Health communication aims to improve public health attitudes and behaviors by propagating health information. It plays an important role in promoting public health literacy and "Healthy China Initiative". The basic theories of health communication include "7 W" and Theory of Planned Behavior. Clinicians with profound medical expertise and a wealth of clinical practice play key roles in the communication, and they hold an unparalleled advantage in health communication by delivering authoritative and trustworthy information to the public. The capacity of health communication among clinicians in the nation is determined by various factors including professional characteristics, policy support, dissemination platforms and pathways, time and effort. Meanwhile, some problems in the research on the health communication capacity of clinicians remain, such as lack of well-established motivation systems, limited dissemination pathways, and imperfect evaluation frameworks. In some regions of China, health communication performance has been considered as part of the professional title evaluation for clinical physicians. Medical institutions and universities have also initiated relevant training and practice programs. It is crucial to improve evaluation frameworks, strengthen training pathways and effectiveness assessment, promote interdisciplinary integration, and enhance the role of clinicians in health communication in the future.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Activity cliffs (ACs) are generally defined as pairs of similar compounds that only differ by a minor structural modification but exhibit a large difference in their binding affinity for a given target. ACs offer crucial insights that aid medicinal chemists in optimizing molecular structures. Nonetheless, they also form a major source of prediction error in structure-activity relationship (SAR) models. To date, several studies have demonstrated that deep neural networks based on molecular images or graphs might need to be improved further in predicting the potency of ACs. In this paper, we integrated the triplet loss in face recognition with pre-training strategy to develop a prediction model ACtriplet, tailored for ACs. Through extensive comparison with multiple baseline models on 30 benchmark datasets, the results showed that ACtriplet was significantly better than those deep learning (DL) models without pre-training. In addition, we explored the effect of pre-training on data representation. Finally, the case study demonstrated that our model's interpretability module could explain the prediction results reasonably. In the dilemma that the amount of data could not be increased rapidly, this innovative framework would better make use of the existing data, which would propel the potential of DL in the early stage of drug discovery and optimization.

There is no unified international guidelines or consensus on seizures and epilepsy following acute stroke reperfusion therapy so far.In this review,we briefly summarize its definitions and mechanisms.Post stroke epilepsy after reperfusion treatment is defined as patients with ischemic stroke who have received intravenous thrombolysis and/or endovascular therapy,without other definitive causes or epilepsy history before stroke,have at least two epileptic seizures occurred within 7 days of stroke onset,or at least one epileptic seizures occurred within 30 days of stroke onset.The incidence rate of epilepsy after intravenous thrombolysis is about 6.4%-20.6%,and arterial thrombectomy is about 5%.The pathophysiological mechanism of post stroke epilepsy after reperfusion treatment may be related to local hyperfusion,epileptogenic properties of tPA and hemorrhagic transformation.Higher stroke severity,cortical involvement,middle cerebral artery infarction,and early post-stroke seizures may be predictive factors for post-stroke epilepsy after reperfusion therapy.Levetiracetam and lamotrigine may be effective drugs for post-stroke epilepsy after reperfusion therapy.Sustained seizures after thrombolysis may increase the risk of death.

Objective:To investigate the incidence of various non-motor symptoms (NMS) in early stage of Parkinson′s disease (PD) patients and the differences between the body-first and brain-first subtypes.Methods:A total of 121 patients with PD (Hoehn-Yahr stage 1-2) were recruited from PD Clinic, Department of Neurology, Beijing Hospital from January 2012 to January 2015. The general information and clinical features of the patients were collected. The minimal diagnostic criteria of parasomnias described in the International Classification of Sleep Disorders-Revised were used to diagnose rapid eye movement sleep behavior disorder (RBD).According to the sequence of RBD and motor symptoms, the patients were divided into 2 groups: body-first subtype and brain-first subtype. NMS was evaluated by the Non-Motor Symptom Questionnaire (NMSQuest). The clinical features and the incidence of various NMS were compared between the 2 groups. The Unified Parkinson′s Disease Rating Scale (UPDRS) was used to evaluate the severity of the disease, and its third part (UPDRS-Ⅲ) was used to evaluate the motor function of the patients. Hamilton Rating Scale for Depression (HAMD) and Hamilton Rating Scale for Anxiety (HAMA) were used to evaluate the depression and anxiety status of the patients. The sleep status of patients was assessed by Parkinson′s Disease Sleep Scale (PDSS). The quality of life of the patients was assessed by 39-item Parkinson′s Disease Questionnaire (PDQ-39).Results:Of all the patients, 49.59% (60/121) had the body-first subtype and 50.41% (61/121) had the brain-first subtype of PD. There was no significant difference in UPDRS-Ⅲ score between the 2 groups. The average number of NMS in all PD patients was 10.97±4.88. Body-first subtype patients had higher NMS incidence than brain-first subtype in difficulty in swallowing [46.7% (28/60) vs 23.0% (14/61), χ 2=7.507, P=0.006], nausea and vomiting [16.7% (10/60) vs 3.3% (2/61), χ 2=6.069, P=0.014], constipation [85.0% (51/60) vs 55.7% (34/61), χ 2=12.393, P<0.001], fecal incontinence [8.3% (5/60) vs 0 (0/61), χ 2=5.302, P=0.021], difficulty in remembering recent events [58.3% (35/60) vs 32.8% (20/61), χ 2=7.962, P=0.005], loss of interest [43.3% (26/60) vs 24.6% (15/61), χ 2=4.743, P=0.029], inattention [45.0% (27/60) vs 19.7% (12/61), χ 2=8.884, P=0.003], depression [55.0% (33/60) vs 34.4% (21/61), χ 2=5.181, P=0.023], intense vivid dreams [73.3% (44/60) vs 39.3% (24/61), χ 2=14.196, P<0.001] and restless legs [53.3% (32/60) vs 27.9% (17/61), χ 2=8.140, P=0.004]. The differences were significant. Body-first subtype and NMSQuest ( r=-0.489, P<0.001), UPDRS ( r=-0.189, P=0.038), HAMD ( r=-0.231, P=0.011), HAMA ( r=-0.298, P=0.001) and PDQ-39 scores ( r=-0.276, P=0.002) were negatively correlated. Body-first subtype and PDSS score was positively correlated. NMSQuest (Δ R2=0.265, P<0.001) was the main determinant of PDQ-39 score. Conclusions:PD patients are accompanied by various NMS, which is a major factor affecting the quality of life. Compared with brain-first subtype, body-first subtype might have more NMS burden and higher incidence rate in most NMS in early PD patients.

Objective:To observe the effect of Ba Duan Jin(Eight-brocade Exercise)plus Tuina(Chinese therapeutic massage)in treating primary dysmenorrhea due to cold-induced blood stasis in female college students and on the score of fatigue scale-14(FS-14). Methods:Seventy-two female college students with primary dysmenorrhea due to cold-induced blood stasis were randomized into a Tuina group and a joint group,with 36 cases in each group.The Tuina group only received Tuina manipulations.In the joint group,besides the same Tuina manipulations,patients practiced Ba Duan Jin.For both groups,the once-daily intervention was conducted from 6 d before the menstrual period until menstrual day 1 for 3 menstrual cycles.Changes in the scores of COX menstrual symptom scale(CMSS),visual analog scale(VAS),and FS-14 after the intervention were observed.Clinical efficacy was also estimated. Results:During the process,1 case dropped out in the Tuina group,and 35 cases completed the intervention;2 cases dropped out in the joint group,and 34 cases completed the intervention.The total effective rate was 94.1%in the joint group,higher than 88.6%in the Tuina group(P<0.05).After treatment,the symptom duration and intensity scores in the scores of CMSS,VAS,and FS-14 declined in both groups(P<0.05 or P<0.01);the CMSS symptom duration score and FS-14 score were lower in the joint group than in the Tuina group(P<0.05). Conclusion:Tuina manipulations alone or combined with Ba Duan Jin practice can effectively treat primary dysmenorrhea due to cold-induced blood stasis in female college students;when combined with Ba Duan Jin practice,Tuina manipulations can more significantly improve pain duration and fatigue,suggesting the advantages of combining Tuina Gongfa and manipulations.

By reviewing ancient materia medica， medical and prescription books， combined with modern literature， the textual research of Stephaniae Tetrandrae Radix has been conducted to verify the name， origin， producing area， harvesting and processing methods. Through textual research， the results show that the mainstream name of this herb recorded in the past dynasties is Fangji， which is also called Hanzhong Fangji because it is produced in Hanzhong city， and after the Tang dynasty， it was gradually divided into Hanfangji and Mufangji， and there is the saying that Han Zhushuiqi， Mu Zhufengqi. The names of Fenfangji and Guangfangji were first seen in the republic of China. In addition， Fenfangji was once distributed in Hankou， so it was also known as "Hanfangji"， which is easily confused with the traditional Hanzhong Fangji for short. Based on the original research， it is concluded that Aristolochia heterophylla（Hanzhong Fangji）is the mainstream of Stephaniae Tetrandrae Radix used in the Qing dynasty and before， and the application history of Cocculus orbiculatus can be traced back to before the Tang dynasty. After the Ming dynasty， Stephania tetrandra gradually became another main origin， and in the Republic of China， A. fangchi was used as a medicine for Stephaniae Tetrandrae Radix， but in modern times it was banned because it contained aristolochic acid as a toxic ingredient， and S. tetrandra has become the mainstream legal origin. The traditional production area of Hanzhong Fangji is Hanzhong， Shaanxi province， while today the mainstream of S. tetrandra is manly produced in Jiangxi and other places. Based on the quality evaluation research， the quality of Hanzhong Fangji is better with the radial texture of section used as radial solution， yellow solid and fragrant. Fenfangji with solid quality， white inside， powdered enough， less fiber and radiating texture is better. From the harvesting and processing research， the root of Fangji is mostly harvested in spring and autumn， and the outer bark should be removed in some literature. Before the Ming dynasty， this herb was dried in the shade， and after the Ming dynasty， it was dried in the sun. The modern production processing of Fangji is to harvest it in autumn， wash it， remove the rough bark， dry it to half dry， cut it into sections， and then cut it longitudinally if it is large， and dry it. Based on the results， combined with current studies on the toxicity of aristolochic acid and influencing factors such as commercial circulation， it is suggested that S. tetrandra should be used as the origin of Fangji， the processed products are selected according to the prescription requirements， and those without specified requirements can be processed by referring to the raw products in the 2020 edition of Chinese Pharmacopoeia.

Objective:To investigate the characteristics and clinical related factors of Parkinson′s disease (PD) patients with subjective cognitive decline (SCD).Methods:Ninety-nine PD patients with normal cognitive function enrolled in Beijing Hospital from January to December 2018 were collected for the study. Patients with PD were divided into groups with ( n=57) and without ( n=42) SCD using the first question in Part 1 of the Unified Parkinson′s Disease Rating Scale (UPDRS). All patients were assessed by Montreal Cognitive Assessment (MoCA), modified Hoehn-Yahr grading, UPDRS, Hamilton Rating Scale for Depression (HAMD), Hamilton Rating Scale for Anxiety (HAMA), Parkinson′s Disease Sleep Scale, Ability of Daily Living Scale and 39-item Parkinson′s Disease Questionnaire (PDQ-39). Levodopa equivalent dose conversion was performed for patients taking anti-PD drugs. Patients′ self-reported years of formal education were collected. Results:The proportion of PD with SCD in this group was 57.58% (57/99). There were statistically significant differences in MoCA [28.00 (27.00, 29.00) vs 28.00 (27.00, 29.00) ,Z=-2.28, P=0.023], HAMD [6.00 (5.00, 8.50) vs 5.00 (2.00, 8.00), Z=-2.23, P=0.026], HAMA [7.00 (6.00, 11.00) vs 6.00 (3.00, 8.25) , Z=-2.70, P=0.007], PDQ-39-emotional health [2.00 (0, 5.00) vs 1.00 (0, 3.00), Z=-2.03, P=0.042] and PDQ-39-cognitive scores [4.00 (2.00, 5.00) vs 2.00 (0, 4.00), Z=-3.42, P=0.001] between PD with and without SCD groups. SCD was correlated with MoCA ( r=-0.23, P=0.022), HAMD ( r=0.23, P=0.025) and HAMA ( r=0.27, P=0.006) scores to varying degrees. When controlling for HAMD and HAMA scores, the correlation between SCD and MoCA scores ( r′=-0.18, P=0.084) was no longer existed. Conclusions:SCD is common in PD patients with normal cognitive function and is associated with poorer cognitive performance and more severe symptoms of depression and anxiety. In this group of patients, the relationship between SCD and affective symptoms may be greater than that of objective overall cognitive function, which is worthy of further studies.