ObjectiveTo evaluate and analyze the syndrome characteristics of Qi and Yin deficiency accompanied by Qi stagnation and blood stasis in a rhein-induced cathartic colon （CC） rat model. MethodsTwenty-four rats were divided into a normal group and a model group （CC group）. The rats were administered equal volumes of physiological saline or 2% rhein suspension by gavage to establish the model over three cycles （approximately 118 days）. The first cycle lasted 46 days， with a dosage of 12 mL·kg^-1·d^-1， administered every other day. The second cycle lasted 37 days， with a dosage of 12 mL·kg^-1·d^-1， administered for 5 consecutive days followed by 2 days of cessation. The third cycle lasted 35 days， with a dosage of 16 mL·kg^-1·d^-1， also administered for 5 consecutive days followed by 2 days of cessation. Each cycle ended when 80% of the rats no longer exhibited loose stools. Body mass， 24 h food intake， coat condition， and coat red （R）， green （G）， and blue （B） values were recorded. The open field test （OFT） was used to measure the total distance traveled to evaluate Qi deficiency. The body mass coefficient and 24 h water intake were recorded to assess Yin deficiency. The sucrose preference test （SPT） was used to determine the sucrose preference rate （SPR）， and the average speed in OFT was measured to evaluate depressive status （liver depression and Qi stagnation）. Tongue images and their R， G， and B values were recorded. Whole blood viscosity （WBV） and plasma viscosity （PV） were measured using an automatic hemorheological analyzer to evaluate blood stasis. A carbon ink propulsion test was performed to determine the intestinal transit rate （ITR） for disease model evaluation. Hematoxylin-eosin （HE） staining was used to observe histopathological changes in the colon. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of transient receptor potential ankyrin 1 （TRPA1） and tryptophan hydroxylase 1 （TPH1） in colon tissue. Western blot was used to detect the protein expression of TRPA1 and TPH1. ResultsIn terms of syndrome indicators， compared with the normal group， the body mass of the CC group decreased （P<0.05）， while 24 h food intake increased （P<0.01）. The coats of the CC group appeared withered， disheveled， and dull， and the R， G， and B values of the coat decreased （P<0.01）. The total distance traveled in OFT decreased （P<0.01）. The body mass coefficient decreased （P<0.01）， while 24 h water intake increased （P<0.05， P<0.01）. The SPR decreased （P<0.01）， and the average speed in OFT slowed （P<0.01）. The tongue appeared dark red， and the R， G， and B values of tongue images decreased （P<0.01）. WBV and PV increased （P<0.01）. Regarding disease indicators， compared with the normal group， the ITR decreased in the CC group （P<0.01）. Pathologically， HE staining showed necrosis and shedding of colonic mucosal epithelial cells， disruption of mucosal continuity， and infiltration of inflammatory cells in the lamina propria in the CC group. Semi-quantitative analysis showed increased HAI scores （P<0.05） and increased inflammatory cell counts and area proportion （P<0.05）. In terms of molecular biological indicators， compared with the normal group， the mRNA and protein expression levels of TRPA1 and TPH1 in colon tissue decreased in the CC group （P<0.05， P<0.01）. ConclusionThe rhein-induced CC rat model conforms to the traditional Chinese medicine syndrome characteristics of Qi and Yin deficiency accompanied by Qi stagnation and blood stasis.

Standard pancreatic resection procedures, such as pancreaticoduodenectomy, distal pancreatectomy with splenectomy, and total pancreatectomy are widely used to treat pancrea-tic lesions. However, these procedures involve extensive removal of pancreatic tissue and adjacent organs, often leading to a significant decline in patients′ long-term quality of life. Therefore, for some benign pancreatic lesions and low-grade malignant tumors, organ-sparing pancreatectomy is now recommended. This approach includes enucleation, central pancreatectomy, spleen-preserving distal pancreatectomy, or duodenum-preserving pancreatic head resection. These operations aim to com-pletely remove the pancreatic lesion while preserving as much healthy pancreatic tissue and surro-unding organs as possible. Maintaining the digestive tract′s anatomical and physiological integrity reduces the risk of postoperative endocrine and exocrine insufficiency, ultimately improving long-term outcomes. Along with the rise of minimally invasive techniques, robotic organ-sparing pancrea-tectomy is increasingly adopted in clinical practice, offering distinct advantages. The authors high-light the main surgical techniques in robotic organ-sparing pancreatectomy and examine their clini-cal applications, aiming to enhance surgeons′ correct understanding of the concept of robotic organ-sparing pancreatectomy and assist in the rational selection of robotic organ-sparing pancreatectomy surgical methods during the treatment process.

Objective To observe the value of nomogram of ultrasound combined with laboratory indexes for predicting axillary lymph node metastasis(ALNM)of stage cT1N0 breast invasive ductal carcinoma(IDC).Methods A total of 77 cases with pathologically diagnosed stage cT1N0 single breast IDC were retrospectively collected,including 23 cases with and 54 cases without ALNM.Univariate and multivariate binary logistic regression analysis were used to analyze clinical data,laboratory indicators and ultrasonic manifestations,then the independent predictors of ALNM of stage cT1N0 breast IDC were screened to establish laboratory indexes model,ultrasound model and combined model,respectively,and nomogram of the combined model was drawn.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive efficacy of each model.The consistency of results of combined model and actual results was analyzed using calibration curve.Decision curve analysis(DCA)was used to explore the clinical value of each model.Results Serum carbohydrate antigen 153(CA153)(OR=1.132),platelet-to-lymphocyte ratio(PLR)(OR=1.020)and echo attenuation behind the lesion on ultrasound(OR=8.789)were all independent predictors of ALNM in stage cT1N0 breast IDC(all P＜0.05),and the area under the curve(AUC)of laboratory indexes model,ultrasound model and combined model for predicting ALNM of stage cT1N0 breast IDC was 0.757,0.616 and 0.836,respectively.The consistency of the predicted results of combined model and actual results was good.When the threshold was higher than 0.15,the net benefit of combined model was higher than that of the other 2 models.Conclusion Nomogram of ultrasound combined with laboratory indexes could effectively predict ALNM of stage cT1N0 breast IDC.

Objective To observe the value of intratumoral and peritumoral ROI-based CT radiomics combined with clinical and imaging features for preoperatively predicting renal capsule invasion of clear cell renal cell carcinoma(ccRCC).Methods Totally 105 ccRCC patients were retrospectively collected and divided into invasion group(n=70)and non-invasion group(n=35)according to post operation pathology,also divided into training set(n=84,including 56 cases of invasion group and 28 of non-invasion group)and test set(n=21,including 14 cases of invasion group and 7 of non-invasion group)at a ratio of 8∶2.A clinical-imaging model was constructed based on clinical and CT features being significantly different between groups.Radiomics features related to renal capsule invasion were extracted and selected from intratumoral and of 1-6 mm peritumoral ROI on unenhanced phase(UP),corticomedullary phase(CMP)and nephrographic phase(NP)CT images,respectively.The optimal algorithm was selected among 6 machine learning algorisms based on CMP intratumoral ROI.With the optimal and selected features,single intratumoral or peritumoral models,combined intratumoral and peritumoral models within the same phase and combined pairwise models within the same range across different phases images were established.The best performing radiomics model was chosen and integrated with clinical and imaging features to form a combined model.Receiver operating characteristic(ROC)curves were drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of model for predicting renal capsule invasion of ccRCC,which were compared using DeLong's test.Results Hypertension,presence of clinical symptoms and high enhancement degree on CMP images were all independent predicting factors for renal capsule invasion of ccRCC,which were used to establish clinical-imaging model.Support vector machine(SVM)was the optimal algorithm.CMP peritumoral 3 mm model,CMP intratumoral model,NP peritumoral 4 mm model,NP intratumoral+peritumoral 4 mm model and CMP peritumoral 3 mm+NP peritumoral 3 mm model showed higher performance than the others,with AUC being not significantly different(all P＞0.05).CMP peritumoral 3 mm model was the optimal radiomics model,with the highest AUC(0.898)in test set.The combined model demonstrated superior AUC(0.979)in training set compared to both clinical-imaging model and the optimal radiomics model alone(both P＜0.05),while in test set(AUC 0.918)showed comparable performance with the latter two(both P＞0.05).Conclusion CT-based peritumoral radiomics models were equally effective for preoperatively predicting renal capsule invasion of ccRCC.Combining with clinical and imaging features might further enhance diagnostic performance.

Standard pancreatic resection procedures, such as pancreaticoduodenectomy, distal pancreatectomy with splenectomy, and total pancreatectomy are widely used to treat pancrea-tic lesions. However, these procedures involve extensive removal of pancreatic tissue and adjacent organs, often leading to a significant decline in patients′ long-term quality of life. Therefore, for some benign pancreatic lesions and low-grade malignant tumors, organ-sparing pancreatectomy is now recommended. This approach includes enucleation, central pancreatectomy, spleen-preserving distal pancreatectomy, or duodenum-preserving pancreatic head resection. These operations aim to com-pletely remove the pancreatic lesion while preserving as much healthy pancreatic tissue and surro-unding organs as possible. Maintaining the digestive tract′s anatomical and physiological integrity reduces the risk of postoperative endocrine and exocrine insufficiency, ultimately improving long-term outcomes. Along with the rise of minimally invasive techniques, robotic organ-sparing pancrea-tectomy is increasingly adopted in clinical practice, offering distinct advantages. The authors high-light the main surgical techniques in robotic organ-sparing pancreatectomy and examine their clini-cal applications, aiming to enhance surgeons′ correct understanding of the concept of robotic organ-sparing pancreatectomy and assist in the rational selection of robotic organ-sparing pancreatectomy surgical methods during the treatment process.

Objective To investigate the biomechanical differences in plantar pressure,postural stability,and plantar Visual Analogue Scale(VAS)scores between normal feet and unilateral/bilat-eral pes cavus,reveal their unique neuromechanical compensation mechanisms,and construct a sta-bility early warning model based on the minimum center of pressure(COP)trajectory classification.Methods A total of 70 patients with pes cavus from December 2023 to October 2024 were selected as study subjects,including 33 patients in the unilateral pes cavus group and 37 patients in the bilat-eral pes cavus group.During the same period,32 normal feet were included as normal foot group.A flat-panel plantar pressure testing system was used to collect dynamic plantar pressure data and COP trajectories from three groups at a self-selected walking speed.There were no statistically significant differences in baseline data such as age,gender,and body mass index among the three groups(P＞0.05).One-way analysis of variance and the Wilcoxon rank-sum test were used to compare the differences in maximum pressure,contact area,VAS scores,and the 95％confidence ellipse area of the COP among the three groups in 10 plantar regions.Results Patients with pes cavus exhibited lower peak pressure in the MF region compared to normal feet,while higher peak pressure in the M2,M3,and MH regions.Patients with bilateral pes cavus showed lower peak pressure in the T1 region compared to normal feet,and patients with unilateral pes cavus had lower peak pressure in the LH region compared to the normal group(P＜0.05).The plantar contact area in patients with pes cavus was reduced in the T1,M2,M3,M4,MF,and MH regions compared to normal feet(P＜0.05).The 95％confidence ellipse area of the COP was larger in both the bilateral and uni-lateral pes cavus groups compared to the normal foot group(P＜0.001).Unilateral pes cavus pres-ented a specific lateral COP drift(amplitude of 3 to 4 cm),which is a biomechanical manifestation of compensatory eversion of the unaffected foot.Patients with bilateral pes cavus exhibited a"bimod-al oscillation"trajectory(amplitude of 6 to 8 cm),suggesting possible vestibular-spinal regulatory dysfunction and the poorest postural stability.In the pes cavus group,there was a significant in-crease in pressure in the M2,M3,and MH regions,with peak pressures exceeding 190 kPa in pa-tients with bilateral pes cavus,which was highly correlated with plantar pain and could serve as a pain early warning threshold.Conclusion Unilateral and bilateral pes cavus exhibit significantly different neuromechanical compensation patterns.The classification based on the"lateral drift"and"bimodal oscillation"characteristics of the COP trajectory can serve as a stability early warning indi-cator for assessing fall risk.Decompression interventions targeting the key pressure regions of M2,M3,and MH(such as customized orthotic insoles)are the core strategies for alleviating pain and optimizing dynamic gait stability.

OBJECTIVE To establish a pharmaceutical management model for infusion safety in hospitalized inpatients and ensure the safety of drug use. METHODS Our hospital established the standardized management process for infusion scheme， formulated rules for compatibility contraindications in drug combinations. In the form of embedded hospital official account, the infusion scheme and medication guidance WeChat developed by pharmacists are pushed to the mobile phone of inpatients, providing electronic medication guidance services for patients, and forming a pharmaceutical management model for infusion safety of inpatients. RESULTS Our hospital provided a total of 45 291 inpatients with pharmaceutical services including the formulation of individualized infusion scheme and WeChat push infusion scheme and medication guidance as of December 2023. After the implementation of the management model， the intervention rate of pharmacists on the compatibility contraindications in drug combination of long-term medical orders for inpatients increased from 18.25% before implementation to 90.58% （P＜0.01）， and the satisfaction rate of inpatients increased from 87.50% to 94.50% （P＜0.05）. CONCLUSIONS The pharmaceutical management model for infusion safety of hospitalized patients integrates pharmaceutical services throughout the entire process of intravenous medication treatment. Pharmacists can participate in the management of infusion usage while providing qualified finished infusion products, achieving closed-loop management of pharmaceutical services, improving the hospital’s pharmaceutical service capabilities and patient satisfaction, and providing guarantees for the safety and effectiveness of patient medication.

Recent years have witnessed significant advancements in myopia control research through the application of diffuse optical technology(DOT)spectacle lenses. Myopia has emerged as a global public health challenge, affecting nearly half of the world's population, with childhood and adolescent myopia rates continuing to rise. DOT lenses represent an innovative myopia control intervention based on retinal contrast signal theory. These lenses incorporate micro-light scattering dots distributed across the lens surface to reduce retinal imaging contrast and modulate the influence of visual input on axial elongation, thereby slowing myopia progression. The core mechanism operates through refractive index differences between the lens substrate(1.53)and scattering dots(1.50), which generate optical scattering effects. This design maintains clear vision through a central 5 mm optical zone while effectively reducing contrast signal intensity in the peripheral retina. Large-scale randomized controlled trials, including the CYPRESS study, have demonstrated significant myopia control efficacy in children aged 6-10 years: 12-month follow-up data revealed a 74% reduction in myopia progression and a 50% reduction in axial elongation, with sustained safety and visual quality maintained over 4-year long-term follow-up. However, several aspects of DOT technology remain contentious and require further clinical validation, including its applicability across different age groups, optimal scattering dot density configurations, combined application effects with other myopia control methods, and long-term visual adaptation during extended use. This review systematically examines the theoretical foundations, design characteristics, clinical application progress, and future development directions of DOT technology, providing scientific evidence for clinical myopia prevention and control strategy formulation.

Objective To analyze the virus subtypes, molecular evolutional and molecular transmission network features of the first confirmed mpox case in Huai’an City, Jiangsu Province, so as to provide insights into understanding of the transmission and evolution dynamics of mpox virus and formulation of the mpox control strategy in the city. Methods Genomic DNA was extracted from swabs of the first confirmed mpox case’s skin lesions in Huai’an City, and the amplicon sequencing library was constructed using the hypersensitive mpox virus whole-genome capture kit. High-throughput sequencing was performed using the GridION X5 nanopore sequencer on the Nanopore sequencing platform, and single nucleotide polymorphism (SNP) analysis of mpox virus genome sequences was performed following sequence assembly. In addition, phylogenetic analysis, genetic genealogy and molecular traceability analysis were performed. Results The virus whole genome sequence of the first confirmed mpox case was successfully obtained by high-throughput sequencing, with a full length of 197 182 bp, and was named hMpxV/China/JS-HA01/2023, which belonged to the clade IIb (West African clade) lineage B.1.3. Compared with the mpox virus reference sequence MPXV-M5312_HM12_Rivers-001 (GenBank accession number: NC_063383), the genome sequence of the Huai’an virus isolate carried 86 SNPs, including 40 SNPs in the coding region as non-synonymous mutations and 73 SNPs as nucleotide mutations caused by APOBEC3 (APOBEC3). Of the 97 mpox virus gene sequences, 79 sequences were included in the molecular network (81.44%), and the threshold of the genetic distance accessed to the network was 0.35/10⁵. There were two large molecular transmission clusters and one scattered cluster in the molecular transmission network of the mpox virus, andthehMpxV/China/JS-HA01/2023 sequence was located in the large cluster. The 97 gene sequences formed 92 haplotypes, including three shared haplotypes Hap_4, Hap_6 and Hap_38, and an exclusive haplotype Hap_1 of hMpxV/China/JS-HA01/2023 generated from mutation of the exclusive haplotype Hap_43, while the exclusive haplotype Hap_43 was generated from mutation of the shared haplotype Hap_38. Conclusions The whole genome sequence of the mpox virus isolated from the first confirmed mpox case in Huai’an City has been successfully obtained, and the molecular evolutionary and molecular transmission network characteristics of the virus have been preliminarily understood.

Objective To observe the value of intratumoral and peritumoral ROI-based CT radiomics combined with clinical and imaging features for preoperatively predicting renal capsule invasion of clear cell renal cell carcinoma(ccRCC).Methods Totally 105 ccRCC patients were retrospectively collected and divided into invasion group(n=70)and non-invasion group(n=35)according to post operation pathology,also divided into training set(n=84,including 56 cases of invasion group and 28 of non-invasion group)and test set(n=21,including 14 cases of invasion group and 7 of non-invasion group)at a ratio of 8∶2.A clinical-imaging model was constructed based on clinical and CT features being significantly different between groups.Radiomics features related to renal capsule invasion were extracted and selected from intratumoral and of 1-6 mm peritumoral ROI on unenhanced phase(UP),corticomedullary phase(CMP)and nephrographic phase(NP)CT images,respectively.The optimal algorithm was selected among 6 machine learning algorisms based on CMP intratumoral ROI.With the optimal and selected features,single intratumoral or peritumoral models,combined intratumoral and peritumoral models within the same phase and combined pairwise models within the same range across different phases images were established.The best performing radiomics model was chosen and integrated with clinical and imaging features to form a combined model.Receiver operating characteristic(ROC)curves were drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of model for predicting renal capsule invasion of ccRCC,which were compared using DeLong's test.Results Hypertension,presence of clinical symptoms and high enhancement degree on CMP images were all independent predicting factors for renal capsule invasion of ccRCC,which were used to establish clinical-imaging model.Support vector machine(SVM)was the optimal algorithm.CMP peritumoral 3 mm model,CMP intratumoral model,NP peritumoral 4 mm model,NP intratumoral+peritumoral 4 mm model and CMP peritumoral 3 mm+NP peritumoral 3 mm model showed higher performance than the others,with AUC being not significantly different(all P＞0.05).CMP peritumoral 3 mm model was the optimal radiomics model,with the highest AUC(0.898)in test set.The combined model demonstrated superior AUC(0.979)in training set compared to both clinical-imaging model and the optimal radiomics model alone(both P＜0.05),while in test set(AUC 0.918)showed comparable performance with the latter two(both P＞0.05).Conclusion CT-based peritumoral radiomics models were equally effective for preoperatively predicting renal capsule invasion of ccRCC.Combining with clinical and imaging features might further enhance diagnostic performance.