Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Blood turbidity and collateral disease are closely related to each other as the important component parts of the theoretical system of modern traditional Chinese medicine (TCM). The former focuses on blood and the latter on blood vessels and collaterals. By integrating these two theories, a theoretical basis for TCM syndrome differentiation and treatment of modern diseases can be provided. This article summarizes the correlation of origin, concept, treatment method and representative drugs of two theories, and points out that both blood turbidity and collateral disease prospers and develops through the integration of TCM classical theory and modern medical achievements. Theoretically, blood turbidity is the cause of collateral disease, and collateral disease is the result of aggravated blood turbidity. In many metabolic diseases, blood turbidity and collateral disease actually correspond to the main features of the early and late stages of the same disease, respectively. In treatment, clearing blood turbidity is consistent with dredging collaterals. When clearing blood turbidity, it is necessary to dredge the collaterals, and when dredging the collaterals, it is necessary to clear the blood turbidity. In terms of prescription and medication, Huazhuo Xingxue Decoction is the representative prescription of blood turbidity, which can be combined with Ramulus Cinnamomi, Sichuan lovage rhizome, earthworm, and other dredging collateral drugs. The representative prescription for collateral disease is Tongxinluo Capsule, which can be combined with lotus leaf, Fructus Crataegi, cassia seed, and other turbid-clearing drugs to enhance the curative effect.

Objective To investigate the clinical features in children with invasive pneumococcal disease (IPD) and early warning indicators of severe case.Methods The case data of 101 children inpatients with IPD isolated Streptococcus pneumoniae (Sp) at least once blood culture in this hospital from January 2007 to De-cember 2021 were collected retrospectively.The children patients were divided into the pediatric intensive care unit (PICU) group (35 cases) and general ward group (66 cases) according to whether or not entering PICU during hospitalization.The general clinical data,infection types and results of drug sensitivity test and bacteri-al strain serotype identification were compared between the two groups and analyzed.Results Compared with the general ward group,the male proportion,proportions of complicating nervous system disease and iron-defi-ciency anemia,winter incidence rate,disturbance of consciousness,convulsion,dyspnea,heart rate increase,oc-currence rate of vomiting and diarrhea,proportion of peripheral blood neutrophilic granulocytes,C reactive protein (CRP),lactic dehydrogenase (LDH) level,Hb<90 g/L,LDH>700 U/L,creatine kinase isoenzyme-MB (CK-MB) abnomality,proportions of bacterial meningitis,sepsis and severe pneumonia in the PICU group were higher,the proportion of 3-97 percentile of body weight,bronchopneumonia and no-focus blood stream infection were lower,WBC,Hb and albumin level were lower,and the differences were statistically significant (P<0.05).Eleven kinds of serotypes were identified in this study,ranking the top five in order were 6B,14,19F,23F and 19A.Pneumococcal 13-valent conjugate vaccine (PCV13) could cover 96.9％ of the IPD sero-types.The multivariate logistic regression analysis showed that consciousness disturbance,convulsion,per-centage of neutrophils increase,Hb<90 g/L,LDH>700 U/L and CK-MB abnormality indicated the condition of IPD children patients was critical,which was the early-warning indicator of entering PICU (P<0.05).Con-clusion Severe IPD lacks the early specific early-warning indicator,and the cover rate of PCV13 is high.

Objective This paper aims to construct a system integrating mixed reality technology with artificial algo-rithm and to evaluate its effectiveness in vascular localization during anterolateral thigh perforator flap surgery to provide new insights for clinical practice.Methods Twenty patients undergoing anterolateral thigh perforator flap repair were selected.After attaching positioning devices on the lower limb,CT angiography(CTA)scans were performed.The 2D data obtained were converted into a 3D model of the positioning device and vessels.Mixed reality technology was uti-lized to achieve 3D visualization of perforator vessels.An artificial algorithm was developed in HoloLens 2 to match the positioning device automatically with its 3D model intraoperatively to overlap the perforator vessels with their 3D mod-els.The number of perforator vessels identified within the flap harvesting area and the actual number detected during sur-gery were recorded to calculate the accuracy rate of vessel identification based on CTA data reconstruction.The distance between the perforator vessel exit points located by the system and the actual exit points was measured,and the error val-ues were calculated.The surgical time required for the system to harvest the anterolateral thigh perforator flap was docu-mented and compared with the surgical time required by conventional methods.The clinical applicability of the system was discussed.Results The CTA data reconstruction identified 30 perforator vessels,while the actual number found during surgery was 32,resulting in an identification accuracy rate of 93.75％.The average distance between the perfora-tor vessel exit points located by the system and the actual exit points was(1.65±0.52)mm.The average surgical time for flap harvesting with the assistance of the system was(43.45±4.6)min compared with(57.6±7.9)min required by conven-tional methods.All perforator flaps survived the procedure.One case of flap infection occurred seven days postoperative-ly,and one case of partial flap necrosis was treated with symptomatic therapy,resulting in delayed healing.Conclusion The system constructed in this paper can achieve 3D visualization of perforator vessels through mixed reality technology and improve the accuracy of perforator vessel localization using artificial algorithms,hence demonstrating potential ap-plication in anterolateral thigh perforator flap harvesting surgeries.

Objective:To understand the prevalence of psychoactive substance use and its related factors in young men who have sex with men (YMSM) in Tianjin.Methods:From September 2017 to December 2022, a face-to-face anonymous questionnaire survey was conducted in MSM aged 16-24 years selected by snowball sampling in Tianjin, the main demographic and behavioral information of the YMSM were collected, and blood samples were collected from them for HIV test. Multivariate logistic regression analysis was used to identify related factors of psychoactive substances use.Results:A total of 2 919 YMSM were included in the study, in whom 47.1% (1 374/2 919) had ever used psychoactive substances. The rate of psychoactive substance use in YMSM who were not students was 51.6% (853/1 653), which was higher than that (41.2%, 521/1 266) in YMSM who were students ( χ2=31.42, P<0.001). In the YMSM who were not students, multivariate analysis showed that the OR of psychoactive substance use was 1.49 times higher in smokers than in non-smokers (95% CI: 1.17-1.84), 4.14 times higher in those who had anal sex in the past six months than in those who had no anal sex (95% CI: 1.71-9.98), 1.65 times higher in those who had ≥3 anal intercourses in the last week than in those who had <3 anal intercourses (95% CI: 1.27-2.14), 1.99 times higher in those who had commercial sex in the past six months than in those who had no homosexual commercial sex (95% CI: 1.14-3.45), 2.37 times higher in those who had HIV test in the last year than in those who had no HIV test (95% CI: 1.90-2.94), 1.89 times higher in those who had STD diagnosis in the last year than in those who had no STD diagnosis (95% CI: 1.11-3.21), 0.66 times higher in those who had the first homosexual sex at age ≥20 years than in those who had the first homosexual sex at age <20 years (95% CI: 0.52-0.83), 0.48 times higher in those who were heterosexual or bisexual than in those who were homosexual (95% CI: 0.30-0.74) and 0.70 times higher in those who mainly searched sexual partners offline than in those who mainly searched sexual partners online (95% CI: 0.53-0.94). Meanwhile, in the YMSM who were students, multivariate analysis showed that the OR of psychoactive substance use was 1.31 times higher in local residents than in non-local residents (95% CI: 1.02-1.69), 1.61 times higher in smokers than in non-smokers (95% CI: 1.14-2.27), 1.52 times higher in those who had ≥3 anal intercourses in the last week than in those who had <3 anal intercourses (95% CI: 1.05-2.19), 3.31 times higher in those who had STD diagnosis in the last year than in those who had no STD diagnosis (95% CI: 1.68-6.50) and 0.53 times higher in those in Han ethnic group than in those in minor ethnic groups (95% CI: 0.30-0.94). Conclusions:The prevalence of psychoactive substance use was high in YMSM in Tianjin, and the influencing factors varied in different groups (students or not). It is necessary to conduct targeted interventions for different groups.

Objective:To explore the value of ultrasound measuring gastric sinus cross-sectional area (CSA) to guide early individualized enteral nutrition implementation strategies in sepsis patients.Methods:Thirty septic patients admitted to the EICU and comprehensive ICU of The Second Affiliated Hospital of Nanjing University of Chinese Medicine between January 2021 and December 2022 each were included. EICU patients used bedside ultrasound for gastric sinus CSA to guide the implementation of early enteral nutrition in septic patients, and a routine nutritional support strategy was adopted in the integrated ICU. The correlation of CSA and feeding intolerance in patients with septic gastrointestinal dysfunction, the ROC curve and other relevant indicators of gastrointestinal dysfunction gastrointestinal dysfunction score, SOFA score, APACHEⅡ score, intra-abdominal pressure (IAP), serum protein (PA), [albumin (Alb)]. By comparing the indicators related to inflammation, nutritional status and days of ICU stay after different strategies of the two groups, the advantages of different strategies were analyzed.Results:The baseline data of the two groups were balanced and comparable; the incidence of feeding intolerance was significantly higher (36.67%) than the conventional group (10.00%), with aggressive and early individualized treatment, the incidence rate on the third day was only 10.00%, significantly lower than that in the conventional treatment group (40.00%). Treatment up to the 5th day, the related function scores (gastrointestinal dysfunction score, APACHEⅡ score, SOFA score, IAP), nutritional status indicators (5 d hot card reaching the standard rate, PA, Alb) and inflammation indicators (WBC, PCT, hs-CRP) were significantly improved compared with admission, and is better than the conventional treatment group. In addition, the ICU hospital days and the incidence of aspiration were lower in the ultrasound treatment group ( P <0.05). CSA showed favorable correlation with gastrointestinal dysfunction score, APACHEⅡ score, SOFA score, IAP, PA and Alb, correlation coefficients were 0.79、0.60、0.66、0.71、-0.6 and -0.64( P <0.05). The ROC curve for predicting feeding intolerance by CSA showed the AUC was 0.828, 95% CI was 0.737-0.919, its optimal cutoff value for predicted feeding intolerance was 7.835 cm 2, the sensitivity and specificity were 88.20% and 71.80%. Conclusions:Ultrasound measuring CSA can early and effectively found the feeding intolerance in the patients with sepsis , via giving individualized enteral nutrition implementation strategy, significantly improve the organ function score, nutritional status and inflammation index, reduce the ICU hospital days and aspiration, and correlate with the conventional evaluation index, and sensitivity and specificity are high, worthy of the clinical further promotion.