Objective To investigate the efficacy of early, short-term, low-dose corticosteroid administration for the prevention and treatment of early acute lung injury (EALI) in patients undergoing thoracoscopic lobectomy. Methods A retrospective analysis was conducted on the clinical data of patients who underwent thoracoscopic lobectomy at the Department of Thoracic and Cardiovascular Surgery, Taihe Hospital, Hubei University of Medicine, from January 2019 to January 2022. Patients were divided into an early steroid therapy group and an observation group based on whether they received corticosteroids in the early postoperative period. In the early steroid therapy group, in addition to standard postoperative care, patients received a low-dose intravenous push of methylprednisolone (80-120 mg/d) for 3 consecutive days. In the observation group, patients received standard postoperative care without intravenous corticosteroids for the first 3 days. Chest plain CT scans were performed on postoperative day (POD) 1 and POD 3 or 4 to evaluate lung injury. CT scores and the incidence of postoperative EALI were recorded. Results A total of 521 patients were included (268 males, 253 females; age range: 11-80 years). There were 318 patients in the observation group and 203 in the early steroid therapy group. On POD 1, the incidence of EALI was 16.0% in the observation group and 13.8% in the early steroid therapy group, with no statistical difference (P=0.486). Correspondingly, there was no statistical difference in chest CT scores among EALI-positive patients between the two groups (P=0.927). On POD 3-4, the incidence of EALI was significantly lower in the early steroid therapy group (22.7%) compared to the observation group (33.6%) (P=0.007). Although chest CT scores among EALI-positive patients were lower in the early steroid therapy group, the difference was not statistically significant (P=0.377). The overall incidence of EALI within the first 4 postoperative days was significantly lower in the early steroid therapy group (26.1%) than in the observation group (37.4%) (P=0.007). Radiological progression (defined as new-onset EALI or progression of existing EALI) occurred in 14.8% of the early steroid therapy group, significantly lower than the 28.9% in the observation group (P<0.001). The early steroid therapy group had a shorter postoperative length of stay (P<0.001), while there was no statistical difference in the incidence of poor wound healing between the groups (P=0.762). Conclusion Early postoperative corticosteroid use effectively reduces the incidence of EALI on POD 3-4, lowers the risk of radiological progression, and decreases the overall incidence of postoperative EALI. This is achieved without prolonging the length of stay or increasing the risk of poor wound healing. Therefore, early administration of low-dose corticosteroids is beneficial in suppressing the occurrence and progression of EALI. Its early use is recommended for patients at high risk for postoperative EALI.

ObjectiveTo explore the possible mechanism of Yigan Fupi Prescription （抑肝扶脾方， YFP） in treating diarrhea-type irritable bowel syndrome （IBS-D） by investigating the AKT/mTOR signaling pathway. MethodsSixty SD rats were randomly divided into control group， model group， YFP low-， medium-， and high-dose group， and pinaverium bromide group， with 10 rats in each group. All groups but the control group， were subjected to 21 days of tail-clamping stimulation and 14 days of senna leaf gavage to establish a liver stagnation and spleen deficiency-type IBS-D rat model. After successful modeling， the YFP low-， medium-， and high-dose group were administered 0.96， 1.93， and 3.87 g/（kg·d） of the prescription， respectively. The pinaverium bromide group was given 13.5 mg/（kg·d）， while the control and model groups were given 10 ml/（kg·d） distilled water. All groups were administered once daily for 14 consecutive days. General conditions of the rats were recorded during the experiment， and after modeling and drug administration， body weight， Bristol stool score， abdominal withdrawal reflex （AWR） score， and histo pathology of colon tissue were observed under HE staining. ELISA was used to detect serum levels of tumor necrosis factor α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6）. Immunofluorescence was employed to detect the levels of AKT/mTOR pathway-related proteins including phosphorylated AKT （p-AKT）/AKT and phosphorylated mTOR （p-mTOR）/mTOR in the colon tissue. Western Blotting was used to detect the levels of autophagy-related proteins， including UNC-51-like kinase 1 （ULK1）， Beclin1 and LC3， and tight junction proteins including Occludin and ZO-1 in the colon tissue. ResultsAfter modeling， compared to the control group， the body weight of rats in the other groups decreased， and Bristol stool scores， as well as AWR scores under 20， 40， 60， and 80 mmHg increased （P＜0.05 or P＜0.01）. After drug administration， compared to the control group， the model group showed reduced body weight， decreased ULK1， Beclin1， LC3Ⅱ/LC3Ⅰ， Occludin， and ZO-1 protein levels in the colon tissue （P＜0.05 or P＜0.01）， and increased Bristol stool scores， AWR scores， serum TNF-α， IL-1β， and IL-6 levels， as well as p-AKT/AKT and p-mTOR/mTOR protein relative expression levels （P＜0.05 or P＜0.01）. Pathological results showed a significant reduction in goblet cells in the upper part of the glandular layer of the colon， with mild inflammatory cell infiltration. The submucosal collagen fibers were dissolved， with unclear boundaries， pale staining， and microvascular congestion and dilation. Compared with the model group， the YFP low-， medium-， and high-dose group and the pinaverium bromide group showed increased body weight， Beclin1， Occludin， and LC3Ⅱ/LC3Ⅰ protein levels （P＜0.05 or P＜0.01）， and decreased Bristol stool scores， AWR scores under 40， 60， and 80 mmHg， serum IL-1β， IL-6， TNF-α levels， and p-AKT/AKT， p-mTOR/mTOR protein relative expression levels （P＜0.05 or P＜0.01）. The pathological morphology of the rats in the YFP groups and pinaverium bromide group showed varying degrees of improvement. Compared with the pinaverium bromide group， the YFP low- and medium-dose group showed increased AWR scores under 20， 40， and 60 mmHg （P＜0.05）. The YFP low-dose group had reduced TNF-α， IL-1β， and IL-6 levels， and increased p-mTOR/mTOR protein relative expression levels occured in all YFP groups （P＜0.05）. Compared with the YFP low-dose group， the YFP high-dose group and pinaverium bromide group showed decreased AWR scores under different pressure levels and reduced p-AKT/AKT protein relative expression levels， while the YFP medium- and high-dose group had elevated serum TNF-α， IL-1β levels and reduced p-mTOR/mTOR protein relative expression levels （P＜0.05）. ConclusionYFP can effectively improve the pathological injury of colon tissue in IBS-D model rats with liver stagnation and spleen deficiency， reduce Bristol stool and AWR scores， and its mechanism may be related to reducing level of inflammatory factors and inhibiting AKT/mTOR pathway-related proteins in colon tissue， thereby enhancing the expression of autophagy-related proteins in the colon tissue.

The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.

Objective To establish a liquid chromatography method for the simultaneous determination of 13 aromatic amine compounds (AAs) in workplace air. Methods A total of 13 AAs in both vapor and aerosol phases were collected in workplace air using a new GDH-6 sampling tube. Samples were desorbed and eluted with methanol, separated using a Symmetry Shield™ RP₁₈ reversed-phase liquid chromatography column, and detected with a diode array detector. Quantification was performed using an external standard method. Results The linear range of the 13 AAs measured by this method was 0.02-373.60 μg/L with the correlation coefficients greater than 0.999 0. The minimum detection concentration was 0.09-14.37 μg/m³, and the minimum quantitative concentration was 0.31-47.90 μg/m³ (both calculated based on sampling 15.0 L of air and 3.0 mL of elution volume). The average desorption and elution efficiency ranged from 97.46% to 101.23%. The within-run relative standard deviation (RSD) was 0.10%-5.99%, and the between-run RSD was 0.17%-2.71%. Samples could be stably stored in sealed conditions at 2-8 ℃ for more than seven days. Conclusion This method is suitable for the simultaneous determination of 13 AAs in workplace air, including both vapor and aerosol phases.

Objective To explore the mediating role of activities of daily living (ADL) in pain and depressive symptoms in the elderly in China. Methods Utilizing the data from 2020 China Health and Retirement Longitudinal Study, 4403 Chinese elderly individuals aged ≥ 60 years old were selected as the research subjects. Depression Scale (CES-D 10) of the Center for Epidemiological Survey and ADL scale were used in the study. The PROCESS4.1 macro was used to test the mediating effect of daily living activities between pain and depressive symptoms, and the Bootstrap method was applied for verification of the mediating variables. Results A total of 2368 cases of depressive symptoms were detected in the elderly in China, with a detection rate of 53.78%. Pain was positively correlated with depressive symptoms (r=0.27, P<0.01), and activities of daily living were negatively correlated with pain and depressive symptoms (r=-0.27, -0.337, P<0.01). The results showed that the total effect value of pain on depressive symptoms was 0.33, the direct effect value was 0.24, and the mediating effect value of daily living activities was 0.09, accounting for 27.27%. Conclusion Pain and activities of daily living are important factors influencing depressive symptoms in the elderly, and activities of daily living play a partial mediating role in the relationship between pain and depressive symptoms in the elderly.

Objective To explore the application of the Autoregressive Integrated Moving Average (ARIMA) model in predicting the number of reported hepatitis E cases in Yunnan Province，to use this model to predict the incidence trend of hepatitis E, and to provide reference for the scientific prevention and control of hepatitis E. Methods Monthly reported cases of hepatitis E in Yunnan Province from 2012 to 2021 were collected. The ARIMA model was established using SPSS 27.0, and the model was validated and parameters were optimized with data from January 2022 to December 2022. The optimal fitting model was used to predict the incidence of hepatitis E in 2023. Results Hepatitis E incidence in Yunnan Province showed a certain seasonal distribution, with most cases concentrated from March to August. All parameters of ARIMA(3,1,4)(1,1,1)₁₂ passed statistical tests. The Ljung-Box test showed statistic Q =10.050, P = 0.346, residual sequence was a white noise sequence, and goodness-of-fit index stationary R² was 0.591. The model extrapolation effect was verified with 2022 data, and MAPE was 14.747, indicating that the model extrapolation effect was effective. The number of hepatitis E cases in Yunnan Province in 2023 was expected to be 1,086. Conclusion The ARIMA (3,1,4)(1,1,1)₁₂ model shows good fitting performance for hepatitis E cases in Yunnan Province and can effectively predict short-term disease trends, providing a theoretical basis for formulating prevention and control measures for hepatitis E.

Objective To analyze the correlation between serum cystatin C (Cys-C) and bone turnover markers in elderly patients with type 2 diabetes mellitus (T2DM) and osteoporosis. Methods A retrospective analysis was conducted on the data of 320 elderly patients with T2DM admitted to Huai'an First People's Hospital from August 2021 to June 2024. Patients were divided into the osteoporosis group and the non-osteoporosis group according to whether they had osteoporosis. General information, bone turnover markers, and serum Cys-C levels were collected from all patients. The data were compared between the two groups to analyze the influencing factors of osteoporosis in elderly patients with T2DM and the correlation between serum Cys-C and bone turnover markers. Results The levels of total cholesterol and LDL-C in the osteoporosis group were higher than those in the non-osteoporosis group, and the bone mineral density was lower than that in the non-osteoporosis group (P<0.05). The levels of TPINP, β-CTX, and Cys-C in the osteoporosis group were higher than those in the non-osteoporosis group, and 25-OH-D3 level was lower than that in the non-osteoporosis group (P<0.05). Serum Cys-C was positively correlated with TPINP and β-CTX, and negatively correlated with 25-OH-D₃ (P<0.05). Multivariate logistic regression analysis found that total cholesterol, LDL-C, TPINP, β-CTX, 25-OH-D₃, and Cys-C were factors influencing osteoporosis in elderly patients with T2DM (P<0.05). Conclusion Serum Cys-C levels in elderly patients with T2DM and osteoporosis are elevated. There is a significant correlation between Cys-C level and bone turnover markers.

Fatigue driving is one of the leading causes of traffic accidents, posing a significant threat to drivers and road safety. Most existing methods focus on studying whole-brain multi-channel electroencephalogram (EEG) signals, which involve a large number of channels, complex data processing, and cumbersome wearable devices. To address this issue, this paper proposes a fatigue detection method based on frontal EEG signals and constructs a fatigue driving detection model using an asymptotic hierarchical fusion network. The model employed a hierarchical fusion strategy, integrating an attention mechanism module into the multi-level convolutional module. By utilizing both cross-attention and self-attention mechanisms, it effectively fused the hierarchical semantic features of power spectral density (PSD) and differential entropy (DE), enhancing the learning of feature dependencies and interactions. Experimental validation was conducted on the public SEED-VIG dataset. The proposed model achieved an accuracy of 89.80% using only four frontal EEG channels. Comparative experiments with existing methods demonstrate that the proposed model achieves high accuracy and superior practicality, providing valuable technical support for fatigue driving monitoring and prevention.
Humans ; Electroencephalography/methods* ; Automobile Driving ; Fatigue/diagnosis* ; Accidents, Traffic/prevention & control* ; Signal Processing, Computer-Assisted ; Neural Networks, Computer ; Algorithms ; Prefrontal Cortex/physiology*

Lung cancer is a leading cause of cancer-related deaths worldwide, with its high mortality rate primarily attributed to delayed diagnosis. Radiomics, by extracting abundant quantitative features from medical images, offers novel possibilities for early diagnosis and precise treatment of lung cancer. This article reviewed the latest advancements in radiomics for lung cancer management, particularly its integration with artificial intelligence (AI) to optimize diagnostic processes and personalize treatment strategies. Despite existing challenges, such as non-standardized image acquisition parameters and limitations in model reproducibility, the incorporation of AI significantly enhanced the precision and efficiency of image analysis, thereby improving the prediction of disease progression and the formulation of treatment plans. We emphasized the critical importance of standardizing image acquisition parameters and discussed the role of AI in advancing the clinical application of radiomics, alongside future research directions.
Humans ; Lung Neoplasms/diagnosis* ; Artificial Intelligence ; Early Detection of Cancer/methods* ; Precision Medicine ; Image Processing, Computer-Assisted/methods* ; Tomography, X-Ray Computed ; Radiomics

[Objective] To explore the influencing factors of quality monitoring index on the nucleic acid pooling detection mode and continuously improve the detection quality of nucleic acid laboratory. [Methods] The quality monitoring indicators (NAT reactive rate, NAT resolution reactive rate, NAT invalid batch rate, NAT invalid result rate, equipment failure rate) and causes of invalidity in our laboratory from January 1, 2020 to December 31, 2022 were retrospectively analyzed. The quality monitoring indicators of the laboratory during 2020 to 2022 were compared longitudinally. The quality monitoring indicators of the laboratory in 2022 were compared horizontally with the overall level in Shandong for the same period to find the differences. [Results] From 2020 to 2022, a total of 218 686 samples were detected, the NAT reactive rate was 0.15‰ (32 samples in total), the resolution reactive rate was 39.02%, the invalid batch rate was 1.06%, the invalid result rate was 1.18%, and the equipment failure rate was 3.58%. There were no differences in the NAT reactive rate, NAT resolution reactive rate and NAT invalid batch rate among different years (P>0.05), but there were differences in the invalid result rate (P<0.05). Equipment failure was the main cause of invalid results (56.53%). Compared with other laboratories in Shandong, there were differences in the NAT reactive rate and invalid result rate (P<0.05). There were differences in the reaction rate, resolution rate and invalid result rate among different reagents (P<0.05). Compared with other two laboratories using the same manufacturer's reagent, there were differences in the reactive rate and invalid result rate (P<0.05), but no difference in the resolution rate and invalid batch rate (P>0.05). [Conclusion] Establishing quality indexes for process control and regular analysis can timely detect potential risks in laboratory operation. The use of quality indicators to implement self-comparison and inter-laboratory comparison can help the laboratory systematically and scientifically evaluate its own operating status and formulate corresponding quality management strategies, thereby improving the laboratory's testing capacity and ensure the safety of blood use.