Vascular invasion predicts advanced tumor characteristics in papillary thyroid carcinoma.

BACKGROUND: The clinical impact of vascular invasion in Papillary Thyroid Carcinoma (PTC) is not well understood. Our aim was to determine if there was an association between vascular invasion and other tumor characteristics and patient outcomes in PTC. METHODS: A retrospective chart review was performed of 536 patients with PTC between January 2007-December 2011. Patient demographics, comorbidities, tumor characteristics, and outcomes were collected. RESULTS: Vascular invasion was associated with lymphatic invasion, capsular invasion, extrathyroidal extension, and the presence of positive lymph nodes. Logistic regression revealed that tumor size was a predictor of vascular invasion. Vascular invasion in PTC tumors was associated with higher tumor recurrence rates, but there were no differences in mortality. CONCLUSION: This study indicates that vascular invasion in PTC is associated with other aggressive pathologic features and an increased recurrence rate. For these reasons, vascular invasion should be an important tumor characteristic when determining extent of treatment.

Social Determinants of Health Correlating with Mechanical Ventilation of COVID-19 Patients: A Multi-Center Observational Study.

IMPORTANCE: Several studies have relayed the disproportionate impact of COVID-19 on marginalized communities; however, few have specifically examined the association between social determinants of health and mechanical ventilation (MV). OBJECTIVE: To determine which demographics impact MV rates among COVID-19 patients. DESIGN: This observational study included COVID-19 patient data from eight hospitals' electronic medical records (EMR) between February 25, 2020, to December 31, 2020. Associations between demographic data and MV rates were evaluated using uni- and multivariate analyses. SETTING: Multicenter (eight hospitals), largest health system in Southeast Michigan. PARTICIPANTS: Inpatients with a positive RT-PCR for SARS-CoV-2 on nasopharyngeal swab. Exclusion criteria were missing demographic data or non-permanent Michigan residents. EXPOSURE: Patients were divided into two groups: MV and non-MV. MAIN OUTCOME AND MEASURES: The primary outcome was MV rate per demographic. A multivariate model then predicted the odds of MV per demographic descriptor. Hypotheses were formulated prior to data collection. RESULTS: Among 11,304 COVID-19 inpatients investigated, 1621 (14.34%) were MV, and 49.96% were male with a mean age of 63.37 years (17.79). Significant social determinants for MV included Black race (40.19% MV vs 31.31% non-MV, p<0.01), poverty (14.60% vs. 13.21%, p<0.01), and disability (12.65% vs 9.14%; p<0.01). Black race (AOR 1.61 (CI 1.41-1.83; p<0.01)), median income (AOR 0.99 (CI 0.99-0.99; p<0.01)), disability (AOR 1.55 (CI 1.26, 1.90; p<0.01)), and non-English-speaking status (AOR 1.26 (CI 1.05, 1.53)) had significantly higher odds of MV. CONCLUSIONS AND RELEVANCE: Black race, low socioeconomic status, disability, and non-English-speaking status were significant risk factors for MV from COVID-19. An urgent need remains for a pandemic response program that strategizes care for marginalized communities.

Barriers to college success among students that experienced adverse childhood events.

Objective: This study examines the relationship between adverse childhood experiences (ACEs) and academic barriers to college success. Participants: College students (n = 525) were surveyed about exposure to ACEs and academic barriers on a large university campus in the Southeast. Methods: Multivariate regression was used to model the academic barriers among college students for students with different levels of ACEs exposure controlling for depression, health and family barriers, and sociodemographic characteristics. Results: Students with ACEs reported more family difficulties and health problems compared with those without ACEs. Depressive symptomology, poorer health ratings, and other health and family issues significantly predicted higher counts of academic barriers. Conclusions: Students with ACEs face greater difficulty with relation to health and family barriers which in turn impacts academic barriers.