OBJECTIVE To construct a risk prediction model for nonattainment plasma concentration of zonisamide in children with epilepsy， and to provide evidence for individualized dosing.METHODS Children with epilepsy who received standardized zonisamide treatment orally in Kunming Children’s Hospital were retrospectively selected as research subjects. Those treated from May 2022 to May 2024 were included in the modeling cohort， and those treated from June 2024 to January 2025 were included in the external validation cohort. According to plasma concentration， children were divided into therapeutic group and nonattainment group. Independent influencing factors for nonattainment plasma concentration of zonisamide were screened by collinearity diagnosis， univariate analysis， Lasso regression and random forest， based on which a nomogram risk prediction model was constructed and validated. Finally， the Shapley additive explanations （SHAP） method was used to interpret the features of the nomogram risk prediction model.RESULTS A total of 945 children with epilepsy were included in this study. There was no statistically significant difference in baseline data between the modeling cohort （531 cases） and the external validation cohort （414 cases） （ P ＞0.05）， indicating comparability. Through multi-stage feature screening， seven influencing factors were finally included to construct the prediction model， namely gender， age， dosage， aspartate transferase， total bilirubin， uric acid and vitamin D. The corrected area under the curve of the model was 0.799 in the modeling cohort and 0.762 in the external validation cohort， showing good calibration and clinical applicability. SHAP analysis showed that gender， dosage， total bilirubin， age and aspartate transferase were the top five important variables affecting model prediction.CONCLUSIONS The nomogram risk prediction model for nonattainment plasma concentration of zonisamide constructed in this study has stable predictive performance. Clinically， the risk of nonattainment plasma concentration can be quickly assessed by combining the child’s gender， age， dosage， liver and kidney function， and vitamin D， and the dosing regimen can be adjusted in time.

Objective:To compare the efficacy of O-arm navigation-assisted and conventional posterior cervical expansive open-door laminoplasty (CEOL) via the intermuscular approach in the treatment of cervical spinal cord injury without fracture-dislocation (CSCIWFD).Methods:A prospective cohort study was conducted to analyze the clinical data of 60 CSCIWFD patients who were admitted to Zhengzhou Orthopedic Hospital from May 2021 to May 2023, with compression at C3-C6. Patients were randomly divided into two groups: 30 patients underwent O-arm navigation-assisted intermuscular approach CEOL (navigation-assisted group) and 30 patients underwent conventional intermuscular approach CEOL (conventional surgery group). Surgical duration, intraoperative blood loss, postoperative drainage volume, and total surgical blood loss were compared between the two groups. At 2 weeks postoperatively, CT scan was performed to evaluate the accuracy of hinge or open-door position preparation of the surgical segments. Visual analogue scale (VAS) for neck and shoulder pain and Japanese Orthopedic Association (JOA) scores were compared between the two groups preoperatively, at 2 weeks, 6 months postoperatively, and at the last follow-up. Complication rates were also evaluated.Results:A total of 60 patients with CSCIWFD were included, comprising 35 males and 25 females, aged 35-77 years [(50.9±8.6)years]. All the patients were followed up for 12-24 months [(16.9±3.1)months]. The surgical duration and intraoperative blood loss were (121.6±17.9)minutes and (144.7±44.2)ml in the navigation-assisted group, shorter or less than (132.3±14.6)minutes and (178.7±48.7)ml in the conventional surgery group ( P<0.05). There were no statistically significant differences in postoperative drainage volume and total surgical blood loss between the two groups ( P>0.05). CT scan reviewed at 2 weeks postoperatively revealed that the accuracy rate of hinge and open-door position preparation of the surgical segments in the navigation-assisted group was 99.2% (119/120), significantly higher than 86.7% (104/120) in the conventional surgery group ( P<0.01). Before operation and at 2 weeks, 6 months postoperatively, and at the last follow-up, the VAS scores for neck and shoulder pain and JOA scores in the navigation-assisted group were 5.0(4.0, 7.0)points and (8.7±2.8)points, 3.0(2.0, 4.0)points and (10.2±2.5)points, 2.0(1.0, 2.0)points and (1 3.0±1.8)points, and 1.0(1.0, 2.0)points and (13.9±1.5)points respectively, while in the conventional surgery group, the VAS scores and JOA scores were 5.5(5.0, 6.3)points and (8.8±2.6)points, 4.0(3.0, 4.0)points and (10.4±2.5)points, 2.0(1.0, 3.0)points and (12.9±2.2)points, and 2.0(1.0, 2.0)points and (13.8±2.0)points ( P>0.05). Both groups showed improvement in neck and shoulder VAS scores and JOA scores at 2 weeks, 6 months postoperatively, and at the last follow-up, compared to preoperative scores ( P<0.05); further improvement was observed at 6 months postoperatively and at the last follow-up compared to that at 2 weeks postoperatively ( P<0.05). There were no significant differences between neck and shoulder VAS scores or JOA scores at 6 months postoperatively and at the last follow-up ( P>0.05). In the navigation-assisted group, 2 patients had axial neck-shoulder pain postoperatively, with a complication rate of 7% (2/30); while in the conventional surgery group, 7 patients had axial neck-shoulder pain and one patient developed cerebrospinal fluid leakage and low-pressure headache, with a complication rate of 27% (8/30) ( P<0.05). Conclusion:Compared to the conventional intermuscular approach, O-arm navigation-assisted intermuscular approach CEOL for CSCIWFD reduces surgical duration and intraoperative blood loss, improves the accuracy of hinge and open-door position preparation, and lowers complication rates.

Objective:To compare the efficacy of O-arm navigation-assisted and conventional posterior cervical expansive open-door laminoplasty (CEOL) via the intermuscular approach in the treatment of cervical spinal cord injury without fracture-dislocation (CSCIWFD).Methods:A prospective cohort study was conducted to analyze the clinical data of 60 CSCIWFD patients who were admitted to Zhengzhou Orthopedic Hospital from May 2021 to May 2023, with compression at C3-C6. Patients were randomly divided into two groups: 30 patients underwent O-arm navigation-assisted intermuscular approach CEOL (navigation-assisted group) and 30 patients underwent conventional intermuscular approach CEOL (conventional surgery group). Surgical duration, intraoperative blood loss, postoperative drainage volume, and total surgical blood loss were compared between the two groups. At 2 weeks postoperatively, CT scan was performed to evaluate the accuracy of hinge or open-door position preparation of the surgical segments. Visual analogue scale (VAS) for neck and shoulder pain and Japanese Orthopedic Association (JOA) scores were compared between the two groups preoperatively, at 2 weeks, 6 months postoperatively, and at the last follow-up. Complication rates were also evaluated.Results:A total of 60 patients with CSCIWFD were included, comprising 35 males and 25 females, aged 35-77 years [(50.9±8.6)years]. All the patients were followed up for 12-24 months [(16.9±3.1)months]. The surgical duration and intraoperative blood loss were (121.6±17.9)minutes and (144.7±44.2)ml in the navigation-assisted group, shorter or less than (132.3±14.6)minutes and (178.7±48.7)ml in the conventional surgery group ( P<0.05). There were no statistically significant differences in postoperative drainage volume and total surgical blood loss between the two groups ( P>0.05). CT scan reviewed at 2 weeks postoperatively revealed that the accuracy rate of hinge and open-door position preparation of the surgical segments in the navigation-assisted group was 99.2% (119/120), significantly higher than 86.7% (104/120) in the conventional surgery group ( P<0.01). Before operation and at 2 weeks, 6 months postoperatively, and at the last follow-up, the VAS scores for neck and shoulder pain and JOA scores in the navigation-assisted group were 5.0(4.0, 7.0)points and (8.7±2.8)points, 3.0(2.0, 4.0)points and (10.2±2.5)points, 2.0(1.0, 2.0)points and (1 3.0±1.8)points, and 1.0(1.0, 2.0)points and (13.9±1.5)points respectively, while in the conventional surgery group, the VAS scores and JOA scores were 5.5(5.0, 6.3)points and (8.8±2.6)points, 4.0(3.0, 4.0)points and (10.4±2.5)points, 2.0(1.0, 3.0)points and (12.9±2.2)points, and 2.0(1.0, 2.0)points and (13.8±2.0)points ( P>0.05). Both groups showed improvement in neck and shoulder VAS scores and JOA scores at 2 weeks, 6 months postoperatively, and at the last follow-up, compared to preoperative scores ( P<0.05); further improvement was observed at 6 months postoperatively and at the last follow-up compared to that at 2 weeks postoperatively ( P<0.05). There were no significant differences between neck and shoulder VAS scores or JOA scores at 6 months postoperatively and at the last follow-up ( P>0.05). In the navigation-assisted group, 2 patients had axial neck-shoulder pain postoperatively, with a complication rate of 7% (2/30); while in the conventional surgery group, 7 patients had axial neck-shoulder pain and one patient developed cerebrospinal fluid leakage and low-pressure headache, with a complication rate of 27% (8/30) ( P<0.05). Conclusion:Compared to the conventional intermuscular approach, O-arm navigation-assisted intermuscular approach CEOL for CSCIWFD reduces surgical duration and intraoperative blood loss, improves the accuracy of hinge and open-door position preparation, and lowers complication rates.

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

Objective:To explore the effects of aerobic exercise on learning and memory functions, hippocampal synaptic plasticity and the ADPN signaling pathway in diabetic rats.Methods:6-week-old male SD rats were randomly divided into a blank control group(NC group)and a high-fat diet group, and a rat model for diabetes was induced by feeding rats in the high-fat diet group with a high-fat diet combined with intraperitoneal instillation of low-dose streptozotocin(STZ)for 5 weeks.Rats in the high-fat diet group were further divided into a diabetic group(DC group)and a diabetic aerobic exercise group(DM group)after successful establishment of the model.Rats in the DM group were subjected to aerobic exercise for eight weeks and then the Morris water maze test was conducted to assess learning and memory functions, relevant serum markers were measured, Golgi staining was used to examine synaptic changes in the hippocampus, and Western blot was carried out to detect hippocampal protein expression levels of adiponectin(ADPN), AMP-activated protein kinase(AMPK), glucose transporter 4(GLUT4), synaptic plasticity-related protein synaptophysin(SYN)and postsynaptic density protein 95(PSD-95)for rats in each group.Results:Serum FBG and HBA1c in diabetic rats were markedly significantly decreased after 8 weeks of aerobic exercise( P<0.01), and serum ADPN and insulin were significantly increased after 8 weeks of aerobic exercise( P<0.05).When test results from the three groups of rats compared, the F value was 69.248 for FBG, 6.740 for INS, 7.017 for HBA1C and 14.315 for serum ADPN.The results of the water maze test and hippocampal Golgi staining showed that the escape latency of diabetic rats was highly significantly decreased after 8 weeks of aerobic exercise( P<0.01).The platform crossing times, the number of dendritic branches and the dendritic spine density in the hippocampal CA3 region of diabetic rats were significantly increased after 8 weeks of aerobic exercise( P<0.05).When results from the three groups of rats were compared, the F value was 13.934 for escape latency, 5.864 for platform crossing times, 9.307 and 6.734 for the number of dendritic branches and the density of dendritic spine in hippocampal CA3 region.Hippocampal PSD-95, SYN, ADPN, p-AMPK, and GLUT4 protein expression levels of diabetic rats were significantly increased( P<0.05)after 8 weeks of aerobic exercise.When results from the three groups of rats were compared, the F value was 15.137 for SYN, 5.415 for PSD-95, 9.687 for ADPN, 27.761 for GLUT4, and 9.298 for p-AMPK. Conclusions:Eight weeks of aerobic exercise can improve the learning and memory functions of diabetic rats, and the mechanisms may be related to exercise-induced hippocampal ADPN/AMPK/GLUT4 signaling activation in rats, leading to enhanced synaptic plasticity in the hippocampus.

Objective To explore prescription medication rules and potential mechanism of traditional Chinese medicine(TCM)in the treatment of alcoholic liver disease(ALD)based on the technology of data mining and network pharmacology.Methods The prescriptions related to the treatment of ALD were retrieved in Chinese National Knowledge Infrastructure,Wanfang,Chinese Biomedical Literature and VIP databases.After the data were collated according to the filter criteria,IBM SPSS Statistics 27.0 and IBM SPSS Modeler 18 software were used to analyze the prescription rules and association rules.Then,the medication rules of TCM in the treatment of ALD were summarized,and the core drug combinations were obtained.Active ingredients in the core drug combinations for ALD and their targets were screened by network pharmacology.GO and KEGG analysis were performed on the main targets,and molecular docking technique was used to verify the binding ability of active ingredients to main targets.Results A total of 143 prescription for ALD were screened,involving 222 Chinese medicine,among which 28 high-frequency Chinese medicine were used with a frequency≥25 times.Eight core drug combinations were obtained by associations rule analysis.It has been found that there are 215 intersection targets between"Poria-Atractylodis macrocephalae Rhizoma-Hearba Artemisiae Scopariae"and ALD,including six core targets of AKT1,TNF,VEGFA,IL-1β,SRC,EGFR.One hundred and sixty-eight of signaling pathways are involved,including cancer pathways,PI3K/AKT signaling pathways,chemical carcinogenesis-reactive oxygen species,lipid and atherosclerosis,etc.Molecular docking results showed that the main active components including cerevisterol,genkwanin and demethoxycapillarisin had good binding ability to AKT1.Conclusion The main active ingredients in"Poria-Atractylodis macrocephalae Rhizoma-Hearba Artemisiae Scopariae"can participate in the regulation of key signaling pathways such as PI3K/AKT by acting on key target proteins(AKT1,TNF,and VEGFA).Subsequently,they play a role in inhibiting inflammatory response and apoptosis,slowing down liver fibrosis,and promoting hepatocyte repair.This study provides data support and theoretical guidance for the study of TCM in the treatment of ALD.

OBJECTIVE: To assess the validity and effectiveness of parameter estimation using a time-dependent Weibull proportional hazards model for survival analysis containing partly interval censored data and explore the impact of different covariates on the results of analysis. METHODS: We established a time-dependent Weibull proportional hazards model using the Weibull distribution as the baseline hazard function of the model which incorporated time-varying covariates. Maximum likelihood estimation was employed to estimate the model parameters, which were obtained by optimization of the likelihood function. RESULTS AND CONCLUSION: Numerical simulation results showed that with higher proportions of precise observations across different sample sizes and parameter settings, the proposed model resulted in improved accuracy of parameter estimation with coverage probabilities approximating the theoretical expectation of 95%. As the sample sizes increased, the parameter biases of the model tended to decrease. Experiments with empirical data further validated the effectiveness of the model. Compared with the failure time data for each precisely observed individual, additional interval-censored data helped to obtain more effective estimates of the regression parameters. Comparison with the Cox model that included time-varying covariates further demonstrated the effectiveness of the time-dependent Weibull proportional hazards model for parameter estimation in survival analysis with partly interval censored data.
Proportional Hazards Models ; Survival Analysis ; Likelihood Functions ; Humans ; Computer Simulation ; Time Factors

Objective:To investigate the factors associated with delay in anticoagulant therapy in patients with cerebral venous sinus thrombosis (CVST) and its effect on outcome.Methods:Patients with CVST admitted to Changhai Hospital, Naval Medical University from January 2010 to August 2021 were retrospectively enrolled. Patients were divided into early anticoagulation group and late anticoagulation group by the median time interval from first symptom to initiation of anticoagulation. The modified Rankin Scale was used for outcome assessment at 90 d after onset. 0-2 scores were defined as good outcome and 3-6 were defined as poor outcome. Demographic and clinical data were compared for the early versus late anticoagulation group and for the good versus poor outcome groups. Multivariable logistic regression was used to identify independent influencing factors of delay in anticoagulation and the correlation of delay in anticoagulation with poor outcome. Results:A total of 131 patients were included, their age was 40.07±15.11 years old, and 68 (51.91%) were male. Of these, 65 patients (49.62%) were in the early anticoagulation group and 14 (10.69%) were in the poor outcome group. Compared with the late anticoagulation group, the early anticoagulation group had a significantly higher proportion of patients with seizures and brain parenchymal damage as well as higher D-dimer levels on admission, while the proportion of patients with visual impairment/papilloedema was significantly lower (all P<0.05). Compared with the good outcome group, the poor outcome group had significantly higher proportions of patients with seizures, dyskinesia, impaired consciousness, low Glasgow Coma Scale score, and brain parenchymal damage as well as higher D-dimer, total cholesterol and low density lipoprotein cholesterol levels, sites of thrombus involvement were more common in the superior sagittal and straight sinuses, and significantly lower proportions of patients with headache and lower albumin levels on admission (all P<0.05). Multivariate logistic regression analysis showed that visual impairment/papilloedema (odds ratio [ OR] 0.119, 95% confidence interval [ CI] 0.030-0.473; P=0.002) and brain parenchymal damage ( OR 1.341, 95% CI 1.042-1.727; P=0.023) were independently associated with a delay in anticoagulation treatment, and a delay in anticoagulation treatment ( OR 6.102, 95% CI 1.185-30.504; P=0.030) and D-dimer level on admission ( OR 1.299, 95% CI 1.141-1.480; P<0.001) were the independent predictors of poor outcome in patients with CVST. Conclusions:Visual impairment/papilloedema and absence of brain parenchymal damage on cranial imaging are the independent risk factors for delay in anticoagulation in patients with CVST. The delay in anticoagulation is strongly associated with the poor outcome in patients with CVST.

Objective:To investigate the current application of colonoscopy at hospitals in China.Methods:From November 2019 to January 2020, an online questionnaire survey was conducted among gastroenterologists and colonoscopists in hospitals of different levels. The contents of questionnaire survey included basic information of colonoscopy at the respondent′s hospital, protocols and patient education of bowel preparation, implementation of colonoscopy quality control, and colonoscopists′ understanding of polypectomy techniques and post-polypectomy follow-up.Results:A total of 236 valid questionnaires were collected, involving 187 hospitals, and 143 (76.5%) had an annual operation capacity of more than 5 000 cases. In terms of bowel preparation, split-dosed polyethylene glycol electrolyte powder (PEG) was the most commonly used (60.4%, 113/187) and the most common volume of PEG was 3 L (67.4%, 126/187). Verbal (90.9%, 170/187) and written (79.7%, 149/187) instructions were given more often than other methods for patient education of bowel preparation. Antifoaming agent was routinely used in 124 (66.3%) hospitals. In terms of quality control, only 11.5% (20/174) hospitals implemented all four measures. In terms of polypectomy techniques, 98.1% (203/207) colonoscopists chose hot snare polypectomy or endoscopic mucosal resection for lesions of diameter>1 cm, while options varied for lesions of diameter<1 cm. The interval of follow-up after polypectomy recommended by colonoscopists was shorter than that by guidelines.Conclusion:Several problems are found in the survey in the application of colonoscopy in China, i. e., patient education of bowel preparation is not diversified; quality control of colonoscopy still needs to be strengthened; polypectomy techniques and follow-up after polypectomy need to be further standardized.

Objective:To establish an artificial intelligence (AI)-assisted colorectal polyps classification system (AI polyps system) by using clinical big data, and to conduct the clinical verification.Methods:From June 2018 to June 2019, the colonoscopy images of polyps from 16 participating research centers were prospectively collected. The basic information of the polyps (location, size, shape and pathological biopsy results) in colonoscopy images of colorectal polyps were marked by senior colonoscopist, and the outline of the polyp was circled for the development of the AI polyps system. Taking pathological biopsy results of polyps as the gold standard, the sensitivity, specificity, and positivity predictive value (PPV), negative predictive value (NPV) and accuracy of white light model, narrow band imaging (NBI) model, the combination of white light and NBI model and colonoscopists′ identification of polyps were calculated respectively. Paired McNemar test and Kappa test were used for statistical analysis. Results:A total of 15 441 qualified colonoscopy images were collected, including 9 109 images in white light model and 6 332 images in NBI model. At laboratory level, the sensitivity, specificity, PPV, NPV and accuracy of white light model and NBI model in the identification of the polyps were 90.3%, 98.3%, 89.8%, 98.4%, 97.2%, and 90.5%, 92.5%, 92.3%, 90.6%, 91.5%, respectively. In clinical verification phase, a total of 78 polyps of 56 patients with colorectal polyps were enrolled. The sensitivity, specificity, PPV, NPV and accuracy of the white light model and NBI model in the identification of polyps were 70.3%, 82.1%, 78.8%, 74.4%, 76.3%, and 78.4%, 87.2%, 85.3%, 81.0%, 82.9%, respectively. There were no statistically significant differences between the diagnostic results of colonoscopists, the white light model, the NBI model and the results of pathological results (all McNemar test, all P>0.05), but the consistency were general and the Kappa values were 0.632, 0.525 and 0.657, respectively (all P<0.01). The Kappa value of combination of the white light and NBI model and the pathological results was 0.575, however the consistency was general, but the difterence was statistically significant (McNemar test, P=0.004). Conclusions:The established AI polyps system has a certain role in assisting diagnosis, but the accuracy still needs to be improved.