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 compare the accuracy of the original-mirror alignment algorithm and a landmark-indepen-dent method in constructing the midsagittal plane(MSP)of the cone beam computed tomography in patients with facial deformities,so as to provide a theoretical basis for symmetric analysis.Methods The study was approved by the hospi-tal ethics committee.Cone beam computed tomography data of 30 patients with facial deformities were obtained,and the output was saved in DICOM format.The scan data were imported into Mimics 21.0;after segmentation,three-dimension-al(3D)skull models were reconstructed.Furthermore,the 3D scan data of skulls were transformed into mirror skull models using Geomagic Studio 2014 reverse engineering software.The MSP of each skull was generated using both the original-mirror alignment algorithm and the landmark-independent method.Original-mirror alignment algorithm:the original skull model and its mirror model were combined,and the new data to calculate the MSP(S1)of the original data in Geomagic Studio 2014 were obtained.Landmark-independent method:the following anatomical landmarks were deter-mined using Mimics 21.0:nasion(N),crista galli(CG),sella(S),basion(Ba),vomer(V),posterior nasal spine(PNS),in-cisive foramen(IF),and anterior nasal spine(ANS).The MSP(S2)of best fit was then found by minimizing the mean square distance of these eight anatomical landmarks to a plane in Geomagic Studio 2014.The results of the S1 and S2 models constructed using the original-mirror alignment algorithm and the landmark-independent method,respectively,were scored subjectively by five senior maxillofacial surgeons,and a paired t-test was performed for the two groups.The internal consistency analysis was performed based on secondary experiments to verify the repeatability of the expert evaluation method.Results The average scores of the S1 and S2 models were 65.73 and 75.90,respectively.The aver-age score of the model constructed using the landmark-independent method was significantly higher than that of the model constructed using the original-mirror alignment algorithm(P＜0.01).Furthermore,the results of the internal con-sistency analysis showed that the expert evaluation method had good reliability and validity.Conclusion In patients with facial deformities,the MSP constructed using the landmark-independent method is superior to that constructed us-ing the original-mirror alignment algorithm.This study provides a theoretical basis for maxillofacial symmetry analysis in clinical settings and is clinically feasible.

Objective:Ventricular septal defect(VSD)is a prevalent congenital cardiac anomaly.By enhancing the occluder design and optimizing procedural approaches,the indications for VSD closure can be broadened while minimizing associated complications.The utilization of fully biodegradable occluder holds promising potential in resolving conduction block issues encountered during VSD closure.This study aims to compare the results of the fully biodegradable occluder with the metal occluder in transoesophageal echocardiography-guided VSD closure via lower sternal level minor incision at the interim follow-up,and to find risk factors for the occurrence of electrocardiographic and valvular abnormalities postoperatively. Methods:We reviewed the postoperative and 3-year follow-up data of all patients who underwent the randomized controlled study of VSD closure from January 1 to November 7,2019 in the Second Xiangya Hospital of Central South University.The safety and efficacy of the procedure were assessed and compared between the 2 groups by electrocardiogram and echocardiography results,and the risk factors for the occurrence of postoperative electrocardiogram and valve abnormalities were studied with Logistic regression analysis. Results:Twelve and fifteen patients underwent VSD closure with the metallic occluder and the fully biodegradable occluder,respectively.All patients survived during the follow-up period without major complications such as atrioventricular block,significant residual shunt,too rapid absorption of the occluder,and significant valvular regurgitation.There were no significant differences in the results of electrocardiograph and color Doppler ultrasonography the metal occluder group and the fully biodegradable occluder group 1,2,and 3 years after operation(all P>0.05).The size of the occluder were risk factors for tricuspid regurgitation at 2 and 3 years postoperatively,and the difference between the occluder size and the VSD defect size were risk factors for tricuspid regurgitation at 2 years postoperatively(P<0.05). Conclusion:This study adequately demonstrates the safety and efficacy of fully biodegradable occluders in small VSD closure and shows the same postoperative effects as conventional nitinol occluders.

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.