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Capsule warning syndrome (CWS) is a group of rare clinical symptoms with frequent episodes of stereotyped neurological deficits, and easy progression to complete stroke. This study reported a case of CWS with paroxysmal speech inarticulateness and left limb weakness. Within 24 hours after intravenous thrombolysis with alteplase, the patient still had repeated episodes of stereotypical speech inarticulateness and left limb weakness. After assessing the risk, tirofiban was given within 24 hours after intravenous thrombolysis, and dual antiplatelet therapy was bridged 3 days later. The patient had no recurrence of neurological deficits. However, the timing of initiation of dual antiplatelet therapy after intravenous thrombolysis and the dual antiplatelet therapy program still need large-scale data to further explore. [ABSTRACT FROM AUTHOR]

Objective: To establish a Kunming mouse model of encephalomyocarditis virus （EMCV） infection. Methods: Kunming mouse aged 6~8 weeks, half male and female, were divided into control group and EMCV high （100 TCID50/20 g）, medium（10 TCID50/20 g） and low（1 TCID50/20 g） doses groups. The mice were weighed on 5 d, 7 d, 9 d, 11 d, 13 d and 15 d of EMCV infection. After blood was collected from the orbit, the rats were sacrificed by severed neck. The organ indexes of the heart, brain, liver and spleen were calculated; qRT-PCR was used to detect the viral loads in the heart, brain, spleen, liver and peripheral blood; qRT-PCR was used to detect the expressions of IL-1β, IL-6 and TNF-α mRNA in the heart and brain; HE staining was used to observe the pathological damage of heart and brain tissues. Results: Compared with the control group, high dose of EMCV could significantly increase the heart index（P<0.05） and extremely significantly increase spleen index（P<0.01） when mice were infected with EMCV for 5 d; results of qRT-PCR showed that the viral loads in the heart, brain, liver, spleen and peripheral blood of mice were the highest at 9 d after high-dose EMCV infection, and the viral loads in various organs of mice infected with medium and low doses of EMCV were very low; when high-dose EMCV infected mice for 9 d, the levels of IL-1β（P<0.01）, IL-6（P<0.001） and TNF-α （P<0.01） in heart and brain were significantly increased; high-dose EMCV infection for 9 d caused infiltration of inflammatory cells and vacuolated lesions in cardiac tissues. High-dose EMCV infection for 5~9 d caused thickening of the meninges in the brain tissues, dilation and hemorrhage of submeningeal blood vessels, dilation of white matter blood vessels and the formation of vascular sleeves. Conclusion: When the EMCV infection dose is 0.2 ml 100 TCID50/20 g, the Kunming mouse model of EMCV infection is successfully established. [ABSTRACT FROM AUTHOR]

Local feature information plays an important role in image segmentation, however, the referring image segmentation task is dependent on the text expression, so it is impossible to extract local feature information directly from the original reference image. In order to solve this problem, this paper proposes a specific noun-guided local feature extraction deep neural network model（NgLFNet). The NgLFNet model can automatically mine the local feature information of the object to be segmented according to the key nouns in the input text expression. Specifically, the model first obtains key nouns in text through sentence analysis; secondly, extracting corresponding features through text and image encoders, and using the key nouns to obtain local features of high-interest regions through the multihead attention mechanism; then the multi-modal features are gradually fused to learn; Finally, the decoding and correction module uses the obtained local features to perform more detailed corrections on the prediction mask to obtain the final result. The method in this paper is compared with a variety of mainstream referring segmentation methods and the experimental results show that the proposed method improves the accuracy of text-based instance segmentation task. [ABSTRACT FROM AUTHOR]

Objective To investigate the short-term poor prognosis and its influencing factors of patients with acute ischemic stroke, in order to provide reference for the formulation of measures to improve the prognosis. Methods The patients with acute ischemic stroke who were hospitalized in the hospital from December 2020 to March 2022 were selected, and they were divided into the good prognosis (≤2 points) group and the poor prognosis (≥3 points) group according to the prognosis situation (Modified Rankin Scale score on the 21st day of onset) . Then the clinical data of the two groups were compared, and the influencing factors of short-term prognosis of patients were analyzed by multivariate logistic regression analysis. Results A total of 61 patients were finally included, including 35 in the good prognosis group and 26 in the poor prognosis group. The univariate analysis showed that complications (P=0.029), high National Institutes of Health Stroke Scale (NIHSS) score at admission (P<0.001), high urea nitrogen (P=0.015), and high absolute value of neutrophil/lymphocyte (P=0.022) were the influencing factors for the short-term poor prognosis in patients with acute ischemic stroke. Multivariate logistic regression analysis showed that high NIHSS score at admission was an independent risk factor for short-term prognosis in patients with acute ischemic stroke (P=0.003). Conclusion A high NIHSS score at admission is a prognostic factor for short-term poor prognosis in patients with acute ischemic stroke, which should be paid more attention to. [ABSTRACT FROM AUTHOR]

Objective To investigate the incidence of preterm delivery, low birth weight low birth weight (LBW), and small for gestational age (SGA) in pregnant women with hepatitis B virus (HBV) infection in Hunan Province and to explore the related factors. Methods The pregnant women with HBV infection who delivered from January to December, 2021 in various midwifery institutions in Hunan Province and reported to the communication system of mother-to-child transmission of hepatitis B were investigated. Their demographic characteristics, pregnancy, hepatitis B virus-related detection, and treatment were analyzed. The incidences of preterm delivery, LBW, and SGA were calculated respectively. Multivariate logistic regression was used to analyze the influencing factors. Results A total of 28 100 pregnant women with HBV infection were included, with a premature delivery rate of 6.8% (1 899/28 100), LBW rate of 4.4% (1 224/28 100), and SGA rate of 6.9% (1 931/28 100). Risk factors for preterm delivery in pregnant women with HBV infection included maternal age of 30 to 34 years and 3 35 years (compared with 25 to 29 years old), gestational age of the first antenatal examination 3 28 weeks (compared with 1 to 12 weeks), and antiviral therapy during pregnancy. The adjusted odds ratios (aOR) were 1.40 (95%CI: 1.23-1.60》 1.97 (95%CI: 1.70-2.28), 1.15 (95%CI: 1.03-1.28), and 1.36 (95%CI: 1.16-1.59), respectively. Maternal age < 20 years old, 30 to 34 years old, and 3 35 years old, and antiviral therapy during pregnancy were risk factors for LBW, and their aOR values were 1.75 (95%CI: 1.08-3.16), 132 (95%CI: 1,13-1.54) and 1.88 (95%CI: 1.57-2.25): 135 (95%CI: 1.12-1.63), respectively. Maternal age < 20 years old, 20 to 24 years old, and antiviral therapy during pregnancy were risk factors for SGA, and their aOR values were 1.92 (95%CZ: 1.24-2.97) and 134 (95%CI: 1.14-1.56), and 1.26 (95%CI: 1.07-1.48), respectively. Birth experience was a common protective factor for preterm delivery, LBW, and SGA, and their aOR values were 0.75 (95%CI: 0.67-0.85), 0.68 (95%CI: 0.59-0.78), and 0.82 (95%CI: 0.73-0,92), respectively. Conclusion The incidence of preterm delivery, LBW\and SGA in pregnant women with HBV infection in Hunan Province is not high, and it is affected by maternal age, parity, the time of the first antenatal examination, and antiviral therapy during pregnancy. [ABSTRACT FROM AUTHOR]