2.Ssangcheon, Life of Lee Young-Choon (1903–1980)
Kang-Hyu LEE ; Joo-Min LEE ; Soon-Jae YOON ; Chang-Seop LEE
Yonsei Medical Journal 2024;65(4):189-193
		                        		
		                        		
		                        		
		                        	
3.Validation Study of the Official Korean Version of the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale
Jinse PARK ; Seong-Beom KOH ; Kyum-Yil KWON ; Sang Jin KIM ; Jae Woo KIM ; Joong-Seok KIM ; Kun-Woo PARK ; Jong Sam PAIK ; Young H. SOHN ; Jin-Young AHN ; Eungseok OH ; Jinyoung YOUN ; Ji-Young LEE ; Phil Hyu LEE ; Wooyoung JANG ; Han-Joon KIM ; Beom Seok JEON ; Sun Ju CHUNG ; Jin Whan CHO ; Sang-Myung CHEON ; Suk Yun KANG ; Mee Young PARK ; Seongho PARK ; Young Eun HUH ; Seok Jae KANG ; Hee-Tae KIM
Journal of Clinical Neurology 2021;17(3):501-501
		                        		
		                        		
		                        		
		                        	
4.Validation Study of the Official Korean Version of the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale
Jinse PARK ; Seong-Beom KOH ; Kyum-Yil KWON ; Sang Jin KIM ; Jae Woo KIM ; Joong-Seok KIM ; Kun-Woo PARK ; Jong Sam PAIK ; Young H. SOHN ; Jin-Young AHN ; Eungseok OH ; Jinyoung YOUN ; Ji-Young LEE ; Phil Hyu LEE ; Wooyoung JANG ; Han-Joon KIM ; Beom Seok JEON ; Sun Ju CHUNG ; Jin Whan CHO ; Sang-Myung CHEON ; Suk Yun KANG ; Mee Young PARK ; Seongho PARK ; Young Eun HUH ; Seok Jae KANG ; Hee-Tae KIM
Journal of Clinical Neurology 2021;17(3):501-501
		                        		
		                        		
		                        		
		                        	
5.Validation Study of the Official Korean Version of the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale
Jinse PARK ; Seong-Beom KOH ; Kyum-Yil KWON ; Sang Jin KIM ; Jae Woo KIM ; Joong-Seok KIM ; Kun-Woo PARK ; Jong Sam PAIK ; Young H. SOHN ; Jin-Young AHN ; Eungseok OH ; Jinyoung YOUN ; Ji-Young LEE ; Phil Hyu LEE ; Wooyoung JANG ; Han-Joon KIM ; Beom Seok JEON ; Sun Ju CHUNG ; Jin Whan CHO ; Sang-Myung CHEON ; Suk Yun KANG ; Mee Young PARK ; Seongho PARK ; Young Eun HUH ; Seok Jae KANG ; Hee-Tae KIM
Journal of Clinical Neurology 2020;16(4):633-645
		                        		
		                        			 Background:
		                        			and Purpose: The Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is widely used for estimating the symptoms of Parkinson’s disease. Translation and validation of the MDS-UPDRS is necessary for non-English speaking countries and regions. The aim of this study was to validate the Korean version of the MDS-UPDRS. 
		                        		
		                        			Methods:
		                        			Altogether, 362 patients in 19 centers were recruited for this study. We translated the MDS-UPDRS to Korean using the translation-back translation method and cognitive pretesting. We performed both confirmatory and exploratory factor analyses to validate the scale.We calculated the comparative fit index (CFI) for confirmatory factor analysis, and used unweighted least squares for exploratory factor analysis. 
		                        		
		                        			Results:
		                        			The CFI was higher than 0.90 for all parts of the scale. Exploratory factor analysis also showed that the Korean MDS-UPDRS has the same number of factors in each part as the English version. 
		                        		
		                        			Conclusions
		                        			The Korean MDS-UPDRS has the same overall structure as the English MDSUPDRS. Our translated scale can be designated as the official Korean MDS-UPDRS. 
		                        		
		                        		
		                        		
		                        	
6.The Influence of Body Mass Index at Diagnosis on Cognitive Decline in Parkinson's Disease
Han Soo YOO ; Seok Jong CHUNG ; Phil Hyu LEE ; Young H SOHN ; Suk Yun KANG
Journal of Clinical Neurology 2019;15(4):517-526
		                        		
		                        			
		                        			BACKGROUND AND PURPOSE: Associations between alterations in body mass index (BMI) and cognitive function have been reported in Parkinson's disease (PD). We investigated whether the BMI at a PD diagnosis is associated with cognitive decline and the future development of dementia. METHODS: We recruited 70 patients with de novo PD who underwent neuropsychological testing every 3 years and were followed up for more than 6 years. We classified patients into the following three groups based on their BMI at the diagnosis: under-/normal weight (n=21), overweight (n=22), and obese (n=27). We evaluated differences in the rate of cognitive decline over time among the groups using linear mixed models and the conversion rate to dementia using survival analysis. RESULTS: The obese patients with PD showed a slower deterioration of global cognitive function as well as language and memory functions than did the under-/normal-weight group during the 6-year follow-up. The three BMI groups showed different rates of conversion to dementia (log-rank test: p=0.026). The combined overweight and obese group showed a lower risk of developing dementia compared with the under-/normal-weight group (hazard ratio= 0.36, 95% CI=0.12–0.82, p=0.046). CONCLUSIONS: We have demonstrated that a higher-than-normal BMI at the time of a PD diagnosis has a protective effect against the deterioration of cognitive function and the conversion to dementia.
		                        		
		                        		
		                        		
		                        			Body Mass Index
		                        			;
		                        		
		                        			Cognition
		                        			;
		                        		
		                        			Dementia
		                        			;
		                        		
		                        			Diagnosis
		                        			;
		                        		
		                        			Follow-Up Studies
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Memory
		                        			;
		                        		
		                        			Neuropsychological Tests
		                        			;
		                        		
		                        			Overweight
		                        			;
		                        		
		                        			Parkinson Disease
		                        			
		                        		
		                        	
7.The effect of education on ‘how to write the death certificate’ for resident trainees of the emergency department.
Eunjin KANG ; Hyeji LEE ; Sun Hyu KIM
Journal of the Korean Society of Emergency Medicine 2018;29(5):529-550
		                        		
		                        			
		                        			OBJECTIVE: This study investigated the most common errors on death certificates written by resident trainees of the emergency department and evaluated the effects of education on how to write a death certificate. METHODS: A casebook of 31 deaths was prepared based on actual death cases in the emergency room in 2016. Ten residents completed 31 death certificates for the death casebook without any prior notice and then received education on ‘How to write the death certificate.’ They completed the death certificates again for the same casebook after receiving the education and the number of errors on all death certificates was again determined and divided into major and minor errors. The average number of error types was compared before and after the education. RESULTS: Major errors occurred in 55% of all death certificates, but decreased to 32% after education. Minor errors decreased from 81% before education to 54% after education. The most common major error was ‘unacceptable cause of death’ (mean±standard deviation [SD], 10.2±8.2), and the most common minor error was ‘absence of time interval’ (mean±SD, 24.0±7.7), followed by ‘absence of other significant conditions’ (mean±SD, 14.6±6.1) before education. CONCLUSION: Education on ‘how to write a death certificate’ can help reduce errors on death certificates and improve the quality of death certificates.
		                        		
		                        		
		                        		
		                        			Death Certificates
		                        			;
		                        		
		                        			Education*
		                        			;
		                        		
		                        			Emergencies*
		                        			;
		                        		
		                        			Emergency Service, Hospital*
		                        			;
		                        		
		                        			Guidelines as Topic
		                        			
		                        		
		                        	
8.Erratum to: The KMDS-NATION Study: Korean Movement Disorders Society Multicenter Assessment of Non-Motor Symptoms and Quality of Life in Parkinson's Disease NATION Study Group.
Do Young KWON ; Seong Beom KOH ; Jae Hyeok LEE ; Hee Kyung PARK ; Han Joon KIM ; Hae Won SHIN ; Jinyoung YOUN ; Kun Woo PARK ; Sun Ah CHOI ; Sang Jin KIM ; Seong Min CHOI ; Ji Yun PARK ; Beom S. JEON ; Ji Young KIM ; Sun Ju CHUNG ; Chong Sik LEE ; Jeong Ho PARK ; Tae Beom AHN ; Won Chan KIM ; Hyun Sook KIM ; Sang Myung CHEON ; Hee Tae KIM ; Jee Young LEE ; Ji Sun KIM ; Eun Joo KIM ; Jong Min KIM ; Kwang Soo LEE ; Joong Seok KIM ; Min Jeong KIM ; Jong Sam BAIK ; Ki Jong PARK ; Hee Jin KIM ; Mee Young PARK ; Ji Hoon KANG ; Sook Kun SONG ; Yong Duk KIM ; Ji Young YUN ; Ho Won LEE ; Hyung Geun OH ; Jinwhan CHO ; In Uk SONG ; Young H. SOHN ; Phil Hyu LEE ; Jae Woo KIM
Journal of Clinical Neurology 2017;13(3):315-315
		                        		
		                        			
		                        			The original version of this article contained wrong informations of some authors which should be changed.
		                        		
		                        		
		                        		
		                        	
9.MicroRNA Biomarkers in Neurodegenerative Diseases and Emerging Nano-Sensors Technology.
Pratik SHAH ; Seok Keun CHO ; Peter Waaben THULSTRUP ; Morten Jannik BJERRUM ; Phil Hyu LEE ; Ju Hee KANG ; Yong Joo BHANG ; Seong Wook YANG
Journal of Movement Disorders 2017;10(1):18-28
		                        		
		                        			
		                        			MicroRNAs (miRNAs) are essential small RNA molecules (20–24 nt) that negatively regulate the expression of target genes at the post-transcriptional level. Due to their roles in a variety of biological processes, the aberrant expression profiles of miRNAs have been identified as biomarkers for many diseases, such as cancer, diabetes, cardiovascular disease and neurodegenerative diseases. In order to precisely, rapidly and economically monitor the expression of miRNAs, many cutting-edge nanotechnologies have been developed. One of the nanotechnologies, based on DNA encapsulated silver nanoclusters (DNA/AgNCs), has increasingly been adopted to create nanoscale bio-sensing systems due to its attractive optical properties, such as brightness, tuneable emission wavelengths and photostability. Using the DNA/AgNCs sensor methods, the presence of miRNAs can be detected simply by monitoring the fluorescence alteration of DNA/AgNCs sensors. We introduce these DNA/ AgNCs sensor methods and discuss their possible applications for detecting miRNA biomarkers in neurodegenerative diseases.
		                        		
		                        		
		                        		
		                        			Biological Processes
		                        			;
		                        		
		                        			Biomarkers*
		                        			;
		                        		
		                        			Cardiovascular Diseases
		                        			;
		                        		
		                        			DNA
		                        			;
		                        		
		                        			Fluorescence
		                        			;
		                        		
		                        			MicroRNAs*
		                        			;
		                        		
		                        			Nanotechnology
		                        			;
		                        		
		                        			Neurodegenerative Diseases*
		                        			;
		                        		
		                        			RNA
		                        			;
		                        		
		                        			Silver
		                        			
		                        		
		                        	
10.The KMDS-NATION Study: Korean Movement Disorders Society Multicenter Assessment of Non-Motor Symptoms and Quality of Life in Parkinson's Disease NATION Study Group.
Do Young KWON ; Seong Beom KOH ; Jae Hyeok LEE ; Hee Kyung PARK ; Han Joon KIM ; Hae Won SHIN ; Jinyoung YOUN ; Kun Woo PARK ; Sun Ah CHOI ; Sang Jin KIM ; Seong Min CHOI ; Ji Yun PARK ; Beom S JEON ; Ji Young KIM ; Sun Ju CHUNG ; Chong Sik LEE ; Jeong Ho PARK ; Tae Beom AHN ; Won Chan KIM ; Hyun Sook KIM ; Sang Myung CHEON ; Hee Tae KIM ; Jee Young LEE ; Ji Sun KIM ; Eun Joo KIM ; Jong Min KIM ; Kwang Soo LEE ; Joong Seok KIM ; Min Jeong KIM ; Jong Sam BAIK ; Ki Jong PARK ; Hee Jin KIM ; Mee Young PARK ; Ji Hoon KANG ; Sook Kun SONG ; Yong Duk KIM ; Ji Young YUN ; Ho Won LEE ; Hyung Geun OH ; Jinwhan CHO ; In Uk SONG ; Young H SOHN ; Phil Hyu LEE ; Jae Woo KIM
Journal of Clinical Neurology 2016;12(4):393-402
		                        		
		                        			
		                        			BACKGROUND AND PURPOSE: Nonmotor symptoms (NMS) in Parkinson's disease (PD) have multisystem origins with heterogeneous manifestations that develop throughout the course of PD. NMS are increasingly recognized as having a significant impact on the health-related quality of life (HrQoL). We aimed to determine the NMS presentation according to PD status, and the associations of NMS with other clinical variables and the HrQoL of Korean PD patients. METHODS: We surveyed patients in 37 movement-disorders clinics throughout Korea. In total, 323 PD patients were recruited for assessment of disease severity and duration, NMS, HrQoL, and other clinical variables including demographics, cognition, sleep scale, fatigability, and symptoms. RESULTS: In total, 98.1% of enrolled PD subjects suffered from various kinds of NMS. The prevalence of NMS and scores in each NMS domain were significantly higher in the PD group, and the NMS worsened as the disease progressed. Among clinical variables, disease duration and depressive mood showed significant correlations with all NMS domains (p<0.001). NMS status impacted HrQoL in PD (rS=0.329, p<0.01), and the association patterns differed with the disease stage. CONCLUSIONS: The results of our survey suggest that NMS in PD are not simply isolated symptoms of degenerative disease, but rather exert significant influences throughout the disease course. A novel clinical approach focused on NMS to develop tailored management strategies is warranted to improve the HrQoL in PD patients.
		                        		
		                        		
		                        		
		                        			Cognition
		                        			;
		                        		
		                        			Demography
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Korea
		                        			;
		                        		
		                        			Movement Disorders*
		                        			;
		                        		
		                        			Parkinson Disease*
		                        			;
		                        		
		                        			Prevalence
		                        			;
		                        		
		                        			Quality of Life*
		                        			
		                        		
		                        	
            
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