Oxidative stress is a pivotal factor in the onset and progression of diabetic kidney disease （DKD）， and it plays an essential role in the prevention and treatment of DKD. The "Gaozhuo" pathogenesis posits that DKD is characterized by the invasion of Gaozhuo and damage to the kidney collaterals， with the underlying cause being the insufficiency of spleen Qi and the internal formation of Gaozhuo， which provides valuable guidance on oxidative stress. The insufficiency of spleen Qi and the internal formation of Gaozhuo represent a dynamic， evolving process. Gaozhuo invades the kidney collaterals， impairs kidney Qi， and progressively leads to the congealing and stagnation of Gaozhuo and blood， ultimately resulting in the failure of both the spleen and kidneys. The damage caused by Gaozhuo to the kidney collaterals and kidney Qi is analogous to the organ and functional damage of the kidneys induced by excessive reactive oxygen species and oxidative stress. Damage to the kidney collaterals means organic injuries to the glomeruli， renal tubules， and renal interstitium， and the depletion of kidney Qi refers to damage to glomerular filtration and renal tubular reabsorption. The congealing and stagnation of Gaozhuo and blood in the kidney collaterals is similar to oxidative stress-induced thickening of the glomerular basement membrane and fibrosis. The interaction between spleen and kidney Qi deficiency and the congealing and stagnation of Gaozhuo and blood creates a vicious cycle that exacerbates the condition， ultimately evolving into the failure of both the spleen and kidneys. The failure of the spleen and kidneys is analogous to renal failure， and its extreme manifestation is end-stage renal disease and uremia. The treatment of oxidative stress in DKD with traditional Chinese medicine （TCM） is based on the principles of strengthening the spleen and tonifying the kidneys， and dispelling turbidity and removing blood stasis. According to the syndrome type， it is recommended to use methods such as strengthening the spleen and tonifying Qi while dispelling dampness and removing turbidity， strengthening the spleen and tonifying the kidneys while dispelling dampness and removing turbidity， strengthening the spleen and tonifying the kidneys while dispelling turbidity and removing blood stasis， or consolidating the spleen and kidneys while clearing away turbidity and blood stasis.

Objective To explore the change pattern of quantitative parameters in contrast-enhanced computed tomography (CECT) scans during the cortical and nephrographic phases in patients with clear cell renal cell carcinoma (ccRCC), evaluate the diagnostic efficiency of these quantitative parameters in predicting the pathological grade of ccRCC preoperatively, and provide imaging reference for clinically evaluating preoperative disease severity and formulating individualized therapeutic regimens. Methods A retrospective analysis was performed on the clinical data of 84 patients with ccRCC treated in our hospital between September 2022 and September 2024. According to the World Health Organization/International Society of Urological Pathology (WHO/ISUP) pathological grading system, patients were divided into a high-grade group (n = 32) and a low-grade group (n = 52). CECT features and quantitative parameters were compared between the two groups. The relationships between CECT quantitative parameters and pathological grading in ccRCC patients were analyzed using Spearman correlation. The diagnostic value of these parameters for preoperative pathological grading was evaluated using receiver operating characteristic curves. Results The maximum tumor diameter and the proportion of tumors with blurred margins were higher in the high-grade group than in the low-grade group (P<0.05). The CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were lower in the high-grade group than in the low-grade group (P<0.05). Spearman correlation analysis showed that the CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were negatively correlated with preoperative pathological grades in ccRCC patients (P<0.05). Receiver operating characteristic curve analysis revealed that the area under the curve for preoperative pathological grading using the combination of cortical phase CT value, cortical phase net enhancement value, cortical phase enhancement rate, nephrographic phase CT value, nephrographic phase net enhancement value, and nephrographic phase enhancement rate was 0.912, which was higher than the areas for any individual parameter used alone (0.770, 0.748, 0.763, 0.751, 0.739, and 0.718, respectively; P<0.05). The sensitivity, specificity, and 95% confidence interval for the parameters used in combination were 96.88%, 69.23%, and 0.853-0.970, respectively. Conclusion CECT quantitative parameters were negatively correlated with pathological grades in patients with single ccRCC and demonstrated high diagnostic efficiency for pathological grading, providing a reference for clinical treatment planning.

AIM: To analyze the influencing factors of cognitive dysfunction in patients with open angle glaucoma, and construct a risk prediction decision tree model. METHODS:Retrospective study. The clinical data of patients with open angle glaucoma treated in the hospital from February 2022 to November 2024 were collected, and patients were divided into a cognitive dysfunction group and a cognitive function normal group according to the evaluation results of the Montreal Cognitive Assessment Scale(MoCA)at the time of admission, and the clinical data of the two groups were compared. The influencing factors of cognitive dysfunction in patients with open angle glaucoma were analyzed through Logistic regression model, and the decision tree model was analyzed and constructed based on the clinical data of the two groups through the decision tree CHAID algorithm, and the predictive performance of two models was compared using receiver operating characteristic(ROC)curves. RESULTS:The total of 179 patients with open angle glaucoma were included in this study, and were divided into a cognitive dysfunction group of 107 cases(59 males and 48 females, with 66 cases aged ≥60 y)and a cognitive function normal group of 72 cases(34 males and 38 females, with 28 cases aged ≥60 y)according to the MoCA assessment results at the time of patient admission.The incidence of cognitive dysfunction was 59.8%(107/179). The proportion of age ≥60y, education level of junior high school or below, hypertension, sleep disorders, and middle/late stage diseases in the cognitive dysfunction group were higher than those in the cognitive function normal group(all P<0.05). Logistic regression analysis showed that age ≥60 y, education level of junior high school or below, hypertension, sleep disorders, and middle/late stage disease were all risk factors for cognitive dysfunction in patients with open angle glaucoma(all P<0.05). The risk prediction decision tree model constructed using the decision tree CHAID algorithm included 4 layers and 11 nodes, and it outputed 5 risk variables: disease severity, age, sleep disorders, education level, and hypertension. Among them,the disease severity was the first layer risk variable. The ROC curve showed that the area under curve for predicting cognitive dysfunction in patients with open angle glaucoma using the risk prediction decision tree model and logistic regression model was 0.849 and 0.842 respectively, and there was no statistically significant difference in the predictive value between the two models(P>0.05). CONCLUSION: The disease severity, age, sleep disorders, education level, and hypertension are influencing factors for cognitive dysfunction in patients with open angle glaucoma, and the risk prediction decision tree model analyzed and constructed by the decision tree CHAID algorithm has good predictive value for cognitive dysfunction.

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Objective:To investigate the diagnostic value of preoperative fine-needle aspiration (FNA) of lymph nodes combined with washout thyroglobulin testing (FNA-Tg) for detecting lymph node metastasis in papillary thyroid carcinoma (PTC).Methods:A prospective study was conducted on 112 patients diagnosed with PTC at Wenzhou Central Hospital from December 2021 to December 2023, all of whom had suspicious lateral cervical lymph node metastasis identified through preoperative ultrasound. All patients underwent lymph node FNA and FNA-Tg. The suspicious lymph nodes were surgically excised. The diagnostic efficacy of FNA, FNA-Tg, and the combination of FNA and FNA-Tg for PTC with lymph node metastasis was compared.Results:A total of 112 patients were identified with 120 lymph nodes, among which 98 lymph nodes were confirmed to have metastasis by pathology. The results of the FNA cytology examination revealed 83 positive cases and 37 negative cases. The accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis were 80.83%, 80.61%, and 81.82%, respectively. In the FNA-Tg, there were 89 positive cases and 31 negative cases, with accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis at 89.17%, 88.78%, and 90.91%, respectively. When FNA and FNA-Tg were used in combination, there were 101 positive cases and 19 negative cases; the accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis were 94.17%, 97.96%, and 77.27%, respectively. The combined use of FNA and FNA-Tg demonstrated significantly higher accuracy in diagnosing metastatic lateral cervical lymph nodes in PTC compared to FNA and FNA-Tg alone ( χ2 = 50.64, P < 0.001; χ2 = 64.81, P < 0.001). Conclusions:The combined use of FNA and FNA-Tg demonstrates high accuracy in diagnosing lateral cervical lymph node metastasis in PTC.

The extracellular matrix is an important component of articular cartilage,and in previous stud-ies it was more commonly recognized as a scaffolding structure supporting chondrocytes that provides protection from mechanical loading and elastic compression.As research continues to progress,a large body of literature sug-gests that the extracellular matrix is dynamic in nature.It degrades,deposits,and releases components in response to changes in its local microenvironment,which in turn dynamically regulates chondrocyte function and fate.There-fore,this review outlines the impact of matrix-chondrocyte interactions on chondrocyte behavior and joint homeosta-sis in osteoarthritis.It is hoped that the systematic elucidation of matrix-cell reciprocal relationships will provide new insights into the pathological mechanisms of osteoarthritis and the design and construction of cartilage tissue engineering.Specifically,we first summarize the typical molecular components that make up the extracellular matrix and the mechanical properties they confer in the matrix and the mechanotransduction functions they exert in chondrocytes.Next,we discuss the negative impact of chondrocytes on the synthesis and breakdown of matrix com-ponents during the osteoarthritic process in response to abnormal mechanical loading in the local microenvironment or disturbance by trauma.Finally,we focus on the impact of an abnormally remodeled extracellular matrix on chon-drocyte signaling and the pathological progression of osteoarthritis by mediating the generation of bioactive catabolic fragments,modulating cytokine release,and altering mechanical properties.

Objective:To identify prognostic factors associated with survival rates in patients with distal cholangiocarcinoma after radical surgery, and to construct a Nomogram prediction model based on these factors, as well as to perform internal validation of the model.Methods:A retrospective study was conducted on the clinical data of 162 patients (76 males and 86 females) with distal cholangiocarcinoma who underwent radical surgery at the Department of Hepatobiliary Surgery, Ningxia Medical University General Hospital from January 2011 to July 2019. The study used univariate and multivariate Cox regression analysis to identify independent risk factors and constructed a Nomogram prediction model using R software version 4.4.1. Additionally, the predictive accuracy of the model was evaluated through the C-index, the area under the receiver operating characteristic curve, and the calibration curve.Results:The median overall survival for the 162 patients was 18.4 months. The final multivariate Cox regression analysis revealed that the following factors were independent risk factors for poor postoperative prognosis in patients with distal cholangiocarcinoma: patient age [> 60 years, P = 0.004, hazard ratios ( HR) = 1.876], tumor diameter (> 2.0 cm, P < 0.001, HR = 0.174), tumor differentiation degree [moderately differentiated/moderately to highly differentiated/highly differentiated, P = 0.017, HR = 1.407], lymph node metastasis (Yes, P = 0.002, HR = 0.551), and vascular invasion (Yes, P = 0.025, HR = 1.329) (all P < 0.05). Based on these independent risk factors identified through statistical analysis, the C-index of the constructed nomogram prediction model was 0.793. The area under the receiver operating characteristic curve values for the model predicting postoperative 1-year, 3-year, and 5-year overall survival rates were 0.932, 0.771, and 0.758,respectively. Conclusions:Patient age, tumor diameter, tumor differentiation degree, lymph node metastasis, and vascular invasion are independent risk factors for poor postoperative prognosis in patients with distal cholangiocarcinoma. The final Nomogram prediction model demonstrates good predictive ability and has certain practical application potential.

Objective:To examine the validity and reliability of the Chinese version of the Mentalization Questionnaire(MZQ)in a sample of Chinese college students.Methods:Totally 3 985 college students were select-ed and randomly divided into Sample 1(n=1 992)and Sample 2(n=1 993).Sample 1 was used to test explorato-ry factor analysis,Sample 2 was used to test criterion-related validity and internal consistency reliability.Totally 596 students were randomly selected from Sample 2,which was subjected to validation factor analysis.After 1 week of initial testing,85 individuals were randomly selected from the total sample for retesting.The Reflective Functioning Questionnaire(RFQ-8)was used to test criterion-related validity.Results:Multiple exploratory factor analyses were conducted on the single-factor structure,and 9 items were finally retained.Validation factor analyses indicated a good fit of the single-factor structure(x2=131.01,x2/df=4.83,P＜0.001,NFI=0.94,CFI=0.95,GFI=0.95,IFI=0.95,TLI=0.93,RMSEA=0.08).The Chinese version of the MZQ scores were negatively correlated with the RFQ-C scores(r=-0.59,P＜0.01),and positively correlated with the RFQ-U scores(r=0.28,P＜0.01).The Cronbach α coefficient of the Chinese version of MZQ was 0.89,and the retest reliability(ICC)was 0.82.Conclusion:The Chinese version of the Mentalization Questionnaire(MZQ)has ideal validity and reliability in Chinese college students.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.