Objectives: . Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model. Methods: . This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds. Results: . A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols. Conclusion . The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.

Objective This study conducted molecular biological identification of the viruses carried by Culex pipiens pallens specimens collected in Shunyi District, Beijing in 2023, and observed the changes in the infection rate of the viruses carried by Cx. pipiens pallens at different collection times. Methods Cx. pipiens pallens were collected using carbon dioxide mosquito traps. The mosquito samples were ground in batches and analyzed by molecular biology technologies. The virus infection rate at different collection times was analyzed statistically. Results 17 strains of Culex pipiens pallens densovirus(CppDNV)were identified from Cx. pipiens pallens samples collected in Shunyi District, Beijing, in 2023. The nucleotide sequence analysis of the virus genome coding region showed that CppDNV was a single-stranded DNA virus with a total length of 3 335 nt, encoding 2 non-structural proteins(NS1, NS2)and 1 capsid protein(VP). The nucleotide(amino acid)sequence lengths of the three proteins were 2 376 nt(791 aa),1 092 nt(363 aa)and 1 071 nt(356 aa), respectively. Phylogenetic analysis showed that CppDNV was located in genus Brevihamaparvovirus. Statistical analysis showed no significant difference in infection rates across collection times(χ2=4.429, P=0.194). Conclusions CppDNV was identified in Cx. pipiens pallens in Beijing, and it was stably maintained in this natural population.

Objective To investigate the practical effects of pediatric rapid sequence intubation(RSI)nursing coordination training based on the LSPPDM(learn,see,practice,prove,do,maintain)framework in order to provide evidence for optimizing pediatric RSI nursing training programs.Methods Nurses from the intensive care unit(ICU)of Children's Hospital,Fudan University during Feb 2023 and Jan 2024 were divided into the experimental group(n=35)and the control group(n=35)by block randomization.The experimental group received LSPPDM framework-based training,while the control group underwent conventional training with theoretical lectures and procedural demonstrations.Outcomes included training satisfaction,theoretical knowledge and procedural skill assessment scores,team collaboration compliance and RSI procedure time were compared between the two groups.Results The experimental group demonstrated significantly higher training satisfaction(123.80±2.04 vs.117.26±9.82,P<0.05),superior post-training theoretical knowledge and procedural skills(P<0.05),enhanced team collaboration compliance(P<0.05),and shorter RSI completion time(P<0.05)compared with the control group.Conclusion Pediatric RSI nursing coordination training based on the LSPPDM framework can effectively increase training satisfaction,promote theoretical and procedural skills and reduce completion time in nurses.

Objective To investigate the effect of Nde1 gene knockout on early neural development of zebrafish by visualizing the development of neural networks in zebrafish.Methods Transgenic zebrafish Tg(Nde1-/-;HuC:RFP+/-)was constructed by crossing Nde1-/-with Tg(HuC:RFP+/-).The HuC promoter was employed to drive the expression of red fluorescent protein in neurons,which allowing the visualization of zebrafish neural networks and tracking of neural development.Furthermore,by using Image J and Prism to compare the average fluorescence intensity of neurons and the expression level of fluorescent reporter proteins between Nde1 deficiency zebrafish and wild type zebrafish,the effect of Nde1 gene knockout on zebrafish neural development was analyzed.Results From 48 hours post-fertilization(hpf)to 7 days dpf,the average fluorescence intensity of red fluorescence expressed by trigeminal sensory neurons and spinal cord neurons in Nde1 deficiency zebrafish was lower than that in wild type zebrafish.RT-qPCR results also showed that the mRNA expression level of red fluorescent reporter protein in Nde1 deficiency zebrafish was significantly lower than that in the wild type zebrafish.Conclusion Nde1 gene deletion may lead to abnormal development of trigeminal sensory neurons and spinal cordneurons by affecting neural progenitor cell differentiation and increasing apoptosis.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To investigate the effect and mechanism of methyl oxofulnonone A(META)on high glucose(HG)-induced H9c2 cell injury.Methods H9c2 cells were divided into control group(normal culture),model group(55 mmol·L-1 glucose)and experimental-L,-M,-H groups(55 mmol·L-1 glucose+12.5,25.0,50.0 μmol·L-1 META).Cell viability was detected by cell counting kit-8;intracellular reactive oxygen species(ROS)level was detected by DCFH-DA fluorescent probe;intracellular adenosine triphosphate(ATP)content was detected by luciferase;and autophagy-related protein expression was detected by Western blotting.Results The optical density values of 72-hour cells in the control group,model group and experimental-M,-H groups were 0.91±0.03,0.61±0.01,0.69±0.02 and 0.72±0.03;the ROS levels were(40.75±1.53)％,(43.73±1.30)％,(30.87±1.27)％and(28.28±1.43)％;the ATP contents were(8.16±0.71),(4.03±0.29),(5.29±0.31)and(5.83±0.31)nmol·mg-1;the relative expression levels of autophagy-related gene 5 protein were 1.05±0.06,1.46±0.09,0.98±0.11 and 0.89±0.09;the relative expression levels of ubiquitin-binding protein were 1.05±0.10,0.55±0.13,0.89±0.04 and 0.98±0.04;the ratios of microtubule-associated protein 1 light chain 3 11/Ⅰ protein were 1.09±0.09,1.82±0.05,1.67±0.29 and 1.09±0.15,respectively.Among the above indicators,there were statistically significant differences between the model group and the control and experimental-M,-H groups(P＜0.05,P＜0.01).Conclusion META significantly ameliorates H9c2 cardiomyocyte damage caused by high glucose,ameliorates oxidative stress,protects mitochondrial respiration and inhibits autophagy.

Objective:To explore the genetic and clinical characteristics of epilepsy related with ATP6V1A gene heterozygous variants.Methods:A case series study was conducted. The clinical data of 10 children of epilepsy associated with ATP6V1A gene variants who were admitted to the Children′s Medical Center, Peking University First Hospital from January 2019 to December 2024 was collected. The characteristics of children′ gene variation, clinical phenotype, auxiliary examination results, treatment and prognosis were analyzed.Results:Among the 10 children, there were 4 boys and 6 girls. All 10 children with ATP6V1A gene variants were de novo heterozygous variants, including 1 case of mosaic variant. A total of 9 different variants were identified and 7 variants have not been reported previously. The age at epilepsy onset was 28 (9, 48) months. Five children experienced their first seizure as a fever induction. The types of epileptic seizures included focal seizures in 6 children, epileptic spasms in 5 children, tonic spasms and atonic seizures in 1 child respectively. Three children had 2 seizure types. Global developmental delays were exhibited in 8 children, 2 of whom manifested autism spectrum disorder phenotypes. Two children showed normal development. Electroencephalography revealed slowed background activity in 5 children. Interictal epileptiform discharges were recorded in 9 cases, including hypsarrhythmia, focal, multifocal or generalized discharges. Clinical seizures were captured in 4 children. Brain magnetic resonance imaging abnormalities were found in 4 children, including frontotemporal cortical dysplasia, prominent sulci, delayed myelination of white matter, dysplasia of the corpus callosum, bilateral ventricular enlargement, and cerebral atrophy. Five children were diagnosed with developmental and epileptic encephalopathy (DEE), and 4 of them were diagnosed with infantile epileptic spasms syndrome. At the last follow-up, the age was 78 (25, 120) months. Seizures were controlled in 6 children, while 4 children had uncontrolled seizures despite treatment with ≥3 anti-seizure medications. Conclusions:All children with ATP6V1A gene related epilepsy harbored de novo heterozygous missense variants, with few showing mosaic variants. Seizure onset age ranged widely from the neonatal period to childhood. The predominant seizure types were focal seizures and epileptic spasms. The phenotypic spectrum may exhibit DEE, while a minority maintain normal development.

OBJECTIVE To investigate the risk factors for biliary tract infection(BTI)after biliary drainage in pa-tients with obstructive jaundice(OJ)based on clinical characteristics and biliary drainage methods,and to con-struct and validate a nomogram model for risk prediction.METHODS A total of 168 patients with OJ treated in the Hepatobiliary Surgery Department of Ningbo Municipal Hospital of TCM from Jan.2020 to Jan.2025 were includ-ed as study subjects.They were divided into a non-infected group(n=97)and an infected group(n=71)based on the occurrence of BTI after biliary drainage.Lasso regression and logistic regression analysis were used to explore the risk factors for BTI after surgery in patients with OJ.The"rms"package in R programming language version 4.2.6 was used to construct the nomogram model,and decision curves,calibration curves and receiver operating characteristic(ROC)curves were plotted to evaluate the model's effectiveness,calibration and discrimination.RESULTS Diabetes history(OR=3.314),drainage method(percutaneous transhepatic cholangial drainage,OR=2.666),preoperative jaundice duration(OR=2.920),alkaline phosphatase(OR=1.064),total bilirubin(OR=1.028),NLR(OR=1.110)and high biliary obstruction(OR=4.770)were identified as risk factors for BTI after surgery in patients with OJ(P＜0.05).The importance of these risk factors,ranked by the feature_importances_function of the logistic regression model,was as follows:high biliary obstruction,drainage method,preoperative jaundice duration,diabetes history,NLR,total bilirubin and alkaline phosphatase.Based on these seven risk fac-tors,a nomogram model for predicting BTI risk after surgery in patients with OJ was constructed.The area under the ROC curve(AUC)of the model was 0.851,with a concordance index of 0.849.The decision curve suggested that the model had good predictive performance within a probability threshold range of 0.050 to 0.920.The calibra-tion curve of the model closely aligned with the ideal curve.CONCLUSIONS The risk factors for BTI after surger-y in patients with OJ include diabetes history,drainage method,preoperative jaundice duration,alkaline phospha-tase,total bilirubin,NLR and high biliary obstruction.The constructed nomogram model for predicting BTI after surgery in patients with OJ demonstrates good predictive performance.

Objective To explore the characteristics of gastric emptying in the whole process of drinking water for colonoscopy in the elderly,and to develop an elderly-friendly drinking water program,thereby improving the comfort and the quality of bowel preparation.Methods From April to September 2024,gastric ultrasound was used to monitor gastric emptying indicators in the whole process of drinking water for colonoscopy in the elderly,summa-rizing its physiological features.On this basis,in October 2024,through literature review and expert argumentation,a bowel preparation drinking water program that meets the characteristics of gastric emptying in the elderly was de-veloped.A convenience sample of 90 elderly patients scheduled for colonoscopy at 2 tertiary hospitals in Beijing was enrolled from November 2024 to January 2025.A non-concurrent controlled trial was conducted:an experimen-tal group from December 2024 to January 2025 received the new elderly-friendly drinking water program,while a control group in November 2024 followed the conventional program.Outcomes included drinking comfort assessed via Visual Analogue Scale(VAS),adverse events,total fluid intake volume and bowel preparation quality via Boston Bowel Preparation Scale(BBPS).Results The experimental group demonstrated superior VAS score(P＜0.05),bowel preparation quality(P＜0.05),total fluid intake(P＜0.05),and higher compliance with optimal stool consistency(P＜0.05),compared to the control group.The experimental group also exhibited a lower incidence of adverse events(P＜0.05).No significant difference was observed in total bowel preparation duration between 2 groups(P＞0.05).Conclusion The bowel preparation drinking water program based on the characteristics of gastric emptying in the elderly improved solution intake tolerance and bowel preparation quality,with practical implications for clinical implementation.