Background: and Purpose Therapeutic target selection in noninvasive brain stimulation for poststroke motor recovery typically relies on the interhemispheric inhibition model, which is effective for mildly affected patients but offers limited benefits for severely affected individuals. The mechanisms governing recovery from moderate-to-severe stroke remain poorly understood, which hinders the development of targeted interventions. Methods: We analyzed resting-state functional magnetic resonance imaging data from patients with unilateral subcortical stroke and moderate-to-severe upper limb deficits, both pre- and postintervention, along with data from healthy controls. We developed a novel dynamic lag analysis method for identifying recovery-related homotopic sensorimotor regions with altered interhemispheric interactions. To further uncover the global reorganization pathway, we developed dynamic lateralization approaches to detect large-scale functional connectivity (FC) alterations associated with the identified regions in transient lateralization states. Results: Dynamic time-lag analysis revealed significantly reduced synchronized states in the homotopic dorsal premotor cortex (PMd) post-intervention compared with pre-intervention, which correlated with motor recovery. Further dynamic lateralization analysis revealed a prolonged segregation state in patients, characterized by weakened interhemispheric and strengthened intrahemispheric interactions. In this state, patients showed decreased FC in the ipsilesional PMd and increased FC in the contralesional PMd with bilateral subcortical networks. These recoveryrelated alterations were absent in the traditional static analysis. Conclusions Dynamic analyses targeting interhemispheric interactions are valuable for understanding neural reorganization after stroke. The diminished interactions between the homotopic PMd indicate a compensatory mechanism. Importantly, a state-dependent compensatory pathway was identified, wherein the contralesional PMd assumes the functions of the ipsilesional PMd through enhanced interactions with subcortical structures, potentially guiding more effective interventions.

BACKGROUND: Neuroticism has been associated with numerous health outcomes. However, most research has focused on a single specific disorder and has produced controversial results, particularly regarding mortality risk. Here, we aimed to examine the association of neuroticism with morbidity and mortality and to elucidate how neuroticism affects trajectories from a healthy state, to one or more neuroticism-related disorders, and subsequent mortality risk. METHODS: We included 483,916 participants from the UK Biobank at baseline (2006-2010). Neuroticism was measured using the Eysenck Personality Questionnaire. Three clusters were constructed, including worry, depressed affect, and sensitivity to environmental stress and adversity (SESA). Cox proportional hazards regression and multistate models were used. Linear regression was used to examine the association between neuroticism and immune parameters and neuroimaging measures. RESULTS: High neuroticism was associated with 37 non-overlapping diseases, including increased risk of infectious, cardiometabolic, neuropsychiatric, digestive, and respiratory diseases, and decreased risk of cancer. After adjustment for sociodemographic variables, physical measures, healthy behaviors, and baseline diagnoses, moderate-to-high neuroticism was associated with a decreased risk of all-cause mortality. In multistate models, high neuroticism was associated with an increased risk of transitions from a healthy state to a first neuroticism-related disease (hazard ratio [HR] [95% confidence interval (CI)] = 1.09 [1.05-1.13], P  <0.001) and subsequent transitions to multimorbidity (1.08 [1.02-1.14], P  = 0.005), but was associated with a decreased risk of transitions from multimorbidity to death (0.90 [0.84-0.97], P for trend = 0.006). The leading neuroticism cluster showing a detrimental role in the health-illness transition was depressed affect, which correlated with higher amygdala volume and lower insula volume. The protective effect of neuroticism against mortality was mainly contributed by the SESA cluster, which, unlike the other two clusters, did not affect the balance between innate and adaptive immunity. CONCLUSION This study provides new insights into the differential role of neuroticism in health outcomes and into new perspectives for establishing mortality prevention programs for patients with multimorbidity.
Humans ; Neuroticism/physiology* ; Male ; Female ; Middle Aged ; Aged ; Proportional Hazards Models ; Surveys and Questionnaires ; Adult ; Risk Factors

Objective: To evaluate the immunogenicity and safety of co-administration with bivalent human papillomavirus (HPV) vaccine and hepatitis E virus (HEV) vaccine, so as to provide reference for optimizing the vaccination schedule. Methods: Females aged 18 to 25 years were recruited from September to October 2021 in Hengdian College of Film & Television in Zhejiang Province and randomly divided into the HPV+HEV group, the HPV group, and the HEV group. The vaccination procedures were one dose each at 0, 1, and 6 months. Immunogenicity was evaluated by detecting the geometric mean titers (GMT) of HPV16 IgG, HPV18 IgG, and/or HEV IgG antibodies before the first vaccination and one month after the full course of immunization, and comparing the difference in seroconversion, and the GMT ratio. The non-inferiority margin was set at a seroconversion difference of ≤5%, and the lower limit of the 95%CI of the GMT ratio was >0.5. Safety was evaluated by collecting conjunctive local reactions/events and systemic reactions/events within 7 days after each dose, non-conjunctive adverse events within 30 days after each dose, and serious adverse events throughout the observation period (0 to 7 months). Results: A total of 240 females were included, among whom 236 completed the full vaccination program, including 79 in the HPV+HEV group, 77 in the HPV group, and 80 in the HEV group. One month after the full course of immunization, the seroconversion rates of HPV16 IgG and HPV18 IgG antibodies in both the HPV+HEV group and the HPV group were 100%, and the differences in seroconversion rates were 0 (95%CI: -3.39%-+∞). The seroconversion rates of HEV IgG antibodies in both the HPV+HEV group and the HEV group were 100%, and the difference in seroconversion rates was 0 (95%CI: -3.27%-+∞). The GMT of HPV16 IgG and HPV18 IgG antibodies in the HPV+HEV group was 393.88 and 284.86 IU/mL respectively, which was not inferior to 489.39 and 341.24 IU/mL in the HPV group, and the GMT ratios were 0.80 (95%CI: 0.66-+∞) and 0.83 (95%CI: 0.68-+∞), respectively. The GMT of HEV IgG in the HPV+HEV group was 13.55 U/mL, which was not inferior to 12.72 U/mL in the HEV group, and the GMT ratio was 1.07 (95%CI: 0.92-+∞). The incidences of pain, pruritus, and induration in the HPV+HEV group were 54.43%, 21.52% and 40.51% respectively, which were significantly higher than 10.39%, 0, and 0 in the HPV group (all P<0.05). The incidences of redness/swelling, muscle pain/general weakness in the HPV+HEV group were 2.53% and 0, respectively, which were significantly lower than 12.50% and 16.25% in the HEV group (both P<0.05). Conclusion The co-administration of the bivalent HPV vaccine and HEV vaccine is not inferior to individual vaccination in terms of immunogenicity and safety, and the vaccination plan can be optimized through co-administration.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

BackgroundAtypical antipsychotics have been widely used in patients with chronic schizophrenia， and aripiprazole and risperidone are the most commonly used drugs. The mechanism of action of the two is different， while previous studies have provided insufficient credible evidence from multiple perspectives to support the comparative efficacy of the two drugs in improving symptoms in patients with chronic schizophrenia. ObjectiveTo compare the efficacy of aripiprazole and risperidone on the improvement of symptoms， prepulse inhibition （PPI）， cognitive functioning and neurotrophic factors in patients with chronic schizophrenia， so as to provide effective treatment regimens for these patients. MethodsA total of 86 patients with chronic schizophrenia attending the psychiatry department of the Third People's Hospital of Fuyang from March 2021 to March 2023 and fulfilling the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10） were enrolled and grouped using random number table method， each with 43 cases. Aripiprazole group was given oral aripiprazole once daily at an initial dose of 5 mg for one week and then gradually increased to a maximum dose of 25 mg. Risperidone group received oral risperidone twice daily at an initial dose of 0.5 mg for one week and then gradually increased to a maximum dose of 3 mg. Treatment in both groups lasted 3 months. Before treatment and 3 months after treatment， Patients were required to complete Positive and Negative Symptom Scale （PANSS）， detection of both strong and weak PPIs in a startle modification passive attention paradigm， Wisconsin Card Sorting Test （WCST） and the measurement of neurotrophic factors at baseline and after treatment. The adverse reactions were recorded. Analysis of covariance was used to test the difference between the PANSS score， PPI， WCST and neurotrophic factor levels of the groups， with the pretest used as the covariate. Results3 months after treatment， no statistical difference was found in the scores of PANSS general psychopathology subscale， positive symptom subscale， negative symptom subscale and total score between two groups after treatment （F=0.621， 0.815， 0.743， 0.752， P>0.05）. There were no statistically significant differences between the two groups in PPI inhibition rate， single intense stimulus amplitude， single intense stimulus latency， prepulse inhibition amplitude， or prepulse inhibition latency （F=0.174， 0.001， 0.183， 0.171， 0.001， P>0.05）. There was no statistically significant difference in the total number of WCST tests between two groups （F=0.512， P>0.05）， whereas aripiprazole group reported significantly larger total numbers of categories completed and correct responses as well as smaller total numbers of random errors and perseverative errors compared to risperidone group （F=3.737， 4.621， 4.892， 5.130， P<0.05）. A significant increase in brain-derived neurotrophic factor （BDNF） and nerve growth factor （NGF） along with a reduction in glial fibrillary acidic protein （GFAP） were documented in risperidone group when compared to risperidone group （F=4.414， 3.781， 6.319， P<0.05）. No significant difference was demonstrated in the incidence of adverse reactions between the two groups （χ²=0.261， P>0.05）. ConclusionAripiprazole may be more beneficial than risperidone in improving cognitive functioning and neurotrophic factor levels in patients with chronic schizophrenia. ［Funded by Scientific Research Project of Fuyang Municipal Health Commission in 2021 （number， FY2021-147）］

Objective To explore the current status and influencing factors of heart failure occurrence in patients with unstable angina pectoris (UAP), and to provide a scientific basis for developing individualized prevention and treatment strategies. Methods A total of 310 patients with UAP admitted to the Fifth People's Hospital from October 2021 to October 2024 were selected as study subjects. The current status of the patients' heart failure was statistically analyzed, and the patients were divided into heart failure group and non-heart failure group according to whether they had heart failure. Univariate and logistic multivariate regression analyses were used to analyze the risk factors for the occurrence of heart failure in patients with UAP. Results Among the 310 patients with UAP, 63 cases had heart failure, with an incidence rate of 20.32%. After logistic multivariate analysis, it was found that diabetes mellitus, hyperlipidemia, number of coronary artery lesions, homocysteine and plasma brain natriuretic peptide levels were risk factors of heart failure in patients with UAP, and hemoglobin level was a protective factor (OR: 2.010, 95%CI: 1.063-3.800; OR: 4.495, 95%CI: 2.228-9.067; OR: 2.408, 95%CI: 1.256-4.617; OR: 3.655, 95%CI: 1.812-7.372; OR: 4.693, 95%CI: 2.622-8.399; OR: 0.359, 95%CI: 0.205-0.628, P<0.05). Conclusion The coronary heart disease risk of heart failure is high in patients with UAP, and is affected by comorbidities, number of coronary artery lesions, homocysteine, and plasma brain natriuretic peptide levels. It is necessary to perform clinical screening and pay attention to such patients, and take active prevention and control interventions.

The visual crowding effect refers to the phenomenon that the observers' ability to identify the target object significantly decreases when it is flanked by surrounding objects.A variety of ophthalmic diseases,including amblyopia,strabismus,glaucoma,macular degeneration and nystagmus,involve structural or functional abnormalities in different parts of the visual system.These abnormalities will exacerbate the visual crowding effect,thereby impairing the ability in multi-line visual identification,reading and other daily visual activities of patients.Since intervention on visual crowding can im-prove patients' ability to process complex visual information,optimize the use of residual vision and improve prognosis,it is of great clinical value to develop targeted intervention methods.This article systematically reviews the characteristics of visual crowding in patients with oculopathy and its impact on functional vision,and summarizes the current intervention strategies,in order to provide theoretical basis and practical guidance for future clinical practice.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

The visual crowding effect refers to the phenomenon that the observers' ability to identify the target object significantly decreases when it is flanked by surrounding objects.A variety of ophthalmic diseases,including amblyopia,strabismus,glaucoma,macular degeneration and nystagmus,involve structural or functional abnormalities in different parts of the visual system.These abnormalities will exacerbate the visual crowding effect,thereby impairing the ability in multi-line visual identification,reading and other daily visual activities of patients.Since intervention on visual crowding can im-prove patients' ability to process complex visual information,optimize the use of residual vision and improve prognosis,it is of great clinical value to develop targeted intervention methods.This article systematically reviews the characteristics of visual crowding in patients with oculopathy and its impact on functional vision,and summarizes the current intervention strategies,in order to provide theoretical basis and practical guidance for future clinical practice.

Objective To comparatively analyze the disparities in informatization construction between primary healthcare institu-tions in remote and non-remote areas,clarify the causes and manifestations of regional digital divides,and provide empirical evidence for optimizing resource allocation in remote areas and promoting health equity.The study also offers policy insights for advancing the"Internet+Healthcare"strategy based on local conditions.Methods A stratified sampling survey was conducted among 1 255 primary healthcare institutions in Sichuan Province to systematically compare informatization construction differences between remote and non-remote areas.Results Compared with non-remote areas,remote areas exhibited significant gaps in the coverage of informa-tization infrastructure and the construction of core system integration platforms.Remote areas also had higher absence rates of clinical service systems and notable disparities in institutional informatization investment and the allocation of dedicated IT person-nel.However,remote areas demonstrated strengths in the deployment of health terminals(e.g.,integrated health devices,smart follow-up kits,and wearable devices)and the construction of systems for infection control/communicable disease management and patient follow-up management.Conclusion Regional digital divides are primarily constrained by three factors:fiscal invest-ment,talent reserves,and technical adaptability.A differentiated policy support system is needed to address these challenges.