Objective To investigate the predictive value of atherosclerotic index of plasma(AIP)for the risk of coronary heart disease(CHD)in patients with nonalcoholic fatty liver disease(NAFLD).Methods A retrospective analysis was conducted in 299 patients with NAFLD.Based on presence or absence of CHD,the patients were divided into NAFLD with CHD group(n=177)and NAFLD group(n=122).Clinical data were collected from both groups,and AIP was calculat-ed.Multivariate Logistic regression analysis was performed to explore the independent risk factors for CHD in patients with NAFLD.Receiver operating characteristic(ROC)curves were plotted to evalu-ate the predictive value of AIP for the risk of CHD in patients with NAFLD.Results The NAFLD with CHD group had a higher proportion of males,smokers,and higher levels of alanine aminotrans-ferase(ALT),aspartate aminotransferase(AST),fasting plasma glucose(FPG),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),γ-glutamyltransferase(GGT),uric acid(UA),and AIP than the NAFLD group.The NAFLD with CHD group also had lower levels of high-density lipoprotein cholesterol(HDL-C)than the NAFLD group(P＜0.05).Multivariate Logistic regression analysis revealed that males(OR=2.548,95％CI,1.402 to 4.632,P=0.002),high levels of AST(OR=1.038,95％CI,1.002 to 1.077,P=0.041),high levels of LDL-C(OR=1.811,95％CI,1.242 to 2.640,P=0.002),and high AIP(OR=16.117,95％CI,1.874 to 138.609,P=0.011)were independent risk factors for CHD in patients with NAFLD(P＜0.05).ROC curve analysis showed that AIP had an area under the curve of 0.746(95％CI,0.688 to 0.804)for pre-dicting CHD in patients with NAFLD,with a sensitivity of 76.3％and a specificity of 73.0％.Conclusion AIP is an independent influencing factor for CHD in patients with NAFLD and has certain predictive value for the risk of CHD in these patients.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

OBJECTIVES: To assess the preliminary efficacy and safety of a dose-intensified C5VD regimen (cisplatin, 5-fluorouracil, vincristine, and doxorubicin) in children with locally advanced hepatoblastoma. METHODS: This prospective study enrolled 24 children with newly diagnosed, locally advanced hepatoblastoma who received the dose-intensified C5VD regimen at Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children's Hospital between January 2020 and December 2023. Clinical characteristics, treatment outcomes, and chemotherapy-related toxicities were analyzed. RESULTS: Of the 24 patients, 13 were male and 11 were female, with a median age at diagnosis of 18.7 months (range: 3.5-79.4 months). All patients achieved complete macroscopic resection of hepatic lesions without liver transplantation. Serum alpha-fetoprotein levels decreased significantly after two chemotherapy cycles. During a median follow-up of 38.4 months (range: 15.8-50.7 months), all patients maintained continuous complete remission, with 3-year event-free survival and overall survival rates of 100%. Across 144 chemotherapy cycles, the incidence rates of grade 3-4 neutropenia, thrombocytopenia, and infections were 97%, 77%, and 71%, respectively; no treatment-related deaths occurred. Notably, 5 patients (21%) developed Brock grade ≥3 hearing loss, of whom 1 required a hearing aid. CONCLUSIONS The dose-intensified C5VD regimen demonstrates significant efficacy with an overall favorable safety profile in the treatment of newly diagnosed, locally advanced pediatric hepatoblastoma. Grade 3-4 myelosuppression and infection are the predominant toxicities. However, high‑dose cisplatin-induced ototoxicity remains a concern, highlighting the need for improved otoprotective strategies.
Humans ; Hepatoblastoma/pathology* ; Male ; Female ; Infant ; Liver Neoplasms/pathology* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Child, Preschool ; Prospective Studies ; Doxorubicin/adverse effects* ; Child ; Cisplatin/adverse effects* ; Vincristine/adverse effects* ; Fluorouracil/adverse effects*

OBJECTIVE: To study the clinical and laboratory characteristics of monoclonal gammopathy anemia and explore the risk factors associated with anemia in monoclonal gammopathy. METHODS: A retrospective analysis was conducted on 5 539 patients who underwent immunofixation electrophoresis at the First Affiliated Hospital of Chengdu Medical College from January 2016 to February 2024. A total of 351 newly diagnosed M protein positive patients were selected as the study subjects, including 270 in the anemia group and 81 in the non-anemia group. Laboratory test results were compared between the two groups, and logistic regression models were used to analyze the risk factors for anemia. ROC curve analysis was performed to evaluate the predictive value of risk factors for anemia in monoclonal gammopathy. RESULTS: The proportion of non-anemic patients was 23.1% (81/351), with a median age of 67(60-75) years; the proportion of anemic patients was 76.9% (270/351), with a median age of 70(63-75) years. The total protein, globulin, urea, creatinine, uric acid, β₂-microglobulin, and ceruloplasmin levels in the anemia group were higher than those in the non-anemia group ( P < 0.05), while albumin, neutrophil count, lymphocyte count, monocyte count, complement C3, complement C4, haptoglobin, and transferrin levels were lower in the non-anemia group ( P < 0.05). After adjustment, multivariate logistic regression analysis shows that elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 were independent risk factors for anemia in monoclonal gammopathy ( P < 0.05). ROC curve analysis demonstrates that GLB, β₂-MG, ANC, and complement C3 had good predictive value for anemia associated with monoclonal gammopathy. CONCLUSION Elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 are independent risk factors for anemia in monoclonal gammopathy (P < 0.05). The combined assessment of these four factors has good predictive value for anemia in monoclonal gammopathy.
Humans ; Retrospective Studies ; Anemia/complications* ; Aged ; Middle Aged ; Paraproteinemias/diagnosis* ; Risk Factors ; Male ; Female ; Logistic Models ; ROC Curve ; Complement C3

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

italic>Salvia miltiorrhiza, a commonly used traditional Chinese medicine, has been widely recognized for its blood-activating and stasis-removing properties in the clinical treatment of cardiovascular and cerebrovascular diseases. The synthesis and regulatory mechanism of tanshinones, the key active constituents of Salvia miltiorrhiza, have been a hot topic of research. The paper summarized the research findings on the regulation of tanshinone biosynthesis by transcription factors such as AP2/ERF, bHLH, MYB, bZIP, and WRKY in recent years. The review identifies the existing issues in the transcriptional regulation studies of Salvia miltiorrhiza and discusses the research direction of transcription factors in the regulation of tanshinone biosynthesis, providing a theoretical basis for the further discovery and utilization of functional genes involved in the regulation of tanshinone bioactive constituents.

Objective To investigate the causes of a cluster of suspected neonatal carbapenem-resistant Klebsiella pneumoniae(CRKP)bloodstream infection(BSI)in the neonatal department of a hospital,and provide references for the effective control of the occurrence of healthcare-associated infection(HAI).Methods Epidemiological in-vestigation on 3 neonates with CRKP BSI in the neonatal department from January 31 to February 6,2023 was per-formed.Specimens from environmental object surfaces were taken for environmental hygiene monitoring,and effec-tive control measures were taken according to the risk factors.Results From January 31 to February 6,2023,a to-tal of 60 neonates were admitted in the neonatal department,including 16 with peripherally inserted central venous catheter(PICC).Three neonates had CRKP BSI,with a incidence of 5.00％.There were 33 hospitalized neonates on the day(February 7)when the cluster of HAI was reported,with a prevalence rate of 9.09％(3/33).CRKP BSI rate in the neonatal department of this hospital from January 31 to February 6,2023 was higher than that in 2022(P＜0.001).The incubators of the 3 neonates with CRKP BSI were in the same ward and adjacent to each other.The first neonate with CRKP BSI(who developed BSI on January 31)underwent PICC maintenance on Feb-ruary 4,and the other 2 neonates with PICC maintenance immediately following the first one also developed CRKP BSI.CRKP were isolated from blood culture of all 3 neonates,and antimicrobial susceptibility testing results were consistent.Conclusion The occurrence of the cluster event of neonatal CRKP BSI may be related to the failure of strict implementation of aseptic procedures during PICC maintenance and cross contamination among items.

Objective To investigate the mechanism of Guizhi Fuling Pills in the treatment of polycystic ovary syndrome(PCOS)and endometriosis(EMT).Methods TCMSP was utilized to obtain the active ingredients and related targets of the constituent Chinese medicines of Guizhi Fuling Pills.GeneCards,PharmGKB,and TTD databases were used to screen PCOS and EMT disease targets,respectively.The Venn R diagram was drawn after obtaining the intersecting targets of drugs and diseases using the Venn R package in R software,the drug-active ingredient-potential target interactions network diagram was made in Cytoscape,the intersecting target protein-protein interactions(PPI)network diagram was drawn in the STRING platform,and Cytoscape was used to optimize the PPI network and screen the core targets.R language was applied for Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,and AutoDockTools was for molecular docking.Results A total of 85 active ingredients and 191 corresponding targets of Guizhi Fuling Pills were obtained,and 77 potential targets of Guizhi Fuling Pills for the treatment of PCOS and EMT.The core active ingredients of Guizhi Fuling Pills for PCOS and EMT were quercetin,β-sitosterol,kaempferol,hederagenin,baicalein,and the core targets were AKT1,EGFR,IL-6,TNF,and TP53.GO functional analysis yielded 2 020 biological process,34 cellular components,126 molecular functions,and KEGG enrichment analysis yielded 165 signaling pathways.Molecular docking showed that the core components in the formula docked well with the targets.Conclusion Guizhi Fuling Pills may regulate the signaling pathways of lipid and atherosclerosis,AGE-RAGE signaling pathway,fluid shear stress and atherosclerosis,and chemical carcinogenesis-receptor activation through quercetin,β-sitosterol,kaempferol,hederagenin,and baicalein,and act on AKT1,EGFR,IL-6,TNF,and TP53,thus treating PCOS and EMT with homotherapy for heteropathy.

Objective To screen the optimal regimen of Chinese medicine combined with hormones for the treatment of premature ovarian failure(POF)using network meta-analysis and to provide an evidence-based basis for the clinical treatment of POF.Methods The randomized controlled trials(RCTs)of Chinese medicine combined with hormones in the treatment of POF were retrieved from thhe domestic and oversea databases of CNKI,VIP,Wanfang,CBM,PubMed,Cochrane,Embase,and Web of Science.The quality of the literature was assessed using the tools for analysis of bias recommended by Cochrane Reviewer's Handbook and by Jadad scale scores.Rstudio and StataSE 15.1 statistical software were used to perform network meta-analysis and graphical presentation of the data.Results A total of 50 RCTs were included,covering 8 intervention methods.The overall risk of bias of the included studies was low,but the quality of the literature was generally low.The results of network meta-analysis showed that,in terms of the effective rate,the intervetion of 7 various Chinese medicines combined with hormone was superior to the conventional treatment(hormone replacement therapy,HRT)in the control group,and Nuangong Qiwei Powder+HRT was superior to the remaining 6 kinds of Chinese medicines combined with HRT;with reference to the values of the surface under the cumulative ranking curve(SUCRA),the efficiencies of the effective rate of the 8 intervention methods in descending order were Nuangong Qiwei Powder+ HRT(SUCRA=81.2),Zishen Yutai Pills + HRT(SUCRA=80.0),modified Zuogui Pills + HRT(SUCRA= 66.1),Ankun Zhongzi Pills + HRT(SUCRA=49.6),Kuntai Capsules + HRT(SUCRA=45.2),modified Erxian Decoction + HRT(SUCRA=39.5),Liuwei Dihuang Pills + HRT(SUCRA=37.4)and HRT(SUCRA=1.0).In terms of improving serum follicle-stimulating hormone(FSH)levels,modified Zuogui Pills + HRT was superior to the remaining 7 intervention methods;with reference to the values of the SUCRA,the efficiencies of the 8 intervention methods in descending order were modified Zuogui Pills + HRT(SUCRA=97.0),HRT(SUCRA= 77.9),Liuwei Dihuang Pills + HRT(SUCRA=76.6),Kuntai Capsules + HRT(SUCRA=46.5),Nuangong Qiwei Powder+HRT(SUCRA=38.9),Ankun Zhongzi Pills + HRT(SUCRA=29.9),modified Erxian Decoction + HRT(SUCRA=18.1),and Zishen Yutai Pills + HRT(SUCRA=15.1).Conclusion All kinds of Chinese medicines combined with HRT exert stronger effect on improving the primary outcome indicators than HRT alone for the treatment of POF.The intervention with Nuangong Qiwei Powder+HRT exerts the highest probability of the optimal regimen for enhancing the efficiency,and the intervention with Zuogui Pills + HRT exerts the highest probability of the optimal regimen for lowering the serum FSH level.However,due to the low quality of the included studies,more rigorously-designed,large sample-size,and high-quality randomized controlled trials need to be conducted in the future to provide conclusive evidence-based evidence.