Early adoption of the human papillomavirus vaccine among hispanic adolescent males in the united states

BACKGROUND: Human papillomavirus (HPV) infection is common among Hispanic males, but to the authors' knowledge little is known regarding HPV vaccination in this population. The authors examined the early adoption of the HPV vaccine among a national sample of Hispanic adolescent males.METHODS: The authors analyzed provider-verified HPV vaccination data from the 2010 through 2012 National Immunization Survey-Teen (NIS-Teen) for Hispanic males aged 13 years to 17 years (n=4238).Weighted logistic regression identified correlates of HPV vaccine initiation (receipt of ≥1 doses).RESULTS: HPV vaccine initiation was 17.1% overall, increasing from 2.8% in 2010 to 31.7% in 2012 (P<.0001). Initiation was higher among sons whose parents had received a provider recommendation to vaccinate compared with those whose parents had not (53.3% vs 9.0%; odds ratio, 8.77 [95% confidence interval, 6.05-12.70]). Initiation was also higher among sons who had visited a health care provider within the previous year (odds ratio, 2.42; 95% confidence interval, 1.39-4.23). Among parents with unvaccinated sons, Spanish-speaking parents reported much higher intent to vaccinate compared with English-speaking parents (means: 3.52 vs 2.54; P<.0001). Spanish-speaking parents were more likely to indicate lack of knowledge (32.9% vs 19.9%) and not having received a provider recommendation (32.2% vs 17.7%) as the main reasons for not intending to vaccinate (both P<.05).CONCLUSIONS: HPV vaccination among Hispanic adolescent males has increased substantially in recent years. Ensuring health care visits and provider recommendation will be key for continuing this trend. Preferred language may also be important for increasing HPV vaccination and addressing potential barriers to vaccination

Random Sierpinski network with scale-free small-world and modular structure

In this paper, we define a stochastic Sierpinski gasket, on the basis of which we construct a network called random Sierpinski network (RSN). We investigate analytically or numerically the statistical characteristics of RSN. The obtained results reveal that the properties of RSN is particularly rich, it is simultaneously scale-free, small-world, uncorrelated, modular, and maximal planar. All obtained analytical predictions are successfully contrasted with extensive numerical simulations. Our network representation method could be applied to study the complexity of some real systems in biological and information fields.Comment: 7 pages, 9 figures; final version accepted for publication in EPJ

Proposed diagnostic criteria for classical CMML, CMML variants and pre-CMML conditions

Chronic myelomonocytic leukemia (CMML) is a myeloid neoplasm characterized by dysplasia, abnormal production and accumulation of monocytic cells and an elevated risk to transform into acute leukemia. Over the past two decades, our knowledge about the pathogenesis and molecular mechanisms in CMML has increased substantially. In parallel, better diagnostic criteria and therapeutic strategies have been developed. However, many questions remain regarding prognostication and optimal therapy. In addition, there is a need to define potential pre-phases of CMML and special CMML variants, and to separate these entities from each other and from conditions mimicking CMML. To address these unmet needs, an international consensus group met in a Working Conference in August 2018 and discussed open questions and issues around CMML, its variants, and pre-CMML conditions. The outcomes of this meeting are summarized herein and include diagnostic criteria and a proposed classification of pre-CMML conditions as well as refined minimal diagnostic criteria for classical CMML and special CMML variants, including oligomonocytic CMML and CMML associated with systemic mastocytosis. Moreover, we propose diagnostic standards and tools to delineate between normal, pre-CMML and CMML entities. These criteria and standards should facilitate diagnostic and prognostic evaluations in daily practice and clinical studies in applied hematology

Identification of regulatory variants associated with genetic susceptibility to meningococcal disease

Non-coding genetic variants play an important role in driving susceptibility to complex diseases but their characterization remains challenging. Here, we employed a novel approach to interrogate the genetic risk of such polymorphisms in a more systematic way by targeting specific regulatory regions relevant for the phenotype studied. We applied this method to meningococcal disease susceptibility, using the DNA binding pattern of RELA - a NF-kB subunit, master regulator of the response to infection - under bacterial stimuli in nasopharyngeal epithelial cells. We designed a custom panel to cover these RELA binding sites and used it for targeted sequencing in cases and controls. Variant calling and association analysis were performed followed by validation of candidate polymorphisms by genotyping in three independent cohorts. We identified two new polymorphisms, rs4823231 and rs11913168, showing signs of association with meningococcal disease susceptibility. In addition, using our genomic data as well as publicly available resources, we found evidences for these SNPs to have potential regulatory effects on ATXN10 and LIF genes respectively. The variants and related candidate genes are relevant for infectious diseases and may have important contribution for meningococcal disease pathology. Finally, we described a novel genetic association approach that could be applied to other phenotypes

Plasma lipid profiles discriminate bacterial from viral infection in febrile children

Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection ar