Objective: To analyze the time-related factors influencing daily blood donation attendance at fixed donation sites in Nanjing and the heterogeneity among sites, and to provide evidence for optimizing site layout and operational management. Methods: Based on daily attendance data from 17 fixed donation sites in Nanjing for the full year of 2025, matched with contemporaneous meteorological and air quality data, a two-stage negative binomial generalized linear mixed model (NB-GLMM) was constructed. In the second stage, site-level static characteristics (number of scenic spots, daily operating hours, number of shopping malls, public transport stops, hospitals, universities, and residential buildings) were additionally incorporated. Model comparison was performed using Akaike information criterion (AIC). Significance of random effects was tested by likelihood ratio test, and site-specific random effects were extracted using empirical Bayes estimation. Robustness of the results was verified through residual diagnostics and multiple sensitivity analyses. Results: The first-stage model showed that rainfall was associated with lower attendance (IRR=0.943, P<0.001); holidays were associated with higher attendance (IRR=1.162, P<0.001); Saturdays and Sundays showed higher attendance than Mondays, with the strongest association on Sundays (IRR=1.195, P<0.001). Temperature exhibited a non-linear relationship (linear term P=0.051, quadratic term P=0.036). The joint results of the linear and quadratic terms for temperature suggested a nonlinear relationship between attendance and temperature. After introducing static characteristics in the second stage, the number of scenic spots (IRR=1.372, P=0.008) and daily operating hours (IRR=1.823, P<0.001) were found to be positively associated with attendance, while the numbers of shopping malls, public transport stops, hospitals, universities, and residential buildings showed no significant effects. Conclusion: Daily blood donation attendance at fixed sites in Nanjing is influenced by multiple factors including weather, day of the week, holidays, and site surroundings. Substantial heterogeneity exists among different sites; extended operating hours and more nearby scenic spots are associated with increased attendance.

Objective: To evaluate the feasibility of re-entry for blood donors deferred for single-reagent reactive anti-TP ELISA results, to assess the ability of ELISA S/CO values of different kits to discriminate true-from false-positive samples and to determine the optimal cutoff value for each kit, thereby providing a scientific basis for improving blood donor reentry strategies. Methods: Data of two donor cohorts were retrospectively collected: (1) a re-entry cohort of 106 donors who applied for re-entry at Jiangsu Province Blood Center from January 1, 2018 to December 31, 2025, all previously deferred for single-reagent reactive anti-TP ELISA results (58 reactive with the Xinchuang kit and 48 with the Kehua kit); (2) a routine screening confirmation cohort of 39 donors found to be single-reagent reactive in routine donation screening and additionally tested by TPPA between April 2024 and June 2026 (17 Xinchuang and 22 Kehua). Using TPPA results as the gold standard, the two cohorts were pooled (75 Xinchuang, 70 Kehua), and receiver operating characteristic (ROC) curves were constructed separately for each kit. The 95% confidence interval (CI) of the area under the curve (AUC) was estimated with 2 000 bootstrap replicates, and the optimal S/CO cutoff of each kit was determined by the maximum Youden index; sensitivity analysis was performed by cohort source. In addition, TPPA-confirmed positivity rates were compared between single-and dual-reagent reactive samples at re-entry testing. Results: Of the 106 donors in the re-entry cohort, 73 were successfully requalified and 33 failed. The mean S/CO value at deferral testing in successfully requalified donors was 1.930 (median 1.570), significantly lower than 3.487 (median 2.592) in failed donors (P<0.001). Among the 33 donors who failed requalification, 16 samples were TPPA positive; at re-entry testing, 7 were dual-reagent reactive (6 TPPA positive), 25 remained single-reagent reactive (9 TPPA positive), and 1 was ELISA non-reactive (TPPA positive). The TPPA positivity rate of dual-reagent reactive samples at re-entry testing was 85.7% (6/7), significantly higher than 36.0% (9/25) of single-reagent reactive samples (P=0.033); the agreement between the two kits at re-entry testing was poor (Kappa=0.231). ROC analysis of pooled samples showed that for the Xinchuang kit (n=75, 14 TPPA positive), the AUC was 0.837 (95%CI:0.731-0.929) with an optimal cutoff of 2.025, corresponding to a sensitivity of 92.9% (13/14), a specificity of 65.6% (40/61) and a negative predictive value of 97.6% (40/41); for the Kehua kit (n=70, 13 TPPA positive), the AUC was 0.787 (95%CI:0.649-0.900) with an optimal cutoff of 1.733, corresponding to a sensitivity of 92.3% (12/13), a specificity of 56.1% (32/57) and a negative predictive value of 97.0% (32/33). Sensitivity analysis by cohort showed that the AUCs calculated separately for the re-entry and screening cohorts were consistent in direction with the pooled analysis. Conclusion: S/CO values of both the Xinchuang and Kehua ELISA kits can discriminate TPPA-confirmed true from false positives, but their optimal cutoffs differ. Dual-reagent reactivity at re-entry testing strongly indicates TPPA-confirmed positivity; the TPPA positivity rate of single-reagent reactive samples increases in a gradient with rising S/CO values, and single-reagent reactive samples with low S/CO values are mostly false positives. Incorporating kit-specific stratified management based on quantitative S/CO thresholds into the re-entry mechanism may help establish a fast-track re-entry pathway for low-risk false-positive donors.

Objective: To explore the micro associations and key bridge nodes between physical fitness indicators and anxiety/depressive symptoms among college students using network analysis, so as to provide a theoretical foundation for promoting physical and mental health of college students. Methods: From September to October 2025, a combination of purposive sampling and cluster sampling was employed to select 2 158 college students from three universities in Xuzhou City. Seven physical fitness indicators were measured and standardized according to the National Student Physical Health Standard. The Generalized Anxiety Disorder Scale-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were used to assess anxiety and depressive symptoms. Independent samples t-test was used for intergroup comparisons of physical fitness indicators and psychological symptom scores. A gaussian graphical model (GGM) was constructed to calculate node and bridge strength, followed by stability analyses. Results: The detection rates of anxiety and depressive symptoms among college students were 21.3% and 24.5%, respectively. Male participants demonstrated superior performance in physical fitness indicators such as vital capacity, 50 meter sprint, and standing long jump compared to female participants, whereas females exhibited better results in the sit and reach test ( t =48.35, -44.82 , 70.21, -16.51, all P <0.01). Regarding psychological indicators, female participants showed higher scores of anxiety and depressive symptoms than males ( t =-4.15, -4.46, both P <0.01). Physical fitness and psychological symptoms were predominantly negatively correlated. "feeling tired" and "not being able to stop or control worrying" were the symptoms with the highest centrality in the network of physical fitness and phychological symptoms among college students (standardized strengths were 2.15 and 1.98, respectively). Among the bridge indicators, the "1 000 m (male)/800 m (female) run" exhibited the highest strength (0.85), outperforming "vital capacity" (0.35); it was linked to the symptom cluster primarily by negatively predicting "feeling tired" (edge weight=-0.38). The network stability was excellent of physical fitness and phychological symptoms among college students (correlation stability coefficient= 0.60 ). Conclusions Endurance capacity serves as the most critical bridge connecting physical and mental health, and its decline is closely related to intensified feelings of fatigue. Colleges should prioritize endurance training as a core target for promoting college students mental health.

This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.

Objective:To analyze the human immunodeficiency virus (HIV) screening status and the resulting residual risk (RR) among blood donors across 17 provincial blood centers in China.Methods:This study used a cross-sectional study. Data on HIV infection markers per 100 000 first-time donors (FD) and repeat donors (RD) from January 2015 to December 2024 were extracted from the National Blood Establishment Performance Comparison Information Management System. Questionnaires were used to collect each center′s HIV screening strategy, algorithm, serological test (ST) kit manufacturers, gray-zone setting for ST, and nucleic acid test (NAT) modality, method, and platform. The incidence-window-period model was used to calculate the residual risk for first-time donors (RR FD), repeat donors (RR RD), and total donors (RR TD) at each center. Horizontal and vertical analysis of RR FD, RR RD, and RR TD across centers and years were performed. Results:All 17 centers applied the same HIV screening strategy which was two rounds of ST followed by one round of NAT. Eight of them operated a single screening algorithm, six employed two algorithms and three used three. Eleven centers used both imported and domestic ST kits, five relied on domestic ST kits only, and one used imported ST kits only, while four centers never set a grey zone for ST throughout the decade. For NAT modalities, eight centers adopted both individual nucleic acid test (ID-NAT) and minipool nucleic acid test (MP-NAT), eight used MP-NAT only and one used ID-NAT only. Seven centers combined transcription mediated amplification (TMA) and polymerase chain reaction (PCR), nine used PCR only and one used TMA only, and fourteen centers ran both imported and domestic NAT systems, two used imported systems only and one used a domestic system only. Over the ten-year period, the mean RR FD across the centers ranged from 2.22 to 12.33 per 10 6 person-years, RR RD from 0.83 to 3.29 per 10 6 person-years and RR TD from 1.59 to 9.29 per 10 6 person-years, with center Z4 consistently showing the lowest values for all three metrics and center U4 recording the highest RR FD and RR TD, while center D2 had the highest RR RD. In 2024 compared with 2015, eleven centers achieved a lower RR FD and ten centers achieved lower RR RD and RR TD. The RR FD and RR TD of centers W2 and U4 displayed pronounced fluctuations and an upward trend in recent years. Conclusions:The 17 provincial blood centers maintain consistent HIV screening strategies, while demonstrating variations in screening algorithm, ST kit manufacturers, NAT modalities, methods, and platform. And the RR FD, RR RD, and RR TD differ across centers. Although most centers show declining trend in RR over the ten-year period, some centers exhibite data fluctuations with a rising trend, suggesting potential for further optimization of HIV screening protocols.

Objective To investigate the attention characteristics of patients with stable schizophrenia.Methods Fifty-five stable schizophrenic patients and 55 healthy subjects were included in the study.The attention network test paradigm(ANT paradigm)was used to measure the attention of participants.The observed indexes included reaction time under four cues and three stimulus types and converted reaction time(alerting network,orienting network,and executive control network).Results Under different cue prompts and stimulus conditions,the reaction time of patients with stable-phase schizophrenia was higher than that of the control group(P<0.001).The alerting network[25.43(11.71,42.53)ms vs.39.32(27.46,51.98)ms,P=0.020]and executive control network[96.17(36.32,160.13)ms vs.44.43(18.52,89.73)ms,P<0.001]in the patient group were significantly lower than those in the control group,while there was no significant difference in the orienting network compared to the control group(P=0.136).Conclusion Patients with stable schizophrenia show significant impairment in the efficiency of the alerting and executive control networks,while the orienting network is not significantly impaired.

Objective By analyzing the causes of coding errors of lower extremity arteriosclerosis occlusion with throm-bosis and the endovascular intervention,explore the principle diagnosis and intervention coding rules to improve coding quality.Methods Inpatient medical records with the principle diagnosis codes of I70-I74 and I77 accompanied by endovascular interven-tional from January 1,2023 to December 31,2023 were retrieved from a tertiary hospital.A retrospective study was conducted to analyze the causes of coding errors.Results A total of 924 eligible cases were selected.There were 41 principle diagnosis cod-ing errors,with an error rate of 4.43％,among which the lower limb atherosclerosis coding had the highest error rate,accounting for 1.30％.There were 46 intervention coding errors,with an error rate of 4.98％,among which the percutaneous thrombectomy had the highest error rate.The main reason for coding errors was insufficient reading of medical record.Conclusion The coding error rate of the principle diagnosis of lower extremity arteriosclerosis occlusion and the endovascular intervention were relatively high.Therefore,it is necessary to continuously strengthen the training of clinicians and coders,including the coding rules and clinical knowledge of specialized disciplines,actively communicate between coders and clinicians,establish a quality control and assessment system,so as to improve the coding quality.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Cancer patients often experience worsening pain due to the limitations of traditional pharmacological treatments. This paper explores the innovative application of multi-agent systems in this field. As a key component of artificial intelligence, multi-agent systems assist healthcare providers in making intelligent decisions and interventions based on patients' conditions, and can collaborate with other smart devices to provide personalized care. This review discusses the concept of multi-agent systems, their application in pain management, and the potential challenges and countermeasures, aiming to provide guidance for the intelligent management of cancer patient pain.

The number of maintenance hemodialysis patients in China has been steadily increasing. With the continuous iteration of technological innovations, healthcare has entered a new phase of digital healthcare development. This paper summarizes the overview and development of digital healthcare and its application in patients with maintenance hemodialysis. It also discusses existing challenges and corresponding strategies, aiming to provide references for the development of digital healthcare in hemodialysis.