Objective:To explore the effects of Qingre Qudu Decoction for fumigation combined with three-gap drainage on wound healing and serum inflammatory factors in patients with acute perianal abscess.Methods:Randomized controlled trial was conducted. A total of 117 patients with acute perianal abscess in the hospital were enrolled as the observation objects between August 2022 and May 2024. According to random number table method, they were divided into observation group (59 cases) and control group (58 cases). Both groups received three-gap drainage therapy. On basis of three-gap drainage, control group was given potassium permanganate, while observation group was given Qingre Qudu Decoction for fumigation. All patients were treated for 14 d. The growth of granulation tissue and wound secretions before and after treatment was evaluated. VAS scale was used to evaluate the degree of incision pain, and Wexner score was used to assess incontinence; ELISA was used to detect serum activator A (ACTA), immunoturbidimetry was used to detect serum CRP, and radioimmunoassay was used to detect serum IL-6 levels. The occurrence of complications and abscess recurrence during treatment was recorded, and clinical efficacy was evaluated.Results:The total effective rate of the observation group was 96.61% (57/59), while that of the control group was 82.76% (48/58), with statistical significance ( χ2=6.10, P=0.014). After treatment, scores of granulation tissue growth and wound secretions in observation group, and scores of VAS and Wexner incontinence in observation group were lower than those in the control group ( t=9.66, 5.00, 7.98, 3.65, P<0.001), and wound healing time was shorter than that in control group ( t=8.41, P<0.001). After treatment, levels of serum ACTA, CRP and IL-6 in observation group were lower than those in control group ( t=15.30, 2.08, 19.34, P<0.01 or P<0.05). The incidence of postoperative complications in the observation group was 6.78% (4/59), while in the control group it was 27.59% (16/58), with statistical significance ( χ2=8.93, P=0.003). Conclusion:Qingre Qudu Decoction for fumigation combined with three-gap drainage can relieve postoperative incision pain, inhibit inflammatory response, accelerate the recovery of wound and promote the recovery of anal function and improve clinical efficacy.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

In order to understand the potential target and related mechanism of action of Termina-lia Chebula treatment,network pharmacology and molecular docking methods were used in this experiment,and the challenge test of Salmonella from yak was performed.The active ingredients and potential targets of Terminalia Chebula were screened through HERB cluster identification database,TCMSP database and SwissTargetPrediction web page tool,and"gastroenteritis"was searched through OMIM and GeneCards database.Cytoscape and STRING databases were used to construct the Terminalia Chebula PPI network to screen out key targets,the intersection targets between Terminalia Chebula and enteritis were obtained through Venny platform,and gene ontol-ogy(GO)and Kyoto encyclopedia database of genes and genomics(KEGG)were enriched through DAVID database.The core target of screening was verified by molecular docking.After that,the gastrointestinal inflammation model of mice was established,the pathological changes of gastroin-testinal tract were observed,and the effect of Terminalia Chebula on the target protein was veri-fied by Western blot test.The results showed that:after analyzing and sorting out 8 main active in-gredients of Terminalia Chebula,118 targets of Terminalia Chebula were screened,11 161 targets of gastroenteritis and 100 targets of intersection were obtained;the core targets of PTGS2,CASP3,SLC3A2,Bax,Bcl-2 and TP53 of Terminalia Chebula and enteritis were obtained through PPI network.GO and KEGG enrichment analysis collected 337 items and 138 items,respectively,mainly related to chemokine pathway,PI3K-Akt signaling pathway,apoptosis related pathway,i-ron ion transport related pathway,NF-κB signaling pathway,etc.The results of molecular docking showed that chebulidic acid,the first active component of chebulidic acid,can bind to Bax,Bcl-2,PTGS2 and SLC3A2 through hydrogen bonding,hydrophobic action,π-π packing force and other intermolecular forces.The pathological tissue sections showed that Terminalia Chebula could sig-nificantly recover gastrointestinal tissue injury.Western blot test results showed that Terminalia Chebula can regulate the process of apoptosis and iron death through Bax/Bcl-2 and PTGS2/SLC3A2 pathways to achieve the effect of treating intestinal inflammatory damage.The results showed that Terminalia Chebula can regulate the occurrence and development of enteritis by regu-lating apoptosis and iron death through Bax/Bcl-2 and PTGS2/SLC3A2 pathways.Terminalia Chebula has the characteristics of multi-target and multi-pathway in the treatment of enteritis.

Wearable technology, widely applied in health and medical field, has become an important part of in-telligent healthcare and medicare. However, the data security and privacy protection of wearable health and medi-cal devices are greatly concerned and need to be solved. The characteristics of data security and privacy protection of wearable health and medical devices were thus analyzed and compared with those of traditional health and medi-cal devices. The related studies and laws on domestic and foreign wearable health and medical devices were summa-rized, and the advances, experiences and problems in domestic and foreign wearable health and medical devices were analyzed and compared in order to provide reference for establishing the mechanisms underlying their data se-curity and privacy protection.

The index system of comparative advantages was constructed for the pharmaceutical manufacturing in-dustry in different provinces , municipalities directly under the Central Government , and autonomous regions ac-cording to the integrated comparative advantage theory .The integrated comparative advantages in different provinces , municipalities directly under the Central Government , and autonomous regions were scored by principal component analysis and qualitatively analyzed by clustering analysis to reveal their spatial distribution , thus providing the deci-sion-making support for the policy makers, manufacturers, investors and staff of pharmaceutical manufacturing in-dustry.

Toxocara vitulorum has been rarely reported in yaks at high altitudes and remote areas of Sichuan Province of Tibetan Plateau of China. The current study was designed to investigate the prevalence, associated risk factors, and phylogenetic characteristics of T. vitulorum in yak calves on the Qinghai Tibetan plateau. Fecal samples were collected from 891 yak calves and were examined for the presence of T. vitulorum eggs by the McMaster technique. A multivariable logistic regression model was employed to explore variables potentially associated with exposure to T. vitulorum infection. T. vitulorum specimens were collected from the feces of yaks in Hongyuan of Sichuan Province, China. DNA was extracted from ascaris. After PCR amplification, the sequencing of ND1 gene was carried out and phylogenetic analyses was performed by MEGA 6.0 software. The results showed that 64 (20.1%; 95% CI 15.8–24.9%), 75 (17.2; 13.8–21.1), 29 (40.9; 29.3–53.2), and 5 (7.6; 2.5–16.8) yak calves were detected out to excrete T. vitulorum eggs in yak calve feces in Qinghai, Tibet, Sichuan, and Gansu, respectively. The present study revealed that high infection and mortality by T. vitulorum is wildly spread on the Qinghai Tibetan plateau, China by fecal examination. Geographical origin, ages, and fecal consistencies are the risk factors associated with T. vitulorum prevalence by logistic regression analysis. Molecular detection and phylogenetic analysis of ND1 gene of T. vitulorum indicated that T. vitulorum in the yak calves on the Qinghai Tibetan plateau are homologous to preveiously studies reported.
Altitude ; Animals ; Ascaris ; Cattle* ; China* ; DNA ; Eggs ; Feces ; Logistic Models ; Mortality ; Ovum ; Polymerase Chain Reaction ; Prevalence* ; Risk Factors* ; Tibet ; Toxocara*