1.Eculizumab for Refractory Immune Complex-Mediated Glomerulonephritis Following Acute Hepatitis B Infection: A Case Report
Jinyuan LIU ; Dan WANG ; Shuqin LIU ; Wenfang CHEN ; Wei CHEN ; Xin WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(2):389-395
Infection-related glomerulonephritis (IRGN) is an immune-mediated glomerular injury triggered by infectious agents. This article reports a case of immune complex-mediated glomerulonephritis following acute hepatitis B virus infection, which continued to progress despite standard antiviral and immunosuppressive therapy. Given the significant elevation of soluble complement membrane attack complex (sC5b-9), an indicator of terminal complement pathway activation, the patient was treated with eculizumab. Following treatment, the patient's urine protein-to-creatinine ratio significantly decreased, hypoalbuminemia and hematuria markedly improved, and sC5b-9 levels declined. This case suggests that abnormal complement system activation may be a key mechanism driving disease persistence in some patients with IRGN. For those unresponsive to conventional therapy, complement function screening and targeted terminal complement pathway inhibition may represent an effective salvage strategy.
2.Association between exposure to heatwave and sudden death among residents in Jiangsu Province,China
Changkui OU ; Yanling ZHONG ; Rui LI ; Yi LIN ; Ruijun XU ; Tingting LIU ; Tingting WANG ; Hong SUN ; Yuewei LIU
Journal of Public Health and Preventive Medicine 2026;37(1):22-28
Objective To quantitatively assess the exposure-response association between exposure to heatwave and sudden death, estimate the attributable excess deaths, and identify potential vulnerable subgroups. Methods A time-stratified case-crossover study was conducted among residents who died from sudden death in Jiangsu Province, China between 2015 and 2021. Heatwave events in Jiangsu Province, defined using varying relative temperature thresholds and durations, were identified using temperature data from the China Meteorological Administration Land Data Assimilation System (CLDAS V2.0). Individual heatwave exposure was assessed based on each subject's residential address. The exposure-response association between heatwave and sudden death was evaluated using conditional logistic regression model combined with a Distributed Lag Nonlinear Model(DLNM). Heatwave-attributable excess deaths were estimated. Stratified analyses by sex and age were performed to assess potential effect modifications. Results Under all definitions, exposure to heatwave was significantly associated with an increased risk of sudden death, and the risk increased with the intensity of heatwave. Using the P95_3d definition (temperature exceeding the 95th percentile for ≥3 consecutive days), heatwave was significantlyassociated with a 56% increased risk of sudden death (95% CI: 31%, 86%). The population-attributable fraction of sudden death due to heatwave exposure was 1.45% (95% CI: 0.97%, 1.90%). Stratified analyses indicated no statistically significant differences in the association between heatwave exposure and sudden death across age or sex subgroups. Conclusion Heatwave exposure was associated with an increased risk of sudden death. Reducing heatwave exposure during summer may help lower the occurrence of sudden death.
3.Mortality and years of life lost of residents with viral hepatitis among in Pudong New Area of Shanghai in 2003 - 2023
Sen WANG ; Lianghong SUN ; Caixia HU ; Hua CHEN ; Xiaobin QU ; Jiayi SHENG ; Siyue HAN ; Caoyi XUE ; Yichen CHEN
Journal of Public Health and Preventive Medicine 2026;37(1):53-57
Objective To analyze the characteristics of viral hepatitis mortality and life loss among residents in Pudong New Area from 2003 to 2023, and to provide a basis for related prevention and control work. Methods Viral hepatitis mortality data were obtained from the Pudong New Area mortality monitoring system. The crude mortality rate (CMR), standardized mortality rate (SMR), potential years of life lost (PYLL), average years of life lost (AYLL), and standardized potential years of life lost (SPYLL) were calculated to analyze viral hepatitis deaths. The average annual change (AAPC) and annual percentage change (APC) of the mortality rate were calculated by Joinpoint regression analysis to analyze the trend of mortality. Results The CMR and SMR of viral hepatitis among residents in Pudong New Area from 2003 to 2023 were 3.89/100000 and 1.98/100000, respectively. Both CMR and SMR of viral hepatitis showed a decreasing trend over time (CMR:APC=-5.476, t=-13.581, P<0.001; SMR:APC=- 7.624, t= -21.253, P<0.001). The CMR for males was 4.75/100000 and the SMR for males was 2.65/100000; the CMR for females was 3.04/100000 and the SMR for females was 1.32/100000, with a higher mortality rate for males than for females(ZCME=12.094,P<0.001; ZSMR=-14.718,P<0.001). Deaths were concentrated in the age groups of 45-64 years old and 65 years old and above, accounting for 91.62% of the total deaths. The PYLL of deaths due to viral hepatitis among residents in Pudong New Area from 2003 to 2023 was 26912 person-years, with a PYLLR of 0.45% and an AYLL of 8.88 years per person. Conclusion The mortality rate of viral hepatitis among the residents of Pudong New Area in 2003-2023 shows a decreasing trend over time. The mortality rate of males is higher than that of females, and the deaths of middle-aged and elderly people account for a large proportion of the total deaths. Chronic hepatitis B is the main cause of death.
4.Statistical approaches to causal inference in environmental epidemiology: Methodological introductions and R implementations
Guiming ZHU ; Wanying LIU ; Yanchao WEN ; Simin HE ; Qian GAO ; Tong WANG
Journal of Environmental and Occupational Medicine 2026;43(2):253-260
Environmental pollution is a significant public health challenge worldwide, and investigating the causal relationship between environmental exposure and population health outcomes is a key objective of environmental epidemiology research. In recent years, the complexity of environmental exposures has increasingly come to the forefront, making it challenging for observational studies that dominate environmental epidemiology to accurately estimate causal effects. Causal inference methods are particularly advantageous in controlling for confounding factors, thus holding great potential in environmental epidemiology research. Researchers can use appropriate causal inference methods to simulate the process of randomization, providing strong support for revealing the causal relationship between environmental exposure and health outcomes. However, there is a lack of reviews on the application of causal inference methods in environmental epidemiology studies in China. Therefore, this study introduced the basic principles of common causal inference statistical methods in environmental epidemiology, summarized the applicable conditions, advantages and disadvantages of various methods, and provided R software implementation codes for these methods, aiming to offer guidance for optimizing research design and practicing causal inference statistical methods.
5.Guidelines for endoscopic and robotic breast surgery in China (2026 edition): Part one
Zhenggui DU ; Qing LÜ ; ; Pengwei LÜ ; ; Dajiang SONG ; Zihan WANG ; Benlong YANG ; Shicheng SU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(02):167-203
Recent research from the International Agency for Research on Cancer (IARC) of the World Health Organization (WHO) indicates that breast cancer is the most prevalent malignant tumor among women, posing a significant threat to women's health. Surgery remains the primary therapeutic modality for breast cancer. Recently, endoscopic and robotic breast surgical techniques have gained acceptance among both surgeons and patients. However, considerable variation exists in surgical approaches and outcomes. To standardize these techniques, facilitate their broader clinical adoption, and ultimately improve patient care, the Endoscopic-robotic Breast Surgery Clinical Trials Consortium (ErBSCTC) of China has developed this guideline. This document encompasses the technologies and instrumentation utilized in endoscopic and robotic breast surgery, surgical techniques, perioperative management, complication handling, long-term follow-up, and oncologic outcomes, aiming to provide evidence-based guidance for healthcare professionals involved in the prevention, diagnosis, and treatment of breast diseases.
6.Protocol for China endoscopic and robotic breast surgery guidelines (2026 edition)
Zhenggui DU ; Qing LÜ ; ; Pengwei LÜ ; ; Dajiang SONG ; Zihan WANG ; Benlong YANG ; Shicheng SU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(03):333-338
Breast cancer is the most common malignant tumor among women in China, with surgery being one of the primary treatment modalities. Endoscopic/robotic breast surgery (ErBS) is gaining widespread acceptance among patients and surgeons alike due to its advantages of minimal invasiveness, superior cosmetic outcomes, and accelerated recovery. However, substantial heterogeneity currently exists across China regarding patient selection, standardized operative techniques, perioperative management, and complication handling, underscoring the urgent need for evidence-based consensus guidelines. To promote standardization and ensure consistent quality of ErBS, the Chinese Endoscopic-Robotic Breast Surgery Clinical Trials Consortium (CErBSCTC) has systematically reviewed the latest high-quality evidence and formulated the "Protocol for China Endoscopic and Robotic Breast Surgery Guidelines (2026 edition)", which outlines a comprehensive methodology for guideline development.
7.Guidelines for endoscopic and robotic breast surgery in China (2026 edition): Part two
Zhenggui DU ; Qing LÜ ; ; Pengwei LÜ ; ; Dajiang SONG ; Zihan WANG ; Benlong YANG ; Shicheng SU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):487-521
This guideline, presented in three parts, details the core aspects of endoscopic/robotic breast surgery, including its techniques, equipment, surgical procedures, perioperative management, complication treatment, long-term follow-up, and outcomes. Part one offered a comprehensive overview of indications for endoscopic and robotic breast surgery, intraoperative techniques, surgical instrument choices, and common endoscopic and robotic breast reconstruction procedures. This part will cover other endoscopic breast procedures beyond immediate breast reconstruction and include perioperative management strategies, to provide healthcare professionals involved in endoscopic and robotic breast surgery with systematic operational guidelines and clinical decision-making references.
8.Evolving Paradigms in IgA Nephropathy Management: from Traditional Risk Stratification to Biomarker-Driven Precision Medicine
Dingding WANG ; Meng YAO ; Xiao LIU ; Qingxian ZHAI ; Qiong WEN ; Wei CHEN
Medical Journal of Peking Union Medical College Hospital 2026;17(2):317-323
IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide and a major cause of chronic kidney disease and kidney failure. IgAN exhibits marked heterogeneity in clinical presentation, histopathology, and pathogenic mechanisms, contributing to variable treatment responses and prognosisamong patients. Precise risk assessment and individualized intervention are therefore of critical importance. This review systematically traces the evolution of IgAN management from traditional risk stratification toward biomarker-driven precision medicine. We first review the clinical utility and limitations of established risk stratification tools, including the KDIGO guidelines, the Oxford MEST-C classification, and the International IgAN Prediction Tool. We then discuss emerging biomarkers closely linked to disease pathogenesis, including galactose-deficient IgA1 (Gd-IgA1), anti-Gd-IgA1 autoantibodies, B cell activating factor (BAFF), a proliferation-inducing ligand (APRIL), and complement components, as well as the targeted therapies they have informed. In addition, urinary biomarkers and multi-omics approaches show promise for dynamic disease monitoring and individualized risk stratification.
9.Development of A Prognostic Prediction Model for Primary Membranous Nephropathy in the Elderly Based on Machine Learning
Yuzhu XU ; Shuqin LIU ; Dingding WANG ; Wei CHEN ; Xin WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(2):370-381
Elderly patients with primary membranous nephropathy (PMN) exhibit significant prognostic heterogeneity and poor tolerance to immunotherapy. However, there is a lack of early prognostic prediction tools specifically for this population. This study aimed to develop a prognostic prediction model applicable to elderly PMN patients. This study retrospectively included elderly patients with PMN confirmed by renal biopsy. The primary endpoint was a adverse composite outcome including end-stage renal disease (ESRD), a ≥50% decline in estimated glomerular filtration rate (eGFR), or all-cause death. Patients were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3. Key prognostic features were identified using least absolute shrinkage and selection operator (LASSO) regression combined with random survival forest, and a predictive model was constructed based on penalized Cox regression. Model performance was evaluated using the concordance index (C-index), time-dependent area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curve analysis. The SurvSHAP (t) method was employed for interpretability analysis of the model. A total of 309 elderly patients with PMN were included in this study, with a median age of 65.00 years (IQR, 62.00-68.00) and a male predominance 61.2%(189/309).During a median follow-up of 47.00 months (IQR, 25.00-89.00), 38.2%(118/309) reached the endpoint event. The final model included nine key features, including eGFR, total protein (TP), glomerular capsular adhesion, urine glucose, segmental glomerulosclerosis proportion, fibrinogen, urea, age, and activated partial thromboplastin time (APTT). In the validation cohort, the model demonstrated good discrimination, with a C-index of 0.731(95% CI: 0.652-0.797). The time-dependent AUROCs for predicting adverse outcomes at 3, 5, and 10 years were 0.758(95% CI: 0.614-0.901), 0.781(95% CI: 0.646-0.916), and 0.866(95% CI: 0.740-0.993), respectively. Calibration curves demonstrated a high degree of concordance between predicted probabilities and actual event rates. Decision curve analysis confirmed the net clinical benefit of the model.SurvSHAP (t) analysis showed that eGFR, TP, glomerular capsular adhesion, urine glucose, and the proportion of segmental glomerular sclerosis were the top five variables contributing to the model. This prognostic model effectively predicts the risk of adverse outcomes in elderly patients with PMN in the internal validation cohort, offering a potential scientific basis for individualized risk stratification and treatment decision-making in this population.
10.Clinical phenotypes and pathogenic mechanisms of Wilson disease with lipid metabolism disorders
Dongjing GAO ; Ruixin WANG ; Xinhua LI
Journal of Clinical Hepatology 2026;42(3):515-521
Wilson disease (WD) is a hereditary disorder of copper metabolism characterized by abnormal copper accumulation in tissues, including the liver and brain, which leads to severe hepatic and neurological damage. This disease is often accompanied by lipid metabolism abnormalities, and the exploration of related mechanisms has attracted increasing attention. This article introduces the clinical features of lipid metabolism disorders in WD patients, summarizes the research advances in the serum levels of lipids and hepatic steatosis, analyzes the potential mechanisms of the interaction between copper and lipid metabolism, and highlights the significance of lipid-related molecules in disease diagnosis and clinical evaluation. In clinical practice, the monitoring and assessment of lipid metabolism parameters should be taken seriously in patients with WD, in order to promote comprehensive disease management and improve the prognosis of patients.


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