Vargas, Bert B.

Background: Each year, nearly 700,000 Americans suffer from strokes, resulting in 150,000 deaths and significant disability among survivors. Despite advances in therapeutic options for acute stroke within a critical time window, patient delay in seeking medical attention remains a significant barrier to improving outcomes. In a recent study of the effect of marital status on the timing of presentation for medical care in patients with chest pain, married men presented earlier than married women. In this study, we hypothesize that marital status is a predictor of earlier health-seeking behavior following the onset of stroke symptoms. Methods: We conducted a retrospective review of 100 patients with acute stroke symptoms in our stroke alert quality initiative database who were brought by Emergency Medical Services (EMS) to the Mayo Clinic Hospital, Arizona between December 1, 2010 and June 30, 2011. Nine patients were excluded due to lack of data. The database contains the following information for each patient: age, gender, marital status, the time of symptom awareness, and the time of EMS dispatch. Using both an independent samples t-Test and ANOVA, we compared the time from symptom awareness to EMS dispatch both between married and single patients, and between men and women, (married and single). Results: The mean age of the 91 patients studied was 76 years (SD = 12.5 years) and 52% were women. Forty-five patients (49.5%) were married, and 46 (50.5%) were single. The mean time from symptom awareness to EMS activation was 52 minutes (median 21.0, SD 87.3, range 2-519 minutes.) Categorized by marital status, married patients activated EMS earlier that single patients, but this difference was not significant (43 versus 60 minutes, p=0.35.). Analyzing the data separately for gender, we found that married men activated EMS significantly earlier than married women (26 versus 72 minutes, p=0.04.). Single men activated EMS earlier than single women, but this difference was not significant (50 versus 66 minutes, p=0.60.) Conclusions: Among persons with acute stroke symptoms, earlier medical-seeking behavior was seen in married compared to single persons, and particularly in married men. We plan to analyze a larger sample of patients, and if these preliminary findings are confirmed, we will conduct a prospective study evaluating reasons why married men with stroke symptoms seek medical attention earlier.

Background: Atrial fibrillation (AF) is an important modifiable and independent risk factor for stroke. AF is associated with 2-4% annual risk for first time stroke and about 8% annually for recurrent stroke. Anticoagulant therapy reduces the risk by 60%, while the relative risk reduction (RRR) obtained from antiplatelet therapy is only 20%. The effect is more robust for secondary than for primary prevention. Risk stratification schemes are utilized to assess an individual’s risk of future stroke and to determine the optimal antithrombotic or anticoagulation regimen for stroke prevention. Despite Warfarin’s superiority over antiplatelet therapy to reduce the risk of AF related systemic embolism, Warfarin is largely underutilized. The aim of this study was to determine the frequency and reasons behind withholding anticoagulation in patient with AF related cardioembolic stroke in our institution. Method: We extracted patients from our Get With The Guideline’s (GWTG) database who were admitted to Mayo Clinic AZ between January 2004 and December 2009. Two authors (TK and NL) independently identified all patients with the diagnosis of atrial fibrillation who were not prescribed Warfarin therapy upon discharge, then reviewed to identify the reason(s) why anticoagulation was not initiated. Factors such as discharge disposition (home, acute rehabilitation, long term nursing facility, hospice, other) and functional status (able to ambulate independently, with assistance, unable to ambulate, or not documented) were also assessed to help support the decision process. Results: From a total of 1295 patients, 305 with AF were identified. Patients who expired 48 (3.7%) from un-related causes were excluded. Of the 257 patients, 206 (80.2%) were anticoagulated and 51 (19.8%) were not anticoagulated. We found that in the anticoagulated group, patients discharged home were more likely to receive anticoagulation (89.2%), followed by those discharged to acute rehabilitation and skilled nursing facilities (77%). Those discharged to hospice were the least likely to receive anticoagulation (6.4%). In addition, patients with greater functional ability were also more likely to receive anticoagulation (independent 89.8%, vs. assisted 76.7%, vs. non-ambulatory 33.3%; p<0.0001). Reasons to withhold anticoagulation therapy at discharge included terminal illness/comfort measures only (40.0%); risk/discomfort due to bleeding (24%); risk of falls (13.0%); and patient refusal (9.0%). Discussion: Based on the results, we conclude that functional status and disposition at discharge are significant factors influencing the decision to anticoagulate after cardioembolic stroke attributed to AF.

Objectives To describe and analyze Twitter activity associated with American Headache Society (AHS) conferences and evaluate the potential for Twitter to promote education and public outreach. Background Many medical and scientific conferences have adopted Twitter as a method of promoting discussion among attendees as well as increasing visibility. Relatively little is known, however, about the composition of conference Twitter activity, the participants, and the impact on broader Twitter discussions. Methods We analyzed Twitter data from 5 AHS conferences held from 2014 to 2016 using their respective hashtags. Using the Symplur Healthcare Hashtags open social media search platform, we gathered data on numbers of tweets, impressions, participants, and mentions during a 10‐day period surrounding each conference, as well as samples of Twitter accounts participating. Prominent accounts were categorized as individual medical professionals, other individuals, host organizations, health‐related organizations, medical centers, and industry by cross‐checking their Twitter profiles and conference registration lists. Larger samples of accounts participating in the 2016 conferences were also obtained and categorized similarly, with individual person accounts classified by conference registration status. A related prominent hashtag (#migraine) was also identified and Twitter usage before, during, and after each conference was analyzed to evaluate the impact of conference activity on broader Twitter conversations. Results Nineteen thousand nine hundred thirty‐six tweets were generated across the 5 conferences, with 11,531 (58%) created by the Top 10 participating accounts in each conference, which were primarily individual medical professionals and host organizations. Thirty‐two million six hundred eighty‐three thousand impressions were generated across the 5 conferences, with 24,656,000 (75%) coming from the Top 10 participants in each, particularly host organizations and other individuals. An average of 331 accounts participated in each conference. The Top 10 mentioned accounts in each conference (consisting of 21 unique accounts with 14 accounts in the Top 10 across multiple conferences, primarily individual medical professionals) received a total of 15,093 mentions. Among 135 unique accounts participating actively in the two 2016 conferences, 39% were individual medical professionals, 38% other individuals, 16% health‐related organizations (including the 2 host organizations), 4% medical centers, and 2% industry. From these samples, 34 of 70 (49%) and 43 of 66 (65%) individual person accounts participating in the Twitter discussion at each conference were not registered conference attendees, indicating substantial outside participation via Twitter. #migraine usage during conferences showed a significant increase from baseline in number of tweets (6080 in a 10‐day period vs 3721, P < .0001) and participants (2332 vs 1830, P < .0001) but the increase was not significant for impressions (30,155 vs 25,361, P = .240). Conclusions Consistent with the dynamics of Twitter conversations on other topics, AHS conference discussions featured a small group of accounts creating the bulk of content, with individual medical professionals and host organizations generating the largest shares of tweets and mentions while host organizations and other individuals produced the most impressions. Participating accounts were mainly individuals and health‐related organizations, with more non‐attendee participants than expected. Conference Twitter activity correlated with a significant increase in #migraine usage, suggesting a perceptible influence on the discussion of health‐related topics beyond the conference itself.