37 research outputs found

    Validation of Different Combination of Three Reversing Half-Hitches Alternating Posts (RHAPs) Effects on Arthroscopic Knot Integrity

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    Introduction. With arthroscopic techniques being used, the importanceof knot tying has been examined. Previous literaturehas examined the use of reversing half-hitches on alternatingposts (RHAPs) on knot security. Separately, there has been researchregarding different suture materials commonly used inthe operating room. The specific aim of this study was to validatethe effect of different stacked half-hitch configuration anddifferent braided suture materials on arthroscopic knot integrity. Methods. Three different suture materials tied withfive different RHAPs in arthroscopic knots were compared.A single load-to-failure test was performed andthe mean ultimate clinical failure load was obtained. Results. Significant knot holding strength improvement wasfound when one half-hitch was reversed as compared to baselineknot. When two of the half-hitches were reversed, therewas a greater improvement with all knots having a mean ultimateclinical failure load greater than 150 newtons (N). Comparisonof the suture materials demonstrated a higher meanultimate clinical failure load when Force Fiber® was used andat least one half-hitch was reversed. Knots tied with eitherForce Fiber® or Orthocord® showed 0% chance of knot slippagewhile knots tied with FiberWire® or braided fishing linehad about 10 and 30% knot slippage chances, respectively. Conclusion. A significant effect was observed in regards to bothstacked half-hitch configuration and suture materials used onknot loop and knot security. Caution should be used with tyingthree RHAPs in arthroscopic surgery, particularly witha standard knot pusher and arthroscopic cannulas. The findingsof this study indicated the importance of three RHAPsin performing arthroscopic knot tying and provided evidenceregarding discrepancies of maximum clinical failure loads observedbetween orthopaedic surgeons, thereby leading to bettersurgical outcomes in the future. KS J Med 2017;10(2):35-39

    Phlebotominae (Diptera: Psycodidae) fauna in the Chaco region and Cutaneous Leishmaniasis transmission patterns in Argentina

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    In Argentina, the incidence of American Cutaneous Leishmaniasis (ACL) has shown a steady increase over the last few decades. In the Chaco biogeographical region, specifically, several outbreaks of ACL were recently reported in addition to the usual time-space scattering of ACL cases. However, little is known about the sandfly composition in the eastern, humid Chaco (HC) region or the western, dry Chaco (DC) region. Therefore, phlebotomine captures were performed throughout this region and an analysis of the distribution of reported ACL cases was conducted in order to assess the vector diversity in ACL endemic and epidemic scenarios in the Chaco region. The results support the hypothesis of two distinct patterns: (1) the DC, where Lutzomyia migonei was the most prevalent species, had isolated ACL cases and a zoonotic cycle; (2) the HC, where Lutzomyia neivai was the most prevalent species, had an increase in ACL incidence and outbreaks and an anthropozoonotic cycle. The epidemic risk in the Chaco region may be associated with the current climate trends, landscape modification, connection with other ACL foci, and Lu. neivai predominance and abundance. Therefore, changes in sandfly population diversity and density in the Chaco region are an indicator of emergent epidemic risk in sentinel capture sites

    Testing a global standard for quantifying species recovery and assessing conservation impact.

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    Recognizing the imperative to evaluate species recovery and conservation impact, in 2012 the International Union for Conservation of Nature (IUCN) called for development of a "Green List of Species" (now the IUCN Green Status of Species). A draft Green Status framework for assessing species' progress toward recovery, published in 2018, proposed 2 separate but interlinked components: a standardized method (i.e., measurement against benchmarks of species' viability, functionality, and preimpact distribution) to determine current species recovery status (herein species recovery score) and application of that method to estimate past and potential future impacts of conservation based on 4 metrics (conservation legacy, conservation dependence, conservation gain, and recovery potential). We tested the framework with 181 species representing diverse taxa, life histories, biomes, and IUCN Red List categories (extinction risk). Based on the observed distribution of species' recovery scores, we propose the following species recovery categories: fully recovered, slightly depleted, moderately depleted, largely depleted, critically depleted, extinct in the wild, and indeterminate. Fifty-nine percent of tested species were considered largely or critically depleted. Although there was a negative relationship between extinction risk and species recovery score, variation was considerable. Some species in lower risk categories were assessed as farther from recovery than those at higher risk. This emphasizes that species recovery is conceptually different from extinction risk and reinforces the utility of the IUCN Green Status of Species to more fully understand species conservation status. Although extinction risk did not predict conservation legacy, conservation dependence, or conservation gain, it was positively correlated with recovery potential. Only 1.7% of tested species were categorized as zero across all 4 of these conservation impact metrics, indicating that conservation has, or will, play a role in improving or maintaining species status for the vast majority of these species. Based on our results, we devised an updated assessment framework that introduces the option of using a dynamic baseline to assess future impacts of conservation over the short term to avoid misleading results which were generated in a small number of cases, and redefines short term as 10 years to better align with conservation planning. These changes are reflected in the IUCN Green Status of Species Standard

    Reverse Flipping Technique: An Alternate Approach to Tie Reversing Half-Hitches on Alternating Posts

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    Arthroscopic knot tying requires practice and attention to detail, especially tying the 3 reversing half-hitches on alternating posts (RHAPs) in a knot. Mistakes can occur that result in an unintentional tension (>10 N) applied to the wrapping suture limb, and by placing tension in the wrong limb, the previously “flipped” half-hitch is converted from a series of RHAPs into a series of identical half-hitches on the same post, thereby producing insecure knots or suture loops. This was hypothesized to be a source of knot failure by knot slippage. This error can be avoided by using a technique we describe as “reverse flipping,” which purposely “flips” the half-hitch down at the main knot while tying the 3 RHAPs in a knot, and then the half-hitch is retightened using either a past-pointing or over-pointing technique. This way the surgeon can be absolutely sure that the half-hitch is tightened in the direction that it was intended to be placed, and can also prevent the unintentional tension applied to the wrapping suture limb that causes the half-hitch to “flip.” However, caution should be used when tensioning the half-hitches; overtensioning (>40 N) during past-pointing or over-pointing could also potentially “flip” the previous half-hitch that has already been tightened and cause potential knot failure

    Orthology detection combining clustering and synteny for very large datasets

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    The elucidation of orthology relationships is an important step both in gene function prediction as well as towards understanding patterns of sequence evolution. Orthology assignments are usually derived directly from sequence similarities for large data because more exact approaches exhibit too high computational costs. Here we present PoFF, an extension for the standalone tool Proteinortho, which enhances orthology detection by combining clustering, sequence similarity, and synteny. In the course of this work, FFAdj-MCS, a heuristic that assesses pairwise gene order using adjacencies (a similarity measure related to the breakpoint distance) was adapted to support multiple linear chromosomes and extended to detect duplicated regions. PoFF largely reduces the number of false positives and enables more fine-grained predictions than purely similarity-based approaches. The extension maintains the low memory requirements and the efficient concurrency options of its basis Proteinortho, making the software applicable to very large datasets

    The Impact of Spatial Delineation on the Assessment of Species Recovery Outcomes

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    In 2021, the International Union for Conservation of Nature (IUCN) introduced a novel method for assessing species recovery and conservation impact: the IUCN Green Status of Species. The Green Status standardizes recovery using a metric called the Green Score, which ranges from 0% to 100%. This study focuses on one crucial step in the Green Status method—the division of a species’ range into so-called “spatial units”—and evaluates whether different approaches for delineating spatial units affect the outcome of the assessment (i.e., the Green Score). We compared Green Scores generated using biologically based spatial units (the recommended method) to Green Scores generated using ecologically based or country-based spatial units for 29 species of birds and mammals in Europe. We found that while spatial units delineated using ecoregions and countries (fine-scale) produced greater average numbers of spatial units and significantly lower average Green Scores than biologically based spatial units, coarse-scale spatial units delineated using biomes and countries above a range proportion threshold did not differ significantly from biologically based results for average spatial unit number or average Green Score. However, case studies focusing on results for individual species (rather than a group average) showed that, depending on characteristics of the species’ distribution, even these coarse-scale delineations of ecological or country spatial units often over- or under-predict the Green Score compared to biologically based spatial units. We discuss cases in which the use of ecologically based or country-based spatial units is recommended or discouraged, in hopes that our results will strengthen the new Green Status framework and ensure consistency in application
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