Objective: To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population. Methods: From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE). Results: The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group. Conclusion The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

Objective To propose a lung artery segmentation method that integrates shape and position prior knowledge, aiming to solve the issues of inaccurate segmentation caused by the high similarity and small size differences between the lung arteries and surrounding tissues in CT images. Methods Based on the three-dimensional U-Net network architecture and relying on the PARSE 2022 database image data, shape and position prior knowledge was introduced to design feature extraction and fusion strategies to enhance the ability of lung artery segmentation. The data of the patients were divided into three groups: a training set, a validation set, and a test set. The performance metrics for evaluating the model included Dice Similarity Coefficient (DSC), sensitivity, accuracy, and Hausdorff distance (HD95). Results The study included lung artery imaging data from 203 patients, including 100 patients in the training set, 30 patients in the validation set, and 73 patients in the test set. Through the backbone network, a rough segmentation of the lung arteries was performed to obtain a complete vascular structure; the branch network integrating shape and position information was used to extract features of small pulmonary arteries, reducing interference from the pulmonary artery trunk and left and right pulmonary arteries. Experimental results showed that the segmentation model based on shape and position prior knowledge had a higher DSC (82.81%±3.20% vs. 80.47%±3.17% vs. 80.36%±3.43%), sensitivity (85.30%±8.04% vs. 80.95%±6.89% vs. 82.82%±7.29%), and accuracy (81.63%±7.53% vs. 81.19%±8.35% vs. 79.36%±8.98%) compared to traditional three-dimensional U-Net and V-Net methods. HD95 could reach (9.52±4.29) mm, which was 6.05 mm shorter than traditional methods, showing excellent performance in segmentation boundaries. Conclusion The lung artery segmentation method based on shape and position prior knowledge can achieve precise segmentation of lung artery vessels and has potential application value in tasks such as bronchoscopy or percutaneous puncture surgery navigation.

OBJECTIVE To study the improvement effects and potential mechanisms of water extract from Chrysanthemum morifolium on skeletal muscle atrophy in rats after ischemic stroke. METHODS Sprague-Dawley rats were randomly divided into sham operation group， model group， ATP group （10 mg/kg）， C. morifolium water extract high-dose and low-dose groups （1.08， 0.54 g/kg）. Except for sham operation group， ischemic stroke models were induced in rats from the other groups using middle cerebral artery occlusion. Starting from the first day after surgery， rats in each group were given corresponding drug/normal saline intragastrically， once a day， for consecutive 7 days. On the 7th day post-surgery， the rats’ body weights were measured， and their motor functions were evaluated， including Longa scores， exercise distance， grip strength； the electrophysiological signals of the skeletal muscles in rats were measured； the pathological morphology of the soleus muscle in rats was observed； the levels of tumor necrosis factor-α （TNF-α） in serum and soleus muscle were measured； the expressions of proteins related to TNF-α/c-Jun N- terminal kinase （JNK）/mitogen-activated protein kinase （MAPK） signaling pathway in the soleus muscle were determined. RESULTS Compared with sham operation group， the body weight， grip strength and exercise distance of rats were decreased/ shortened significantly （P＜0.01）； additionally， there was a notable reduction in the interpeak value of skeletal muscle electrophysiology （P＜0.05 or P＜0.01）. Longa score， as well as the levels of TNF-α in serum and soleus muscle， and the expression levels of TNF-α， phosphorylated JNK， phosphorylated MAPK， muscle ring-finger protein-1， and muscle atrophy Fbox- 1 protein in the soleus muscle， were all significantly elevated （P＜0.01）. The skeletal muscle cells of the soleus muscle in the model group showed significant atrophy， with a markedly decreased cross-sectional area （P＜0.01）. Compared with the model group， the levels of the aforementioned indicators were significantly reversed in C. morifolium water extract groups （P＜0.05 or P＜ 0.01）， and the skeletal muscle cells of the soleus muscle were markedly enlarged. CONCLUSIONS C. morifolium water extract can improve skeletal muscle atrophy in rats after ischemic stroke， the mechanism of which may be associated with suppressing the activation of the TNF- α/JNK/MAPK E-mail：19932015@cdutcm.edu.cn signaling pathway.

BACKGROUND:At present,research has only shown that the cervical lordosis ratio can be an important factor in predicting the loss of lordosis curvature after laminoplasty,and no one has studied whether the cervical lordosis ratio,a dynamic level indicator,can be one of the decision-making factors for the selection of posterior cervical surgical procedures. OBJECTIVE:To investigate whether the cervical lordosis ratio,an index of cervical hyperextension and hyperflexion,can be used as a selective index for laminoplasty and laminectomy fusion. METHODS:A retrospective review of 141 patients who had undergone posterior cervical surgery more than one year of follow-up due to multi-level cervical spondylotic myelopathy from December 2015 to March 2020 was performed.Among them,63 patients received laminectomy and fusion(laminectomy and fusion group)and 78 patients received laminoplasty(laminoplasty group).The demographic statistics(gender,age,body mass index,follow-up time),imaging indexes such as C2-7 Cobb angle,C2-7 range of motion,flexion Cobb angle,extension Cobb angle,flexion range of motion and extension range of motion,clinical effect indexes such as Japanese Orthopaedic Association score and visual analog scale score were compared between the two groups.The evaluation index of cervical lordosis alignment change was C2-7 Cobb angle difference before and after operation(ΔCL).Cervical lordosis ratio was equal to 100%×flexion range of motion/C2-7 range of motion.Receiver operating characteristic curve analysis was used to determine the role of cervical lordosis ratio in predicting postoperative severe cervical lordosis loss(ΔCL≤-10°).According to the critical value of cervical lordosis ratio(68.5%),all patients were divided into low cervical lordosis ratio group and high cervical lordosis ratio group.In these two ratio groups,the cervical lordosis alignment index and clinical effect index between the two operation groups were discussed again. RESULTS AND CONCLUSION:(1)Cervical lordosis alignment decreased after laminectomy and fusion and laminoplasty(P=0.039,P=0.002),and cervical lordosis alignment change in laminoplasty group(ΔCL)was greater than that of laminectomy and fusion group,and the difference between the two groups was statistically significant.(2)Based on receiver operating characteristic curve analysis,cervical lordosis ratio in predicting severe cervical lordosis alignment change(ΔCL≤-10°)had good identification ability(area under the curve=0.792).(3)In low cervical lordosis ratio group,there was no significant difference in cervical lordosis alignment change(ΔCL)between laminectomy and fusion group and laminoplasty group(P=0.141).(4)In high cervical lordosis ratio group,the ΔCL of laminoplasty group was greater than that in laminectomy and fusion group(P=0.001),which had a higher probability of postoperative severe cervical lordosis alignment change(ΔCL≤-10°)(43%,29%).(5)It is indicated that cervical lordosis ratio can be used as a decision-making index for the choice of posterior surgery for multi-level cervical spondylotic myelopathy.Laminoplasty can be considered in the low cervical lordosis ratio group,while laminectomy and fusion can be considered in the high cervical lordosis ratio group.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Object To study the efficacy and potential mechanism of Tongbianling capsule in constipation. Methods The effects of Tongbianling capsule on intestinal motility in normal mice and carbon powder propulsion rate in small intestine of constipation model mice after were observed administration. The potential targets and key pathways of Tongbianling capsule in treating constipation were identified through network pharmacology. To verify the mechanism, the expression of p-PI3K/PI3K, p-AKT/AKT and CASP3 proteins in mouse colon tissue was detected by the western blot. Results The time for mice to excrete the first black stool was shortened and the number of fecal particles was increased in Tongbianling capsule administration group, and the carbon powder propulsion rate of mice in each Tongbianling capsule administration group was increased. The results of network pharmacology showed that treatment of constipation by Tongbianling capsule may be related to signaling pathways such as PI3K-Akt signaling pathway and 5-HT. The protein expression of p-PI3K/PI3K, p-AKT/AKT, and CASP3 in mouse colon tissue could be significantly downregulated in administration group. Conclusion Tongbianling capsule could effectively promote intestinal peristalsis in mice, increase the frequency of defecation, and effectively treat constipation. The mechanism of its action may be related to the direct or indirect regulation of intestinal motility by the PI3K-Akt signaling pathway.

Objective To establish a HPLC method for determining thimerosal compounds in eye drops. Methods A gradient HPLC system was used in the quantitative analysis of thimerosal compounds on Shiseido MGII C₁₈ column （4.6 mm×250 mm，5 μm）, using 1% triethylamine solution （pH adjusted to 3.0 with phosphate） as mobile phase A, the methanol as mobile phase B, gradient elution, The column temperature was 40 ℃, the detection wavelength was 222 nm, the flow rate was 1 ml/min and the injection volume was 20 µl. Results The established method had good linearity within the concentration range of 4.3-216.7 μg/ml （r>0.999） for thimerosal, with average recoveries was 102.1%, RSD2.7%. Conclusion This method was simple, accurate and highly specific, and could be used for determination of thimerosal compound in eye drops.

Objective To analyze the PLCβ4 gene mRNA expression and its clinical significance in hepatocellular carcinoma (HCC) based on TCGA database. Methods Based on the data on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of nontumor liver tissues) in the TCGA database, Kaplan–Meier method, Cox regression analysis, and immune infiltration analysis were performed to evaluate the relationship between PLCβ4 gene and the clinical characteristics and survival prognosis of HCC patients. Correlation analysis between PLCβ4 gene and 24 types of immune cells was applied to investigate the relationship between PLCβ4 gene and immune cell infiltration and mRNA expression level of TP53 gene, a high-frequency mutation gene in HCC. In addition, paraffin sections of highly, moderately, and poorly differentiated tumor tissues and normal liver tissues from HCC patients were collected. The histopathological observation was carried out via HE staining method, and the expression levels of PLCβ4 and Ki-67 proteins in each clinical sample were verified through the immunohistochemical method. Results The expression level of PLCβ4 gene in HCC was significantly higher than that in normal tissues (P<0.01), and all patients in the PLCβ4 high-expression group had a significantly longer overall survival than those in the low-expression group (P<0.05), which suggested that PLCβ4 substantially affected the prognosis of HCC patients. Correlation analysis showed that the expression level of PLCβ4 gene was highly correlated with immune cell infiltration and the expression level of TP53 gene. As verified by clinical sample experiments, HE staining experiments and immunohistochemical results revealed that PLCβ4 gene expression in HCC tissue samples was significantly higher than that in normal tissues (P<0.001), and it was negatively correlated with the degree of differentiation. Conclusion PLCβ4 may serve as an independent prognostic factor in HCC and is expected to be a novel molecular target for HCC treatment.