Medicine and Health Sciences Commons^™

In-Hospital Mortality And Post-Surgical Complications Among Cancer Patients With Metabolic Syndrome, Tomi Akinyemiju, Swati Sakhuja, Neomi Vin-Raviv

Epidemiology and Environmental Health Faculty Publications

Background

Metabolic syndrome (MetS) is an important etiologic and prognostic factor for cancer, but few studies have assessed hospitalization outcomes among patients with both conditions.

Methods

Data was obtained from the Healthcare Cost and Utilization project Nationwide Inpatient Sample (HCUP-NIS). Study variables were assessed using ICD-9 codes on adults aged 40 years and over admitted to a US hospital between 2007 and 2011 with primary diagnosis of either breast, colorectal, or prostate cancer. We examined in-hospital mortality, post-surgical complications, and discharge disposition among cancer patients with MetS and compared with non-MetS patients.

Results

Hospitalized breast (OR: 0.31, 95% CI: 0.20–0.46), …

Demographic, Presentation, And Treatment Factors And Racial Disparities In Ovarian Cancer Hospitalization Outcomes, Tomi F. Akinyemiju, Gurudatta Naik, Kemi Ogunsina, Daniel T. Dibaba, Neomi Vin-Raviv

Epidemiology and Environmental Health Faculty Publications

BACKGROUND: This study examines whether racial disparities in hospitalization outcomes persist between African-American and White women with ovarian cancer after matching on demographic, presentation, and treatment factors.

METHODS: Using data from the Nationwide Inpatient Sample database, 5,164 African-American ovarian cancer patients were sequentially matched with White patients on demographic (e.g., age, income), presentation (e.g., stage, comorbidities), and treatment (e.g., surgery, radiation) factors. Racial differences in-hospital length of stay, post-operative complications, and in-hospital mortality were evaluated using conditional logistic regression models.

RESULTS: White ovarian cancer patients had relatively higher odds of post-operative complications when matched on demographics (OR 1.35, 95% CI …

Genome-Wide Interactions With Dairy Intake For Body Mass Index In Adults Of European Descent, Caren E. Smith, Jack L. Follis, Hassan S. Dashti, Toshiko Tanaka, Mariaelisa Graff, Amanda M. Fretts, Tuomas O. Kilpeläinen, Mary K. Wojczynski, Kris Richardson, Mike A. Nalls, Christina-Alexandra Schulz, Yongmei Liu, Alexis C. Frazier-Wood, Esther Van Eekelen, Carol Wang, Paul S. De Vries, Vera Mikkilä, Rebecca Rohde, Bruce M. Psaty, Torben Hansen, Mary F. Feitosa, Chao-Qiang Lai, Denise K. Houston, Luigi Ferruci, Ulrika Ericson, Zhe Wang, Renée De Mutsert, Wendy H. Oddy, Ester A. L. De Jonge, Ilkka Seppälä, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter‐individual variability in associations between body weight and dairy consumption.

Methods and results: A genome‐wide interaction study to discover genetic variants that account for variation in BMI in the context of low‐fat, high‐fat and total dairy intake in cross‐sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta‐analyzed. Twenty‐six genetic variants reached the selected significance threshold (p‐interaction <10⁻⁷⁾, and six independent variants (LINC01512‐rs7751666, PALM2/AKAP2‐rs914359, ACTA2‐rs1388, PPP1R12A‐rs7961195, LINC00333‐rs9635058, …