Objective:To summarize the clinical characteristics of elderly patients with stage Ⅰ diffuse large B-cell lymphoma (DLBCL) and analyze the factors associated with prognosis.Methods:A case series study was conducted by retrospectively collecting clinical data from patients aged over 60 years with newly diagnosed stage Ⅰ DLBCL across 20 medical centers in Jiangsu Province, China, between June 2010 and April 2023. The involved site, classification and treatment plan were summarized. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Statistical analyses were performed using the Kaplan-Meier method, and Cox regression model.Results:The study included 255 patients with a median age of 69 years, of whom 130 (51.0%) were male, 66 (25.9%) were aged ≥75 years and 26 (10.1%) had a high Charlson Comorbidity Index (CCI) score of ≥2. Extranodal involvement was observed in 163 (63.9%) patients, with the stomach (37.4%, 61/163), intestine (19.0%, 31/163), testes (11.0%, 18/163), and breast (7.4%, 12/163) being the most frequently affected sites. The non-germinal center B-cell (non-GCB) subtype was prevalent in 63.7% of patients (142/223), with no significant difference between the nodal and extranodal groups ( P=0.681). Furthermore, 73.9% (184/249) and 11.7% (29/249) of patients received the R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) and R-miniCHOP regimen, respectively. The overall 3-year PFS rate was 81.5%, and the 3-year OS rate was 85.6%. Patients aged ≥75 years ( HR=2.910, 95% CI 1.565-5.408, P=0.001) and/or with a CCI score ≥2 ( HR=2.324, 95% CI 1.141-4.732, P=0.020) had a significantly poorer PFS. Incorporating age ≥75 years and CCI score ≥2 into the stage-modified international prognostic index (sm-IPI) can better stratify the prognosis of elderly patients with stage Ⅰ DLBCL. The 3-year PFS rate was 48.7% in the high-risk group versus 85.7% in the low-risk group ( P<0.001). Conclusions:Our findings show that the elderly patients with stage Ⅰ DLBCL were predominantly characterized by extranodal involvement (particularly in the stomach and intestinal tract) and non-GCB subtype. Age ≥75 years and CCI ≥2 were identified as independent prognostic factors. The newly established sm-IPI-75-CCI incorporating these factors demonstrated superior prognostic discrimination compared to conventional risk assessment systems.

At present,thoracic endovascular aortic repair(TEVAR)is the preferred treatment for acute complicated Stanford type B aortic dissection.The long-term risk assessment of patients after receiving TEVAR is directly related to the treatment decisions and long-term benefits.Traditional methods used for assessment of prognosis have certain limitations in dealing with the complex data and individualized differences,while artificial intelligence(AI)technology such as machine learning,based on its ability of analyzing multidimensional data,has great potential in predicting the postoperative complications,re-intervention risk,and long-term survival rate.This article aims to make a brief introduction about the development history from traditional prediction model to AI-assisted prediction model,and the clinical research and application of AI in predicting the prognosis of aortic dissection.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

Objective:To explore the characteristics of brain functional connectivity changes associated with repetitive transcranial magnetic stimulation (rTMS) in adolescents with anhedonia symptoms, and to develop a predictive model of treatment efficacy based on baseline functional connectivity.Methods:A total of 88 adolescents (aged 13-18 years) with major depressive disorder and comorbid anhedonia, diagnosed according to the Diagnostic And Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), were enrolled in a randomized, double-blind, block-design trial. Participants received either active rTMS ( n=44) or sham stimulation ( n=44) for 15 consecutive days with individualized targeting. Resting-state functional magnetic resonance imaging (fMRI) data and clinical assessments were collected before and after the intervention. Brain regions were parcellated using the Brainnetome Atlas to construct whole-brain functional connectivity matrices. Linear mixed-effects models were used to identify functional connections showing significant group×time interaction effects. The percentage change in Snaith-Hamilton Pleasure Scale (SHAPS) scores (ΔSHAPS) served as the dependent variable in multiple regression analyses to examine the explanatory power of connectivity changes for treatment response. A connectome-based predictive modeling (CPM) approach was employed to predict individual treatment responses based on baseline functional connectivity with permutation testing used to validate model robustness. Results:Thirty-one functional connections showing significant group×time interaction ( F=6.67-15.69, all P<0.01) were identified between the active and sham stimulation groups, primarily involving the subcortical network (SCN), dorsal attention network (DAN), limbic network (LN), and default mode network (DMN). Changes in these connections accounted for 53% of the variance in ΔSHAPS (adjusted R2=0.53, F=4.574, P=0.001). The CPM model based on baseline connectivity showed strong predictive performance (10-fold cross-validation: r=0.65, R2=0.40, MAE=0.095, permutation P<0.001; leave-one-out cross-validation: r=0.74, R2=0.52, MAE=0.013, permutation P<0.001). Among the 59 predictive features, those originating from the LN contributed most substantially, particularly cross-network connections with the DMN and SCN. Correlation analyses revealed widespread associations between baseline predictive features and rTMS-induced connectivity changes, including significant negative correlations between baseline LN-DMN connectivity and post-treatment changes in DAN and subcortical connectivity. Conclusion:rTMS significantly alleviates anhedonia symptoms in adolescents with depression and induces widespread reconfiguration of functional connectivity across multiple brain networks. The CPM model based on baseline connectivity features effectively predicts rTMS treatment efficacy for anhedonia, providing new insights for individualized treatment strategies in adolescent depression.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To summarize the clinical characteristics of elderly patients with stage Ⅰ diffuse large B-cell lymphoma (DLBCL) and analyze the factors associated with prognosis.Methods:A case series study was conducted by retrospectively collecting clinical data from patients aged over 60 years with newly diagnosed stage Ⅰ DLBCL across 20 medical centers in Jiangsu Province, China, between June 2010 and April 2023. The involved site, classification and treatment plan were summarized. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Statistical analyses were performed using the Kaplan-Meier method, and Cox regression model.Results:The study included 255 patients with a median age of 69 years, of whom 130 (51.0%) were male, 66 (25.9%) were aged ≥75 years and 26 (10.1%) had a high Charlson Comorbidity Index (CCI) score of ≥2. Extranodal involvement was observed in 163 (63.9%) patients, with the stomach (37.4%, 61/163), intestine (19.0%, 31/163), testes (11.0%, 18/163), and breast (7.4%, 12/163) being the most frequently affected sites. The non-germinal center B-cell (non-GCB) subtype was prevalent in 63.7% of patients (142/223), with no significant difference between the nodal and extranodal groups ( P=0.681). Furthermore, 73.9% (184/249) and 11.7% (29/249) of patients received the R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) and R-miniCHOP regimen, respectively. The overall 3-year PFS rate was 81.5%, and the 3-year OS rate was 85.6%. Patients aged ≥75 years ( HR=2.910, 95% CI 1.565-5.408, P=0.001) and/or with a CCI score ≥2 ( HR=2.324, 95% CI 1.141-4.732, P=0.020) had a significantly poorer PFS. Incorporating age ≥75 years and CCI score ≥2 into the stage-modified international prognostic index (sm-IPI) can better stratify the prognosis of elderly patients with stage Ⅰ DLBCL. The 3-year PFS rate was 48.7% in the high-risk group versus 85.7% in the low-risk group ( P<0.001). Conclusions:Our findings show that the elderly patients with stage Ⅰ DLBCL were predominantly characterized by extranodal involvement (particularly in the stomach and intestinal tract) and non-GCB subtype. Age ≥75 years and CCI ≥2 were identified as independent prognostic factors. The newly established sm-IPI-75-CCI incorporating these factors demonstrated superior prognostic discrimination compared to conventional risk assessment systems.

Objective:To explore the characteristics of brain functional connectivity changes associated with repetitive transcranial magnetic stimulation (rTMS) in adolescents with anhedonia symptoms, and to develop a predictive model of treatment efficacy based on baseline functional connectivity.Methods:A total of 88 adolescents (aged 13-18 years) with major depressive disorder and comorbid anhedonia, diagnosed according to the Diagnostic And Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), were enrolled in a randomized, double-blind, block-design trial. Participants received either active rTMS ( n=44) or sham stimulation ( n=44) for 15 consecutive days with individualized targeting. Resting-state functional magnetic resonance imaging (fMRI) data and clinical assessments were collected before and after the intervention. Brain regions were parcellated using the Brainnetome Atlas to construct whole-brain functional connectivity matrices. Linear mixed-effects models were used to identify functional connections showing significant group×time interaction effects. The percentage change in Snaith-Hamilton Pleasure Scale (SHAPS) scores (ΔSHAPS) served as the dependent variable in multiple regression analyses to examine the explanatory power of connectivity changes for treatment response. A connectome-based predictive modeling (CPM) approach was employed to predict individual treatment responses based on baseline functional connectivity with permutation testing used to validate model robustness. Results:Thirty-one functional connections showing significant group×time interaction ( F=6.67-15.69, all P<0.01) were identified between the active and sham stimulation groups, primarily involving the subcortical network (SCN), dorsal attention network (DAN), limbic network (LN), and default mode network (DMN). Changes in these connections accounted for 53% of the variance in ΔSHAPS (adjusted R2=0.53, F=4.574, P=0.001). The CPM model based on baseline connectivity showed strong predictive performance (10-fold cross-validation: r=0.65, R2=0.40, MAE=0.095, permutation P<0.001; leave-one-out cross-validation: r=0.74, R2=0.52, MAE=0.013, permutation P<0.001). Among the 59 predictive features, those originating from the LN contributed most substantially, particularly cross-network connections with the DMN and SCN. Correlation analyses revealed widespread associations between baseline predictive features and rTMS-induced connectivity changes, including significant negative correlations between baseline LN-DMN connectivity and post-treatment changes in DAN and subcortical connectivity. Conclusion:rTMS significantly alleviates anhedonia symptoms in adolescents with depression and induces widespread reconfiguration of functional connectivity across multiple brain networks. The CPM model based on baseline connectivity features effectively predicts rTMS treatment efficacy for anhedonia, providing new insights for individualized treatment strategies in adolescent depression.

Objectives:To investigate the value of metagenomic next-generation sequencing (mNGS) in the diagnosis of Pneumocystis jirovecii pneumonia (PJP) in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) .Methods:The data of 98 patients with suspected pulmonary infection after allo-HSCT who underwent pathogen detection from bronchoalveolar lavage fluid between June 2016 and August 2023 at Nanfang Hospital were analyzed. The diagnostic performance of mNGS, conventional methods, and real-time quantitative polymerase chain reaction (qPCR) for PJP were compared.Results:A total of 12 patients were diagnosed with PJP, including 11 with a proven diagnosis and 1 with a probable diagnosis. Among the patients with a proven diagnosis, 1 was positive by both conventional methods and qPCR, and 10 were positive by qPCR only. Pneumocystis jirovecii was detected by mNGS in all 12 patients. The diagnostic sensitivity of mNGS for PJP was 100%, which was greater than that of conventional methods (8.3%, P=0.001) and similar to that of qPCR (91.6%, P=1.000) . A total of 75% of the patients developed mixed pulmonary infections, and cytomegalovirus and Epstein-Barr virus were the most common pathogens. Mixed infection was detected in eight patients by mNGS and in five patients by qPCR, but not by conventional methods ( P=0.008) . Conclusions:mNGS had good sensitivity for diagnosing PJP after allo-HSCT and was advantageous for detecting mixed infectious pathogens; therefore, mNGS might be an effective supplement to regular detection methods and qPCR.

IgG4-related disease(IgG4-RD)is a chronic fibroinflammatory disorder with systemic involve-ment,predominantly affecting middle-aged and elderly males.Although the precise etiology and pathogenesis of the disease remain incompletely understood,its hallmark histopathological features include dense lymphoplasmacytic infiltration with IgG4-positive plasma cells,storiform fibrosis,obliterative phlebitis,and often increased numbers of eosinophils.While more than half of patients with IgG4-RD exhibit elevated serum IgG4 concentrations,this finding lacks specificity as it can also be observed in other conditions;furthermore,a subset of patients may present with normal serum IgG4 levels.Therefore,serum IgG4 elevation is not considered a definitive diagnostic criterion for this condition.The disease is characterized by its broad organ involvement frequently affecting the lymph nodes,salivary glands,lungs among others.The clinical and radiological manifestations of IgG4-RD exhibit a wide range of diver-sity,varying according to the specific organ involved.However,it generally demonstrates a favorable response to corticosteroid therapy while displaying a high propensity for relapse.Thoracic involvement in IgG4-RD presents an array of imaging findings encompassing abnormalities in the lungs,lymph nodes,pleura,chest wall,mediastinum,as well as large vessels such as the aorta and coronary arteries.Accurately differentiating IgG4-RD from malignancies,inflammatory conditions,and other autoimmune diseases poses a significant diagnostic challenge specifically for radi-ologists.This review aims to provide comprehensive insights into the pathophysiology,clinical characteristics,and thoracic imaging features of IgG4-RD with the ultimate goal of facilitating precise diagnosis and thorough evaluation of thoracic involvement.