ObjectiveTo introduce visual teaching into the course design of medical humanistic care based on the concept of implementation science， evaluate the teaching implementation effect and feedback， and provide references for optimizing course teaching outcomes and improving students’ humanistic care competence. MethodsA visual teaching program for medical humanistic care was designed， with key steps including clarifying teaching objectives， content， methods， and curriculum assessment. This program was implemented in the medical humanistic care course teaching involving 50 elective students. Multi-dimensional evaluation of teaching effectiveness was conducted through course grades， visual teaching evaluation， and humanistic workshop assessment， combined with inductive content analysis of students’ learning experiences in the workshops. ResultsThe 50 students achieved above-average course grades （89.60±3.41） and demonstrated high satisfaction with the overall course and visual teaching. All the 6 groups obtained relatively high scores in the medical humanistic care workshops. Four themes were extracted， namely， enhancing humanistic care competencies， deepening familial and interpersonal relationships， realizing emotional expression and self-growth， and strengthening integration of humanistic care concepts with practice. ConclusionThe teaching of medical humanistic care course has achieved favorable effects， which contributes to deepening students’ understanding of humanistic care and enhancing their humanistic care competence. Students demonstrate high levels of recognition and satisfaction with the course.

BACKGROUND: Preclinical studies have indicated that Angong Niuhuang Pills (ANP) reduce cerebral infarct and edema volumes. This study aimed to investigate whether ANP safely reduces cerebral infarct and edema volumes in patients with moderate to severe acute ischemic stroke. METHODS: This randomized, double-blind, placebo-controlled pilot trial included patients with acute ischemic stroke with National Institutes of Health Stroke Scale (NIHSS) scores ranging from 10 to 20 in 17 centers in China between April 2021 and July 2022. Patients were allocated within 36 h after onset via block randomization to receive ANP or placebo (3 g/day for 5 days). The primary outcomes were changes in cerebral infarct and edema volumes after 14 days of treatment. The primary safety outcome was severe adverse events (SAEs) for 90 days. RESULTS: There were 57 and 60 patients finally included in the ANP and placebo groups, respectively for modified intention-to-treat analysis. The median age was 66.0 years, and the median NIHSS score at baseline was 12.0. The changes in cerebral infarct volume at day 14 were 0.3 mL and 0.4 mL in the ANP and placebo groups, respectively (median difference: -7.1 mL; interquartile range [IQR]: -18.3 to 2.3 mL, P = 0.30). The changes in cerebral edema volume of the ANP and placebo groups on day 14 were 11.4 mL and 4.0 mL, respectively ( median difference: 3.0 mL, IQR: -1.3 to 9.9 mL, P = 0.15). The rates of SAE within 90 days were similar in the ANP (3/57, 5%) and placebo (7/60, 12%) groups ( P = 0.36). Changes in serum mercury and arsenic concentrations were comparable. In patients with large artery atherosclerosis, ANP reduced the cerebral infarct volume at 14 days (median difference: -12.3 mL; IQR: -27.7 to -0.3 mL, P = 0.03). CONCLUSIONS: ANP showed a similar safety profile to placebo and non-significant tendency to reduce cerebral infarct volume in patients with moderate-to-severe stroke. Further studies are warranted to assess the efficacy of ANP in reducing cerebral infarcts and improving clinical prognosis. TRAIL REGISTRATION Clinicaltrials.gov , No. NCT04475328.
Aged ; Female ; Humans ; Male ; Middle Aged ; Double-Blind Method ; Drugs, Chinese Herbal/adverse effects* ; Ischemic Stroke/drug therapy* ; Pilot Projects ; Stroke/drug therapy* ; Treatment Outcome

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To retrieve,evaluate and summarize the relevant evidences of oral health manage-ment in the community elderly people to provide reference for community medical staffs.Methods The evi-dences on oral health management of the comunity elderly people were systematically retrieved from various guide websites and Chinese and English databases.The retrieval limit was from the database establishment to September 2021.The research group conducted the evaluation and extracted the evidences according to the rel-evant literature evaluation criteria.Results A total of 17 literatures were included,including 5 guidelines,4 expert consensuses and 8 systematic reviews.A total of 28 pieces of evidences were summarized from the five aspects of assessment and examination,daily life management,management of special oral problems,denture management,and education and training.Conclusion Community medical staffs should fully consider the clin-ical situation,department resources and patient wishes,and conduct the evidence application to increase the o-ral health level of the community elderly people.

Objective:To compare the differences in prefrontal activation patterns between major depressive disorder and schizophrenia during the eye basic emotion discrimination task (EBEDT).Methods:Using functional near infrared spectroscopy (fNIRS) technology and block design, the changes of prefrontal lobe oxyhemoglobin (Oxy-Hb) concentrations under EBEDT in 40 patients with major depressive disorder, 47 patients with schizophrenia and 55 normal controls were compared. Subsequently, employing years of education as a covariate, an analysis of covariance was performed on the EBEDT behavioral results and the changes in prefrontal Oxy-Hb concentrations in the three groups.The statistical software was SPSS 25.0.Results:(1)The correct number of EBEDT in schizophrenia group (13.93±7.67) was significantly lower than that in major depressive disorder group (19.26±8.07) and normal control group (21.79±6.36)(both P<0.05), and the EBEDT reaction time in schizophrenia group ((3.97±1.77) s) was significantly longer than those in major depressive disorder group ((3.21±1.27) s) and normal control group ((2.63±0.62) s)(both P<0.05).(2)During the EBEDT task block, the normal control group showed increased activation levels in the frontal polar region, Broca's area, anterior motor cortex and supplementary motor area (SMA) compared with the control block( t=2.02-3.18, all P<0.05); and the schizophrenia group showed increased activation levels in the frontal eye field compared with the control block( t=2.26, P=0.03); while the major depressive disorder group exhibited decreased activation levels in the entire prefrontal lobe compared with the control block( t=-3.47--2.34, all P<0.05). (3)During the emotion recognition task of EBEDT, the activation levels of the frontal polar area (ch37), dorsolateral prefrontal cortex (ch31), Broca's area (ch49, ch51, ch53), and SMA (ch1, ch47, ch52) were significantly different among the major depressive disorder, schizophrenia and normal controls( F=3.23-5.53, all P<0.05). Further pairwise comparisons showed that the activation levels in all the above pathways were lower in the major depressive disorder group than those in the normal control group, and the activation levels in Broca's area (ch53) and SMA area (ch52) were lower in the schizophrenia group than those in the normal control group, while the activation levels in the frontal polar area (ch37) and Broca's area (ch49) were lower in the major depressive disorder group than those in the schizophrenia group(all P<0.05). Conclusions:In EBEDT, the activation patterns of the prefrontal cortex are different between patients with major depressive disorder and patients with schizophrenia. Patients with major depressive disorder have a decrease in prefrontal cortex activation, while patients with schizophrenia have an increase in the frontal eye field activation.The activation levels in prefrontal cortex of both patients group are lower than that of normal controls. Meanwhile, the prefrontal cortex activation level of patients with major depressive disorder is lower than that of patients with schizophrenia.