Association between triglyceride-glucose related indices and mortality among individuals with non-alcoholic fatty liver disease or metabolic dysfunction-associated steatotic liver disease.

BACKGROUND: The prognostic value of triglyceride-glucose (TyG) related indices in non-alcoholic fatty liver disease (NAFLD) or metabolic dysfunction-associated steatotic liver disease (MASLD) is still unclear. This study aimed to determine the associations between TyG-related indices and long-term mortality in this population. METHODS: The data came from the National Health and Nutrition Examination Survey (NHANES III) and National Death Index (NDI). Baseline TyG, TyG combining with body mass index (TyG-BMI), and TyG combining with waist circumference (TyG-WC) indices were calculated, and mortality status was determined through 31 December 2019. Multivariate Cox and restricted cubic spline (RCS) regression models were performed to evaluate the relationship between TyG-related indices and long-term mortality among participants with NAFLD/MASLD. In addition, we examined the association between TyG-related indices and all-cause mortality within subgroups defined by age, sex, race/ethnicity, and fibrosis-4 index (FIB-4). RESULTS: There were 10,390 participants with completed ultrasonography and laboratory data included in this study. NAFLD was diagnosed in 3672/10,390 (35.3%) participants, while MASLD in 3556/10,390 (34.2%) amongst the overall population. The multivariate Cox regression analyses showed high levels of TyG-related indices, particularly in TyG-BMI and TyG-WC indices were significantly associated with the all-cause mortality, cardiovascular mortality, and diabetes mortality in either NAFLD or MASLD. The RCS curves showed a nonlinear trend between three TyG-related indices with all-cause mortality in either NAFLD or MASLD. Subgroup analyses showed that TyG-BMI and TyG-WC indices were more suitable for predicting all-cause mortality in patients without advanced fibrosis. CONCLUSION: Our study highlights the clinical value of TyG-related indices in predicting the survival of the NAFLD/MASLD population. TyG-BMI and TyG-WC indices would be the surrogate biomarkers for the follow-up of the population without advanced fibrosis.

Essential spectral pixels-based improvement of UMAP classifying hyperspectral imaging data to identify minor compounds in food matrix.

Classifying big data in hyperspectral imaging (HSI) can be challenging when minor (low-concentrated) compounds are present in actual samples, as for chemical additives and adulterants in food matrix. Herein, we propose a new strategy to classify HSI data for the identification of adulterants in food material for the first time. This strategy is based on the selection of essential spectral pixels of full HSI data followed by the feature space construction using uniform manifold approximation and projection as well as the data clustering utilizing hierarchical clustering analysis on the reduced data (named ESPs-UMAP-HCA). We apply our approach to analyze two real NIR datasets and four new Raman datasets. Compared with non-ESPs UMAP-HCA and t-distributed stochastic neighbor embedding combined with ESPs and HCA (ESPs-t-SNE-HCA), the developed strategy provides well-separated clusters for major and minor compounds in food matrix. Finally, the adulterants as minor compounds are accurately identified, which is confirmed by the fact that the extracted spectra of them perfectly match with their pure spectra. In addition, their locations are found in the contribution map even though they are present in a few pixels. What's more, the proposed strategy does not need any a priori knowledge of the data structure and the class memberships and therefore reduced the studied difficulty and confirmation bias in the analysis of big HSI datasets. Overall, the proposed ESPs-UMAP-HCA method could be a potential approach for food adulteration detection.

Comparison of customized vacuum sealing drainage and vacuum sealing drainage in the treatment of diabetic foot ulcers: a retrospective analysis.

BACKGROUND: The prevalence of diabetic foot ulcers, a common, more serious chronic diabetes-related complication, is increasing. Vacuum sealing drainage (VSD) constitutes an effective adjunctive treatment for diabetic foot ulcers. Factors, such as poor glycemic control, ischemia, and infection prolong wound healing time, and VSD products are expensive and unaffordable for many patients. OBJECTIVE: To compare the use of customized VSD and customized VSD in the treatment of diabetic foot ulcer. METHOD: This retrospective study included 83 patients with diabetic foot ulcers in customized VSD (n = 44) and VSD (n = 39) groups. Baseline data, efficacy after 14 days, total treatment efficiency, final outcome (28 days after treatment, healing rate), average treatment cost, and hospitalization (days) of the two groups were compared. Factors affecting wound healing were analyzed. RESULTS: No significant intergroup differences in the baseline data were detected (VSD vs. customized VAD, p > 0.05). Treatment efficacy was higher in the customized VSD group than in the VSD group after 14 days (p < 0.05), although total treatment efficiency in both groups reached 100%. The final outcome in the customized VSD group was better (vs. VSD group, p < 0.05), and the wound healing rate was higher than in the VSD group (66.7% vs. 33.3%). The mean treatment cost and hospital days were greater in the VSD group (vs. customized VSD group; p < 0.05). Factors affecting wound healing include age, Wagner classification, HDL-C, and fasting C-peptide. Younger age, low Wagner classification grade, low HDL-C level, and high fasting C-peptide contribute to higher healing rate, CONCLUSION: Efficacy and final outcome of customized VSD were better than that of VSD; the customized VSD device is simple and convenient to operate, and enables cost-effective treatment.

Serum liver fibrosis markers predict hepatic decompensation in compensated cirrhosis.

BACKGROUND AND AIM: The literature is sparse on the association between serum liver fibrosis markers and the development of hepatic decompensation in patients with compensated cirrhosis. We aimed to assessed whether the serum liver fibrosis markers are predictive of the occurrence of hepatic decompensation. METHODS: We ascertained 688 cirrhotic patients with varying etiologies, between December 2015 to December 2019. Serum hyaluronic acid (HA), laminin (LN), collagen IV (CIV), and N-terminal propeptide of type III collagen (PIIINP) levels were measured at enrollment. All subjects were followed for at least 6 months for occurrence of hepatic decompensation. Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) of hepatic decompensation during follow-up. RESULTS: During a median follow-up of 22.0 (13.0-32.0) months, decompensation occurred in 69 (10.0%) patients. Multivariate analysis indicated that higher LN (HR: 1.008, 95% confidence interval [CI]: 1.002-1.014, P = 0.011) and CIV (HR: 1.004, 95% CI: 1.001-1.007, P = 0.003) levels were independently associated with hepatic decompensation. Furthermore, patients in the tertile 2 and tertile 3 groups for CIV levels had HRs of 4.787 (1.419, 16.152) (P = 0.012) and 5.153 (1.508, 17.604) (P = 0.009), respectively, for occurrence of decompensation event compared with those in the tertile 1 group. CONCLUSION: Serum liver fibrosis markers, particularly in CIV, appeared to be reliable biomarkers of disease progression and liver decompensation in patients with compensated cirrhosis with varying etiologies.

Abnormal brain glucose metabolism patterns in patients with advanced non-small-cell lung cancer after chemotherapy：A retrospective PET study.

PURPOSE: This study was designed to investigate the acute or chronic post-chemotherapy effect and different chemotherapy cycles effect on brain glucose metabolism. METHODS: A total of seventy-three patients who received chemotherapy after being diagnosed with advanced non-small-cell lung cancer (NSCLC) and underwent 18F-Fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) scan at Nuclear Medicine Department of the Fifth Hospital of Sun Yat-sen University between September 2017 and August 2022 were included. Seventy-two healthy control patients who underwent whole-body 18F-FDG PET/CT scans at our department, without any evidence of malignancy and confirmed by follow-up visits, were included. Advanced NSCLC patients were classified into six arms: short-to-long course (chemotherapy cycles under 4, between 5 and 8 and more than 8) in acute chemotherapy effect (AC) group (scanned 18F-FDG PET/CT within 6 months post-chemotherapy) or chronic chemotherapy effect (CC) group (the interval between scanning and the last chemotherapy session more than six months). Statistical Parametric Mapping (SPM) analysis between patients' groups and healthy controls' brain 18F-FDG PET was performed (uncorrected p ˂ 0.001 with cluster size above 20 contiguous voxels). RESULTS: There were no significant differences between patients' groups and healthy controls in age, gender and body mass index (BMI). SPM PET analyses revealed anomalous brain metabolic activity in different groups (p ˂ 0.001). Short-course + AC group exhibited hypermetabolism in the cerebellum and widespread hypometabolism in bilateral frontal lobe predominantly. Only hypometabolic brain regions were observed in middle-course + AC patients. Long-course + AC group displayed a greater number of abnormalities. Notably, these metabolic abnormalities tended to decrease in CC groups versus AC groups across all courses. CONCLUSION: Our study revealed that patients with advanced NSCLC who underwent chemotherapy exhibited persistent abnormal brain metabolism patterns during continuous chemotherapy and these abnormalities tended to recover after completion of chemotherapy over time, but without correlation to an increasing number of chemotherapy cycles. 18F-FDG PET/CT may serve as a possible modality for evaluating brain function and guiding appropriate treatment timing.

Characterization of Chitin Synthase B Gene (HvChsb) and the Effects on Feeding Behavior in Heortia vitessoides Moore.

The chitin synthase B gene is a key enzyme in the chitin synthesis of insect peritrophic matrix (PM), which affects insects' feeding behavior. The chitin synthase B gene was cloned from the transcription library of Heortia vitessoides Moore. RT-qPCR showed that HvChsb was highly expressed in the larval stage of H. vitessoides, especially on the first day of the pre-pupal stage, as well as in the midgut of larvae and the abdomen of adults. After starvation treatment, HvChsb was found to be significantly inhibited over time. After 48 h of starvation, the feeding experiment showed that HvChsb increased with the prolongation of the re-feeding time. The experimental data showed that feeding affected the expression of HvChsb. HvChsb was effectively silenced via RNA interference; thus, its function was lost, significantly decreasing the survival rate of H. vitessoides. The survival rate from larval-to-pupal stages was only 43.33%, and this rate was accompanied by abnormal phenotypes. It can be seen that HvChsb plays a key role in the average growth and development of H. vitessoides.

The Albumin-Bilirubin Score as a Predictor of Liver-Related Mortality in Primary Biliary Cholangitis with Compensated Cirrhosis.

BACKGROUND: Although several prognostic scores have been reported to correlate with the prognosis of primary biliary cholangitis (PBC) patients, there are limited tools to predict the prognosis of PBC with compensated cirrhosis. This study aimed to evaluate the prognostic performance of the albumin-bilirubin (ALBI) score in PBC patients with compensated cirrhosis. METHODS: We conducted a retrospective longitudinal study of 219 patients with compensated PBC cirrhosis to evaluate the prognostic performance of the ALBI using Cox regression model, receiver operating characteristic (ROC) curve, and Kaplan-Meier method. RESULTS: During follow-up, a total of 19 subjects (8.7%) met the primary endpoint of liver-related death or liver transplantation (LT). Patients who died/underwent LT have higher ALBI score (-1.06 vs. -2.06, p < 0.001) at baseline than those who survived. ALBI score (hazard ratio: 15.011, 95% confidence interval [CI]: 5.045-44.665, p < 0.001) was associated with an increase in liver-related mortality or LT. ALBI score had the best discriminative capacity to predict the 5-year liver-related mortality (area under the ROC curve: 0.871, 95% CI [0.820, 0.913]) compared with other prognostic scores. The ROC curve showed that the best cut-off value of ALBI score was -1.47, with 90.0% sensitivity and 76.6% specificity. Also, the probability of transplant-free survival decreased with increasing ALBI grade (log-rank p = 0.003). The 5-year transplant-free survival rates of patients in grade 1, grade 2, and grade 3 were 100.0%, 96.4%, and 89.4%, respectively. CONCLUSION: ALBI score is a simple and effective predictive factor estimating the clinical outcome of patients with compensated PBC cirrhosis and provides better prognostic performance compared with other prognostic scores.

Discovery of highly potent and selective VEGFR2 kinase inhibitors for the treatment of rheumatoid arthritis.

Synovial angiogenesis is essential for the development of rheumatoid arthritis (RA). Human vascular endothelial growth factor receptor 2 tyrosine kinase (VEGFR2) is a direct target gene that is notably elevated in RA synovium. Herein, we report the identification of indazole derivatives as a novel class of potent VEGFR2 inhibitors. The most potent compound, compound 25, displayed single-digit nanomolar potency against VEGFR2 in biochemical assays and achieved good selectivity for other protein kinases in the kinome. In addition, compound 25 dose-dependently inhibited the phosphorylation of VEGFR2 in Human Umbilical Vein Endothelial Cells (HUVECs) and showed an anti-angiogenic effect, as evidenced by the inhibition of capillary-like tube formation in vitro. Moreover, compound 25 reduced the severity and development of adjuvant-induced arthritis in rats by inhibiting synovial VEGFR2 phosphorylation and angiogenesis. Overall, these findings provide evidence that compound 25 is a leading potential drug candidate for anti-arthritic and anti-angiogenic therapy.

Vitamin C and vitamin D3 alleviate metabolic-associated fatty liver disease by regulating the gut microbiota and bile acid metabolism via the gut-liver axis.

Background: Previous studies have demonstrated that both vitamin C (VC) and vitamin D3 (VD3) have therapeutic potential against metabolic disorders, including obesity, diabetes, and metabolic-associated fatty liver disease (MAFLD). However, it is unclear whether VC supplementation is associated with improving the intestinal flora and regulating the metabolism of bile acids via the gut-liver axis in MAFLD. There is still no direct comparison or combination study of these two vitamins on these effects. Methods: In this study, we employed biochemical, histological, 16S rDNA-based microbiological, non-targeted liver metabolomic, and quantitative real-time polymerase chain reaction analyses to explore the intervening effect and mechanism of VC and VD3 on MAFLD by using a high-fat diet (HFD)-induced obese mouse model. Results: Treatment of mice with VC and VD3 efficiently reversed the characteristics of MAFLD, such as obesity, dyslipidemia, insulin resistance, hepatic steatosis, and inflammation. VC and VD3 showed similar beneficial effects as mentioned above in HFD-induced obese mice. Interestingly, VC and VD3 reshaped the gut microbiota composition; improved gut barrier integrity; ameliorated oxidative stress and inflammation in the gut-liver axis; inhibited bile acid salt reflux-related ASBT; activated bile acid synthesis-related CYP7A1, bile acid receptor FXR, and bile acid transportation-related BSEP in the gut-liver axis; and improved bile secretion, thus decreasing the expression of FAS in the liver and efficiently ameliorating MAFLD in mice. Conclusion: Together, the results indicate that the anti-MAFLD activities of VC and VD3 are linked to improved gut-liver interactions via regulation of the gut microbiota and bile acid metabolism, and they may therefore prove useful in treating MAFLD clinically.

Construction of an individualized brain metabolic network in patients with advanced non-small cell lung cancer by the Kullback-Leibler divergence-based similarity method: A study based on 18F-fluorodeoxyglucose positron emission tomography.

Background: Lung cancer has one of the highest mortality rates of all cancers, and non-small cell lung cancer (NSCLC) accounts for the vast majority (about 85%) of lung cancers. Psychological and cognitive abnormalities are common in cancer patients, and cancer information can affect brain function and structure through various pathways. To observe abnormal brain function in NSCLC patients, the main purpose of this study was to construct an individualized metabolic brain network of patients with advanced NSCLC using the Kullback-Leibler divergence-based similarity (KLS) method. Methods: This study included 78 patients with pathologically proven advanced NSCLC and 60 healthy individuals, brain 18F-FDG PET images of these individuals were collected and all patients with advanced NSCLC were followed up (>1 year) to confirm their overall survival. FDG-PET images were subjected to individual KLS metabolic network construction and Graph theoretical analysis. According to the analysis results, a predictive model was constructed by machine learning to predict the overall survival of NSLCL patients, and the correlation with the real survival was calculated. Results: Significant differences in the degree and betweenness distributions of brain network nodes between the NSCLC and control groups (p<0.05) were found. Compared to the normal group, patients with advanced NSCLC showed abnormal brain network connections and nodes in the temporal lobe, frontal lobe, and limbic system. The prediction model constructed using the abnormal brain network as a feature predicted the overall survival time and the actual survival time fitting with statistical significance (r=0.42, p=0.012). Conclusions: An individualized brain metabolic network of patients with NSCLC was constructed using the KLS method, thereby providing more clinical information to guide further clinical treatment.

Insulin injection knowledge, attitude and behaviour of nurses: A cross-sectional study in Guangdong Province.

AIM: To understand the insulin injection knowledge, attitude and behaviour of nurses and their influencing factors in Guangdong Province. DESIGN: Cross-sectional study. METHODS: A total of 19,853 nurses from 82 hospitals in 15 cities in Guangdong, China, participated in this study. The scores of the nurses' insulin injection knowledge, attitude and behaviour were determined through a questionnaire, and multivariate regression analysis was used to evaluate the influencing factors of insulin injection in different dimensions. STROBE. RESULTS: Among all nurses involved in this study, 22.3% of nurses had good knowledge, 75.9% of nurses had good attitude and 92.7% of nurses had good behaviour. Pearson's correlation analysis showed that knowledge, attitude scores and behaviour scores were significantly correlated. The influencing factors of knowledge, attitude and behaviour included gender, age, education, nurse level, work experience, type of ward, diabetes nursing certification, position held and most recent insulin administration.

Correlation between serum liver fibrosis markers and early gastroesophageal varices among patients with compensated liver cirrhosis: a cross-sectional analysis.

BACKGROUND AND AIM: Portal hypertension is a common complication of chronic liver diseases responsible for most liver cirrhosis consequences. In patients with portal hypertension, oesophagogastric variceal bleeding is a leading cause of death. Most research has focused on high-risk gastroesophageal varices and bleeding, with only a few studies on early varices. However, early intervention of gastroesophageal varices was found to better improve the prognosis and reduce mortality, but there is still no relevant research. Ultrasonic endoscopy is a combination of endoscopy and ultrasonic imaging. It can gastroscopically detect varices around the oesophagus and stomach and detect oesophageal collateral veins and perforating veins earlier, which is helpful for the early diagnosis of varices. Therefore, this study aimed to explore the correlation between serum fibrosis markers and early gastroesophageal varices in compensated cirrhosis patients. METHODS: This study included 791 patients with compensated cirrhosis. The selected patients were categorized into three groups. The early gastroesophageal varices group included patients with gastroesophageal varices found by endoscopic ultrasonography but not by gastroscopy. The no gastroesophageal varices group underwent endoscopic ultrasonography and gastroscopy without varices. In addition, gastroesophageal varices can be detected with both techniques. Multiple logistic regression analysis explored the association of serum fibrosis markers with early gastroesophageal varices. RESULTS: Among the 791 compensated liver cirrhosis patients, 198 patients were without gastroesophageal varices, 279 patients had early gastroesophageal varices, 314 patients had gastroesophageal varices, and both techniques could detect varices. There was a positive correlation between serum fibrosis markers and early gastroesophageal varices. In univariate logistic regression analysis, the patients with early gastroesophageal varices had lower platelet counts (P = 0.034) and higher aspartate aminotransferase (P = 0.046), total bilirubin (P = 0.041), hyaluronic acid (P < 0.001), laminin (P < 0.001), type III procollagen (P = 0.005), type IV collagen (P = 0.002), liver stiffness measurement (P = 0.001), APRI (P = 0.019) and FIB-4 (P = 0.002). Multivariate analysis showed that laminin (OR 1.011; 95% CI 1.004-1.017, P = 0.001) was an independent risk factor for predicting early gastroesophageal varices in compensated cirrhosis patients. CONCLUSION: Higher laminin was independently associated with early gastroesophageal varices in compensated cirrhosis patients.

Psychiatric symptoms predict drug-resistant epilepsy in newly treated patients.

PURPOSE: Literature on the complex interrelationships between psychiatric symptoms and drug resistance in newly treated patients with epilepsy (PWE) is lacking. We aimed to determine whether psychiatric symptoms are predictive of the development of drug-resistant epilepsy (DRE) in newly treated patients. METHODS: Newly treated PWE were psychiatrically evaluated at enrolment and were followed for 24 months to determine the occurrence of DRE. The impacts of depressive and anxiety symptoms on the development of DRE were investigated using the Cox proportional hazard model. RESULTS: A total of 217 patients were included in the final analysis. DRE was diagnosed in 26.7% of patients (n=58). In univariate analysis, depressive and anxiety symptoms were identified as risk factors for the development of DRE. In multivariate analyses, depressive symptoms were a significant independent predictor of DRE (HR: 3.253, 95% CI: 1.643-6.441; p = 0.001). Additionally, the probability of developing DRE was 5.219 times higher in patients with both depressive and anxiety symptoms than in patients without depressive or anxiety symptoms (HR: 5.219, 95% CI: 2.716-10.029; p<0.001). CONCLUSION: In conclusion, psychiatric symptoms provide prognostic information regarding the occurrence of DRE in patients newly treated with ASMs. Our findings support the need for prospective studies to investigate whether psychiatric treatment reduces the risk of developing DRE in these patients.

Seizure outcome-related factors in autoimmune encephalitis: A systematic review and meta-analysis.

Background: Identifying the predictors for seizure outcome in autoimmune encephalitis (AE) and investigating how to prevent persistent seizures would have major clinical benefits effectively. Thus, we aimed to perform a systematic review and meta-analysis to examine seizure outcome-related factors in AE patients. Methods: PubMed and EMBASE were systematically searched from inception to 10 June 2022 for studies investigating seizure outcome-related factors in AE. The pooled effect estimates, including standardized mean differences (SMDs) and odds ratios (ORs) with 95% confidence intervals (CIs), were calculated to estimate the effect of each included factor on the seizure outcome. Results: A total of 10 studies were included in the meta-analysis. Our pooled results of this meta-analysis showed that five factors were found to increase the risk of persistent seizures in AE patients, including onset with seizures (OR = 2.106, 95% CI = 1.262-3.514, p = 0.004), status epilepticus (OR = 3.017, 95% CI = 1.995-4.563, p < 0.001), EEG abnormalities (OR = 1.581, 95% CI = 1.016-2.46, p = 0.042), MRI abnormalities (OR = 1.554, 95% CI = 1.044-2.283, p = 0.03), and longer time from clinical onset to immunotherapy (SMD = 1.887, 95% CI = 0.598-3.156, p = 0.004). Conclusion: Our meta-analysis indicated that onset with seizures, status epilepticus, EEG abnormalities, MRI abnormalities, and longer time from clinical onset to immunotherapy were risk factors for persistent seizures in AE patients.

Effects of insomnia and levels of depression and anxiety symptoms on quality of life in people with epilepsy.

OBJECTIVES: The association between insomnia and quality of life (QOL) in epilepsy is poorly understood and may involve interactive variables. We aimed to investigate whether and how insomnia, levels of depression and anxiety symptoms interact to influence QOL in people with epilepsy (PWE). METHODS: A consecutive cohort of 179 PWE was enrolled. We collected data on insomnia, levels of depression and anxiety symptoms, and QOL. The Insomnia Severity Index (ISI), Depression Inventory for Epilepsy (NDDI-E), Generalized Anxiety Disorder-7 (GAD-7), and QOL in Epilepsy Inventory (QOLIE-31) were used. The direct, indirect, and total effects of insomnia on QOL were estimated based on a moderated mediation model. RESULTS: Depression symptom levels mediated the association between insomnia and QOL (B = 0.09 SE = 0.03, p = 0.01). Depression symptom levels accounted for 34.7% of the total effect of insomnia on QOL. The mediating effect of depression symptom levels was positively moderated by anxiety symptom levels (B = 0.09, SE = 0.03, p = 0.01). CONCLUSION: The effect of insomnia on QOL can be partially explained by the mediation of depression symptom levels. Additionally, improving anxiety symptoms may attenuate the indirect effect of insomnia on QOL through depression symptom levels.

Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.

PURPOSE: This study aimed to explore the predictive efficacy of radiomics analyses based on readout-segmented echo-planar diffusion-weighted imaging (RESOLVE-DWI) for prognosis evaluation in nasopharyngeal carcinoma in order to provide further information for clinical decision making and intervention. METHODS: A total of 154 patients with untreated NPC confirmed by pathological examination were enrolled, and the pretreatment magnetic resonance image (MRI)-including diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) maps, T2-weighted imaging (T2WI), and contrast-enhanced T1-weighted imaging (CE-T1WI)-was collected. The Random Forest (RF) algorithm selected radiomics features and established the machine-learning models. Five models, namely model 1 (DWI + ADC), model 2 (T2WI + CE-T1WI), model 3 (DWI + ADC + T2WI), model 4 (DWI + ADC + CE-T1WI), and model 5 (DWI + ADC + T2WI + CE-T1WI), were constructed. The average area under the curve (AUC) of the validation set was determined in order to compare the predictive efficacy for prognosis evaluation. RESULTS: After adjusting the parameters, the RF machine learning models based on extracted imaging features from different sequence combinations were obtained. The invalidation sets of model 1 (DWI + ADC) yielded the highest average AUC of 0.80 (95% CI: 0.79-0.81). The average AUCs of the model 2, 3, 4, and 5 invalidation sets were 0.72 (95% CI: 0.71-0.74), 0.66 (95% CI: 0.64-0.68), 0.74 (95% CI: 0.73-0.75), and 0.75 (95% CI: 0.74-0.76), respectively. CONCLUSION: A radiomics model derived from the MRI DWI of patients with nasopharyngeal carcinoma was generated in order to evaluate the risk of recurrence and metastasis. The model based on MRI DWI can provide an alternative approach for survival estimation, and can reveal more information for clinical decision-making and intervention.

Relapses of Anti-NMDAR, Anti-GABABR and Anti-LGI1 Encephalitis: A Retrospective Cohort Study.

Objective: To investigate the relapse rate and study the factors that may predict the subsequent relapse in anti-NMDAR, anti-GABABR and anti-LGI1 encephalitis in Northeast China. Methods: In the retrospective cohort study, we consecutively enrolled patients with anti-N1MDAR, anti-GABABR and anti-LGI1 encephalitis between March 2015 and November 2021. The patients were followed up for at least 6 months. The outcome variable was a binary variable of relapse or not. Predictors of relapse were identified. Results: A total of 100 patients were enrolled. Relapse occurred in 26 (26%) patients after a median follow-up of 18 months since the first event. The relapse rates of anti - NMDAR, anti - GABABR and anti - LGI1 encephalitis were 25%, 33.3%, and 28.6%, respectively. The multivariable analysis results suggested that immunotherapy delay at the acute phase was independently associated with an increased risk of relapse in total patients (HR = 2.447, 95% CI = 1.027 - 5.832; P = 0.043). Subgroup analysis results showed that antibody titer was associated with the likelihood of relapse in anti-LGI1 encephalitis. The higher the concentration, the more likely it was for patients to have relapse (p=0.019). Conclusion: The general relapse rate of anti-NMDAR, anti-GABABR and anti-LGI1 encephalitis was 26%. The risk of subsequent relapse was elevated in those with delayed immunotherapy in the first episode. In subgroup of anti-LGI1 encephalitis, higher antibody titer was the risk factors of relapse. Thus, timely and aggressive immunotherapy may be beneficial for patients to prevent subsequent relapse.

Current Cigarette Smoking Is Associated With a High Seizure Frequency and Anxiety Symptoms in People With Epilepsy.

Purpose: This study aims to answer the following questions: how many people with epilepsy (PWE) have cigarette smoking habits? Which demographic or clinical characteristics are associated with cigarette smoking? Is cigarette smoking related to depressive and anxiety symptoms in PWE? Methods: A total of 524 PWE were included in the final analysis. Demographic and clinical data were gathered and recorded. Smoking status was identified. The associations of smoking status with the clinical features of epilepsy and depressive and anxiety symptoms were evaluated by logistic regression models. Results: The overall prevalence of cigarette smoking was 23.5% (123 PWE) in this sample. In the multivariate logistic regression model, men (adjusted OR = 10.414, 95% CI: 5.552-19.535, P < 0.001), high seizure frequency (adjusted OR = 1.474, 95% CI: 1.043-2.084, P = 0.028), and anxiety symptoms (adjusted OR = 2.473, 95% CI: 1.483-4.112, P = 0.001) were shown to have independent associations with cigarette smoking in PWE. Conclusion: Our findings suggested that the overall prevalence of cigarette smoking was 23.5% in adults with epilepsy, which is slightly lower than that (26.6%) in general adults in China. In the present study, cigarette smoking was associated with men, high seizure frequency, and anxiety symptoms in PWE. Further prospective clinical studies with larger sample sizes are required to confirm our findings.

Acute Symptomatic Seizures and Risk of Epilepsy in Autoimmune Encephalitis: A Retrospective Cohort Study.

Purpose: To investigate the clinical characteristics of acute symptomatic seizures and the predictors of the development of epilepsy in patients with anti-NMDAR, anti-LGI1, and anti-GABABR encephalitis. Methods: We retrospectively screened the medical records of 86 hospitalized patients with confirmed autoimmune encephalitis (AE). The clinical characteristics of acute symptomatic seizures were analyzed. The predictors of the development of epilepsy were investigated using logistic regression analysis. Results: A total of 86 patients with AE were finally included. Eighty-six percent of patients (n = 74) experienced acute symptomatic seizures, and 28.4% of patients developed epilepsy during follow-up. Abnormal EEG findings were more frequent in AE patients with acute symptomatic seizures. A greater number of anti-seizure medications (ASMs), abnormal EEG findings, and delayed immunotherapy were found to be independently associated with the development of epilepsy. Conclusion: Acute symptomatic seizures are a common manifestation in AE patients. During follow-up, 28.4% of AE patients developed epilepsy. The independent factors that predicted the development of epilepsy after the acute phase included a larger number of ASMs, EEG abnormalities, and delayed immunotherapy. In clinical practice, we should prioritize immunotherapy to control acute seizures as soon as possible. For AE patients with an increased risk of developing epilepsy, early withdrawal of ASM is not recommended.