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Asthma And Risk Of Non-Respiratory Tract Infection: A Population-Based Case-Control Study, Duk Won Bang, Hyeon J Yang, Eell Ryoo, Majdi N. Al-Hasan, Brian Lahr, Larry M. Baddour, Barbara P. Yawn, Young J. Juhn

Internal Medicine Faculty Publications

OBJECTIVES: Asthmatics have increased risks of airway-related infections. Little is known about whether this is true for non-airway-related serious infections such as Escherichia coli bloodstream infection (BSI). We assessed whether asthma is associated with a risk of developing community-acquired E coli BSI.

DESIGN: The study was designed as a population-based retrospective case-control study.

SETTING: This population-based study was conducted in Olmsted County, Minnesota.

PARTICIPANTS: The study included 259 all eligible community-acquired E coli BSI cases in Olmsted County, MN between 1998 and 2007 and 259 birthday-matched, gender-matched and residency-matched controls.

PRIMARY AND SECONDARY OUTCOME MEASURES: Only community-acquired E coli BSI …

Mapping Disease At An Approximated Individual Level Using Aggregate Data: A Case Study Of Mapping New Hampshire Birth Defects, Xun Shi, Stephanie Miller, Kevin Mwenda, Akikazu Onda

Dartmouth Scholarship

Limited by data availability, most disease maps in the literature are for relatively large and subjectively-defined areal units, which are subject to problems associated with polygon maps. High resolution maps based on objective spatial units are needed to more precisely detect associations between disease and environmental factors. Method: We propose to use a Restricted and Controlled Monte Carlo (RCMC) process to disaggregate polygon-level location data to achieve mapping aggregate data at an approximated individual level. RCMC assigns a random point location to a polygon-level location, in which the randomization is restricted by the polygon and controlled by the background (e.g., …

Shared Learning In An Interconnected World: Innovations To Advance Global Health Equity, Agnes Binagwaho, Cameron T. Nutt, Vincent Mutabazi, Corine Karema

Dartmouth Scholarship

The notion of "reverse innovation"--that some insights from low-income countries might offer transferable lessons for wealthier contexts--is increasingly common in the global health and business strategy literature. Yet the perspectives of researchers and policymakers in settings where these innovations are developed have been largely absent from the discussion to date. In this Commentary, we present examples of programmatic, technological, and research-based innovations from Rwanda, and offer reflections on how the global health community might leverage innovative partnerships for shared learning and improved health outcomes in all countries.

Sessile Serrated Adenomas In The Proximal Colon Are Likely To Be Flat, Large And Occur In Smokers, Tarun Rustagi, Priya Rangasamy, Matthew Myers, Melinda Sanders, Haleh Vaziri, George Y. Wu, John W. Birk, Petr Protiva, Joseph C. Anderson

Dartmouth Scholarship

Aim: To examine the epidemiology and the morphology of the proximal sessile serrated adenomas (SSAs).

Methods: We conducted a retrospective study to identify patients with SSAs using a university-based hospital pathology database query from January 2007 to April 2011. Data collected included: age, gender, ethnicity, body mass index, diabetes, smoking, family history of colorectal cancer, aspirin, and statin use. We collected data on morphology of SSAs including site (proximal or distal), size, and endoscopic appearance (flat or protuberant). We also compared proximal SSAs to proximal tubular adenomas detected during same time period.

Net Reclassification Indices For Evaluating Risk Prediction Instruments: A Critical Review, Kathleen F. Kerr, Zheyu Wang, Holly Janes, Robyn Mcclelland, Bruce M. Psaty, Margaret S. Pepe

UW Biostatistics Working Paper Series

Background Net Reclassification Indices (NRI) have recently become popular statistics for measuring the prediction increment of new biomarkers.

Methods In this review, we examine the various types of NRI statistics and their correct interpretations. We evaluate the advantages and disadvantages of the NRI approach. For pre-defined risk categories, we relate NRI to existing measures of the prediction increment. We also consider statistical methodology for constructing confidence intervals for NRI statistics and evaluate the merits of NRI-based hypothesis testing.

Conclusions Investigators using NRI statistics should report them separately for events (cases) and nonevents (controls). When there are two risk categories, the …

National Estimates Of Emergency Department Visits For Pediatric Severe Sepsis In The United States, Sara Singhal, Mathias W. Allen, John-Ryan Mcannally, Kenneth S. Smith, John P. Donnelly, Henry E. Wang

Emergency Medicine Faculty Publications

Objective. We sought to determine the characteristics of children presenting to United States (US) Emergency Departments (ED) with severe sepsis.

Study design. Cross-sectional analysis using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS). Using triage vital signs and ED diagnoses (defined by the International Classification of Diseases, Ninth Revision codes), we identified children(triage fever or ICD-9 infection) and organ dysfunction (triage hypotension or ICD-9 organ dysfunction).

Results. Of 28.2 million pediatric patients presenting to US EDs each year, severe sepsis was present in 95,055 (0.34%; 95% CI: 0.29-0.39%). Fever and respiratory infection were the most common indicators of …