Objective: To investigate the urban and rural differences in adverse outcomes of pulmonary tuberculosis (PTB) in patients with pulmonary tuberculosis-diabetes mellitus comorbidity (PTB-DM), so as to provide insights into improving the prevention and treatment measures for PTB-DM. Methods: Patients with PTB-DM who were admitted and discharged from 14 designated tuberculosis hospitals in Hangzhou City from 2018 to 2022 were selected. Basic information, and history of diagnosis and treatment were collected through hospital information systems. The adverse outcomes of PTB were defined as endpoints, and the proportions of adverse outcomes of PTB in urban and rural patients with PTB-DM were analyzed. Factors affecting the adverse outcomes of PTB were identified using a multivariable Cox proportional hazards regression model. Results: A total of 823 patients with PTB-DM were enrolled, including 354 (43.01%) urban and 469 (56.99%) rural patients. There were 112 (13.61%) patients with adverse outcomes of PTB. The proportions of adverse outcomes of PTB in urban and rural patients were 14.41% and 13.01%, respectively, with no statistically significant difference (P>0.05). Multivariable Cox proportional hazards regression analysis identified first diagnosed in county-level hospitals or above (HR=2.107, 95%CI: 1.181-3.758) and drug resistance (HR=3.303, 95%CI: 1.653-6.600) as the risk factors for adverse outcomes of PTB in urban patients with PTB-DM, while the treatment/observed management throughout the process (HR=0.470, 95%CI: 0.274-0.803) and fixed-dose combinations throughout the process (HR=0.331, 95%CI: 0.151-0.729) as the protective factors for adverse outcomes in rural patients with PTB-DM. Conclusions There are differences in influencing factors for adverse outcomes of PTB in urban and rural patients with PTB-DM. The adverse outcomes of PTB are associated with first diagnosed hospitals and drug resistance in urban patients, and are associated with the treatment/observed management and fixed-dose combinations throughout the process in rural patients.

ObjectiveTo investigate the analgesic effect of Tuina at the "Weizhong （BL 40）" on neuropathic pain in a rat model of chronic constriction injury （CCI） of the sciatic nerve and its potential central spinal mechanisms. MethodsThirty-two Sprague-Dawley rats were randomly divided into four groups （8 rats in each group）， sham-operated group， model group， Tuina group， and blockade group. The CCI model was established in the model group， Tuina group， and the blockade group by ligating the sciatic nerve with catgut， while the sham-operated group underwent only sciatic nerve exposure without ligation. From postoperative day 4 to day 14， rats in the Tuina group and the blockade group received Tuina manipulation at the "Weizhong （BL 40）" using a dynamic pressure distribution measurement system （5 N pressure， 2 Hz frequency， 10 min per session， once daily）. The blockade group also received intraperitoneal injections of the microglial inhibitor minocycline （10 mg/kg） once daily. The sham-operated and the model group underwent the same handling and fixation as the Tuina group without actual Tuina. Mechanical withdrawal threshold （MWT） and paw withdrawal latency （PWL） were measured before surgery and on day 3， 7， 10， and 14 post-surgery. Transmission electron microscopy was used to evaluate sciatic nerve injury and repair， measuring axon diameter and total myelinated fiber diameter to calculate the g-ratio. Western Blotting was performed to detect the protein levels of ionized calcium-binding adapter molecule 1 （Iba-1）， CD206， CD68， interleukin-10 （IL-10）， and β-endorphin （β-EP） precursor pro-opiomelanocortin （POMC） in the ipsilateral spinal dorsal horn. ResultsCompared with the sham-operated group， the model group showed significantly reduced MWT and PWL on day 3， 7， 10， and 14 （P＜0.01）. Compared with the model group， the Tuina group and the blockade group showed increased MWT and PWL on day 10 and 14 （P＜0.05）. Compared with the Tuina group， the blockade group exhibited higher MWT on day 7， 10， and 14， and higher PWL on day 10 （P＜0.05）. Sciatic nerve pathological morphology revealed intact and well-structured myelin in the sham-operated group， while the model group exhibited myelin collapse， distortion， and myelin ovoid formation. The Tuina group displayed partially irregular myelin with occasional myelin collapse， whereas the blockade group exhibited partial myelin irregularities and phospholipid shedding. Compared with the sham-operated group， the model group showed a decreased g-ratio and increased levels of Iba-1 and CD68 in the spinal dorsal horn （P＜0.05 or P＜0.01）. Compared with the model group， the Tuina group and the blockade group exhibited an increased g-ratio and reduced Iba-1 and CD68 levels. Additionally， the Tuina group showed elevated levels of CD206， IL-10， and POMC， whereas the blockade group had decreased CD206 levels （P＜0.05）. ConclusionTuina at "Weizhong （BL 40）" alleviates neuropathic pain in CCI rats， potentially by regulating microglial activation in the spinal cord， inhibiting M1 polarization while promoting M2 polarization， and activating the IL-10/β-EP pathway to exert analgesic effects.

This article systematically analyzes the historical evolution of the name， origin， quality evaluation， harvesting， processing and other aspects of Picrorhizae Rhizoma by referring to the medical books， prescription books， and other documents of the past dynasties， combined with relevant modern research materials， in order to provide a basis for the development and utilization of famous classical formulas containing this medicinal herb. The research results indicate that Picrorhizae Rhizoma was first recorded in New Revised Materia Medica from the Tang dynasty. Throughout history， Huhuanglian has been used as its official name， and there are also aliases such as Gehu Luze， Jiahuanglian and Hulian. The main source of past dynasties is the the rhizomes of Picrorhiza kurrooa and P. scrophulariiflora. In ancient times， Picrorhizae Rhizoma was mainly imported by foreign traders via Guangzhou and other regions， and also produced in China， mainly in Xizang. In ancient times， it was harvested and dried in early August of the lunar calendar， while in modern times， it is mostly harvested from July to September， with the best quality being those with thick and crispy rhizomes without impurities， and bitter taste. Throughout history， Picrorhizae Rhizoma was collected， washed， sliced， and dried before being used as a raw material for medicine， it has a bitter and cold taste， mainly used to treat bone steaming， hot flashes， infantile chancre fever， and dysentery. There is no significant difference in taste and efficacy between ancient and modern times. Based on the research results， it is recommended that the rhizomes of P. scrophulariiflora in the 2020 edition of Chinese Pharmacopoeia， or the rhizomes of P. kurrooa， can be used in famous classical formulas containing this medicinal herb， which can be processed according to the processing requirements marked by the original formula. For those without clear processing requirements， the dried raw products are used as medicine.

Objective: To compare the clinical efficacy of visual dilated sheath combined with needle nephroscope percutaneous nephrolithotomy (PCNL) with traditional PCNL for renal calculi，so as to enhance the intraoperative safety and puncture accuracy. Methods: A retrospective analysis was conducted on 100 patients with renal calculi treated on hospital during Sep.2022 to Sep.2023.Based on the surgical approaches，patients were divided into the needle nephroscope group (PCNL with visual dilator sheath and needle nephroscope，n=52) and traditional group (traditional PCNL，n=48).Clinical characteristics，surgical parameters，and outcomes were compared between the two groups. Results: There were no significant differences between the two groups in baseline data，total operation time and hospital stay (P>0.05).The needle nephroscope group had a longer channel establishment time compared to the traditional group [20.0(17.0-22.0) min vs.16.0 (15.0-21.0) min，P=0.002]，but significantly shorter puncture time [2.0 (1.0-2.6) min vs. 2.8(2.0-3.5) min，P<0.001]，and fewer adjustments of the puncture needle (9.6% vs. 64.6%，P<0.001).The channel was successfully established on the first attempt in all patients in the needle nephroscope group，while only 41 of patients in the traditional group achieved success on the first attempt，6 cases needed 2 attempts，and 1 case needed 3 attempts.Postoperative complications were absent in the needle nephroscope group，whereas postoperative bleeding requiring interventional treatment occurred in 1 case in the traditional group.There was no significant difference in the first-stage stone-clearance rate between the two groups (88.4%vs. 85.4%，P=0.872). Conclusion: PCNL using a visual dilator sheath combined with a needle nephroscope achieves a comparable first-stage stone-clearance rate to traditional PCNL.However，it offers significant advantages in terms of shorter puncture time，fewer adjustments of the puncture needle，and lower postoperative complication rate.These findings suggest superior safety and precision，making it a valuable technique for clinical application.

ObjectiveThe nucleolar protein PES1 (Pescadillo homolog 1) plays critical roles in ribosome biogenesis and cell cycle regulation, yet its involvement in cellular senescence remains poorly understood. This study aimed to comprehensively investigate the functional consequences of PES1 suppression in cellular senescence and elucidate the molecular mechanisms underlying its regulatory role. MethodsInitially, we assessed PES1 expression patterns in two distinct senescence models: replicative senescent mouse embryonic fibroblasts (MEFs) and doxorubicin-induced senescent human hepatocellular carcinoma HepG2 cells. Subsequently, PES1 expression was specifically downregulated using siRNA-mediated knockdown in these cell lines as well as additional relevant cell types. Cellular proliferation and senescence were assessed by EdU incorporation and SA-β-gal staining assays, respectively. The expression of senescence-associated proteins (p53, p21, and Rb) and SASP factors (IL-6, IL-1β, and IL-8) were analyzed by Western blot or qPCR. Furthermore, Northern blot and immunofluorescence were employed to evaluate pre-rRNA processing and nucleolar morphology. ResultsPES1 expression was significantly downregulated in senescent MEFs and HepG2 cells. PES1 knockdown resulted in decreased EdU-positive cells and increased SA‑β‑gal-positive cells, indicating proliferation inhibition and senescence induction. Mechanistically, PES1 suppression activated the p53-p21 pathway without affecting Rb expression, while upregulating IL-6, IL-1β, and IL-8 production. Notably, PES1 depletion impaired pre-rRNA maturation and induced nucleolar stress, as evidenced by aberrant nucleolar morphology. ConclusionOur findings demonstrate that PES1 deficiency triggers nucleolar stress and promotes p53-dependent (but Rb-independent) cellular senescence, highlighting its crucial role in maintaining nucleolar homeostasis and regulating senescence-associated pathways.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective:To investigate the clinical features and influencing factors of prognosis in elderly patients with heart failure(HF)in ICU.Methods:Clinical data of 148 elderly HF patients(≥60 years old)admitted to ICU of our hospital from January to December 2021 were retrospectively analyzed.Disease history,etiology and related ex-amination data were analyzed in these patients,and predisposing factors and clinical features of HF were summa-rized.According to incidence of adverse cardiovascular events within 6 months,they were divided into event group(n=70)and no event group(n=78).General clinical data were compared between two groups.Univariate and multivariate Logistic regression were used to analyze influencing factors of poor prognosis in elderly HF patients in ICU.Results:Predisposing factors of elderly HF mainly included upper respiratory tract infections and pneumonia 34 cases(22.97％),20 cases(13.51％)of rapid atrial fibrillation and fatigue respectively.There were 91 cases(61.49％)with typical cardiac insufficiency as initial symptom;24 cases(16.22％)complicated with neuropsychiatric symptom;44 cases(29.73％)complicated with anxiety and depression of different extent.Univariate and multivariate Logistic regression a-nalysis indicated that age,NYHA class Ⅲ～Ⅳ,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score,N terminal pro brain natriuretic peptide(NT-proBNP),growth differentiation factor 15(GDF-15)and high sensitive C reactive protein(hsCRP)levels were independent risk factors for poor prognosis in elderly HF patients(OR=1.021～1.393,P＜0.05 or＜0.01).Conclusion:For elderly HF patients in ICU,clinical manifestations are not typical,and the predisposing factors are complex.It is found that APACHE Ⅱ score,GDF-15,hsCRP and NT-proBNP levels possess important significance for diagnosis and prognosis of these patients.

The main components and working principle of the negative pressure isolation treatment equipment were described,and the classification and application scopes of the negative pressure isolation treatment equipment from foreign countries and China were reviewed.The structure,key technical parameters and characteristics of different types of negative pressure isolation treatment equipment were analyzed under different conditions.The problems of the negative pressure isolation treatment equipment were analyzed,and it's pointed out it would be enhanced in component simplification,comfort,intelligence and multifunctionality.[Chinese Medical Equipment Journal,2024,45(2):97-104]

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.