Modeling based on reclassification rates and the performance characteristics of the classifier was performed to demonstrate the potential clinical utility of the result.86 patients who underwent classifier testing following a nondiagnostic bronchoscopy were included. 45% of patients with high ROM prior to bronchoscopy were reclassified very high-risk. 38% of patients with intermediate ROM were up-or down-classified. 56% of patients with low ROM were reclassified to very low-risk. Overall, 42% of patients had a change in classification. 35% of the study cohort could potentially have avoided additional unnecessary procedures with subsequent guideline-adherent management.The classifier can guide decision-making following a nondiagnostic bronchoscopy, reclassifying risk in a significant percentage of cases. Use of the classifier should allow more patients with early-stage cancer to proceed directly to curative therapy while helping more patients with benign disease avoid further unnecessary procedures.

Background Sarcoidosis is a granulomatous inflammatory disease with limited blood markers to predict outcomes. The interferon-gamma (IFN-γ)-inducible chemotactic cytokines (chemokines), CXCL9 and CXCL10, are both increased in sarcoidosis patients, yet they possess important molecular differences. Our study determined if serum chemokines correlated with different aspects of disease severity. Methods We measured CXCL9 and CXCL10 serum levels at initial study visits and longitudinally in sarcoidosis subjects using ELISA. We examined these chemokines’ relationships with pulmonary and organ involvement outcomes, their gene expression, peripheral blood immune cell populations, and immunosuppression use. Results Higher CXCL10 levels negatively correlated with FVC, TLC, and DLCO at subjects’ initial visit and when measured repeatedly over two years. CXCL10 also positively correlated with longitudinal respiratory symptom severity. Additionally, for every log10(CXCL10) increase, the risk of longitudinal pulmonary function decline increased 8.8 times over the 5-year study period (95% CI 1.6–50, p = 0.014, log10(CXCL0) range 0.84–2.7). In contrast, CXCL9 levels positively correlated with systemic organ involvement at initial study visit (1.5 additional organs involved for every log10(CXCL9) increase, 95% CI 1.1–2.0, p = 0.022, log10(CXCL9) range 1.3–3.3). CXCL10, not CXCL9, positively correlated with its own blood gene expression and monocyte level. Immunosuppressive treatment was associated with lower levels of both chemokines. Conclusions In sarcoidosis subjects, serum CXCL9 levels correlated with systemic organ involvement and CXCL10 levels strongly correlated with respiratory outcomes, which may ultimately prove helpful in clinical management. These differing associations may be due to differences in cellular regulation and tissue origin.

Sarcoidosis is a systemic inflammatory disease associated with myriad symptoms, including fatigue. It can affect physiological processes like sleep, leading to poor sleep quality and excessive daytime sleepiness. We hypothesized that sarcoidosis patients would report more severe sleep disturbance than healthy controls and that relationships would be found with sleep disturbance and the severity of other symptoms.We enrolled 84 sarcoidosis patients and 30 healthy controls and recorded demographic and clinical characteristics. Self-report measures were used to assess sleep disturbance, psychosocial symptoms, and quality of life at enrollment and longitudinally. Relationships between different self-report outcomes were analyzed using correlation statistics.Using the General Sleep Disturbance Scale, 54% of sarcoidosis patients reported frequent and occasional sleep disturbance compared to only 17% of healthy controls (p 0.0001). This significant increase in sleep disturbance found in sarcoidosis patients strongly correlated with multiple psychosocial symptoms, including fatigue, depression, and cognitive dysfunction, and negatively impacted quality of life (p 0.01). Traditional measures of sarcoidosis disease severity or activity were not associated with sleep disturbance. Sleep disturbance scores remained stable at follow-up (mean time between first and last administration of questionnaire was 17.3 months) in 56 of the sarcoidosis patients.Sarcoidosis patients experienced significant sleep disturbance that correlated with higher levels of fatigue, depression, and cognitive dysfunction, and poorer quality of life. These associations were present regardless of disease severity or activity and result in decrements in quality of life and mental health.