Public hospitals bear the responsibility of ensuring people's health and promoting their healthy lives.New media have emerged as a pivotal platform for health science popularization in public hospitals.Under these contexts,the Science Popularization Base for Health and Chronic Disease Prevention of the First Hospital of Lanzhou University established a multidisci-plinary team model for science popularization,mainly relying on the WeChat official account to disseminate health knowledge and dispel rumors.This article explored the experiences and practices of health science popularization under this model,focusing on the"meticulous selection for science popularization"strategy employed on their WeChat official account.

ObjectiveTo analyze the relationship between somatic symptoms， five-state personality and emotional symptoms of bipolar disorder （BD）， and to provide a reference for the clinical diagnosis and treatment of BD. MethodsThe basic information of the BD patients was collected， and the self-administered somatic symptom questionnaire was used to investigate the somatic symptoms with a frequency of ＞20%， which were scored as the somatic symptom scores； the 24-item Hamilton Depression Scale （HAMD） was used to evaluate the patients' depressive symptoms， the Young Mania Rating Scale （YMRS） was used to evaluate the patients' manic symptoms， the Hamilton Anxiety Scale （HAMA） was used to evaluate the patients' anxiety symptoms， and Five-State Personality Test was used to evaluate the patients' five-state personality （including taiyang personality， shaoyang personality， yin-yang balance personality， shaoyin personality， and taiyin personality）. Network analysis and linear regression were used to analyse the correlation between the somatic symptom scores and the five-state personality scores， HAMD scores， YMRS scores， and HAMA scores. ResultsThere were 269 patients with BD included， and 19 somatic symptoms with a frequency of ＞20%， the top three being lack of strength （152 cases， 56.51%）， dry mouth （137 cases， 50.93%）， and preference for cold drinks （112 cases， 41.64%）， and the somatic symptom scores were ［7.0 （0，10.0）］ points； the YMRS scores were ［3.0 （0， 7.5）］ points； the HAMD scores were ［11.0 （5.0， 18.0）］ points； and HAMA score was ［6.0 （2.0， 10.0）］ points. Among the five-state personalities， taiyang personality ［10.0 （7.0， 13.0）］ score； shaoyang personality ［10.0 （7.5， 13.0）］ score； yin-yang balance personality ［5.0 （3.0， 7.0）］ score； shaoyin personality ［13.0 （10.0， 16.0）］ score； and taiyin personality ［14.0 （9.0， 18.0）］ score. Complex network analysis showed that BD somatic symptoms were positively correlated with taiyin personality score （r = 0.23）， HAMD score （r = 0.21）， and YMRS score （r = 0.13）； taiyin personality score was positively correlated with HAMD score （r = 0.17） and negatively correlated with YMRS score （r = -0.03）. Linear regression analyses showed that somatic symptom scores were positively correlated with HAMD score （β = 0.138， P = 0.003）， YMRS score （β = 0.128， P = 0.006）， and taiyin personality scores （β = 0.182， P＜0.001）. ConclusionDepression， mania， and taiyin personality are independent risk factors for somatic symptoms in patients with BD， and taiyin personality is strongly associated with somatic symptoms in patients with BD.

Objective:To analyze the clinical and immunological characteristics of children with acute viral infection-related encephalopathy.Methods:Case-control study.A retrospective analysis was conducted on the clinical data of children diagnosed with acute viral infection-related encephalopathy during hospitalization at the Children′s Hospital, Capital Institute of Pediatrics from January 2020 to January 2023.According to the last follow-up modified Rankin scale (mRS) score, these children were divided into a good prognosis group (mRS score ≤2) and a poor prognosis group (mRS score >2), and the clinical and immunological characteristics of the children with different prognoses were analyzed.The binary Logistic regression was used to analyze the risk factors for poor prognosis.Results:A total of 28 children with acute viral infection-related encephalopathy aged 4 months to 11 years were included.There were 16 males (57%) and 12 females (43%). Among the preinfection viruses, there were 16 children of Corona virus disease 2019, 8 children of influenza A virus, 3 children of influenza B virus, and 1 child of norovirus.Among them, there were 21 children with acute necrotizing encephalopathy, 4 children with acute encephalopathy with biphasic seizures and late reduced diffusion, 2 children with mild encephalitis with a reversible splenial lesion, and 1 child with hemorrhagic shock and encephalopathy syndrome.Among the first symptoms, 24 children (85.7%) had consciousness disorders, 23 children (82.1%) had seizures, 17 children (60.7%) had speech disorders, 11 children (39.3%) had involuntary movements, and 10 children (35.7%) had abnormal mental behavior.For the site of lesion, the cranial nuclear magnetic resonance imaging revealed 17 in the thalamus, 10 in the brainstem, 9 in the basal ganglia, 8 in the cerebellar hemisphere, and 4 in the corpus callosum.In the last follow-up evaluation, 17 children had a mRS score of >2, and 11 children had a mRS score of ≤2.Univariate analysis showed that disturbance of consciousness, seizure cluster, brain stem lesion, absolute value of serum T lymphocytes, cerebrospinal fluid(CSF) protein, CSF cytokines [interleukin(IL)-1β, IL-6 and IL-8]were higher in the poor prognosis group than those in the good prognosis group.Multivariate Logistic regression analysis indicated that brain stem disease, CSF IL-1β and T lymphocyte absolute number were independent risk factors for poor prognosis.Conclusions:Brain stem lesions, cerebrospinal fluid IL-1β and the absolute number of T lymphocytes have predictive value for the prognosis of acute viral infection-associated encephalopathy.The more severe the conditions, the lower the T lymphocytes, and the higher the cytokines in some cerebrospinal fluid.

ObjectiveTo explore the elements， distribution and characteristics of traditional Chinese medicine （TCM） syndromes in depressive episodes of bipolar disorder （BD）. MethodsBasic information， along with the four examination information， the Hamilton Depression Scale and Young Mania Rating Scale scores， were collected from 293 outpatients with BD at Beijing Anding Hospital， Capital Medical University. The four examination information with an occurrence rate greater than 12% were retained. The R language “dist” function was used to calculate the distances between samples using the Euclidean distance method. The hierarchical clustering of the four examination information was performed using the “hclust” function and the squared Euclidean distance method. A team of five researchers was formed to determine the nature and location of the essential elements of TCM syndrome in BD based on the clustering results. The PC algorithm was used to construct a Bayesian network model of the essential elements. The working group combined the essential elements of TCM syndromes in the Bayesian network according to the reference model results， and then extracted common TCM syndromes. The score of each patient based on the essential elements was matched with the common TCM syndromes to determine the syndrome type of each patient. The working group then performs conformity and revision based on this， obtaining the final distribution of TCM syndromes for the patients. ResultsThere were 77 common TCM symptoms in BD with a frequency greater than 12%. The top 15 symptoms with higher frequencies were slippery pulse， mental fatigue and lack of strength， wiry pulse， excessive rumination， preference for solitude， vexation， agitation and irritability， dry mouth， palpitations， profuse dreaming， unwarranted worries， chest oppression， thin white coating， amnesia， frequent sighing， and poor appetite. TCM syndrome elements of BD can be grouped into 11 categories. The nature of disease-related essential elements included fire， qi deficiency， blood deficiency， qi counterflow， yin deficiency， dampness， heat， fire from constraint， and phlegm. The location of disease-related essential elements included heart， liver， spleen， stomach， kidney， bladder channel， and gallbladder. By constructing a Bayesian network model and considering the opinions from the experts， six common syndromes of BD were identified， among which the highest proportion was heart-stomach heat accumulation， accounting for 27.99% （82 cases）， followed by heart-spleen deficiency （55 cases， 18.77%）， non-interaction between the heart and the kidney （49 cases， 16.72%）， liver constraint and blood deficiency （42 cases， 14.33%）， heart qi deficiency （37 cases， 12.63%）， and damp-heat in the liver and gallbladder （28 cases， 9.56%）. ConclusionsThe nature of disease-related elements of BD are predominantly fire and heat， while the location of disease-related essential elements are primarily associated with the heart， liver， and spleen. The most common TCM syndromes are heart-stomach heat accumulation and heart-spleen deficiency.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.