Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

This article summarizes Professor HAN Mingxiang's clinical experience in treating lung cancer based on the theory of "deficiency-phlegm-stasis-toxin". It is believed that depletion of healthy qi， together with binding of phlegm and stasis forming into toxin is the core pathogenesis of lung cancer occurrence and development. In clinical practice， the core treatment principle should be reinforcing healthy qi， resolving phlegm， removing stasis， and relieving toxins. The treatment should be given based on syndrome differentiation. For the syndrome of lung-spleen qi deficiency， the self-formulated Jianpi Huatan Zhike Decoction （健脾化痰止咳汤） can be applied to fortify the spleen and replenish qi， thereby reinforcing healthy qi. For the syndrome of deficiency of both qi and yin， the self-formulated Shenmai Yuzhu Decoction （参麦玉竹汤） is used to nourish yin and moisten the lungs， thereby clearing the source. For the syndrome of phlegm-dampness accumulating in the lungs， the self-formulated Sizi Wenfei Decoction （四子温肺汤） is applied to warm the lungs and resolve phlegm， thereby diffusing the lung qi. For the syndrome of qi stagnation and blood stasis， the self-formulated Yiqi Zhuyu Decoction （益气逐瘀汤） is used to activate blood and resolve stasis， thereby unblocking the collaterals. For the syndrome of binding of phlegm and stasis， the self-formulated Jiejie Decoction （结节方） is utilized to resolve phlegm and remove stasis， thereby dissipating nodules. For the syndrome of lung deficiency with toxin accumulation， the self-formulated Qiyu Sanlong Decoction （芪玉三龙汤） is applied to reinforce healthy qi and remove toxins， thereby combating cancer. Medications are flexibly prescribed based on syndrome differentiation， with an emphasis on reinforcing healthy qi and eliminating pathogenic factors， and maintaining the balance of zang-fu （脏腑） organ functions as well as qi， blood， yin and yang.

The Department of Thoracic Surgery of Shanghai Chest Hospital has performed esophageal function testing for over 30 years, being the only department of its kind in China with this capability. The pressure testing and 24-hour pH/impedance monitoring of the esophagus is of great help to assist in the diagnosis and treatment of benign and malignant esophageal diseases related to it. Thanks to the esophageal function test, in addition to the routine various endoscopic anti-reflux procedures, our hospital has taken the lead in China in recent years to carry out a series of clinical and research work for benign esophageal diseases, such as the development of magnetic ring, double nedoscopic combination and new anti-reflux endoscopic techniques. In recent years, we have carried out high-resolution esophageal manometry and 24-hour pH/impedance monitoring for patients with interstitial pneumonia and pulmonary fibrosis suspected to be caused by gastroesophageal acid reflux. We can better assess the correlation between gastroesophageal reflux and pulmonary fibrosis, and to provide the different clinical treatments and even surgical interventions. The Bravo capsule is used more often in the United States, and it has obvious advantages over traditional approach for acid measurement. We strongly call for the collaboration between industry and academic institutions in this field, and the development of our own related products with independent intellectual property rights.

Objective:To investigate the protective effect of a composite hydrogel against hydrogen peroxide(H2O2)-induced oxidative stress injury in the cardiomyocytes,and to clarify its possible mechanism.Methods:The mice were subcutaneously injected with 100 μL of hydrogel.After normal feeding for 1,14,and 28 d,the mice were sacrificed.Tissue samples were collected and subjected to HE staining to observe the histocompatibity of the hydrogel.The primary cardiomyocytes isolated from 1-day-old SD rats were used to establish an oxidative stress injury model.The primary cardiomyocyties were divided into control,H2O2 and H2O2+Hydrogel groups.The primary cardiomyocytes in control group were cultured normally,the primary cardiomyocytes in H2O2 group were treated with 200 μmol·L-1 H2O2 for 24 h,and the primary cardiomyocytes in H2O2+Hydrogel group were incubated with 1 g·L-1 composite hydrogel and 200 μmol·L-1 H2O2 for 24 h.The viabilities of cardiomyocytes in various groups were assessed by cell counting kit-8(CCK-8)method.Dihydroethidium(DHE)and 2',7'-dichlorodihydrofluorescein diacetate(DCFH-DA)staining were used to assess the reactive oxygen species(ROS)levels in the cells.The expressions of filamentous actin(F-actin)in the cells in various groups were detected by phalloidin fluorescence staining;the expressions of connexin 43(Cx43)and cardiac troponin T(cTnT)proteins in the cardiomyocytes in various groups were detected by immunofluorescence method.The apoptotic rates of cardiomyocytes in various groups were assessed with TUNEL staining method.The expression levels of apoptosis-related proteins B-cell lymphoma-2(Bcl-2)and Bcl-2-associated X protein(Bax)in the cardiomyocytes in various groups were assessed by Western blotting method.Results:The HE staining results showed that the inflammatory cells around the implanted hydrogel were less infiltrated,and the inflammatory reaction of subcutaneous implantation was less.Compared with control group,the viability of cardiomyocytes in H2O2 group was significantly decreased(P＜0.05),the level of ROS in the cells was increased(P＜0.05),the expression levels of Cx43,cTnT and F-actin proteins in the cells were decreased(P＜0.001),the apoptosis rate of cardiomyocytes were decreased(P＜0.01),the expression level of Bcl-2 protein in the cells was increased(P＜0.001),and the expression level of Bax protein was decreased(P＜0.01).Compared with H2O2 group,the viability of cardiomyocytes was significantly increased(P＜0.05),the level of ROS in the cells was decreased(P＜0.01),the expression levels of cTnT,Cx43 and F-actin proteins were increased(P＜0.01),the apoptotic rate of cardiomyocytes were significantly decreased(P＜0.001),the expression level of Bcl-2 protein in the cells were decreased(P＜0.01),and the expression level of Bax protein was increased(P＜0.01).Conclusion:Hydrogel may promote the expression of cardiomyocyte-related proteins by scavenging ROS in the environment and inhibit the cardiomyocyte apoptosis to achieve the protective effect on the cardiomyocytes under oxidative stress.

Objective To investigate the role of poly(rC)-binding protein 1(PCBP1)in cadmium(Cd)-induced ferroptosis in mouse neuroblastoma Neuro-2a(N2A)cells.Methods N2A cells were exposed to a concentration gradient of CdCl?(0,1,2,4 μmol/L)for 72 h.Cell viability was assessed by trypan blue staining.Western blotting was employed to detect the expression of ferroptosis-related proteins(GPX4,HMOX1,ACSL4)and PCBP1.Intracellular Fe2? level and lipid peroxidation were detected using FerroOrange and BODIPY581/591 C11 probes,respectively.Ferrostatin-1(Fer-1),a ferroptosis inhibitor,was applied to confirm the critical role of ferroptosis in Cd-induced cytotoxicity.Molecular docking was performed to elucidate the interaction between PCBP1 and ferritin,as well as the binding sites of Cd2?.PCBP1 overexpression plasmid was further constructed for functional validation.Results Cd exposure suppressed cell viability in N2A cells in a dose-dependent manner(P<0.01),significantly down-regulated GPX4 expression(P<0.05),up-regulated HMOX1 expression(P<0.01),and induced Fe2? overload and lipid peroxidation(P<0.01).Molecular docking revealed that Cd2? directly bound to the KH2 domain of PCBP1 and then co-localized on the outer surface of ferritin heavy chain.Overexpression of PCBP1 markedly reversed Cd-induced Fe2? accumulation,GPX4 down-regulation,lipid peroxidation,and cell death.Conclusion Cd exposure disrupts PCBP1-mediated iron homeostasis via transcriptional suppression and competitive displacement of metal ions,and then synergistically drives Fe2? overload-triggered ferroptosis cascades,ultimately leading to neurotoxicity.Targeting PCBP1-mediated iron homeostasis can effectively mitigate Cd-induced neurotoxicity,and may serve as a novel therapeutic strategy.

Gut microbiota,implicated in obesity,insulin resistance,depression,and cardiovascular risk,can be modulated by probiotics to mitigate cardiovascular disease risk.Vascular calcification(VC),a regulated process involving mineral deposits in vessels and valves,is a significant risk factor.Diet profoundly impacts both gut micro-biota and VC,influencing cardiovascular health via microbial metabolites.While the link between gut microbiota and VC is established,the precise dietary effects on vascular health remain unclear.This article reviews mecha-nisms through which dietary patterns shape gut microbiota and metabolites,influence VC and highlights directions for future research on VC diagnosis and treatment.

Coronary heart disease(CHD)is one of the most prevalent cardiovascular diseases in China,with a continuously growing patient population,presenting numerous challenges for personalized and precise treatment.Artificial intelligence(AI),leveraging its advantages in processing and analyzing medical data,integrates clinical information,imaging examinations,and various omics analyses to provide clinicians with accurate diag-nostic and treatment recommendations.AI plays a crucial role in risk prediction,diagnostic optimization,and the development of personalized treatment strategies.This article explores the applications of AI in the diagnosis and treatment of CHD,analyzing its contributions and challenges in risk prediction,diagnostic optimization,and treatment decision-making,while also envisioning its future developmental in the field of cardiovascular medicine.

Objective:To construct a Harvard cancer index-based risk predictive model for perioperative venous thromboembolism (VTE) in elderly patients with femoral neck fracture and assess its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 610 elderly patients with femoral neck fracture admitted to Peking Union Medical College Hospital between January 2013 and December 2022, including 193 males and 417 females, aged 60-99 years [(77.3±9.0)years]. The patients were divided into VTE group ( n=125) and non-VTE group ( n=485) according to occurrence of VTE during the perioperative period. The two groups were compared in terms of gender, age, body mass index, smoking status, alcohol consumption, time from fracture to admission, surgical waiting time, comorbidities, perioperative electrolyte disorders, past or present history of malignancy, past history of deep vein thrombosis (DVT) or pulmonary embolism (PE), and preoperative use of oral anticoagulants. Univariate analysis and multivariable stepwise Logistic regression analysis were conducted to evaluate and identify independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. A perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed using the Harvard cancer index: (1) assigning a risk score to each variable according to the corresponding conversion criteria of the Harvard cancer index and risk score, based on the magnitude of their ORs; (2) determining the exposure rate of each risk factor based on the population distribution observed in this study; (3) calculating the average population risk score; (4) computing the individual VTE risk score; (5) deriving the ratio (X) of each individual ′s VTE risk score to the population average. Based on the Harvard cancer index classification criteria for disease risk levels, individual VTE risk categories were determined. The predictive performance of the risk stratification was evaluated by comparing the incidence of VTE across different risk levels. The predictive performance of the model was evaluated based on sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC). The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) test and internal validation was performed using the bootstrap resampling method with 1000 iterations. Results:Univariate analysis showed that gender, age, time from fracture to admission, surgical waiting time, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, history of DVT or PE, and preoperative use of oral anticoagulant drug were moderately associated with the occurrence of VTE in elderly patients with femoral neck fracture ( P<0.10). Multivariable stepwise logistic regression analysis demonstrated that female gender ( OR=2.26, 95% CI 1.34, 3.80, P<0.01), time from fracture to admission>1 day ( OR=3.70, 95% CI 2.24, 6.12, P<0.01), surgical waiting time>70 hours ( OR=2.06, 95% CI 1.29, 3.30, P<0.01), previous cerebral infarction ( OR=3.78, 95% CI 1.04, 13.76, P<0.05), stroke within the past month ( OR=11.57, 95% CI 1.21, 110.44, P<0.05), Alzheimer′s disease ( OR=3.26, 95% CI 1.12, 9.49, P<0.05), primary Parkinson ′s syndrome ( OR=3.47, 95% CI 1.22, 9.85, P<0.05), previous hysterectomy with bilateral adnexectomy ( OR=4.75, 95% CI 2.09, 10.80, P<0.01), perioperative electrolyte disorders ( OR=2.73, 95% CI 1.39, 5.35, P<0.01), and preoperative oral anticoagulant use ( OR=3.86, 95% CI 1.18, 12.67, P<0.05) were significantly associated with the occurrence of perioperative VTE in elderly patients with femoral neck fracture. Based on the above 10 risk factors, a perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed with the Harvard cancer index. The formula was as follows: X=[10×(female gender)+25×(time from fracture to admission>1 day)+10×(surgical waiting time>70 hours)+25×(previous cerebral infarction)+50×(stroke within the past month)+25×(Alzheimer′s disease)+25×(primary Parkinson′s disease)+25×(previous hysterectomy with bilateral adnexectomy)+10×(perioperative electrolyte disorders)+25×(preoperative use of oral anticoagulant drug)]/33. Individualized VTE risk was classified into five levels: very low, low, moderate, high, and very high, with corresponding VTE rates of 4.8%, 11.8%, 14.9%, 32.3%, and 73.5%, respectively ( χ2=87.71, P<0.01). The VTE risk predictive model demonstrated an AUC of 0.74 (95% CI 0.69, 0.79, P<0.01), with a sensitivity of 63.2% and specificity of 74.8%. The H-L goodness-of-fit test indicated satisfactory model calibration ( P>0.05). The internal validation with the bootstrap method confirmed that the AUC remained 0.74. Conclusions:Female gender, time from fracture to admission>1 day, surgical waiting time>70 hours, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, and preoperative use of oral anticoagulant drug are independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. Based on these factors, the perioperative VTE risk predictive model constructed using the Harvard cancer index demonstrates good clinical predictive value. Individualized VTE risk stratification can effectively identify high-, intermediate-, and low-risk populations, providing a valuable reference for tailoring anticoagulant prophylaxis strategies and enhancing postoperative surveillance.

Objective:Hearing loss can seriously affect mental health status, and this study aims to investigate the influence of hearing health status on depressive symptoms among middle-aged and older individuals in the community.Methods:From June to December 2023, a stratified random sampling method was employed to select 1 238 community-dwelling middle-aged and elderly people aged 45 years and above from four cities (Hangzhou, Shanghai, Baoding, and Zhengzhou) as research subjects. A questionnaire survey was conducted to collect the subjects′ basic information, hearing health status [assessed by the Hearing Handicap Inventory for Adults-Screening Version (HHIA-S)], and depressive symptoms [assessed by the Geriatric Depression Scale-15 (GDS-15)]. T-tests, rank-sum tests and chi-square tests were used for univariate analysis, while, multiple linear regression and binary Logistic regression were applied to analyze the relationship between hearing health status and depressive symptoms.Results:A total of 1 183 community-dwelling middle-aged and elderly people aged 45 years and above were included in the final analysis (464 males and 719 females, aged from 45 to 96 years). The detection rate of hearing loss was 35.3%(418/1 183), while, the detection rate of depressive symptoms was 9.89%(117/1 183). Age, level of interaction with children, self-rated health, perceived loneliness, and hearing health significantly influenced depressive symptoms among older adults residing in the community ( P<0.05). Individuals with moderate to severe hearing loss ( β=2.04, 95% CI: 1.47, 2.62) exhibited higher GDS-15 scores compared to those without hearing impairment. Furthermore, after correcting for sex, age, marital status, monthly per capita family income, education, residence, smoking status, alcohol use, use of psychotropic medication (anxiolytic or depressant), number of illness, self-health assessment, and autonomy, middle-aged and older adults with mild to moderate hearing loss ( OR=2.89, 95% CI: 1.76, 4.88) and severe hearing loss ( OR=5.79, 95% CI: 3.05, 11.01) demonstrated an increased likelihood of experiencing depression. Conclusions:The degree of hearing loss in community-dwelling middle-aged and elderly individuals is closely associated with the risk of depressive symptoms. Therefore, it is imperative to enhance hearing health screening and to provide mental health support to individuals with hearing loss, in order to mitigate the onset and progression of depressive symptoms.