ObjectiveTo construct a standardized diagnostic scale for Qi-Yin deficiency with blood stasis syndrome in diabetic macrovascular disease. MethodsLiterature related to Qi-Yin deficiency with blood stasis syndrome in diabetic macrovascular disease was retrieved from CNKI， VIP， and Wanfang databases. Diagnostic information from four diagnostic methods was extracted and standardized， with items having a frequency of ≥15 included in the item pool. A three-round Delphi expert consultation was conducted， screening items using support degree， mean score， rank sum， and coefficient of variation. Item weights were determined using analytic hierarchy process （AHP）， gactor analysis （FA）， and combined weighting method （CWM）. The optimal weighting method was selected by comparing the area under the receiver operating characteristic （ROC） curve （AUC）. The Youden index was calculated to establish the diagnostic cutoff value， which was proportionally scaled. ResultsA total of 102 studies were included. Thirty-five items were incorporated into the item pool. The authority coefficients for the three Delphi rounds were 0.82， 0.85， and 0.86， with coordination coefficients of 0.648， 0.538， and 0.506， respectively. Fifteen items were retained after screening. ROC curve analysis showed the AUC ranking as FA > CWM > AHP. The maximum Youden index was 0.814， corresponding to a diagnostic cutoff of 8.361 （scaled to 40 points）. The final scale adopted a structured diagnostic framework： the symptom dimension requires at least 2 items， and the tongue or pulse dimension requires at least 1 category. ConclusionThis study developed a standardized diagnostic scale for Qi-Yin deficiency with blood stasis syndrome in diabetic macrovascular disease. Core items were screened via the Delphi method， with factor analysis identified as the optimal weighting method through AUC comparison. The diagnostic threshold （40 points） and structured diagnostic framework provide a quantitatively clear， clinically practical tool.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Objective To observe the value of contrast-enhanced ultrasound(CEUS)for diagnosing malignant adnexal tumors.Methods Totally 112 patients with single adnexal masse were retrospectively enrolled and divided into benign adnexal tumor group(benign group,n=73)and malignant adnexal tumor group(malignant group,n=39).Clinical data,laboratory indicators,ovarian-adnexal ultrasound reporting and data system(O-RADS)classification based on conventional ultrasound(US),CEUS manifestations and CEUS classification of benign and malignant tumors were compared between groups.Multivariable logistic regression analysis of clinical and laboratory indicators being statistically different between groups,as well as US O-RADS classification and CEUS classification was performed to screen the independent predictors of malignant adnexal tumors,and combined models were constructed using forward stepwise regression method.The efficacy of each independent predictor and combined model for diagnosing malignant adnexal tumors was analyzed.Results Statistical differences of carbohydrate antigen 125(CA125),US O-RADS classification,enhancement time and level of CEUS,as well as CEUS classification were found between groups(all P＜0.05).CA125,US O-RADS classification and CEUS classification were all independent predictors of malignant adnexal tumors(all P＜0.05).Combined model Ⅰ,Ⅱ and Ⅲ were constructed based on CA125+CEUS classification,US O-RADS classification+CEUS classification and CA125+US O-RADS classification+CEUS classification,respectively.The area under the curve(AUC)of single CA125 level,US O-RADS classification,CEUS classification and combined model Ⅰ,Ⅱ and Ⅲ for diagnosing malignant adnexal tumor was 0.708,0.809,0.908,0.918,0.945 and 0.954,respectively.AUC of combined model Ⅲ was higher than that of combined model Ⅰ(Z=-2.142,P=0.032),while no significant difference of AUC was found between combined model Ⅱ and Ⅰ nor Ⅱ and Ⅲ(both P＞0.05).Conclusion CEUS could be used to effectively diagnose malignant adnexal tumor.Combining with CA125 level and US O-RADS classification could significantly improve its diagnostic efficacy.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Objective To observe the value of contrast-enhanced ultrasound(CEUS)for diagnosing malignant adnexal tumors.Methods Totally 112 patients with single adnexal masse were retrospectively enrolled and divided into benign adnexal tumor group(benign group,n=73)and malignant adnexal tumor group(malignant group,n=39).Clinical data,laboratory indicators,ovarian-adnexal ultrasound reporting and data system(O-RADS)classification based on conventional ultrasound(US),CEUS manifestations and CEUS classification of benign and malignant tumors were compared between groups.Multivariable logistic regression analysis of clinical and laboratory indicators being statistically different between groups,as well as US O-RADS classification and CEUS classification was performed to screen the independent predictors of malignant adnexal tumors,and combined models were constructed using forward stepwise regression method.The efficacy of each independent predictor and combined model for diagnosing malignant adnexal tumors was analyzed.Results Statistical differences of carbohydrate antigen 125(CA125),US O-RADS classification,enhancement time and level of CEUS,as well as CEUS classification were found between groups(all P＜0.05).CA125,US O-RADS classification and CEUS classification were all independent predictors of malignant adnexal tumors(all P＜0.05).Combined model Ⅰ,Ⅱ and Ⅲ were constructed based on CA125+CEUS classification,US O-RADS classification+CEUS classification and CA125+US O-RADS classification+CEUS classification,respectively.The area under the curve(AUC)of single CA125 level,US O-RADS classification,CEUS classification and combined model Ⅰ,Ⅱ and Ⅲ for diagnosing malignant adnexal tumor was 0.708,0.809,0.908,0.918,0.945 and 0.954,respectively.AUC of combined model Ⅲ was higher than that of combined model Ⅰ(Z=-2.142,P=0.032),while no significant difference of AUC was found between combined model Ⅱ and Ⅰ nor Ⅱ and Ⅲ(both P＞0.05).Conclusion CEUS could be used to effectively diagnose malignant adnexal tumor.Combining with CA125 level and US O-RADS classification could significantly improve its diagnostic efficacy.

Objective:To explore the role of tripartite motif-containing protein 21(TRIM21)in chronic apical periodontitis(CAP)and its potential mechanism.Methods:Human CAP tissue and normal periodontal tissue were collected.The expression of inflamma-tory factors(IL-1 β,IL-6,TNF-a,TGF-β1),osteoclast related genes(TRAP,RANKL,CTSK),macrophage polarization related genes(CD86,iNOS,CD206,Arg1)and TRIM21 were detected by RT-qPCR.TRIM21 protein was detected by immunohistochemical staining,and the osteoclasts was detected by tartrate resistant acid phosphatase(TRAP)staining.The inflammation cell model was es-tablished by stimulating Raw264.7 cells with lipoteichoic acid(LTA)or lipopolysaccharide(LPS),and the expression of the above factors was detected.The bone marrow-derived macrophages(BMDMs)extracted from wild-type and TRIM21-/-mice stimulated by LPS were used to verify the expression of the above factors by RT-qPCR,the osteoclasts were detected by TRAP staining,and the po-larization of macrophages was detected by immunofluorescence staining.Results:In CAP tissue the expression of inflammatory factors,osteoclast related genes,CD86,iNOS and TRIM21 increased,while CD206 and Arg1 decreased,and osteoclasts were more than that in normal tissue.The stimulation of LTA/LPS promoted the proliferation of Raw264.7 cells,and the expression of these factors in cells was consistent with that in tissues.After LPS stimulation,BMDMs of TRIM21-/-mice had lighter inflammation,lower expression of os-teoclast specific genes,fewer osteoclasts and lower M1 polarization than those of wild type mice.Conclusion:TRIM21 might promote the progress of CAP by promoting M1 polarization of macrophages.

Objective To investigate the clinical value of extracellular volume(ECV)based on CT delayed phase in combination with pathologic indicators in predicting early recurrence of gastric mesenchymal tumors after surgery.Methods A retrospective case-control trial was conducted on the imaging,clinical and pathological data of 110 patients with gastric mesenchymal tumors who were surgically resected at the First Affiliated Hospital of Army Medical University from January 2011 to August 2022.They were 60 males and 50 females,at a mean age of 58±10 years.All of them received preoperative multiphase dynamic CT enhancement examination of the abdomen,and ECV value was calculated with the formula:ECV=(1-hematocrit)×(△HU tumor/△HU aorta).According to the postoperative recurrence within 24 months after surgery,they were divided into early recurrence group and non early recurrence group.Statistical indexes:① Consistency analysis.② The factors affecting early recurrence after resection of gastric mesenchymal stromal tumors were analyzed and a prediction model was conducted.Delong test was used to assess the predictive value of the model.Then a nomogram was plotted based on the combines model,and calibration curves were drawn to assess the efficacy of the column charts,and decision curve analysis(DCA)was adopted to assess the value of the model for clinical application.Results ① Consistency analysis.After 2 radiologists outlined the region of interest and obtained ECV value according to the above formula,The intraclass correlation coefficient(ICC)was 0.806.② For the 110 subjected patients,21 cases of them had early recurrence,and 89 one did not.Multivariate analysis showed that ECV value,risk degree,and tumor length were independent influencing factors for predicting early recurrence.Receiver operating characteristic(ROC)curve analysis indicated that the area under the curve(AUC)value of ECV,hazard degree,and tumor length diameter in predicting early recurrence was 0.838(95％CI 0.758～0.918),0.774(95％CI 0.656～0.892),and 0.700(95％CI 0.589～0.810),respectively,and the value of their combined model was 0.899(95％CI 0.811～0.987),which was higher than that of each independent model.The sensitivity and specificity of the combined model was 85.71％and 86.52％,respectively,and the optimal cutoff value was 0.19.Delong test revealed that there was statistical difference between the combined model and the clinical model established by the hazard level(Z=6.548,P＜0.001,95％CI 0.140～0.259).Calibration curve analysis suggested that the combined model had a better fit,and DCA displayed that the combined model had a better net benefit.Conclusion The model established by ECV combined with pathological indicators has good predictive performance and can be used as a more effective predictor of early recurrence of gastric mesenchymal tumors after surgery.

OBJECTIVE To establish a method for the content determination of 11 components such as protodioscin in Guge fengtong tablets， and to evaluate the comprehensive quality of Guge fengtong tablets by combining with chemometric analysis and entropy weight-technique for order preference by similarity to ideal solution （EW-TOPSIS） method. METHODS HPLC method was adopted. The determination was performed on Agilent Eclipse Plus C18 column with a mobile phase consisted of acetonitrile- 0.2% phosphoric acid solution at the flow rate of 1.0 mL/min by gradient elution. The column temperature was set at 30 ℃ . The detection wavelengths were set at 203 nm （0-28 min， protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin） and 280 nm （28-60 min， catechin， epicatechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol， 10-gingerol）； the sample size was 10 μL. Using epicatechin as the internal reference， quantitative analysis of multi-components by single marker （QAMS） method was used to determine the contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol and 10-gingerol， which were compared with the results of the external standard method. SPSS 26.0 software and SIMCA 14.1 software were used for principal component analysis and orthogonal partial least squares-discriminant analysis， with variable importance in projection （VIP） value greater than 1 as the standard， to screen for differential markers that affect the quality； the EW-TOPSIS method was adopted to evaluate the quality of 15 batches of samples comprehensively.RESULTS The contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medi-carpin， 6-gingerol， 8-gingerol and 10-gingerol determined by HPLC combined with QAMS were 6.330-10.863， 1.150-2.274， 0.431- 0.740， 2.818-4.823， 0.826-1.510， 0.043-0.094， 0.079-0.231， 0.479-1.020， 0.146-0.288， 0.118-0.318 mg/g， respectively； there were no statistical significances， compared with the external standard method （P＞0.05）. A total of 15 batches of samples were clustered into 3 groups， with S1-S6， S7-S10， and S11-S15 clustered into one group， respectively. The VIP values of protodioscin， epicatechin， dioscin and 6-gingerol were greater than 1. Euclidean closeness values of the optimal solution （C）i for 15 batches of samples were 0.163 5 to 0.703 7， and Ci values of S11-S15 were all higher than 0.6. CONCLUSIONS The established QAMS method is accurate and simple， and can be used for comprehensive quality evaluation of Guge fengtong tablets， by combining with chemometric analysis and EW-TOPSIS method. Protodioscin， epicatechin， dioscin and 6-gingerol are the differential markers that affect the quality of Guge fengtong tablets. Samples S11-S15 have better quality.

Objective To compare artificial intelligence-assisted diagnostic system and conventional manual CT image interpretation for detection of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules, and to provide a reference for the application of artificial intelligence in clinical screening for lung cancer. Methods Patients who underwent chest CT scans for pulmonary nodules from March 2019 to December 2023 were enrolled. The CT images were subjected to artificial intelligence-based and conventional manual CT image interpretation. The pathological examination results of pulmonary lesions served as a gold standard for comparison of artificial intelligence-based and conventional manual CT image interpretation in detection rate of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules. Results A total of 327 positive pulmonary nodules were identified in 207 patients. The detection rate of positive pulmonary nodules was significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation (95.72% vs. 86.85%; χ²=16.16, P < 0.01). Moreover, artificial intelligence-based CT image interpretation showed significantly higher detection rates for solid (χ²=7.71, P < 0.01) and ground-glass pulmonary nodules (χ²=5.80, P < 0.05) than conventional manual CT image interpretation. The detection rates for pulmonary nodules with < 1 cm (χ²=4.97, P < 0.05), 1 to < 2 cm (χ²=7.04, P < 0.01), and 2 to < 3 cm (χ²=4.91, P < 0.05) diameters were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for differential diagnosis of benign and malignant pulmonary nodules were 98.08%, 91.53%, 95.33%, 96.43%, and 95.71% with artificial intelligence-based CT image interpretation and 91.34%, 77.97%, 87.96%, 32.62%, and 86.50% with conventional CT image interpretation. The sensitivity (χ²=4.70, P < 0.05), specificity (χ²=4.20, P < 0.05), negative predictive value (χ²=65.28, P < 0.01), and accuracy (χ²=8.52, P < 0.01) were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. However, there was no significant difference in the positive predictive value (χ²=3.80, P > 0.05). Conclusion Compared with conventional manual CT image interpretation, artificial intelligence-assisted diagnostic system for CT image interpretation can significantly increase the detection rate of positive pulmonary nodules and improve the efficiency of differential diagnosis of benign and malignant pulmonary nodules, so it deserves widespread applications in physical examination and early screening for lung cancer.

ObjectiveTo explore the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements of macroangiopathy in patients with type 2 diabetes mellitus （T2DM） and the key elements of occurrence， development and progression of disease. MethodsA multicenter cross-sectional study was conducted to enroll 445 T2DM patients from five hospitals， and according to the presence or absence of macroangiopathy， the patients were divided into a T2DM group （120 cases） and a diabetic macroangiopathy （DM） group （325 cases）. Patients in DM group were divided into grade Ⅰ， Ⅱ， Ⅲ and Ⅳ according to the peripheral vascular color Doppler ultrasound results and the vascular anomalies classification standard. The general data including gender， age， duration of T2DM and body mass index （BMI） were collected， and the data of four examinations were obtained for syndrome differentiation. According to the diagnostic criteria of TCM syndrome elements， the patients can be divided into 9 patterns including qi deficiency， blood deficiency， yin deficiency， yang deficiency， qi stagnation， blood stasis， excess heat， and excess cold. The general data and distribution of TCM syndrome elements were compared between the two groups. The distribution of TCM syndrome elements in different vascular anomalies grades in the DM group was analyzed. Logistic regression analysis was used to explore the influence of various TCM syndrome elements on the occurrence of macroangiopathy in T2DM. ResultsThere was no significant difference in gender and BMI between groups （P＞0.05）. The age and duration of diabetes in the DM group were older and longer than those in the T2DM group （P＜0.01）. With the increase of age and prolonged course of disease， the severity of diabetic macroangiopathy increases gradually （P＜0.05 or P＜0.01）. There was no significant difference in BMI and course of disease among the different TCM syndrome elements （P＞0.05）. The average age of patients with blood stasis syndrome was the oldest （P＜0.05）. There was significant difference in gender distribution between the excess heat syndrome and yin deficiency syndrome （P＜0.05）. A total of 240 TCM syndrome elements were extracted from the T2DM group， while 731 TCM syndrome elements extracted from the DM group. The top two high-frequency syndrome elements in the two groups were qi deficiency and yin deficiency， with a frequency of larger than 50%. The distribution of phlegm-damp syndrome and blood-stasis syndrome were significantly higher in the DM group than in the T2DM group （P＜0.01）. There were significant differences in the distribution of qi deficiency syndrome， yin deficiency syndrome， phlegm-damp syndrome， blood stasis syndrome， and excess heat syndrome among different grades of vascular anomalies （P＜0.01）； qi deficiency and yin deficiency were both high-frequency TCM syndrome elements in patients at grades 0 to Ⅲ； phlegm-damp syndrome increased in frequency with the progression of the disease from grades 0 to Ⅳ， and the frequency of blood stasis syndrome showed an overall upward trend. The frequency of phlegm-dampness syndrome increased from grades 0 to Ⅳ with the progression of the disease， and the frequency of blood stasis syndrome showed an overall upward trend. Logistic regression analysis showed that phlegm-damp syndrome and blood stasis syndrome were important TCM syndrome elements related to the vascular anomalies degree of macrovascular disease in T2DM （P＜0.05 or P＜0.01）. ConclusionQi deficiency and yin deficiency are the basic TCM syndrome elements throughout the whole process of T2DM and diabetic macrovascular disease. Phlegm-damp and blood stasis are related to the degree of vascular anomalies in diabetic macrovascular disease and are the key TCM syndrome elements in the progression of macroangiopathy in T2DM.