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Brief report on stroke prevention and treatment in China,2024 Stroke Prevention Project, National Health Commission, Ji Xunming Journal of Capital Medical University    2025, 46 (6): 947-960.   DOI: 10.3969/j.issn.1006-7795.2025.06.001 Abstract （2512）      PDF（pc） （5215KB）（1411）       Knowledge map    Save lthough China has a slight decline in stroke incidence in recent years, it still seems to be the leading health threat to Chinese citizens. China continues to bear a heavy stroke burden which has distinct epidemiological characteristics, while major risk factors remain prevalent and poorly controlled. Markedly, the government is putting effort into advancing the stroke prevention and treatment system, meanwhile, continuously funding cerebrovascular disease research, and driving steady improvements in diagnosis and treatment capabilities. However,  stroke prevention and control work in China still faces considerable challenges. This report systematically reviews the current state of stroke prevention and treatment in China during 2023 from five perspectives: epidemiological characteristics, risk factors, diagnostic and therapeutic advances, prevention system development and stroke center construction, aiming to provide references for clinical practice. Reference | Related Articles | Metrics

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Characteristics and governance of retracted papers from “paper mills” Zhang Jianjun, Zhuang Ying, Sun Chaoyuan, Gao Jian, Yan Hong, Jin Haizheng Journal of Capital Medical University    2026, 47 (1): 202-211.   DOI: 10.3969/j.issn.1006-7795.2026.01.026 Abstract （77）      PDF（pc） （639KB）（835）       Knowledge map    Save Objective  To systematically analyze the characteristics of articles retracted due to “paper mills” and explore effective governance strategies to uphold academic integrity. Methods  Based on data from the Retraction Watch Database (2010-2024), a total of 7 513 articles retracted due to “paper mills” were included. Descriptive statistics and categorical analysis were employed to examine disciplinary distribution, national characteristics, article types, retraction timelines, publisher sources, and retraction reasons. Results  Retracted articles were primarily concentrated in Business & Technology (48.3%) and Basic Life Sciences (38.1%). China (including Taiwan Province) contributed to 88.5% of global retractions. Research articles constituted the majority of retracted types (88.3%). The average retraction period was 761.5 d. Publishers such as Hindawi and IOP Publishing were major sources of retractions. Key contributing factors included third-party investigations, data irregularities, and peer review fraud. Conclusion  Retractions linked to “paper mills” exhibit features such as disciplinary concentration, geographical imbalance, publisher accountability deficits, and retraction delays. Multifaceted governance strategies—including reforming academic evaluation systems, strengthening journal review mechanisms, promoting international cooperation, and enhancing research ethics education—are essential to combat paper mill activities and safeguard the integrity of scientific research. Reference | Related Articles | Metrics

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Analysis of clinical characteristics of robot-assisted surgery in traumatic orthopedics Li Minjuan, Zhang Teng, Jia Zhao, Han Wei , Wang Junqiang, Gong Maoqi, Jiang Xieyuan Journal of Capital Medical University    2025, 46 (6): 1102-1109.   DOI: 10.3969/j.issn.1006-7795.2025.06.018 Abstract （95）      PDF（pc） （5442KB）（806）       Knowledge map    Save Objective  To describe the clinical application characteristics of robot-assisted technology in traumatic orthopedics based on real world data. Methods  Based on the orthopedic surgical robot database, this paper retrospectively included the basic information, epidemiological data, clinical diagnosis and surgical treatment data of inpatients undergoing surgery in the orthopedic Department of orthopedic trauma in Beijing Jishuitan Hospital Affiliated to Capital Medical University from January 2021 to July 2023. Gender, age, surgical site, surgical type, surgical time and blood loss were compared between robot-assisted surgery and non-robot-assisted surgery groups. Results There were significant differences in gender, age between the robot-assisted surgery group and the non-robot-assisted surgery group (P<0.001). Robot-assisted surgery technology has been used in 14 sites of fracture surgery. The majority of participants receiving robot-assisted surgery were male (60.61%), and patients aged 50 years and above accounted for 39.96%, among which 88.07% of patients received closed reduction internal fixation ［the top three surgical sites: femur (35.48%), pelvis (26.67%) and clavicle (20.86%)］. Conclusions  Robot- assisted surgery has been widely used in traumatic orthopaedic multi-site fracture surgery, but the specific application of this technology is still different among different sites. Reference | Related Articles | Metrics

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The application of artificial intelligence in stomatology Xie Lizhe , Yan Bin , Wang Lin Journal of Capital Medical University    2025, 46 (6): 968-976.   DOI: 10.3969/j.issn.1006-7795.2025.06.003 Abstract （180）      PDF（pc） （3267KB）（799）       Knowledge map    Save With the rapid development of artificial intelligence (AI) technology, it has been deeply integrated into the entire workflow of stomatological diagnosis and treatment, and it is widely applied in key aspects such as prevention, diagnosis, treatment, risk assessment, and prognosis evaluation. Herein we systematically reviews the research progress and application status of AI technology in stomatological diagnosis and treatment, focuses on the implementation effects of core technologies in typical clinical scenarios of stomatology, conducts an in-depth analysis of the major bottlenecks and challenges encountered in current practice, and puts forward a forward-looking prospect for its future development. It aims to provide a theoretical basis and practical reference for the construction and optimization of the intelligent diagnosis and treatment system in stomatology. Reference | Related Articles | Metrics

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Application of artificial intelligence in the study of cancer diagnosis and treatment research Liu Honglei, Yang Yingliang, Li Ronghao, Zhu Congmin, Zhang Xu Journal of Capital Medical University    2025, 46 (3): 395-400.   DOI: 10.3969/j.issn.1006-7795.2025.03.001 Abstract （277）      PDF（pc） （460KB）（766）       Knowledge map    Save As a major global public health concern, cancer has witnessed a continues  rise in both incidence and mortality rates. It pose not only a severe threat to human health but also a heavy burden on socioeconomic systems. Despite remarkable advancements in oncology research, critical challenges such as tumor heterogeneity, drug resistance, and limitations in early screening and diagnostic technologies remain to be addressed. Against this backdrop, artificial intelligence (AI), with its unique advantages in big data analysis, pattern recognition, and predictive modeling, has opened new avenues for cancer research. By integrating multi-modal data, including omics, imaging, and clinical information, AI not only accelerates investigations into fundamental tumor mechanisms but also demonstrates immense potential in areas such as early screening, biomarker discovery, and personalized treatment. These advancements have fostered a deeper integration of precision medicine and oncology. This review provides a comprehensive overview of the most recent progresses in the application of AI in cancer diagnosis and treatment research, with a focus on its practical value across diverse data types and clinical scenarios, as well as future directions for its development. Reference | Related Articles | Metrics

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Construction of a academic misconduct prevention system through “cognition-institution-technology” synergy-based  under the perspective of artificial intelligence Pang Xingmei, Xie Zhiyun Journal of Capital Medical University    2025, 46 (4): 754-761.   DOI: 10.3969/j.issn.1006-7795.2025.04.026 Abstract （110）      PDF（pc） （1324KB）（723）       Knowledge map    Save In recent years, academic misconduct has shown an alarming escalation trend.Particularly in the artificial intelligence environment, these improper behaviors have become more covert and complex,increasingly difficult to distinguish and identify. This study establishes a three-dimensional academic misconduct prevention system through enhancing stakeholder awareness, standardizing research integrity policies, and implementing advanced “dynamic adversarial” artificial intelligence generated content (AIGC) detection technologies (e.g., tracing with blockchain and neural network fingerprinting, deep learning algorithms, multimodal and cross-lingual detection).By integrating cognition, institution, and technology dimensions, the framework constructs a “value-driven-institutional-safeguarded-technology-empowered” synergistic governance model. Within dynamic environments, these three elements interact through synergistic effects and positive feedback loops to form governance synergy, providing innovative solutions for academic integrity construction. Reference | Related Articles | Metrics

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Progress in randomized controlled trials on strategies and effects of blood pressure intervention in populations with higher risk of stroke Jia Jiajing, Wang Chunjuan, Jiang Yong, Li Zixiao Journal of Capital Medical University    2026, 47 (1): 16-29.   DOI: 10.3969/j.issn.1006-7795.2026.01.003 Abstract （78）      PDF（pc） （721KB）（418）       Knowledge map    Save Hypertension is one of the most prominent modifiable risk factors for stroke. Accurate blood pressure control can substantially reduce the incidence and mortality of stroke  serves as the cornerstone of primary stroke prevention. This article systematically summarizes the evidence from randomized controlled trials relating to blood pressure interventions in populations with higher risk of stroke, with a focus on two core implementations: intensive blood pressure lowering and remote blood pressure monitoring with wearable devices. By conducting an in-depth analysis of the impacts of different intervention measures on blood pressure control and stroke risk, this article aims to provide evidence-based basis and practical references for primary medical institutions to carry out primary stroke prevention among populations with higher risks. Reference | Related Articles | Metrics

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A case-control study of minimally invasive internal fixation for pelvic fractures assisted by an orthopedic surgical robot Long Anhua, Zhang Jiafan, Yang Qi, Wang Xiongfei, Zhang Yakui, Wang Xuefei, Liu Liang Journal of Capital Medical University    2025, 46 (5): 791-798.   DOI: 10.3969/j.issn.1006-7795.2025.05.005 Abstract （170）      PDF（pc） （6997KB）（333）       Knowledge map    Save Objective  To explore the technical advantages and applicable scenarios of surgical robot-assisted versus conventional freehand minimally invasive surgery for pelvic fractures by comparing clinical indicators, thereby providing evidence for clinical decision-making. Methods  A retrospective case-control study was conducted on 59 patients with pelvic fractures treated with minimally invasive internal fixation between January 2022 and December 2024. Patients were divided into a conventional group (26 cases) and a robot-assisted navigation group (33 cases) based on the surgical technique. Pre- and postoperative pelvic computed tomography (CT) scans were performed, and anteroposterior, outlet, and inlet view radiographs were obtained. The maximum residual displacement after pelvic reduction and screw placement accuracy were measured based on radiographic and CT imaging. Intraoperative fluoroscopy frequency, radiation dose, operative time, blood loss, number of implanted screws , maximum residual displacement after reduction, and screw accuracy were recorded. Results  No significant differences were observed between the two groups in age, gender, injury mechanism, or fracture classification, indicating comparability. Blood loss and fracture reduction quality showed no significant differences. The operative time was 52.5(30.8, 62.3) min in the conventional group and 60(50, 82.5) min in the robot-assisted group. Intraoperative fluoroscopy frequency and radiation dose were (19.1 ± 5.4) times and 33.1(27.5, 43.9) mGy in the conventional group, compared to (12.1 ± 4.9) times and 123.1(101.1, 131.4) mGy in the robot-assisted group. The robot-assisted group demonstrated superior screw placement accuracy, increased utilization of anterior column screws, and shorter postoperative ambulation time. Conclusion  Robot-assisted minimally invasive surgery for pelvic fractures significantly outperforms conventional freehand techniques in improving screw placement accuracy and reducing radiation exposure for surgeons. It represents a preferable option for treating unstable pelvic fractures. Reference | Related Articles | Metrics

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Qingre Jiedu recipe in the treatment of bipolar depression with the syndrome of internal stagnation of fire-heat: a randomized double-blind controlled trial Yin Dongqing, Jia Hongxiao, , Li Xue, Zheng Sisi, Ning Yanzhe Journal of Capital Medical University    2025, 46 (3): 479-486.   DOI: 10.3969/j.issn.1006-7795.2025.03.012 Abstract （773）      PDF（pc） （529KB）（332）       Knowledge map    Save Objective To evaluate the efficacy and safety of Qingre Jiedu recipe in the treatment of bipolar depression. Methods  A randomized, double-blind, Chinese medicine and western medicine placebo control design was used in this study. Totally 80 subjects with bipolar depression and fiery internal depression that met the enrollment criteria, were divided into the experimental group (EG, 40 cases of western medicine simulation tablets + Chinese medicine formula granules) and the control group (CG, 40 cases of western medicine + Chinese medicine placebo) according to a 1∶1 ratio  at last, 7 cases dropped out after enrollment, EG 36 cases, CG 37 cases. TCM Heat Internal Depression Syndrome  (TCMHIDS), Hamilton Depression Scale-24 Item (HAMD-24), Hamilton Anxiety Scale (HAMA), Hypomania Checklist-33 (HCL-33), Young Manic Rating Scale (YMRS) and Treatment Emergent Symptom Scale (TESS) scores were assessed at baseline and at the 2nd, 4th and 8th week after treatment. Important signs and adverse events were recorded. Blood routine, hepatic and renal function, urine routine and electrocardiogram were performed during the screening period and the 8th week after treatment. For the patients who dropped out of the examination program, the examination item are identical to those at week 8. The primary outcome measure was the change in HAMD score from baseline to 8th week. Secondary outcome evaluation indicators included the changes of TCMHIDS, HAMA, HCL-33 and YMRS scores from baseline to 8th week. Results  The scores of the HAMD-24 between EG and CG decreased significantly compared with the baseline at different time-point, and the difference was statistically significant（P<0.01）. However, the scores of the EG on the HAMD-24 decreased more significantly compared with the CG at the 4th and 8th week, and this difference was statistically significant（P<0.01）. The TCMHIDS and HAMD scores between two groups decreased compared with the baseline at different time-point, and this difference was statistically significant（P<0.01）. However, the TCMHIDS and HAMD scores of the EG decreased more significantly  ot the 4th and 8th week, compared with the CG, and this difference was statistically significant（P<0.01）. Both YMRS and HCL-33 scores decreased more significantly between two groups at different time-point, compared with the baseline, and this differences was statistically significant, but there was no difference between two groups. Conclusion  TCM Qingre Jiedu recipe  could effectively relieve depression and anxiety mood of bipolar depression, with more advantages than western medicine. In addition, it showed a certain effect on hypomania or manic-related symptoms of bipolar disorder, No risk of turning to hypomania or manic, better safety and less adverse reactions were observed. Reference | Related Articles | Metrics

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Comparative study of prediction models of antipsychotic extrapyramidal adverse reactions in adult inpatients with schizophrenia Liu Dawei, Cheng Peixia, Wang Qian, Wang Xiaonan, Zhu Huiping, Gao Qi Journal of Capital Medical University    2026, 47 (1): 150-156.   DOI: 10.3969/j.issn.1006-7795.2026.01.019 Abstract （76）      PDF（pc） （2534KB）（298）       Knowledge map    Save Objective  To establish prediction models by using different algorithms for extrapyramidal adverse reactions to antipsychotic drugs in adult hospitalized patients with schizophrenia,and compare them. Methods  Data from the electronic health record system of Beijing Anding Hospital Capital Medical University from 2010 to 2018 was retrospectively collected, and regularization methods to conduct text mining were used to obtain structured clinical data. By using an elastic network model to screen variables that enter the models, 11 algorithms were used to construct prediction models. The sensitivity, specificity, positive predictive value, negative predictive value, area under the curve and decision curve analysis were compared comprehensively. The best performing model was visualized by using Shapley additive explanations to determine the contribution of the prediction factors. Results  The incidence of extrapyramidal adverse reactions to antipsychotic drugs was 41.09%. In the constructed prediction models, CatBoost performed the best (AUC=0.89), and the SHAP summary graph visualized the contributions of predictors. Conclusion  The best model for predicting adverse reactions is CatBoost, which is superior to the latest algorithm TabPFN. The most important risk factors are haloperidol and length of hospital stay. Reference | Related Articles | Metrics

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A study on the distribution patterns of traditional Chinese medicine syndrome types in antipsychotic-induced metabolic syndrome Xian Shulian, Jia Hongxiao, Li Xue, Wang Di, Song Mingkang, Yin Dongqing, Jiang Hairong Journal of Capital Medical University    2025, 46 (3): 463-470.   DOI: 10.3969/j.issn.1006-7795.2025.03.010 Abstract （767）      PDF（pc） （2065KB）（295）       Knowledge map    Save Objective  To explore the distribution patterns of traditional Chinese medicine (TCM) syndromes in patients with metabolic syndrome caused by antipsychotic drugs.Methods  A standardized TCM syndrome survey was performed to collect diagnostic information from 160 patients diagnosed with metabolic syndrome due to antipsychotic drug use. Subsequent frequency analysis, cluster analysis, and Bayesian network analysis were carried out. The syndrome pattern distribution was ultimately determined through relevant literatures and expert opinions. Results  Five TCM syndromes were identified through frequency, cluster, and Bayesian network analyses. The most common syndrome was qi deficiency with phlegm-dampness (30%), followed by spleen deficiency with phlegm-Heat (23.75%), qi and yin deficiency Pattern (21.88%), yin deficiency with damp-heat (17.50%), and stomach fire hyperactivity pattern(6.88%).Conclusion  The pathogenesis of antipsychotics-induced metabolic syndrome involves a complex interplay of deficiency and excess factors. The primary disease is mainly located at the spleen and stomach, with involvement of the liver, kidney, and heart. Pathogenic factors include qi deficiency, yin deficiency, dampness, heat, pathogenic fire, and phlegm. Reference | Related Articles | Metrics

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Research on  core syndrome of generalized anxiety disorder in traditional Chinese medicine: based on network analysis method Li Xue, Jia Hongxiao, Zhu Hong, Feng Zhengtian, Zheng Sisi, Wu Ziyao, Duan Yuhang Journal of Capital Medical University    2025, 46 (3): 471-478.   DOI: 10.3969/j.issn.1006-7795.2025.03.011 Abstract （548）      PDF（pc） （3427KB）（293）       Knowledge map    Save Objective  To analyze the core syndromes of patients with generalized anxiety disorder (GAD), explore the core pathogenesis, and offer innovative perspectives and practical strategies for the traditional Chinese medicine (TCM) diagnosis and treatment of GAD. Methods  The basic information of GAD patients was collected, and depression symptoms were evaluated with Hamilton Anxiety Scale to evaluate anxiety symptoms, Hamilton Depression Scale, and the TCM psychiatric and somatic symptoms were evaluated with Traditional Chinese Medicine Symptom Observation Form. Based on the data collected from the Traditional Chinese Medicine symptom observation table, the systematic clustering method was used to cluster the symptoms with a frequency greater than 10%, determine the disease type syndrome and disease location syndrome, and form a syndrome symptom relationship table. According to this table, the traditional Chinese medicine syndrome score of each patient is calculated. The complex network analysis was carried out to evaluate core syndromes and analyze the relationships between core syndromes and psychiatric symptoms and core syndromes and other syndromes.  Results  A total of 517 patients with GAD were included. There were 81 symptoms with a frequency of more than 10%, including 21 psychological symptoms and 60 physical symptoms. The clustering analysis led to  a total of 12 syndromes, including 6 pathological syndromes, namely yin deficiency, heat, phlegm dampness, qi stagnation, blood stasis, and qi deficiency, and 6 disease location syndromes, namely liver, spleen, kidney, gallbladder, stomach, and heart. The results of complex network analysis show that the core pathological syndrome of GAD is kidney, and the core pathological syndrome is yin deficiency. The joint analysis of pathological syndrome and pathological syndrome network suggests that yin deficiency is the core of the integrated network. The relationship between yin deficiency syndrome and various organs is in the order of kidney, spleen, gallbladder, liver, heart, and stomach. The syndrome element of yin deficiency has the highest correlation with being easily frightened, excessive thinking, indecisiveness, repetitive behavior, and groundless worry. The kidney syndrome has the highest correlation with the symptoms such as being easily scared, unfounded worry, repetitive actions, excessive rumination, and restlessness.  Conclusion  The core pathological pattern of GAD is kidney and the core pathological pattern is yin deficiency. Kidney yin deficiency may be the core pathogenesis of GAD. Reference | Related Articles | Metrics

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Research progress in mouse model of atherosclerosis Ma Wei , Jiang Huimin , Zhou Yifan , Zhang Weiyue , Li Hui , Zhou Chen , Ji Xunming Journal of Capital Medical University    2025, 46 (5): 924-933.   DOI: 10.3969/j.issn.1006-7795.2025.05.024 Abstract （173）      PDF（pc） （1709KB）（290）       Knowledge map    Save Cardiovascular disease is the leading cause of death worldwide, with atherosclerosis (AS)-its core pathological manifestation-representing a multifactorial-driven chronic inflammatory disorder. The pathogenesis of AS involves intricate pathological mechanisms including dyslipidemia, inflammatory cascades, and plaque vulnerability, whose complexity necessitates animal models capable of accurately recapitulating specific pathological features. Genetically engineered murine models have emerged as pivotal tools for deciphering AS mechanisms, owing to their genetic manipulability, phenotypic traceability, and molecular conservation with human pathophysiology. This review provides a systematic overview of current methodologies for establishing AS mouse models, with particular emphasis on evaluating the pathological fidelity of dietary induction approaches, genetic modification strategies ［notably apolipoprotein E (ApoE)-/- and low density lipoproteins receptor (LDLr)-/- models］, and physical injury paradigms. Reference | Related Articles | Metrics

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Research progress on the long-term health effects of intrauterine exposure to metformin during pregnancy on offspring Geng Mozhao, Zhao Yue, Zou Liying Journal of Capital Medical University    2026, 47 (1): 108-114.   DOI: 10.3969/j.issn.1006-7795.2026.01.014 Abstract （81）      PDF（pc） （530KB）（285）       Knowledge map    Save Hyperglycemia in pregnancy is a disorder of carbohydrate metabolism that occurs during pregnancy and is associated with a variety of adverse pregnancy outcomes and an increased risk of long-term maternal and infant metabolic syndrome. Pregnant women with hyperglycemia who do not achieve the blood glucose standard despite lifestyle interventions should receive hypoglycemic drug treatment. Metformin, a classic hypoglycemic drug, has received increasing attention in its application during pregnancy. Current studies show that it has a certain effect on controlling maternal blood glucose, yet its impact on the long-term health of offspring is controversial. This review summarizes the effects of metformin exposure in utero during pregnancy on the obesity, blood pressure, lipid metabolism, endocrine system, reproductive health, and nervous system of offspring, as well as the viewpoints of guidelines from various countries on the application of metformin during pregnancy, thereby facilitating clinicians’ comprehensive understanding of the safety and rationality of metformin application during pregnancy. Reference | Related Articles | Metrics

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Journal of Capital Medical University    2025, 46 (6): 1147-1151.   DOI: 10.3969/j.issn.1006-7795.2025.06.024 Abstract （100）      PDF（pc） （3464KB）（272）       Knowledge map    Save Reference | Related Articles | Metrics

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Clinical efficacy analysis of hetrombopag in the treatment of cancer therapy included thrombocytopenia for germ cell tumors Li Yawei, Yang Shoubo, Yin Shuo, Li Wenbin, Chen Feng Journal of Capital Medical University    2025, 46 (3): 420-426.   DOI: 10.3969/j.issn.1006-7795.2025.03.004 Abstract （784）      PDF（pc） （494KB）（250）       Knowledge map    Save Objective  To retrospectively analyze the efficacy and safety of combined hetrombopag in the treatment of cancer therapy induced thrombocytopenia （CTIT） after chemotherapy for germ cell tumors. Methods  The data of patients with CTIT ≥ grade Ⅲ combined with chemotherapy for intracranial germ cell tumors admitted from January 2021 to March 2024 were collected and analyzed, and 33 patients met the enrollment criteria. The patients in the study group were treated with oral hetrombopag combined with subcutaneous injections of recombinant human thrombopoietin (rhTPO) or interleukin-11 (IL-11), and those in the control group were treated with subcutaneous injections of rhTPO or IL-11. The differences of the two groups of patients in platelet counts, platelet-raising response rate, mean onset of action time, and prolongation of the next cycle of treatment before and after the treatment were compared to each other, and the adverse reactions of the two groups were also counted. Results  The platelet counts of patients in both groups were improved post-treatment, with no statistical significance between the two groups for platelet count elevation on days d1, d2, and d3 of the medication (P>0.05). The platelet elevation counts of the study group were significantly elevated on day d(7 ± 3) after the medication compared with the control group, with a statistically significant difference (P<0.05), and the rate of platelet elevation response increased with time prolongation. The mean time to onset of drug administration was 3（3，5） in the study group and 4（3，7）in the control group, with no statistically significant difference (P>0.05). The incidence of prolongation of the time to the next cycle of treatment was 54.5% in the study group and 81.8% in the control group, and the difference between the two groups was not statistically significant (P>0.05). Two patients in the study group developed mild reversible liver function abnormalities. Conclusion  The efficacy of hetrombopag combined with subcutaneous injection of t rhTPO or IL-11 in the treatment of thrombocytopenia after chemotherapy for intracranial germ cell tumors is reliable, and it can significantly elevate platelet counts with tolerable adverse effects. Reference | Related Articles | Metrics

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Resting energy expenditure of overweight and obese people and its correlation with body compositions Huang Min Journal of Capital Medical University    2025, 46 (3): 581-585.   DOI: 10.3969/j.issn.1006-7795.2025.03.025 Abstract （142）      PDF（pc） （412KB）（229）       Knowledge map    Save Objective  To analyze the correlation between resting energy expenditure (REE) and body composition in overweight and obese people. Methods  A retrospective analysis was performed on overweight and obese people who underwent metabolic vehicle and body composition examination in Fuxing Hospital Affiliated to Capital Medical University from May 2021 to June 2022. REE was measured by indirect calorimetry, and body composition was measured by body composition analyzer. The measured REE values were compared with calculated body composition values, and the correlation between REE and body composition was analyzed. Results  A total of 332 subjects were included, including 82 males, with an average age of 37.72±9.82 years (20－62 years). Among them, 13 (15.9%) were overweight and 69 (84.1%) were obese. There were 250 females with an average age of  37.42± 9.60  years (19－65 years), among whom 50 (20%) were overweight and 200 (80%) were obese. The measured REE values of overweight and obese men and women were significantly higher than the calculated body composition values P<0.05. There was no significant correlation between REE measurement and all indexes in male overweight subjects P>0.05, while REE measurement in female overweight subjects was significantly positively correlated with height, weight, skeletal muscle and fat-free body weight P<0.05. The results of REE were positively correlated with skeletal muscle, body fat, percentage of body fat, degree of abdominal obesity and body mass index in height, weight and body composition P<0.05. There was a significant negative correlation with age. P <0.05. Conclusion  The calculated value of population composition in overweight and obese people is lower than the measured value of REE, and REE in obese people is positively correlated with height, weight, body mass index, fat mass, muscle mass and fat free weight.  Reference | Related Articles | Metrics

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Journal of Capital Medical University    2025, 46 (5): 913-919.   DOI: 10.3969/j.issn.1006-7795.2025.05.022 Abstract （102）      PDF（pc） （6621KB）（224）       Knowledge map    Save Reference | Related Articles | Metrics

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Bypassing the blood-brain barrier: a novel drug delivery pathway via the skull bone marrow-dura-glymphatic system Zhang Meiyang, Chen Zhuangzhuang, Wang Nanxing, Ji Ruobing, Yang Mo, Wang Yilong Journal of Capital Medical University    DOI: 10.3969/j.issn.1006-7795.2026.01.002 Accepted: 20 January 2026

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Construction and validation of a nomogram prediction model for the risk of adverse pregnancy outcomes in primiparous women with hypertensive disorders of pregnancy combined with gestational diabetes mellitus Lan Xueli, Zou Liying, Zhao Yue Journal of Capital Medical University    2026, 47 (1): 93-101.   DOI: 10.3969/j.issn.1006-7795.2026.01.012 Abstract （90）      PDF（pc） （2842KB）（223）       Knowledge map    Save Objective  To screen the relevant risk factors for adverse pregnancy outcomes in pregnant women with hypertensive disorders of pregnancy（HDP） combined with gestational diabetes mellitus(GDM) and to construct risk prediction model and evaluate its predictive performance. Methods  Through the electronic medical record system, clinical data of 1 061 singleton primiparas were collected and analyzed retrospectively, who were diagnosed with HDP complicated by GDM in Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2022 to December 2024. A random number method was used to randomly divide the patients into a training set (742 cases) and a validation set (319 cases) according to a 7∶3 ratio. Based the pregnancy outcome the patients were divided into the adverse pregnancy outcome group (APO group) and the non-adverse pregnancy outcome group (non-APO group). The clinical data of two groups of pregnant women were compared to each other, including age, pre-pregnancy weight, pre-pregnancy body mass index (BMI), weight gain during pregnancy, pre-delivery weight, pre-delivery BMI, diabetes family history, hypertension family history, hypothyroidism, whether assisted reproductive technology was used for conception, whether pre-eclampsia (PE) or chronic hypertension with superimposed pre-eclampsia (CPE) occurred. Univariate Logistic regression analysis was used to screen variables, and a prediction model was constructed by multivariate Logistic regression analysis and a nomogram was drawn. The area under the receiver operating characteristic curve (AUC) was used to evaluate the discrimination of the model. The calibration curve and Hosmer-Lemeshow goodness—fit test were used to verify and evaluate the calibration of the model. The decision curve analysis (DCA) was used to evaluate the clinical effectiveness of the prediction model. Results  A total of 1 061 primiparas with HDP  complicated by GDM were enrolled, and the incidence of adverse pregnancy outcomes was 47.6% (505/1061). Six predictive variables were screened out by univariate Logistic regression analysis: age, pre-pregnancy BMI, hypothyroidism, diabetes family history, hypertension family history, and PE/CPE. The multivariate Logistic regression analysis indicated that they were all risk factors for the occurrence of adverse pregnancy outcomes in pregnant women with HDP complicated by GDM (P< 0.05). Draw a column line chart based on these 6 risk factors and construct a risk prediction model. The AUC of the training set patients with adverse pregnancy outcomes were 0.829 （95%CI:0.799-0.859) while that of the validation set patients with adverse pregnancy outcomes were 0.839 (95%CI:0.796-0.883), without significantly difference (P=0.477 6). The Hosmer-Lemeshow goodness-of-fit test showed a good fit (P= 0.323 8 for the training set and P= 0.702 9 for the validation set), and there was a significant agreement between the predicted value and the actual value. DCA indicated that the prediction model demonstrated clinical utility when the threshold probability exceeds 0.05. Conclusion  The risk prediction model can effectively identify high-risk groups with adverse pregnancy outcomes in primiparas with HDP complicated by GDM, which can provide reference for early intervention. Reference | Related Articles | Metrics