2.Thrombolytic Therapy and Long Term Follow-up Study in a Child with Kawasaki Disease Complicated by Giant Coronary Aneurysm with Thrombosis.
Su Jung MOON ; Su Ya LEE ; Kyong Hee NA ; Sun Young PARK ; Eun Young KIM ; Kyoung Sim KIM ; Yong Wook KIM
Journal of the Korean Pediatric Society 2003;46(3):302-307
The long-term clinical issues in Kawasaki disease are concerned with the coronary artery lesions that result in aneurysmal formation, thrombotic occlusion, progression to ischemic heart disease, and premature atherosclerosis. We here report a 3 month old infant with Kawasaki disease complicated by giant coronary aneurysm with thrombosis. After urokinase(10,000 IU/kg) and heparin(400 IU/kg) were injected for two days as thrombolytic agents, thrombi were successfully dissolved. Even though long-term oral anticoagulation with low-dose aspirin, dipyridamole and coumadin were administered, thrombosis of the left main coronary artery was slowly increased. five years later, coronary angiography showed nearly total occlusion of the left anterior descending artery and collaterals from the right posterior branch and radionuclide scan demonstrated complete reversible perfusion defect of several portions of the left ventricle.
Aneurysm
;
Arteries
;
Aspirin
;
Atherosclerosis
;
Child*
;
Coronary Aneurysm*
;
Coronary Angiography
;
Coronary Vessels
;
Dipyridamole
;
Fibrinolytic Agents
;
Follow-Up Studies*
;
Heart Ventricles
;
Humans
;
Infant
;
Mucocutaneous Lymph Node Syndrome*
;
Myocardial Ischemia
;
Perfusion
;
Thrombolytic Therapy*
;
Thrombosis*
;
Warfarin
3.Comparative study on the quality of life and mental health of teenagers in Zhengzhou and HongKong and Taiwan
CHANG Mingyu,ZHANG Ruixing,WANG Mengjia,CHENG Mengyin,Regina Lee,Ing Ya Su
Chinese Journal of School Health 2021;42(4):579-582
Objective:
To explore the quality of life and mental health status of adolescents in Zhengzhou, and to compare with HongKong and Taiwan.
Methods:
A total of 6 401 students from 12 primary and secondary schools in Zhengzhou City. A total of 3 642 students from HongKong and 1 547 students from Taiwan were selected by cluster sampling. And Padiatric Quality of Life Inventory Version 4.0, Self-Esteem Scale, General Self-efficacy Scale, Depression Anxiety Stress Scale and self-made general situation questionnaire were used to conduct questionnaire survey.
Results:
The total score of quality of life and the scores of each dimension in Zhengzhou were significantly higher than those in HongKong, while self-esteem and anxiety were lower than those of Taiwan adolescents(P<0.05). In addition to self-esteem, anxiety and stress, the scores of quality of life and mental health of adolescents of different grades and genders in Zhengzhou were statistically different(t=13.53,20.71,10.92,20.26,14.68,-16.03,21.26;6.16,3.81,-2.22,-0.33,8.76,4.16,2.71,P<0.01). The quality of life of adolescents in HongKong and Taiwan in different grades and genders were basically the same as those in Zhengzhou, and the differences of depression and stress scores in grades were the same as those in Zhengzhou.
Conclusion
The overall quality of life and mental health of adolescents in Zhengzhou is better than that in Hong Kong and Taiwan. It is necessary to explore the relationship between the quality of life and mental health of adolescents in order to improve their quality of life.
4.Prophylactic Treatment with Diazepam or Valproate in Children with Recurrent Febrile Seizures.
Gu Ken SUN ; Su Ya LEE ; Eun Young KIM ; Kyoung Hee NA ; Sun Young PARK ; Kyoung Sim KIM ; Yong Wook KIM
Journal of the Korean Child Neurology Society 2003;11(2):309-315
PURPOSE: We tried to evaluate the effect of prophylactic treatment with short-term intermittent diazepam or long-term continuous valproate in prenventing the recurrence febrile seizures and compare the efficacy of both drugs. METHODS: Eighty six children who were admitted to the Kwangju Christian Hospital from March, 1997 to July, 1999 with more than three febrile seizures and more than one risk factor were enrolled in our study and followed up for one year. Among them, sixteen belonged to an oral diazepam group and twelve to a valproate group while fifty eight to a control group. We investigated the recurrence rate of each group for the period of a year. RESULTS: In the diazepam group, diazepam(0.3 mg/kg/dose) was administered orally every eight hours during the first febrile day and the recurrence rate was 6.2%. The recurrence rate of the valproate group(17 mg/kg/day, bid) was 25%. Those treatments significantly reduced the recurrence rates of febrile convulsions compared to the untreated control group(74.1%), but no significant differences were found between the two treatment groups in the respect of recurrence rates of febrile seizures. CONCLUSION: Both intermittent diazepam and continuous valproate treatment were equally effective in preventing the recurrence of febrile seizures.
Child*
;
Diazepam*
;
Gwangju
;
Humans
;
Recurrence
;
Risk Factors
;
Seizures, Febrile*
;
Valproic Acid*
5.Characterization of Respiratory Viral Infection in Children in Gwangju.
JIn Jong SEO ; Min Ji KIM ; Sun Hee KIM ; Hye Young KEE ; Jae Keun CHUNG ; Eun sun KIM ; Jong Tae PARK ; Kyoung Sim KIM ; Su ya LEE ; Myung Goun KIM ; Yoon Seok CHUNG
Infection and Chemotherapy 2008;40(4):218-229
BACKGROUND: This investigation was to perform the epidemiological surveillance and genetic analysis on respiratory viral agents from children with acute respiratory infections in Gwangju. MATERIALS AND METHODS: For this study, 3,695 specimens obtained from patients with acute respiratory infections were collected by collaboration with pediatric hospitals in Gwangju between 2005 and 2007. Specimens were screened for 8 respiratory viruses including influenza viruses (IFV), human rhinoviruses (HRV), human coronaviruses (HCoV), adenoviruses (ADV), parainfluenza viruses (PIV), human enteroviruses (HEV), respiratory synthitial viruses (RSV) and human bocaviruses (HBoV). Respiratory viruses were detected using multiplex (RT) PCR with viral specific primers. RESULTS: Out of 3,695 specimens, the ratio of virus detection was 24.9% (919). Overall, HRV (35.5%) and IFV (34.9%) were the most common viruses found, followed by HBoV (14.8%), HCoV (10.6%), RSV (3.7%), ADV (3.4%), PIV (3.2%) and HEV (3.0%). In addition, multiple infections were detected in 80 patients (8.7%). When the prevalence was analyzed according to season, HBoV, IFV and HCoV showed two epidemic points in late spring and early winter. ADV, HRV, RSV PIV and HEV, however, were all found to have only one epidemic point, with RSV being most common during winter and the others being most prominent during spring. CONCLUSIONS: Through this epidemiological surveillance, the respiratory viruses prevalent in children in Gwangju area were investigated. We strongly recommend the development of nationwide policy for the management of prevalent respiratory virus that includes long term collection of data and samples, vaccine development and prevention education of the misuse of antibiotics.
Adenoviridae
;
Anti-Bacterial Agents
;
Child
;
Cooperative Behavior
;
Coronavirus
;
Enterovirus
;
Hospitals, Pediatric
;
Human bocavirus
;
Humans
;
Orthomyxoviridae
;
Paramyxoviridae Infections
;
Polymerase Chain Reaction
;
Prevalence
;
Respiratory Tract Infections
;
Rhinovirus
;
Seasons
;
Viruses
6.Characterization of Respiratory Viral Infection in Children in Gwangju.
JIn Jong SEO ; Min Ji KIM ; Sun Hee KIM ; Hye Young KEE ; Jae Keun CHUNG ; Eun sun KIM ; Jong Tae PARK ; Kyoung Sim KIM ; Su ya LEE ; Myung Goun KIM ; Yoon Seok CHUNG
Infection and Chemotherapy 2008;40(4):218-229
BACKGROUND: This investigation was to perform the epidemiological surveillance and genetic analysis on respiratory viral agents from children with acute respiratory infections in Gwangju. MATERIALS AND METHODS: For this study, 3,695 specimens obtained from patients with acute respiratory infections were collected by collaboration with pediatric hospitals in Gwangju between 2005 and 2007. Specimens were screened for 8 respiratory viruses including influenza viruses (IFV), human rhinoviruses (HRV), human coronaviruses (HCoV), adenoviruses (ADV), parainfluenza viruses (PIV), human enteroviruses (HEV), respiratory synthitial viruses (RSV) and human bocaviruses (HBoV). Respiratory viruses were detected using multiplex (RT) PCR with viral specific primers. RESULTS: Out of 3,695 specimens, the ratio of virus detection was 24.9% (919). Overall, HRV (35.5%) and IFV (34.9%) were the most common viruses found, followed by HBoV (14.8%), HCoV (10.6%), RSV (3.7%), ADV (3.4%), PIV (3.2%) and HEV (3.0%). In addition, multiple infections were detected in 80 patients (8.7%). When the prevalence was analyzed according to season, HBoV, IFV and HCoV showed two epidemic points in late spring and early winter. ADV, HRV, RSV PIV and HEV, however, were all found to have only one epidemic point, with RSV being most common during winter and the others being most prominent during spring. CONCLUSIONS: Through this epidemiological surveillance, the respiratory viruses prevalent in children in Gwangju area were investigated. We strongly recommend the development of nationwide policy for the management of prevalent respiratory virus that includes long term collection of data and samples, vaccine development and prevention education of the misuse of antibiotics.
Adenoviridae
;
Anti-Bacterial Agents
;
Child
;
Cooperative Behavior
;
Coronavirus
;
Enterovirus
;
Hospitals, Pediatric
;
Human bocavirus
;
Humans
;
Orthomyxoviridae
;
Paramyxoviridae Infections
;
Polymerase Chain Reaction
;
Prevalence
;
Respiratory Tract Infections
;
Rhinovirus
;
Seasons
;
Viruses
7.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.