Case Report: Cystic Adventitial Disease of the External Iliac Artery with Imaging Features of a Complicating Proximal Dissection

IntroductionCystic adventitial disease (CAD) is a rare cause of claudication. We report a case of CAD involving the external iliac artery, with possible cyst rupture intramurally causing significant long segment stenosis of the external iliac artery.Case reportA 52-year-old female presented with sudden onset (over 1 day) lifestyle-limiting claudication affecting the left calf and thigh. CT angiography of the lower limbs revealed an eccentric low density wall thickening of the left external iliac artery (EIA) producing a 70% stenosis and a cystic lesion just distal to the stenosis.DiscussionA diagnosis of cystic adventitial disease was made and the patient proceeded to iliofemoral bypass.     

Functional evaluation of out-of-the-box text-mining tools for data-mining tasks

Objective The trade-off between the speed and simplicity of dictionary-based term recognition and the richer linguistic information provided by more advanced natural language processing (NLP) is an area of active discussion in clinical informatics. In this paper, we quantify this trade-off among text processing systems that make different trade-offs between speed and linguistic understanding. We tested both types of systems in three clinical research tasks: phase IV safety profiling of a drug, learning adverse drug–drug interactions, and learning used-to-treat relationships between drugs and indications.Materials We first benchmarked the accuracy of the NCBO Annotator and REVEAL in a manually annotated, publically available dataset from the 2008 i2b2 Obesity Challenge. We then applied the NCBO Annotator and REVEAL to 9 million clinical notes from the Stanford Translational Research Integrated Database Environment (STRIDE) and used the resulting data for three research tasks.Results There is no significant difference between using the NCBO Annotator and REVEAL in the results of the three research tasks when using large datasets. In one subtask, REVEAL achieved higher sensitivity with smaller datasets.Conclusions For a variety of tasks, employing simple term recognition methods instead of advanced NLP methods results in little or no impact on accuracy when using large datasets. Simpler dictionary-based methods have the advantage of scaling well to very large datasets. Promoting the use of simple, dictionary-based methods for population level analyses can advance adoption of NLP in practice.     

“We have to ask and only then do”: Unpacking agency and autonomy in women's reproductive health in urban India

The limited autonomy and agency of women in developing countries is recognized as a key barrier to improving their reproductive health. Using an existing perinatal cohort in urban South India, we interviewed 36 women who had recently been through childbirth, and we carried out observations of family life and clinic encounters. Critical domains involved in women's agency and autonomy were women's participation in employment and group action and their mobility. Household decision making was considered a joint rather than individual responsibility. We call for a more nuanced understanding of these domains and their relationship to women's reproductive health, particularly for urban populations.