Objective To investigate the prevalence of Clonorchis sinensis human infections in Congjiang County, Guizhou Province in 2023, so as to provide insights into formulation of the clonorchiasis control strategy. Methods Congjiang County was divided into eastern, western, southern, northern and central areas according to the geographical locations, and one township was randomly sampled from each area. Then, each administrative village was randomly sampled from each township, and 200 permanent residents over 3 years of age were randomly sampled from each village. Participants’ stool samples were collected for detection of C. sinensis eggs with the Kato-Katz technique (two slides for each stool sample), and the prevalence and intensity of C. sinensis infections were calculated. In addition, the risk factors of clonorchiasis were identified among participants using a questionnaire survey. Results A total of 1 001 residents were included, and the prevalence of C. sinensis infections was 16.28% (163/1 001), with mild infections as the predominant category of infection intensity [73.01% (119/163)]. The prevalence rates of C. sinensis human infections were 30.50% (61/200), 1.50% (3/200), 30.35% (61/201), 12.50% (25/200), and 6.50% (13/200) at five survey sites, respectively (χ² = 107.03, P < 0.05), and there was a significant difference in the prevalence of C. sinensis infections between men [22.44% (112/499)] and women [10.16% (51/502)] (χ² = 27.71, P < 0.05). The prevalence of C. sinensis infections was relatively high among participants at ages of 60 to 70 years [26.14% (23/88)], public servants [46.15% (6/13)], and Han ethnic participants [33.33% (5/15)]. The prevalence of C. sinensis infections was higher among participants with a habit of consuming raw or un-dercooked freshwater fish and shrimp [22.06% (90/408)] than among those without the habit [12.31% (73/593)] (χ² = 16.85, P < 0.05), and there was no significant difference in the prevalence of C. sinensis infections between participants with [13.99% (41/293)] and without separation of raw and cooked chopping boards [17.23% (122/708)] (χ² = 1.59, P > 0.05). In addition, the prevalence of C. sinensis infections was 8.70% (2/23) and 16.46% (161/978) among participants with and without fever complicated by discomfort in the right upper abdomen during the past half year (χ² = 0.99, P > 0.05). Conclusions The prevalence of C. sinensis human infections was high in Congjiang County, Guizhou Province in 2023, and infections predominantly occurred among young and middle-aged men. Intensified health education among high-risk residents and alteration of dietary habits of consuming raw or undercooked freshwater fish or shrimp are recommended to reduce the prevalence of C. sinensis human infections.

The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.

Objective To investigate the prevalence of human soil-transmitted nematode infections in Congjiang County, Guizhou Province in 2023, so as to provide insights into soil-transmitted nematodiasis prevention and control in the county. Methods Congjiang County was divided into 5 areas according to geographical locations, and one township was randomly sampled from each area, followed by one administrative village randomly sampled from each township as the survey site. Two hundred permanent residents without deworming during the past three months were randomly sampled from each survey site using the random cluster sampling method. Participants’ fecal samples were collected, soil-transmitted nematode eggs were detected using the KatoKatz technique and the prevalence of human soil-transmitted nematode infections was compared among participants. Mild, moderate and severe soil-transmitted nematode infections were classified according to eggs per gram (EPG), and the proportions of mild, moderate and severe infections were estimated. In addition, participants’ family status and household sanitary toilets construction were investigated using questionnaires. Results A total of 1 001 participants were included at 5 survey sites in Congjiang County, and the overall prevalence of soil-transmitted nematode infections was 19.08% (191/1 001). The prevalence rates of Ascaris lumbricoides and hookworm infections were 2.30% (23/1 001) and 1.90% (19/1 001), with all egg-positives identified as mild infections, and the prevalence of Enterobius vermicularis infections was 0.10% (1/1 001). The prevalence of Trichuris trichiura infections was 15.78% (158/1 001) among participants, and there was a significant difference in the prevalence among survey villages (χ² = 123.345, P < 0.001), with the highest prevalence detected in Liujia Village (39.00%), followed by in Longjiang Village (18.00%). There was an age-specific prevalence rate of T. trichiura infections among participants (χ² = 166.050, P < 0.001), and the highest prevalence was detected among participants at ages of 10 to 19 years (48.19%), followed by at ages of over 70 years (14.53%) and 50 to 59 years (13.04%). There was an occupation-specific prevalence rate of T. trichiura infections among participants (χ² = 74.134, P < 0.001), and the highest prevalence was detected among students (32.32%), followed by among workers/migrant workers (10.34%) and farmers (10.12%). There was an educational level-specific prevalence rate of T. trichiura infections among participants (χ² = 28.761, P < 0.001), and the highest prevalence was detected among participants with an educational level of primary school (21.60%), followed by among illiterate participants (12.03%). There was an ethnicity-specific prevalence rate of T. trichiura infections among participants (χ² = 42.193, P < 0.001). The proportions of mild, moderate and severe T. trichiura infections were 76.58% (121/158), 14.56% (23/158) and 3.16% (5/158), and all severe infections were identified among primary school students. T. trichiura infections were detected in 123 families, and there were 27 families (21.95%) in which two and more family members were identified with T. trichiura infections. A total of 1 001 valid questionnaires were recovered, and the prevalence rates of T. trichiura infections were 14.69% (139/964) and 34.55% (19/55) in families with and without sanitary toilets (χ² = 15.410, P < 0.001). Conclusions The prevalence of soil-transmitted nematode infections was relatively high in Congjiang County, Guizhou Province in 2023, and the T. trichiura infections was notably serious. Intensified soil-transmitted nematodiasis control measures are recommended targeting primary school students, middle-aged and elderly farmers and migrant workers.

Objective To observe hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy(mTLE)patients with different outcomes after surgery.Methods A total of 69 unilateral mTLE patients who underwent resection of epileptogenic lesion on the affected side were retrospectively enrolled.Based on Engel classification 1 year after surgery,the patients were divided into seizure free(SF)group and non-seizure free(NSF)group.Functional connectivity gradient analysis was employed to extract principal gradient explaining the highest variance on preoperative resting-state functional MRI(rs-fMRI),then the whole-brain gradient characteristics and principal gradient values within specific functional networks were compared between groups.Results Principal gradient connected default mode network(DMN)with sensorimotor network(SMN)along a continuous axis.Compared to SF group,NSF group showed a contracted gradient range at both ends(DMN and SMN)of the functional network and weakened hierarchical differentiation,and principal gradient value of DMN was higher,while that of SMN was lower than those in SF group(both P＜0.05).Conclusion Hierarchical differences in brain functional networks in unilateral mTLE patients with different outcomes after surgery mainly present as enhanced DMN and weakened SMN in NSF ones,and the latter two might serve as important neuroimaging markers for evaluating postoperative seizure recurrence.

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

Objective To observe hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy(mTLE)patients with different outcomes after surgery.Methods A total of 69 unilateral mTLE patients who underwent resection of epileptogenic lesion on the affected side were retrospectively enrolled.Based on Engel classification 1 year after surgery,the patients were divided into seizure free(SF)group and non-seizure free(NSF)group.Functional connectivity gradient analysis was employed to extract principal gradient explaining the highest variance on preoperative resting-state functional MRI(rs-fMRI),then the whole-brain gradient characteristics and principal gradient values within specific functional networks were compared between groups.Results Principal gradient connected default mode network(DMN)with sensorimotor network(SMN)along a continuous axis.Compared to SF group,NSF group showed a contracted gradient range at both ends(DMN and SMN)of the functional network and weakened hierarchical differentiation,and principal gradient value of DMN was higher,while that of SMN was lower than those in SF group(both P＜0.05).Conclusion Hierarchical differences in brain functional networks in unilateral mTLE patients with different outcomes after surgery mainly present as enhanced DMN and weakened SMN in NSF ones,and the latter two might serve as important neuroimaging markers for evaluating postoperative seizure recurrence.

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.

Objective To investigate the MRI characteristics of subventricular zone(SVZ)-associated isocitrate dehydrogenase(IDH)wild-type glioblastoma(GBM)and their correlations with Ki-67 expression and O6-methylguanine-DNA methyltransferase(MGMT)promoter methylation status.Methods A retrospective analysis was conducted on data of 78 patients with IDH wild-type GBM who underwent surgery and received pathological confirmation.Preoperative MRI contrast-enhanced T1 WI sequences were used to assess SVZ involvement,and postoperative molecular testing of tumor markers,including Ki-67 expression and MGMT methylation status,was utilized to categorize the patients accordingly.Results The SVZ involved(+)group(P＜0.001)and the MGMT(+)group(P=0.036)exhibited significantly larger tumor volumes.There were no significant differences between the groups in terms of gender,age,left/right hemispheric lateralization,or specific brain lobe distribution.There was no significant association between Ki-67 expression levels,MGMT methylation status,and SVZ involvement,respectively.Conclusion The SVZ(+)group and the MGMT(+)group demonstrates a wider range of tumor invasion.

Purpose To explore the pathological features of angioimmunoblastic T-cell lymphoma(AITL)with bone marrow involvement and to improve awareness of bone marrow infiltration in AITL.Methods The tissue morphology of 32 cases of AITL with bone marrow involvement was retrospectively analyzed.Im-munohistochemistry using the EnVision method and ten-color flow cytometry were conducted to detect AITL-related immune markers.T cell clonality was analyzed through T cell receptor(TCR)gene rearrangement.Results The predominant pat-terns of tumor cell infiltration were nodular(20/32,62.5％)and interstitial or small clusters(10/32,31.3％).The nodules showed a mixture of cellular components.In some cases,the fo-ci contained a mixture of cells with characteristic"granuloma-toid"changes.The tumor cells were mainly small to medium-sized lymphocytes with inconspicuous atypia.Some cases showed plasma cell proliferation.19 cases were subject to immunohisto-chemical staining,which revealed a low count of CD4-positive T cells,with an average of 8.4％.The positive rates of T follic-ular helper cells(TFH)markers were as follows:CD10(7/14,50.0％),BCL6(6/19,31.6％),PD-1(13/19,68.4％),and CXCL13(13/19,68.4％).In most cases,tumor cells showed co-expression of PD-1 and CXCL13,but the number of positive cells was less than 1％.Flow cytometry analysis was performed in 24 cases,among which 22 cases all consistently expressed cytoplasmic CD3(cCD3),CD5,CD4,and CD2,with varying degrees of CD10 expression.In some cases,there was a lack of expression of surface CD3(sCD3)(12/22,54.5％),while there was a lack of expression of CD7(8/22,36.4％).and no abnormal T cells were found in 2 cases.TCR gene rearrangement analysis was performed in 7 cases,with 3 cases showing TCR clonality.Conclusion AITL with bone marrow involvement exhibits a lower proportion of tumor cells and less atypia,making it prone to misdiagnosis.The presence of lymphocytic foci with mixed cellular components in the bone marrow can indicate bone marrow involvement in AITL.Flow cy-tometry detection of abnormal T cells(double positive for CD4 and CD10)strongly suggests bone marrow infiltration in AITL.A comprehensive diagnosis of bone marrow involvement in AITL re-quires consideration of bone marrow biopsy,flow cytometry,and TCR gene rearrangement analysis.