1.Construction and Testing of Health LifeStyle Evidence (HLSE)
Chen TIAN ; Yong WANG ; Yilong YAN ; Yafei LIU ; Yao LU ; Mingyao SUN ; Jianing LIU ; Yan MA ; Jinling NING ; Ziying YE ; Qianji CHENG ; Ying LI ; Jiajie HUANG ; Shuihua YANG ; Yiyun WANG ; Bo TONG ; Jiale LU ; Long GE
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1413-1421
Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (
2.Method for Developing Patient Decision Aid in China
Yao LU ; Qian ZHANG ; Qianji CHENG ; Jianing LIU ; Mingyao SUN ; Jinling NING ; Jiajie HUANG ; Simeng REN ; Wenzheng ZHANG ; Yajie LIU ; Xiyuan DENG ; Jinhui TIAN ; Jie LIU ; Long GE
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1422-1431
To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids. Through a literature review of international methodological guidance for developing patient decision aids, sorting out the similarities and differences in the processes and methods for developing patient decision aids, and combining them with the topic discussion of the working group, the initial guideline was drafted. A total of 13 guidances was included, with the initial version containing 3 phases, 13 steps, and 48 points. We invited 19 multidisciplinary domain experts for forming consensus. The final version of the guideline contains 3 phases, 11 steps, and 24 points. The guideline has great potential to guide the development of patient decision aids in China and is expected to fill the methodological gap in the field. In the future, several rounds of pilot testing of the guideline based on specific decision issues will be conducted, and the guideline will be further revised and improved.
3.Construction and Testing of Health LifeStyle Evidence (HLSE)
Chen TIAN ; Yong WANG ; Yilong YAN ; Yafei LIU ; Yao LU ; Mingyao SUN ; Jianing LIU ; Yan MA ; Jinling NING ; Ziying YE ; Qianji CHENG ; Ying LI ; Jiajie HUANG ; Shuihua YANG ; Yiyun WANG ; Bo TONG ; Jiale LU ; Long GE
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1413-1421
Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (
4.Method for Developing Patient Decision Aid in China
Yao LU ; Qian ZHANG ; Qianji CHENG ; Jianing LIU ; Mingyao SUN ; Jinling NING ; Jiajie HUANG ; Simeng REN ; Wenzheng ZHANG ; Yajie LIU ; Xiyuan DENG ; Jinhui TIAN ; Jie LIU ; Long GE
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1422-1431
To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids. Through a literature review of international methodological guidance for developing patient decision aids, sorting out the similarities and differences in the processes and methods for developing patient decision aids, and combining them with the topic discussion of the working group, the initial guideline was drafted. A total of 13 guidances was included, with the initial version containing 3 phases, 13 steps, and 48 points. We invited 19 multidisciplinary domain experts for forming consensus. The final version of the guideline contains 3 phases, 11 steps, and 24 points. The guideline has great potential to guide the development of patient decision aids in China and is expected to fill the methodological gap in the field. In the future, several rounds of pilot testing of the guideline based on specific decision issues will be conducted, and the guideline will be further revised and improved.
5.Artificial Intelligence in Shared Decision Making
Yao LU ; Jianing LIU ; Mian WANG ; Jiajie HUANG ; Baojin HAN ; Mingyao SUN ; Qianji CHENG ; Jinling NING ; Long GE
Medical Journal of Peking Union Medical College Hospital 2023;15(3):661-667
Artificial intelligence(AI) empowers the development of the medical industry, providing precise and intelligent assistance for clinical diagnosis, treatment, and rehabilitation.AI has the potential to facilitate shared decision making (SDM), but AI interventions used for SDM are currently in their infancy, presenting both challenges and opportunities. This paper aims to describe the application of AI in SDM, explore the problems and challenges of AI-based decision aid used for SDM, and propose possible solutions, aiming to provide a guide for the development and implementation of AI-based decision aid.
6.Analysis of a case of corticobasal degeneration started with primary progressive aphasia
Sen HUANG ; Jianing LIN ; Pian HUANG ; Weineng CHEN ; Minying ZHENG ; Xiaoli YAO
Chinese Journal of Neurology 2022;55(4):336-340
Objective:Through a typical case of corticobasal degeneration (CBD) with primary progressive aphasia (PPA) to analyze the clinical characteristics of CBD and the special manifestations of aphasia with that disease.Methods:Retrospective analysis was performed on a patient with PPA based CBD who was admitted to the First Affiliated Hospital, Sun Yat-sen University in July 2020 to summarize the clinical features and diagnostic thinking of CBD.Results:The patient was a 59-year-old male, manifested rapidly progressive dysfunction of language and memory function. The aphasia was mainly featured as slow speech, reduced content and grammatical errors, and diagnosed as PPA, non-fluent grammatical variation. The imaging results showed the atrophy of the left frontal lobe, parietal lobe, basal ganglia and thalamus, coupled with the reduction in 18F-fluorodeoxyglucose radioactive uptake. The patient was finally diagnosed as possible CBD. Conclusions:PPA as the initial manifestation of CBD is very rare in clinical practice. The high non-specificity of clinical features and the lack of typical motor symptoms result in the difficulty of correct diagnosis of CBD. Timely functional imaging in nuclear medicine and reliable biomarkers help to facilitate early diagnosis of atypical CBD.
7.Clinical follow-up analysis of nusinersen in the disease-modifying treatment of pediatric spinal muscular atrophy
Shanshan MAO ; Yijie FENG ; Lu XU ; Mei YAO ; Yu XIA ; Jianing JIN ; Lingshuang WANG ; Tingting CHEN ; Xiaoyang CHEN ; Yi ZHANG ; Huan ZHANG ; Yuan JIANG ; Haibing LI ; Qi LONG ; Feng GAO
Chinese Journal of Pediatrics 2022;60(7):688-693
Objective:To explore the clinical efficacy of disease-modifying drug nusinersen on children with spinal muscular atrophy.Methods:The baseline and longitudinal clinical data of 15 children who were treated with nusinersen in the Children′s Hospital, Zhejiang University School of Medicine from October 2019 to October 2021 were retrospectively collected. The general data (gender, age, genotype, and clinical classification, etc.), motor function, nutritional status, scoliosis and respiratory function were analyzed. Wilcoxon rank-sum test was used for comparing multi-system conditions before and after treatment.Results:The age of 15 cases (7 males, 8 females) was 6.8 (2.8, 8.3) years, with 2 cases of type 1, 6 cases of type 2, and 7 cases of type 3 respectively, and the course of disease was 55.0 (21.0, 69.0) months. After 9.0 (9.0, 24.0) months of treatment, the motor function scale evaluations of the Hammersmith neurological examination section 2 (13.0 (7.0, 23.0) vs. 18.0 (10.0, 25.0) scores, Z=-2.67, P=0.018) of 15 children, the Hammersmith functional motor scale expanded (38.0 (18.5, 45.5) vs. 42.0 (23.0, 51.0) scores, Z=-2.38, P=0.018), and the revised upper limb module (27.0 (19.5, 32.0) vs. 33.0 (22.5, 35.5) scores, Z=-2.52, P=0.012) of children with type 2 and 3 had significantly improved. Thirteen patients achieved clinically significant motor function improvement, and 2 of them had kept stable scale scores. Subjective reports also indicated that the muscle strength and daily exercise ability of these children improved after treatment, and no serious adverse reactions were reported. Supplemented by the multi-disciplinary team management, the levels of some indicators such as Cobbs angle of scoliosis and forced vital capacity all had significantly improved (all P<0.05). Conclusions:Nusinersen can improve the motor function of patients with 5q spinal muscular atrophy, which is also proved safe to be used in children. The drug treatment supplemented by the multi-disciplinary team management is helpful to improve the multi-system function of the children with spinal muscular atrophy.
8.Constitutive androstane receptor induced-hepatomegaly and liver regeneration is partially
Yue GAO ; Shicheng FAN ; Hua LI ; Yiming JIANG ; Xinpeng YAO ; Shuguang ZHU ; Xiao YANG ; Ruimin WANG ; Jianing TIAN ; Frank J GONZALEZ ; Min HUANG ; Huichang BI
Acta Pharmaceutica Sinica B 2021;11(3):727-737
The constitutive androstane receptor (CAR, NR3I1) belongs to nuclear receptor superfamily. It was reported that CAR agonist TCPOBOP induces hepatomegaly but the underlying mechanism remains largely unknown. Yes-associated protein (YAP) is a potent regulator of organ size. The aim of this study is to explore the role of YAP in CAR activation-induced hepatomegaly and liver regeneration. TCPOBOP-induced CAR activation on hepatomegaly and liver regeneration was evaluated in wild-type (WT) mice, liver-specific YAP-deficient mice, and partial hepatectomy (PHx) mice. The results demonstrate that TCPOBOP can increase the liver-to-body weight ratio in wild-type mice and PHx mice. Hepatocytes enlargement around central vein (CV) area was observed, meanwhile hepatocytes proliferation was promoted as evidenced by the increased number of KI67
9.Analysis of serum anti-EB virus antibody in children with infectious mononucleosis
Xiaolei GUAN ; Jing YAN ; Qiuhong ZHAO ; Qiuping LI ; Jianing YAO ; Yue CUI ; Junhong AI ; Ran WANG ; Zhengde XIE
Chinese Journal of Applied Clinical Pediatrics 2021;36(13):1004-1006
Objective:To understand the profile type of serum Epstein-Barr virus (EBV) antibodies in children with infectious mononucleosis (IM), and to analyze the significance of viral capsid antigen (VCA) IgG antibody affinity in the diagnosis of IM.Methods:Retrospective analysis was performed on the results of the serum anti-EBV antibody profile and plasma EBV nucleic acid test of 150 hospitalized children with IM diagnosed in Beijing Children′s Hospital, Capital Medical University, from May 2016 to May 2019.Anti-EBV antibody profiles, including anti-VCA-IgG, anti-VCA-IgM, anti-early antigen (EA) IgA, anti-EBV nuclear antigen (EBNA) IgG, and anti-VCA-IgG affinity, were detected by enzyme-linked immunosorbent assay (ELISA). Plasma EBV nucleic acids were detected by real-time quantitative PCR.Results:There were mainly two types of anti-EBV antibody profiles in 150 children with IM: (1)130 cases who were positive for anti-VCA-IgM/IgG, negative for anti-EBNA-IgG and positive for anti-VCA-IgG antibodies with low affinity, accounting for 86.7% (130/150 cases), of which 50 cases were positive for anti-early antigen IgA; (2)18 cases who were negative for anti-VCA-IgM, positive for anti-VCA-IgG, negative for anti-EBNA-IgG and positive for anti-VCA-IgG antibody with low affinity, accounting for 12.0% (18/150 cases), of which 5 cases were positive for anti-EA IgA.EBV DNA was measured in 132 children, with a posi-tive rate of 37.9% (50/132 cases).Conclusions:There were several types of serum EBV antibody profiles in children with IM, 12.0% of patients with IM in this study were negative for anti-VCA-IgM, and the diagnosis of IM was confirmed by the affinity of anti-VCA IgG.
10.Clinical features and genetic analysis of a Welander distal myopathy family with a mutation in T-cell intracellular antigen 1 gene
Jianing LIN ; Weineng CHEN ; Pian HUANG ; Youna XIE ; Minying ZHENG ; Xiaoli YAO
Chinese Journal of Neurology 2020;53(11):896-901
Objective:To discuss the clinical features of a family with Welander distal myopathy and analyze the genetic characteristics of the T-cell intracellular antigen 1 (TIA1) gene mutation in this family.Methods:The clinical data, electrophysiological and pathological examination results of some family members were collected, and the proband was tested by next generation sequencing techniques to detect possible pathogenic mutations. Sanger sequencing was performed in some family members for the gene mutations closely related to the clinical phenotype.Results:The proband, a 30-year-old man, manifested progressive weakness and muscle atrophy in distal limbs, followed by the involvement of muscles in proximal limbs. A gene mutation of c.91G>A was detected by genetic testing in the TIA1 gene, which was associated with Welander distal myopathy. The further Sanger sequencing revealed the same mutation site in the proband′s mother, one younger brother and his youngest uncle, who showed similar symptoms as the proband including muscle weakness and atrophy. The youngest brother of the proband was a mutation carrier without obvious symptoms, and his electromyography test showed myogenic injuries.Conclusions:Welander′s distal myopathy is a slowly progressing autosomal dominant disorder, characterized by weakness and muscle atrophy mainly in the extremities. In this family, the patients showed the onset in the extremities of the lower limbs and presented weakness and atrophy in distal and proximal limbs, with disease heterogeneity among patients. Genetic testing and the analysis of the family members confirmed the diagnosis of Welander′s distal myopathy and the pathogenic mutation c.91G>A in the TIA1 gene.

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