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 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 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:To investigate the application value of metagenomic next-genera-tion sequencing (mNGS) in pathogenic diagnosis of suspected infected severe acute pancreatitis (SAP).Methods:The prospective study was conducted. The clinical data of 25 patients with suspected infected SAP who were admitted to the Xiangya Hospital of Central South University from May to September 2023 were collected. Upper limb venous blood samples of all the patients were collected for both of mNGS and routine pathogen microbial culture. Observation indicators: (1) grouping situations of the enrolled patients; (2) comparison of the diagnostic efficiency of mNGS and routine pathogen microbial culture; (3) results of peripheral blood pathogen microbial testing and peri-pancreatic effusion microbial culture; (4) testing time and cost. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3). Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Results:(1) Grouping situations of the enrolled patients. A total of 25 patients were selected for eligibility. There were 18 males and 7 females, aged 48(40,59)years. The duration of hospital stay of 25 patients was 30(20,50)days. The etiologies of 25 patients included 14 cases of hyperlipidemic pancreatitis, 8 cases of biliary pancreatitis, 1 case of alcohol-induced acute pancreatitis, and 2 cases of pancreatitis caused by other causes. Of the 25 patients, there were 17 cases with infected pancreatic necrosis (IPN) including 7 cases of death, and 8 cases with sterile pancreatic necrosis including no death. (2) Comparison of the diagnostic efficiency of mNGS and routine pathogen microbial culture. The positive rates of mNGS and routine pathogen microbial culture in diagnosis of suspected infected SAP were 72.0%(18/25) and 32.0%(8/25), respectively, showing a significant difference between them ( χ2=8.01, P<0.05). The sensitivity and negative predic-tive value of mNGS and routine pathogen microbial culture in diagnosis of IPN were 94.1%(16/17), 35.3%(6/17) and 85.7%(6/7), 35.3%(6/17), showing significant differences between them ( χ2=12.88, 5.04, P<0.05). The specificity and positive predictive value of mNGS and routine pathogen microbial culture in diagnosis of IPN were 75.0%(6/8), 75.0%(6/8) and 88.9%(16/18), 75.0%(6/8), showing no significant difference between them ( χ2=0, 0.82, P>0.05). (3) Results of peripheral blood pathogen microbial testing and peripancreatic effusion microbial culture. Of the 17 patients with IPN, 36 strains of pathogenic bacteria were detected by mNGS, and 6 strains were detected by routine pathogen microbial culture. There were 16 of 17 patients with IPN showing positive mNGS pathogenic testing, of which 13 cases were consistent with the pathogenic testing results of peri-pancreatic effusion microbial culture, showing a consistency rate of 76.5%(13/17). There were 6 pati-ents with IPN showing positive routine pathogen microbial culture, with a consistency rate of 35.3%(6/17) to peripancreatic effusion microbial culture. (4) Testing time and cost. Testing time of mNGS and routine pathogen microbial culture were (43±17)hours and (111±36)hours, showing a signifi-cant difference between them ( t=9.31, P<0.05). Testing cost of mNGS was (2 267±0)yuan/case, accoun-ting for 1.7% of the hospitalization expenses of (133 759±120 744)yuan/case. Testing cost of routine pathogen microbial culture was (240±0)yuan/case, accounting of 0.2% of the hospitalization expenses. Conclusion:mNGS has important value for early pathogenic diagnosis of suspected infected SAP, and has a high timeliness.

Objective:To explore the psychological experiences of lung cancer patients during treatment based on the perspective of narrative medicine,and to provide references for targeted nursing interventions.Methods:Guided by the concept of narrative medicine,the phenomenological method of qualitative research was used to conduct in-depth interviews with 20 lung cancer patients.The interview data were analyzed,refined,and summarized by using the content analysis method.Results:From the perspective of the humanistic value of narrative medicine,four themes were extracted from the interview contents with 20 lung cancer patients,including the loss of patients'role identity,the experience of disease uncertainty,the fear and expectation of death,and the helplessness and perception of life.Conclusion:During the treatment process of lung cancer patients,there are negative psychological experiences,such as loss of role identity,uncertainty of disease,fear of death,and hope to leave with dignity.Meanwhile,there are positive perceptions,such as contemplation of the meaning of life and actively coping with it.