Cardiotoxicity induced by antineoplastic agents is an important factor affecting the prognosis of cancer patients. This article systematically summarizes the clinical manifestations of cardiotoxicity caused by chemotherapeutic drugs, molecular targeted cancer therapies, and immunotherapeutic drugs, and identifies the core injury mechanisms, including cardiomyocyte apoptosis, oxidative stress, and mitochondrial dysfunction. In Traditional Chinese Medicine (TCM) theory, anticancer drug-induced cardiotoxicity falls under the category of “heat toxins” characterized by dual deficiency of qi and blood, upward flaming of heart heat, stagnation of the heart vessels, and meridian obstruction induced by phlegm-dampness. Therefore, by reviewing the preventive and therapeutic effects and the underlying mechanisms of tonic medicines, interior heat-clearing medicines, blood-circulating and stasis-resolving medicines, phlegm-transforming, cough-suppressing and panting-relieving medicines, and interior-warming medicines, this paper concludes that TCM prevention and treatment of this condition adheres to the formulation principle of “reinforcing healthy qi, removing toxins, and resolving blood stasis”. Its mechanisms of action—including antioxidation effects, regulation of autophagic balance, antagonism of inflammatory responses, and improvement of microcirculation—are highly consistent with modern medical treatment strategies (e.g., dexrazoxane for inhibiting iron-dependent oxidative stress, statins for anti-inflammatory effects). This study provides theoretical support and practical guidance for the collaborative and precise prevention and treatment of anticancer drug-induced cardiotoxicity through the integration of traditional Chinese and Western medicine.

Objective:To evaluate the predictive value of simplified geriatric assessment (sGA) in elderly Chinese patients diagnosed with diffuse large B-cell lymphoma (DLBCL) .Methods:It retrospectively analyzed the relationships of sGA with the clinical characteristics, outcome, and prognosis of 219 patients aged ≥60 years who were newly diagnosed with DLBCL at six hospitals in Jiangsu province between January 2018 and December 2022.Results:The median age of 219 patients was 68 years (60-87 years). According to the sGA system criteria, 101 (46.1%), 103 (47.0%), and 15 (6.8%) elderly patients with DLBCL were categorized as fit, unfit, and frail, respectively. The most common adverse reactions after chemotherapy were hematologic, and the incidence of grade >2 hematologic adverse reactions was similar among the three groups (47.5% vs 41.7% vs 46.7%, respectively; χ2=0.712, P=0.700). Compared with the fit and unfit groups, the frail group showed tendencies toward for higher proportions of grade >2 gastrointestinal, pulmonary, and infectious adverse reactions ( P>0.05 for all). The fit, unfit, and frail groups had respective remission rates of 74.3%, 46.6%, and 20.0% ( χ2=25.249, P<0.001) ; disease progression rates of 5.9%, 11.7%, and 26.7% ( χ2=6.763, P<0.05) ; 2-year overall survival rates of 92.1% (95% CI 86.6% to 97.9%), 77.6% (95% CI 69.5% to 86.6%), and 70.1% (95% CI 49.4% to 99.6%) ( P<0.05) ; and 2-year progression-free survival rates of 76.8% (95% CI 67.0% to 84.8%), 69.7% (95% CI 61.8% to 82.0%), and 65.7% (95% CI 53.3% to 100%) ( P=0.399) . Conclusion:sGA can effectively predict treatment adverse effects and efficacy, disease progression, and long-term survival in elderly DLBCL.

Intravascular large B-cell lymphoma (IVLBCL) is a rare large B-cell lymphoma subtype. We report a patient who presented with "recurrent fever and pancytopenia." A 64-year-old female patient had previously been diagnosed with Waldenstrom’s macroglobulinemia and had received zanubrutinib treatment. In February 2023, the patient revisited due to "recurrent fever and pancytopenia." A positron emission tomography/computed tomography scan demonstrated significant enlargement of the bilateral adrenal glands. After an adrenal biopsy, she was diagnosed with diffuse large B-cell lymphoma, not otherwise specified. The patient received chemotherapy with the R-CHOP regimen (rituximab + cyclophosphamide + doxorubicin + vincristine + prednisone). After three treatment courses, a cranial magnetic resonance imaging examination indicated central nervous system infiltration of the lymphoma. After reviewing the pathology of the adrenal biopsy, the final diagnosis was revised as IVLBCL. Despite aggressive treatment, the disease continued to progress, and the patient died two months later. According to a multidisciplinary level, this article discusses the case from the perspective of a multidisciplinary team collaboration, involving imaging, pathology, dermatology, and lymphoma, to provide reference opinions for the clinical diagnosis and treatment of IVLBCL.

Objective:This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method.Methods:Based on entries from the 2018 China Health and Retirement Longitudinal Study database, a sample of 5 954 elderly individuals was selected. Feature selection using Support Vector Machine Recursive Feature Elimination, Extreme Gradient Boosting (XGBoost) - Recursive Feature Elimination (RFE), and the Lasso algorithm, which was combined with five classifiers-logistic regression, decision trees, random forests, support vector machines, and XGBoost-to explore the classification effectiveness for depressive symptoms in the elderly. Finally, the SHAP method was used to interpret the analysis of the model with the highest receiver operating characteristic curve areas under the curve (AUC).Results:The accuracy of 15 prediction models ranged from 0.702 to 0.743, with AUC between 0.730 and 0.795. Sensitivity was reported at 0.546 to 0.588, while specificity ranges from 0.783 to 0.865. The model XGBoost-RFE-XGBoost presented the highest AUC. Based on SHAP values, the top four factors influencing depressive symptoms in older adults were life satisfaction, duration of nighttime sleep, disability status, and self-rated health.Conclusion:This study developed a highly efficient and interpretable risk prediction model for depressive symptoms in older adults, which could help identify high-risk older adults and give personalized interventions.

Objective To explore the mediating role of activities of daily living (ADL) in pain and depressive symptoms in the elderly in China. Methods Utilizing the data from 2020 China Health and Retirement Longitudinal Study, 4403 Chinese elderly individuals aged ≥ 60 years old were selected as the research subjects. Depression Scale (CES-D 10) of the Center for Epidemiological Survey and ADL scale were used in the study. The PROCESS4.1 macro was used to test the mediating effect of daily living activities between pain and depressive symptoms, and the Bootstrap method was applied for verification of the mediating variables. Results A total of 2368 cases of depressive symptoms were detected in the elderly in China, with a detection rate of 53.78%. Pain was positively correlated with depressive symptoms (r=0.27, P<0.01), and activities of daily living were negatively correlated with pain and depressive symptoms (r=-0.27, -0.337, P<0.01). The results showed that the total effect value of pain on depressive symptoms was 0.33, the direct effect value was 0.24, and the mediating effect value of daily living activities was 0.09, accounting for 27.27%. Conclusion Pain and activities of daily living are important factors influencing depressive symptoms in the elderly, and activities of daily living play a partial mediating role in the relationship between pain and depressive symptoms in the elderly.

Objective:This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method.Methods:Based on entries from the 2018 China Health and Retirement Longitudinal Study database, a sample of 5 954 elderly individuals was selected. Feature selection using Support Vector Machine Recursive Feature Elimination, Extreme Gradient Boosting (XGBoost) - Recursive Feature Elimination (RFE), and the Lasso algorithm, which was combined with five classifiers-logistic regression, decision trees, random forests, support vector machines, and XGBoost-to explore the classification effectiveness for depressive symptoms in the elderly. Finally, the SHAP method was used to interpret the analysis of the model with the highest receiver operating characteristic curve areas under the curve (AUC).Results:The accuracy of 15 prediction models ranged from 0.702 to 0.743, with AUC between 0.730 and 0.795. Sensitivity was reported at 0.546 to 0.588, while specificity ranges from 0.783 to 0.865. The model XGBoost-RFE-XGBoost presented the highest AUC. Based on SHAP values, the top four factors influencing depressive symptoms in older adults were life satisfaction, duration of nighttime sleep, disability status, and self-rated health.Conclusion:This study developed a highly efficient and interpretable risk prediction model for depressive symptoms in older adults, which could help identify high-risk older adults and give personalized interventions.

Objective:To evaluate the predictive value of simplified geriatric assessment (sGA) in elderly Chinese patients diagnosed with diffuse large B-cell lymphoma (DLBCL) .Methods:It retrospectively analyzed the relationships of sGA with the clinical characteristics, outcome, and prognosis of 219 patients aged ≥60 years who were newly diagnosed with DLBCL at six hospitals in Jiangsu province between January 2018 and December 2022.Results:The median age of 219 patients was 68 years (60-87 years). According to the sGA system criteria, 101 (46.1%), 103 (47.0%), and 15 (6.8%) elderly patients with DLBCL were categorized as fit, unfit, and frail, respectively. The most common adverse reactions after chemotherapy were hematologic, and the incidence of grade >2 hematologic adverse reactions was similar among the three groups (47.5% vs 41.7% vs 46.7%, respectively; χ2=0.712, P=0.700). Compared with the fit and unfit groups, the frail group showed tendencies toward for higher proportions of grade >2 gastrointestinal, pulmonary, and infectious adverse reactions ( P>0.05 for all). The fit, unfit, and frail groups had respective remission rates of 74.3%, 46.6%, and 20.0% ( χ2=25.249, P<0.001) ; disease progression rates of 5.9%, 11.7%, and 26.7% ( χ2=6.763, P<0.05) ; 2-year overall survival rates of 92.1% (95% CI 86.6% to 97.9%), 77.6% (95% CI 69.5% to 86.6%), and 70.1% (95% CI 49.4% to 99.6%) ( P<0.05) ; and 2-year progression-free survival rates of 76.8% (95% CI 67.0% to 84.8%), 69.7% (95% CI 61.8% to 82.0%), and 65.7% (95% CI 53.3% to 100%) ( P=0.399) . Conclusion:sGA can effectively predict treatment adverse effects and efficacy, disease progression, and long-term survival in elderly DLBCL.

Intravascular large B-cell lymphoma (IVLBCL) is a rare large B-cell lymphoma subtype. We report a patient who presented with "recurrent fever and pancytopenia." A 64-year-old female patient had previously been diagnosed with Waldenstrom’s macroglobulinemia and had received zanubrutinib treatment. In February 2023, the patient revisited due to "recurrent fever and pancytopenia." A positron emission tomography/computed tomography scan demonstrated significant enlargement of the bilateral adrenal glands. After an adrenal biopsy, she was diagnosed with diffuse large B-cell lymphoma, not otherwise specified. The patient received chemotherapy with the R-CHOP regimen (rituximab + cyclophosphamide + doxorubicin + vincristine + prednisone). After three treatment courses, a cranial magnetic resonance imaging examination indicated central nervous system infiltration of the lymphoma. After reviewing the pathology of the adrenal biopsy, the final diagnosis was revised as IVLBCL. Despite aggressive treatment, the disease continued to progress, and the patient died two months later. According to a multidisciplinary level, this article discusses the case from the perspective of a multidisciplinary team collaboration, involving imaging, pathology, dermatology, and lymphoma, to provide reference opinions for the clinical diagnosis and treatment of IVLBCL.

Objective To investigate the changing trend and epidemiological characteristics of the incidence and mortality of chronic kidney disease (CKD) with age, period and birth cohort in Chinese population. Methods Based on the data of incidence and mortality of CKD in Chinese population aged 20-80 years from 1990 to 2019 in GHDx database, joinpoint regression model was used to analyze the incidence and mortality trend of CKD. An age-period-cohort model was constructed to analyze the effects of age, period, and birth cohort on the trend of CKD incidence and mortality. Results Joinpoint regression analysis showed that the standardized incidence rate of chronic kidney disease in Chinese population increased from 146.37/100 000 in 1990 to 161.52/100 000 in 2019, while the standardized mortality rate decreased from 12.98/100 000 in 1990 to 11.23/100 000 in 2019. The APC model analysis showed that the risk of CKD incidence and death in the Chinese population increased with age, while the risk of CKD incidence increased with the increase of period. The risk of death did not change significantly with the increase of period. The cohort born later had a lower risk of CKD incidence and death compared to the cohort born earlier. Conclusion At present, the age effect and period effect of the incidence and death risk of chronic kidney disease in China are dominant. It is important to take effective measures and intervene in a timely manner, especially to strengthen the protection of older high-risk groups born earlier.

Objective　To explore the mediating role of cognitive function in the association between literacy level and depressive symptoms in middle-aged and elderly people in China. Methods　 Using the fourth national follow-up data of the China Health and Elderly Care Tracking Survey 2018, 8 124 middle-aged and elderly people aged 45 years and above were included as the study subjects. The PROCESS 4.0 program was used to test the mediating effect of cognitive function between literacy level and depressive symptoms, and the Bootstrap method was used for the mediator variable validation. Results The detection rate of depressive symptoms among middle-aged and elderly people in China was 38.10%. After controlling for gender, place of residence, marital status, smoking, alcohol consumption, and exercise, literacy level was a negative predictor of depressive symptoms in middle-aged and elderly people (β =－0.480, t =－11.248, P<0.001). Cognitive function accounted for 58.75% of the amount of mediating effect between literacy level and depressive symptoms. Conclusion 　Literacy level and cognitive function are associated with depressive symptoms in middle-aged and elderly people. Literacy level can influence depressive symptoms directly or indirectly through the mediation of cognitive dysfunction.