123 research outputs found

    HIV: Make the Diagnosis and Take the Next Step

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    With the CDC urging screening for all willing patients, providers will be testing and managing a growing number of HIV-positive individuals. The CDC estimates that with more than 40,000 new infections annually, more than 1.2 million people in the United States are living with HIV-and 24% to 27% may not be aware of their infection status.1 Studies have shown that HIV is often diagnosed late in the disease process, when the individual has already developed AIDS, which typically occurs 8 to 11 years after HIV infection.2 Research also points to missed opportunities to offer HIV testing and diagnose the infection before AIDS develops, which would enable the newly diagnosed individuals to employ precautions to protect their partners from becoming infected.3,4 Almost half of HIV transmissions studied by Brenner et al were attributed to transmission by newly infected persons. In response to these issues, the CDC put forth revised recommendations for HIV testing that encourage screening for patients in all healthcare settings after the person is notified that testing will be performed, unless he or she declines (opt-out screening).4 Primary-care providers need a better understanding of trends in HIV infection and what to do when an HIV test is positive. In a recent survey of 1,165 primarycare providers, 54% of the respondents reported treating HIV-positive individuals, with 43% indicating an increased or a dramatically increased caseload over the past year

    Building an IT Taxonomy with Co-occurrence Analysis, Hierarchical Clustering, and Multidimensional Scaling

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    Different information technologies (ITs) are related in complex ways. How can the relationships among a large number of ITs be described and analyzed in a representative, dynamic, and scalable way? In this study, we employed co-occurrence analysis to explore the relationships among 50 information technologies discussed in six magazines over ten years (1998-2007). Using hierarchical clustering and multidimensional scaling, we have found that the similarities of the technologies can be depicted in hierarchies and two-dimensional plots, and that similar technologies can be classified into meaningful categories. The results imply reasonable validity of our approach for understanding technology relationships and building an IT taxonomy. The methodology that we offer not only helps IT practitioners and researchers make sense of numerous technologies in the iField but also bridges two related but thus far largely separate research streams in iSchools - information management and IT management

    Impact of an Adherence Program on the Health and Outlook of HIV-Infected Patients Failing Antiretroviral Therapy

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    Background: We prospectively studied the impact of an adherence counselor on the outcome of patients failing antiretroviral therapy because of nonadherence. Methods: Forty-six patients, identified as chronically nonadherent were enrolled. Individual attention was provided using the information, motivation and behavioral methodology. HIV RNA (viral load, in copies/mL), CD4 count (in cells/[mm.sup.3]), and body weight before and after the adherence counselor were measured. Qualitative outcome and patient satisfaction were assessed by deidentified third-party interviews. Results: Over half completed at least 1 year; only 8 patients were lost to follow-up. Mean CD4 counts increased significantly (P \u3c .05) for completers at 6 and 12 months. Viral loads decreased between baseline and 6 months. Most clients reported subjective benefit from working with the adherence counselor. Conclusion: Although few clients showed complete virologic suppression, the value of an adherence counselor was validated. Longer term adherence programs should be evaluated

    A Statewide Intervention Reduces BMI in Adults: Shape Up Rhode Island Results

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    Given the epidemic of obesity, approaches to weight loss that can be applied on a community, state, or national level are needed. We report results from Shape Up Rhode Island 2007 (SURI), a state-wide Internet based program involving team-based competition to increase physical activity and achieve weight loss. A total of 4,717 adults (84% female; mean BMI = 29.6 kg/m2 ) enrolled in the 16 week weight loss competition of SURI and 3311 completed at least 12 weeks. Completers reported losing 3.2 ± 3.4 kg, and 30% achieved a clinically significant weight loss of 5% or more. Although modest, these weight losses shifted the BMI distribution from a mean BMI of 29.4 to 28.2 kg/m2 and reduced the population that was obese from 39% to 31%. More conservative intent-to-treat analyses and analysis of 132 participants with objective weights still showed a significant reduction in BMI of −0.8 units. These findings suggest that state-wide weight loss campaigns can produce modest weight losses in large numbers of participants. These data provide a bench-mark that can be used for comparisons with other state-wide campaigns. Research on ways to improve such campaigns is needed

    The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

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    The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

    Y1 and Y5 Receptors Are Both Required for the Regulation of Food Intake and Energy Homeostasis in Mice

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    Neuropeptide Y (NPY) acting in the hypothalamus is one of the most powerful orexigenic agents known. Of the five known Y receptors, hypothalamic Y1 and Y5 have been most strongly implicated in mediating hyperphagic effects. However, knockout of individual Y1 or Y5 receptors induces late-onset obesity – and Y5 receptor knockout also induces hyperphagia, possibly due to redundancy in functions of these genes. Here we show that food intake in mice requires the combined actions of both Y1 and Y5 receptors. Germline Y1Y5 ablation in Y1Y5−/− mice results in hypophagia, an effect that is at least partially mediated by the hypothalamus, since mice with adult-onset Y1Y5 receptor dual ablation targeted to the paraventricular nucleus (PVN) of the hypothalamus (Y1Y5Hyp/Hyp) also exhibit reduced spontaneous or fasting-induced food intake when fed a high fat diet. Interestingly, despite hypophagia, mice with germline or hypothalamus-specific Y1Y5 deficiency exhibited increased body weight and/or increased adiposity, possibly due to compensatory responses to gene deletion, such as the decreased energy expenditure observed in male Y1Y5−/− animals relative to wildtype values. While Y1 and Y5 receptors expressed in other hypothalamic areas besides the PVN – such as the dorsomedial nucleus and the ventromedial hypothalamus – cannot be excluded from having a role in the regulation of food intake, these studies demonstrate the pivotal, combined role of both Y1 and Y5 receptors in the mediation of food intake
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