Abstract Early rehabilitation activity is an important way to improve functional impairment in stroke patients. However, there are no clear standards and opinions on the optimal start time, dosage and frequency of early rehabilitation activity. It is generally believed that early rehabilitation activity should start at 24 to 48 hours after stroke, and individual programs should be developed according to the assessment of stroke type, severity of disease, tolerance degree and other factors. This review searches domestic and international literature related to early rehabilitation activity and summarizes the start time, dose, frequency and content of early rehabilitation activity, as well as the cognition and attitude of medical workers towards it, so as to provide insights into studies and clinical applications of early rehabilitation activity.

Objective To understand the management status of emergency and life support medical equipment in town-ship health centers in Huazhou City,providing a reference for improving emergency service levels in grassroots medical institu-tions.Methods A convenience sampling method was used to conduct a questionnaire survey of physicians,nurses,medical technicians,public health personnel,and administrative and logistical staff in 24 township health centers in Huazhou City.The survey focused on seven aspects:procurement and configuration,upgrades,operational use,maintenance,emergency handling,management systems,and quality assessment and monitoring.Results Training on emergency and life support equipment was generally adequate in Huazhou City(65.2％).Health centers in northern and central Huazhou performed better than those in the urban and southern areas regarding equipment training,emergency handling procedures for equipment failures,regular emergency drills,meeting clinical treatment needs,management system completeness,routine maintenance and inspections,and regular quality assessments.Factor analysis revealed significant issues with equipment aging and quality in urban township health cen-ters,while northern township health centers urgently needed life-sustaining and therapeutic equipment.Conclusion There are regional disparities in the management levels of emergency and life support medical equipment in township health centers in Hua-zhou City.It is recommended to enhance the overall quality of personnel in township health centers,optimize"effective training"for staff,and improve annual management plans to further elevate grassroots emergency service capabilities.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

Objective:To predict the status of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) patients preoperatively based on the radiomics analysis of contrast-enhanced CT to provide imaging evidence for early identification of patients at high risk of recurrence.Methods:Clinical data of 40 ICC patients who underwent radical hepatectomy at Nanjing Drum Tower Hospital from January 2021 to May 2024 were retrospectively collected. Patients were divided into the MVI group ( n=8) and the non-MVI group ( n=32) according to the MVI status of the postoperative pathology report. Whether there were differences in each pathological index between the groups and the efficacy of radiomics analysis of contrast-enhanced CT for the preoperative prediction of MVI were analyzed. The regions of interest (ROI) were outlined on the arterial and venous phase images using the 3D Slicer software. Then, radiomics features were extracted from each ROI based on Python. Finally, the LASSO regression and glm function were used to screen radiomics features and establish a prediction model based on the R language. The established predictive model′s diagnostic efficacy, calibration, and net clinical benefit were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), respectively. Normally distributed measurement data were expressed as mean±standard deviation ( ± s) and compared using the t-test. Count data were expressed as frequency and compared using the chi-square test. Results:Patients in the MVI group had more poorly differentiated tumors and a significantly higher proportion of lymph node metastases ( P<0.05). The established radiomics prediction model included six features, 1 first-order statistical feature and 5 gray texture features. The area under the ROC curve was 0.87, the sensitivity was 75.0%, and the specificity was 90.6%. The calibration curve showed good agreement between the predicted MVI and actual MVI status, and the decision curve demonstrated that the model could provide a large net clinical benefit. Conclusion:Radiomics analysis of contrast-enhanced CT can identify the MVI status of ICC patients preoperatively and aid in clinical decision-making, providing vital evidence for individualized and precise treatment of ICC.

OBJECTIVE: To demonstrate the mechanism of mechanical ventilation (MV) induced endoplasmic reticulum stress (ERS) promoting mechanical ventilation-induced pulmonary fibrosis (MVPF), and to clarify the role of angiotensin receptor 1 (AT1R) during the process. METHODS: The C57BL/6 mice were randomly divided into four groups: Sham group, MV group, AT1R-shRNA group and MV+AT1R-shRNA group, with 6 mice in each group. The MV group and MV+AT1R-shRNA group mechanically ventilated for 2 hours after endotracheal intubation to establish MVPF animal model (parameter settings: respiratory rate 70 times/minutes, tidal volume 20 mL/kg, inhated oxygen concentration 0.21). The Sham group and AT1R-shRNA group only underwent intubation after anesthesia and maintained spontaneous breathing. AT1R-shRNA group and MV+AT1R-shRNA group were airway injected with the adeno-associated virus one month before modeling to inhibit AT1R gene expression in lung tissue. The expressions of AT1R, ERS signature proteins [immunoglobulin heavy chain-binding protein (BIP), protein disulfide isomerase (PDI)], fibrosis signature proteins [collagen I (COL1A1), α-smooth muscle actin (α-SMA)] in lung tissues were detected by immunofluorescence and Western blotting. Hematoxylin-eosin (HE) staining was used to evaluate lung injury and Masson staining was used to evaluate pulmonary fibrosis. RESULTS: Compared with the Sham group, the degree of pulmonary fibrosis and lung injury were more significant in the MV group. In the MV group, the protein expressions of AT1R, BIP, PDI, COL1A1 and α-SMA were increased (AT1R/β-actin: 1.40±0.02 vs. 1, BIP/β-actin: 2.79±0.07 vs. 1, PDI/β-actin: 2.07±0.02 vs. 1, COL1A1/α-Tubulin: 2.60±0.15 vs. 1, α-SMA/α-Tubulin: 2.80±0.25 vs. 1, all P < 0.01). The number of E-cad⁺/AT1R⁺ and E-cad⁺/BIP⁺ cells in lung tissue increased, and the fluorescence intensity of COL1A1 and α-SMA increased. Compared with the MV group, the degree of pulmonary fibrosis and lung injury were significantly relieved in the MV+AT1R-shRNA group. In the MV+AT1R-shRNA group, the protein expressions of AT1R, BIP, PDI, COL1A1 and α-SMA were decreased (AT1R/β-actin: 0.53±0.03 vs. 1.40±0.02, BIP/β-actin: 1.73±0.15 vs. 2.79±0.07, PDI/β-actin: 1.04±0.07 vs. 2.07±0.02, COL1A1/α-Tubulin: 1.29±0.11 vs. 2.60±0.15, α-SMA/α-Tubulin: 1.27±0.10 vs. 2.80±0.25, all P < 0.01). The number of E-cad⁺/AT1R⁺ and E-cad⁺/BIP⁺ cells in lung tissue decreased, and the fluorescence intensity of COL1A1 and α-SMA decreased. There was no statistically significant difference in the indicators between AT1R-shRNA group and Sham group. CONCLUSIONS MV up-regulate the expression of AT1R in alveolar epithelial cells, activate the AT1R pathway, induce ERS and promote the progression of MVPF.
Mice ; Animals ; Pulmonary Fibrosis/chemically induced* ; Lung Injury ; Respiration, Artificial/adverse effects* ; Actins/metabolism* ; Tubulin ; Mice, Inbred C57BL ; Endoplasmic Reticulum Stress ; RNA, Small Interfering

To further standardize the sedation and analgesia treatment for neurocritical care patients, the National Center for Healthcare Quality Management in Neurological Diseases and Chinese Society of Critical Care Medicine organized national experts in this fields to form Working group of the Expert consensus on sedation and analgesia for neurocritical care patients in order to update the Expert consensus on sedation and analgesia for patients with severe brain injury (2013) based on evidence-based medicine. This update aims to provide scientific guidance for the clinical diagnosis and treatment of neurocritical care patients. The working group followed the definition of clinical practice guidelines by the Institution of Medicine (IOM) and the World Health Organization guidelines development handbook and Guidelines for the formulation/revision of clinical guidelines in China (2022) to register and draft the Expert consensus on sedation and analgesia for neurocritical care patients. The working group will strictly adhere to the consensus development process to formulate and publish the Expert consensus on sedation and analgesia for neurocritical care patients (2023). This protocol primarily introduces the development methodology and process of the Expert consensus on sedation and analgesia for neurocritical care patients (2023), including the purpose of the update, the target population, the composition of the consensus development working group, the presentation and collection of clinical questions, evidence evaluation and summarization, and the generation of recommended opinions. This will make the consensus development process more standardized and transparent.
Humans ; Consensus ; Analgesia ; Analgesics/therapeutic use* ; Pain Management ; Critical Care

Objective:To investigate the relationship between single nucleotide polymorphism (SNPs) of Zeste homolog enhancer 2 (EZH2) gene and the risk of breast cancer.Methods:Recruiting 1 039 breast cancer patients and 1 040 controls at 22 referral hospitals nationwide in China, the genotype distribution of 3 SNPs loci of EZH2 genes was observed to detect the correlation between different genotypes and the risk of breast cancer genotypes EZH2 expression in breast cancer tissues and its correlation with patient prognosis were analyzed using breast cancer data from the database.Results:EZH2 rs6464926 CC genotype was compared with TT genotype (TT vs. CC: OR=1.362, 95% CI: 1.063-1.746, P=0.015) and dominant model (TC+TT vs .CC: OR=1.22, 95% CI: 1.004-1.483, P=0.045) .In women with BMI ≥24 kg/m 2, the TC genotype ( P=0.050), TT genotype ( P=0.025) and dominant model (TC+TT, P=0.021) of rs6464926 locus were significantly different from CC genotype in cancer risk. rs6464926 was correlated with EZH2 gene expression ( P=6.89E-47). EZH2 gene is highly expressed in breast cancer tissues, and patients with high expression were associated with shorter OS ( HR=1.27, P=0.013), DMFS ( HR=1.37, P<0.01), and RFS ( HR=1.44, P<0.01). Conclusions:The polymorphism rs6464926 of EZH2 gene is associated with breast cancer susceptibility in Chinese women. rs6464926 might regulate breast cancer risk and prognosis by changing EZH2 expression.

Objective:To analyze the situation of articles published in Journal of Leukemia & Lymphoma and provide reference for the development of the journal and better service to readers and authors. Methods:All articles published in Journal of Leukemia & Lymphoma from January 2019 to December 2021 were searched on the official website of the journal (www.bxblbl.com.cn) and the full-text database of Chinese medical journals (www.yiigle.com), and the statistical analysis of the articles published in the journal was performed using bibliometric methods and Excel software. Website readings and downloads were recorded based on data from the Chinese medical journal network publishing platform (https://app.yiigle.com/cmaapp/). Results:From January 2019 to December 2021, 36 issues of Journal of Leukemia & Lymphoma were published, containing a total of 578 articles, with an average of about 16 articles per issue. There were 222 (38.4%) original articles, 173 (29.9%) brief communications, 11 (1.9%) guidelines and consensus articles, 58 (10.0%) topic reviews, and 94 (16.3%) reviews; the degree of authorship cooperation was 5.10 (2 946/578). The first author's affiliation included 28 provinces, cities and autonomous regions. The top 10 regions were Jiangsu, Henan, Beijing, Fujian, Shanxi, Guangdong, Tianjin, Shanghai, Hebei, and Shandong, with a total of 425 (73.5%) articles. There were 257 (44.5%) funded articles, including 105 (18.2%) articles funded by national funds. The average number of citations per article was 18.6 (10 751/578). The average annual number of reads was 104 630, and the top 20 most-read articles in 2021 were mostly in the category of guidelines and consensus and topical reviews. Conclusions:Journal of Leukemia & Lymphoma has developed well in recent years, and its influence in the field of hematology-oncology has steadily increased. In the future, according to the purpose of the journal, the special columns should be further created, and the academic quality should be improved to better serve the readers and authors.

Objective:To analyze the articles and literature indicators of Cancer Research and Clinic, in order to provide reference for the development of the journal. Methods:All articles published in Cancer Research and Clinic from January 2017 to December 2021 were searched on the official website of the journal (www.zlyjylc.com.cn), and the core literature indicators of Cancer Research and Clinic published in the Citation Report of Chinese Science and Technology Journals (Core Edition) from 2018 to 2022 were searched, and the statistical analysis of the articles and literature indicators was performed using bibliometric method and Excel software. Results:From 2017 to 2021, a total of 60 issues of Cancer Research and Clinic were published, containing a total of 1 065 articles, with an average of 17.8 articles per issue; a total of 4 416 pages of articles were published, with an average of 4.1 pages per article. There were 609 original articles (57.2%), 193 brief communications (18.1%) and 224 reviews (21.0%) in the main sections. The degree of authorship cooperation was 3.84 (4 086/1 065). The first author affiliation of the article was located in 31 regions, of which the top 10 regions in terms of the number of articles published were Shanxi, Jiangsu, Beijing, Shandong, Hubei, Shaanxi, Liaoning, Guangdong, Henan, and Hebei, with a total of 822 articles (77.2%). A total of 487 articles (45.7%) were funded by the foundation, including 134 articles (12.6%) funded by the national foundations. The average number of citations per article was 19.3 (20 557/1 065); the total number of marked keywords was 4 412, with an average of 4.1 per article. The impact factor and total citation frequency in 2018 were the highest (0.680 and 775), and the rate cited, open factor and overall evaluation total score in 2021 were the highest (0.94, 42 and 29.8). Conclusions:Cancer Research and Clinic has adhered to its own purpose and formed its own characteristics, and its academic quality and influence have steadily improved in the field of oncology in China in recent years. It should continue to improve the quality and strive to be a first-class oncology journal in the future.

Objective:To explore whether brain-derived neurotrophic factor (BDNF) promoter methylation status is associated with panic disorder(PD), and then assess the effect of the BDNF gene methylation status on the severity of clinical symptoms in PD.Methods:The methylation levels of the BDNF gene were compared between 111 patients with PD and 130 matched healthy controls using MethylTarget approach.In addition, the panic disorder severity scale(PDSS), Hamilton anxiety rating scale(HAM-A), and Hamilton depression rating scale(HAM-D) were respectively assessed to all subjects.Results:(1)The result showed that 7 CpG regions from the promoter regions of the BDNF gene were sequenced.However, there was no statistically significant differences between cases and controls in terms of BDNF DNA methylation status ( OR=1.087, 95% CI=0.849-1.391, P>0.05). (2)Spearman correlation analysis revealed that the hypermethylation of BDNF gene was significantly associated with the severity of the depressive symptoms in PD patients (all P<0.05). The methylation levels of BDNF gene was not significantly related to the severity of anxiety and panic in PD patients(all P>0.05). Conclusion:No association between BDNF promoter methylation status and panic disorder is found in Chinese Han population, but BDNF promoter methylation status may be related to the severity of depressive symptoms in patient with panic disorder.