Objective:To explore the influence of non-motor symptoms on the change trajectory of early activities of daily living in patients with Parkinson disease, and to provide a reference for medical staff to implement intervention measures for people with low levels of activities of daily living in the preclinical stage.Methods:The longitudinal follow-up data of 431 patients with Parkinson disease in the Parkinson's progression Markers Initiative from baseline to five consecutive years after enrollment were selected by convenience sampling method in July 2024, including the scores of aceivities of daily living, the Rapid Eye Movement Sleep Behavioral Disorder Screening Questionnaire, etc. A latent class growth model classified change trajectory of activities of daily living, and the influencing factors were analyzed by univariate and binary Logistic regression.Results:Among the 431 patients, 260 were male and 171 were female, with an average age of (61.30 ± 9.60) years. The scores of activities of daily living of the patients at baseline, 12 months after enrollment, 36 months after enrollment, and 60 months after enrollment were (5.97 ± 4.30), (7.20 ± 4.61), (8.90 ± 5.60), and (10.57 ± 6.93) points, respectively. The model identified two types of trajectories: rapid decline in low activities of daily living group (25.3%, 109/431) and slow decline in lower activities of daily living group (74.7%, 322/431). The binary Logistic regression results showed that apathy ( OR=0.374, 95% CI 0.189-0.739), fatigue ( OR=0.261, 95% CI 0.138-0.495), University of Pennsylvania Smell Identification Test ( OR=1.039, 95% CI 1.005-1.074), the Rapid Eye Movement Sleep Behavioral Disorder Screening Questionnaire ( OR=0.880, 95% CI 0.795-0.973), and the gastrointestinal score of the Scales for Outcomes in PD-Autonomic ( OR=0.724, 95% CI 0.630-0.832) were independent influencing factors for the classification of the change trajectory of activities of daily living in patients with Parkinson disease (all P<0.05). Conclusions:Patients with Parkinson disease exhibit a decreasing trend in early activities of daily living, emphasizing the need for targeted interventions in those with fatigue, apathy, and high Rapid Eye Movement Sleep Behavioral Disorder Screening Questionnaire and Scales for Outcomes in Parkinson disease-Autonomic gastrointestinal scores to possibly decelerate disease advancement.

Based on CT scan data,a bionic model of lumbar spine injuries with high biofidelity is developed and validated through cadaver experiments.Decoupling the constraint system that affects occupants during collisions due to inertial forces and the subsequent pressure exerted by the seat upon returning to position,a simulated fall experiment is designed.The simulated outcomes are trained and predicted using deep learning algorithms,and the accuracy of the trained neural network prediction model is verified.Key parameters are analyzed for correlation using principal component analysis and cross-reverse methods.The results shows that the predicted lumbar spine injury model obtained from training has high reliability(R2>0.9).Comprehensive analysis reveals that after experiencing axial impact,the L4 vertebral body bears the highest impact load and can be used as a representative measure of lumbar spine injury.Among the environmental variables,the axial force on the L4 lumbar spine is mainly affected by torso mass and fall height,both of which have positive correlations.Torso mass,fall height,and posture angle all have positive effects on internal energy.Conversely,torso mass and fall height have negative correlations with stress.These research findings provide a scientific basis for further elucidating lumbar spine injury mechanisms in intelligent cockpit environments,devising corresponding safety protection measures,and evaluating occupant safety in automobiles.

Objective To investigate the predictive value of uric acid for cardiovascular events in the elderly patients with ACS.Methods An observational follow-up study was conducted on 3440 ACS inpatients and outpatients admitted in the Heart Center of Beijing Chaoyang Hospital and the First Medical Center of Chinese PLA General Hospital from June 2017 to October 2022.According to the occurrence of cardiovascular events,they were divided into a cardiovascular event group(529 patients)and a non-cardiovascular event group(2911 patients).Their clinical data were collected for Cox risk proportional regression analysis.Results The cardiovascular event group had significantly uric acid when compared with the non-cardiovascular event group(P＜0.01).Af-ter adjusting the traditional risk factors and plasma biomarkers,uric acid was still a significant predictor for clinical endpoints(HR=2.634,95％CI:1.870-3.744,P＜0.01)and for cardiovascu-lar events(HR=1.508,95％CI:1.357-1.660,P＜0.01).Furthermore,uric acid was significantly correlated with acute heart failure,cardiovascular death and all-cause death(P＜0.01).Conclusion Uric acid is a risk predictor for cardiovascular events in elderly ACS patients,and can provide ear-ly warning information and diagnostic value for acute cardiovascular events.

Objective:To explore the factors associated with the efficacy of high-frequency repetitive transcranial magnetic stimulation (rTMS) in the treatment of neuropathic pain (NP) following spinal cord injury (SCI).Methods:This was a retrospective study of 89 SCI survivors with NP receiving high-frequency rTMS. Those with a ≥30% reduction in their Numeric Rating Scales (NRS) scores after 2 weeks of treatment were termed Responders ( n=36), with the others classified as non-responders ( n=53). Demographic data (gender, education level, age), SCI characteristics (injury etiology, injury severity, neurological injury level, injury duration), NP characteristics (pain type, pain intensity, analgesic use), functional assessment (Modified Ashworth Scale score, Spinal Cord Independence Measure score, Modified Barthel Index score, American Spinal Injury Association motor/sensory score) were collected. Least absolute shrinkage and selection operator (LASSO) regression was used for variable selection, followed by binary logistic regression to identify factors associated with treatment efficacy. Results:Among the 89 patients, 36 (40.4%) were Responders to high-frequency rTMS. Binary logistic regression revealed that those with a cervical spinal cord injury and/or spasticity and women were more likely to respond to high-frequency rTMS.Conclusions:Female gender, cervical spinal cord injury, and spasticity are independent factors predicting rTMS efficacy in treating SCI, with spasticity demonstrating the strongest association.

Objective:To explore the factors associated with the efficacy of high-frequency repetitive transcranial magnetic stimulation (rTMS) in the treatment of neuropathic pain (NP) following spinal cord injury (SCI).Methods:This was a retrospective study of 89 SCI survivors with NP receiving high-frequency rTMS. Those with a ≥30% reduction in their Numeric Rating Scales (NRS) scores after 2 weeks of treatment were termed Responders ( n=36), with the others classified as non-responders ( n=53). Demographic data (gender, education level, age), SCI characteristics (injury etiology, injury severity, neurological injury level, injury duration), NP characteristics (pain type, pain intensity, analgesic use), functional assessment (Modified Ashworth Scale score, Spinal Cord Independence Measure score, Modified Barthel Index score, American Spinal Injury Association motor/sensory score) were collected. Least absolute shrinkage and selection operator (LASSO) regression was used for variable selection, followed by binary logistic regression to identify factors associated with treatment efficacy. Results:Among the 89 patients, 36 (40.4%) were Responders to high-frequency rTMS. Binary logistic regression revealed that those with a cervical spinal cord injury and/or spasticity and women were more likely to respond to high-frequency rTMS.Conclusions:Female gender, cervical spinal cord injury, and spasticity are independent factors predicting rTMS efficacy in treating SCI, with spasticity demonstrating the strongest association.

Objective:To understand the current status, research hotspots, and future trends in the field of retinoblastoma (RB).Methods:Using the Web of Science Core Collection SSCI and SCI-Expanded as data sources, relevant RB literature from January 2015 to November 2024 was retrieved. The bibliometric analysis software CiteSpace 6.2.R6 was employed to perform visual analyses of countries/regions, institutions, journals, authors, co-cited references, and keywords.Results:A total of 5 042 relevant publications were identified. Annual publication numbers in this field consistently exceeded 400, peaking at 565 in 2021. The United States contributed the highest number of publications, with 1 600 articles (31.73%). Among institutions, Harvard University ranked first with 167 publications (3.31%). Abramson DH of Memorial Sloan Kettering Cancer Center published the most papers (75). Nature (United Kingdom) received the highest citation count (2 349). The highest betweenness centrality was observed for the United States (0.14) among countries/regions, Shanghai Jiao Tong University (0.21) among institutions, and Berry JL of Children’s Hospital Los Angeles (0.21) at the author level. Co-citation and keyword analyses revealed that RB research hotspots are shifting from a focus on basic molecular mechanisms, such as the cell cycle and RB protein, toward advanced therapeutic strategies, such as intra-arterial chemotherapy and nanoparticle-based drug delivery. Emerging keywords such as complexity, chemoresistance and carboplatin indicate that future studies will focus on optimising diagnosis and treatment. Conclusions:From 2015 to 2024, RB research displayed a sustained growth trend, with the United States and its institutions and scholars contributing the most publications. The research focus has shifted from the exploration of molecular mechanisms to the optimization of precise treatment strategies, among which the application of nanotechnology and the resolution of drug resistance mechanisms will become key breakthrough directions.

Objective To evaluate the applicability and guideline concordance of the Chinese Society of Clinical Oncology(CSCO)arti-ficial intelligence(AI)system in clinical decision-making for colorectal cancer(CRC)patients,and to explore its feasibility in real-world clinical applications.Methods A total of 972 CRC patients diagnosed and treated at the Second Affiliated Hospital,Zhejiang University School of Medicine,from January 2010 to December 2021,were included.Patient data were analyzed by the CSCO AI system to gener-ate treatment decisions,and decision concordance was assessed by a blinded independent central review(BICR)panel.The applicability and guideline concordance rates of the CSCO AI system were calculated for different treatment stages,and a logistic regression model was used to analyze factors influencing the system's decision discrepancies with actual treatments.Results The overall applicability rate of the CSCO AI system was 96.2%,and the overall guideline concordance rate was 94.9%.In the adjuvant and palliative treatment stages,the system's applicability rates were 95.8%and 96.7%,respectively,and the guideline concordance rates were 95.0%and 94.9%,respective-ly.Multivariate logistic regression analysis showed that age≥65 years and high-risk stage Ⅱ treatment were significant factors affecting guideline concordance in the adjuvant treatment stage(both P<0.05).Conclusions The CSCO AI system demonstrated high applicability and guideline concordance in the adjuvant and palliative treatment stages for CRC.The system's clinical decision-making potential is sig-nificant,and it can be further optimized for specific clinical scenarios and promoted for use across various medical institutions.

Objective:To verify the prognostic value of perineural invasion and lymphovascular tumor embolus for patients with gastric cancer undergoing gastrectomy and postoperative chemotherapy, and establish a prognostic prediction nomogram model.Methods:According to 7∶3 radio, 781 gastric cancer patients were randomly divided into training cohort and internal validation cohort. One hundred fifty patients were utilized as the external validation cohort. Univariate and multivariate analysis were performed to evaluate the prognostic value of perineural invasion and lymphovascular tumor embolus, and construct the dynamic nomogram. The concordance index (C-index), net reclassification index and integrated discrimination improvement index, receiver operating characteristic curve, calibration curves and decision curve analysis were used to evaluate the nomogram.Results:Perineural invasion ( HR=1.486, 95% CI: 1.150-1.919, P<0.01) and lymphovascular tumor embolus ( HR=1.321, 95% CI: 1.030-1.693, P<0.05) were independent prognostic risk factors for patients with gastric cancer after gastrectomy and postoperative chemotherapy. C-index (training cohort: 0.734, internal validation cohort: 0.755, external validation cohort: 0.715), net reclassification index (training cohort: 0.228 for 3-year and 0.213 for 5-year OS prediction; internal validation cohort: 0.211 for 3-year and 0.279 for 5-year OS prediction; external validation cohort: 0.220 for 3-year and 0.440 for 5-year OS prediction) and integrated discrimination improvement index (training cohort: 0.051 for 3-year and 0.041 for 5-year OS prediction; internal validation cohort: 0.027 for 3-year and 0.036 for 5-year OS prediction; external validation cohort: 0.063 for 3-year and 0.153 for 5-year OS prediction) indicated that the nomogram performed better than the traditional TNM staging system ( P<0.05). Conclusions:Perineural invasion and lymphovascular tumor embolus are independent prognostic risk factors of gastric cancer patients after postoperative chemotherapy. The novel dynamic nomogram model based on perineural invasion and lymphovascular tumor embolus provides better assistance in evaluating prognosis of gastric cancer patients.

Objective:To investigate the safety and efficacy of the artery-first approach pancreaticoduo-denectomy (PD) combined with portal vein/superior mesenteric vein (PV/SMV) resection and reconstruction for pancreatic head malignancies.Methods:A retrospective analysis was conducted on 322 patients who underwent PD with PV/SMV resection and reconstruction at the Hepatobiliary Pancreatic Surgery Department of the First Hospital Affiliated to Naval Medical University between January 2016 and December 2022. Patients were divided into the artery-first approach PD group (AFA-PD group, n=165) and standard PD group (SPD group, n=157) based on surgical approach. Baseline characteristics, surgical outcomes, postoperative outcomes, pathological results and survival data were compared between two groups. Results:Compared to the SPD group, the AFA-PD group exhibited significantly reduced intraoperative blood loss (500 ml vs 600 ml), lower rates of obvious intraoperative blood loss (≥1 000 ml: 25.45% vs 40.13%), and decreased transfusion requirements (26.67% vs 52.87%). Postoperatively, the AFA-PD group demonstrated lower incidence of grade B/C pancreatic fistula (10.30% vs 19.75%) and higher textbook outcome achievement (78.79% vs 66.24%). Pathologically, the AFA-PD group achieved superior lymph node yield (20 nodes vs 18 nodes) and higher R 0 resection rates (79.39% vs 64.33%), particularly at the posterior pancreatic margin (96.97% vs 91.72%, P=0.040), SMA margin (92.07% vs 82.17%), and SMV margin (88.48% vs 78.98%). Multivariate logistic regression identified arterial invasion >180°, venous invasion >180°, lymph node metastasis, and the artery-first approach as independent predictors of R 0 resection. The AFA-PD group showed prolonged median survival (19.17 month vs 15.73 month). All aforementioned differences were statistically significant (all P value <0.05). Conclusions:The artery-first approach PD combined with PV/SMV resection and reconstruction is safe and effective for pancreatic head malignancies, significantly improving R 0 resection rates and patients' survival outcomes.

Objective:To compare the clinical efficacy of percutaneous endoscopic interlaminar discectomy (PEID) and posterior small incision microdiscectomy (MD) in the treatment of recurrent lumbar disc herniation.Methods:A retrospective analysis was conducted on the data of 132 patients who underwent revision surgery for recurrent lumbar disc herniation at the same segment at Qilu Hospital of Shandong University between July 2012 and August 2022. The patients were treated with either PEID or MD. The PEID group consisted of 90 patients, including 51 males and 39 females, with a mean age of 42.7±11.3 years and a mean body mass index (BMI) of 23.7±3.4 kg/m 2. The surgical segments were L 4-5 in 38 cases and L 5S 1 in 52 cases. The primary surgeries included open discectomy in 7 cases, laminectomy with bone graft in 3 cases, MD in 35 cases, and PEID in 45 cases. The MD group consisted of 42 patients, including 30 males and 12 females, with a mean age of 41.2±12.6 years and a mean BMI of 24.3±4.7 kg/m 2. The surgical segments were L 4-5 in 19 cases and L 5S 1 in 23 cases. The primary surgeries included open discectomy in 2 cases, laminectomy with bone graft in 1 case, MD in 17 cases, and PEID in 22 cases. The visual analogue scale (VAS) scores for low back pain and leg pain, Oswestry disability index (ODI), immediate postoperative VAS score for surgical wound pain, intraoperative blood loss, surgical wound length, operation duration, length of hospital stay, and various complications before and after surgery were compared between the PEID and MD groups. Results:The operation duration in the PEID group was 81.7±11.3 min, that in the MD group was 85.2±9.5 min, but the difference was not statistically significant ( t=1.740, P=0.081). The intraoperative blood loss in the PEID group was 4.4±2.9 ml, the surgical wound length was 0.9±0.2 cm, and the length of hospital stay was 3.1±1.3 d, all significantly less than those in the MD group (26.6±10.3 ml, 3.4±1.1 cm, and 8.7±1.6 d, respectively), with statistically significant differences ( P<0.05). Both groups were followed up, with a mean follow-up duration of 24.4±5.5 months in the PEID group and 24.5±4.9 months in the MD group, and there was no statistically significant difference between the two groups ( t=0.101, P=0.920). Both the PEID and MD groups showed significant improvements in postoperative VAS scores for leg pain, VAS scores for low back pain, and ODI compared with preoperative values ( P<0.05). Additionally, the VAS score for surgical wound pain on the first postoperative day in the PEID group was 1.2±0.4, which was lower than that in the MD group (2.9±0.6), with a statistically significant difference ( t=19.261, P<0.001). The incidence rates of muscle weakness, postoperative sensory abnormalities, and dural tears in the PEID group were 12%(11/90), 27%(24/90), and 6%(5/90), respectively, significantly lower than those in the MD group [31%(13/42), 40%(17/42), and 33%(14/42), respectively], with statistically significant differences ( P<0.05). However, there were no statistically significant differences between the two groups in the incidence rates of recurrence, residual nucleus pulposus, spinal cord-like hypertension syndrome, subcutaneous wound infection, or intervertebral space infection ( P>0.05). No patients in either group developed retroperitoneal hematoma postoperatively. Conclusion:For patients with recurrent lumbar disc herniation after primary posterior surgery, PEID demonstrates equally excellent clinical efficacy compared with MD, with smaller surgical trauma and a lower incidence of complications.