23 research outputs found

    Predictive Markers of Coagulopathy in COVID-19 Infection: A Meta Narrative Review

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    In late 2019, COVID was initially discovered in Wuhan, China, and the COVID-19 pandemic primarily began in early 2020. Along with respiratory distress, COVID-19 patients had an increased risk of forming abnormal clotting. In ICU COVID-19 patients, abnormal clotting increases the risk of mortality by approximately 74% (Montiel et al., 2022). The aim for this meta-narrative review was to identify what hemostatic parameters are predictive of coagulopathy in COVID-19 patients. Determining predictive markers of coagulopathy in COVID-19 infection may allow for early identification of severe cases before bleeding and thrombotic manifestations occur. The review included articles primarily from PubMed and were published between 2020 and 2022. After screening for eligibility, seven articles were deemed fit to be included. Our findings indicate that elevated D-dimer levels were the most common predictive hemostatic parameter utilized, along with elevated Von Willebrand Factor, elevated Factor VIII, and decreased fibrinogen levels. COVID-19 patients that presented with these parameters upon admission were highly likely to experience clotting events such as deep vein thrombosis and pulmonary embolism. Although many of the articles in this review focused on elevated D-dimer as an early marker of coagulopathy, one study found that elevated soluble thrombomodulin was the best predictor of coagulopathy in COVID patients. Future research will be needed to confirm soluble thrombomodulin’s ability as a predictive parameter and compare its suggestive power to D-dimer levels. Clinical trials will also be needed to assess how these predictive markers can be used to inform prophylactic treatment in COVID-19 patients.https://openworks.mdanderson.org/rmps/1003/thumbnail.jp

    Genetic Differences in Dorsal Hippocampus Acetylcholinesterase Activity Predict Contextual Fear Learning Across Inbred Mouse Strains.

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    Learning is a critical behavioral process that is influenced by many neurobiological systems. We and others have reported that acetylcholinergic signaling plays a vital role in learning capabilities, and it is especially important for contextual fear learning. Since cholinergic signaling is affected by genetic background, we examined the genetic relationship between activity levels of acetylcholinesterase (AChE), the primary enzyme involved in the acetylcholine metabolism, and learning using a panel of 20 inbred mouse strains. We measured conditioned fear behavior and AChE activity in the dorsal hippocampus, ventral hippocampus, and cerebellum. Acetylcholinesterase activity varied among inbred mouse strains in all three brain regions, and there were significant inter-strain differences in contextual and cued fear conditioning. There was an inverse correlation between fear conditioning outcomes and AChE levels in the dorsal hippocampus. In contrast, the ventral hippocampus and cerebellum AChE levels were not correlated with fear conditioning outcomes. These findings strengthen the link between acetylcholine activity in the dorsal hippocampus and learning, and they also support the premise that the dorsal hippocampus and ventral hippocampus are functionally discrete

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

    Predicting Surface Tension of Liquid Organic Solvents

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    Screening Alternative Degreasing Solvents Using Multivariate Analysis

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    Treatment of Dupuytren\u27s Contracture With Collagenase: A Systematic Review

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    This systematic review investigates complications and recurrence of Dupuytren\u27s contracture in metacarpophalangeal joints (MCPJs) and/or proximal interphalangeal joints (PIPJs) of fingers treated with collagenase clostridium histolyticum (CCH). A review of the literature on Dupuytren\u27s disease was performed using PRISMA guidelines. Included publications described complications and/or recurrences for contractures ≥20° in MCPJs and/or PIPJs treated with CCH. Successful treatments reduced contractures to ≤5° immediately. Treatment-related adverse events (AEs) were classified as minor, major surgical, and major nonsurgical. Contracture recurrence involved return of fixed-flexion contracture ≥20° in a successfully treated finger in patients with ≥12 months of follow-up. Of 2675 patients (3753 joints), 94% experienced ≥1 treatment-related AE, most commonly peripheral edema (64%), pain in extremity (53%), and contusion (51%). Major surgical complications occurred in 9 patients (1.0%). Major nonsurgical complications occurred in 2 patients, specifically nonrupture tendon injury and anaphylaxis. Of 1488 patients (2069 joints), recurrences were reported in 23% of successfully treated joints (n = 466; 20% MCPJs, 28% PIPJs), on average 12 to 24 months after treatment. MCPJs achieved greater success than PIPJs in initial contracture reduction (77% versus 36%). CCH is a safe, effective treatment to improve hand function in Dupuytren\u27s contracture. Most AEs are minor and self-resolving, although the risk of major AEs still exists. Following treatment, 23% of successfully treated joints experience recurrence, typically within 12 to 24 months but sometimes as early as 6 months. Surgeons are encouraged to discuss these risks with patients for shared decision-making regarding optimal treatment modalities
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