Objective To explore the risk factors for mineral and bone disorder in maintenance hemodialysis patients, and to construct and validate a nomogram prediction model. Methods A total of 306 patients undergoing maintenance hemodialysis at Shanghai Eighth People’s Hospital from January 2021 to May 2025 were selected as study subjects and randomly divided into a training set (n＝214) and a validation set (n＝92) in a 7∶3 ratio. In the training set, patients were divided into a normal bone mineral metabolism group and an abnormal bone mineral metabolism group, and related factors were compared between the two groups. The multivariate logistic regression analysis was used to identify the influencing factors of mineral and bone disorder in maintenance hemodialysis patients in the training set, and a nomogram prediction model was constructed. ROC curves were drawn to evaluate the ability of the nomogram model for predicting mineral and bone disorder in these patients. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to analyze the consistency of the predictive probability of nomogram model and actual probability of mineral and bone disorder in these patients. The decision curve was used to assess the clinical benefit using nomogram prediction model. Results Among the 306 hemodialysis patients, 254 patients had mineral and bone disorder, accounting for 83.01%. Among the 214 patients in the training set, 177 had mineral and bone disorder, accounting for 82.71%. In the training set, age, gender, body mass index (BMI), hypertension rate, dialysis age, blood urea nitrogen (BUN), hemoglobin (Hb), albumin (ALB), alkaline phosphatase (ALP), serum creatinine (SCr), uric acid (UA), estimated glomerular filtration rate (eGFR), and rate of taking phosphate binders were statistically significant different between the two groups (P＜0.05). The multivariate logistic regression analysis showed higher age, female, hypertension, longer dialysis duration, decreased eGFR, and not taking phosphate binders were identified as risk factors for mineral and bone disorder in maintenance hemodialysis patients (P＜0.01). The nomogram prediction model was constructed. The area under the ROC curve of the model for mineral and bone disorder in the training set and validation set was 0.895 (95%CI 0.850-0.941) and 0.881 (95%CI 0.830-0.932), respectively, with maximum Youden indice of 0.650 and 0.600, sensitivity of 0.856 and 0.849, and specificity of 0.794 and 0.751. The Hosmer-Lemeshow test showed the nomogram prediction model had good consistency in predictive probabilities with actual probabilities in training set and validation set. The decision curve showed the nomogram model could bring clinical net benefits when the threshold probabilities in the training set and validation set were less than 0.96 and 0.91. Conclusions The nomogram prediction model constructed based on six independent risk factors including age, gender, hypertension, dialysis duration, eGFR, and using phosphate binders or not, shows good discrimination and calibration, with good clinical predictive ability, which could provide guidance for the management of maintenance hemodialysis patients.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective To explore the regularity of prescriptions for epidemic disease in Taiping Huimin Heji Ju Fang based on the latent structure model and association rules analysis,and to provide references for modern epidemic treatment.Methods Prescriptions for epidemic diseases were extracted from Taiping Huimin Heji Ju Fang.A high-frequency herb matrix(frequency≥10)was constructed,and high-frequency herbs were analyzed using MicrosoftExcel 2016,Lantern 5.0,and IBM SPSS Modeler 18.0 for efficacy classification,property/flavor/channel tropism statistics,latent structure modeling,and association rule analysis.Results Among the 200 collected herbal prescriptions,46 high-frequency medicinal materials were identified,such as licorice,fresh ginger,dried ginger,poriae,and ginseng.The top 3 drugs efficacy were tonifying deficiency,relieving surface and warming inner.The medicinal properties were mainly warm,and the medicinal flavors were pungent,bitter,and sweet.The meridian tropisms mainly included the spleen meridian,lung meridian and stomach meridian.The analysis of latent structure model suggested that there were 8 types of common symptoms of epidemic disease,such as wind evil attack exterior,wind-cold-dampness,wind-heat,excess-heat in triple energizer,dampness inhibits qi stagnation,yang deficiency,blockage and spleen-qi deficiency.Theanalysis of association rules obtained licorice-ephedra and licorice-atractylodes,which with a core of licorice medicine,and the 16 association rules such as dried ginger-cinnamon,pericarpium citri reticulatae-mangnolia officinalis and poriae-ginseng-atractylodes macrocephala after eliminating ginger,jujube and licorice.Conclusion Most of the medicines used in the treatment of epidemic diseases in Taiping Huimin Heji Ju Fang are pungent,bitter and dispelling evil,the treatment should follow the principle of dispelling evil,warming yang to dissipate cold,dispelling dampness,clearing heat and expelling fire,inducing resuscitation,supporting the right and supplementing deficiency,which embodies the treatment principle of dispelling evil and supporting right,and provides reference and ideas for the treatment of clinical diseases based on syndrome differentiation.

Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer-related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.

Objective:To evaluate the efficacy of two different approaches:direct anterior approach(DAA)and posterolateral approach(PLA)in total hip arthroplasty(THA).Methods:This study adopted a retrospective cohort study design,included to analyse 128 cases of THA patients who were received in our hospital from January 2021 to January 2024.Patients were divided into PLA group(n=61)and DAA group(n=67)according to different approach methods.Perioperative indicators,Harris hip joint function score,anteversion and abduction angles of acetabular prosthesis and incidence of complications were compared between the two groups.Results:Compared with PLA group,DAA group had longer surgical time,less intraoperative blood loss,shorter surgical incision length and shorter postoperative hospital stay(P＜0.05).Compared with the PLA group at 1 month(T2)to 6 months(T4)after surgery,DAA group had higher Harris hip joint function score(P＜0.05).Conclusion:Compared with PLA,DDA is used in THA,although the surgery time is longer,it can achieve a similar recovery effect in anteversion and abduction angles,which helps to shorten the surgical incision length and postoperative hospital stay,reduce intraoperative blood loss and achieve better hip joint function recovery.

Objective:To compare postoperative complications between acellular dermal matrix（ADM）and direct suture for tongue mucosa defect repair during lingual mucosa urethroplasty.Methods:A retrospective analysis was conducted on 106 patients with anterior urethral stricture who underwent lingual mucosal urethroplasty at the Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from July 2022 to July 2024. According to the needs of urethral reconstruction，lingual mucosa was harvested（graft length 0.5 cm longer than the stricture length）. Using an instrumental variable method based on the surgeon’s preference，the tongue wound was repaired either with ADM or direct suture. The ADM group included 56 patients，aged（46.2±18.7）years；diabetes in 8 cases（14.3%），hypertension in 15 cases（26.8%），cardiopulmonary dysfunction in 3 cases（5.3%）；stricture location：penile segment in 44 cases（78.6%），penoscrotal junction in 12 cases（21.4%）；etiology：lichen sclerosus in 8 cases（14.3%），urethritis in 8 cases（14.3%），trauma in 24 cases（42.9%），and re-stricture after hypospadias surgery in 16 cases（28.6%）；maximum urinary flow rate（5.8±2.9）ml/s；graft length（4.02±1.72）cm. The direct suture group included 50 patients，aged（45.8±19.2）years；diabetes in 6 cases（12.0%），hypertension in 12 cases（24.0%），cardiopulmonary dysfunction in 2 cases（4.0%）；etiology：lichen sclerosus in 6 cases（12.0%），urethritis in 8 cases（16.0%），trauma in 25 cases（50.0%），and re-stricture after hypospadias surgery in 11 cases（22%）；stricture location：penile segment in 36 cases（72.0%），penoscrotal junction in 14 cases（28.0%）；maximum urinary flow rate（6.2±3.1）ml/s；graft length（4.18±1.68）cm. There were no statistically significant differences in the above baseline characteristics between the two groups（ P>0.05）.ADM group after electrocautery hemostasis，an ADM patch tailored to the wound size was used to cover the donor site. The edges of the ADM were overlapped with the wound margin and sutured to the submucosal layer using interrupted 4-0 polyglactin sutures. Direct suture group after electrocautery hemostasis，the wound was stretched into a diamond shape and closed in layers by suturing the mucosal layer down to the muscle layer using interrupted 4-0 polyglactin sutures. The primary outcome measures were postoperative tongue complications including hemorrhage，hematoma，and infection（Clavien-Dindo classification）. Secondary outcomes included VAS pain scores，functional recovery（difficulty drinking，difficulty eating，speech impairment，limited mouth opening），and sensory recovery（sensory disturbance，taste disturbance）. Results:The follow-up period ranged from 6 to 24 months，with a mean of 9.2 months. The 6-month follow-up rate was 100%. No Clavien-Dindo grade Ⅲ or higher complications（hemorrhage，hematoma，infection）occurred by the end of follow-up. Regarding secondary outcomes，the VAS pain score on postoperative day 1 was significantly better in the ADM group than in the suture group［0（0，3）vs. 2（0，3），P=0.013］.Functional impact：The incidence of difficulty drinking［24 cases（42.9%）vs. 36 cases（72.0%），16 cases（28.6%）vs. 36 cases（72.0%），8 cases（14.3%）vs. 21 cases（42.0%）］，difficulty eating［20 cases（35.7%）vs. 36 cases（72.0%），16 cases（28.6%）vs. 36 cases（72.0%），8 cases（14.3%）vs. 27 cases（54.0%）］，and speech impairment［20 cases（35.7%）vs. 36 cases（72.0%），16 cases（28.6%）vs. 36 cases（72.0%），8 cases（14.3%）vs. 27 cases（54.0%）］on postoperative day 1，day 7，and within the first month，respectively，was significantly lower in the ADM group（all P<0.05）. On postoperative day 1 and day 7，the incidence of limited mouth opening was higher in the ADM group［0 cases vs. 6 cases（12.0%），0 cases vs. 6 cases（12.0%）］（ P<0.05）.Sensory recovery：The incidence of taste disturbance was higher in the ADM group at 7 days［8 cases（14.3%）vs. 0 cases］，1 month［8 cases（14.3%）vs. 0 cases］，and 3 months［8 cases（14.3%）vs. 0 cases］postoperatively（ P<0.05）. The incidence of sensory disturbance was higher in the ADM group at 1 day［20 cases（35.7%）vs. 6 cases（12.0%）］，7 days［16 cases（28.6%）vs. 6 cases（12.0%）］，and 1 month［16 cases（28.6%）vs. 6 cases（12.0%）］postoperatively（ P<0.05）. Pain scores and complication rates were zero in both groups after 6 months. Conclusions:ADM repair improves early recovery but may increase transient sensory complications. Both methods are safe for clinical application.

The advantages of deep learning(DL)over the traditional imaging evaluation methods were introduced for tumor prognosis prediction and efficacy assessment.The research progress of DL applied in prognosis and efficacy prediction of head and neck squamous cell carcinoma was reviewed in terms of survival prediction,local recurrence and distant metastasis,cervical lymph node metastasis,therapeutic efficacy and molecular markers of tumors.The defficiencies of DL for prognosis and efficacy prediction of head and neck squamous cell carcinoma were explored,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(6):97-104]

Objective To explore the regularity of prescriptions for epidemic disease in Taiping Huimin Heji Ju Fang based on the latent structure model and association rules analysis,and to provide references for modern epidemic treatment.Methods Prescriptions for epidemic diseases were extracted from Taiping Huimin Heji Ju Fang.A high-frequency herb matrix(frequency≥10)was constructed,and high-frequency herbs were analyzed using MicrosoftExcel 2016,Lantern 5.0,and IBM SPSS Modeler 18.0 for efficacy classification,property/flavor/channel tropism statistics,latent structure modeling,and association rule analysis.Results Among the 200 collected herbal prescriptions,46 high-frequency medicinal materials were identified,such as licorice,fresh ginger,dried ginger,poriae,and ginseng.The top 3 drugs efficacy were tonifying deficiency,relieving surface and warming inner.The medicinal properties were mainly warm,and the medicinal flavors were pungent,bitter,and sweet.The meridian tropisms mainly included the spleen meridian,lung meridian and stomach meridian.The analysis of latent structure model suggested that there were 8 types of common symptoms of epidemic disease,such as wind evil attack exterior,wind-cold-dampness,wind-heat,excess-heat in triple energizer,dampness inhibits qi stagnation,yang deficiency,blockage and spleen-qi deficiency.Theanalysis of association rules obtained licorice-ephedra and licorice-atractylodes,which with a core of licorice medicine,and the 16 association rules such as dried ginger-cinnamon,pericarpium citri reticulatae-mangnolia officinalis and poriae-ginseng-atractylodes macrocephala after eliminating ginger,jujube and licorice.Conclusion Most of the medicines used in the treatment of epidemic diseases in Taiping Huimin Heji Ju Fang are pungent,bitter and dispelling evil,the treatment should follow the principle of dispelling evil,warming yang to dissipate cold,dispelling dampness,clearing heat and expelling fire,inducing resuscitation,supporting the right and supplementing deficiency,which embodies the treatment principle of dispelling evil and supporting right,and provides reference and ideas for the treatment of clinical diseases based on syndrome differentiation.

The advantages of deep learning(DL)over the traditional imaging evaluation methods were introduced for tumor prognosis prediction and efficacy assessment.The research progress of DL applied in prognosis and efficacy prediction of head and neck squamous cell carcinoma was reviewed in terms of survival prediction,local recurrence and distant metastasis,cervical lymph node metastasis,therapeutic efficacy and molecular markers of tumors.The defficiencies of DL for prognosis and efficacy prediction of head and neck squamous cell carcinoma were explored,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(6):97-104]

BACKGROUND:Currently,traditional Chinese medicine has accumulated extensive experience in the treatment and management of ischemic stroke.The application of latent structure combined with association rule analysis to deeply explore and summarize the"medicine-prescription-syndrome"rules is conducive to promoting the optimization of ischemic stroke prevention and treatment strategies.OBJECTIVE:To explore the rules of Chinese medicine in the treatment of ischemic stroke,and provide a reference for the clinical treatment of ischemic stroke based on syndrome differentiationMETHODS:A systematic search was conducted for clinical research literature on traditional Chinese medicine treatment of ischemic stroke from China National Knowledge Infrastructure(CNKI),WanFang,VIP,and SinoMed databases,covering the period from January 1,1990,to August 15,2024.The relevant studies were selected and the data were extracted into an Excel 2019 database for analysis.The frequency of use of Chinese herbs,their properties,meridional tropism,therapeutic effects and associated syndromes were analyzed.High-frequency herbs(＞4％)were subjected to latent structure modeling,comprehensive clustering,and association rule analysis using Lantern 5.0 and RStudio software,followed by summary of medication patterns and potential traditional Chinese medicine syndromes for ischemic stroke.RESULTS AND CONCLUSION:(1)A total of 231 articles were included,involving 203 kinds of traditional Chinese medicine,and the frequency of use was 2 524 times.(2)The high-frequency Chinese herbs were Chuanxiong,Earthworm,Angelica,Astragalus,Salviorrhiza,red peony root,safflower,leech,peach kernel,and pinellia.These herbs had predominantly warm,cold,or neutral properties,with bitter,sweet,and pungent flavors.Primary meridional tropism targets the liver,spleen and heart.Drug for invigorating blood circulation and eliminating stasis,deficiency tonifying drug,calming liver wind drug,expectorant cough suppressant and anti-asthmatic drug were used more frequently.(3)The latent structure model analysis identified 7 latent variables,14 latent classes,6 comprehensive clustering models,and 19 core prescriptions.It is hypothesized that the main traditional Chinese medicine syndromes for ischemic stroke are qi deficiency and blood stasis syndrome,wind-phlegm obstructing the channels syndrome,phlegm and blood stasis obstructing the channels syndrome,and phlegm-heat obstructing the viscera syndrome.(4)The association rule analysis revealed 29 strongly associative rules,including 2 two-item rules and 27 three-item rules.The highest degree of support was Angelica-Chuanxiong,and the highest degree of confidence was Angelica+licorice-Chuanxiong.The results show that ischemic stroke is a syndrome with qi and blood deficiency,liver and kidney Yin deficiency as the root causes,and wind,phlegm,blood stasis,and fire as the manifestations.The treatment is mainly to benefit qi and strengthen health,promote blood circulation and remove blood stasis,combined with pathological factors such as"phlegm and heat,""qi stagnation,""Yin deficiency,"and"liver fire,"supplemented by clearing heat and phlegm,promoting qi stagnation,nourishing liver and kidney,clearing liver and reducing fire.