Young Adult Human Papillomavirus and Influenza Vaccine Coverage: A Comparison Across College Enrollment Status.

To determine human papillomavirus and influenza vaccine coverage among young adults in the US and assess differences in vaccine uptake by college enrollment status, we conducted an online survey of young adults aged 18-26 (n = 417) using Survey Monkey, with recruitment occurring through Amazon's Mechanical Turk (MTurk) platform. We collected data on self-reported preventive health behaviors, including vaccine receipt, current college enrollment status, and other demographics. Overall, 49% of participants reported receiving at least one dose of human papillomavirus vaccine and 57% reported receiving at least one influenza vaccine over the past three years. Vaccine coverage estimates did not differ between college-enrolled and non-enrolled respondents. Low vaccine coverage rates demonstrate the need to improve vaccine strategies for young adults. The strongest predictor of vaccine receipt was having received a provider recommendation. There does not appear to be healthcare utilization differences related to ability to access care through student health or community-based settings. Additional research is needed to develop interventions to improve vaccination coverage among young adults, both currently enrolled and not enrolled in college.

Practice-, Provider-, and Patient-level interventions to improve preventive care: Development of the P3 Model.

For adequate provision of preventive services, there is an interplay between activities at the healthcare practice, healthcare provider, and patient levels of the clinical encounter. Commonly used health promotion and behavior theoretical models address some of these three levels, but none fully account for all three. Building off of key components of many existing theoretical models, including the Health Belief Model, Theory of Planned Behavior/Theory of Reasoned Action, Social Cognitive Theory, Social Ecological Model, and the Systems Model of Clinical Preventive Care, we describe the development of the P3 (Practice-, Provider-, and Patient-level) Model for preventive care interventions. The P3 Model accounts for all three levels of the clinical encounter, and the factors that impact these levels, concurrently. This yields a model for preventive care that is applicable and adaptable to different settings, and that provides a framework for the development, implementation, and evaluation of preventive care promotion interventions. The applicability of the P3 Model is shown through two exemplar preventive care programs - immunization and colorectal cancer screening. The P3 Model allows interventions to be developed and evaluated in a modular approach, to allow more practical refinement and optimization of the intervention.

Highly aligned stromal collagen is a negative prognostic factor following pancreatic ductal adenocarcinoma resection.

Risk factors for pancreatic ductal adenocarcinoma (PDAC) progression after surgery are unclear, and additional prognostic factors are needed to inform treatment regimens and therapeutic targets. PDAC is characterized by advanced sclerosis of the extracellular matrix, and interactions between cancer cells, fibrillar collagen, and other stromal components play an integral role in progression. Changes in stromal collagen alignment have been shown to modulate cancer cell behavior and have important clinical value in other cancer types, but little is known about its role in PDAC and prognostic value. We hypothesized that the alignment of collagen is associated with PDAC patient survival. To address this, pathology-confirmed tissues from 114 PDAC patients that underwent curative-intent surgery were retrospectively imaged with Second Harmonic Generation (SHG) microscopy, quantified with fiber segmentation algorithms, and correlated to patient survival. The same tissue regions were analyzed for epithelial-to-mesenchymal (EMT), α-SMA, and syndecan-1 using complimentary immunohistostaining and visualization techniques. Significant inter-tumoral variation in collagen alignment was found, and notably high collagen alignment was observed in 12% of the patient cohort. Stratification of patients according to collagen alignment revealed that high alignment is an independent negative factor following PDAC resection (p = 0.0153, multivariate). We also found that epithelial expression of EMT and the stromal expression of α-SMA and syndecan-1 were positively correlated with collagen alignment. In summary, stromal collagen alignment may provide additional, clinically-relevant information about PDAC tumors and underscores the importance of stroma-cancer interactions.

Comparison of Picrosirius Red Staining With Second Harmonic Generation Imaging for the Quantification of Clinically Relevant Collagen Fiber Features in Histopathology Samples.

Stromal collagen alignment has been shown to have clinical significance in a variety of cancers and in other diseases accompanied by fibrosis. While much of the biological and clinical importance of collagen changes has been demonstrated using second harmonic generation (SHG) imaging in experimental settings, implementation into routine clinical pathology practice is currently prohibitive. To translate the assessment of collagen organization into routine pathology workflow, a surrogate visualization method needs to be examined. The objective of the present study was to quantitatively compare collagen metrics generated from SHG microscopy and commonly available picrosirius red stain with standard polarization microscopy (PSR-POL). Each technique was quantitatively compared with established image segmentation and fiber tracking algorithms using human pancreatic cancer as a model, which is characterized by a pronounced stroma with reorganized collagen fibers. Importantly, PSR-POL produced similar quantitative trends for most collagen metrics in benign and cancerous tissues as measured by SHG. We found it notable that PSR-POL detects higher fiber counts, alignment, length, straightness, and width compared with SHG imaging but still correlates well with SHG results. PSR-POL may provide sufficient and additional information in a conventional clinical pathology laboratory for certain types of collagen quantification.