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.

Background: and Purpose In patients with large vessel occlusion (LVO), intravenous thrombolysis (IVT) frequently alters thrombus location; however, the clinical impact of this phenomenon remains unclear. We aimed to compare post-IVT thrombus dynamics between tenecteplase and alteplase and to evaluate the association between thrombus dynamics and 3-month outcomes. Methods: This retrospective study analyzed prospectively collected, multicenter data from consecutive patients with LVO who underwent bridging therapy between January 2022 and December 2024. Thrombus dynamics were classified as resolution, migration, or stability. Analyses incorporated propensity score matching with weighting to balance baseline characteristics. Results: Of the 806 initially included patients, 746 were included after matching (373 treated with tenecteplase and 373 treated with alteplase). The incidence of thrombus migration was significantly higher in the tenecteplase group than in the alteplase group (19.3% vs. 11.3%; odds ratio [OR]: 1.92; 95% confidence interval [CI] 1.27–2.91). The advantage of tenecteplase over alteplase was restricted to patients with an IVT-to-puncture time of <60 minutes (18.6% vs. 6.2%; p=0.001) and was no longer significant when the interval ≥60 minutes (19.7% vs. 15.0%; p=0.204; pinteraction=0.043). Additionally, thrombus migration was associated with a better functional outcome (OR: 1.62; 95% CI 1.04–2.53). Finally, tenecteplase was associated with improved functional independence compared with alteplase (OR: 1.43; 95% CI 1.04–1.95). Conclusions Tenecteplase demonstrated superior efficacy in inducing thrombus migration compared with alteplase, particularly within 60 minutes of IVT administration. Thrombus migration independently predicted improved functional independence. These findings support the preferential use of tenecteplase for bridging therapy in patients with LVO.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

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.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To analyze the clinical features of patients with traumatic optic neuropathy (TON) and to explore its clinical patterns and treatment outcomes.Methods:A retrospective analysis was conducted on data from 323 patients (334 eyes) with TON, who were treated in the Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University from April 1999 to October 2024. Among these patients, 288 were male and 35 were female, with ages ranging from 4 to 70 years. All patients were followed up for a period of 6 to 24 months, with the final follow-up visual acuity recorded as the ultimate visual outcome. The visual acuity evaluation criteria were classified into five levels: no light perception, light perception, hand movement in front of the eye, counting fingers at 1 meter, and "chart-visible acuity". A treatment outcome was deemed effective if the post-treatment visual acuity improved by one level or more compared to pre-treatment, or if the chart-visible acuity improved by two lines or more on the logMAR chart. The clinical characteristics of patients, causes of injury, complications, treatment methods, and changes in visual acuity before and after treatment were summarized. Logistic regression analyses were performed to identify the influencing factors affecting treatment efficacy.Results:TON occurred mostly in young (215/323, 66.56%) males (288/323, 89.16%), the majority of patients came from villages and towns (236/323, 73.07%). Traffic accidents (232/323, 71.83%) remained the main etiology. Most patients had craniofacial injuries and other bodily injuries. The effective rate of vision improvement was 50.30% (168/334). Multiple logistic regression analyses identified that residual vision (light perception or better) at presentation ( OR=3.26, P<0.001) and receiving treatment within 7 days after injury ( OR=2.04, P=0.008) were protective factors on visual acuity recovery, while the presence of orbital wall fracture was a risk factor for visual acuity recovery ( OR=0.26, P<0.001). Additionally, undergoing surgical treatment was a protective factor for visual improvement in patients with no light perception ( OR=2.94, P=0.007). For patients with residual vision at presentation, orbital wall fracture was a significant risk factor ( OR=0.28, P=0.009). Conclusions:TON is more prevalent in young males and is primarily caused by traffic accidents, leading to a poor prognosis. Timely medical intervention following injury significantly influences prognostic outcomes. Early surgical intervention (within 7 days) is recommended, particularly for patients with no light perception at presentation.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.