Although epilepsy is first known as a disease of seizures and convulsions, most patients with epilepsy also suffer from seizure-associated behavioral abnormalities in motor functions, psychiatric status, and cognition. These neurobehavioral comorbidities may have greater impacts on the quality of life of people with epilepsy than the seizures themselves and can profoundly interfere with the treatment compliance. While repeated seizures often lead to behavioral comorbidities, certain types of comorbid conditions may potentially increase the risk for epileptic seizures, indicative of some common mechanisms that might underlie these two conditions. As such, emerging evidence supports that inflammation within the brain might represent a key component of such a shared mechanism, given that neuroinflammation can be induced by seizures and various behavioral stressors, and in turn may exacerbate both conditions. Among inflammatory pathways that arise after prolonged seizures, PGE₂ signaling via the EP2 receptor promotes cytokine induction, blood-brain barrier disruption, reactive gliosis, neuronal death, and eventually, contributes to behavioral dysfunctions. Pharmacological inhibition of EP2 by small-molecule drug-like antagonists affords broad therapeutic benefits including anti-inflammatory and neuroprotective effects in several rodent seizure models, leading to long-lasting alleviation of neurobehavioral comorbidities, particularly cognitive impairments. Targeting this key inflammatory prostaglandin receptor might provide an adjunctive strategy, along with the current anti-seizure medications, to mitigate cognitive dysfunctions associated with seizure disorders.

Objective:To develop and assess a three-class machine learning model for predicting wild-type, 19 del, and 21 L858R mutations of the epidermal growth factor receptor (EGFR) in lung adenocarcinoma using 18F-FDG PET/CT radiomic features and clinical features. Methods:The retrospective data was collected from 703 patients (346 males, 357 females; age (64.3±9.0) years) with lung adenocarcinoma at the First People′s Hospital of Changzhou from January 2018 to June 2023. Patients were divided into the training set (563 cases) and test set (140 cases) at the ratio of 8∶2. Clinical features were selected using recursive feature elimination (RFE). Radiomic features were extracted from PET and CT images, and the optimal feature sets were selected using minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) methods. Base models were constructed by using random forest (RF), logistic regression (LR), support vector machine (SVM), K-nearest neighbors (KNN), and multi-layer perceptron (MLP), and the stacking method was applied to establish the CT and PET ensemble models. Delong test was used to compare the AUC differences between the PET/CT combined model and the clinical + PET/CT integrated model.Results:Among 703 patients, 273 were with EGFR wild-type, 202 were with 19 del mutation, and 228 were with 21 L858R mutation. In the single-modal analysis, the AUCs of CT ensemble model in the training and test sets were 0.893 and 0.667, respectively, while the AUCs of PET ensemble model were 0.692 and 0.660. The AUC of PET/CT combined model were 0.897 in training set and 0.672 in test set. The AUC of clinical + PET/CT integrated model showed further improvement, with AUCs of 0.902 and 0.721 in training and test sets, respectively. Notably, the clinical + PET/CT integrated model outperformed PET/CT combined model in predicting wild-type EGFR (test set AUC: 0.784 vs 0.707; Z=3.28, P=0.001). Conclusion:The three-class model (clinical + PET/CT integrated model) based on 18F-FDG PET/CT radiomics and clinical features effectively predicts EGFR mutation subtypes in lung adenocarcinoma.

ObjectiveTo investigate the incidence and trends of thyroid cancer in Wujiang District, Suzhou City, Jiangsu Province, from 2008 to 2022, and to provide a scientific evidence for the prevention and control of thyroid cancer. MethodsData on thyroid cancer incidence from 2008 to 2022 were collected from the Wujiang District Cancer Registry System. The data were stratified by year of diagnosis and age group, and indicators such as crude incidence rate, standardized incidence rate (SIR), age-specific incidence rate, and the average annual percentage change (AAPC) were calculated. ResultsBetween 2008 and 2022, a total of 2 244 new cases of thyroid cancer reported in Wujiang District. The overall crude incidence rate was 18.07/100 000, and the SIR was 16.02/100 000, with AAPCs of 28.30% and 30.59%, respectively. Among males, 543 new cases were reported, with a crude incidence rate of 8.88/100 000, a SIR of 7.98/100 000, and AAPCs of 24.99% and 28.19%, respectively. Among females, 1 701 new cases were reported, with a crude incidence rate of 27.00/100 000, a SIR of 23.80/100 000, and AAPCs of 30.06% and 31.97%, respectively. Both crude and standardized incidence rates increased significantly for the overall population as well as for males and females (P<0.05). The number and rates of age-specific incidences increased with age up to 55 years, peaking between 50 and <55 years. ConclusionThe incidence rate of thyroid cancer in Wujiang District is rapidly increasing. It is necessary to strengthen the prevention and control of thyroid cancer, especially among females, to mitigate the rapid increase in the incidence rate of thyroid cancer.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Objective:To develop and assess a three-class machine learning model for predicting wild-type, 19 del, and 21 L858R mutations of the epidermal growth factor receptor (EGFR) in lung adenocarcinoma using 18F-FDG PET/CT radiomic features and clinical features. Methods:The retrospective data was collected from 703 patients (346 males, 357 females; age (64.3±9.0) years) with lung adenocarcinoma at the First People′s Hospital of Changzhou from January 2018 to June 2023. Patients were divided into the training set (563 cases) and test set (140 cases) at the ratio of 8∶2. Clinical features were selected using recursive feature elimination (RFE). Radiomic features were extracted from PET and CT images, and the optimal feature sets were selected using minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) methods. Base models were constructed by using random forest (RF), logistic regression (LR), support vector machine (SVM), K-nearest neighbors (KNN), and multi-layer perceptron (MLP), and the stacking method was applied to establish the CT and PET ensemble models. Delong test was used to compare the AUC differences between the PET/CT combined model and the clinical + PET/CT integrated model.Results:Among 703 patients, 273 were with EGFR wild-type, 202 were with 19 del mutation, and 228 were with 21 L858R mutation. In the single-modal analysis, the AUCs of CT ensemble model in the training and test sets were 0.893 and 0.667, respectively, while the AUCs of PET ensemble model were 0.692 and 0.660. The AUC of PET/CT combined model were 0.897 in training set and 0.672 in test set. The AUC of clinical + PET/CT integrated model showed further improvement, with AUCs of 0.902 and 0.721 in training and test sets, respectively. Notably, the clinical + PET/CT integrated model outperformed PET/CT combined model in predicting wild-type EGFR (test set AUC: 0.784 vs 0.707; Z=3.28, P=0.001). Conclusion:The three-class model (clinical + PET/CT integrated model) based on 18F-FDG PET/CT radiomics and clinical features effectively predicts EGFR mutation subtypes in lung adenocarcinoma.

Objective:To investigate the value of intratumoral and peritumoral radiomics models based on 18F-FDG PET-CT in predicting epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma and interpret peritumoral radiomics features. Methods:This study was a cross-sectional study. Patients with lung adenocarcinoma who underwent 18F-FDG PET-CT at the Third Affiliated Hospital of Soochow University between January 2018 and April 2022 were retrospectively collected and samplied into a training set (309 cases) and a test set (206 cases) in a 6∶4 ratio randomly. Radiomics features were extracted from the intratumoral and peritumoral regions of interest based on PET and CT images, respectively, and the optimal feature sets were selected. Radiomics models were established using the XGBoost algorithm, and radiomics scores (intratumoral CT label, peritumoral CT label, intratumoral PET label, peritumoral PET label) were calculated. Logistic regression analysis was used to construct a clinical model and a combined model (incorporating PET-CT intratumoral and peritumoral radiomics, clinical features, and CT semantic features). The predictive performance of the models was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Unsupervised clustering, Spearman correlation analysis, and visualization methods were used for the interpretability of peritumoral radiomics features. Results:In both the training and test sets, the AUC value of CT peritumoral labels was greater than that of CT intratumoral labels for predicting EGFR mutation status in lung adenocarcinoma (training set: Z=3.84, P<0.001; test set: Z=1.99, P=0.046). In the test set, the AUC value of PET intratumoral labels (0.684) was slightly higher than that of PET peritumoral labels (0.672) for predicting EGFR mutation status, but the difference was not statistically significant ( P>0.05). The combined model had the highest AUC value for predicting EGFR mutation status of lung adenocarcinoma in both the training and test sets and was significantly better than the clinical model (training set: Z=6.52, P<0.001; test set: Z=2.31, P=0.021). Interpretability analysis revealed that CT peritumoral radiomics features were correlated with CT shape features, and there were significant differences in CT peritumoral features between different EGFR mutation statuses. Conclusions:The value of CT peritumoral labels is superior to that of CT intratumoral labels in predicting EGFR mutation status in lung adenocarcinoma. The predictive performance of the model can be improved by combining PET-CT intratumoral and peritumoral radiomics, clinical features, and CT semantic features.

Objective To analyze the epidemiological characteristics of population-based cohort of patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in Lingnan area,and to study the related influencing factors in the onset and progression of the disease. Methods A retrospective cohort study was used to collect data from people who underwent physical examination in the Eleventh People's Hospital of Guangzhou from May 2022 to December 2023. Data mainly included questionnaire surveys,physical examinations,and laboratory testing indicators. The 2022 was defined as the baseline to statistically analyze the occurrence and development of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in this population,and to analyze the related influencing factors of comorbidity and distribution of traditional Chinese medicine constitution in comorbidity population. Results Finally,a total of 26498 subjects were included,from which there were 359 patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes (comorbidity group),accounting for 1.4％ of the total. Among them,290 were male,accounting for 80.8％,which is much higher than female. The mean age was(61.6±9.5)years old,which was significantly higher than that of the non-comorbidity group. The cases of comorbidity group were mainly concentrated in the age group of 45-75 years old,and no cases were found in people under 35 years old. There were 293 patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes,whose proportion (81.6％) is much higher than that of other types. Significant differences between comorbidity group and non-comorbidity group were found in terms of gender,age,age distribution,height,body mass,body mass index (BMI),smoking,alcohol consumption,marital status,exercise,and dampness syndrome (P<0.05). About 1.0％ of population at the baselined converted from non-comorbidities or single disease to comorbidities. The proportion of newly diagnosed patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes is the highest,up to 68.9％. BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and exercise were the risk factors affecting the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes. A total of 264 cases of comorbidity group had finished evaluation of traditional Chinese medicine body constitutions. The proportion of balanced constitution was the highest (31.1％),followed by dampness-heat constitution (18.2％),yang-deficiency constitution (13.3％) and phlegm-dampness constitution (11.7％). Conclusion The incidence of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes is high in Lingnan area,which may be related to dampness constitution,BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and lack of exercise.

Objective:To investigate the clinical efficacy of humidified high flow nasal cannula oxygen inhalation (HFNC) versus conventional nasal cannula oxygen inhalation on hypoxemia after complex ventral hernia surgery in elderly patients.Methods:The retrospective cohort study was conducted. The clinical data of 80 elderly patients with hypoxemia after complex ventral hernia surgery who were admitted to Huadong Hospital Affiliated to Fudan University from January 2021 to June 2022 were collected. There were 44 males and 36 females, aged (74±7)years. Of the 80 patients, 40 cases undergoing HFNC were allocated into HFNC group, and 40 cases undergoing conventional nasal cannula oxygen inhalation were allocated into conventional group, respectively. Observation indicators: (1) postoperative blood gas analysis; (2) postoperative complications. 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), and comparison between groups was conducted using the rank sum test. Count data were represented as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Repeated measurement data were analyzed using the repeated ANOVA. Results:(1) Postoperative blood gas analysis. Before surgery and at 12 hours, 24 hours, 3 days after surgery, the partial pressure of blood oxygen was (13.5±2.3)kPa, (13.4±3.2)kPa, (13.8±2.3)kPa, (13.7±2.0)kPa for the HFNC group, and (12.7±2.1)kPa, (12.9±2.4)kPa, (12.3±2.5)kPa, (13.9±2.1) kPa for the conventional group. The partial pressure of carbon dioxide was (5.6±0.7)kPa, (5.0±0.6)kPa, (4.7±0.6)kPa, (4.9±0.6)kPa for the HFNC group, and (5.6±0.6)kPa, (4.4±0.8)kPa, (5.0±4.8)kPa, (5.1±1.1)kPa for the conventional group. The saturation of blood oxygen was 97.8%±2.2%, 98.1%±2.1%, 98.9%±1.8%, 99.2%±2.0% for the HFNC group, and 97.8%±3.1%, 97.8%±2.1%, 99.0%±1.5%, 98.8%±2.0% for the conventional group. The oxygenation index was 259±28, 300±45, 352±46, 353±57 for the HFNC group, and 262±29, 297±54, 304±63, 345±53 for the conventional group, respectively. There was a significant difference in the interven-tion effect of partial pressure of blood oxygen between the two groups ( Fgroup=4.09, P<0.05) and no significant difference in the time effect or interaction effect ( Ftime=2.37, Finteraction=1.71, P>0.05). There were significant differences in the time effect and interaction effect of partial pressure of carbon dioxide between the two groups ( Ftime=7.23, Finteraction=13.21, P<0.05) and no significant difference in the intervention effect ( Fgroup=1.02, P>0.05). There was a significant difference in the time effect of saturation of blood oxygen between the two groups ( Ftime=5.54, P<0.05) and no significant difference in the intervention effect or interaction effect ( Fgroup=1.78, Finteraction=0.46, P>0.05). There were signifi-cant differences in the intervention effect, time effect, interaction effect of oxygenation index between the two groups ( Fgroup=8.21, Ftime=42.07, Finteraction=3.49, P<0.05). (2) Postoperative complications. The time in intensive care unit and cases with pulmonary infection were 3(3,3)days and 3 for the HFNC group, versus 6(5,7)days and 10 for the conventional group, showing significant differences between the two groups ( Z=27.50, χ2=4.50, P<0.05). Cases with atelectasis and endotrachead intubation were 0 and 1 for the HFNC group, versus 4 and 7 for the conventional group, showing no significant difference between the two groups ( P>0.05). There was no death in either group. Conclusion:Humidified high flow oxygen inhalation has certain advantages over conventional nasal cannula oxygen inhalation in improving partial pressure of blood oxygen and oxygenation index after complex ventral hernia surgery in elderly patients.