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*

Medication reconciliation plays a key role in improving patient medication safety,reducing inappropriate polypharmacy,and promoting the high-quality development of pharmaceutical services.Compared to advanced international guidelines,China's medication reconciliation service standards have deficiencies in areas such as definition and process design,and multidisciplinary team building.There is a need to establish a comprehensive medication reconciliation effect evaluation index system,develop pharmacist-led multidisciplinary teams,promote the advancement of artificial intelligence and big data technologies,and strengthen outpatient and community medication reconciliation coverage,thereby contributing to the high-quality development of pharmaceutical services in China.

Medication reconciliation plays a key role in improving patient medication safety,reducing inappropriate polypharmacy,and promoting the high-quality development of pharmaceutical services.Compared to advanced international guidelines,China's medication reconciliation service standards have deficiencies in areas such as definition and process design,and multidisciplinary team building.There is a need to establish a comprehensive medication reconciliation effect evaluation index system,develop pharmacist-led multidisciplinary teams,promote the advancement of artificial intelligence and big data technologies,and strengthen outpatient and community medication reconciliation coverage,thereby contributing to the high-quality development of pharmaceutical services in China.

AIM:To research the effects of cyti-dine deaminase(CDA)C435T polymorphism on the long-term effectiveness of gemcitabine in non-small cell lung cancer(NSCLC).METHODS:Enrolled 145 NSCLC patients received gemcitabine-platinum regiments at the Affiliated Hospital of Xuzhou Med-ical University from August 2016 to February 2019,characteristics recorded such as:age,gender,path-ological type,clinical stage(Ⅰ-ⅢA/ⅢB-Ⅳ)and so on.Followed-up and evaluated according to RECIST1.1,the disease-free survival(DFS),progression-free survival(PFS)and overall survival(OS)was study endpoint.Cases were categorized into wild-type CC and mutant CT/TT group.Kaplan-Meier method and log-rank test were utilized to analyze the rela-tionship between CDA C435T and DFS/PFS/OS.A cox model was implemented to analyze the prog-nostic factors.RESULTS:In stage Ⅰ-ⅢA,median DFS of CT/TT compared with CC was not obvious(16.8 vs.35.7 months,P=0.294),same in median OS(54.3 vs.81.9 months,P=0.256).In stage ⅢB-Ⅳ,the median PFS in CT/TT was longer than CC(10.4 vs.5.0 months,P=0.009),the median OS was undiffer-entiated(16.2 vs.24.3 months,P=0.087).No differ-ence of overall median OS in CC and CT/TT geno-types was seen(21.5 months vs.25.3 months,P=0.077).Cox regression model showed CDA C435T polymorphism was an independent factor of PFS in stage ⅢB-Ⅳ(P=0.019).CONCLUSION:CDA C435T polymorphism shows a function as a prediction in-fluencing PFS of gemcitabine in ⅢB-Ⅳ NSCLC,CT/TT genotype is significantly prolonged.

AIM:To research the effects of cyti-dine deaminase(CDA)C435T polymorphism on the long-term effectiveness of gemcitabine in non-small cell lung cancer(NSCLC).METHODS:Enrolled 145 NSCLC patients received gemcitabine-platinum regiments at the Affiliated Hospital of Xuzhou Med-ical University from August 2016 to February 2019,characteristics recorded such as:age,gender,path-ological type,clinical stage(Ⅰ-ⅢA/ⅢB-Ⅳ)and so on.Followed-up and evaluated according to RECIST1.1,the disease-free survival(DFS),progression-free survival(PFS)and overall survival(OS)was study endpoint.Cases were categorized into wild-type CC and mutant CT/TT group.Kaplan-Meier method and log-rank test were utilized to analyze the rela-tionship between CDA C435T and DFS/PFS/OS.A cox model was implemented to analyze the prog-nostic factors.RESULTS:In stage Ⅰ-ⅢA,median DFS of CT/TT compared with CC was not obvious(16.8 vs.35.7 months,P=0.294),same in median OS(54.3 vs.81.9 months,P=0.256).In stage ⅢB-Ⅳ,the median PFS in CT/TT was longer than CC(10.4 vs.5.0 months,P=0.009),the median OS was undiffer-entiated(16.2 vs.24.3 months,P=0.087).No differ-ence of overall median OS in CC and CT/TT geno-types was seen(21.5 months vs.25.3 months,P=0.077).Cox regression model showed CDA C435T polymorphism was an independent factor of PFS in stage ⅢB-Ⅳ(P=0.019).CONCLUSION:CDA C435T polymorphism shows a function as a prediction in-fluencing PFS of gemcitabine in ⅢB-Ⅳ NSCLC,CT/TT genotype is significantly prolonged.

Objective:To establish a nomogram to predict overall survival(OS)of Uterine carcinosarcoma(UCS)patients.Methods:A total of 2635 UCS patients were selected from the Surveillance,Epidemiology and End Results(SEER)database between 2000 and 2020.The patients were randomly divided into a training cohort and a validation cohort in a 7∶3 ratio.Univariate Cox regression analysis,Lasso regression and multivariate Cox analysis was conducted to screen for independent risk factors affecting OS in UCS patients.We established a no-mogram for predicting the 1-and 3-year OS of UCS patients and evaluate the discrimination and calibration of the nomogram using receiver operating characteristic curve(ROC),calibration plots and decision curve analysis(DCA).According to the nomogram scores,patients were divided into low,medium,and high-risk groups and compared with the International Federation of Gynecology and Obstetrics(FIGO)staging system.Results:Age,race,tumor size,tumor stage,surgery,radiotherapy,chemotherapy and lymph node metastasis were identified as independent prognostic factors affecting patient OS(P＜0.05),and the above eight key variables were selected to establish the nomogram for predicting 1-and 3-year OS in UCS patients.The C-index and the area under the ROC curve(AUC)values of both the training and validation cohorts were greater than 0.7,indicating good discriminative capabilities of the nomogram.The calibration curves showed high consistency between the predicted probability and actual survival results.Moreover,the DCA curves suggested the clinical utility and application value of the model were superior to those of the FIGO staging system.The total risk score of each patient was calculated ac-cording to the nomogram model.UCS patients were divided into the low-risk group(score＜80),middle-risk group(score 80-130),and high-risk group(score＞130).Kaplan-Meier survival analysis demonstrated that the nomo-gram had a good ability to identify high-risk individuals.Conclusions;The model is a useful tool for accurately predicting OS in UCS patients and can assist in making individualized interventions by providing valuable prognos-tic information.

Purpose: Molecular residual disease (MRD) is a promising biomarker in colorectal cancer (CRC) for prognosis and guiding treatment, while the whole-exome sequencing (WES) based tumor-informed assay is standard for evaluating MRD based on circulating tumor DNA (ctDNA). In this study, we assessed the feasibility of a fixed-panel for evaluating MRD in CRC. Materials and Methods: Seventy-five patients with resectable stage I-III CRC were enrolled. Tumor tissues obtained by surgery, and preoperative and postoperative day 7 blood samples were collected. The ctDNA was evaluated using the tumor-agnostic and tumor-informed fixed assays, as well as the WES-based and panel-based personalized assays in randomly selected patients. Results: The tumor-informed fixed assay had a higher preoperative positive rate than the tumor-agnostic assay (73.3% vs. 57.3%). The preoperative ctDNA status failed to predict disease-free survival (DFS) in either of the fixed assays, while the tumor-informed fixed assay-determined postoperative ctDNA positivity was significantly associated with worse DFS (hazard ratio [HR], 20.74; 95% confidence interval [CI], 7.19 to 59.83; p < 0.001), which was an independent predictor by multivariable analysis (HR, 28.57; 95% CI, 7.10 to 114.9; p < 0.001). Sub-cohort analysis indicated the WES-based personalized assay had the highest preoperative positive rate (95.1%). The two personalized assays and the tumor-informed fixed assay demonstrated same results in postoperative landmark (HR, 26.34; 95% CI, 6.01 to 115.57; p < 0.001), outperforming the tumor-agnostic fixed panel (HR, 3.04; 95% CI, 0.94 to 9.89; p=0.052). Conclusion Our study confirmed the prognostic value of the ctDNA positivity at postoperative day 7 by the tumor-informed fixed panel. The tumor-informed fixed panel may be a cost-effective method to evaluate MRD, which warrants further studies in future.

Bone formation and deposition are initiated by sensory nerve infiltration in adaptive bone remodeling.Here,we focused on the role of Semaphorin 3A(Sema3A),expressed by sensory nerves,in mechanical loads-induced bone formation and nerve withdrawal using orthodontic tooth movement(OTM)model.Firstly,bone formation was activated after the 3rd day of OTM,coinciding with a decrease in sensory nerves and an increase in pain threshold.Sema3A,rather than nerve growth factor(NGF),highly expressed in both trigeminal ganglion and the axons of periodontal ligament following the 3rd day of OTM.Moreover,in vitro mechanical loads upregulated Sema3A in neurons instead of in human periodontal ligament cells(hPDLCs)within 24 hours.Furthermore,exogenous Sema3A restored the suppressed alveolar bone formation and the osteogenic differentiation of hPDLCs induced by mechanical overload.Mechanistically,Sema3A prevented overstretching of F-actin induced by mechanical overload through ROCK2 pathway,maintaining mitochondrial dynamics as mitochondrial fusion.Therefore,Sema3A exhibits dual therapeutic effects in mechanical loads-induced bone formation,both as a pain-sensitive analgesic and a positive regulator for bone formation.

Bone formation and deposition are initiated by sensory nerve infiltration in adaptive bone remodeling.Here,we focused on the role of Semaphorin 3A(Sema3A),expressed by sensory nerves,in mechanical loads-induced bone formation and nerve withdrawal using orthodontic tooth movement(OTM)model.Firstly,bone formation was activated after the 3rd day of OTM,coinciding with a decrease in sensory nerves and an increase in pain threshold.Sema3A,rather than nerve growth factor(NGF),highly expressed in both trigeminal ganglion and the axons of periodontal ligament following the 3rd day of OTM.Moreover,in vitro mechanical loads upregulated Sema3A in neurons instead of in human periodontal ligament cells(hPDLCs)within 24 hours.Furthermore,exogenous Sema3A restored the suppressed alveolar bone formation and the osteogenic differentiation of hPDLCs induced by mechanical overload.Mechanistically,Sema3A prevented overstretching of F-actin induced by mechanical overload through ROCK2 pathway,maintaining mitochondrial dynamics as mitochondrial fusion.Therefore,Sema3A exhibits dual therapeutic effects in mechanical loads-induced bone formation,both as a pain-sensitive analgesic and a positive regulator for bone formation.