Dayoung Kim
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Dayoung Kim has a total of 27 co-authors. Here are the top co-authors by number of shared publications:
- Jeeyoung Oh
Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
4 shared publications - Kyomin Choi
Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
2 shared publications - Byoung Joon Kim
Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
1 shared publication - Eungseok Oh
Department of Neurology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
1 shared publication - Eunhee Sohn
Department of Neurology, Chungnam National University College of Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea
1 shared publication Gucheol Jung
Department of Medical Artificial Intelligence, Deepnoid, Inc., Seoul, Korea
1 shared publication
Latest Publications
- 3 September 2026
- Published by SAGE Publications in Journal of Alzheimer’s Disease
- Vol. 113 (4) , 1717-1730
Longitudinal CDR-Sum of Boxes trajectories in mild cognitive impairment reveal functional heterogeneity beyond cognitive decline: A latent class growth analysis
Background: Mild cognitive impairment (MCI) is clinically heterogeneous, yet most prognostic studies rely on binary conversion endpoints or expensive biomarkers unavailable in routine practice. Objective: To identify trajectory classes of the Clinical Dementia Rating-Sum of Boxes (CDR-SB) progression in MCI using latent class growth analysis (LCGA) and to determine whether they capture clinically relevant variation not reducible to Mini-Mental State Examination (MMSE) trajectories. Methods: LCGA was applied to longitudinal CDR-SB data from 121 MCI patients (baseline global CDR = 0.5) with two or more serial assessments across up to eight visits at three tertiary hospitals. Models with one through four classes were compared using BIC, AIC, entropy and minimum class size, with annual MMSE change and dementia conversion (global CDR ≥ 1) as external validators. Results: A four-class model was selected: Stable (n = 20, 16.5%; −0.08 per visit; 0% conversion), Slow (n = 46, 38.0%; +0.41 per visit; 47.8%), Moderate (n = 22, 18.2%; +0.75 per visit; 81.8%), and Fast (n = 33, 27.3%; +2.07 per visit; 100%); conversion-free survival differed across classes (log-rank p < 0.001). Two classes with near-identical MMSE decline differed markedly in CDR-SB slope and conversion. The stability of the Stable class persisted when all classes were restricted to their first two visits. Conclusions: In this tertiary-care cohort, serial CDR-SB trajectory classification identified clinically meaningful MCI subgroups, including functional heterogeneity invisible to MMSE monitoring alone; pending external validation it may offer practical, low-cost prognostic value where biomarkers are unavailable.
- 3 September 2026
- Published by SAGE Publications in Journal of Alzheimer’s Disease
- Vol. 113 (4) , 1717-1730
Longitudinal CDR-Sum of Boxes trajectories in mild cognitive impairment reveal functional heterogeneity beyond cognitive decline: A latent class growth analysis
Background: Mild cognitive impairment (MCI) is clinically heterogeneous, yet most prognostic studies rely on binary conversion endpoints or expensive biomarkers unavailable in routine practice. Objective: To identify trajectory classes of the Clinical Dementia Rating-Sum of Boxes (CDR-SB) progression in MCI using latent class growth analysis (LCGA) and to determine whether they capture clinically relevant variation not reducible to Mini-Mental State Examination (MMSE) trajectories. Methods: LCGA was applied to longitudinal CDR-SB data from 121 MCI patients (baseline global CDR = 0.5) with two or more serial assessments across up to eight visits at three tertiary hospitals. Models with one through four classes were compared using BIC, AIC, entropy and minimum class size, with annual MMSE change and dementia conversion (global CDR ≥ 1) as external validators. Results: A four-class model was selected: Stable (n = 20, 16.5%; −0.08 per visit; 0% conversion), Slow (n = 46, 38.0%; +0.41 per visit; 47.8%), Moderate (n = 22, 18.2%; +0.75 per visit; 81.8%), and Fast (n = 33, 27.3%; +2.07 per visit; 100%); conversion-free survival differed across classes (log-rank p < 0.001). Two classes with near-identical MMSE decline differed markedly in CDR-SB slope and conversion. The stability of the Stable class persisted when all classes were restricted to their first two visits. Conclusions: In this tertiary-care cohort, serial CDR-SB trajectory classification identified clinically meaningful MCI subgroups, including functional heterogeneity invisible to MMSE monitoring alone; pending external validation it may offer practical, low-cost prognostic value where biomarkers are unavailable.
- Open Access
- 30 April 2024
- Published by Korea Disease Control and Prevention Agency in Osong Public Health and Research Perspectives
- Vol. 15 (2) , 174-181
Establishment of a registry of clinical data and bioresources for rare nervous system diseases
Rare diseases are predominantly genetic or inherited, and patients with these conditions frequently exhibit neurological symptoms. Diagnosing and treating many rare diseases is a complex challenge, and their low prevalence complicates the performance of research, which in turn hinders the advancement of therapeutic options. One strategy to address this issue is the creation of national or international registries for rare diseases, which can help researchers monitor and investigate their natural progression. In the Republic of Korea, we established a registry across 5 centers that focuses on 3 rare diseases, all of which are characterized by gait disturbances resulting from motor system dysfunction. The registry will collect clinical information and human bioresources from patients with amyotrophic lateral sclerosis, spinocerebellar ataxia, and hereditary spastic paraplegia. These resources will be stored at ICreaT and the National Biobank of Korea. Once the registry is complete, the data will be made publicly available for further research. Through this registry, our research team is dedicated to identifying genetic variants that are specific to Korean patients, uncovering biomarkers that show a strong correlation with clinical symptoms, and leveraging this information for early diagnosis and the development of treatments.
- 30 April 2024
- Published by Korea Disease Control and Prevention Agency in Osong Public Health and Research Perspectives
- Vol. 15 (2) , 174-181
Open AccessEstablishment of a registry of clinical data and bioresources for rare nervous system diseases
Rare diseases are predominantly genetic or inherited, and patients with these conditions frequently exhibit neurological symptoms. Diagnosing and treating many rare diseases is a complex challenge, and their low prevalence complicates the performance of research, which in turn hinders the advancement of therapeutic options. One strategy to address this issue is the creation of national or international registries for rare diseases, which can help researchers monitor and investigate their natural progression. In the Republic of Korea, we established a registry across 5 centers that focuses on 3 rare diseases, all of which are characterized by gait disturbances resulting from motor system dysfunction. The registry will collect clinical information and human bioresources from patients with amyotrophic lateral sclerosis, spinocerebellar ataxia, and hereditary spastic paraplegia. These resources will be stored at ICreaT and the National Biobank of Korea. Once the registry is complete, the data will be made publicly available for further research. Through this registry, our research team is dedicated to identifying genetic variants that are specific to Korean patients, uncovering biomarkers that show a strong correlation with clinical symptoms, and leveraging this information for early diagnosis and the development of treatments.
- Open Access
A Pilot Study of Autonomic Function Screening Tests for Differentiating Complex Regional Pain Syndrome Type II and Traumatic Neuropathic Pain
Background and Objectives: One of the most challenging tasks in a clinical setting is to differentiate between complex regional pain syndrome (CRPS) type II and traumatic neuropathic pain (NeP). CRPS is characterized by several dysautonomic manifestations, such as edema, hyper/hypohidrosis, skin color change, and tachycardia. This study compared the outcomes of autonomic function screening tests in patients with CRPS type II and traumatic NeP for diagnostic differentiation. Materials and Methods: CRPS type II was diagnosed according to the Budapest research criteria, while NeP was diagnosed according to the updated grading system suggested by the International Association for the Study of Pain Special Interest Group on Neuropathic Pain in 2016. Twenty patients with CRPS type II and twenty-five with traumatic NeP were investigated. Results: Twelve patients with CRPS type II presented abnormal results for the quantitative sudomotor axon reflex test (QSART). Abnormal QSART results were more common in the CRPS type II group. Conclusions: Analysis of QSART combined with other ancillary tests can help in the differential diagnosis of CRPS type II and traumatic NeP if factors influencing abnormal QSART are sufficiently controlled.
Open AccessA Pilot Study of Autonomic Function Screening Tests for Differentiating Complex Regional Pain Syndrome Type II and Traumatic Neuropathic Pain
Background and Objectives: One of the most challenging tasks in a clinical setting is to differentiate between complex regional pain syndrome (CRPS) type II and traumatic neuropathic pain (NeP). CRPS is characterized by several dysautonomic manifestations, such as edema, hyper/hypohidrosis, skin color change, and tachycardia. This study compared the outcomes of autonomic function screening tests in patients with CRPS type II and traumatic NeP for diagnostic differentiation. Materials and Methods: CRPS type II was diagnosed according to the Budapest research criteria, while NeP was diagnosed according to the updated grading system suggested by the International Association for the Study of Pain Special Interest Group on Neuropathic Pain in 2016. Twenty patients with CRPS type II and twenty-five with traumatic NeP were investigated. Results: Twelve patients with CRPS type II presented abnormal results for the quantitative sudomotor axon reflex test (QSART). Abnormal QSART results were more common in the CRPS type II group. Conclusions: Analysis of QSART combined with other ancillary tests can help in the differential diagnosis of CRPS type II and traumatic NeP if factors influencing abnormal QSART are sufficiently controlled.
- Open Access
- 1 January 2023
- Published by XMLink in Journal of Clinical Neurology
- Vol. 19 (6) , 558-564
Epidemiology of Chronic Inflammatory Demyelinating Polyneuropathy in South Korea: A Population-Based Study
Jung S, et al. J Clin Neurol. 2023 Jul;19:e56. https://doi.org/10.3988/jcn.2023.0007
- 1 January 2023
- Published by XMLink in Journal of Clinical Neurology
- Vol. 19 (6) , 558-564
Open AccessEpidemiology of Chronic Inflammatory Demyelinating Polyneuropathy in South Korea: A Population-Based Study
Jung S, et al. J Clin Neurol. 2023 Jul;19:e56. https://doi.org/10.3988/jcn.2023.0007
- Open Access
- 30 April 2021
- Published by The Korean Society of Clinical Neurophysiology in Annals of Clinical Neurophysiology
- Vol. 23 (1) , 53-55
Familial congenital myopathy with prominent decremental responses in repetitive nerve stimulation testing
Congenital myasthenic syndromes (CMSs) are rare genetic disorders characterized by weakness and fatigue resulting from impaired neuromuscular transmission. Genetic testing can confirm the diagnosis for some types of CMS; however, variations in genotype, clinical phenotypes, age at disease onset, and responses to treatment make diagnosis very difficult. Here we present two adult patients who had significant decremental responses in repetitive nerve stimulation testing and multi-minicore pathology, and who responded to treatment with a cholinesterase inhibitor.
- 30 April 2021
- Published by The Korean Society of Clinical Neurophysiology in Annals of Clinical Neurophysiology
- Vol. 23 (1) , 53-55
Open AccessFamilial congenital myopathy with prominent decremental responses in repetitive nerve stimulation testing
Congenital myasthenic syndromes (CMSs) are rare genetic disorders characterized by weakness and fatigue resulting from impaired neuromuscular transmission. Genetic testing can confirm the diagnosis for some types of CMS; however, variations in genotype, clinical phenotypes, age at disease onset, and responses to treatment make diagnosis very difficult. Here we present two adult patients who had significant decremental responses in repetitive nerve stimulation testing and multi-minicore pathology, and who responded to treatment with a cholinesterase inhibitor.