Social Vulnerability Index and Survivorship after Colorectal Cancer Resection.

BACKGROUND: Race and socioeconomic status incompletely identify patients with colorectal cancer (CRC) at the highest risk for screening, treatment, and mortality disparities. Social vulnerability index (SVI) was designed to delineate neighborhoods requiring greater support after external health stressors, summarizing socioeconomic, household, and transportation barriers by census tract. SVI is implicated in lower cancer center use and increased complications after colectomy, but its influence on long-term prognosis is unknown. Herein, we characterized relationships between SVI and CRC survival. STUDY DESIGN: Patients undergoing resection of stage I to IV CRC from January 2010 to May 2023 within an academic health system were identified. Clinicopathologic characteristics were abstracted using institutional National Cancer Database and NSQIP. Addresses from electronic health records were geocoded to SVI. Overall survival and cancer-specific survival were compared using Kaplan-Meier and Cox proportional hazards methods. RESULTS: A total of 872 patients were identified, comprising 573 (66%) patients with colon tumor and 299 (34%) with rectal tumor. Patients in the top SVI quartile (32%) were more likely to be Black (41% vs 13%, p < 0.001), carry less private insurance (39% vs 48%, p = 0.02), and experience greater comorbidity (American Society of Anesthesiologists physical status III: 86% vs 71%, p < 0.001), without significant differences by acuity, stage, or CRC therapy. In multivariable analysis, high SVI remained associated with higher all-cause (hazard ratio 1.48, 95% CI 1.12 to 1.96, p < 0.01) and cancer-specific survival mortality (hazard ratio 1.71, 95% CI 1.10 to 2.67, p = 0.02). CONCLUSIONS: High SVI was independently associated with poorer prognosis after CRC resection beyond the perioperative period. Acknowledging needs for multi-institutional evaluation and elaborating causal mechanisms, neighborhood-level vulnerability may inform targeted outreach in CRC care.

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.

Mild traumatic brain injury (mTBI) is a complex syndrome that affects up to 600 per 100,000 individuals, with a particular concentration among military personnel. About half of all mTBI patients experience a diverse array of chronic symptoms which persist long after the acute injury. Hence, there is an urgent need for better understanding of the white matter and gray matter pathologies associated with mTBI to map which specific brain systems are impacted and identify courses of intervention. Previous works have linked mTBI to disruptions in white matter pathways and cortical surface abnormalities. Herein, we examine these hypothesized links in an exploratory study of joint structural connectivity and cortical surface changes associated with mTBI and its chronic symptoms. Briefly, we consider a cohort of 12 mTBI and 26 control subjects. A set of 588 cortical surface metrics and 4,753 structural connectivity metrics were extracted from cortical surface regions and diffusion weighted magnetic resonance imaging in each subject. Principal component analysis (PCA) was used to reduce the dimensionality of each metric set. We then applied independent component analysis (ICA) both to each PCA space individually and together in a joint ICA approach. We identified a stable independent component across the connectivity-only and joint ICAs which presented significant group differences in subject loadings (p<0.05, corrected). Additionally, we found that two mTBI symptoms, slowed thinking and forgetfulness, were significantly correlated (p<0.05, corrected) with mTBI subject loadings in a surface-only ICA. These surface-only loadings captured an increase in bilateral cortical thickness.