Evaluation and Management of Toxicodendron Dermatitis in the Emergency Department: A Review of Current Practices.

Toxicodendron dermatitis is an underappreciated disease seen in the emergency department. Although self-limiting, symptoms can be distressing and can last for weeks if untreated, particularly with re-exposure. Continuing research has improved our understanding of specific inflammatory markers that are associated with exposure to urushiol-the compound responsible for Toxicodendron dermatitis-although consensus for treatment remains varied and poorly supported. Owing to the lack of recent primary literature on the topic, many providers rely on historical precedent, expert opinion, and personal experience when treating this disease. This article provides a narrative review of the literature currently available on the effects of urushiol on key molecular and cellular functions and the prevention and treatment of Toxicodendron dermatitis.

An open challenge to advance probabilistic forecasting for dengue epidemics.

A wide range of research has promised new tools for forecasting infectious disease dynamics, but little of that research is currently being applied in practice, because tools do not address key public health needs, do not produce probabilistic forecasts, have not been evaluated on external data, or do not provide sufficient forecast skill to be useful. We developed an open collaborative forecasting challenge to assess probabilistic forecasts for seasonal epidemics of dengue, a major global public health problem. Sixteen teams used a variety of methods and data to generate forecasts for 3 epidemiological targets (peak incidence, the week of the peak, and total incidence) over 8 dengue seasons in Iquitos, Peru and San Juan, Puerto Rico. Forecast skill was highly variable across teams and targets. While numerous forecasts showed high skill for midseason situational awareness, early season skill was low, and skill was generally lowest for high incidence seasons, those for which forecasts would be most valuable. A comparison of modeling approaches revealed that average forecast skill was lower for models including biologically meaningful data and mechanisms and that both multimodel and multiteam ensemble forecasts consistently outperformed individual model forecasts. Leveraging these insights, data, and the forecasting framework will be critical to improve forecast skill and the application of forecasts in real time for epidemic preparedness and response. Moreover, key components of this project-integration with public health needs, a common forecasting framework, shared and standardized data, and open participation-can help advance infectious disease forecasting beyond dengue.

The Results of Randomized Controlled Trials in Emergency Medicine Are Frequently Fragile.

STUDY OBJECTIVE: Randomized controlled trials govern evidence-based clinical practice, and it is therefore critical that their results be robust. We aim to investigate the fragility of randomized controlled trials in emergency medicine by determining how often significance would be nullified with small changes in outcomes using the fragility index. METHODS: We conducted a methodological systematic review of randomized controlled trials in emergency medicine published in the top 10 general medicine journals and the top 10 emergency medicine journals. Inclusion criteria required that trials be emergency medicine studies structured with a 2-arm or 2-by-2 factorial design and report at least 1 statistically significant dichotomous outcome. RESULTS: A total of 180 trials met inclusion criteria. The median fragility index across all trials in emergency medicine was 4 (interquartile range [IQR] 2 to 10) and the median sample size was 140 (IQR 69.5 to 286). For trials from general medicine journals (n=32), the median fragility index was 9 (IQR 4 to 16.5) and the median sample size was 415.5 (IQR 219.5 to 901); for trials from emergency medicine journals (n=148), the median fragility index was 4 (IQR 1 to 9) and the median sample size was 119 (IQR 60 to 227.25). One third of all trials (62/180) had a loss to follow-up that was greater than or equal to the fragility index. There was a modest correlation between fragility index and total number of events (r=0.36; 95% confidence interval [CI] 0.23 to 0.48) and a weak correlation between fragility index and total sample size (r=0.26; 95% CI 0.12 to 0.39). There was no correlation between fragility index and either P value (r=-0.14; 95% CI -0.28 to -0.006) or Science Citation Index (r=0.07; 95% CI -0.08 to 0.22). CONCLUSION: The statistical significance of the results of randomized controlled trials in emergency medicine was often contingent on a small number of events. Until frequentist interpretation of clinical trials is replaced with Bayesian analysis, the fragility index may have utility as a tool to aid clinicians in assessing the robustness of randomized controlled trials in emergency medicine when considered in conjunction with the fragility quotient and other reported metrics.

Treating schizophrenia: the quality of evidence behind treatment recommendations and how it can improve.

OBJECTIVE: To assess the methodological and reporting quality of systematic reviews that comprise the American Psychiatric Association (APA) Practice Guideline for the Treatment of Patients with Schizophrenia and to determine the extent to which results from Cochrane systematic reviews published after guideline development would alter or confirm current recommendations. PARTICIPANTS: Systematic reviews that underpinned recommendations in the APA guidelines and Cochrane systematic reviews. MAIN OUTCOME: Three independent reviewers scored all systematic reviews referenced in the guideline for quality and reporting using AMSTAR and PRISMA checklist, respectively. Items in both tools were individually graded and compared to identify consistently low-performing areas within the systematic reviews. Post hoc analysis of the Cochrane systematic reviews since the latest revision of APA's guidelines were performed to determine whether their findings were congruent with recent recommendations. RESULTS: The mean score of the 57 reviews on the PRISMA checklist was 70%. The mean AMSTAR score was 6.8, correlating with a moderate quality score. Post hoc analysis revealed that 171 Cochrane reviews had been published since the APA guideline release. Only half of the reviews of pharmacological interventions confirmed current recommendations. CONCLUSIONS AND RELEVANCE: The methodological quality of the systematic reviews included in the APA guideline was deficient in key areas. Our study brings to light the importance of using high-quality evidence in the development of clinical practice guidelines. An updated APA guideline (last updated in 2009) is necessary to provide the highest quality treatment recommendations for clinicians in the management of schizophrenia. TRIAL REGISTRATION NUMBER: UMIN-CTR, UMIN000023099.

Emergency department discharge prescription errors in an academic medical center.

This study described discharge prescription medication errors written for emergency department patients. This study used content analysis in a cross-sectional design to systematically categorize prescription errors found in a report of 1000 discharge prescriptions submitted in the electronic medical record in February 2015. Two pharmacy team members reviewed the discharge prescription list for errors. Open-ended data were coded by an additional rater for agreement on coding categories. Coding was based upon majority rule. Descriptive statistics were used to address the study objective. Categories evaluated were patient age, provider type, drug class, and type and time of error. The discharge prescription error rate out of 1000 prescriptions was 13.4%, with "incomplete or inadequate prescription" being the most commonly detected error (58.2%). The adult and pediatric error rates were 11.7% and 22.7%, respectively. The antibiotics reviewed had the highest number of errors. The highest within-class error rates were with antianginal medications, antiparasitic medications, antacids, appetite stimulants, and probiotics. Emergency medicine residents wrote the highest percentage of prescriptions (46.7%) and had an error rate of 9.2%. Residents of other specialties wrote 340 prescriptions and had an error rate of 20.9%. Errors occurred most often between 10:00 am and 6:00 pm.

Does Preoperative Weight Change Predict Postoperative Weight Loss After Laparoscopic Sleeve Gastrectomy?

Background: Some institutions and insurance companies mandate a preoperative weight loss regimen prior to bariatric surgery. Previous studies suggest little to no correlation between preoperative and postoperative weight loss for laparoscopic Roux-en-Y gastric bypass (RNYGB). This study examined the impact of preoperative weight change for patients undergoing laparoscopic sleeve gastrectomy (LSG). Materials and Methods: A retrospective analysis was performed on patients undergoing LSG at the authors' institution from 2010 to 2012. Patients were grouped based on preoperative weight gain or loss. The correlation between preoperative BMI change and postoperative BMI change was studied, as well as length of surgery. Results: Of 141 patients with 1-year follow-up, 72 lost, six maintained, and 64 gained weight preoperatively. Percentage of excess BMI loss at 1 year was not statistically different between those who lost weight and those who gained weight. Percent change in BMI from initial visit to surgery does not correlate with change in BMI at 1 year postoperatively or with length of surgery. Conclusions: Preoperative weight loss is not a reliable predictor of postoperative weight loss or shorter operative time after LSG. Potential patients who otherwise meet indications for LSG should not be denied based on inability to lose weight.