1.Safety and effectiveness of lecanemab in Chinese patients with early Alzheimer's disease: Evidence from a multidimensional real-world study.
Wenyan KANG ; Chao GAO ; Xiaoyan LI ; Xiaoxue WANG ; Huizhu ZHONG ; Qiao WEI ; Yonghua TANG ; Peijian HUANG ; Ruinan SHEN ; Lingyun CHEN ; Jing ZHANG ; Rong FANG ; Wei WEI ; Fengjuan ZHANG ; Gaiyan ZHOU ; Weihong YUAN ; Xi CHEN ; Zhao YANG ; Ying WU ; Wenli XU ; Shuo ZHU ; Liwen ZHANG ; Naying HE ; Weihuan FANG ; Miao ZHANG ; Yu ZHANG ; Huijun JU ; Yaya BAI ; Jun LIU
Chinese Medical Journal 2025;138(22):2907-2916
INTRODUCTION:
Lecanemab has shown promise in treating early Alzheimer's disease (AD), but its safety and efficacy in Chinese populations remain unexplored. This study aimed to evaluate the safety and 6-month clinical outcomes of lecanemab in Chinese patients with mild cognitive impairment (MCI) or mild AD.
METHODS:
In this single-arm, real-world study, participants with MCI due to AD or mild AD received biweekly intravenous lecanemab (10 mg/kg). The study was conducted at Hainan Branch, Ruijin Hospital Shanghai Jiao Tong University School of Medicine. Patient enrollment and baseline assessments commenced in November 2023. Safety assessments included monitoring for amyloid-related imaging abnormalities (ARIA) and other adverse events. Clinical and biomarker changes from baseline to 6 months were evaluated using cognitive scales (mini-mental state examination [MMSE], montreal cognitive assessment [MoCA], clinical dementia rating-sum of boxes [CDR-SB]), plasma biomarker analysis, and advanced neuroimaging.
RESULTS:
A total of 64 patients were enrolled in this ongoing real-world study. Safety analysis revealed predominantly mild adverse events, with infusion-related reactions (20.3%, 13/64) being the most common. Of these, 69.2% (9/13) occurred during the initial infusion and 84.6% (11/13) did not recur. ARIA-H (microhemorrhages/superficial siderosis) and ARIA-E (edema/effusion) were observed in 9.4% (6/64) and 3.1% (2/64) of participants, respectively, with only two symptomatic cases (one ARIA-E presenting with headache and one ARIA-H with visual disturbances). After 6 months of treatment, cognitive scores remained stable compared to baseline (MMSE: 22.33 ± 5.58 vs . 21.27 ± 4.30, P = 0.733; MoCA: 16.38 ± 6.67 vs . 15.90 ± 4.78, P = 0.785; CDR-SB: 2.30 ± 1.65 vs . 3.16 ± 1.72, P = 0.357), while significantly increasing plasma amyloid-β 42 (Aβ42) (+21.42%) and Aβ40 (+23.53%) levels compared to baseline.
CONCLUSIONS:
Lecanemab demonstrated a favorable safety profile in Chinese patients with early AD. Cognitive stability and biomarker changes over 6 months suggest potential efficacy, though high dropout rates and absence of a control group warrant cautious interpretation. These findings provide preliminary real-world evidence for lecanemab's use in China, supporting further investigation in larger controlled studies.
REGISTRATION
ClinicalTrials.gov , NCT07034222.
Humans
;
Alzheimer Disease/drug therapy*
;
Male
;
Female
;
Aged
;
Middle Aged
;
Cognitive Dysfunction/drug therapy*
;
Aged, 80 and over
;
Amyloid beta-Peptides/metabolism*
;
Biomarkers
;
East Asian People
2.Development of a visualizable machine learning model for mechanical complication risk in adult spinal deformity surgery
Jie LI ; Zhen TIAN ; Zhong HE ; Xiaodong QIN ; Jun QIAO ; Saihu MAO ; Benlong SHI ; Yong QIU ; Zezhang ZHU ; Zhen LIU
Chinese Journal of Orthopaedics 2025;45(17):1137-1146
Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.
3.Development of a visualizable machine learning model for mechanical complication risk in adult spinal deformity surgery
Jie LI ; Zhen TIAN ; Zhong HE ; Xiaodong QIN ; Jun QIAO ; Saihu MAO ; Benlong SHI ; Yong QIU ; Zezhang ZHU ; Zhen LIU
Chinese Journal of Orthopaedics 2025;45(17):1137-1146
Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.
4.Analysis of the diagnostic efficiency of wrist joint ulnar deviation supination 45° palmar oblique position for scaphoid waist fracture and displacement
Shifei CHEN ; Jun ZHANG ; Shuman HAN ; Wenjuan WU ; Zhiwei ZHONG ; Jing LI ; Zhe GUO ; Huizhao WU ; Ziyi QIAO
Journal of Practical Radiology 2024;40(5):805-808
Objective To investigate the clinical application value of wrist joint ulnar deviation supination 45° palmar oblique posi-tion in the diagnosis of scaphoid waist fracture and displacement.Methods The imaging and clinical data such as digital radiography(DR),CT of 93 wrist joint trauma patients were analyzed.The four position views including wrist joint anteroposterior+lateral view,scaphoid position,wrist joint ulnar deviation supination 45° palmar oblique position,scaphoid position+wrist joint ulnar devia-tion supination 45° palmar oblique position were analyzed by three readers.The consistency of the evaluation among different readers and the diagnostic efficiency of the diagnosis of scaphoid fracture and displacement were compared.Results The inter-observer agreement,sensitivity,specificity,accuracy,and other diagnostic efficiency of scaphoid waist fracture and displacement was evaluated,wrist joint ulnar deviation supination 45° palmar oblique position+scaphoid position and wrist joint ulnar deviation supination 45° palmar oblique position were better than those of scaphoid position and wrist joint anteroposterior+lateral view.The combination of wrist joint ulnar deviation supination 45° palmar oblique position+scaphoid position obtained the best diagnostic efficiency.Conclusion The wrist joint ulnar deviation supination 45° palmar oblique position shows the long axis of the scaphoid,which has a high diagnostic efficiency in the diagnosis of scaphoid waist fracture and displacement and would be used as a useful supplement to other scaphoid imaging.
5.Development of biological safety protection third-level laboratory based on folding-modular shelters
Si-Qing ZHAO ; Jian-Qiao XIA ; Zhong-Jie SUN ; Kang OUYANG ; Xiao-Jun JIN ; Kang-Li ZHOU ; Wei XIE ; Hai-Yang LI ; Da-Peng JIANG ; Yan-Yan GAO ; Bei SUN
Chinese Medical Equipment Journal 2024;45(3):41-46
Objective To develop a biological safety protection third-level(BSL-3)laboratory based on folding-modular shelters to solve the problems of the existing laboratories in space and function expansion,large-scale deployment and low-cost transportation.Methods The BSL-3 laboratory was composed of a folding combined shelter module,a ventilation and purification module,a power supply and distribution module,a monitoring and communication module,a control system module and an equipment module.The folding combined shelter module used a leveling base frame as the foundation and a lightweight panel as the enclosure mechanism,and was divided into an auxiliary area and a protection protected area;the ventilation and purification module was made up of an air supply unit and an air exhaust unit,the air supply unit was integrated with a fresh-air air conditioner and the exhaust unit was equipped with a main fan,a standby fan and a bag in/bag out filter;the control system module adopted a supervision mode of decentralized control and centralized management,which executed communication with the data server as the center and Profinet protocol and MODBUS-TCP.Results The BSL-3 laboratory proved to meet the requirements of relevant standards in internal microenvironment,airflow direction,airtightness,working condition and disinfection effect.Conclusion The BSL-3 laboratory is compatible with large-scale transport and deployment and facilitates reliable and safe experiments for epidemic prevention and control and cross-regional support.[Chinese Medical Equipment Journal,2024,45(3):41-46]
6.Cloning and interacted protein identification of AP1 homologous gene from Lonicera macranthoides
Ya-xin YU ; Li-jun LONG ; Chang-zhu LI ; Hui-jie ZENG ; Zhong-quan QIAO ; Si-si LIU ; Ying-zi MA
Acta Pharmaceutica Sinica 2024;59(10):2880-2888
The
7.Cloning and interacted protein identification of AGL12 gene from Lonicera macranthoides
Li-jun LONG ; Hui-jie ZENG ; Zhong-quan QIAO ; Xiao-ming WANG ; Chang-zhu LI ; Si-si LIU ; Ying-zi MA
Acta Pharmaceutica Sinica 2024;59(5):1458-1466
MADS-box protein family are important transcriptional regulatory factors in plant growth and development. The
8.Genetic characteristics and survival analysis of 27 cases of juvenile myelomonocytic leukemia.
Juan Juan LI ; Tao HU ; Jun Hui LI ; Zhao Xia ZHANG ; Shun Qiao FENG ; Xiao Dong SHI ; Lei ZHANG ; Jinh CAO ; Ze Liang SONG ; Meng Ze HU ; Do Xiao ZHONG ; Mei YUE ; Wei FAN ; Rui Hong TANG ; Bing Han ZOU ; Rong LIU
Chinese Journal of Pediatrics 2023;61(1):56-60
Objective: To investigate the genetic and genomic profiling of juvenile myelomonocytic leukemia (JMML) and factors affecting its survival rate. Methods: Clinical characteristics, cytogenetics, molecular biology results and survival status of children with 27 JMML cases admitted to the Hematology Department of Children's Hospital, Capital Institute of Pediatrics from December 2012 to December 2021 were analyzed retrospectively, and the outcomes of the children were followed up. Kaplan-Meier method was used for survival analysis. Univariate analysis was used for analyzing factors affecting the overall survival (OS) rates of patients who received hematopoietic stem cell transplantation (HSCT). Log-Rank test was used for comparison of survival curves. Results: Among 27 JMML cases, there were 11 males and 16 females. The age of disease onset was 28 (11,52) months. There are 20 cases of normal karyotype, 4 cases of monosomy 7, 1 case of trisomy 8,1 case of 11q23 rearrangement and 1 case of complex karyotype. A total of 39 somatic mutations were detected.Those involved in RAS signal pathway were the highest (64%(25/39)), among which PTPN11 mutation was the most frequent (44% (11/25)). A total of 17 cases (63%) received HSCT, 8 cases (30%) did not receive HSCT, and 2 cases (7%) lost follow-up. For children receiving transplantation, the follow-up time after transplantation was 47 (11,57) months. The 1-year OS rate of high-risk transplantation group (17 cases) and high-risk non transplantation group (6 cases) was (88±8)% and (50±20)% respectively, with a statistically significant difference (χ2=5.01, P=0.025). The 5-year OS rate of the high-risk transplantation group was (75±11)%. The survival time of those who relapsed or progressed to acute myeloid leukemia after transplantation was significantly shorter than that of those who did not relapse (χ2=6.80, P=0.009). The OS rate of patients with or without PTPN11 mutation was (81±12) % and (67±19)% respectively (χ2=0.85, P=0.356). Conclusions: The main pathogenesis involved in JMML is gene mutation related to RAS signaling pathway, and the most common driver gene of mutation is PTPN11. Allogeneic HSCT can significantly improve the survival rate of high-risk JMML patients. The recurrence or progression after transplantation was related to poor prognosis.
Male
;
Female
;
Child
;
Humans
;
Child, Preschool
;
Leukemia, Myelomonocytic, Juvenile/therapy*
;
Retrospective Studies
;
Survival Analysis
;
Mutation
;
Hematopoietic Stem Cell Transplantation
9.Congenital pulmonary alveolar proteinosis in a neonate.
Jun-Yan HAN ; Rong ZHANG ; Jian-Guo ZHOU ; Li-Yuan HU ; Li-Ling QIAN ; Ai-Zhen LU ; Lin YANG ; Yang-Yang MA ; Zhong-Wei QIAO ; Lan ZHANG
Chinese Journal of Contemporary Pediatrics 2023;25(10):1089-1094
The male patient was referred to the hospital at 44 days old due to dyspnea after birth and inability to wean off oxygen. His brother died three days after birth due to respiratory failure. The main symptoms observed were respiratory failure, dyspnea, and hypoxemia. A chest CT scan revealed characteristic reduced opacity in both lungs with a "crazy-paving" appearance. The bronchoalveolar lavage fluid (BALF) showed periodic acid-Schiff positive proteinaceous deposits. Genetic testing indicated a compound heterozygous mutation in the ABCA3 gene. The diagnosis for the infant was congenital pulmonary alveolar proteinosis (PAP). Congenital PAP is a significant cause of challenging-to-treat respiratory failure in full-term infants. Therefore, congenital PAP should be considered in infants experiencing persistently difficult-to-treat dyspnea shortly after birth. Early utilization of chest CT scans, BALF pathological examination, and genetic testing may aid in early diagnosis.
Infant
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Infant, Newborn
;
Humans
;
Male
;
Bronchoalveolar Lavage/adverse effects*
;
Pulmonary Alveolar Proteinosis/pathology*
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Dyspnea/etiology*
;
Respiratory Insufficiency

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