ObjectiveTo analyze the epidemiological characteristics of 8 major respiratory pathogens in influenza-like illness (ILI) cases with acute respiratory infections at fever clinics in Huangpu District, Shanghai from 2015 to 2024, and to provide a scientific basis for the prevention and treatment of respiratory diseases. MethodsA retrospective study was conducted in Huangpu District. Individuals meeting the case definition of ILI from 2015 to 2024 was registered. Their nasopharyngeal swabs were collected for pathogen detection. A total of 8 respiratory viruses were tested, including Influenza A virus (Flu A), Influenza B virus (Flu B), adenovirus (ADV), enterovirus/human rhinovirus (EV/HRV), human parainfluenza virus (HPIV), human coronavirus (HCoV), respiratory syncytial virus (RSV), and human metapneumovirus (HMPV). ResultsFrom 2015 to 2019, a total of 344 ILI cases were tested, of which 192 out of 344 cases (55.81%) were tested positive for single respiratory pathogen. From 2023 to 2024, 1 557 ILI cases were tested, with 572 out of 1 557 cases (36.74%) being positive for single pathogen. From 2023 to 2024, the positive rate of single pathogen in ILI cases was significantly lower than that in 2015‒2019 (χ²=42.66, P<0.001). Specifically, the positive rate of Flu A (χ²=74.43, P<0.001) decreased, while that of HPIV (χ²=8.66, P=0.003) increased, both with statistically significant differences. According to the seasonal pattern, the epidemic intensity of Flu A decreased in summer, while that of HPIV increased in summer and autumn. Demographic results showed statistically significant differences in the positive rates of EV/HRV between genders (χ²=22.38, P<0.001), with males exhibiting a higher positive rate than females. No statistically significant differences were identified in the positive rates of single pathogen among different age groups (χ²=4.42, P=0.110). Nevertheless, statistically significant differences were noted when comparing the positive rates of EV/HRV, Flu A, Flu B and HPIV across different age groups (P<0.05). EV/HRV was more commonly detected in the 15‒<25 age group (10.93%), while Flu A and HPIV had the highest positive rates in the ≥60 age group (21.24% and 4.77%). Flu B had the highest positive rate in the 25‒<60 age group (11.26%). 52.63% of cases with co-infections occurred during winter, with the primary pathogens involved being EV/HRV (9 cases) and HCoV (6 cases). The most prevalent combination of co-infection was Flu A with EV/HRV. ConclusionThe prevalence of respiratory pathogens among ILI cases from 2023 to 2024 exhibited notable fluctuations compared to that from 2015 to 2019. Therefore, influenza surveillance should be strengthened, and attention should also be paid to the prevalence of respiratory pathogens such as HPIV. These findings have profound implications for future research, surveillance, vaccine planning, and public health policy making.

ObjectiveTo investigate the T lymphocyte subset levels and viral loads in newly human immunodeficiency virus (HIV) antibody-confirmed positive cases in Suzhou (2021‒2024), and to analyze potential influencing factors by integrating their demographic characteristics, immune status, and viral replication patterns, thereby providing evidence for HIV/acquired immune deficiency syndrome (AIDS) prevention and control. MethodsPeripheral whole blood samples were collected from newly confirmed HIV-positive cases in Suzhou from 2021 to 2024. T lymphocyte subset analysis and viral load testing were performed, and influencing factors were identified in combination with demographic characteristics. Logistic regression models were employed to identify factors associated with CD4⁺T lymphocyte counts ≤350 cells·μL^-1, and Spearman’s rank correlation test was used to analyze the correlation between logarithmic value of viral load and CD4⁺/CD8⁺ ratio. ResultsAmong the 3 022 confirmed HIV-positive samples, the median CD4⁺T lymphocyte count was 298.00 cells·μL^-1, with 882 cases (29.19%) showing CD4⁺ T lymphocyte counts <200 cells·μL^-1. The median CD8⁺T lymphocyte count was 1 011.00 cells·μL^-1. The median CD4⁺/CD8⁺ ratio was 0.28, with 32.46% of cases exhibiting CD4⁺/CD8⁺ ratios <0.20, and there were statistically significant differences in CD4⁺/CD8⁺ ratio among different genders, age groups, marital status, and sample sources (all P<0.05). Multivariate logistic regression analyses indicated that individuals aged ≥20 years, those who were divorced or widowed, and cases identified through medical institutions had a significantly higher proportion of CD4⁺T lymphocyte counts ≤350 cells·µL⁻¹ compared to those aged <20 years, unmarried individuals, and cases sourced from voluntary counseling and testing (VCT) clinics, respectively. The mean logarithmic value of viral load was (4.29±1.15) copies·mL^-1. The logarithmic value of viral load demonstrated a significantly negative correlation with both CD4⁺/CD8⁺ ratio (r=-0.43, P<0.001) and CD4⁺T lymphocyte count (r=-0.37, P<0.001). ConclusionA substantial proportion of newly diagnosed HIV/AIDS cases in Suzhou are late presenters with high viral load levels. Targeted interventions should prioritize high-risk populations through enhanced active surveillance and the implementation of combined T lymphocyte subsets analysis and viral load testing, which can enable earlier case-finding and timely antiretroviral therapy initiation.

ObjectiveTo explore the incidence of major low anterior resection syndrome （LARS） within six months after sphincter-preserving surgery for rectal cancer and to analyze its associated factors. MethodsClinical records， postoperative rehabilitation data and LARS scores were collected from 889 patients at 3 months postoperatively and from 844 patients at 6 months postoperatively. Patients were divided into a major LARS group and a non-major LARS group. Multivariable Logistic regression was used to analyze factors associated with major LARS at 3 and 6 months postoperatively， and the predictive value of the models was assessed using the Hosmer-Lemeshow goodness-of-fit test and the receiver operating characteristic （ROC）. ResultsAmong patients undergoing sphincter-preserving surgery for rectal cancer， 247 patients （27.8%） had major LARS at 3 months postoperatively and 181 patients （21.4%） at 6 months postoperatively. Multivariable Logistic regression showed that Kegel exercises， preoperative radiotherapy， anastomotic leakage， a tumor distance from the anal verge of ≤5 cm， and an anastomotic distance from the anal verge of ≤5 cm were independent factors for major LARS at 3 months postoperatively （P<0.05）. At 6 months postoperatively， occasional Kegel exercises during 0~3 months， Kegel exercises during 4~6 months， hydrotherapy during 4~6 months， preoperative chemotherapy， a tumor distance from the anal verge of ≤5 cm， and an anastomotic distance from the anal verge of ≤5 cm were independent factors （P<0.05）. The models at 3 and 6 months postoperatively showed goodness-of-fit test P values of 0.986 and 0.517 and area under the curve （AUCs） of 0.843 and 0.870， indicating good predictive value. ConclusionThe incidence of major LARS within six months after sphincter-preserving surgery for rectal cancer is relatively high， and greater attention should be paid to patients who receive preoperative chemoradiotherapy， develop anastomotic leakage， or have tumor and anastomotic distances from the anal verge of ≤5 cm. Patients should also be advised that early postoperative Kegel exercises and hydrotherapy may reduce the incidence of major LARS.

G protein-coupled receptors(GPCRs)are the largest family of membrane proteins in eukaryotes,with nearly 800 genes coding for these proteins.They are involved in many physiological processes,such as light perception,taste and smell,neurotransmitter,metabolism,endocrine and exocrine,cell growth and migration.Importantly,GPCRs and their ligands are the targets of approximately one third of all mar-keted drugs.GPCRs are traditionally known for their role in transmitting signals from the extracellular environment to the cell's interior via the plasma membrane.However,emerging evidence suggests that GPCRs are also localized on mitochondria,where they play critical roles in modulating mitochondrial functions.These mitochondrial GPCRs(mGPCRs)can influence processes such as mitochondrial respi-ration,apoptosis,and reactive oxygen species(ROS)production.By interacting with mitochondrial signaling pathways,mGPCRs contribute to the regulation of energy metabolism and cell survival.Their presence on mitochondria adds a new layer of complexity to the understanding of cellular signaling,highlighting the organelle's role as not just an energy powerhouse but also a crucial hub for signal transduction.This expanding understanding of mGPCR function on mitochondria opens new avenues for research,particularly in the context of diseases where mitochondrial dysfunction plays a key role.Ab-normalities in the phase conductance pathway of GPCRs located on mitochondria are closely associated with the development of systemic diseases such as cardiovascular disease,diabetes,obesity and Alz-heimer's disease.In this review,we examined the various types of GPCRs identified on mitochondrial membranes and analyzed the complex relationships between mGPCRs and the pathogenesis of various diseases.We aim to provide a clearer understanding of the emerging significance of mGPCRs in health and disease,and to underscore their potential as therapeutic targets in the treatment of these conditions.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective:To analyze the epidemiological characteristics of human metapneumovirus（hMPV）in respiratory samples from patients in Suzhou，China，and investigate the results of whole-genome sequencing，so as to provide scientific evidence for a deeper understanding of its genetic diversity and the development of preventive measures.Methods:In this study，1 340 influenza-like illness（ILI）samples and 970 severe acute respiratory infection（SARI）samples were collected from two sentinel hospitals in Suzhou in 2024. Nucleic acid detection was performed using a multiplex real-time fluorescence PCR method. For hMPV-positive samples，whole-genome sequencing was conducted on the Illumina Miseq platform. Mutations，insertions，deletions，and other variations were identified using the pathogenic virus whole-genome analysis system. A phylogenetic tree was constructed by the Maximum Likelihood method for lineage analysis.Results:Among 2 310 respiratory samples，the overall hMPV positivity rate was 1.69%（39/2 310），with positivity rates of 1.27%（17/1 340）in ILI samples and 2.27%（22/970）in SARI samples. No statistically significant difference was observed between the two groups（ P>0.05）. The proportion of mixed infections in hMPV-positive samples was 46.15%（18/39），with mixed infection rates of 23.53%（4/17）in the ILI group and 63.64%（14/22）in the SARI group. In terms of temporal distribution，the peak period of hMPV infection primarily concentrated in January and December. The whole genomes of 13 hMPV strains were successfully obtained，and 554 missense mutations were identified in the coding region，with particularly significant variations observed in the G gene region. Phylogenetic analysis revealed that 4 strains belonged to the A2b2 subtype，while 9 strains belonged to the B2 subtype. Conclusions:In Suzhou，hMPV exhibits a relatively balanced distribution between ILI and SARI clinical groups，with infection peaks mainly occurring in winter and a high proportion of mixed infections. The predominant circulating strain is the B2 subtype，and its genome shows significant genetic variation，particularly in the G gene region.

Objective:To analyze the current status and influencing factors of balance ability in elderly inpatients, and to explore the correlation between balance function and the tendency to suffer from geriatric syndromes.Methods:A total of 262 elderly patients hospitalized from April to August 2023 were selected as the research objects by convenience sampling method.A systematic health assessment was performed by professional evaluators using the "Edge Intelligent Geriatric Assessment System" software of the Jiangsu Province Hospital within one week after admission.According to the results of Performance Oriented Mobility Assessment(POMA), the subjects were divided into normal balance group(n=188), POMA score 19 to 24 group(n=36)and less than 19 score group(n=38), the differences in the tendency of the three groups of patients to develop geriatric syndromes were compared.Logistic regression analysis was used to screen the related factors and construct the regression equation.Receiver operating characteristic(ROC)curve was drawn to evaluate the predictive value of regression equation.Results:A total of 262 patients, of which 156(59.54%)were males, with an age range of 60 to 100 years(mean age 74.11±8.77 years)were included in the study.The total POMA score of 262 patients was 23.69±6.00, of which 74 cases(28.24%)had balance dysfunction.Univariate analysis showed that there were significant differences in age( t=20.356, P<0.001), serum albumin( t=3.999, P=0.019), proportions of people suffering from depression, frailty, sarcopenia, sleep disorders, nutrition risk and high fall risk between patients with different balance ability( χ2=10.250, 76.763, 101.728, 37.805, 22.472, 75.095, all P<0.05).Binary logistic regression model showed that age, sarcopenia, suspected insomnia, insomnia, and nutritional risk were independent predictors of balance ability in elderly patients(OR=1.071, 12.424, 6.719, 8.321, 3.440, all P<0.05).The above related variables were included in the regression equation: Logit(P)=-8.792+ 0.069×age+ 2.520×sarcopenia+ 1.905×suspected insomnia+ 2.119×insomnia+ 1.236×nutritional risk.ROC curve analysis showed that the area under the curve(AUC)was 0.902(95% CI: 0.857-0.946, P<0.001), the predictive specificity was 86.17% and the sensitivity was 85.14%. Conclusions:Age≥75.5 years, sarcopenia, sleep disorders, and nutritional risk could be used as predictors of balance disorders in elderly inpatients.The regression model constructed based on these indicators has a good predictive value.The establishment of the edge intelligent geriatric assessment system promotes the improvement of medical information level.

Objective:To investigate the distribution of health needs and healthcare workforce demands among potential service users in community health service institurions (CHSIs) and establish a comprehensive health needs profile for targeted service development.Methods:This is a cross-sectional study. A questionnaire survey (55 items for adults and 39 items for minors) was conducted among 564 residents aged 3-65 in Dapuqiao Subdistrict, Shanghai from March to May 2024. A health sketch model was developed, encompassing five dimensions (intake, basal metabolism, consumption, influencing factors, and somatosensory perception). Health issues were mapped to standardized healthcare services, and annual standardized workloads (SW) were calculated to quantify human resource demands. Results:Among 534 valid responses (94.68% response rate), 355 from the adults and 179 from minors, the top health issues for adults were irregular diet, nutritional imbalance, obesity, somatic fatigue, and disordered eating; for minors, they were nutritional imbalance, medication overuse, insufficient physical activity, picky eating, and anorexia. The total annual SW required to address these needs was 3 906 807.93. Among them, the total SW for each age group was as follows: the total annual SW demand for children aged between 3 and 5 years old was 24 108.90, for children aged between 6 and 11 years old was 141 355.70, for adolescents aged between 12 and 17 years old was 29 813.74, 223 475.50 for 18-24 year olds, 476 426.53 for 25-34 year olds, 1 221 105.84 for 35-44 year olds, 812 200.22 for 45-54 year olds; and 978 321.50 for 55-65 year olds. Workforce allocation analysis revealed a total demand for 139.84 standardized personnel, with rehabilitation therapists (38.16), general practitioners (35.69), and nurses (27.34) being the top three required roles.Conclusions:Health needs and workforce demands vary significantly across age groups. This study provides a data-driven framework for optimizing community health services through stratified health needs profiling and precision resource allocation. Future strategies should prioritize tailored interventions and workforce planning to bridge service gaps and enhance health outcomes.

Objective:To investigate the descrepancy between current supply and demand based on standardiized workload for rational human resource allocation in community health service centers.Methods:A retrospective study was conducted in Dapuqiao Community Health Service Center of Shanghai Huangpu District from January 1st to December 3lst 2023. The current status of demand and supply were analyzed using the 2023 data of the institution. The standardised workload was measured according to the potential basic medical and public health service needs based on the disease profile and population groups in the community. The discrepancy between the current supply and theoretical demand was analyzed.Results:A total of 36 634 patients paid 277 262 visits in outpatient clinics of Dapuqiao Community Health Service Center in 2023. There are total 161 employees in the center, 124 of whom are female (77.02%). The actual calibrated workload of basic medical care and public health service in the center calculated on fee-based medical service items in 2023 was 2 888 425.61 and 455 898.35, respectively; while the theoretically calibrated workload was 5 416 492.42 and 711 230.94, respectively. The center employed 131 medical and health workers currently, calibrated as 90.67 employees based on current demand, while it should be 183.74 calibrated on the theoretical demand, there was a certain discrepancy between the current staffing and the standard staffing based on the standardized workload calculation.Conclusion:At present, the actual standardized workload of basic medical and public health services in Dapuqiao Community Health Service Center still has room for improvement, but there is a certain gap between the current human resource allocation and the demand.

Objective To develop and validate a model to predict the risk of radiation-induced lung injury (RILI) and assess its clinical feasibility. Methods Clinical data from 125 patients with non-small cell lung cancer (NSCLC) were included in the study. The patients were divided into training group (88 cases) and validation group (38 cases). Key predictive factors were identified using univariate and multivariate logistic regression analyses combined with least absolute shrinkage and selection operator (LASSO) regression. A predictive model was constructed and evaluated using a nomogram, receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results The key variables identified by the model were tumor volume (P = 0.017), Eastern Cooperative Oncology Group performance status score (P = 0.035), 95% of the minimum dose to the target volume (P = 0.028), percentage of bilateral lung volume receiving 20 Gy of radiation (P < 0.001), and neutrophil-to-lymphocyte ratio (P = 0.021). The ROC curve showed that the areas under the curve (AUC) for the model in the training and validation groups were 0.987 and 0.992, respectively, indicating good predictive ability. The calibration curve and decision curve further confirmed the accuracy and clinical practicability of the model. Conclusion The predictive model proposed in this study can accurately assess the risk of developing RILI in patients with NSCLC who have undergone radiotherapy, demonstrating its potential value in clinical practice.