11 research outputs found

    冠心病患者消化道出血后远期心血管不良事件危险因素分析及评分系统的评价

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    【目的】探讨冠心病患者消化道出血后远期发生心血管不良事件的危险因素及AIMS65、Glasgow-Blatchford(GBS)评分系统预测远期心血管不良事件的能力。【方法】回顾性分析2014年至2016年于湘雅二医院住院的冠心病合并消化道出血病人的临床资料,根据随访时是否发生心血管不良事件分组,分析两组的临床特点、发生终点事件的危险因素及评估两种评分预测效能。【结果】219例病人中,70人(31.9%)发生心血管不良事件,AIMS65及GBS评分系统预测心血管不良事件的ROC分别为0.59(P=0.035)及0.51(P=0.039),单因素分析中年龄、糖尿病、既往心梗、血红蛋白浓度、住院期间是否使用PPI、输血有意义(P<0.05),经多因素分析后血红蛋白浓度、糖尿病病史、心梗病史有统计学意义。【结论】现有的GBS评分系统及AIMS评分系统对冠心病合并消化道出血患者的远期预后的预测功能一般,并且贫血、高血压、糖尿病是这部分病人心血管不良事件发生的独立危险因素

    上皮性卵巢癌中Gal-3和Bcl-2的表达及临床意义

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    【目的】检测半乳糖凝集素-3(Gal-3)、B淋巴细胞瘤/白血病蛋白-2(Bcl-2)在上皮性卵巢癌组织中的表达,探 究二者与相关临床病理特征及预后关系,检验它们作为预测预后标记物的可能性。【方法】采用免疫组织化学方法,检测 98例上皮性卵巢癌组织、10例正常卵巢组织中Gal-3和Bcl-2的表达,分析二者与临床病理特征、预后的关系。【结果】98例 上皮性卵巢癌中,Gal-3、Bcl-2均为胞浆表达,Gal-3阳性率为76.5%(75/98),Bcl-2阳性率为51.0%(50/98),正常卵巢上皮不 表达Gal-3、Bcl-2蛋白。Gal-3与Bcl-2相关性无统计学意义。Gal-3表达与病理类型、铂敏感性相关(P = 0.043,P = 0.038), Bcl-2表达与FIGO分期相关(P = 0.029)。Cox单因素分析显示上皮性卵巢癌Gal-3表达(P = 0.008)、Bcl-2表达(P = 0.021)、 分期(P < 0.001)、铂敏感性(P < 0.001)是影响术后生存的因素,而Cox多因素分析中则只有Gal-3表达(P = 0.014)、铂敏感 性(P = 0.021)、分期(P < 0.001)才是独立预后因素。【结论】Gal-3、Bcl-2可能参与上皮性卵巢癌的发生发展。Gal-3表达与 病理类型、铂敏感性、预后相关,可能成为上皮性卵巢癌预后的独立判定因子

    Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

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    We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

    Amplitude analysis of the decays D0π+ππ+πD^0\rightarrow\pi^+\pi^-\pi^+\pi^- and D0π+ππ0π0D^0\rightarrow\pi^+\pi^-\pi^0\pi0

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    Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024*

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    Determination of the number of ψ(3686) events taken at BESIII

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    The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

    Prediction of Energy Resolution in the JUNO Experiment

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    International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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