Trematodal granulomatous uveitis in paediatric Egyptian patients: a case series.

PURPOSE: To describe the clinical presentations and results of laboratory analysis of waterborne ophthalmic granulomas of the anterior chamber (AC) in Egyptian patients. PARTICIPANTS: 110 patients with granulomatous anterior uveitis and distinctive AC nodules. DESIGN: Prospective, non-comparative, case series. METHODS: Demographic data including age, gender and place of residence were recorded. A full ophthalmic examination with emphasis on the inflammatory characteristics and systemic workup was performed. The nodules were surgically removed in selected cases and molecular and histopathological analyses were performed. RESULTS: 102 boys and 8 girls were recruited (mean age 11.5 years). All children came from villages along the basin of the River Nile in Egypt and were engaged in swimming in the local fresh water repertoires just prior to the development of the ocular lesions. 99 patients (103 eyes) showed active granulomatous anterior uveitis with distinct pearl-like white nodules in the AC measuring between 2 and 7 mm in diameter. Inactive scarred lesions were noted in 11 patients (12 eyes). Structural complications including cataract, corectopia and phthisis were documented in 29 eyes. PCR detected digenic trematode DNA in 6 out of 14 excised nodules. Histopathological examination showed aggregates of eosinophils and epithelioid cell granulomas. CONCLUSIONS: In Egypt, a unique pattern of granulomatous anterior uveitis in rural children attributable to a waterborne helminthic infection is reported. The River Nile and its fresh water fauna are implicated in our series, and the need for an environmental investigation to further outline best management options in the given endemic areas is highlighted.

Medical undergraduates' contributions to publication output of world's top universities in 2013.

BACKGROUND: Medical undergraduates' (UGs) involvement in research activities is thought to be mutually beneficial to students, their mentors and the scholarly productivity of their universities. However, most evidence in favor of such assumption relies on subjective measures such as the self-reported gains in skills or knowledge rather than robust objective estimates for assessing impact. AIM: We aimed to objectively track and describe publications with UG co-authors-their proportion to the total publication output of world's top universities, their characteristics and their potential impact on biomedical literature. METHODS: We contacted the corresponding authors of the 2013's Medline-indexed publications affiliated to world's top 10 universities to investigate if any of their co-authors was an UG. Articles with UG co-authors were further assessed to determine, along with other variables: the type of study design, field of the article, publishing journal and its impact factor (IF), and number of received citations. RESULTS: Out of 25 152 publications, 2537 articles (10.1%) contained at least one UG co-author who was the first author in 635 papers (25%). Articles with UG co-authors were published in 1114 journals with a median IF of 3.661. Most UGs' co-authored publications (82.7%, n = 2098) were cited at least once within 1 year, for a median of three citations per article. CONCLUSION: UGs contributed to one in every 10 publications affiliated to top universities. Their papers were published in journals with good IFs and received a fair number of citations, which would reflect the relatively good quality and impact of these articles.

Modeling traffic accident occurrence and involvement.

The Negative Binomial modeling technique was used to model the frequency of accident occurrence and involvement. Accident data over a period of 3 years, accounting for 1,606 accidents on a principal arterial in Central Florida, were used to estimate the model. The model illustrated the significance of the Annual Average Daily Traffic (AADT), degree of horizontal curvature, lane, shoulder and median widths, urban/rural, and the section's length, on the frequency of accident occurrence. Several Negative Binomial models of the frequency of accident involvement were also developed to account for the demographic characteristics of the driver (age and gender). The results showed that heavy traffic volume, speeding, narrow lane width, larger number of lanes, urban roadway sections, narrow shoulder width and reduced median width increase the likelihood for accident involvement. Subsequent elasticity computations identified the relative importance of the variables included in the models. Female drivers experience more accidents than male drivers in heavy traffic volume, reduced median width, narrow lane width, and larger number of lanes. Male drivers have greater tendency to be involved in traffic accidents while speeding. The models also indicated that young and older drivers experience more accidents than middle aged drivers in heavy traffic volume, and reduced shoulder and median widths. Younger drivers have a greater tendency of being involved in accidents on roadway curves and while speeding.