66 research outputs found

    Effect of atorvastatin combined with interventional therapy for acute myocardial infarction

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    Purpose: To evaluate the coronary thrombolytic effect of atorvastatin plus percutaneous coronary intervention (PCI) for the treatment of acute myocardial infarction.Methods: From April 2019 to October 2020, 88 patients with acute myocardial infarction who were treated in Zhangqiu District People's Hospital were randomly assigned to receive either PCI (conventional group) or PCI plus atorvastatin (combined group). Myocardial injury index, TnI, and creatine kinase isoenzyme (CK-MB) were used to determine myocardial injury, while serum cTnI was determined using enzyme-linked immunosorbent assay (ELISA). Creatine kinase isoenzyme (CK-MB) levels were determined by immunosuppression method. Cardiac ultrasound was used to measure and compare the left ventricular end-diastolic diameter (LVEDD), left ventricular ejection fraction (LVEF), and left ventricular end-systolic diameter (LVESD) before and after treatment in the two groups. Blood lipid levels were determined before and after drug administration, respectively, while the levels of highdensity lipoprotein cholesterol (HDL-C) were determined using a colorimetric method. Total cholesterol (TC) and triacylglycerol (TG) were assessed by an enzymatic method, while low-density lipoprotein cholesterol (LDL-C) was determined using a biochemical method. Serum B-type natriuretic peptide (BNP), c-reactive-protein (CRP), and interleukin (IL)-6 levels were evaluated in an automatic biochemical analyzer. The incidence of adverse reactions during treatment, including creatinine elevation, muscle pain, and gastrointestinal reactions and their frequencies were computed.Results: The combined group exhibited significantly lower levels of myocardial injury indices when compared with the conventional group (p < 0.05). Atorvastatin plus PCI resulted in significantly higher left ventricular ejection fraction (LVEF), and lower left ventricular end-diastolic dimension (LVEDD) as well as left ventricular end-systolic diameter (LVESD) in patients when compared with PCI alone group (p < 0.05). After treatment, the combined group showed significantly healthier levels of low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) compared with the conventional group (p < 0.05).Conclusion: Atorvastatin plus PCI mitigates myocardial injury and lowers cardiac function, lipid indices, serum B type natriuretic peptide (BNP), C-reactive-protein (CRP), and interleukin (IL)-6 levels. It also reduces the incidence of adverse events during treatment. Thus, this therapeutic strategy has potentials for application in the management of acute myocardial infarction

    Structures and Anomalies of Water

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    Introduction of the principles of the asymmetrical, short-range O:H-O coupled oscillater pair and the basic rule for water ice, which reconciles the structure and anomalies of water ice.Comment: 20 pages. In Chines

    Efecto del desarrollo económico en la mortalidad relacionada con el transporte, entre diferentes tipos de usuarios de las vías: un estudio transversal internacional

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    Introducción: La relación entre el estado de desarrollo económico de un país y su tasa de mortalidad por colisiones de vehículos de motor (CVM) no ha sido definida para los diferentes tipos de usuarios de las vías. Métodos: Este artículo presenta un análisis de regresión transversal con datos recientes de mortalidad en 44 países, utilizando datos de certificados de defunción provenientes de la Organización Mundial de la Salud. Resultados: Para cinco tipos de usuarios de las vías, la mortalidad por CVM es expresada como muertes por 100.000 habitantes, y muertes por 1.000 vehículos de motor. El desarrollo económico es medido como el Producto Interno Bruto (PIB) per cápitaen dólares de Estados Unidos, y como vehículos de motor por 1.000 habitantes. Los resultados mostraron que la mortalidad total por CVM en los países con bajos ingresos presentó un pico a un PIB alrededor de US 2.000percaˊpita,ycercade100vehıˊculospor1.000habitantes.Conclusiones:Lamortalidadtotaldisminuyoˊconelincrementodelingresonacionalalrededor deUS2.000 per cápita, y cerca de 100 vehículospor 1.000habitantes.Conclusiones: La mortalidad total disminuyó con el incremento del ingreso nacional alrededor de US 24.000. La mayoría de los cambios en la mortalidad por CVM asociados con el desarrollo económico fueron explicados por cambios en las tasas de usuarios nomotorizados, especialmente de peatones. Las tasas totales de CVM fueron más bajas cuando la exposición de los peatones fue menor o porque hubo pocos vehículos de motor o peatones; y fueron más altas durante un periodo crítico de transición hacia transporte motorizado, cuando gran cantidad de peatones y otros usuarios vulnerables compitieron por el uso de las vías con vehículos de motor.AbstractIntroduction: The relationship between a country’s economic development and its fatality rate from motor vehicle accidents (MVA) has not been studied according to the different types of users of public thoroughfares. Methodology: This article presents a cross analysis of recent mortality data from 44 countries through the use of information found in the death certifications supplied by the World Health Organization. Results: For five types of users of public roadways the mortality rate by MVA is presented as deaths per 100,000 inhabitants and deaths per 1000 motor vehicles. Economic development is measured by the per capita GDP (Gross Domestic Product) in US dollars and the number of motor vehicles per 1000 inhabitants. The results showed that the total mortality rate by MVA in low income countries reached a peak at a GDP of around US 2000percapitaandaround100motorvehiclesper1000inhabitants. Conclusions:TheoverallmortalityratediminishedwiththeincreaseofnationalincomeataroundUS2000 per capita and around 100 motor vehicles per 1000 inhabitants. Conclusions: The overall mortality rate diminished with the increase of national incomeat around US 24,000. The majority of the changes in fatality by MVA in association with economic development were explained by changes in the number of nonmotorized users of public ways, especially pedestrians. The total number of MVA was reduced when the exposure of pedestrians to motorized traffic was lower either because there were fewer motor vehicles or because there were fewer pedestrians. The rate was higher during critical periods of transition towards more motorized transportation when many pedestrians and other non-motorized users of public thoroughfares were competing for space with increased numbers of motorized vehicles. Key words: Transit accidents, fatalities, economic developmen

    Efecto del desarrollo económico en la mortalidad relacionada con el transporte, entre diferentes tipos de usuarios de las vías: un estudio transversal internacional.

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    Este artículo presenta un análisis de regresión transversal con datos recientes de mortalidad en 44 países, utilizando datos de certificados de defunción provenientes de la Organización Mundial de la Salud

    RDAD: A Machine Learning System to Support Phenotype-Based Rare Disease Diagnosis

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    DNA sequencing has allowed for the discovery of the genetic cause for a considerable number of diseases, paving the way for new disease diagnostics. However, due to the lack of clinical samples and records, the molecular cause for rare diseases is always hard to identify, significantly limiting the number of rare Mendelian diseases diagnosed through sequencing technologies. Clinical phenotype information therefore becomes a major resource to diagnose rare diseases. In this article, we adopted both a phenotypic similarity method and a machine learning method to build four diagnostic models to support rare disease diagnosis. All the diagnostic models were validated using the real medical records from RAMEDIS. Each model provides a list of the top 10 candidate diseases as the prediction outcome and the results showed that all models had a high diagnostic precision (≥98%) with the highest recall reaching up to 95% while the models with machine learning methods showed the best performance. To promote effective diagnosis for rare disease in clinical application, we developed the phenotype-based Rare Disease Auxiliary Diagnosis system (RDAD) to assist clinicians in diagnosing rare diseases with the above four diagnostic models. The system is freely accessible through http://www.unimd.org/RDAD/
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