Deog Yoon Kim

Deog Yoon Kim


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 November 2021 in Journal of Bone Metabolism
Verified
Journal Article
Open access
PDF file
JKJin-Woo Kim
Jin-Woo Kim
MKMi Kyung Kwak
Mi Kyung Kwak
JHJung Joon Han
Jung Joon Han
Lee LeeLee Lee
Lee Lee
HKHa Young Kim
Ha Young Kim
DKDeog Yoon Kim
Deog Yoon Kim
Antiresorptives are the most widely prescribed drugs for the treatment of osteoporosis. They are also used in malignant bone metastases, multiple myeloma, and Paget's disease, and provide therapeutic efficacy on those diseases. However, it was reported that the occurrence of osteonecrosis of the jaw (ONJ) could be related to antiresorptive exposures, and there have been many cases regarding this issue. Therefore, a clearer definition and treatment guidelines were needed for this disease. The American Society for Bone and Mineral Research and the Amnerican Association of Oral and Maxillofacial Surgeons reported statements on bisphosphonate-related ONJ (BRONJ), and a revised version was recently presented. In the revised edition, the diagnosis BRONJ was changed to medication-related ONJ (MRONJ), which reflects consideration of the fact that ONJ also occurs for denosumab, a bone resorption inhibitor of the receptor activator of the nuclear factor-κB ligand antibody family, and bevacizumab, an anti-angiogenesis inhibitor. The Korean Society for Bone and Mineral Research and the Korean Association of Oral and Maxillofacial Surgeons had collectively formed a task force for the preparation of an official statement on MRONJ based on a previous position paper in 2015. The task force reviewed current knowledge and coordinated dental and medical opinions to propose the guideline customized for the local Korean situation.

18 January 2016 in Osteoporosis International
Verified
Journal Article
Closed access
PDF file
JLJ.-H. Lee
J.-H. Lee
YLY. K. Lee
Y. K. Lee
SOS.-H. Oh
S.-H. Oh
JAJeonghoon Ahn
Jeonghoon Ahn
YLY. E. Lee
Y. E. Lee
DKDeog Yoon Kim
Deog Yoon Kim

31 May 2024 in Journal of Bone Metabolism
Verified
Journal Article
Open access
PDF file
SKShinjune Kim
Shinjune Kim
YHYong-Chan Ha
Yong-Chan Ha
DKDeog Yoon Kim
Deog Yoon Kim
Jun-Il YooJun-Il Yoo
Jun-Il Yoo
Background: As recognized by the World Health Organization in 2016 with its inclusion in the International Classification of Diseases, Tenth Revision as M62.84, and by South Korea in 2021 as M62.5, the diagnostic guidelines for sarcopenia vary globally. Despite its prevalence in older populations, data on sarcopenia in Koreans aged 60 and above is scarce, highlighting the need for research on its prevalence in this demographic.Methods: Utilizing the 2022 Korea National Health and Nutrition Examination Survey dataset, sarcopenia was assessed among 1,946 individuals aged 60 or older according to the Asian Working Group for Sarcopenia 2019 criteria, incorporating grip strength and bioelectrical impedance analysis measurements. Statistical analyses were performed to differentiate categorical and continuous variables using logistic regression and Student’s t-tests, respectively.Results: The prevalence of sarcopenia was found to increase with age, with the highest prevalence observed in the oldest age group (80 years and older). The overall prevalence of sarcopenia in our study population was 6.8%. Among men, the prevalence of sarcopenia was 5.5% in the 60 or older age group, 9.6% in the 70 or older age group, and 21.5% in the 80 or older age group. Among women, the prevalence of sarcopenia was 7.9%, 10.5%, and 25.9%, respectively.Conclusions: This study highlights the significant burden of sarcopenia in elderly Koreans, particularly among the oldest individuals. These findings call for targeted interventions to manage and prevent sarcopenia, along with further research on its risk factors, consequences, and effective mitigation strategies.

30 November 2021 in Journal of Bone Metabolism
Verified
Journal Article
Open access
PDF file
BYByung-Ho Yoon
Byung-Ho Yoon
DKDeog Yoon Kim
Deog Yoon Kim

1 January 2019 in Journal of Korean Medical Science
Verified
Journal Article
Open access
SPSo Young Park
So Young Park
ECEun Mi Choi
Eun Mi Choi
KSKwang Sik Suh
Kwang Sik Suh
HKHyun-Sook Kim
Hyun-Sook Kim
SCSang Ouk chin
Sang Ouk chin
SCSuk Chon
Suk Chon
Park SY, et al. J Korean Med Sci. 2019 Sep;34(41):e267. https://doi.org/10.3346/jkms.2019.34.e267

17 September 2020 in Journal of Personalized Medicine
Verified
Journal Article
Open access
PDF file
CKChanwoo Kim
Chanwoo Kim
SHSang Ah Han
Sang Ah Han
KWKyu Yeoun Won
Kyu Yeoun Won
IHIl Ki Hong
Il Ki Hong
DKDeog Yoon Kim
Deog Yoon Kim
Cancer stem cells (CSCs) contribute to chemoresistance and tumor relapse. By using the distinct metabolic phenotype of CSC, we designed novel PET parameters for CSC metabolism and investigated their clinical values. Patients with breast cancer who underwent 18F-FDG PET/CT before neoadjuvant chemotherapy (NAC) were retrospectively included. We developed a method to measure CSC metabolism using standardized uptake value histogram data. The predictive value of novel CSC metabolic parameters for pathologic complete response (pCR) was assessed with multivariable logistic regression. The association between the CSC parameter and disease-free survival (DFS) was also determined. We identified 82 patients with HER2-positive/triple-negative subtypes and 38 patients with luminal tumors. After multivariable analysis, only metabolic tumor volume for CSC (MTVcsc) among metabolic parameters remained the independent predictor of pCR (OR, 0.12; p = 0.022). MTVcsc successfully predicted pathologic tumor response to NAC in HER2-positive/triple-negative subtypes (accuracy, 74%) but not in the luminal subtype (accuracy, 29%). MTVcsc was also predictive of DFS, with a 3-year DFS of 90% in the lower MTVcsc group (1.75 cm3). A novel data-driven PET parameter for CSC metabolism provides early prediction of pCR after NAC and DFS in HER2-positive and triple-negative subtypes.