ObjectiveTo analyze the epidemiological characteristics of 21 respiratory pathogens in influenza-like illness (ILI) cases in Jing’an District, Shanghai in 2024, and to provide a scientific basis for the prevention and control of respiratory infectious diseases. MethodsData of1 907 ILI cases at four sentinel hospitals in Jing’an District were collected from January to December 2024. Nasopharyngeal swab samples were collected and tested for 21 respiratory pathogens using polymerase chain reaction (PCR) methods. Chi-square test and Cochran-Armitage trend test were used for data analyses. ResultsAmong the 1 907 ILI cases, 1 340 were tested positive (70.27%), including 1 160 (60.83%) virus-positive cases, 424 (22.23%) bacteria-positive cases , and 86 (4.51%) positive cases of other pathogens (fungi, mycoplasma, and chlamydia). The top five viruses by detection rate were: influenza virus (14.84%), SARS-CoV-2 (14.47%), rhinovirus (12.69%), adenovirus (7.08%), and parainfluenza virus (6.71%). The top two bacteria by detection rate were Streptococcus pneumoniae (14.47%) and Haemophilus influenzae (10.33%). Among other pathogens (fungi, mycoplasma, and chlamydia), Mycoplasma pneumoniae showed the highest detection rate (4.30%). In terms of age distribution, statistically significant differences were observed in the detection rates of SARS-CoV-2, Legionella, and Klebsiella pneumoniae (P<0.05), with the highest rates found in individuals aged 65 years and above. Statistically significant differences were also found in the detection rates of rhinovirus, adenovirus, enterovirus, common coronavirus, respiratory syncytial virus, bocavirus, parainfluenza virus, human metapenu-movirus, Streptococcus pneumoniae, Haemophilus influenzae, and Mycoplasma pneumoniae among different age groups (P<0.05), all showing the highest detection rates in the 0‒<15 years age group. In terms of seasonal distribution, SARS-CoV-2, adenovirus, parainfluenza virus, enterovirus, Streptococcus pneumoniae, Haemophilus influenzae, and Mycoplasma pneumoniae showed epidemic peaks in summer; rhinovirus, common coronavirus, bocavirus, and Klebsiella pneumoniae had higher detection rates in autumn. Influenza virus exhibited a peak incidence during winter, while human metapenu-movirus peaked in winter and spring. Significant differences in co-infection detection rates were observed among age groups, with the rate in children aged 0‒<15 years (34.81%) being the highest. The co-infection detection rate was higher in males than in females (P=0.019). Both the single-pathogen detection rate and the co-infection detection rate (P<0.001) varied significantly across seasons: the single-pathogen detection rate was highest in winter (62.06%), while the co-infection detection rate peaked in summer (31.20%) and was lowest in winter (14.52%). ConclusionBased on detection rates, the main pathogens in the ILI population of Jing’an District, Shanghai, 2024 were influenza virus, SARS-CoV-2, rhinovirus, adenovirus, parainfluenza virus, common coronavirus, enterovirus, Human metapenu-movirus, Streptococcus pneumoniae, Haemophilus influenzae, and Mycoplasma pneumoniae. Pathogen detection rates varied by age and season. Coinfection rates were much higher in children than in adults, higher in males than in females, and peaked in summer while being lowest in winter.

Objective:To establish and explore a novel model and its clinical application value based on abnormal des-gamma-carboxy prothrombin (DCP) for the early-stage diagnosis of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).Methods:A total of 420 cases with chronic HBV infection with nodular liver lesions examined by imaging at the Third Hospital of Hebei Medical University from January 2021 to June 2024 were retrospectively selected. They were divided into the HBV-HCC group (182 cases) and the control group (238 cases) according to the current HCC diagnostic criteria. The basic information of patients, liver-related biochemical indicators, serum DCP, alpha-fetoprotein (AFP) levels, and the efficacy of combined detection in diagnosing early-stage HCC were collected and analyzed. A DSGAA model based on DCP (D) combined with gender (S), γ-glutamyl transferase (GGT, G), AFP (A) and age (A) as independent variables was constructed. The diagnostic performance of the novel model was compared with that of the traditional model through nomogram visualization output and calibration curve.Results:The age, sex, hemoglobin, albumin, alanine aminotransferase, alkaline phosphatase, and GGT levels were significantly higher in patients with HCC than those of the control group ( P<0.05). The positivity detection rate in patients with HBV-HCC was significantly higher in DCP than that of AFP (85.71% vs. 59.89%, P<0.05). The abnormal detection rate of DCP in patients with AFP-negative was 76.7%. The sensitivity for diagnosing HCC was significantly higher in DCP than AFP (73.63% vs. 64.29%, P<0.05), with specificity of 83.6% in all. The specificity for diagnosing early-stage HCC was 89.09%, surpassing that of AFP at 68.06% ( P<0.05). The area under the receiver operating characteristic curve (AUC) for the constructed DSGAA diagnostic model was 0.8841, with an optimal cutoff value of 0.377, a sensitivity of 80.22%, and a specificity of 86.13%. The AUC for diagnosing early-stage HCC was 0.8122, with a sensitivity of 66.18%, and a specificity of 86.13%, and the diagnostic efficacy was higher than other models ( P<0.05). Conclusion:DCP has superior diagnostic efficacy for HBV-related HCC, and the DSGAA model is expected to be used as a new method for screening and diagnosing early-stage HBV-related HCC.

Objective:To establish and explore a novel model and its clinical application value based on abnormal des-gamma-carboxy prothrombin (DCP) for the early-stage diagnosis of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).Methods:A total of 420 cases with chronic HBV infection with nodular liver lesions examined by imaging at the Third Hospital of Hebei Medical University from January 2021 to June 2024 were retrospectively selected. They were divided into the HBV-HCC group (182 cases) and the control group (238 cases) according to the current HCC diagnostic criteria. The basic information of patients, liver-related biochemical indicators, serum DCP, alpha-fetoprotein (AFP) levels, and the efficacy of combined detection in diagnosing early-stage HCC were collected and analyzed. A DSGAA model based on DCP (D) combined with gender (S), γ-glutamyl transferase (GGT, G), AFP (A) and age (A) as independent variables was constructed. The diagnostic performance of the novel model was compared with that of the traditional model through nomogram visualization output and calibration curve.Results:The age, sex, hemoglobin, albumin, alanine aminotransferase, alkaline phosphatase, and GGT levels were significantly higher in patients with HCC than those of the control group ( P<0.05). The positivity detection rate in patients with HBV-HCC was significantly higher in DCP than that of AFP (85.71% vs. 59.89%, P<0.05). The abnormal detection rate of DCP in patients with AFP-negative was 76.7%. The sensitivity for diagnosing HCC was significantly higher in DCP than AFP (73.63% vs. 64.29%, P<0.05), with specificity of 83.6% in all. The specificity for diagnosing early-stage HCC was 89.09%, surpassing that of AFP at 68.06% ( P<0.05). The area under the receiver operating characteristic curve (AUC) for the constructed DSGAA diagnostic model was 0.8841, with an optimal cutoff value of 0.377, a sensitivity of 80.22%, and a specificity of 86.13%. The AUC for diagnosing early-stage HCC was 0.8122, with a sensitivity of 66.18%, and a specificity of 86.13%, and the diagnostic efficacy was higher than other models ( P<0.05). Conclusion:DCP has superior diagnostic efficacy for HBV-related HCC, and the DSGAA model is expected to be used as a new method for screening and diagnosing early-stage HBV-related HCC.

Objective: To investigate how parental divorce impacts psychological abuse and neglect among middle and high school students, so as to provide evidence for the development of family intervention strategies for mental health promotion. Methods: A stratified random cluster sampling method was employed to select students from 23 middle and high schools in Nanchong, Neijiang, and Luzhou. Online questionnaires utilizing the General Data Questionnaire and the Child Psychological Abuse and Neglect Scale (CPANS) were administered. Propensity score matching (PSM) was used to compare individual characteristics between parent divorce and the control groups. The χ 2 test was then employed to analyze differences in psychological abuse and neglect across variables, with Logistic regression used to treat psychological abuse and neglect as dependent variables. Results: After PSM, there were 1 898 cases in both parent divorce and control groups. There was no significant difference in gender composition between the two groups ( χ 2=0.03, P >0.05). Compared to the control group, after controlling for various factors including gender, phase of studying, parental education, whether to live in school, and long term caregivers of the student, the risk of experiencing psychological abuse ( OR=1.43, 95%CI =1.26-1.63) and neglect ( OR=1.53, 95%CI =1.33-1.75) was significantly higher in parentdivorce group ( P <0.05). Conclusions Parental divorce significantly impacts psychological abuse and neglect experienced by middle and high school students. Therefore, support and intervention efforts should be intensified for students from divorced or unstable marriage families.

OBJECTIVE To analyze the implementation experience of France’s additional list system for innovative medical products， and to provide reference for China to support medical institutions to use innovative medical products. METHODS Taking France as a case study， using policy analysis method， this paper systematically studied the practice of establishing additional list system to compensate for innovative medical products in France under diagnosis-related group （DRG） payment， including the establishment background， selection procedure and implementation effect. The suggestions were provided on the medical insurance payment methods for innovative medical products in China. RESULTS & CONCLUSIONS The additional list system established a compensation and payment system for innovative medical products with significant clinical efficacy but high treatment cost， covering four stages： application， evaluation， payment and adjustment， which effectively reduced the drug burden on medical institutions， promoted the use of innovative pharmaceutical products by medical institutions， and stimulated the innovation drive of the pharmaceutical industry， but at the same time brought payment pressure to the medical insurance fund. With the rapid spread of our DRG/diagnosis-intervention packet payment reform of China， some regions have also explored the establishment of a compensation and payment mechanism for innovative medical products， but there are still imperfections. We can refer to the implementation experience of the French additional list system and establish an effective compensation and payment system for innovative medical products starting from the establishment of selection criteria， the selection of compensation mode and the implementation of dynamic adjustment.

This paper summarized the current status of the commonly used quality of life assessment scales of bronchiectasis （BE） at home and abroad， and compared the characteristics and differences of each scale from the basic framework， domain， item pool， application status and quality assessment， so as to provide a basis for the development and application of scales based on the mode of combination of disease and syndrome. There are currently 12 assessment tools for evaluating the quality of life in BE with good reliability， validity， and responsiveness， but only quality of life - bronchiectasis （QOL-B） and bronchiectasis health questionnaire （BHQ） are specifically developed for BE patients. The development process of these scales is mostly rooted in western culture and modern medicine， making it difficult to highlight the characteristics and advantages of traditional Chinese medicine （TCM）. The content of the scales lacks the outcome indicators that BE patients are most concerned about， and cannot fully reflect the subjective feelings of patients. The development and assessment of scales lacks clinical research data and methodological support. Under the guidance of TCM syndrome differentiation and treatment， the development of scales based on the mode of combination of disease and syndrome can emerge the characteristics of TCM， reflect the true feelings of patients， and make up for the limitations of the existing scales of BE. Therefore， based on domestic and international scales， factors of China's national conditions and cultural characteristics of TCM should be considered to develop the scale suitable for Chinese people， which requires the construction of a theoretical model for the combination of disease and syndrome， by taking patients as the center and evaluating the performance and quality of the scale.

ObjectiveTo investigate the prevalence rate and influencing factors of sleep insufficiency in medical students with migraine， and to provide a reference for alleviating the sleep problems in medical students. MethodsFrom July 2018 to July 2019， a random cluster sampling method was implemented to choose 546 medical students who met the diagnostic criteria of the International Classification of Headache Disorders， third edition （ICHD-3） for migraine in North Sichuan Medical College. Students were divided into sleep sufficiency group （n=367） and sleep insufficiency group （n=179） based on whether the nightly sleep duration was more than 6 hours. General demographic and clinical data of medical students were collected. Pittsburgh Sleep Quality Index （PSQI） was used to assess the sleep quality. Hamilton Anxiety Scale （HAMA） and Hamilton Depression Scale-24 item （HAMD-24） were used to evaluate the anxiety and depression states. Visual Analogue Scale （VAS） was adopted to assess the pain degree， and the 6-item Headache Impact Test Questionnaire （HIT-6） was applied to evaluate the impact of headache on daily life. Then Logistic regression analysis was conducted to screen the influencing factors of sleep insufficiency in medical students with migraine. ResultsAmong 546 medical students with migraine， 179（32.78%） had sleep insufficiency. There were significant differences in age （t=2.107）， frequency of headache attacks （Z=-2.972）， anxiety status （χ²=14.053）， depression status （χ²=10.773）， total score of PSQI （t=-13.247） and sleep quality （χ²=94.754） between sleep sufficiency group and sleep insufficiency group （P<0.05 or 0.01）. Correlation analysis showed that sleep duration in migraine patients was negatively correlated with age （r=-0.100， P<0.01）， and positively correlated with frequency of headache attacks， anxiety status， and depression status （r=0.135， 0.169， 0.139， P<0.01）. Multivariate Logistic regression analysis denoted that age （OR=0.860， 95% CI： 0.743~0.996， P=0.045）， frequency of headache attacks （OR=1.051， 95% CI： 1.006~1.098， P=0.026） and depression status （OR=1.712， 95% CI： 1.024~2.861， P=0.040） were influencing factors of sleep insufficiency in medical students with migraine. ConclusionMedical students with migraine suffer a high prevalence rate of sleep insufficiency， moreover， the frequency of headache attack and depression status are risk factors， and age is a protective factor for sleep insufficiency in medical students with migraine.

The clinical application of immune checkpoint inhibitors (ICIs) has significantly improved the prognosis of hepatocellular carcinoma (HCC) patients. With the widespread applica-tion of ICIs in HCC, the management of immune-related adverse events (irAE) gained more and more attention. However, the complicated disease characteristics and various combination therapies in HCC throw out challenges to irAE management. Therefore, the editorial board of the 'Chinese expert consensus on the management of immune-related adverse events of hepatocellular carcinoma treated with immune checkpoint inhibitors (2021 edition)' organizes multidisciplinary experts to discuss and formulate this consensus. The consensus focuses on issues related to HCC irAE manage-ment, and puts forward suggestions, in order to improve standardized and safety clinical medication, so as to maximize the benefits of immunotherapy for patients.

The hippocampus plays a crucial role in learning and memory, and its progressive deterioration with age is functionally linked to a variety of human neurodegenerative diseases. Yet a systematic profiling of the aging effects on various hippocampal cell types in primates is still missing. Here, we reported a variety of new aging-associated phenotypic changes of the primate hippocampus. These include, in particular, increased DNA damage and heterochromatin erosion with time, alongside loss of proteostasis and elevated inflammation. To understand their cellular and molecular causes, we established the first single-nucleus transcriptomic atlas of primate hippocampal aging. Among the 12 identified cell types, neural transiently amplifying progenitor cell (TAPC) and microglia were most affected by aging. In-depth dissection of gene-expression dynamics revealed impaired TAPC division and compromised neuronal function along the neurogenesis trajectory; additionally elevated pro-inflammatory responses in the aged microglia and oligodendrocyte, as well as dysregulated coagulation pathways in the aged endothelial cells may contribute to a hostile microenvironment for neurogenesis. This rich resource for understanding primate hippocampal aging may provide potential diagnostic biomarkers and therapeutic interventions against age-related neurodegenerative diseases.

Objective:To analyze clinical characteristics and monitor microbiome changes in patients with anti-PD-1 associated colitis.Methods:Two patients with non-small cell lung cancer who developed colitis after treated with anti-PD-1 antibodies were retrospectively analyzed in Peking Union Medical College Hospital from January 2019 to January 2020. The clinical symptoms, endoscopic and pathological manifestations, as well microbiome changes were analyzed and compared during pre-treatment, post-treatment and relapse.Results:The main clinical manifestations included diarrhea, elevated inflammatory indicators, colonic mucosal diffuse hyperemic edema with erosion by endoscopy. Changes in the structure of crypts were common pathological characteristics. Glucocorticoids were effective agents, which achieved clinical remission and mucosal healing. The microbiome composition of OTUs was different. After glucocorticoid treatment, the alpha diversity Observed species, Shannon, Simpson, Chao1, ACE indexes all decreased. The Firmicutesdecreased with Bacteroidetesincreasing in phylum level; while the Bacteroides increased with Ruminococcaceaedecreasing in genus level. Lactobacilluswas the potentially beneficial genus. Conclusion:Patients developing anti-PD-1 associated colitis have characteristic clinical and pathological manifestations. Glucocorticoids are effective treatment. The fecal microbiome diversity, relative abundance of major phylum and genus have changed after treatment.