Immunomodulatory treatment in unclassifiable interstitial lung disease: A retrospective study of treatment response.

BACKGROUND AND OBJECTIVE: The optimal management of unclassifiable Interstitial lung disease (ILD) remains a challenge. The aim of this study was to describe pulmonary function trajectories for patients treated with immunomodulatory therapy and for untreated patients. METHODS: Clinical information and treatment data were obtained retrospectively at two ILD centres. Pulmonary function data were analysed using (1) mixed effects linear regression models with and without clinical covariates and (2) propensity score matching using gender, age, physiology (GAP) stage, smoking and presence of ground glass opacities. RESULTS: Sixty-five percent of the 249 patients included received corticosteroids and/or other immunomodulators. Treated patients had lower forced vital capacity (FVC) (72% vs. 83% predicted) and diffusing capacity for carbon monoxide (DLco) (44% vs. 60% predicted). In mixed effects linear regression, the adjusted change in FVC was -0.22%, [-0.34; -0.11], and -0.15% [-0.28;-0.012] for DLco. The difference in pulmonary function decline between treated and untreated patients was insignificant, -0.082% per month, [-0.28; 0.11], p = 0.10 for FVC and -0.14% per month, [-0.36; 0.079], p = 0.15, for DLco. In propensity score matched analysis, the difference in change in FVC was 0.039% per month, p = 0.12, and for DLco, 0.0085% per month, p = 0.7. CONCLUSION: The pulmonary function trajectories for treated and untreated patients were parallel, despite treated patients having more severe disease at baseline. The persisting differences between the groups suggest no overall effect, although improvement or stabilization may be seen in some patients. Prospective studies are needed to define subsets of patients with unclassifiable interstitial lung disease and their optimal management.

YouTube-videos for patient education in lymphangioleiomyomatosis?

BACKGROUND: The Internet is commonly used by patients to acquire health information. To date, no studies have evaluated the quality of information available on YouTube regarding lymphangioleiomyomatosis (LAM). Our aim was to determine the quality and content of YouTube videos regarding LAM and to compare the information provided with current knowledge and guidelines about the disease. METHODS: The first 200 video hits on YouTube in English for the search term "lymphangioleiomyomatosis" were recorded. All videos suitable for patient education on LAM were included. Video quality was analyzed independently by two investigators utilizing the Health on the Net (HONcode) score, which assesses whether websites provide understandable, accessible, and trustworthy health information; the DISCERN score, which evaluates the quality of information about treatment decisions; and a newly developed LAM-related content score (LRCS) with 31 guideline elements. RESULTS: The search identified 64 eligible videos. The "engagement rate" of 0.3 was low, with a median number of views of 408 (range 42-73,943), a median of 4 likes (range 0-2082), and the majority (53%) receiving a low HONcode score (≤ 2) and only 10% of videos achieving a high score (> 5). The median DISCERN score was 28 (range 15-61, maximum possible score 80), indicating poor video quality and reliability. The median LRCS was 8 (range 0-29, maximum possible score 31) and videos frequently failed to provide sources of information. CONCLUSIONS: Online resources could contribute to the limited and often inaccurate information available to patients with LAM, with only a few YouTube videos providing high-quality patient-relevant information.

Fully Automated Segmentation of Pulmonary Fibrosis Using Different Software Tools.

OBJECTIVE: Evaluation of software tools for segmentation, quantification, and characterization of fibrotic pulmonary parenchyma changes will strengthen the role of CT as biomarkers of disease extent, evolution, and response to therapy in idiopathic pulmonary fibrosis (IPF) patients. METHODS: 418 nonenhanced thin-section MDCTs of 127 IPF patients and 78 MDCTs of 78 healthy individuals were analyzed through 3 fully automated, completely different software tools: YACTA, LUFIT, and IMBIO. The agreement between YACTA and LUFIT on segmented lung volume and 80th (reflecting fibrosis) and 40th (reflecting ground-glass opacity) percentile of the lung density histogram was analyzed using Bland-Altman plots. The fibrosis and ground-glass opacity segmented by IMBIO (lung texture analysis software tool) were included in specific regression analyses. RESULTS: In the IPF-group, LUFIT outperformed YACTA by segmenting more lung volume (mean difference 242 mL, 95% limits of agreement -54 to 539 mL), as well as quantifying higher 80th (76 HU, -6 to 158 HU) and 40th percentiles (9 HU, -73 to 90 HU). No relevant differences were revealed in the control group. The 80th/40th percentile as quantified by LUFIT correlated positively with the percentage of fibrosis/ground-glass opacity calculated by IMBIO (r = 0.78/r = 0.92). CONCLUSIONS: In terms of segmentation of pulmonary fibrosis, LUFIT as a shape model-based segmentation software tool is superior to the threshold-based YACTA, tool, since the density of (severe) fibrosis is similar to that of the surrounding soft tissues. Therefore, shape modeling as used in LUFIT may serve as a valid tool in the quantification of IPF, since this mainly affects the subpleural space.

Student obesity prevalence and behavioral outcomes for the massachusetts childhood obesity research demonstration project.

OBJECTIVE: To examine changes in prevalence of obesity and target health behaviors (fruit, vegetable, and beverage consumption; physical activity; screen time; sleep duration) among students from communities that participated in the Massachusetts Childhood Obesity Research Demonstration (MA-CORD) project compared to controls. METHODS: MA-CORD was implemented in two low-income communities. School-level prevalence of obesity among students in first, fourth, and seventh grades was calculated for the intervention communities and nine matched control communities pre and post intervention. Fourth- and seventh-grade students' self-reported health behaviors were measured in intervention communities at baseline and post intervention. RESULTS: Among seventh-graders (the student group with greatest intervention exposure), a statistically significant decrease in prevalence of obesity from baseline to post intervention in Community 2 (-2.68%, P = 0.049) and a similar but nonsignificant decrease in Community 1 (-2.24%, P = 0.099) was observed. Fourth- and seventh-grade students in both communities were more likely to meet behavioral targets post intervention for sugar-sweetened beverages (both communities: P < 0.0001) and water (Community 1: P < 0.01; Community 2: P = 0.04) and in Community 2 for screen time (P < 0.01). CONCLUSIONS: This multisector intervention was associated with a modest reduction in obesity prevalence among seventh-graders in one community compared to controls, along with improvements in behavioral targets.