Objective: We aimed to determine whether individuals at immediate risk of suicide could be identified using data from a commercially available wearable device. Methods: Thirty-nine participants experiencing acute depressive episodes and 20 age- and sex-matched healthy controls wore a commercially available wearable device (Galaxy Watch Active2) for two months. We collected data on activities, sleep, and physiological metrics like heart rate and heart rate variability using the wearable device. Participants rated their mood spontaneously twice daily on a Likert scale displayed on the device. Mood ratings by clinicians were performed at weeks 0, 2, 4, and 8. The suicide risk was assessed using the Hamilton Depression Rating Scale’s suicide item score (HAMD-3). We developed two predictive models using machine learning: a single-level model that processed all data simultaneously to identify those at immediate suicide risk (HAMD-3 scores ≥1) and a multilevel model. We compared the predictions of imminent suicide risk from both models. Results: Both the single-step and multi-step models effectively predicted imminent suicide risk. The multi-step model outperformed the single-step model in predicting imminent suicide risk with area under the curve scores of 0.89 compared to 0.88. In the multi-step model, the HAMD total score and heart rate variability were most significant, whereas in the single-step model, the HAMD total score and diagnosis were key predictors. Conclusion Wearable devices are a promising tool for identifying individuals at immediate risk of suicide. Future research with more refined temporal resolution is recommended.

Background: Currently, little is known about the relationship between the temporal radiographic latent trajectories, which are based on the extent of coronavirus disease 2019 (COVID-19) pneumonia and clinical outcomes. This study aimed to elucidate the differences in the temporal trends of critical laboratory biomarkers, utilization of critical care support, and clinical outcomes according to temporal radiographic latent trajectories. Methods: We enrolled 2,385 patients who were hospitalized with COVID-19 and underwent serial chest radiographs from December 2019 to March 2022. The extent of radiographic pneumonia was quantified as a percentage using a previously developed deep-learning algorithm. A latent class growth model was used to identify the trajectories of the longitudinal changes of COVID-19 pneumonia extents during hospitalization. We investigated the differences in the temporal trends of critical laboratory biomarkers among the temporal radiographic trajectory groups. Cox regression analyses were conducted to investigate differences in the utilization of critical care supports and clinical outcomes among the temporal radiographic trajectory groups. Results: The mean age of the enrolled patients was 58.0 ± 16.9 years old, with 1,149 (48.2%) being male. Radiographic pneumonia trajectories were classified into three groups: The steady group (n = 1,925, 80.7%) exhibited stable minimal pneumonia, the downhill group (n = 135, 5.7%) exhibited initial worsening followed by improving pneumonia, and the uphill group (n = 325, 13.6%) exhibited progressive deterioration of pneumonia. There were distinct differences in the patterns of temporal blood urea nitrogen (BUN) and C-reactive protein (CRP) levels between the uphill group and the other two groups. Cox regression analyses revealed that the hazard ratios (HRs) for the need for critical care support and the risk of intensive care unit admission were significantly higher in both the downhill and uphill groups compared to the steady group. However, regarding in-hospital mortality, only the uphill group demonstrated a significantly higher risk than the steady group (HR, 8.2; 95% confidence interval, 3.08–21.98). Conclusion Stratified pneumonia trajectories, identified through serial chest radiographs, are linked to different patterns of temporal changes in BUN and CRP levels. These changes can predict the need for critical care support and clinical outcomes in COVID-19 pneumonia.Appropriate therapeutic strategies should be tailored based on these disease trajectories.

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

ObjectiveTo investigate the incidence rate of primary liver cancer （PLC） and the progression of liver fibrosis in chronic hepatitis B （CHB） patients with low-level viremia （LLV） （HBV DNA<2 000 IU/mL but ≥20 IU/mL） after treatment adjustment， and to provide more robust evidence for clinical practice. MethodsA retrospective analysis was performed for the clinical data of LLV patients who initially received nucleos（t）ide analogue （NAs） for at least 48 weeks at the Fifth Medical Center of PLA General Hospital from August 2007 to April 2017 and subsequently underwent NAs adjustment due to LLV， and according to the virologic response after 48 weeks of treatment adjustment， the patients were divided into LLV group and complete virological response （CVR） group （HBV DNA<20 IU/mL）. The patients were followed up once every 3‍ ‍—‍ ‍6 months till the primary endpoint event of PLC or October 2024. The incidence rate of PLC and the progression of liver fibrosis were observed， and the progression of liver fibrosis was defined as an increase of ≥1 grade in fibrosis-4 （FIB-4） index. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups； the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to calculate the cumulative incidence rate of PLC， and the Log-rank test was used for comparison between groups； the Cox regression analysis was used to investigate the risk factors for PLC， and the Logistic regression analysis was used to investigate the influencing factors for the progression of liver fibrosis. ResultsA total of 307 patients were enrolled， with a mean age of 50.0 years， and the male patients accounted for 80.5%. After 48 weeks of treatment with the adjusted NAs regimen， 254 patients （82.7%） achieved CVR， and 53 patients （17.3%） still had LLV. For the LLV group， the incidence rate of PLC was 30.2% and the rate of liver fibrosis progression was 22.6%， while for the CVR group， the incidence rate of PLC was only 13.4%， and the rate of liver fibrosis progression was 7.5%. The multivariate regression analyses showed that LLV was an independent risk factor for the onset of PLC （hazard ratio=2.623， 95% confidence interval ［CI］： 1.315‍ ‍—‍ ‍5.234， P=0.006） and the progression of liver fibrosis （odds ratio=3.213， 95%CI： 1.385‍ ‍—‍ ‍7.455， P=0.007）. ConclusionActive adjustment of treatment is needed immediately after the diagnosis of LLV to improve CVR， and if LLV persists after treatment adjustment， it is necessary to enhance the monitoring of liver fibrosis progression and PLC， so as to facilitate early diagnosis and treatment.

Based on clinical epidemiological data， it is believed that qi deficiency constitution is closely related to allergic diseases. According to the fundamental principles of traditional Chinese medicine （TCM） constitution theory， the intrinsic connection between qi deficiency constitution and allergic diseases is analyzed from the perspectives of inherited endowment， life process， environmental restriction， and the interplay of form and spirit. This paper discusses the key points of regulating qi deficiency constitution to prevent allergic diseases in three stages， prevention before illness， prevention of disease progression， and prevention of recurrence after recovery. It also distinguishes the treatment directions for regulating qi deficiency constitution to treat allergic diseases based on different disease locations such as the lung， spleen， and kidney. This aims to expand new ideas for the research on qi deficiency constitution and allergic diseases as well as the prevention and treatment of allergic diseases.

Objective To study the chemical constituents of Fallopia aubertii L.Henry Holub. Methods The chemical constituents of Fallopia aubertii L.Henry Holub. were separated and purified by online two-dimensional preparative liquid chromatography and identified by physical and chemical constants and spectral analysis. The inhibitory activities on xanthine oxidase were determined by ultraviolet spectrophotometry. Results Ten compounds were isolated from the extract of Fallopia aubertii L.Henry Holub, including isotachioside（1）, 3,4,5-trimethoxyphenyl-（6'-O-galloyl）-O-β-D-Glucopyranoside（2）, 1-hydroxy-,4,5-1-O-[6'-O-（4''-carboxy-1'',3'',5'trihydrotrimethoxyphenylxy）-phenyl]-β-D-glucopyranoside（3）, myricetrin（4）, myricetin（5）, rutin（6）, quercetin-3-O-β-D-galactoside（7）, quercetin-3-O-β-D-glucopyranoside（8）, lyciumideA（9）, and N-trans-Feruloyltyramine（10）. The inhibitory activity test results showed that the IC₅₀ of compound 5 was 15.92 μmol/L, and the IC₅₀ of compound 6 was 87.36 μmol/L. Conclusion Compounds 1,2,3,4 and 8 were isolated from Medicago polymorpha for the first time. Compounds 5 and 6 had xanthine oxidase inhibitory activity.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

Objective: To investigate the changing trends for associations of anxiety and depressive symptoms with smartphone addiction among middle school students, so as to provide a scientific basis for preventing smartphone addiction in middle school students. Methods: From 2022 to 2023, a method of combining convenient sampling with cluster sampling was used to select 8 923 middle school students from 27 junior high schools and 3 senior high schools in a district of Shenzhen City between September 2022 (baseline, T1) and September 2023 (follow up, T2). The Smartphone Addiction Scale-Short Version (SAS-SV), Patients Health Questionnaire-9 Item (PHQ-9), and Generalized Anxiety Disorder 7-item Scale (GAD-7) were administered to assess smartphone addiction, anxiety and depressive symptoms. Mixed effects models were used to analyze the association of anxiety and depressive symptoms with smartphone addiction among middle school students. Results: From September 2022 to September 2023, the reported prevalence of smartphone addiction increased from 24.22% to 25.25% ( χ 2=45.71); and smartphone addiction scores [ 24.00 (16.00, 32.00),25.00(16.00, 33.00)], anxiety symptom scores [2.00(0.00, 7.00),3.00(0.00, 7.00)] and depressive symptom scores[3.00(0.00, 8.00),5.00(0.00, 9.00)] all significantly increased ( Z =-17.43, -42.38, -41.57) (all P <0.05). There were statistically significant difference in the distribution of anxiety and depression symptom levels among middle school students in 2022 and 2023 ( χ 2=85.15, 106.85, both P <0.05). After adjusting for covariates such as age, gender and family background, mixed effects models revealed dose response associations of anxiety and depressive symptoms with smartphone addiction among middle school students:mild anxiety symptom( OR =3.22), moderate to severe anxiety symptom ( OR =5.36), mild depressive symptom ( OR =3.32) and moderate to severe depressive symptom ( OR =6.13) were significantly associated with higher risks of smartphone addiction (all P <0.05). Interaction effect analysis found that co existing anxiety and depressive symptoms synergistically increased addiction risk by 5.60 times ( OR =5.60) compared to the asymptomatic group, with 32% of the combined risk attributable to their interaction ( S=1.64, AP =0.32)(both P < 0.05 ). Conclusions Anxiety and depressive symptoms are significantly associated with smartphone addiction, exhibiting a synergistic effect. Attention should be paid to emotional issues and smartphone addiction among middle school students.

ObjectiveTo investigate the efficacy and mechanism of Polygoni Cuspidati Rhizoma et Radix （Huzhang） in treating respiratory syncytial virus（RSV） infection by regulating pulmonary surfactant lipid homeostasis through lipidomics. MethodsSixty BALB/c mice were randomly divided into the blank group， model group， positive group（ribavirin group， 46 mg·kg^-1）， and low- and high-dose Huzhang groups（0.75， 2.25 g·kg^-1）， with 12 mice in each group. Except for the blank group， all other groups were infected with RSV via intranasal instillation. The drug intervention groups were given corresponding doses of drug by gavage for 3 consecutive days， while normal saline was used in the blank and model groups. Hematoxylin-eosin（HE） staining was used to observe pathological changes in mouse lung tissue. Real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was employed to detect viral loads［RSV-nucleoprotein（N） and RSV-glycoprotein（G） mRNA］ and inflammatory factor levels［interleukin（IL）-1β and tumor necrosis factor（TNF）-α mRNA］ in the lung tissue. Mouse bronchoalveolar lavage fluid was collected to detect the levels of pulmonary surfactant lipids through ultra-high performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS）， followed by principal component analysis and differential lipid identification. ResultsCompared with the blank group， the model group exhibited extensive inflammatory cell infiltration， congestion， and tissue damage in the lungs， and the pathological score and lung index of lung tissue significantly increased（P<0.01）， along with significantly elevated mRNA expressions of RSV-N， RSV-G， IL-1β， and TNF-α（P<0.01）. Compared with the model group， different doses of Huzhang and ribavirin significantly reduced the pathological scores of the lung tissue and lung index（P<0.01）. In addition， the mRNA levels of RSV-N， RSV-G and TNF-α in the lungs significantly decreased in the Huzhang high dose group（P<0.01）. Lipidomics analysis identified multiple significantly changed differential metabolites. Compared with the blank group， the model group showed obvious abnormal lipid metabolism， which was manifested by the elevated levels of prostaglandin（PG）， ceramide（Cer）， phosphatidylcholine（PC）， phosphatidylethanolamine（PE）， phosphatidylinositol（PI）， sphingomyelin（SM）， and the decreased levels of diglycerides（DG） and acylethanolamine（NAE）. After the intervention of low dose of Huzhang， the above lipid metabolites showed a significant reversal trend， while the intervention of high dose of Huzhang could regulate levels of PI lipids， PG lipids and PC lipids. ConclusionHuzhang can significantly reduce the viral load of lung tissue and improve lung inflammation in RSV-infected mice. The underlying mechanism may be related to the maintenance of homeostasis in pulmonary surfactant lipids such as PI and PG.