General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Objective:To investigate the protective effect of myrislignan（MRL）on concanavalin A（Con A）-induced autoimmune hepatitis（AIH）.Methods:C57BL/6J mice were divided into the following groups using a random number table，with five mice in each group：control group，MRL group，model group（Con A group），and MRL pretreatment group（MRL+Con A group）. MRL was injected intraperitoneally at a dose of 30 μg/g；3 h after pretreatment，Con A（18 μg/g）was administrated by intravenous injection；mouse livers and serum samples were collected 12 h after injection for measuring serum transaminase levels and liver cell apoptosis. The mRNA and protein expression levels of IL-6，IL-12，and TNF-α were measured using qRT-PCR and ELISA. Flow cytometry was performed to detect the proportion and activation status of macrophages in liver tissues. Bone marrow-derived macrophages（BMDMs）were isolated and induced in vitro to analyze the regulatory effect of MRL on macrophages. One-way analysis of variance was used to compare the differences in various indicators among groups. Results:Compared with the Con A group，MRL（30 μg/g）pretreatment significantly reduced alanine aminotransferase（ P<0.05）and aspartate transaminase（ P<0.01）levels，attenuated liver oxidative stress（increased superoxide dismutase activity，while decreased levels of malondialdehyde and myeloperoxidase；all P<0.05），and suppressed hepatocyte apoptosis（ P<0.01）. Both in vivo and in vitro experiments confirmed that MRL（30 μg/g）could reduce the proportion of M1 macrophages（ in vivo： P<0.05； in vitro：all P<0.001）and inhibit macrophage activation（ in vivo： P<0.01； in vitro：all P<0.05）. Conclusion:MRL effectively prevents Con A-induced autoimmune hepatitis by inhibiting liver cell apoptosis，attenuating liver oxidative stress，suppressing M1 macrophage polarization，and reducing inflammatory cytokine expression.

Objective To compare the value of high-field strength MRI half-Fourier single shot turbo spin-echo(HASTE)sequence with high-frequency color Doppler ultrasound for the diagnosis of placenta previa combined with placenta accreta.Methods A total of 116 pregnant women with suspected high-risk placenta previa and placenta accreta who underwent cesarean section at The No.2 Hospital of Baoding from December 2019 to December 2022 were selected as research objects.All parturients took examinations of ultrasound and high-field MRI before surgery.Pathological diagnosis after cesarean section was used as the gold standard for analysis of the consistency between MRI and ultrasound results and pathological results.The value of HASTE sequence and high-frequency ultrasound in diagnosing placenta accreta was compared.Results Pathological results confirmed that 86 patients had high-risk placenta previa and placenta accreta.The positive predictive values of ultrasound,MRI,and ultrasound+MRI in diagnosis of high-risk placenta previa combined with placenta accreta were 93.51%,97.62%,and 98.81%,respectively.The negative predictive values were 64.10%,87.50%,and 90.63%,respectively.The accuracies were 83.62%,94.83%,and 96.55%,respectively.The sensitivities were 83.72%,95.35%,and 96.51%,respectively.The specificities were 83.33%,93.33%,and 96.67%,respectively.The Kappa values for consistency were 0.611,0.868,and 0.912,respectively.The accuracy of MRI in diagnosis of high-risk placenta previa combined with placenta accreta was higher than that of ultrasound(P<0.05).Conclusion 3.0 T MRI HASTE sequence has greater efficacy and higher accuracy in diagnosis of high-risk placenta previa combined with placenta accreta.

Objective:This study aimed to propose an innovative modular surgical technique and explore its safety and application value in laparoscopic total gastrectomy combined with spleen-preserving hilar lymphadenectomy for advanced proximal gastric cancer invading the greater curvature.Methods:A retrospective collection was conducted on 34 patients with proximal gastric cancer invading the greater curvature who underwent laparoscopic total gastrectomy combined with spleen-preserving hilar lymphadenectomy in the same center from October 2020 to December 2022. The technical key points, precautions and crucial steps of the modular surgical technique were summarized, and the Clinical indicators were analyzed.Results:All 34 patients successfully completed the operation under laparoscopy without conversion to open surgery. The average operation duration was 151.9±4.1 minutes, and the duration of splenic hilar lymphadenectomy was 12.9±1.5 minutes. The median intraoperative blood loss was 50(20, 50) ml, and the blood loss during splenic hilar lymphadenectomy was 5 (2, 5) ml. The median number of harvested lymph nodes was 32.0 (23.5,39.5), and the number of submitted No.10 lymph nodes was 3 (2, 4). The metastasis rate of No.10 lymph nodes was 20.6% (7/34). No patient had intraoperative complications. During the postoperative hospital stay, one patient had incision infection (Clavien-Dindo I), and one patient had pulmonary infection (Clavien-Dindo II). The time for the first postoperative feeding was 3 (2, 5) days, the time for the first postoperative flatus was 2 (2,3) days, the time for the first postoperative defecation was 3 (3, 4) days, the total postoperative drainage volume was 1047.5 (607.5,1397.5) mL, the time for postoperative drainage tube removal was 7 (6, 9) days, and the length of postoperative hospital stay was 7.0 (6.0, 9.5) days.Conclusions:The application of the innovative modular surgical technique in laparoscopic total gastrectomy combined with spleen-preserving hilar lymphadenectomy can simplify surgical process and enable safe, precise and comprehensive dissection of splenic hilar lymph nodes.

Objective:This study aimed to propose an innovative modular surgical technique and explore its safety and application value in laparoscopic total gastrectomy combined with spleen-preserving hilar lymphadenectomy for advanced proximal gastric cancer invading the greater curvature.Methods:A retrospective collection was conducted on 34 patients with proximal gastric cancer invading the greater curvature who underwent laparoscopic total gastrectomy combined with spleen-preserving hilar lymphadenectomy in the same center from October 2020 to December 2022. The technical key points, precautions and crucial steps of the modular surgical technique were summarized, and the Clinical indicators were analyzed.Results:All 34 patients successfully completed the operation under laparoscopy without conversion to open surgery. The average operation duration was 151.9±4.1 minutes, and the duration of splenic hilar lymphadenectomy was 12.9±1.5 minutes. The median intraoperative blood loss was 50(20, 50) ml, and the blood loss during splenic hilar lymphadenectomy was 5 (2, 5) ml. The median number of harvested lymph nodes was 32.0 (23.5,39.5), and the number of submitted No.10 lymph nodes was 3 (2, 4). The metastasis rate of No.10 lymph nodes was 20.6% (7/34). No patient had intraoperative complications. During the postoperative hospital stay, one patient had incision infection (Clavien-Dindo I), and one patient had pulmonary infection (Clavien-Dindo II). The time for the first postoperative feeding was 3 (2, 5) days, the time for the first postoperative flatus was 2 (2,3) days, the time for the first postoperative defecation was 3 (3, 4) days, the total postoperative drainage volume was 1047.5 (607.5,1397.5) mL, the time for postoperative drainage tube removal was 7 (6, 9) days, and the length of postoperative hospital stay was 7.0 (6.0, 9.5) days.Conclusions:The application of the innovative modular surgical technique in laparoscopic total gastrectomy combined with spleen-preserving hilar lymphadenectomy can simplify surgical process and enable safe, precise and comprehensive dissection of splenic hilar lymph nodes.

Objective:To investigate the protective effect of myrislignan（MRL）on concanavalin A（Con A）-induced autoimmune hepatitis（AIH）.Methods:C57BL/6J mice were divided into the following groups using a random number table，with five mice in each group：control group，MRL group，model group（Con A group），and MRL pretreatment group（MRL+Con A group）. MRL was injected intraperitoneally at a dose of 30 μg/g；3 h after pretreatment，Con A（18 μg/g）was administrated by intravenous injection；mouse livers and serum samples were collected 12 h after injection for measuring serum transaminase levels and liver cell apoptosis. The mRNA and protein expression levels of IL-6，IL-12，and TNF-α were measured using qRT-PCR and ELISA. Flow cytometry was performed to detect the proportion and activation status of macrophages in liver tissues. Bone marrow-derived macrophages（BMDMs）were isolated and induced in vitro to analyze the regulatory effect of MRL on macrophages. One-way analysis of variance was used to compare the differences in various indicators among groups. Results:Compared with the Con A group，MRL（30 μg/g）pretreatment significantly reduced alanine aminotransferase（ P<0.05）and aspartate transaminase（ P<0.01）levels，attenuated liver oxidative stress（increased superoxide dismutase activity，while decreased levels of malondialdehyde and myeloperoxidase；all P<0.05），and suppressed hepatocyte apoptosis（ P<0.01）. Both in vivo and in vitro experiments confirmed that MRL（30 μg/g）could reduce the proportion of M1 macrophages（ in vivo： P<0.05； in vitro：all P<0.001）and inhibit macrophage activation（ in vivo： P<0.01； in vitro：all P<0.05）. Conclusion:MRL effectively prevents Con A-induced autoimmune hepatitis by inhibiting liver cell apoptosis，attenuating liver oxidative stress，suppressing M1 macrophage polarization，and reducing inflammatory cytokine expression.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective:To investigate the relationship between the cerebral small vascular disease (CSVD) total burden and the imaging markers and the degree of unilateral middle cerebral artery (MCA) stenosis.Methods:The study was a cross-sectional study. Clinical and imaging data of patients with chronic unilateral MCA stenosis who underwent multimodal MRI from October 2015 to January 2019 in the First Medical Center of PLA General Hospital were retrospectively analyzed. A total of 261 patients were included, 187 males and 74 females. According to the degree of MCA stenosis, the patients were divided into 102 cases in severe stenosis-occlusion group (stenosis degree ≥70%) and 159 cases in mild-moderate stenosis group (stenosis degree <70%). CSVD imaging marker scores (including white matter hyperintensity, perivascular space, cerebral microbleed, and lacune of presumed vascular origin) were assessed according to the ?standards for reporting vascular changes on neuroimaging 1 in the 2 groups, and the CSVD total burden score was calculated. Mann-Whitney U test was used to compare the indicators between the two groups, and the CSVD total burden score and imaging marker scores were ultimately included in a multifactorial binary logistic regression to assess the association of CSVD imaging markers with severe stenosis-occlusion of the MCA after adjusting for vascular risk factors (age, gender, drinking, smoking, hypertension, hyperlipidemia, atrial fibrillation and coronary heart disease). Results:There were significant differences in the CSVD total burden, centrum semiovale perivascular space and lacune of presumed vascular origin score between the mild-to-moderate stenosis group and the severe stenosis-occlusion group (all P<0.05), and none of the differences in the remaining imaging marker scores were statistically significant (all P>0.05). Multivariate binary logistics regression analysis showed CSVD total burden score ( OR=1.300, 95% CI 1.047-1.613, P=0.017), centrum semiovale perivascular space score ( OR=2.099, 95% CI 1.540-2.860, P<0.001) and lacune of presumed vascular origin score ( OR=2.609, 95% CI 1.294-5.261, P=0.007) were independent associated with severe stenosis-occlusion of MCA. Conclusion:The higher CSVD total burden score, centrum semiovale perivascular space score and lacune of presumed vascular origin score are associated with severe stenosis-occlusion of MCA.