1.Electrophysiologic study of f-wave amplitude in chronic atrial fibrillation associated with rheumatic heart disease
Li LI ; Baocheng JIA ; Baoren ZHANG ; Zengwei WANG ; Jialin ZHU
Academic Journal of Second Military Medical University 2005;26(2):127-130
To investigate the electrophysiologic characteristics of f-wave amplitude and to evaluate its role in development and persistence of chronic atrial fibrillation (AF) associated with rheumatic heart disease (RHD). Methods: Epicardial mapping was performed in 44 patients with chronic AF of RHD who underwent heart valve surgery. Ten patients with supraventricular tachycardia served as the control group. Results:The f-wave amplitude of left atrium (LA) and middle and low LA posterior regions were significantly lower than those of the control group. The f-wave amplitudes of the upper, middle and low sections in LA posterior region were significantly lower than those in right atrium (RA) (P<0.05). The f-wave amplitudes were compared before and after electrocardioversion in 14 patients with chronic AF. The mean atrial electrogram amplitude during sinus rhythm was significantly higher than that during AF (P<0.01).The f-wave amplitude in left appendage was higher than that in LA posterior region (the upper,middle and the lower part),P<0.05.The f-wave amplitude in the upper section of LA was significantly higher than that in the middle section. The f-wave amplitude in AF group was not correlated to the diameter or volume of both atria. Conclusion: There are amplitudes differences between the upper, middle and lower LA,suggesting that the middle and lower sections of LA posterior wall may be the region producing anisotropy and reentrant circle.
2.Diagnosis and surgical treatment of a special type of Maisonneuve injury
Bo YIN ; Junlin ZHOU ; Yang LIU ; Jialin JIA ; Yuanming HE
Chinese Journal of Orthopaedic Trauma 2021;23(2):162-166
Objective:To report the diagnosis and surgical treatment of a special type of Maisonneuve injury.Methods:A total of 4 patients were treated at Department of Orthopaedics, Beijing Chao Yang Hospital from January 2015 to July 2019 for Maisonneuve injury. They were 3 males and one female, aged from 34 to 61 years (average, 45.3 years). All injuries were closed, initially manifested as posterior dislocation of the ankle on X-ray films and X-ray and CT re-exams after manual reduction showed fine reduction with no obvious fracture of the ankle joint. Consequently the diagnosis of their Maisonneuve injury was missed in emergency visits, but re-exams in outpatient visits showed separation of distal tibiofibular syndesmosis. All the patients were treated by restoration of the fibular length, fixation of the distal tibiofibular syndesmosis and repair of the triangular ligament. American Orthopaedic Foot and Ankle Society (AOFAS) ankle-hindfoot score was used to evaluate functional recovery of the ankle joint at 12 months after operation.Results:All the 4 patients were followed up for 12 to 14 months (average, 12.7 months). The fractures united after 110 to 185 days (average, 149.3 days). No post-operative complications like infection, delayed union or nonunion were observed. The AOFAS score at 12 months ranged from 82 to 96 points (average, 90.5 points), giving 3 excellent and one good cases.Conclusions:The Maisonneuve injury which is clinically manifested as posterior dislocation of the ankle with no obvious fracture of the ankle joint is likely to be missed in clinical diagnosis. Therefore, X-ray exam of the full length tibia and fibula should be taken in physical examination after reduction for the patients with simple posterior dislocation of the ankle. Once the special type of Maisonneuve injury is diagnosed, surgical treatment is indicated. Satisfactory treatment efficacy can be achieved by fixation of the distal tibiofibular syndesmosis and repair of the triangular ligament.
3.Effects of Xin Kang Injection on Cardiac Function of Rats with Adriamycin-induced Myocarditis
Hongli ZHAN ; Dong JIA ; Hong ZHANG ; Jialin DU ; Yue QI ; Yanju ZHU
Traditional Chinese Drug Research & Clinical Pharmacology 1993;0(04):-
Objective To study the effect of Xin Kang Injection on cardiac function of rats with adriamycin-induced myocarditis and to explore its pharmacological mechanism.Methods Seventy Wistar rats were randomly divided into seven groups:normal control group,model group,three-dosage Xin Kang Injection groups(high-,moderate-and low-dosage respectively),deslanoside group,and Huangqi group.The myocarditis rat model was established by intraperitoneal injection of adriamycin.Left ventricular end-diastolic pressure(LVEDP),left ventricular systolic pressure(LVSP),heart rate(HR),T value,and ? DP/DTmax were observed.Results LVSP,+ DP/DTmax in the treatment groups were higher and-DP/DTmax lower than those in the model group(P
4.Progress in Multidisciplinary Diagnosis and Treatment of Familial Brain Tumors
Muyuan JIA ; Ze LI ; Yuyang LIU ; Jialin LIU ; Xiaoque ZHENG ; Yunjuan BAI ; Ling CHEN
Cancer Research on Prevention and Treatment 2022;49(6):514-521
The tumors of central nervous system refer to a group of benign and malignant diseases originating from tissues or structures within the central nervous system. Common tumors of central nervous system are sporadic, but a few have familial onset. Compared with sporadic brain tumors, the clinical symptoms, diagnostic ideas and follow-up review plans of familial brain tumors are more complicated. The multidisciplinary diagnosis and treatment (MDT) mode usually refers to a treatment mode in which a case involving multiple organs and systems is discussed, and the best treatment plan is formulated for the patient based on the comprehensive opinions of various disciplines. Because familial brain tumors often involve multiple organs, multiple disciplines and multiple systems, and their low incidence leads to less clinical experience for neurosurgeons, the MDT model is more conducive to efficient diagnosis, treatment and management of familial brain tumors. This review elaborates on the neurosurgeon-led MDT model, and introduces the latest research on the epidemiology, genetic characteristics, clinical manifestations, diagnostic ideas and multidisciplinary management of familial brain tumors.
5.Genetic variations and clinical phenotypic characteristics of epilepsy associated with CSNK2B gene mutations
Mengyue WANG ; Ting WANG ; Xiaoli ZHANG ; Yichao MA ; Jialin LI ; Miaomiao CHENG ; Ying YANG ; Xiaoli LI ; Yuehua ZHANG ; Tianming JIA
Chinese Journal of Applied Clinical Pediatrics 2024;39(7):523-527
Objective:To analyze the genetic variations and clinical phenotypic characteristics of epilepsy associated with CSNK2B gene mutations. Methods:A case series summary study.Clinical data of 15 epileptic children with CSNK2B gene mutations diagnosed and treated at the Third Affiliated Hospital of Zhengzhou University and the Peking University First Hospital from February 2016 to October 2023 were retrospectively analyzed.The clinical manifestations, genotypes, and electroencephalography (EEG) results were summarized. Results:Among the 15 children (8 boys and 7 girls), 14 cases had de novo mutations in the CSNK2B gene, and 1 case had hereditary variations.There were 5 missense variants, 4 splice-site variants, 3 frameshift variants, and 3 nonsense variants.Ten mutation sites had not been previously reported (c.326G>A/p.Cys109Tyr, c.485A>G/p.His162Arg, c.368-1G>A, c.464A>C/p.Asp155Ala, c.301T>G/p.Tyr101Asp, c.342T>A/p.Cys114*, c.198del/p.Asn67Thrfs*5, c.292-10T>G, c.573-574del/p.Lys191Asnfs*54, and c. 11C>G/p.Ser4*).The age of onset of seizures ranged from 14 days to 6 years, with 13 cases starting within 2 years old.The types of seizures included focal seizures in 9 cases, generalized tonic-clonic seizure (GTCS) in 5 cases, myoclonic seizures in 1 case, atonic seizures in 1 case, atypical absence seizures in 1 case, and epileptic seizures in 1 case.Three cases had multiple seizures, and 4 cases had cluster seizures.The EEG showed slow background activity in 1 case.Epileptiform discharges were observed in 13 cases during the interictal phase, including generalized discharges in 6 cases, multifocal discharges in 3 cases, and focal discharges in 5 cases.Two cases had normal EEG findings.Brain magnetic resonance imaging results were normal in 10 cases.The age of the last follow-up ranged from 1 year and 1 month to 13 years and 10 months.Seizures were controlled in 12 cases treated with 1 or 2 antiepileptic drugs, while seizures persisted in 2 cases treated with multiple antiepileptic drugs, and 1 case suffered no seizures for 1 year and 3 months, without antiepileptic drug treatment.Oxcarbazepine was effective in 5 cases (5/7), Valproate sodium was effective in 6 cases (6/8), and Levetiracetam was effective in 3 cases (3/9). Conclusions:CSNK2B gene mutations are mainly de novo mutations, and epilepsy triggered by them typically starts within 2 years of age.GTCS and focal seizures are the most common types.The seizures of most children are easily controlled with the effective treatment of Oxcarbazepine, Valproate sodium, and Levetiracetam.
6.Analysis of Open Sharing Strategies of Biomedical Scientific Data Based on the Multiple-case Study
Jialin WAN ; Xiaofeng JIA ; Zhimin HU
Journal of Medical Informatics 2024;45(2):20-25
Purpose/Significance To put forward strategies for the open sharing of biomedical scientific data and provide theoretical support for the sustainable development of scientific data in China.Method/Process The paper adopts the multiple-case study method to analyze open sharing practices of four international typical biomedical scientific data platforms,including UK Biobank,National Center for Biotechnology Information(NCBI),Global Initiative on Sharing All Influenza Data(GISAID)and Cortellis Drug Discovery Intelli-gence(CDDI).Result/Conclusion Suggestions are proposed based on three processes of before,during and after data sharing.In the construction of data resources,the division of data rights and rights subjects should be determined.The open use of data should be differ-entiated according to data attributes.In terms of data ecology construction,mechanisms and measures to promote data value-added should be formulated.
7.Reliability and validity of Scale for TCM Pattern Element Differentiation of Depression
Miao YU ; Qiyu LI ; Rongjuan GUO ; Aiqing HAN ; Jialin WANG ; Jia XING ; Jianxin CHEN ; Ming LU
Journal of Beijing University of Traditional Chinese Medicine 2017;40(7):599-602
Objective To review the reliability and validity of the Scale for TCM Pattern Element Differentiation of Depression.Methods The reliability was detected by using test-retest reliability,splithalf reliability and internal consistency reliability,and validity was evaluated by using criterion related validity and construct validity in 232 patients with depression.Results The correlation coefficient of test-retest reliability of each pattern element was between 0.612 and 0.977,Cronbach's α coefficient of the total scale was 0.892,split-half reliability was 0.849,and Kappa coefficient was between 0.689 and 0.892.The results of factor analysis showed that 8 common factors were roughly consistent with anticipated results,and accumulating contribution rate was 53.43%.Conclusion The Scale for TCM Pattern Element Differentiation of Depression has higher reliability and validity.
8.Clinical and genetic analysis of two children with TANC2 gene variants and a literature review
Manman CHU ; Dan XU ; Jiayang XIE ; Xiaoli ZHANG ; Mengyue WANG ; Jialin LI ; Yichao MA ; Xiaoli LI ; Junling WANG ; Tianming JIA
Chinese Journal of Medical Genetics 2024;41(10):1195-1200
Objective:To explore the clinical and genetic characteristics of two children with Neurodevelopmental disorders (NDDs) due to variants of TANC2 gene. Methods:Clinical data of two children who were admitted to the Third Affiliated Hospital of Zhengzhou University respectively in April 2020 and April 2021 were retrospectively analyzed. Peripheral blood samples of the children and their parents were collected and subjected to whole exome sequencing. Candidate variants were verified by Sanger sequencing. By using " TANC2 gene", "Neurodevelopmental disorders", "Nervous system development disorders", " TANC2" as the key words, similar cases were searched from the CNKI, Wanfang database platform and PubMed database, with the search time set as from the establishment of the database to December 2023. This study was approved by Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No. 2020-57). Results:Case 1 was a 1-year-and-3-month-old girl who had developed convulsions at 1 year old and had three episodes of seizures. Her epilepsy had resolved with the treatment of oxcarbazepine, which was stopped at the age of 2-year-and-7-month. Her language, movement and intelligence development were all normal. Case 2 was a 1-year-and-10-month-old boy, who had developed convulsions at 1 year old. His seizure type was myoclonus, and the frequency was dozens of times a day. His epilepsy had resolved with the treatment of sodium valproate. His language, movement and intelligence development was delayed for about half a year. Genetic analysis showed that both children had harbored novel variants of the TANC2 gene (NM_025185.4), including c. 3398G>A (p.Gly1133Glu) and c.2829+ 1G>A, respectively. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the former was rated as likely pathogenic (PS2+ PM2_Supporting+ PP3) and the latter was rated as pathogenic (PVS1+ PS2+ PM2_Supporting). Two previous reports were retrieved, which had involved 17 cases and 16 variants. Common features had included autism spectrum disorder (70.6%, 12/17), intellectual disability (94.1%, 16/17), language and motor retardation (88.2%, 15/17; 58.8%, 10/17), facial dysmorphism, epilepsy, ataxia, and thoracic and spinal deformities. Conclusion:Variants of the TANC2 gene probably underlay the epilepsy and development delay in these children with NDDs.
9.Comparative historical study of NIH data sharing policies and its enlightenments for China
Jialin WAN ; Xiaofeng JIA ; Zhimin HU
Chinese Journal of Medical Science Research Management 2024;37(4):262-268
Objective:By reviewing the new requirements of NIH Policy for Data Management and Sharing (DMS Policy) issued by the National Institutes of Health in 2020 and summarizing the trends of scientific data management and sharing in the future, this study provided enlightenment and reference for China to improve the construction of scientific data management policy system and promote the practice of biomedical scientific data sharing.Methods:Using a comparative historical approach, this study compared the two editions of DMS policy published in 2003 and 2020 from the aspects of policy structure and policy contents.Results:The new DMS policy presented the following trends: mandatory data sharing, high-quality data submission, prospective data management, and intensified privacy protection.Conclusions:According to the national conditions of China, this paper put forward the following suggestions: promoting mandatory data sharing led by research funders, improving the quality evaluation system for scientific data submission; forming a prepositioned data management and sharing mode; and developing guidelines for secure sharing and use of data derived from human participants.
10.Advantages and application strategies of machine learning in diagnosis and treatment of lumbar disc herniation
Weijie YU ; Aifeng LIU ; Jixin CHEN ; Tianci GUO ; Yizhen JIA ; Huichuan FENG ; Jialin YANG
Chinese Journal of Tissue Engineering Research 2024;28(9):1426-1435
BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.