Objective To construct a prediction model for the population with hypertension and diabetes to assess the risk of chronic kidney disease (CKD), and to provide a scientific basis for formulating targeted CKD prevention and control measures. Methods Based on physical examination data from community residents aged 60 years and above in Nanjing in 2022, 10 221 patients with hypertension and diabetes were selected as the study subjects. Variables associated with CKD prevalence were screened using univariate analysis, and further variable selection was performed using LASSO regression. Finally, a CKD risk prediction model was constructed based on logistic regression. The model's performance was evaluated using the ROC curve and calibration curve. Results The prevalence rate of CKD in the study population was 22.71%, with a mean age of 71.66 years. LASSO regression identified seven variables associated with CKD: age, blood urea nitrogen (BUN), hemoglobin, uric acid, triglyceride-glucose (TyG) index, urine protein-to-creatinine ratio (UPCR), and medical insurance type. The final logistic regression model incorporated six variables: age [OR=1.067 (95% CI: 1.058-1.076)], BUN [OR=1.377 (95% CI: 1.338-1.418)], hemoglobin [OR=0.992 (95% CI: 0.989-0.995)], uric acid [OR=1.004 (95% CI: 1.003-1.004)], TyG index [OR=1.445 (95% CI: 1.324-1.577)], and self-payment medical insurance [OR=1.732 (95% CI: 1.542-1.945)]. The model had an AUC of 0.759 (95% CI: 0.747-0.770) and a Brier score of 0.140 (95% CI: 0.136-0.145), indicating good predictive performance. The calibration curve showed good agreement between the predicted risk and the observed value. Conclusion The constructed LASSO-logistic regression risk prediction model in this study can effectively assess the risk of CKD in elderly individuals aged 60 years and above with hypertension and diabetes, providing a basis for early identification of high-risk individuals and the formulation of targeted CKD prevention and control measures.

A portion of patients undergoing implant restoration require bone augmentation procedures to ensure that there is sufficient bone volume around the implant. For the patients with horizontal bone ridge defects at edentulous sites, with or without mild to moderate vertical bone defects, the shell technique serves as a reliable and minimally invasive bone augmentation method with effective space maintenance. The shell technique involves fixating 1 mm cortical bone blocks to the recipient site, using retention screws and filling the gap between the bone block and recipient bed with particulate bone substitute materials, and covering the barrier membrane to achieve bone augmentation. The overlying tension-free soft tissue closure seals the surgical site while local peripheral blood releases osteoclasts and cytokines that gradually degrade the bone block. The rigid fixation of the bone block ensures a stable internal environment for osteogenesis and a new bone regeneration cycle. Although this technique demonstrates favorable bone augmentation outcomes, it is highly technique-sensitive. There are certain differences in the application scenarios and osteogenic processes for autologous and allogeneic bone shells. The selection of bone blocks and particulate bone substitute materials significantly influences the osteogenic biological process and the predictability of bone augmentation results. Complications associated with the shell technique possess distinct characteristics, such as the immunogenicity of allogeneic bone fragments, soft tissue cracking, and bone fragment loosening. Their prevention and subsequent management substantially impact the success rate of osteogenesis. This article delves into the biological mechanisms of osteogenesis in the bone block technique, summarizing the indications, clinical outcomes, classification of bone blocks, and surgical workflow management, as well as complication prevention and management, aiming to provide a reference for the future application and development of the bone shell technique.

Objective To explore the non-invasive diagnostic criteria of magnetocardiography (MCG) for coronary microvascular dysfunction (CMVD), and its value in dynamically assessing drug treatment for CMVD. Methods Patients who presented with chest tightness or chest pain at Zhongshan Hospital, Fudan University from September 2024 to March 2025 were consecutively enrolled, and all of whom had non-obstructive coronary arteries on angiography. Using the coronary angiography-derived index of microcirculatory resistance (caIMR) as the gold standard, patients were divided into a normal microcirculation group (caIMR≤40 U) and a CMVD group (caIMR＞40 U). MCG testing was performed using a domestic device (MD-U041001, Mind Medical). Patients in the CMVD group received adenosine treatment and underwent repeat MCG after medication. Differences in MCG parameters between the two groups were analyzed, and a diagnostic model was established. The value of the diagnostic model was analyzed using receiver operating characteristic (ROC) curves. Results A total of 311 patients were included, with 135 in the normal microcirculation group and 176 in the CMVD group. The CMVD group had a significantly higher proportion of males (61.9% vs 47.4%, P＝0.012), and lower high-density lipoprotein cholesterol (HDL-C) levels ([1.16±0.31] mmol/L vs [1.24±0.29] mmol/L, P＝0.029) than the normal group. Eleven MCG parameters showed significant differences between the two groups (P＜0.05), among which increased values of mfm_QR_epav, mfm_RS_epmse, space_zeroRTrot, as well as decreased value of mfm_QR_v1 were independent predictors of CMVD. The diagnostic model based on these 11 MCG parameters yielded an area under the curve (AUC) of 0.688 (95%CI 0.629-0.747). The integrated diagnostic model combining clinical risk factors (male, smoking history, HDL-C) with MCG parameters had an AUC of 0.701 (95%CI 0.643-0.759). After adenosine treatment, patients in the CMVD group showed significant decreases in mfm_QR_epav (P＝0.010), mfm_RS_sad (P＝0.013), and mfm_RS_epmse (P＝0.046). Conclusions The model based on MCG parameters demonstrates good diagnostic ability for CMVD; dynamic changes in MCG parameters following adenosine intervention may serve as potential objective indicators for evaluating microcirculatory treatment efficacy.

Objective To investigate the factors influencing the efficacy of intravesical Bacille Calmette-Guérin(BCG)instillation after transurethral resection of bladder tumor(TURBT)in patients with intermediate-and high-risk non-muscle invasive bladder cancer(NMIBC),and to construct a prediction model for recurrence after BCG treatment.Methods A retrospective cohort study was conducted on the subjected patients diagnosed with intermediate-and high-risk NMIBC undergoing TURBT followed by standard BCG instillation.The 110 patients treated in Department of Urology of Army Medical Center of PLA from January 2018 to December 2023 were assigned into a training set,while the 52 patients treated at Department of Urology of General Hospital of Central Theater Command from January 2015 to December 2020 were into an external validation set.A total of 17 variables were included and analyzed.Univariate and multivariate Cox regression analyses were performed to identify factors associated with recurrence after BCG instillation,and nomograms were plotted to predict 1-year,3-year,and 5-year recurrence-free survival(RFS).Calibration curve,decision curve analysis(DCA),and receiver operating characteristic(ROC)curve analysis were conducted for internal and external validation to evaluate the predictive performance and clinical utility of the model.Results In the training set,26 patients(23.64%)experienced recurrence during the follow-up period,with a median RFS of 32.00(18.00～50.50)months.Univariate Cox regression analysis suggested that platelet count,eosinophil to lymphocyte ratio(ELR),neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),systemic immune inflammation(SII)index,and neutrophil-monocyte to lymphocyte ratio(NMLR),pathological T1 stage(pT1)tumor and hemoglobin,albumin,lymphocyte,and platelet(HALP)score were potential factors influencing recurrence after BCG instillation.Multivariate Cox regression analysis identified high HALP score(HR=0.185,95%CI:0.046～0.736,P=0.017)as an independent protective factor,while high ELR(HR=3.599,95%CI:1.505～8.608,P=0.004)and pT1 stage(HR=3.240,95%CI:1.191～8.818,P=0.021)were independent risk factors for recurrence.Based on this,a nomogram prediction model was constructed.The calibration curves demonstrated good agreement between predicted and actual 1-,3-,and 5-year recurrence risks.Decision curve analysis indicated clinical utility across a wide threshold probability range.In the training set,the model showed strong predictive performance for 1-(AUC=0.842),3-(AUC=0.847),and 5-year(AUC=0.887)recurrence risks,which was further validated in the external cohort.Conclusion Higher HALP score prior to BCG instillation therapy is a protective factor against tumor recurrence,while higher ELR and pT1 stage are risk factors.Our nomogram prediction model based on HALP score,ELR and pathological T stage,can identify individuals at high risk of recurrence after BCG instillation therapy.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective To investigate risk factors for residual lesions after initial transurethral resection of bladder tumors(TURBT)and risk factors for tumor recurrence after second TURBT in patients with non-muscle-invasive bladder cancer(NMIBC)in order to provide reference for clinical management.Methods A case-control study design was adopted to include 120 NMIBC patients who underwent initial TURBT and then second surgery within 2～8 weeks in our department from January 2017 to January 2025.Based on the presence of residual lesions after the initial TURBT or not,the patients were divided into a residual lesion group(n=34)and a non-residual lesion group(n=86).Chi-square test and multivariate logistic regression analysis were performed to identify potential risk factors for residual lesions following the initial TURBT.Univariate and multivariate Cox regression models were used to analyze potential risk factors for tumor recurrence after the second TURBT.Results The residual lesion rate after initial TURBT was 28.33％.Chi-square test analysis revealed that tumor stage T1(Chi-square=5.756,P=0.016)and broad tumor base(Chi-square=4.331,P=0.037)were factors influencing residual lesions after initial TURBT.Multivariate logistic regression analysis identified tumor stage T1(OR=3.047,95％CI:1.128～8.226,P=0.028)as an independent risk factor for residual lesions after initial TURBT.The tumor recurrence rate after second TURBT was 17.5％.Multivariate Cox regression analysis identified tumor stage T1(OR=4.258,95％CI:1.248～14.532,P=0.021),intravesical chemotherapy instillation after second TURBT(OR=3.539,95％CI:1.284～9.752,P=0.015),history of urinary system tumors(OR=3.002,95％CI:1.145～7.873,P=0.025)and high platelet-to-lymphocyte(PLR)ratio(OR=2.798,95％CI:1.115～7.023,P=0.028)as independent risk factors for tumor recurrence after second TURBT.Conclusion Tumor stage T1 and broad tumor base are risk factors for residual lesions after initial TURBT,while tumor stage T1,intravesical chemotherapy instillation after second TURBT,history of urinary system tumors and high PLR ratio are risk factors for tumor recurrence after second TURBT.Comprehensive analysis on above 4 indicators can effectively assess the risk of tumor recurrence in NMIBC patients following second TURBT,and timely early medical intervention is beneficial for improving patient outcomes.

Objective To explore the differences in therapeutic efficacy and possible mechanism of different routes of administration of fullerene nanoparticles in the treatment of radiation retinopathy.Methods Eight-week-old adult male SD rats were randomly divided into blank group(Control),irradiation group(X-Ray),irradiation+vitreous cavity administration group[X+F(IVT)],irradiation+ocular surface administration group[X+F(OS)],and irradiation+intravenous administration group[X+F(IV)],with 5 rats in each group.The blank group was not treated,the irradiation groups exposed to X-ray irradiation to establish the model,and fullerenol nanoparticles were given to the treatment groups through different routes after irradiation.At 7,14,and 28 d after modeling,body weight and fundus changes were measured to evaluate drug safety,retinal optical coherence tomography(OCT)was used to observe the change in retinal tissue structure,and electroretinography(ERG)was applied for oscillatory potentials(OPs)to evaluate visual function.CD31 immunofluorescence staining was carried out to evaluate retinal endothelial vascular status,and in vivo imaging was utilized to evaluate the accumulation of fullerenol nanoparticles in the eyes.Results The growth curves of body weight demonstrated that fullerenol nanoparticles did not affect the growth and development of rats,with no statistical difference between the treatment groups and the control group.Irradiation resulted in a significant reduction in visual function,decreased amplitudes of a-wave and b-wave,and declined OPs(P<0.01),and significantly increased thicknesses of the ganglion cell layer(GCL)and the inner nuclear layer(INL)in the retinas,as evidenced by OCT(P<0.01),along with a notably absent presence of CD31-positive cells(P<0.01).Notably,the X+F(IVT)group obtained significantly improved visual function after intravitreal administration,effectively maintained thickness of the GCL and INL,and prevention against the loss of CD31-positive cells(P<0.01).However,no such effective results were observed in the irradiated groups receiving intravenous either ocular surface administration.In vivo imaging revealed that intravitreal administration maintained high ocular accumulation of fullerene for 96 h,while ocular surface administration sustained these concentrations for only 12 h.Intravenous administration,in contrast,only led to a predominant drug distribution in vascular-rich areas,but reduced ocular accumulation.Conclusion Fullerene nanoparticles possess a therapeutic effect on radiation retinopathy,and the intravitreal administration route demonstrates better efficacy than ocular surface and intravenous administration.

Objective To explore the characteristics of traditional Chinese medicine(TCM)syndrome,syndrome elements and their combination,and the distribution of TCM syndrome types in advanced non-small cell lung cancer(NSCLC)patients suffering from hypothyroidism after treatment with immune checkpoint inhibitors(ICIs).Methods The analysis was conducted on 168 patients with NSCLC at stage ⅢB-ⅣB confirmed by pathological findings,whose epidermal growth factor receptor/anaplastic lymphoma kinase(EGFR/ALK)was negative,and then suffering from hypothyroidism after treatment with ICIs from January 2020 to June 2023,who admitted to Zhongshan Hospital of Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine.The patients'information collected by four diagnostic methods of TCM was analyzed,and then cluster analysis was used to explore the characteristics of TCM syndrome and the distribution of TCM syndrome types of immunotherapy-induced hypothyroidism in advanced NSCLC.Moreover,the distribution of TCM syndrome types in the patients with different genders,age groups,and hypothyroidism grades was analyzed.Results(1)The TCM syndrome of hypothyroidism appearing in 168 patients with advanced NSCLC after immunotherapy was characterized by deficiency type,which manifested as follows:cough,fatigue and weakness,amnesia,lusterless complexion,spontaneous sweating,dry skin,white sputum,unwilling to talk,dizziness,nocturnal polyuria,blurred vision,emaciation,poor skin elasticity,poor appetite or even anorexia,somnolence,long-term poor appetite,edema,insomnia,low voice,dull pain,light white color of fingernails,spitting,frequently intolerance of cold,thirst,bright pale complexion,preference of warmth and aversion to cold,thirst with preference of hot drink,dyspnea,frequent constipation,dry stools,puffiness of face and eyelid,dreaminess,abdominal fullness,lumbar pain,and weakness in defecation.The tongue manifestation and pulse condition were characterized by white and thin coating,pale-red tongue,tongue with tooth-marks,pale and enlarged tongue,pale tongue,deep pulse,slippery pulse,feeble pulse,weak cubital pulse,and thready pulse.(2)The disease-location syndrome elements usually involved in the lung,spleen,and kidney,and the disease-nature syndrome elements usually involved in qi deficiency,yang deficiency,blood deficiency,and water retention.(3)The cluster analysis yielded three syndrome types,and they were lung and spleen qi deficiency syndrome,kidney yang deficiency syndrome,and qi deficiency and water retention syndrome in decreasing sequence of occurrence frequency.(4)Statistically significant difference of the distribution of TCM syndrome types was presented in the patients with various age groups(P<0.01).Lung and spleen qi deficiency syndrome was the main syndrome type in the patients aged 60-69 years old,kidney yang deficiency syndrome was frequently seen in the patients being or over 70 years old,and qi deficiency and water retention syndrome was frequently seen in the patients less than 50 years old.No statistically significant difference of the distribution of TCM syndrome types was presented in the patients with various genders and in the patients with various grades of hypothyroidism(P>0.05).Conclusion The immunotherapy-induced hypothyroidism in patients with advanced NSCLC is usually differentiated as the TCM syndrome types of lung-qi and spleen-qi deficiency,kidney yang deficiency,and qi deficiency and water retention.Deficiency of healthy qi contributes to the fundamental pathogenesis of the development and progression of the disease.Clinicians should pay attention to the changes of symptoms in time and monitor the thyroid function indicators of the patients,thus to avoid serious immunotherapy-related adverse events(irAEs).

Continuous manufacturing, as an innovative pharmaceutical production model, offers advantages such as high production efficiency and ease of control compared to traditional batch production, aligning with the future trend of drug production moving toward greater efficiency and intelligence. However, the development of continuous manufacturing technology in wet granulation has been slow. On one hand, this is closely related to its high technical complexity, substantial equipment investment costs, and stringent process control requirements. On the other hand, the long-term use of the traditional batch production model has created strong path dependence, and the lack of mature standardized processes further increases the difficulty of technological transformation. To promote the deep integration of wet granulation technology with continuous manufacturing, this review systematically outlines the current application of wet granulation in continuous manufacturing. It focuses on the development of key technologies such as online detection, process modeling, and process scale-up, with the aim of providing a reference for process innovation and application in wet granulation.
Drug Compounding/instrumentation* ; Technology, Pharmaceutical/methods* ; Drugs, Chinese Herbal/chemistry* ; Models, Theoretical

Objective:To investigate the protective effects of Mailuoning(MLN)against cisplatin(CP)-induced acute kidney injury(AKI)utilizing network pharmacology and to analyze the underlying mechanism of action related to anti-apoptotic pathways.Methods:Active components of MLN and targets related to AKI were identified using network pharmacology.The active components of MLN were sourced from the TCMSP and ETCM 2.0 databases.The targets of components were predicted using the Swiss Target Prediction tool,and subsequently the targets related to AKI were retrieved from the GeneCards database to identify intersecting targets.A protein-protein interaction network was constructed using the STRING database,and a topological analysis was performed using Cytoscape to identify core targets.Gene Ontology(GO)functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway en-richment analyses were conducted on these core targets.For the animal experiments,forty mice were randomly assigned to four groups:solvent control,MLN toxicity control,CP model,and CP+MLN groups.The MLN group received intraperitoneal injections of MLN at a dose of 15 mL/(kg·d)for ten consecutive days.The CP model and CP+MLN groups were administered a single intraperitoneal injec-tion of CP at 20 mg/kg on day 7.Three days after the CP treatment,plasma levels of blood urea nitrogen(BUN)and creatinine(Cre)were measured.The pathological injury of kidney tissues was as-sessed using hematoxylin-eosin staining.Western blot analysis was utilized to determine the expression of neutrophil gelatinase-associated lipocalin(NGAL)and apoptosis-related proteins in kid-ney tissues.Results:A total of 104 active components of MLN and 224 targets were identified using network pharmacology,and 2 465 targets were identified to be related to AKI,resulting in 117 intersecting targets,of which,17 targets were classified as core targets.KEGG and GO analyses indicated that the apoptosis-related signal transduction pathway might be a crucial pathway through which MLN provided protective effects against AKI.The results of animal experiments confirmed the successful establishment of CP-induced AKI models in mice.Compared with the CP model group,MLN treatment significantly reduced plasma levels of BUN and Cre(P<0.05),inhibited NGAL protein expression in the kidneys(P<0.05),and improved the pathological injury observed in kidney tissues.Furthermore,MLN markedly reduced the expression levels of p-P53(ser 15)and cleaved caspase-3 proteins,as well as the Bax/Bcl-2 ratio in kidney tissues of AKI model mice(P<0.05),while upregulating protein kinase B phosphorylation levels(P<0.05).Conclusion:MLN demonstrates protective effects against CP-induced AKI in mice,potentially through mechanisms related to its anti-apoptotic properties.