Sung Jae Choi

Sung Jae Choi


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 June 2018 in European Journal of Vascular and Endovascular Surgery
Verified
Journal Article
Closed access
JJJae Hyun Jung
Jae Hyun Jung
YLYoung Ho Lee
Young Ho Lee
GSGwan Gyu Song
Gwan Gyu Song
HJHan Saem Jeong
Han Saem Jeong
JKJae-Hoon Kim
Jae-Hoon Kim
SCSung Jae Choi
Sung Jae Choi

1 January 2015 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
WCWook-Jin Chung
Wook-Jin Chung
YPYong Bum Park
Yong Bum Park
CJChan Hong Jeon
Chan Hong Jeon
JJJo Won Jung
Jo Won Jung
KKKwang-Phil Ko
Kwang-Phil Ko
In-Jae OhIn-Jae Oh
In-Jae Oh
Chung WJ, et al. J Korean Med Sci. 2015 Oct;30(10):1429-1438. https://doi.org/10.3346/jkms.2015.30.10.1429

25 May 2017 in International Journal of Rheumatic Diseases
Verified
Journal Article
Closed access
PDF file
JJJae Hyun Jung
Jae Hyun Jung
HSHongdeok Seok
Hongdeok Seok
JKJae‐Hoon Kim
Jae‐Hoon Kim
GSGwan Gyu Song
Gwan Gyu Song
SCSung Jae Choi
Sung Jae Choi

1 May 2020 in International Journal of Pharmaceutics
Verified
Journal Article
Closed access
JJJae Hyun Jung
Jae Hyun Jung
SKSung Eun Kim
Sung Eun Kim
HKHaK-Jun Kim
HaK-Jun Kim
Kyeongsoon ParkKyeongsoon Park
Kyeongsoon Park
GSGwan Gyu Song
Gwan Gyu Song
SCSung Jae Choi
Sung Jae Choi

1 July 2018 in The Korean Journal of Internal Medicine
Verified
Journal Article
Open access
PDF file
JJJae Hyun Jung
Jae Hyun Jung
GSGwan Gyu Song
Gwan Gyu Song
JJJong Dae Ji
Jong Dae Ji
YLYoung Ho Lee
Young Ho Lee
JKJae-Hoon Kim
Jae-Hoon Kim
SCSung Jae Choi
Sung Jae Choi
We performed this study to investigate associations between metabolic syndrome, chronic kidney disease (CKD), and gout. We reviewed the medical records of 151 patients with gout at the Department of Rheumatology in Korea University Ansan Hospital. The following measures were examined: waist circumference, blood pressure, alcohol consumption, and levels of triglyceride, high density lipoprotein cholesterol, fasting serum glucose, serum uric acid (SUA), creatinine, insulin, and C-peptide. We assessed metabolic syndrome by the homeostasis model assessment of insulin resistance (HOMA-IR) index and renal function by the Modification of Diet in Renal Disease equation; patients were classified according to World Health Organization Asia-Pacific obesity criteria. The prevalence of metabolic syndrome in gout patients (50.8%) was higher than in non-gout patients. The mean SUA level was significantly higher in gout patients with metabolic syndrome (9.13 ± 3.15 mg/dL) than in gout patients without metabolic syndrome (8.14 ± 2.07 mg/dL). The mean SUA level was also significantly higher in patients with gout and CKD (9.55 ± 2.86 mg/dL) than in patients with gout but no CKD (7.74 ± 2.27 mg/dL). In gout patients, HOMA-IR was positively correlated with waist circumference (r = 0.409, p = 0.001). The prevalence of metabolic syndrome in patients with gout was 50.8%, which is higher than the prevalence in the general Korean population. Hyperuricemia in gout patients was correlated with metabolic syndrome and CKD. Insulin resistance may provide clues to better understand the relationship between metabolic syndrome, CKD, and gout.

11 March 2020 in Scientific Reports
Verified
Journal Article
Open access
PDF file
JSJi Suk Shim
Ji Suk Shim
CKChulhan Kim
Chulhan Kim
JRJae Jun Ryu
Jae Jun Ryu
SCSung Jae Choi
Sung Jae Choi
The aim of this study was to evaluate the effect of rheumatic disease as a risk factor for temporomandibular disease (TMD). A total of 143 outpatients reporting symptoms indicating rheumatic disease at their first visit to the rheumatology clinic were included. We evaluated the temporomandibular joint (TMJ) with scintigraphic images, and standard questionnaires were administered for the symptomatic assessment for all patients. The patients were classified into ‘healthy controls’ or as per their diagnosis into ‘osteoarthritis’, ‘axial spondyloarthritis’, ‘peripheral spondyloarthritis’, ‘rheumatoid arthritis’, or ‘other rheumatic diseases’ groups. The patients were also differentiated depending on the presence or absence of axial involvement. The relation between the rheumatic disease type and findings at the TMJ were evaluated using statistical analyses. Axial spondyloarthritis, peripheral spondyloarthritis, and rheumatic arthritis patients showed significantly higher scintigraphic uptake at the TMJ compared with those in the control and osteoarthritis groups (axial spondyloarthritis: 4.5, peripheral spondyloarthritis: 4.5, rheumatoid arthritis: 4.09, control: 3.5, osteoarthritis: 3.4, p < 0.0001). Compared with patients without axial involvement, patients with axial involvement also showed significantly higher TMJ scintigraphic uptake (axial involvement: 4.24, without axial involvement: 3.50, p < 0.0001) with elevated symptomatic rates in TMD (axial involvement: 17.82, without axial involvement: 9.97, p < 0.005).