Objective To investigate the therapeutic effect of Huangkui capsules on targeted drug-related proteinuria in patients with hepatocellular carcinoma (HCC). Methods A retrospective analysis was conducted on clinical data of HCC patients with targeted drug-related proteinuria from June 2023 to December 2024 at Zhongshan Hospital, Fudan University. According to the treatment plan, patients were divided into the conventional treatment group and the Huangkui combination treatment group (Huangkui capsules combined with conventional treatment), and the clinical efficacy between the two groups was compared. The logistic regression analysis was used to identify the main factors affecting treatment efficacy. Results The Huangkui combination treatment group (n＝29) showed a significantly higher overall effective rate (79.3% vs 42.3%, P＝0.005), and an earlier proteinuria improvement (median time: 3 months vs 6 months, P＝0.008) than the conventional treatment group (n＝26) . The multivariate logistic regression analysis showed angiotensin-converting enzyme inhibitor (ACEI) or angiotensin Ⅱ receptor blocker (ARB) using (OR＝0.190, 95%CI 0.045-0.808, P＝0.025), targeted drug adjustment (OR＝0.132, 95%CI 0.030-0.581, P＝0.007), and Huangkui capsules using (OR＝0.168, 95%CI 0.039-0.730, P＝0.017) were protective factors for treatment efficacy of targeted drug-related proteinuria. Conclusions On the basis of conventional treatment, additive treatment with Huangkui capsules can alleviate targeted drug-related proteinuria faster and more effectively in HCC patients.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Objective To explore the principle of antibacterial drug therapy and the strategy of program optimization in elderly patients with Helicobacter pylori（Hp）. Methods The common therapeutic regimen of Hp was summarized, and the better therapeutic regimen of elderly Hp patients was screened ultimately. Results Amoxicillin and cefuroxime were relatively safe compared with other recommended antibacterial drugs. Using other commonly antibiotics for Hp should pay attention to the disease of patients and current drug. Conclusion Elderly patients usually suffered from a variety of diseases and required multiple drugs. The application of therapeutic regimen for elderly patients with Hp should be supposed to fully weigh the risks and benefits.

Objective To evaluate the effectiveness of a preventive workflow in participatory observation based on healthcare failure mode and effect analysis(HFMEA)in reducing intraoperative acquired pressure injury(IAPI)in patients undergoing spinal surgery,and to provide evidences for prospective nursing management.Methods A preventive workflow of participatory observation-based HFMEA was established,which included defining HFMEA topic,forming a multidisciplinary team,creating a process map(through participatory observation),conducting failure mode and hazard analysis(using a Hazard scoring matrix and decision tree analysis,and identifying the causes of key failure through Pareto chart analysis),implementing improvement actions,and tracking effectiveness.Ultimately,11 high-risk failure modes were identified for further improvement:poor design of form/information system,heavy workload and fast pace,lack of departmental regulations,risk factors of IAPI,and unclear duty and responsibility in a multidisciplinary team.A series measures for improvement were developed and implemented based on the identified key causes.A pre-and post-control study was carried out.A total of 180 patients who received spinal surgery between November and April 2024 and received traditional preventive methods were assigned to a control group.While further 218 patients who received spinal surgery between May and December 2023 were assigned to the trial group with the participatory observation on the basis of HFMEA prevention workflow.IAPI incidence rate and severity were compared between the two groups,as well as the completion rate of preoperative IAPI risk assessment in the trial group.Results The trial group demonstrated significantly lower IAPI incidence and severity compared with those in the control group(P<0.05).In the trial group,178 patients(98.92%)completed the preoperative IAPI risk assessment,and 172 patients(95.47%)completed the intraoperative assessment.Conclusion The participatory observation based HFMEA prevention workflow can effectively reduce an incidence and severity of IAPI in patients undergoing spinal surgery,ensure patient safety and thereby enhance the quality of nursing management.

Objective To establish a mouse model of H1N1 influenza wind-heat syndrome by combining climate intervention with influenza virus nasal drops.Methods Seventy-two BALB/c mice were divided randomly into nine groups:a Control group,wind-heat(FR)groups(FR-3Day,FR-5Day),and Model groups(1LD-3Day,2LD-3Day,3LD-3Day,1LD-5Day,2LD-5Day,2LD-5Day,3LD-5Day)(n=8 mice per group).Mice in the Control group were housed in a normal environment,while mice in the FR and Model groups were kept in wind-heat conditions for 7 d.Mice in the Model groups received nasal PR8 influenza virus infection on the 8th day,and mice in the Control and FR heat groups received equal amounts of physiological saline nasal drops.After virus challenge,each group was housed in a normal environment and samples were taken on days 3 and 5.The appearance of the mice was observed and recorded and the lung index,routine blood parameters,lung tissue pathology,serum interleukin(IL)-6 levels,and virus titers were detected in each group based on their behavioral status,stools,and body temperature.Results After 7 d of wind-heat intervention,mice in the FR groups showed no significant abnormalities in terms of appearance,stools,body temperature,routine blood parameters,or lung tissue pathology compared with the Control group.The appearance,lung index,red blood cell count,hemoglobin,hematocrit,pathological result,and body temperature in the Model groups worsened progressively with increasing time and toxin dosage,while the neutrophil percentage,lymphocyte percentage,virus titer,and serum IL-6 levels peaked on day 3 after viral attack,for the same viral dose,and then decreased slightly on day 5.Conclusions PR8 nasal drops and 7 d of wind-heat climate intervention can be used to establish a mouse model of influenza wind-heat syndrome.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

AIM To compare the chemical constituents in traditional decoction and formula granule decoction of classical famous prescription Wendan Decoction.METHODS The HPLC fingerprints were established,after which the contents of adenosine,synephrine,liquiritin,naringin,hesperidin,6-gingerol and adenosine cyclophosphate were determined,cluster analysis,principal component analysis and multidimensional scaling analysis were adopted in the investigation of component differences,and the equivalent of formula granules was adjusted.RESULTS The similarities of HPLC fingerprints for 10 batches of traditional decoctions were higher than those of HPLC fingerprints for 9 batches of formula granule decoctions(P＜0.01).Adenosine,synephrine,liquiritin,hesperidin and cyclic adenosine monophosphate demonstrated higher contents in traditional decoctions than those in formula granule decoctions(P＜0.05),6-gingerol displayed lower content than that in the latter produced by manufacturers A,C(P＜0.05),which was higher than that in the latter produced by manufacturer B(P＜0.01).Various batches of traditional decoctions and formula granule decoctions could be obviously distinguished,adenosine,synephrine and hesperidin exhibited great influences on the classification of principal component analysis,and the quality of formula granule decoctions produced by manufacturer C was closer to that of traditional decoctions.After equivalent correction,the contents of various constituents in formula granule decoctions produced by manufacturers A,C showed no significant differences as compared with those in traditional decoction(P＞0.05).CONCLUSION The formula granules of Wendan Decoction from different manufacturers exist quality differences,so the preparation process and extraction process of this preparation should be optimized to improve quality,and equivalent ratio should be adjusted according to actual requirements to ensure its scientific and rational clinical application.

Adenoid cystic carcinoma(ACC)of the cervix is a rare and highly aggressive subtype of cervical cancer,accounting for less than 1%of all cervical cancer cases.ACC predominantly affects postmenopausal women over the age of 60,with postmenopausal vaginal bleeding being the most common symptom.Diagnosis of ACC primarily relies on histopathological examination and immunohistochemical analysis.Although there is currently no standard treatment protocol,surgical resection combined with radiotherapy or concurrent chemoradiotherapy is considered to be an effective approach.However,the effectiveness is limited,particularly in advanced cases,which generally have a poor prognosis.The treatment and prognosis of ACC are closely related to tumor staging,perineural invasion,and margin status.This paper discusses the clinical data and follow-up of six ACC patients treated at our institution,and goes through a literature review,examines its clinical features and treatment outcomes,underscores the critical importance of early diagnosis and individualized treatment.

Genistein is a naturally occurring compound widely found in leguminous plants and is the primary active ingredient in traditional Chinese medicinal herbs such as Astragalus,Puer-aria lobata(Kudzu),Fagopyrum esculentum(Buckwheat),and Rhodiola.Modern pharmacological research indicates that genistein possesses a variety of biological activities,including anti-inflammatory,antioxidant,antitumor,lipid-lowering,an-tidiabetic,anti-ultraviolet,and neuroprotective effects.There-fore,by summarizing and generalizing the pharmacological ac-tions and mechanisms of genistein,it is hoped to provide a basis for its clinical application and drug development.

After ischemic stroke,intracranial cells experience stress due to ischemic and hypoxic injury,leading to a series of aseptic immune response processes.The oxidative stress process in microglias triggers the activation of the NLRP3 inflammasome,which promotes the release of inflammatory factors such as IL-1β and IL-18,contributing to the inflammatory reaction caused by isch-emic stroke.In addition,NLRP3 inflammasome is involved in the polarization,pyroptosis and autophagy of microglias,regulating the prognosis of ischemic stroke.This review summarizes the specific mechanisms of NLRP3 inflammasome in regulating microglial status and its involvement in ischemia-reperfusion injury.It also discusses the associated treatment strategies,identifies the current research focus and blanks,and provides some guidance and ideas for future research.