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*

Geriatric oral health care encounters significant challenges with the increase in the proportion of older individuals. Age-related changes in the dentition, muscles, and joints result in a decline in objective masticatory function, subjective restoration requirements, and acceptability among the elderly population, with individual variations influenced by systemic health. Considering functional requirements, the adaptability of stomatognathic and systemic health conditions, health economics and other factors, the authors believe that it should not be limited to the conventional "one-to-one" strategy for replacing missing teeth in geriatric prosthodontics. There is an urgent need for a precise and adaptable restoration strategy that is more suitable for older individuals. The proposal of a new concept of functional tooth loss updates the minimal restoration standards for elderly patients and establishes the theory of age-friendly functional restoration. Based on the restoration strategy of functional tooth loss, this paper proposes a new concept termed "age-friendly functional restoration of the stomatognathic system", which integrates treatment considerations including endodontics, periodontology, mucosa, muscles, temporomandibular joint, and systemic health. Efforts should be made in four areas as follows. Firstly, the "assessment of accessible function" should be enhanced by considering the interrelationship between stomatognathic and systemic health. Secondly, the "evaluation of appropriate function" is supposed to be optimised in view of subjective needs and objective evaluation of the stomatognathic system. Moreover, the "formulation of treatment plans" needs to be accomplished with the aid of assistive technologies, such as artificial intelligence, to accurately exert appropriate functional restoration. Lastly, the "management and maintenance of health" is likely to be strengthened through follow-ups, propaganda and education, and preventive healthcare, so as to improve quality of life and ultimately achieve healthy ageing among older individuals.
Humans ; Tooth Loss/therapy* ; Aged ; Stomatognathic System ; Oral Health ; Dental Care for Aged ; Dental Restoration, Permanent/methods*

Objective To investigate the effect of transcutaneous electrical acupoint stimulation(TEAS)on emergence agitation(EA)in children undergoing selective posterior rhizotomy(SPR).Methods Forty-two children with cerebral palsy undergoing SPR were selected,20 males and 22 females,aged 6-12 years,BMI 13-24 kg/m2,ASA physical status Ⅰ or Ⅱ,randomly divided into two groups:TEAS group(group T)and control group(group C),21 children in each group.Children in group T re-ceived TEAS at the bilateral acupoints of Neiguan and Hegu from 30 minutes before anesthesia induction to the end of surgery.In group C,electrodes were placed on the same acupoints without electrical stimulation.All children in both groups received total intravenous anesthesia.HR and MAP were recorded at the time of entry,extubation,5,15,30 minutes after extubation.The consumption of remifentanil and propofol during the procedure were recorded.The time of operation and extubation were recorded.The Wong-Baker faces pain scale-revised(FPS-R)and the pediatric anesthesia emergence delirium(PAED)were recorded at 15 minutes after extubation,and the incidence of EA was assessed by PAED.While,the occurrence of post-operative nausea and vomiting(PONV)was recorded.Results Compared with that at the time of entry,HR at the time of extubation,5,15 minutes after extubation and MAP at the time of extubation,5,15,30 minutes after extubation in group C were significantly increased(P＜0.05),HR and MAP at the time of extubation,5,15 minutes after extubationin group T were significantly increased(P＜0.05).Compared with group C,HR was significantly slower and MAP was significantly lower in group T at the time of extuba-tion,5,15,30 minutes after extubation(P＜0.05).Compared with group C,the consumption of remifen-tanil during operation was reduced,the time of extubation was significantly shortened,the FPS-R and PAED were significantly decreased,and the incidence of EA were significantly reduced(P＜0.05).There were no significant differences in the time of operation,the consumption of propofol during operation and the inci-dence of PONV.Conclusion TEAS is beneficial to prevent the occurrence of EA in pediatric patients un-dergoing SPR,stabilize hemodynamics,reduce the dosage of opioids during surgery,reduce the postopera-tive pain,andaccelerate the time of anesthesia resuscitation.

In recent years,the rapid development of fascia plane block technique has played a cru-cial role in the development of multi-modal analgesic strategies in spinal surgery.Compared with traditional intraspinal anesthesia,fascia plane block has the advantages of simple operation,safety,good analgesic effect,no interference to intraoperative nerve monitoring and early postoperative inspection.In this artical,we reviewed the clinical application advances of fascia plane blocks commonly used in spinal surgery,such as transversal abdominis plane block(TAPB),thoracolumbar interfascial plane block(TLIPB),erector spinae plane block(ESPB),mid-point transverse process to pleura block(MTPB),multifidus plane block(MPB),and inter semispinal plane block(ISPB),in order to provide reference for multi-mode analgesia in spinal surgery.

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 To establish the quality standard of Triadica cochinchinensis and to perform the acute toxicity study. METHODS Appearance properties, powder microscopic identification, and thin-layer chromatography(TLC) identification were researched. The specific chromatogram was established by HPLC. The content of cadmium(Cd), lead(Pb), arsenic(As), copper(Cu), and mercury(Hg) was determined by inductively coupled plasma-mass spectrometry(ICP-MS). Acute toxicity was studied by maximum dose. RESULTS The outer skin of herbs was dark brown, and the inner surface was light yellow brown and fibrous. Besides, crystal sheath fiber was common, and calcium oxalate clusters arranges in rows. In the TLC diagram of the test product, the fluorescent spots of the same color were displayed at the corresponding position of the control product(scopoletin, isofraxidin). Five common peaks were calibrated in the characteristic map and the three characteristic peaks(scopoletin, isofraxidin, dimethylfraxetin) were recognized. The content of the measured heavy metal elements was lower than the national limit standard. The linear correlation coefficient was R2 > 0.999. The precision, stability, repetitive RSD were < 10%. The average recovery rate of the added sample was 80%−120%, and the RSD was < 10%. The maximum dose of the acute toxicity test was 184.09 g·kg−1. The 14 d internal body mass, food intake, organ-body ratios, the serum glutamic pyruvic transaminase, glutamic oxaloacetic transaminase, blood urea nitrogen, and creatinine were not significantly different by comparing with the normal controls. Therefore, no significant toxicity was observed. CONCLUSION The established standard can provide a reference for evaluating the quality of Triadica cochinchinensis. The heavy metal content of ten batches of medicinal materials is within the safe range. Acute toxicity test show that there is no obvious significant adverse teactions after oral administration, and the safe dose range is large, which can provide a reference for the subsequent development and utilization.

OBJECTIVE To observe the anti-inflammatory mechanism of Sanhuang gel on rat model of auricle acne and its possible mechanism with p38MAPK signaling pathway as the entry point. METHODS Sixty-two male Wistar rats were divided into blank group and modelling group. The modeling group replicated the experimental animal model of acne(application of 100% oleic acid+subcutaneous injection of Propionibacterium acnes), and 2 rats were randomly selected for HE staining after 21 days. The remaining rats were randomly divided into model group, positive control group(Vitamin A cream 1.48 g·d−1 ), Sanhuang gel high, medium and low-dose group(1.1, 0.568, 0.3 g·d−1 ). They were administered for 8 weeks, and observed on the 7, 14 and 28 day of treatment. The right auricle tissues were collected, and the histopathological changes were observed by HE stain. The mRNA expressions of p38MAPK, MKK3 and MKK6 were detected by RT-PCR. The protein expressions of MCP-1, HMGB1 and α-SMA in auricle tissues were detected by IHC and Western blotting. RESULTS Compared with blank group, the epidermis of auricular tissue in model group was severely keratinized, inflammatory cell infiltration was obvious, mRNA levels of p38MAPK, MKK3, MKK6 and protein expression levels of MCP-1, HMGB1 and α-SMA were increased(P<0.05). After drug therapy intervention, auricle apparent score at different time points in each treatment group was improved to varying degrees. The mRNA levels of p38MAPK, MKK3, MKK6 and protein levels of MCP-1, HMGB1 and α-SMA in Sanhuang gel high-dose and medium-dose groups and positive control group were decreased(P<0.05), while in Sanhuang gel low-dose group, the expressions of MKK3 mRNA and MCP-1, HMGB1 protein were decreased(P<0.05), the expression of p38MAPK, MKK6 mRNA and α-SMA protein decreased not significantly. CONCLUSION The mechanism of the effect of Sanhuang gel on the inflammatory response of rat compound acne animal model may be related to its intervention of p38MAPK protein feedback regulation signaling pathway and inhibition of MCP-1, HMGB1 and α-SMA 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.