Objective: To analyze the causes of abnormal blood agglutination caused by high-titer cold antibodies in blood donors from a serological perspective. Methods: The donor's blood type was identified using the tube method. Direct antiglobulin test (DAT), indirect antiglobulin test (IAT), and antibody titer detection were performed on the samples. Results: The blood type of the donor was type B, and the DAT was negative. No complement components were detected on the surface of the donor's red blood cells. The supernatant of the suspended red blood cells was clear without abnormal coloration, and the agglutinated clumps were intact and difficult to dissociate. The antibody was identified as an IgM-type anti-IH cold agglutinin. At 4℃, this antibody reacted with autologous red blood cells, adult group B red blood cells, adult group O red blood cells, cord blood group B red blood cells and cord blood group O red blood cells, with a stronger reaction intensity observed with group O cells than with B cells. The titers were 512, 128, 256, 32 and 128, respectively. Conclusion: High-titer anti-IH can cause abnormal agglutination of blood at low temperatures. During blood distribution and clinical use, the appearance of blood products shall be strictly inspected to prevent the release of non-conforming blood products.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Objective: To explore the effect of a computer assisted audiovisual combined intervention model on the core symptoms of children with autism spectrum disorder (ASD), in order to provide references for enriching intervention and treatment methods for ASD children. Methods: From December 2023 to March 2024, 36 ASD children aged 4-8 years were recruited from Tianjin Disabled Persons Rehabilitation Center and Xinxinyu Children s Rehabilitation Center, and were divided into a training group (22 cases) and a control group (14 cases). The training group completed a 12 week audiovisual training course (visual sessions:twice a week, for 50-60 minutes each session; auditory sessions:three times a week, for 15 minutes each time), while the control group received only conventional treatment interventions. Before and after the intervention, the core symptoms of ASD children were assessed using the Short Sensory Profile (SSP), Social Responsiveness Scale (SRS), and Repetitive Behavior Questionnaire-2 ( RBQ- 2). Eye tracking experiments were used to test preferences for social attention. Results: Before the intervention, there were no statistically significant differences in the total scores and factor scores of the SSP and RBQ-2 scales between the two groups ( t =-1.63, 0.38, both P >0.05). The SRS total score, social communication, and restricted interests and repetitive behavior factor scores of the training group (90.68±25.83, 33.36±11.80, 15.64±7.00) were significantly higher than those of the control group (72.29±19.84, 24.93±7.85, 10.21±5.67) ( t =2.27, 2.36, 2.43, all P <0.05). Children in the training group with higher social communication factor scores before the intervention scored lower than the control group at the post intervention test (simple slope=-14.17, t =-2.48, P = 0.02), while there was no statistically significant difference in post intervention scores between children with lower social communication factor scores before the intervention and the control group (simple slope=2.31, t =0.57, P >0.05). Eye tracking experiments showed that the total fixation time on geometric images decreased significantly more in the training group [ -4.56 (-11.42, 1.21)] compared to the control group [6.55 (-0.32, 16.53)] after the intervention ( Z=2.48, P <0.05). Conclusions The computer assisted audiovisual intervention model can effectively improve the core symptoms of ASD children with poorer social communication levels. The promotion of the intervention model needs to consider individual differences in ASD.

In 2025, the American Cancer Society published "Cancer statistics, 2025", which projected cancer data for the upcoming year based on incidence data collected by central cancer registries (through 2021) and mortality data obtained from the National Center for Health Statistics (through 2022). Similarly, the National Cancer Center of China released "Cancer incidence and mortality in China, 2022" in December 2024, analyzing data from 22 cancer registries across the country. This study provides a comparative analysis of cancer incidence and mortality trends in China and the United States during the same period, with a focus on sex- and age-specific distributions and long-term changes in cancer patterns. Long-term trends indicate that lung and liver cancer mortality rates in China have declined, primarily due to tobacco control measures and hepatitis B vaccination programs. However, the burden of gastric and esophageal cancers remains substantial. In the United States, mortality rates for colorectal and lung cancers have continued to decline, largely attributed to widespread screening programs and advances in immunotherapy. As economic growth and social development, China’s cancer profile is gradually shifting towards patterns observed in countries with high human development index. However, the prevention and control of upper gastrointestinal cancers remains a critical public health challenge that requires further attention.

ObjectiveThe study aims to investigate the intervention effect of modified Xiangsha Liujunzitang （M-XSLJZ） on intestinal-derived lipopolysaccharide （LPS）-activated Kupffer cell inflammation in rats with hyperlipidemia spleen deficiency syndrome. MethodsSeventy male SD rats were randomly divided into seven groups （n=10）： blank control （CON）， high-fat diet without spleen deficiency （HFD）， high-fat diet with spleen deficiency （SD-HFD）， M-XSLJZ low-， medium-， and high-dose groups （XS-L， XS-M， XS-H）， and western medicine control （R）. Spleen deficiency was induced in SD-HFD， XS-L， XS-M， XS-H， and R groups via irregular diet combined with exhaustive swimming for 15 days. The CON group received a standard diet， while other groups were fed a high-fat diet for 10 weeks to establish the hyperlipidemia model. After successful modeling， rats were treated for 8 weeks： M-XSLJZ was administered at 3.51， 7.02， 14.04 g·kg^-1 in XS-L， XS-M， and XS-H groups， respectively. The R group received 9×10^-4 g·kg^-1 of a reference drug. D-xylose excretion rate was measured by the phloroglucinol method. Blood lipids were assessed using an automated biochemical analyzer. Hematoxylin-eosin （HE） staining was used to evaluate the pathological conditions of the liver， and oil red O staining was used to observe the lipid deposition in the liver. The levels of LPS， portal vein serum LPS， LPS-binding protein （LBP）， serum interleukin-6 （IL-6）， IL-1β， and tumor necrosis factor-α （TNF-α） were detected by enzyme-linked immunosorbent assay （ELISA）. Immunofluorescence was used to evaluate CD86 expression and CD68/TLR4 co-localization in the liver. Protein levels of TLR4， MyD88， NF-κB p65， and p-NF-κB p65 in Kupffer cells were analyzed via Western blot automated protein analysis. Hepatic IL-6， TNF-α， and IL-1β mRNA and protein levels were measured using Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot. ResultsCompared with the CON group， the SD-HFD group showed a decrease in D-xylose excretion （P<0.01）. TC， TG， HDL-C， and LDL-C increased （P<0.05， P<0.01）. A large number of hepatic lipid vacuoles and orange-red lipid droplet deposition appeared in the liver. Ileal LPS， portal LPS， and LBP increased （P<0.05， P<0.01）. The levels of serum IL-6， TNF-α， and IL-1β increased （P<0.01）. The expression of CD86 was upregulated （P<0.01）， and the co-expression of CD68 and TLR4 was enhanced. The protein levels of TLR4， MyD88， and p-p65 in Kupffer cells increased （P<0.01）. The mRNA and protein levels of IL-6， TNF-α， and IL-1β increased （P<0.05， P<0.01）. Compared with the HFD group， the SD-HFD group exhibited decreased D-xylose excretion （P<0.01）， higher HDL-C， LDL-C （P<0.05）， increased portal LBP and LPS （P<0.05）， increased serum IL-6 and TNF-α （P<0.01）， upregulated CD86 （P<0.01）， enhanced CD68/TLR4 co-expression， and higher TNF-α mRNA/protein （P<0.05）. Compared with the SD-HFD group， all M-XSLJZ treatment groups showed reduced TC， TG， and LDL-C （P<0.05， P<0.01）. XS-H and R groups displayed improved hepatic lipid deposition. XS-H and R groups had lower ileal LPS， portal LPS， and LBP levels （P<0.05， P<0.01）. All M-XSLJZ treatment groups exhibited reduced serum IL-6， IL-1β， and TNF-α （P<0.01）. The XS-H group showed downregulated CD86 （P<0.01） and weakened CD68/TLR4 co-expression. The XS-H group had reduced TLR4， MyD88， and p-NF-κB p65 in Kupffer cells （P<0.01）. XS-H and R groups showed lower IL-6， TNF-α， and IL-1β mRNA/protein （P<0.05， P<0.01）. ConclusionM-XSLJZ may exert its lipid-lowering effects by inhibiting intestinal-derived LPS and alleviating Kupffer cell inflammation in the liver.

ObjectiveTo explore the current situation and influencing factors of humanistic care experience among patients visiting traditional Chinese medicine （TCM） outpatient clinics in China， and to provide a basis for optimizing TCM-characterized services in both TCM and Western medicine hospitals. MethodsA multi-center cross-sectional study was conducted using convenience sampling to select 35 hospitals across 13 provinces in China （including 3 TCM hospitals and 32 TCM outpatient clinics in general hospitals）. A total of 3，430 patients were surveyed using the general information questionnaire and the Outpatient Humanistic Care Experience Questionnaire， with data collected via Questionnaire Star. Univariate analysis and multiple linear regression were employed to examine the impacts of patient characteristics， visit characteristics， hospital type （TCM hospital/general hospital）， and geographic region （eastern/central/western） on humanistic care experience. ResultsThe total score of humanistic care experience was 194 （188， 233）. Univariate analysis showed that gender， educational level， current residence， per capita monthly household income， location attribute of medical institutions， number of previous visits to this hospital， payment method of medical expenses， previous hospitalization history in this hospital， frequency of outpatient visits within the past 12 months， self-rated disease severity， familiarity with the outpatient procedures， implementation of the follow-up service provided by the hospital， satisfaction with follow-up services， the grade of the hospital visited， geographical region of the hospital visited， and the department visited had an impact on the humanistic care experience during outpatient visits （P<0.05）. Multivariate analysis demonstrated that educational level （β=0.609， P=0.011）， self-rated disease severity （β=-0.646， P=0.047）， familiarity with outpatient procedures （β=4.784， P<0.001）， satisfaction with follow-up services （β=6.365， P<0.001）， and the grade of the hospital visited （β=-5.487， P<0.001） affected the humanistic care experience in outpatient medical treatment， explaining 24.4% of the total variation. ConclusionHumanistic care experience in TCM outpatient clinics is influenced by multiple factors. It is recommended to optimize the medical treatment process， strengthen doctor-patient communication training， and establish a precise follow-up mechanism， with a focus on improving care perceptions among patients with lower education levels and those attending primary-level hospitals， to refine the TCM-characterized service system.

Objective:To explore the relationship between suicide attempts,school bullying,and psychological resilience in children and adolescents with major depressive disorder(MDD)and school bullying and psychological resilience.Methods:A total of 784 patients with MDD aged 10 to 18 years were included.The Chinese version of the Olweus Bullying Victimization Questionnaire,Adolescent Psychological Resilience Scale,and a suicide attempt assessment were utilized to evaluate school bullying,psychological resilience,and suicide attempt.Stepwise logistic regression was applied to identify the associated factors of suicide attempts.Results:The occurrence of suicide at-tempts in children and adolescents with MDD was positively associated with physical bullying(OR=1.85,95％CI:1.14-3.02)and indirect bullying(OR=1.48,95％CI:1.06-2.04),and negatively associated with higher levels of goal focus(OR=0.62,95％CI:0.45-0.85)and positive cognition(OR=0.62,95％CI:0.45-0.85)at higher levels.Conclusion:Bullying significantly increases the risk of suicide attempts in children and adolescents with MDD,while higher psychological resilience could mitigate this risk.

Objective To systematically evaluate the published models in prediction of the risk of lung infections in elderly patients with hip fracture so as to provide a guidance for medical workers in selection or development of suitable risk prediction models.Methods Relevant studies were searched from databases including CNKI,Wanfang Data,VIP,SinoMed,PubMed,Web of Science,Cochrane Library,Embase and CINAHL,from the inception to 31st January,2024.Data were extracted from the selected literature and a bias assessment tool of risk predictive model was used to evaluate the risk of bias and applicability of the included literature.Results A total of 1,035 articles were retrieved,of which seven studies involving 13 predictive models were finally included after screening.The sample sizes ranged from 305 to 2,669 cases and lung infection rates ranged from 5.40%to 20.02%.The repeatedly reported predictors included age,gender,chronic obstructive pulmonary disease,hypoproteinaemia,American Society of Anesthesiologists(ASA)Physical Status Classification and white blood cell count.In the 13 models constructed,the reported area under the curve(AUC)of subjects'job characteristics ranged from 0.667 to 0.996.Five out of seven studies had good overall applicability,but all with high risk of bias.Conclusion The predictive models for lung infections in elderly patients with hip fracture are still in the stage of development.Although the predictive models show some predictive performance,however they are still deficient,and all studies have been found with a high risk in bias.

Drynaria fortunei,commonly known as"bone setting herb",has been widely included in various traditional Chinese herb-al classics for treating bone injuries.It is used medicinally from its rhizome,which has a bitter taste and warm property.It is known to nourish the kidneys,strengthen bones,and alleviate pain from injuries.The chemical constituents mainly include flavonoids,phenylpro-panoids,triterpenoids,phenolic acids,lignans,and sterols.Modern medical research indicates that Drynaria fortunei has anti-osteoporo-sis effects,promotes fracture healing,has anti-inflammatory properties,and benefits dental health.This article reviews the historical use of Drynaria fortunei and recent research on its chemical composition and pharmacological effects,summarizing some of the mechanisms of action.The aim is to provide a reference for further research on this medicinal herb.

Objective To observe the therapeutic effect of Qiwei Tangmaishu capsules on type 2 diabetes mice,and explore the mechanisms of its treatment of type 2 diabetes based on network pharmacology.Methods TCMSP,ETCM databases were used to query all components and of Qiwei Tangmaishu capsules and their targets.OMIM and DrugBank databases were used to search for targets of type 2 diabetes.The targets of type 2 diabetes and Qiwei Tangmaishu capsules were intersected by Venny 2.1.0.to perform GO and KEGG pathway enrichment analysis on those intersecting targets using the Metascape website.Then,a mouse model of type 2 diabetes was established,and Qiwei Tangmaishu capsules were given to low,medium,and high dose groups(234,468,and 936 mg/kg,respectively),and metformin(MET)group(200 mg/kg)for 2 weeks.The weight of each mouse was measured before and after treatment,and fasting blood glucose was also measured.After the 2 weeks,fasting insulin was measured;ELISA was used to detect levels of inflammatory factors IL-1β,TNF-α,IL-6,TLR4,and NF-κB in serum;Hematoxylin eosin staining was used to observe the morphology of pancreatic islets;and Caspase 3 and INS immunofluorescence were used to detect apoptosis of pancreatic islet cells and the number of pancreatic beta cells.Western Blot assay was used to detect the expression levels of pancreatic tissue proteins such as p-Akt,Akt,p-PI3K,PI3K,Bax,Bcl2.Results 1260 active ingredient targets were identified in Qiwei Tangmaishu capsules;1205 targets of type 2 diabetes were found.Of these,312 targets were intersected by Venny,with core targets involving Akt1,TNF,IL-6,TLR4,among others.Enrichment analysis identified 240 KEGG pathways,among which"insulin resistance""PI3K/Akt signaling pathway"were the key pathways enriched.The animal experiment result showed that compared with the model group,the intervention of Qiwei Tangmaishu capsules and metformin significantly improved blood glucose and insulin resistance;the content of inflammatory factors in serum decreased,and the apoptosis rate of pancreatic islet cells significantly decreased;the number of pancreatic beta cells significantly increased;the expression of pro-apoptotic protein Bax decreased,the expression of anti-apoptotic protein Bcl2 significantly increased,and the expression of p-PI3K and p-Akt was upregulated.Conclusions Qiwei Tangmaishu capsules can significantly reduce blood glucose levels,restore insulin sensitivity,and reduce islet cell apoptosis in type 2 diabetic mice.The mechanism may be related to the activation of the PI3K/Akt signaling pathway.