Depression in Primary Care, 2010-2018.

BACKGROUND: Depression is common in primary care and significantly reduces quality of life. Our study aimed to examine the prevalence of depression in primary care visits, examine patterns of depression treatment and referral, and determine how often depression screening occurred over an 8-year timespan. METHODS: From the 2010-2018 National Ambulatory Medical Care Survey, a national probability sample of non-federal, ambulatory encounters, we identified adults being seen in a primary care clinic. We assessed the prevalence of depression screening, diagnosis, and treatment. RESULTS: During these 8 years, 13.1% of primary care encounters involved a patient with a diagnosis of depression. The prevalence of depression did not change over time. Patients were screened for depression 4.1% of the time, with screening increasing over time. Depression was more likely to be diagnosed when screening occurred (odds ratio 9.9; 95% confidence interval, 6.8-14.5%). Most patients were treated with a selective serotonin reuptake inhibitor. CONCLUSION: Depression is common in primary care, though screening was infrequent. Practices should consider instituting universal screening.

Does Race Influence Risk Assessment and Recommendations for Lung Resection? A Randomized Trial.

BACKGROUND: Racial disparities in use of surgical therapy for lung cancer exist in the United States. Videos of standardized patients (SPs) can help identify factors that influence physicians' surgical risk estimation. We hypothesized that physician race and SP race in videos influence surgeon decision making. METHODS: Four race-neutral clinical vignettes representing lung resection candidates were paired with risk-level concordant short silent videos of SPs. Vignette/video combinations were classified as low or high risk. Trainees and practicing thoracic surgeons read a race-neutral vignette, provided an initial estimate of the percentage risk of major surgical complications, viewed a video randomized to a black or white SP, provided a final estimate of risk, and scored the likelihood that they would recommend operative therapy. Changes in risk estimates were assessed. RESULTS: Participants included 113 surgeons (38 practicing surgeons, 75 trainees); of these, 76 were white non-Hispanic (67%), and 37 were other self-identified racial categories. Percentage changes between initial and final risk estimates were not significantly related to patient race (p = 0.11) or surgeon race (white versus other; p = 0.52). Videos of black SPs were associated with a similar likelihood of recommending an operation compared with that of videos of white SPs (p = 0.90). Physician race (white versus other) was not related to the likelihood of recommending surgical intervention (p = 0.79). CONCLUSIONS: Neither patient nor physician race was significantly associated with risk estimation or surgical recommendations. These findings do not provide an explanation for documented racial disparities in lung cancer therapy. Further investigation is needed to identify the mechanism underlying these disparities.

Predictors of survival in coexistent hypersensitivity pneumonitis with autoimmune features.

BACKGROUND: Hypersensitivity pneumonitis (HP), an immune-mediated inflammatory interstitial lung disease (ILD), can result from exposure to several well-recognized antigens. Despite antigen avoidance, progressive pulmonary fibrosis and death can occur, suggesting that additional factors may contribute to disease activity. We hypothesized that the presence of autoimmunity might impact clinical course in patients with HP. In this study, we examined an HP cohort to identify those with HP and autoimmune features (HPAF), and determine its prevalence and outcomes. METHODS: The University of Chicago ILD registry was screened to identify patients with HP. Patients were characterized as HPAF if they had an autoimmune disease or features of autoimmunity, defined as the presence of specific connective tissue disease (CTD) symptoms and serologies. Demographics, clinical characteristics, and outcomes were compared between groups. Survival analysis was performed using Cox regression to identify predictors of transplant-free survival in this cohort. RESULTS: One hundred twenty patients with chronic, fibrotic HP were identified. Of these, 18/120 (15%) were characterized as HPAF. Compared to those without evidence of autoimmunity, patients with HPAF had a higher proportion of females (54% vs. 83%, respectively; p = 0.02) but were otherwise similar with regard to clinical characteristics. The presence of autoimmunity was an independent predictor of increased mortality (HR 4.45; 95% CI 1.43-13.88; p = 0.01) after multivariable adjustment. CONCLUSIONS: Fifteen percent of patients with chronic, fibrotic HP displayed evidence of a concurrent defined autoimmune disease or autoimmune features suggestive of CTD. The presence of autoimmunity in patients with chronic, fibrotic HP may portend a poorer prognosis. Future studies are needed to validate these findings and determine the impact of immunosuppressive treatment.

Benefit of adjunctive tacrolimus in connective tissue disease-interstitial lung disease.

We evaluated the safety and effectiveness of adjunctive tacrolimus therapy with conventional immunosuppression in patients with severe connective tissue disease-related interstitial lung disease (CTD-ILD). We included patients from our interstitial lung disease (ILD) registry with CTD-ILD, in whom tacrolimus was added to corticosteroids and an additional immunosuppressive agent. Demographic data, clinical features, lung function, radiographic images, and pathologic findings were reviewed. Effectiveness was assessed by comparing pulmonary function tests (PFTs) closest to tacrolimus initiation to PFTs approximately 6-12 months later. Corticosteroid dose at these time points was also evaluated. We report adverse events attributed to tacrolimus. Seventeen patients with CTD-ILD were included in adverse event analysis; twelve were included in efficacy analysis. Length of tacrolimus therapy ranged from 6 to 110 months (mean 38.8 months ± 31.4). The mean improvement in percent predicted total lung capacity was 7.5% ± 11.7 (p = 0.02). Forced vital capacity mean improvement was 7.4% ± 12.5 (p = 0.06). The average decrease in corticosteroid dose at follow-up was 20.3 mg ± 25.2 (p = 0.02) with complete discontinuation in six patients. No patients experienced a life-threatening adverse event attributed to tacrolimus. Tacrolimus can be effective and is well tolerated as an adjunctive therapy and allows tapering of corticosteroids.

Thyroid Disease Is Prevalent and Predicts Survival in Patients With Idiopathic Pulmonary Fibrosis.

BACKGROUND: A significant minority of patients with idiopathic pulmonary fibrosis (IPF) display features of autoimmunity without meeting the criteria for overt connective tissue disease. A link between IPF and other immune-mediated processes, such as hypothyroidism (HT), has not been reported. In this investigation, we aimed to determine whether HT is associated with IPF and if outcomes differ between patients with IPF with and without HT. METHODS: A retrospective case-control analysis was conducted. Of 311 patients referred to the University of Chicago Interstitial Lung Disease Center with an initial diagnosis of IPF, 196 met the inclusion criteria and were included in the final analysis. Each case was matched 1:1 by age, sex, and race to a control subject with COPD. RESULTS: HT was identified in 16.8% of cases and 7.1% of control subjects (OR, 2.7; 95% CI, 1.31-5.54; P = .01). Among patients with IPF, HT was associated with reduced survival time (P < .001) and was found to be an independent predictor of mortality in multivariable Cox regression analysis (hazard ratio, 2.12; 95% CI, 1.31-3.43; P = .002). A secondary analysis of two IPF clinical trial datasets supports these findings. CONCLUSIONS: HT is common among patients with IPF, with a higher prevalence than in those with COPD and the general population. The presence of HT also predicts mortality in IPF, a finding that may improve future prognostication models. More research is needed to determine the biologic link between IPF and HT and how the presence of thyroid disease may influence disease progression.

Proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database.

BACKGROUND: In recent years, there has been tremendous growth and interest in translational research, particularly in cancer biology. This area of study clearly establishes the connection between laboratory experimentation and practical human application. Though it is common for laboratory and clinical data regarding patient specimens to be maintained separately, the storage of such heterogeneous data in one database offers many benefits as it may facilitate more rapid accession of data and provide researchers access to greater numbers of tissue samples. DESCRIPTION: The Thoracic Oncology Program Database Project was developed to serve as a repository for well-annotated cancer specimen, clinical, genomic, and proteomic data obtained from tumor tissue studies. The TOPDP is not merely a library-it is a dynamic tool that may be used for data mining and exploratory analysis. Using the example of non-small cell lung cancer cases within the database, this study will demonstrate how clinical data may be combined with proteomic analyses of patient tissue samples in determining the functional relevance of protein over and under expression in this disease. Clinical data for 1323 patients with non-small cell lung cancer has been captured to date. Proteomic studies have been performed on tissue samples from 105 of these patients. These tissues have been analyzed for the expression of 33 different protein biomarkers using tissue microarrays. The expression of 15 potential biomarkers was found to be significantly higher in tumor versus matched normal tissue. Proteins belonging to the receptor tyrosine kinase family were particularly likely to be over expressed in tumor tissues. There was no difference in protein expression across various histologies or stages of non-small cell lung cancer. Though not differentially expressed between tumor and non-tumor tissues, the over expression of the glucocorticoid receptor (GR) was associated improved overall survival. However, this finding is preliminary and warrants further investigation. CONCLUSION: Though the database project is still under development, the application of such a database has the potential to enhance our understanding of cancer biology and will help researchers to identify targets to modify the course of thoracic malignancies.

Generation of comprehensive thoracic oncology database--tool for translational research.

The Thoracic Oncology Program Database Project was created to serve as a comprehensive, verified, and accessible repository for well-annotated cancer specimens and clinical data to be available to researchers within the Thoracic Oncology Research Program. This database also captures a large volume of genomic and proteomic data obtained from various tumor tissue studies. A team of clinical and basic science researchers, a biostatistician, and a bioinformatics expert was convened to design the database. Variables of interest were clearly defined and their descriptions were written within a standard operating manual to ensure consistency of data annotation. Using a protocol for prospective tissue banking and another protocol for retrospective banking, tumor and normal tissue samples from patients consented to these protocols were collected. Clinical information such as demographics, cancer characterization, and treatment plans for these patients were abstracted and entered into an Access database. Proteomic and genomic data have been included in the database and have been linked to clinical information for patients described within the database. The data from each table were linked using the relationships function in Microsoft Access to allow the database manager to connect clinical and laboratory information during a query. The queried data can then be exported for statistical analysis and hypothesis generation.