What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses.

INTRODUCTION: Emergency department (ED) patients' Internet search terms prior to arrival have not been well characterized. The objective of this analysis was to characterize the Internet search terms patients used prior to ED arrival and their relationship to final diagnoses. METHODS: We collected data via survey; participants listed Internet search terms used. Terms were classified into categories: symptom, specific diagnosis, treatment options, anatomy questions, processes of care/physicians, or "other." We categorized each discharge diagnosis as either symptom-based or formal diagnosis. The relationship between the search term and final diagnosis was assigned to one of four categories of search/diagnosis combinations (symptom search/symptom diagnosis, symptom search/formal diagnosis, diagnosis search/symptom diagnosis, diagnosis search/formal diagnosis), representing different "trajectories." RESULTS: We approached 889 patients; 723 (81.3%) participated. Of these, 177 (24.5%) used the Internet prior to ED presentation; however, seven had incomplete data (N=170). Mean age was 47 years (standard deviation 18.2); 58.6% were female and 65.7% white. We found that 61.7% searched symptoms and 40.6% searched a specific diagnosis. Most patients received discharge diagnoses of equal specificity as their search terms (34% flat trajectory-symptoms and 34% flat trajectory-diagnosis). Ten percent searched for a diagnosis by name but received a symptom-based discharge diagnosis with less specificity. In contrast, 22% searched for a symptom and received a detailed diagnosis. Among those who searched for a diagnosis by name (n=69) only 29% received the diagnosis that they had searched. CONCLUSION: The majority of patients used symptoms as the basis of their pre-ED presentation Internet search. When patients did search for specific diagnoses, only a minority searched for the diagnosis they eventually received.

The immunoregulatory enzyme IDO paradoxically drives B cell-mediated autoimmunity.

Rheumatoid arthritis (RA) is a chronic and debilitating inflammatory autoimmune disease of unknown etiology. As with a variety of autoimmune disorders, evidence of elevated tryptophan catabolism has been detected in RA patients indicative of activation of the immunomodulatory enzyme IDO. However, the role that IDO plays in the disease process is not well understood. The conceptualization that IDO acts solely to suppress effector T cell activation has led to the general assumption that inhibition of IDO activity should exacerbate autoimmune disorders. Recent results in cancer models, however, suggest a more complex role for IDO as an integral component of the inflammatory microenvironment necessary for supporting tumor outgrowth. This has led us to investigate the involvement of IDO in the pathological inflammation associated with RA. Using the K/BxN murine RA model and IDO inhibitor 1-methyl-tryptophan, we found that inhibiting IDO activity had the unexpected consequence of ameliorating, rather than exacerbating arthritis symptoms. 1-Methyl tryptophan treatment led to decreased autoantibody titers, reduced levels of inflammatory cytokines, and an attenuated disease course. This alleviation of arthritis was not due to an altered T cell response, but rather resulted from a diminished autoreactive B cell response, thus demonstrating a previously unappreciated role for IDO in stimulating B cell responses. Our findings raise the question of how an immunosuppressive enzyme can paradoxically drive autoimmunity. We suggest that IDO is not simply immunosuppressive, but rather plays a more complex role in modulating inflammatory responses, in particular those that are driven by autoreactive B cells.