Objective To investigate the colonization features of Staphylococcus aureus (S. aureus) in the skin lesions of eczema and atopic dermatitis (AD), and to evaluate the therapeutic effect of combination topical treatment with mupirocin and hydrocortisone butyrate. Methods A multicentre, double-blind randomi-zed trial was conducted. The SCORAD was evaluated on day 1, 7, 14 and 28. Swabs for bacterial isolation were taken from the lesional skin and non-lesional skin. A combination topical therapy with mupirocin ointment and hydrocortisone butyrate ointment was used in treatment group, with vehicle ointment and hydrocortisone butyrate ointment as a control. Results Three hundred and twenty seven patients were enrolled in the study, including 208 patients with eczema and 119 patients with atopic dermatitis. Bacteria were isolated from 70.19% of lesional skin and 32.69% of non-lesional skin of patients with eczema, in which S. aureus accounted for 47.26% and 27.94% respectively. Bacteria were isolated from 74.79% of the lesional skin and 34.45% of non-lesional skin of patients with atopic dermatitis, in which S. aureus accounted and 79.78% or 80.49% respectively. The amount of S. aureus colonized was markedly higher in the lesional skin than that in non-lesional skin, either in eczema patients or in atopic dermatitis (P 0.05). Conclusions The bacterial colonization, especially S. aureus, is more frequently dectected in the lesional skin of eczema patients and AD patients than that in the non-lesional skin, which may be related in the pathogenesis of eczema and AD. And, early application of combination therapy with topical antibiotics and corticosteroids is beneficial to the patients.

Objectives To study the role of interleukin-4 (IL-4) and interferon-gamma (IFN-?) in the pathogenesis of atopic dermatitis and eczema,and the changes of serum levels of IL-4 and INF-? with topical treatment of co rticosteroid plus antibiotic cream or corticosteroid cream alone.Methods Seru m levels of IL-4 and IFN-? were detected by enzyme-linked immunosorbent assa y(ELISA).Results Serum levels of IL-4 and INF-? were significantly higher in the patients with atopic dermatitis and eczema than those in the normal control s,respectively(both P

Objective To evaluate the efficacy of compound glycyrrhizin injection for the treatment of radiation-induced liver disease. Methods Sixty-six patients with the first and the second class of radiation-in-duced liver impairment were randomly divided into the trial group and the control group. Diammonium glycyrrhizinate injection and comprehensive treatment were used in the control group. Compound glycyrrhizin injec-tion and the comprehensive treatment were used in the trial group. Com-pound glycyrrhizin injection was administered intravenously with the dose 60-100 mL· d~(-1) , and the course of treatment was 4 weeks. After that, compound glycyrrhizin tablets were given with the dose 150 mg · d~(-1) for another 12 weeks. Results The treatment efficacy rate of liver-func-tion parameters of the trial group was much higher than that of the control group (P < 0. 05). Conclusion Compound glycyrrhizin injection was ef-fective and safe in the treatment of the radiation-induced liver impair-ment.

OBJECTIVETo investigate the high-risk factors for neonatal incarcerated hernia with intestinal necrosis by logistic regression analysis.

METHODSRetrospective analysis was performed on the clinical data of 131 neonates with incarcerated oblique inguinal hernia containing the intestine. Of the 131 cases, 14 suffered from intestinal necrosis. The high risk factors for neonatal incarcerated hernia with intestinal necrosis were determined by logistic regression analysis.

RESULTSManual reduction after incarceration (>2 times) (χ2 = 69.289, P<0.01), incarceration history (>2 times) (χ2 = 84.731, P<0.01), and mesentery incarceration (χ2 = 80.233, P<0.01) were the high-risk factors for neonatal incarcerated hernia with intestinal necrosis.

CONCLUSIONSIntestinal necrosis tends to occur in neonates with incarcerated hernia who have incarceration or received manual reduction more than twice and suffer from mesentery incarceration. Manual reduction is prohibited for these cases, which should be surgically treated immediately.

Female ; Hernia, Inguinal ; complications ; Humans ; Infant, Newborn ; Intestines ; pathology ; Logistic Models ; Male ; Necrosis ; Retrospective Studies ; Risk Factors

Objective:To investigate the awareness of diabetes knowledge among the health examination population and its influencing factors.Methods:A cross-sectional study. From september to november 2022, the subjects of six health examination centers located in six different cities (Beijing, Shanghai, Tianjin, Chongqing, Xiamen, Hangzhou) in China were investigated in the form of questionnaires to investigate the awareness of diabetes core information and the level of trust to different information sources of diabetes knowledge. According to the questionnaire results, the subjects were divided into a high awareness group of diabetes core information and a low awareness group. Logistic regression was used to analyze the influencing factors of diabetes core information awareness; the t-test was used to compare the trust degree of the two groups to different information sources. Results:A total of 9 315 people were included in the six centers, including 4 932 men (52.90%) with an average age of (39.36±12.64) years and 4 383 women (47.10%) with a mean age of (37.47±11.85) years. Only 36% of the people had high awareness of diabetes core information; variables such as gender, age, education level, physical examination frequency in the past three years, package price of this physical examination, self-evaluation of diabetes knowledge, diabetes status, and city of residence were variables that affect the level of awareness of core information related to diabetes (all P<0.05). Compared with the low awareness group of diabetes core information, the high awareness group trusted professional medical staff ( t=-9.597, P<0.05) and community health promotion more ( t=-5.014, P<0.05), but did not trust the emerging popular science propaganda means, such as WeChat official accounts/WeChat groups/QQ groups, Internet web page, Tiktok/Kwai and other short video APPs. Conclusion:The awareness rate of diabetes knowledge among the health examination population is low, and it is affected by many factors; Health education on diabetes knowledge should be carried out for people undergoing physical examination.

Objective To observe the oral part of the facial artery and facial vein and to provide anatomical data for clinical applica-tion. Methods The origin, branches, course, diameter, position of oral part of facial artery and facial vein were observed on 32 fixed cada-ves (64 sides). Results The position relation between the facial artery and facial vein is non-constant. Measure the distance from inferior border of mandible to corner of the mouth, angulus mandibulae, mental protuberance midpoint. It is (5. 49 ± 0. 63) cm, (2. 50 ± 0. 89) cm and (6. 20 ± 1. 68) cm in the left side respectively, and (5. 69 ± 0. 72) cm, (2. 56 ± 1. 08) cm and (6. 85 ± 1. 86) cm in the right side re-spectively. The diameter of facial artery in inferior border of mandible is (0. 33 ± 0. 08) cm in the left side and (0. 38 ± 0. 07) cm in the right side;while the diameter of facial vein is (0. 40 ± 0. 12) cm in the left side and (0. 42 ± 0. 18) cm in the right side. The facial artery and facial vein are not concomitant and they are not asymmetry also. The position of superior labial artery arteries is constant, but the position of inferior labial artery arteries have more variations. Conclusion The branches, course, diameter and position of oral part of facial artery and facial vein have a number of variations. The superior labial artery arteries could be positioned more easily than inferior labial artery arter-ies. Being familiar with their distribution is of great importance for clinical application.

Background and Objectives: p21, an important member of the Cip/Kip family, is involved in inhibitory effects of RUNX1b overexpression during the early stage of human hematopoiesis. Methods: and Results: We established a human embryonic stem cell (hESC) line with inducible expression of p21 (p21/hESCs). Overexpression of p21 did not influence either mesoderm induction or emergence of CD34＋ cells, but it significantly decreased the production of CD43＋ cells and changed the expression profile of hematopoiesis-related factors, leading to the negative effects of p21 on hematopoiesis. Conclusions In RUNX1b/hESC co-cultures when RUNX1b was induced from D0, perturbation of the cell cycle caused by upregulation of p21 probably prevented the appearance of CD43＋ cells, but not CD34＋ cells. The mechanisms via which CD34＋ cells are blocked by RUNX1b overexpression remain to be elucidated.

Objective To propose a low-dose CT reconstruction algorithm across different scanners based on federated feature learning(FedCT)to improve the generalization of deep learning models for multiple CT scanners and protect data privacy.Methods In the proposed FedCT framework,each client is assigned an inverse Radon transform-based reconstruction model to serve as a local network model that participates in federated learning.A projection-domain specific learning strategy is adopted to preserve the geometry specificity in the local projection domain.Federated feature learning is introduced in the model,which utilizes conditional parameters to mark the local data and feed the conditional parameters into the network for encoding to enhance the generalization of the model in the image domain.Results In the cross-client,multi-scanner,and multi-protocol low-dose CT reconstruction experiments,FedCT achieved the highest PSNR(+2.8048,+2.7301,and +2.7263 compared to the second best federated learning method),the highest SSIM(+0.0009,+0.0165,and +0.0131 in the same comparison),and the lowest RMSE(-0.6687,-1.5956,and-0.9962).In the ablation experiment,compared with the general federated learning strategy,the model with projection-specific learning strategy showed an average improvement by 1.18 on Q1 of the PSNR and an average decrease by 1.36 on Q3 of the RMSE on the test set.The introduction of federated feature learning in FedCT further improved the Q1 of the PSNR on the test set by 3.56 and reduced the Q3 of the RMSE by 1.80.Conclusion FedCT provides an effective solution for collaborative construction of CT reconstruction models,which can enhance model generalization and further improve the reconstruction performance on global data while protecting data privacy.

Objective To propose a CT truncated data reconstruction model(DDTrans)based on projection and image dual-domain Transformer coupled feature learning for reducing truncation artifacts and image structure distortion caused by insufficient field of view(FOV)in CT scanning.Methods Transformer was adopted to build projection domain and image domain restoration models,and the long-range dependency modeling capability of the Transformer attention module was used to capture global structural features to restore the projection data information and enhance the reconstructed images.We constructed a differentiable Radon back-projection operator layer between the projection domain and image domain networks to enable end-to-end training of DDTrans.Projection consistency loss was introduced to constrain the image forward-projection results to further improve the accuracy of image reconstruction.Results The experimental results with Mayo simulation data showed that for both partial truncation and interior scanning data,the proposed DDTrans method showed better performance than the comparison algorithms in removing truncation artifacts at the edges and restoring the external information of the FOV.Conclusion The DDTrans method can effectively remove CT truncation artifacts to ensure accurate reconstruction of the data within the FOV and achieve approximate reconstruction of data outside the FOV.

Objective To propose a low-dose CT reconstruction algorithm across different scanners based on federated feature learning(FedCT)to improve the generalization of deep learning models for multiple CT scanners and protect data privacy.Methods In the proposed FedCT framework,each client is assigned an inverse Radon transform-based reconstruction model to serve as a local network model that participates in federated learning.A projection-domain specific learning strategy is adopted to preserve the geometry specificity in the local projection domain.Federated feature learning is introduced in the model,which utilizes conditional parameters to mark the local data and feed the conditional parameters into the network for encoding to enhance the generalization of the model in the image domain.Results In the cross-client,multi-scanner,and multi-protocol low-dose CT reconstruction experiments,FedCT achieved the highest PSNR(+2.8048,+2.7301,and +2.7263 compared to the second best federated learning method),the highest SSIM(+0.0009,+0.0165,and +0.0131 in the same comparison),and the lowest RMSE(-0.6687,-1.5956,and-0.9962).In the ablation experiment,compared with the general federated learning strategy,the model with projection-specific learning strategy showed an average improvement by 1.18 on Q1 of the PSNR and an average decrease by 1.36 on Q3 of the RMSE on the test set.The introduction of federated feature learning in FedCT further improved the Q1 of the PSNR on the test set by 3.56 and reduced the Q3 of the RMSE by 1.80.Conclusion FedCT provides an effective solution for collaborative construction of CT reconstruction models,which can enhance model generalization and further improve the reconstruction performance on global data while protecting data privacy.