Digital Commons Network^™

Can Capture Be Used To Identify Undiagnosed Patients With Mild-To-Moderate Copd Likely To Benefit From Treatment?, Nancy K. Leidy, Fernando J. Martinez, Karen G. Malley, David M. Mannino, Meilan K. Han, Elizabeth D. Bacci, Randall W. Brown, Julia F. Houfek, Wassim W. Labaki, Barry J. Make, Catherine A. Meldrum, Wilson Quezada, Stephen Rennard, Byron Thomashow, Barbara P. Yawn

Preventive Medicine and Environmental Health Faculty Publications

Background: COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE™) uses five questions and peak expiratory flow (PEF) thresholds (males ≤350 L/min; females ≤250 L/min) to identify patients with a forced expiratory volume in 1 second (FEV₁)/forced vital capacity (FVC)11 60%–80% predicted) who may also benefit from diagnosis and treatment.

Methods: Data from the CAPTURE development study were used to test its sensitivity (SN) and specificity (SP) differentiating mild-to-moderate COPD (n=73) from no COPD (n=87). SN and SP for differentiating all COPD cases (mild to severe; n=259) from those without COPD (n=87) were …

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), …

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, …