Objective To investigate the epidemiological characteristics of malaria and provide a basis for developing improved prevention and control measures. Methods Data were obtained from the Chinese Disease Prevention and Control Information System. Malaria surveillance data for Nanning City from January 1,2023, to December 31,2024, were exported from the Infectious Disease Reporting Information Management Subsystem. The characteristics of the two groups of malaria cases were compared. Results A total of 103 imported malaria cases were reported in Nanning City in 2024, representing a 38.32% decrease compared with the same period of the previous year. No statistically significant difference were observed between cases reported in 2023 and 2024 in terms of average age, gender ratio, proportion of parasite species, and monthly reporting distribution;however, statistically significant differences were found in the proportion of reporting areas and current residence areas(χ2= 13.572 and 10.355, respectively; P = 0.001 and 0.035, respectively). The proportion of cases reported in Shanglin County and the proportion of cases residing in Shanglin County were both lower than those during the same period of the previous year. Conclusions The high aggregation of imported malaria cases in Nanning City has decreased. Medical institutions in areas other than Shanglin County should strengthen their vigilance against malaria.

AIM To investigate the effects of Xuesaitong Capsules(Panax notoginseng saponins)on ischemia/reperfusion injury in a mouse model of skin frostbite.METHODS The mice were randomly divided into the control group,the model group,the dexamethasone group(1 mg/kg),and the low-dose,medium-dose,and high-dose Xuesaitong Capsules groups(0.036,0.072,and 0.144 g/kg),with eight mice in each group.A frostbite model was established using a dry ice-cooled ceramic(ferrite)magnet.On the 2nd day after modeling,each group started its corresponding dosing by gavage for 14 consecutive days.The wound healing,histopathological changes,and serum levels of high-sensitivity C-reactive protein(hs-CRP),thromboxane B2(TXB2),6-keto-prostaglandin F1α(6-K-PGF1α),nitric oxide(NO)and endothelin(ET)were assessed using ELISA.The superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels in skin tissues were measured biochemically.The protein expressions of tumor necrosis factor(TNF)-α,interleukin(IL)-1β,IL-6,Toll-like receptor(TLR)4 and phosphorylated nuclear factor-KB p65(p-NF-κB p65)in skin tissues were determined by Western blot.Additionally,LncRNA H19 mRNA expression in skin tissues was evaluated using RT-qPCR.RESULTS After the final administration,compared with the control group,the model group exhibited partial scab detachment,wound healing,and larger wound areas;hyperkeratosis with incomplete keratinization,detachment of the dermis and subcutaneous tissue,partial loss of appendages,subcutaneous edema,and dilated,congested,and hemorrhagic stromal vessels with extensive lymphocyte infiltration revealed by the histopathological examination;elevated serum levels of hs-CRP,TXB2,and ET(P＜0.05,P＜0.01);decreased 6-K-PGF1α and NO levels(P＜0.05,P＜0.01);reduced SOD activity in skin tissues(P＜0.01);increased MDA levels(P＜0.01);and upregulated protein expressions of TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65,as well as LncRNA H19 mRNA expression(P＜0.05,P＜0.01).Compared with the model group,the group intervened with high-dose Xuesaitong Capsules displayed reduced wound areas(P＜0.01);decreased serum levels of hs-CRP,TXB2 and ET(P＜0.05,P＜0.01);increased 6-K-PGF1α and NO levels(P＜0.05,P＜0.01);enhanced SOD activity(P＜0.05,P＜0.01);reduced MDA level in skin tissues(P＜0.05,P＜0.01);and down-regulated TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65 protein expressions and suppressed LncRNA H19 mRNA expression in skin tissues as well(P＜0.05,P＜0.01).CONCLUSION Xuesaitong Capsules alleviate ischemia/reperfusion injury in frostbite-injured mice by exerting anti-inflammatory and anti oxidative stress effects and restoring vascular endothelial function mediated by the downregulation of LncRNA H19 expression and inhibition of the TLR4/NF-κB signaling pathway.

Objective:To explore the diagnostic value of shear wave elastography(SWE)for clinically significant prostate cancer(csPCa).Methods:We retrospectively analyzed the clinical data of 359 cases with suspected prostate cancer(PCa)in Baoji Central Hospital from June 2017 to July 2023.All the patients underwent the following examinations in the order of serum prostate-spe-cific antigen(PSA)testing,transrectal ultrasonography(TRUS),measurement of the stiffness of the entire prostate gland by SWE,and TRUS-guided prostate puncture biopsy.The stiffness of the entire prostate gland was defined as the average of Young's modulus at both sides of the base,middle,and apex of the prostate,including the maximum Young's modulus(Emax),mean Young's modulus(Emean),and minimum Young's modulus(Emin).We analyzed the correlation of the parameters of the stiffness of the entire prostate gland with the pathological results,focusing on their diagnostic performance for csPCa.Results:Of the 359 cases,189 were diag-nosed by pathological puncture biopsy as BPH,26 as non-csPCa,and 144 as csPCa.The PSA level,Emax,Emean and Emin were significantly higher in the csPCa than those in the BPH and non-csPCa groups(all P＜0.01),but showed no statistically significant difference between the BPH and non-csPCa groups(all P＞0.05).The area under the receiver operating characteristic curve(AUC),optimal cut-off value,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV)and accura-cy of Emax in the diagnosis of csPCa were 0.852,143.92 kPa,72.22％,84.65％,75.91％,81.98％and 79.67％;those of Emean were 0.868,82.42 kPa,67.36％,91.16％,83.62％,80.66％and 81.62％;and those of Emin were 0.682,32.73 kPa,47.22％,89.30％,73.91％,71.54％and 72.14％,respectively.In the non-csPCa group,Emax,Emean and Emin were found be-low the optimal cut-off value in 73.08％(19/26),92.31％(24/26)and 88.46％(23/26),respectively.Conclusion:The stiff-ness of the entire prostate gland measured by SWE contributes to the diagnosis of csPCa,reduces unnecessary detection of non-csPCa,and provides some reference for its active surveillance.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

AIM To investigate the effects of Xuesaitong Capsules(Panax notoginseng saponins)on ischemia/reperfusion injury in a mouse model of skin frostbite.METHODS The mice were randomly divided into the control group,the model group,the dexamethasone group(1 mg/kg),and the low-dose,medium-dose,and high-dose Xuesaitong Capsules groups(0.036,0.072,and 0.144 g/kg),with eight mice in each group.A frostbite model was established using a dry ice-cooled ceramic(ferrite)magnet.On the 2nd day after modeling,each group started its corresponding dosing by gavage for 14 consecutive days.The wound healing,histopathological changes,and serum levels of high-sensitivity C-reactive protein(hs-CRP),thromboxane B2(TXB2),6-keto-prostaglandin F1α(6-K-PGF1α),nitric oxide(NO)and endothelin(ET)were assessed using ELISA.The superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels in skin tissues were measured biochemically.The protein expressions of tumor necrosis factor(TNF)-α,interleukin(IL)-1β,IL-6,Toll-like receptor(TLR)4 and phosphorylated nuclear factor-KB p65(p-NF-κB p65)in skin tissues were determined by Western blot.Additionally,LncRNA H19 mRNA expression in skin tissues was evaluated using RT-qPCR.RESULTS After the final administration,compared with the control group,the model group exhibited partial scab detachment,wound healing,and larger wound areas;hyperkeratosis with incomplete keratinization,detachment of the dermis and subcutaneous tissue,partial loss of appendages,subcutaneous edema,and dilated,congested,and hemorrhagic stromal vessels with extensive lymphocyte infiltration revealed by the histopathological examination;elevated serum levels of hs-CRP,TXB2,and ET(P＜0.05,P＜0.01);decreased 6-K-PGF1α and NO levels(P＜0.05,P＜0.01);reduced SOD activity in skin tissues(P＜0.01);increased MDA levels(P＜0.01);and upregulated protein expressions of TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65,as well as LncRNA H19 mRNA expression(P＜0.05,P＜0.01).Compared with the model group,the group intervened with high-dose Xuesaitong Capsules displayed reduced wound areas(P＜0.01);decreased serum levels of hs-CRP,TXB2 and ET(P＜0.05,P＜0.01);increased 6-K-PGF1α and NO levels(P＜0.05,P＜0.01);enhanced SOD activity(P＜0.05,P＜0.01);reduced MDA level in skin tissues(P＜0.05,P＜0.01);and down-regulated TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65 protein expressions and suppressed LncRNA H19 mRNA expression in skin tissues as well(P＜0.05,P＜0.01).CONCLUSION Xuesaitong Capsules alleviate ischemia/reperfusion injury in frostbite-injured mice by exerting anti-inflammatory and anti oxidative stress effects and restoring vascular endothelial function mediated by the downregulation of LncRNA H19 expression and inhibition of the TLR4/NF-κB signaling pathway.

Objective To evaluate the diagnostic value of transrectal contrast-enhanced ultrasound (CEUS) for rectal cancer with intestinal stenosis caused by tumors. Methods Forty-nine patients with rectal cancer underwent transrectal CEUS and magnetic resonance imaging (MRI) before surgery.Intraoperative tumor localization and postoperative pathological results were taken as the gold standard for diagnosis.The differences in T stage,localization,and tumor length of rectal cancer were compared between the two methods. Results The total accuracy rates of transrectal CEUS and MRI in diagnosing T stage were 75.5% (36/49) and 67.3% (33/49),which had no significant difference (χ²=0.8,P=0.371).The total accuracy rates of transrectal CEUS and MRI in judging tumor localization were 79.5% (39/49) and 77.5% (38/49),which had no significant difference (χ²=0.061,P=0.806).The measurement results of tumor length in pathological examination had no significant difference from the transrectal CEUS results (t=1.42,P=0.162) but a significant difference from the MRI results (t=3.38,P=0.001).Furthermore,transrectal CEUS detected 8 (16.3%) cases of colonic polyps among the 49 patients,while MRI did not detect colon lesions. Conclusions Transrectal CEUS has good consistency with MRI in T staging and localization judgement of rectal cancer with intestinal stenosis,and this method can more accurately evaluate the tumor length and simultaneously evaluate whether there is a lesion in the entire colon at the proximal end of stenosis.It can be used as a supplementary examination before rectal cancer treatment in clinical practice.
Humans ; Rectal Neoplasms/complications* ; Male ; Middle Aged ; Female ; Aged ; Contrast Media ; Ultrasonography ; Adult ; Magnetic Resonance Imaging ; Constriction, Pathologic/diagnostic imaging* ; Aged, 80 and over ; Intestinal Obstruction/etiology*

Objective To explore the pharmacokinetic characteristics of sufentanil in individuals with normal body mass index(BMI),overweight BMI,and different CYP3A4/5 enzyme genotypes.Methods The patients receiving laparoscopic surgery under general anesthesia in the First Affiliated Hospital of Army Medical University from November 2020 to September 2021 were prospectively recruited in this study.Before the operation,the oral swabs were collected from all the patients for genotyping using the human CYP3A4/5 gene kit.Based on the potential impact of combination of their polymorphisms on sufentanil metabolism and the proportion of different genotype combinations of CYP3A4/5 enzymes,the patients were divided into groups I(3A4 homozygous mutation or 3A4 heterozygous mutation+3A5 homozygous mutation),II(3A4 heterozygous mutation+3A5 heterozygous mutation),and III(3A4 wild type or 3A4 heterozygous mutation+3A5 wild type).According to their BMI,they were also assigned into a normal body weight group(18.5～24.0 kg/m2)and an overweight group(24～<28 kg/m2),and the differences in drug metabolism parameters were statistically analyze between the 2 groups.After routine general anesthesia induction(sufentanil 0.5 μg/kg),venous blood samples were collected to detect the changes in its concentration using high performance liquid chromatography-mass spectrometry(HPLC-MS).The pharmacokinetic data of sufentanil were calculated between the normal BMI group and overweight group in all participants and between the 2 body weight groups among those with different genotype combinations.Results Among the 90 participants completing the blood drug concentration test,8 patients had their blood samples contaminated(including 1 case with an anesthesia duration of<2 h),and 3 were excluded due to low weight or overweight.Eventually,79 participants were included in the pharmacokinetic analysis on the normal body weight group and the overweight group.Compared with the normal body weight group,the central compartment volume of distribution in the overweight group was significantly reduced(P<0.05),while no obvious differences were observed between the 2 groups in terms of peripheral compartment volume of distribution,total clearance rate,peripheral compartment clearance rate,distribution half-life,clearance half-life,and area under the blood concentration-time curve.In group Ⅰ(n=26),the overweight patients(n=13)had significantly reduced central compartment volume of distribution,peripheral compartment volume of distribution,and peripheral compartment clearance rate when compared with the normal body weight patients(n=13)(P<0.05),while no differences were observed in other pharmacokinetic parameters.In groups Ⅱ(n=25)and Ⅲ(n=28),the overweight patients and normal body weight patients had no statistical differences in all pharmacokinetic parameters.Conclusion Among the patients with the same genotype combination of CYP3A4/5 mutations,there was no difference in the metabolism of sufentanil between the overweight and normal weight patients.Additionally,in the population of 3A4 homozygous mutation or 3A4 heterozygous mutation+3A5 homozygous mutation,the overweight patients have smaller peripheral distribution range of sufentanil,and weakened metabolic process.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.