Design and implementation of INSPPIRE.

OBJECTIVES: Acute recurrent pancreatitis (ARP) and chronic pancreatitis (CP) are rare and poorly understood diseases in children. Better understanding of these disorders can only be accomplished via a multicenter, structured, data collection approach. METHODS: The International Study Group of Pediatric Pancreatitis: In Search for a Cure (INSPPIRE) consortium was created to investigate the epidemiology, etiologies, pathogenesis, natural history, and outcomes of pediatric ARP and CP. Patient and physician questionnaires were developed to capture information on demographics, medical history, family and social history, medications, hospitalizations, risk factors, diagnostic evaluation, treatments, and outcome information. Information collected in paper questionnaires was then transferred into Research Electronic Data Capture (REDCap), tabulated, and analyzed. RESULTS: The administrative structure of the INSPPIRE consortium was established, and National Institutes of Health funding was obtained. A total of 14 sites (10 in the United States, 2 in Canada, and 2 overseas) participated. Questionnaires were amended and updated as necessary, followed by changes made into the REDCap database. Between September 1, 2012 and August 31, 2013, a total of 194 children were enrolled into the study: 54% were girls, 82% were non-Hispanic, and 72% were whites. CONCLUSIONS: The INSPPIRE consortium demonstrates the feasibility of building a multicenter patient registry to study the rare pediatric diseases, ARP and CP. Analyses of collected data will provide a greater understanding of pediatric pancreatitis and create opportunities for therapeutic interventional studies that would not otherwise be possible without a multicenter approach.

Born to be wild: Second-to-fourth digit length ratio and risk preferences.

The second-to-fourth digit length ratio of an individual's hand (digit ratio) is a putative biomarker for prenatal exposure to testosterone. We examine the hypothesized negative association between the digit ratio and the preference for risk taking within a large U.S. population survey. Our statistical framework provides a cardinal proxy for the true digit ratio based on ordinal digit ratio measurements and accounts for measurement error under the assumptions of Gaussianity and time-invariant true digit ratios. Our empirical findings support the hypothesis and suggest a meaningful biological basis for risk preferences.