1,354 research outputs found

    A hybrid decision support model to discover informative knowledge in diagnosing acute appendicitis

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    BACKGROUND: The aim of this study is to develop a simple and reliable hybrid decision support model by combining statistical analysis and decision tree algorithms to ensure high accuracy of early diagnosis in patients with suspected acute appendicitis and to identify useful decision rules. METHODS: We enrolled 326 patients who attended an emergency medical center complaining mainly of acute abdominal pain. Statistical analysis approaches were used as a feature selection process in the design of decision support models, including the Chi-square test, Fisher's exact test, the Mann-Whitney U-test (p < 0.01), and Wald forward logistic regression (entry and removal criteria of 0.01 and 0.05, or 0.05 and 0.10, respectively). The final decision support models were constructed using the C5.0 decision tree algorithm of Clementine 12.0 after pre-processing. RESULTS: Of 55 variables, two subsets were found to be indispensable for early diagnostic knowledge discovery in acute appendicitis. The two subsets were as follows: (1) lymphocytes, urine glucose, total bilirubin, total amylase, chloride, red blood cell, neutrophils, eosinophils, white blood cell, complaints, basophils, glucose, monocytes, activated partial thromboplastin time, urine ketone, and direct bilirubin in the univariate analysis-based model; and (2) neutrophils, complaints, total bilirubin, urine glucose, and lipase in the multivariate analysis-based model. The experimental results showed that the model with univariate analysis (80.2%, 82.4%, 78.3%, 76.8%, 83.5%, and 80.3%) outperformed models using multivariate analysis (71.6%, 69.3%, 73.7%, 69.7%, 73.3%, and 71.5% with entry and removal criteria of 0.01 and 0.05; 73.5%, 66.0%, 80.0%, 74.3%, 72.9%, and 73.0% with entry and removal criteria of 0.05 and 0.10) in terms of accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under ROC curve, during a 10-fold cross validation. A statistically significant difference was detected in the pairwise comparison of ROC curves (p < 0.01, 95% CI, 3.13-14.5; p < 0.05, 95% CI, 1.54-13.1). The larger induced decision model was more effective for identifying acute appendicitis in patients with acute abdominal pain, whereas the smaller induced decision tree was less accurate with the test data. CONCLUSIONS: The decision model developed in this study can be applied as an aid in the initial decision making of clinicians to increase vigilance in cases of suspected acute appendicitis

    Treatment of Two Level Artificial Disc Replacement for Cervical Spondylotic Myelopathy

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    Cervical spondylotic myelopathy (CSM) is a common spinal disorder caused by compression of the spinal cord, due to degeneration of the cervical spine. We investigated post-operative results and suggest artificial disc replacement (ADR) as an effective surgical method for treating CSM. We present the case of a 36-year-old man, with nuchal pain; severe paresthesia of both upper and lower extremities; and pain, motor weakness, and difficulty in fine motor control of both hands. A cervical X-ray showed spondylotic changes at the C5-6, C6-7 level and MRI revealed cord compression at the C5-6, C6-7 level. ADR was performed at the C5-6, C6-7 level. After the surgery, the motor weakness of both upper extremities and paresthesia of both aspects improved. In addition, the JOA score and Nurick grade improved. A post-operative X-ray showed well positioned instruments, and post- operative MRI displayed no lesions of cord compression. Anterior cervical discectomy and fusion (ACDF) is widely accepted as a leading treatment for CSM, but ACDF may cause adjacent segment disease (ASD). We suggest that ADR also can represent a good surgical procedure for the management of multilevel spinal cord compression, as it can preserve cervical motion while avoiding AS

    Engineering PSU\u27s Future: An Interview with Dr. Rahmat Shoureshi

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    PSU’s ninth president, Dr. Rahmat Shoureshi (pronounced Shoe-re-she) is an experienced administrator and innovative academic who considers his work with students his greatest accomplishment. Shoureshi is a mechanical engineer who earned a master’s degree and a doctorate from the Massachusetts Institute of Technology. Shoureshi says PSU’s commitment to diversity, civic engagement and innovation persuaded him to join the university

    Cardiovascular outcomes with glucagon-like peptide 1 agonists and sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes: A meta-analysis

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    Background: According to available research, there have been no head-to-head studies comparing the effect of glucagon-like peptide 1 (GLP-1) agonists and sodium-glucose cotransporter 2 (SGLT-2) inhibitors on cardiovascular outcomes among patients with type 2 diabetes not reaching glycemic goal with metformin. Methods: Relevant studies were identified through electronic searches of PubMed and EMBASE published up to January 15, 2020. Efficacy outcomes of interest included the composite of cardiovascular death, non-fatal myocardial infarction, or non-fatal stroke, its individual components, all-cause death, and hospitalization for heart failure (HF). Safety outcomes included all suggested side effects of both agents previously reported. Results: Eleven studies, including 94,727 patients were used for the analysis. The risk of composite end point was significantly lower in both groups compared to the control group (hazard ratio [HR], 0.88, 95% confidence interval [CI] 0.85–0.92, p &lt; 0.001). The risk of hospitalization for HF was significantly lower in both groups but the magnitude of the effect was more pronounced in the SGLT-2 inhibitors group (HR 0.68, 95% CI 0.60–0.76, p &lt; 0.001) than the GLP-1 agonists group (HR 0.92, 95% CI 0.84–0.99, p = 0.03). Patients treated with GLP-1 agonists discontinued trial medications more frequently compared to conventionally treated patients because of serious side effects. Conclusions: Both GLP-1 agonists and SGLT-2 inhibitors showed comparable cardiovascular outcomes in patients with type 2 diabetes. However, the SGLT-2 inhibitors were associated with more pronounced reduction of hospitalization for HF and lower risk of treatment discontinuation than GLP-1 agonists

    Exploring the pore fluid origin and methane-derived authigenic carbonate properties in response to changes in the methane flux at the southern Ulleung Basin, South Korea

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    We investigated the geochemistry of gas, pore fluid, and methane-derived authigenic carbonate (MDAC) from four sites in the southern Ulleung Basin, South Korea. In contrast to Sites 16GH-P1 and 16GH-P5, Sites 16GH-P3, and 16GH-P4 are characterized by acoustic chimney structures associated with gas flux. The composition of gas and isotopic signatures of methane (CH4) (C1/C2+ &gt; 300, δ13CCH4 &lt; -60‰, δDCH4 ≤ -190‰) indicate microbial source CH4 at all sites. The upward migration of CH4 can affect the chemical and isotopic properties of pore fluid and gas-related byproducts (e.g., gas hydrate (GH) and MDAC) within the shallow sediments including the current sulfate-methane transition (SMT) (&lt; 5 meters below seafloor). Although no GH was found, elevated Cl- concentrations (maximum = 609 mM) with low δD and δ18O values in Site 16GH-P4 pore fluids delineate the influence of massive GH formation in deeper sediment. In contrast, relatively constant Cl-, δD, and δ18O values in fluids from Sites 16GH-P1, 16GH-P3, and 16GH-P5 indicate a predominant origin from seawater. Pore fluids also exhibit higher concentrations of H4SiO4, B, Mg2+, and K+, along with increasing alkalinity compared to seawater. These observations suggest that marine silicate weathering alters fluid chemistry within the sediment, affecting element and carbon cycles. High alkalinity (up to 60 mM) and Mg2+/Ca2+ ratios (&gt; 6) alongside decreasing Ca2+ and Sr2+ concentrations imply carbonate precipitation. MDACs with diverse morphologies, mainly composed of aragonite and magnesian calcite, and characterized by low carbon isotopic values (δ13CMDAC &lt; -31.3‰), were found at Sites 16GH-P3 and 16GH-P4. Interestingly, δ13CMDAC values at Site 16GH-P3 are clearly differentiated above and below the current SMT. High δ13CMDAC values above the SMT (&gt; -34.3‰) suggest the combined influence of seawater and CH4 migrating upward on MDAC precipitation, whereas low δ13CMDAC values below it (&lt; -41.6‰) indicate a predominant impact of CH4 on MDAC formation. Additionally, the vertical variation of δ18OMDAC values at Site 16GH-P4, compared to the theoretical values, reflects an association with GH dissociation and formation. Our findings improve the understanding of fluid, gas, and MDAC geochemistry in continental margin cold seeps, providing insights into global carbon and element cycles

    Overexpression of USF increases TGF-beta1 protein levels, but G1 phase arrest was not induced in FRTL-5 cells

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    Transforming growth factor-beta1 (TGF-beta1) is a potent inhibitor of cellular growth and proliferation by G1 phase arrest or apoptosis. We investigated the association of TGF-beta1 with the anti-proliferative effect of upstream stimulatory factor (USF) in Fischer rat thyroid cell line (FRTL-5) cells. [methyl-(3)H] thymidine uptake was measured after treatment of FRTL-5 cells with TGF-beta1 to identify its anti-proliferative effect. USF-1 and USF-2 proteins were in vitro translated, and an electrophoretic mobility shift assay was performed to identify the interaction between USF and the TGF-beta1 promoter. FRTL-5 cells were transfected with USF cDNA, and then the expression of TGF-beta1 was examined with Northern and Western blotting. The cell cycle-regulating proteins associated with TGF-beta1 were also measured. TGF-beta1 significantly inhibited [methyl-(3)H] thymidine uptake in FRTL-5 cells. Two specific binding sites for USF were found in the TGF-beta1 promoter: -1,846 approximately -1,841 (CACATG) and -621 approximately -616 (CATGTG). Overexpression of USF increased both the mRNA levels and protein levels of TGF-beta1. However, the expression of cyclin D1, CDK4, cyclin E, and CDK2, and the phosphorylation of retinoblastoma protein remained unchanged. Overexpression of USF in FRTL-5 cells increased the expression of TGF-beta10 through specific binding to TGF-beta1 promoter. However, the USF-induced expression of TGF-beta1 did not cause G1 arrest
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