Artificial intelligence （AI） is gradually being applied in the field of decision-making support for the daily care of the older adults with disabilities. However， due to their limited cognitive functions， information asymmetry with medical staff and technical parties， and a certain degree of emotional deprivation， the older adults with disabilities are in a structurally vulnerable position. Against this background， several ethical dilemmas arise when AI technology intervenes in care decision-making. First， the informed consent process is difficult to genuinely implement. Second， algorithms based on average models tend to ignore individual differences， leading to “de-personalization” of services. Third， over-reliance on technology may further weaken humanistic care， thereby undermining the individual dignity of the older adults with disabilities. Fourth， in the care decision-making involving the joint participation of the older adults with disabilities， caregivers， medical teams， and AI systems， the boundaries of responsibility among all parties remain unclear， making it difficult to assign accountability when adverse outcomes occur. Drawing on the theories of vulnerability ethics， interactive ethics， and care ethics， this paper proposes a “vulnerability-interaction-care” path and put forward three-tiered countermeasures. The first was baseline safeguards， preventing the exploitation of the vulnerability of the older adults with disabilities and their caregivers， and requiring further safeguards for their dignity. The second was process protection， enhancing transparency and accountability within the human-machine collaboration framework， as well as establishing a multi-party consultation mechanism. The third was capacity empowerment， improving the subjectivity of the older adults with disabilities through age-appropriate interaction， structured expression of intentions， and caregiver participation.

ObjectiveTo investigate the therapeutic efficacy， influencing factors， and safety of a treatment regimen based on coblopasvir hydrochloride capsules/sofosbuvir tablets in patients with chronic hepatitis C virus （HCV） infection in a real-world setting. MethodsA total of 253 patients who attended The Third People’s Hospital of Kunming from September 1， 2021 to May 31， 2024 were enrolled， among whom there were 86 patients with compensated liver cirrhosis （CLC group） and 167 patients with chronic hepatitis C （CHC group）. The patients were treated with coblopasvir hydrochloride capsules （60 mg）/sofosbuvir tablets （400 mg） with or without ribavirin tablets for 12 weeks， and they were followed up for 12 weeks after drug withdrawal. The primary outcome measures were the rate of sustained virologic response at week 12 after treatment （SVR12） and safety， and the secondary outcome measures were the changes in liver function， renal function， blood routine， and liver stiffness measurements （LSM） after 4 weeks of treatment， after 12 weeks of treatment， and at 12 weeks after drug withdrawal. The independent-samples t test and the Mann-Whitney U test were used for comparison of continuous data between two groups， and the Friedman test was used for comparison between multiple groups， while the Bonferroni method was used for paired comparison within each group； the chi-square test was used for comparison of categorical data between two groups. The Logistic analysis was used to investigate related influencing factors. ResultsThe 253 patients with chronic HCV infection had a mean age of 49.38±8.65 years， and there were 151 male patients （59.7%）. Of all patients， 33.99% （86/253） had liver cirrhosis， 25.69% （65/253） had hypertension， 10.67% （27/253） had HIV infection， 8.70% （22/253） had diabetes， 3.95% （10/253） had liver cancer， 1.98% （5/253） had chronic hepatitis B， and 7.91% （20/253） were treatment-experienced patients. As for genotype distribution， 2.77% （7/253） had genotype 1， 12.65% （32/253） had genotype 2， 66.01% （167/253） had genotype 3， 16.60% （42/253） had genotype 6， and 1.98% （5/253） had unknown genotype. The patients had an overall SVR12 rate of 92.09%， with an SVR12 rate of 93.02% in the CLC group and 91.02% in the CHC group. The multivariate logistic regression analysis showed that age （odds ratio ［OR］=1.086， 95% confidence interval ［CI］： 1.007 — 1.170， P=0.032） and HCC （OR=9.178， 95%CI： 1.722 — 48.912， P=0.009） were independent influencing factors for sustained virologic response. Compared with baseline data， the CLC group had significant reductions in alanine aminotransferase （ALT） （χ²=107.103， P0.05）， aspartate aminotransferase （AST） （χ²=90.602， P0.05）， and LSM （χ²=42.235， P0.05） after 12 weeks of treatment， while the CHC group had significant reductions in total bilirubin （χ²=15.113， P0.05）， ALT （χ²=202.237， P0.05）， AST （χ²=161.193， P0.05）， and LSM （χ²=37.606， P0.05）. The incidence rate of serious adverse events was 1.58%， and none of the patients withdrew from drug therapy； the patients with such events were relieved after active symptomatic treatment. The incidence rate of all adverse events was 23.72%， among which fatigue （17.39%） and nausea （2.37%） were the most common adverse events， and these events often disappeared within 2 weeks or were gradually relieved after symptomatic treatment. ConclusionCoblopasvir hydrochloride capsules/sofosbuvir tablets with or without ribavirin tablets has good efficacy and safety in the treatment of chronic HCV infection.

Objective: To investigate the influencing factors for kinesiophobia among elderly patients with chronic obstructive pulmonary disease (COPD), so as to provide the reference for alleviating kinesiophobia among COPD patients. Methods: From December 2023 to July 2024, COPD patients aged 60 years and above who sought medical treatment at a tertiary grade-a hospital in Guiyang City were selected. Demographic information was collected through questionnaire surveys. Kinesiophobia, exercise self-efficacy, social support, type D personality and coping styles were assessed using the Chinese version of Tampa Scale for Kinesiophobia, the Chinese version of the Self-Efficacy for Exercise Scale, Social Support Rating Scale, Type D Personality Scale and Chinese version of the Medical Coping Modes Questionnaire, respectively. Factors affecting kinesiophobia among elderly patients with COPD were analyzed using a multiple linear regression model. Results: A total of 300 COPD patients were surveyed, including 238 males (79.33%) and 62 females (20.67%). The majority of patients had a disease duration of less than 5 years, with 130 cases (43.33%). The average kinesiophobia score was (48.01±7.74) points. The average exercise self-efficacy score was (3.39±1.01) points. The average social support score was (34.42±6.76) points. There were 280 patients (93.33%) with type D personality. The average scores of the confrontation, avoidance, and resignation dimensions of coping styles were (17.42±5.00), (13.76±1.91), and (11.81±2.95) points, respectively. Multiple linear regression analysis showed that age (70-<80 years, β'=0.124; ≥80 years, β'=0.205), educational level (primary school and below, β'=0.228; junior high school, β'=0.182), household monthly income per capita (<3 000 yuan, β'=0.234; 3 000~<5 000 yuan, β'=0.165), social support (β'=0.294), type D personality (β'= 0.170), and coping styles (confrontation dimension, β'=-0.140; avoidance dimension, β'=0.154; resignation dimension, β'=0.175) statistically associated with kinesiophobia among elderly patients with COPD. Conclusion Kinesiophobia among elderly patients with COPD is associated with age, educational level, household monthly income per capita, social support, type D personality and coping styles.

BACKGROUND: Huaier granule is an important medicinal fungus extract widely used in cancer treatment. Previous retrospective studies have reported its effectiveness in breast cancer patients, but the imbalanced baseline characteristics of participants could have biased the results. Therefore, this retrospective study aimed to examine the efficacy of Huaier granule on the prognosis of breast cancer patients. METHODS: In this single-center cohort study, breast cancer patients diagnosed and treated at the Guangdong Provincial Hospital of Chinese Medicine between 2009 and 2017 were selected. The data were retrospectively analyzed and divided into two groups according to whether the patients received Huaier granules. The propensity score matching (PSM) method was used to eliminate selection bias. The disease-free survival (DFS) and overall survival (OS) for these groups were compared using the Kaplan-Meier method and the Cox regression. RESULTS: This study included 214 early invasive breast cancer patients, 107 in the Huaier group and 107 in the control group. In the Kaplan-Meier analysis, the 2-year and 5-year DFS rates were significantly different in the Huaier group and control group (hazard ratio [HR], 0.495; 95% confidence interval [CI], 0.257-0.953; P = 0.023). The 2-year and 5-year OS rates were also significantly different (HR, 0.308; 95% CI, 0.148-0.644; P = 0.001). On multivariable Cox regression, Huaier granule was associated with improved DFS (HR, 0.440; 95% CI, 0.223-0.868; P = 0.018) and OS (HR, 0.236; 95% CI, 0.103-0.540; P = 0.001). CONCLUSION In this retrospective study, Huaier granules improved the DFS and OS of early invasive breast cancer patients, providing real-world evidence for further prospective studies on treating breast cancer with Huaier granules.
Humans ; Breast Neoplasms/mortality* ; Retrospective Studies ; Female ; Propensity Score ; Middle Aged ; Adult ; Prognosis ; Disease-Free Survival ; Kaplan-Meier Estimate ; Aged ; Proportional Hazards Models ; Complex Mixtures/therapeutic use* ; Drugs, Chinese Herbal/therapeutic use* ; Trametes

In this study, the reductive amination method was used to label IR783 on Astragalus polysaccharides(APS) for the first time, which was verified by ultraviolet-visible spectroscopy and infrared spectroscopy. Quantitative analysis methods of APS-IR783 in plasma and various tissue were established using a multifunctional microplate reader. The pharmacokinetics and tissue distribution of APS-IR783 in mice were investigated after a single intravenous injection of 30 mg·kg~(-1) APS-IR783, and pharmacokinetic parameters were calculated using DAS 2.0 software. The results showed that the APS used had a mass fraction of 93.69%, a relative molecular weight of 1.55×10~5, and a polydispersity index(PDI, M_w/M_n) of 1.73, close to a homogeneous polysaccharide. The IR783 labeling yield reached 86.50%, and the content of IR783 in APS-IR783 was 0.72%. After a single intravenous injection of 30 mg·kg~(-1), the pharmacokinetic parameters of APS in mouse plasma were as follows: T_(max) was(0.67±0.26) h; C_(max) was(1 599.29±159.30) mg·L~(-1); T_(1/2α) and T_(1/2β) were(2.29±3.06) h and(0.44±0.05) h, respectively; AUC_(0-t) was(23 398.91±2 907.03) mg·h·L~(-1); AUC_(0-∞) was(27 710.55±3 506.55) mg·h·L~(-1); MRT_(0-∞) was(34.38±12.59) h; CL was 0.001 L·h~(-1)·kg~(-1); V_z was(0.042±0.017) L·kg~(-1). The in vivo biodistribution study demonstrated that the in vivo exposure ratios of APS in different tissue were in the following order: spleen > liver > kidney > lung > heart > small intestine > muscle > large intestine > brain > stomach, where the top five tissue accounted for 87.54% of the total area under the curve(AUC). This study successfully labeled APS with a water-soluble near-infrared fluorescent probe of IR783 for the first time and revealed the pharmacokinetics and tissue distribution of APS in mice. The paper provides detailed in vivo behavior of APS after intravenous injection, which lays the foundation for the development and utilization of APS and related natural medicines.
Animals ; Mice ; Polysaccharides/chemistry* ; Tissue Distribution ; Astragalus Plant/chemistry* ; Male ; Drugs, Chinese Herbal/chemistry* ; Fluorescent Dyes/pharmacokinetics* ; Female

OBJECTIVE: To investigate the differences in indwelling duration, clinical scenarios, and complications between the modified midline catheter (MMC) and the central venous catheter (CVC) in the treatment of patients in the medical intensive care unit (ICU) and the risk factors for complications based on real-world data. METHODS: A retrospective cohort study was conducted. The adult patients admitted to the medical ICU of the Third Xiangya Hospital of Central South University and had undergone placement of either a MMC or a CVC between January 1, 2023, and July 31, 2024, were consecutively enrolled by querying the hospital's electronic medical record system. Based on the type of catheter inserted, the patients were divided into the MMC group and the CVC group. The two groups were compared regarding the selection of catheters in the context of different underlying diseases, the actual clinical application after catheterization, catheter-related complications, the international normalized ratio (INR) and platelet count (PLT) during puncture and catheterization, the length of ICU stay, total length of hospital stay, catheter indwelling duration, and mortality during hospitalization. Multivariate Logistic regression analysis was employed to identify independent risk factors for catheter removal. RESULTS: Among the 274 patients, 52 received a MMC and 222 received a CVC. The utilization rate of MMC was significantly higher than that of CVC in patients with acute respiratory distress syndrome (ARDS), cardiovascular disease, and cancer [ARDS: 92.3% (48/52) vs. 70.3% (156/222), cardiovascular disease: 84.6% (44/52) vs. 54.5% (121/222), cancer: 30.8% (16/52) vs. 17.1% (38/222), all P < 0.05]. However, the use of MMC was significantly lower than CVC when vasoactive drug infusion was required [57.7% (30/52) vs. 79.7% (177/222), P < 0.05]. A significantly higher proportion of patients in the MMC group had a catheter indwelling time ≥ 12 days as compared with the CVC group [32.7% (17/52) vs. 13.5% (30/222), P < 0.05]. There were no statistically significant differences in other underlying diseases, venous access usage, INR and PLT during puncture and catheterization, length of ICU stay, total length of hospital stay, and in-hospital mortality of patients between the two groups. Regarding catheter-related complications, although the incidence of partial or complete catheter removal in the MMC group was significantly higher than that in the CVC group [36.5% (19/52) vs. 5.4% (12/222), P < 0.05], the incidence of puncture site fluid leakage, puncture site skin allergy, and deep vein thrombosis were significantly lower than those in the CVC group [puncture site fluid leakage: 1.9% (1/52) vs. 22.1% (49/222), puncture site skin allergy: 0% (0/52) vs. 20.7% (46/222), deep vein thrombosis: 3.8% (2/52) vs. 16.7% (37/222), all P < 0.05]. Furthermore, the proportion of patients experiencing three or more types of complications in the MMC group was significantly lower than that in the CVC group [5.8% (3/52) vs. 17.6% (39/222), P < 0.05]. Multivariate Logistic regression analysis of risk factors for catheter removal identified the use of a MMC [odds ratio (OR) = 8.518, 95% confidence interval (95%CI) was 3.710-19.560, P < 0.001] and a catheter indwelling time ≥ 12 days (OR = 3.133, 95%CI was 1.297-7.567, P = 0.011) as independent risk factors. CONCLUSIONS MMC was more frequently used in patients with ARDS, cardiovascular disease, and cancer, whereas CVC was primarily employed for vasoactive drug infusion. The use of MMC and a longer indwelling time were identified as independent risk factors for catheter removal. Despite a higher removal rate, the overall incidence of complications was significantly lower with MMC than with CVC. These findings suggest that MMC could serve as a routine alternative to CVC in most of clinical scenarios, provided that measures are implemented to prevent removal.
Humans ; Retrospective Studies ; Intensive Care Units ; Catheterization, Central Venous/methods* ; Central Venous Catheters ; Risk Factors ; Length of Stay ; Male ; Female ; Middle Aged ; Adult ; Catheters, Indwelling ; Aged

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objective: To analyze the serological characteristics of anti-Mur antibodies and investigate the distribution frequency of the Mur antigen among voluntary blood donors in Shiyan, thereby providing a basis for guiding clinical transfusion and establishing a Mur blood type database. Methods: ABO blood grouping of donors and patients was performed using an automated blood typing analyzer and the gel card method, respectively. Unexpected antibody screening and identification were performed using the saline, tube anti-human globulin, and polybrene methods. The specificity of anti-Mur antibodies was confirmed using Fisher's exact probability test. Plasma treated with 2-mercaptoethanol was used to distinguish IgM and IgG antibodies. IgM and IgG anti-Mur titers were determined by the saline tube method and the anti-human globulin tube method, respectively, at 4℃, room temperature, and 37℃. A total of 1 659 donor red blood cell samples were initially screened for the Mur antigen phenotype using three samples of human-derived anti-Mur plasma by the micro-tube method. Donors who tested positive for Mur antigen were further tested by the direct antiglobulin test (DAT); those with negative results were confirmed for Mur antigen by the gel card and polybrene methods. Results: Three blood samples were identified to contain mixed IgG and IgM anti-Mur antibodies. The titers of both IgM and IgG anti-Mur antibodies were highest at 4℃, intermediate at room temperature, and lowest at 37℃. The positive frequency of the Mur antigen among voluntary blood donors in Shiyan was 1.99% (33/1 659). Conclusion: anti-Mur antibodies were detected in both blood donors and patients in our region. The Mur antigen shows a certain distribution frequency among voluntary blood donors in Shiyan. Screening for the Mur blood type and establishing a corresponding database could enhance transfusion safety.

Stem cell treatment may enhance erectile dysfunction (ED) in individuals with cavernous nerve injury (CNI). Nevertheless, no investigations have directly ascertained the implications of varying amounts of human umbilical cord-derived mesenchymal stem cells (HUC-MSCs) on ED. We compare the efficacy of three various doses of HUC-MSCs as a therapeutic strategy for ED. Sprague-Dawley rats (total = 175) were randomly allocated into five groups. A total of 35 rats underwent sham surgery and 140 rats endured bilateral CNI and were treated with vehicles or doses of HUC-MSCs (1 × 10 6 cells, 5 × 10 6 cells, and 1 × 10 7 cells in 0.1 ml, respectively). Penile tissues were harvested for histological analysis on 1 day, 3 days, 7 days, 14 days, 28 days, 60 days, and 90 days postsurgery. It was found that varying dosages of HUC-MSCs enhanced the erectile function of rats with bilateral CNI and ED. Moreover, there was no significant disparity in the effectiveness of various dosages of HUC-MSCs. However, the expression of endothelial markers (rat endothelial cell antigen-1 [RECA-1] and endothelial nitric oxide synthase [eNOS]), smooth muscle markers (alpha smooth muscle actin [α-SMA] and desmin), and neural markers (neurofilament [RECA-1] and neurogenic nitric oxide synthase [nNOS]) increased significantly with prolonged treatment time. Masson's staining demonstrated an increased in the smooth muscle cell (SMC)/collagen ratio. Significant changes were detected in the microstructures of various types of cells. In vivo imaging system (IVIS) analysis showed that at the 1 st day, the HUC-MSCs implanted moved to the site of damage. Additionally, the oxidative stress levels were dramatically reduced in the penises of rats administered with HUC-MSCs.
Male ; Animals ; Erectile Dysfunction/metabolism* ; Rats, Sprague-Dawley ; Mesenchymal Stem Cell Transplantation/methods* ; Rats ; Penis/pathology* ; Humans ; Disease Models, Animal ; Umbilical Cord/cytology* ; Peripheral Nerve Injuries/complications* ; Mesenchymal Stem Cells ; Nitric Oxide Synthase Type III/metabolism* ; Actins/metabolism* ; Nitric Oxide Synthase Type I/metabolism*

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*