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- Cardiovascular Risk/Epidemiology
- Validation of Risk Prediction Models for Atherosclerotic Cardiovascular Disease in a Prospective Korean Community-Based Cohort
- Jae Hyun Bae, Min Kyong Moon, Sohee Oh, Bo Kyung Koo, Nam Han Cho, Moon-Kyu Lee
- Diabetes Metab J. 2020;44(3):458-469. Published online January 13, 2020
- DOI: https://doi.org/10.4093/dmj.2019.0061
- 6,866 View
- 225 Download
- 14 Web of Science
- 15 Crossref
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Abstract
PDF
Supplementary Material
PubReader Background To investigate the performance of the 2013 American College of Cardiology/American Heart Association Pooled Cohort Equations (PCE) in a large, prospective, community-based cohort in Korea and to compare it with that of the Framingham Global Cardiovascular Disease Risk Score (FRS-CVD) and the Korean Risk Prediction Model (KRPM).
Methods In the Korean Genome and Epidemiology Study (KOGES)-Ansan and Ansung study, we evaluated calibration and discrimination of the PCE for non-Hispanic whites (PCE-WH) and for African Americans (PCE-AA) and compared their predictive abilities with the FRS-CVD and the KRPM.
Results The present study included 7,932 individuals (3,778 men and 4,154 women). The PCE-WH and PCE-AA moderately overestimated the risk of atherosclerotic cardiovascular disease (ASCVD) for men (6% and 13%, respectively) but underestimated the risk for women (−49% and −25%, respectively). The FRS-CVD overestimated ASCVD risk for men (91%) but provided a good risk prediction for women (3%). The KRPM underestimated ASCVD risk for men (−31%) and women (−31%). All the risk prediction models showed good discrimination in both men (C-statistic 0.730 to 0.735) and women (C-statistic 0.726 to 0.732). Recalibration of the PCE using data from the KOGES-Ansan and Ansung study substantially improved the predictive accuracy in men.
Conclusion In the KOGES-Ansan and Ansung study, the PCE overestimated ASCVD risk for men and underestimated the risk for women. The PCE-WH and the FRS-CVD provided an accurate prediction of ASCVD in men and women, respectively.
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Citations
Citations to this article as recorded by
- Risk Factors for Infertility in Korean Women
Juyeon Lee, Chang-Woo Choo, Kyoung Yong Moon, Sang Woo Lyu, Hoon Kim, Joong Yeup Lee, Jung Ryeol Lee, Byung Chul Jee, Kyungjoo Hwang, Seok Hyun Kim, Sue K. Park
Journal of Korean Medical Science.2024;[Epub] CrossRef - Evaluating cardiovascular disease risk stratification using multiple-polygenic risk scores and pooled cohort equations: insights from a 17-year longitudinal Korean cohort study
Yi Seul Park, Hye-Mi Jang, Ji Hye Park, Bong-Jo Kim, Hyun-Young Park, Young Jin Kim
Frontiers in Genetics.2024;[Epub] CrossRef - Moderation of Weight Misperception on the Associations Between Obesity Indices and Estimated Cardiovascular Disease Risk
Kayoung Lee
International Journal of Behavioral Medicine.2023; 30(1): 89. CrossRef - Validation of the general Framingham Risk Score (FRS), SCORE2, revised PCE and WHO CVD risk scores in an Asian population
Sazzli Shahlan Kasim, Nurulain Ibrahim, Sorayya Malek, Khairul Shafiq Ibrahim, Muhammad Firdaus Aziz, Cheen Song, Yook Chin Chia, Anis Safura Ramli, Kazuaki Negishi, Nafiza Mat Nasir
The Lancet Regional Health - Western Pacific.2023; 35: 100742. CrossRef - Principles of cardiovascular risk management in perimenopausal women with type 2 diabetes
F. O. Ushanova, T. Yu. Demidova, T. N. Korotkova
FOCUS. Endocrinology.2023; 4(2): 19. CrossRef - Prediction of the 10-year risk of atherosclerotic cardiovascular disease in the Korean population
Sangwoo Park, Yong-Giun Kim, Soe Hee Ann, Young-Rak Cho, Shin-Jae Kim, Seungbong Han, Gyung-Min Park
Epidemiology and Health.2023; 45: e2023052. CrossRef - Triglyceride-Glucose Index Predicts Future Atherosclerotic Cardiovascular Diseases: A 16-Year Follow-up in a Prospective, Community-Dwelling Cohort Study
Joon Ho Moon, Yongkang Kim, Tae Jung Oh, Jae Hoon Moon, Soo Heon Kwak, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi, Nam H. Cho
Endocrinology and Metabolism.2023; 38(4): 406. CrossRef - Validity of the models predicting 10-year risk of cardiovascular diseases in Asia: A systematic review and prediction model meta-analysis
Mahin Nomali, Davood Khalili, Mehdi Yaseri, Mohammad Ali Mansournia, Aryan Ayati, Hossein Navid, Saharnaz Nedjat, Hean Teik Ong
PLOS ONE.2023; 18(11): e0292396. CrossRef - Assessing the Validity of the Criteria for the Extreme Risk Category of Atherosclerotic Cardiovascular Disease: A Nationwide Population-Based Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Journal of Lipid and Atherosclerosis.2022; 11(1): 73. CrossRef - Mediation of Grip Strength on the Association Between Self-Rated Health and Estimated Cardiovascular Disease Risk
Kayoung Lee
Metabolic Syndrome and Related Disorders.2022; 20(6): 344. CrossRef - Implications of the heterogeneity between guideline recommendations for the use of low dose aspirin in primary prevention of cardiovascular disease
Xiao-Ying Li, Li Li, Sang-Hoon Na, Francesca Santilli, Zhongwei Shi, Michael Blaha
American Journal of Preventive Cardiology.2022; 11: 100363. CrossRef - The Risk of Cardiovascular Disease According to Chewing Status Could Be Modulated by Healthy Diet in Middle-Aged Koreans
Hyejin Chun, Jongchul Oh, Miae Doo
Nutrients.2022; 14(18): 3849. CrossRef - Management of Cardiovascular Risk in Perimenopausal Women with Diabetes
Catherine Kim
Diabetes & Metabolism Journal.2021; 45(4): 492. CrossRef - Comparative performance of the two pooled cohort equations for predicting atherosclerotic cardiovascular disease
Alessandra M. Campos-Staffico, David Cordwin, Venkatesh L. Murthy, Michael P. Dorsch, Jasmine A. Luzum
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The American Journal of the Medical Sciences.2021; 362(5): 486. CrossRef
- Risk Factors for Infertility in Korean Women
- Clinical Diabetes and Therapeutics
- Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study
- Sang Youl Rhee, Suk Chon, Kyu Jeung Ahn, Jeong-Taek Woo
- Diabetes Metab J. 2019;43(1):49-58. Published online November 2, 2018
- DOI: https://doi.org/10.4093/dmj.2018.0033
- 5,301 View
- 131 Download
- 10 Web of Science
- 13 Crossref
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Abstract
PDFPubReader
Background The prevalence of diabetes mellitus (DM) continues to increase, and the disease burden is the highest of any medical condition in Korea. However, large-scale clinical studies have not yet conducted to establish the basis for diabetes prevention in Korea.
Methods The hospital-based Korean Diabetes Prevention Study (H-KDPS) is a prospective, multi-center, randomized, open-label controlled study conducted at university hospitals for the purpose of gathering data to help in efforts to prevent type 2 DM. Ten university hospitals are participating, and 744 subjects will be recruited. The subjects are randomly assigned to the standard care group, lifestyle modification group, or metformin group, and their clinical course will be observed for 36 months.
Results All intervention methodologies were developed, validated, and approved by Korean Diabetes Association (KDA) multi-disciplinary team members. The standard control group will engage in individual education based on the current KDA guidelines, and the lifestyle modification group will participate in a professionally guided healthcare intervention aiming for ≥5% weight loss. The metformin group will begin dosing at 250 mg/day, increasing to a maximum of 1,000 mg/day. The primary endpoint of this study is the cumulative incidence of DM during the 3 years after randomization.
Conclusion The H-KDPS study is the first large-scale clinical study to establish evidence-based interventions for the prevention of type 2 DM in Koreans. The evidence gathered by this study will be useful for enhancing the health of Koreans and improving the stability of the Korean healthcare system (Trial registration: CRIS KCT0002260, NCT02981121).
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Citations
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American Journal of Physiology-Endocrinology and Metabolism.2024; 326(4): E454. CrossRef - Development and Adaptability of Smartphone-based Dietary Coaching Program for Patients Undergoing Diabetes and Prediabetes with Continuous Glucose Monitoring Device
Myoung Soo Kim, Jung Mi Ryu, Minkyeong Kang, Jiwon Park, Yeh Chan Ahn, Yang Seok Kim
Journal of Health Informatics and Statistics.2023; 48(1): 36. CrossRef - Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
Journal of Personalized Medicine.2022; 12(11): 1899. CrossRef - Impaired fasting glucose levels in overweight or obese subjects for screening of type 2 diabetes in Korea
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The Korean Journal of Internal Medicine.2021; 36(2): 382. CrossRef - Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort
Sang Youl Rhee, Ji Min Sung, Sunhee Kim, In-Jeong Cho, Sang-Eun Lee, Hyuk-Jae Chang
Diabetes & Metabolism Journal.2021; 45(4): 515. CrossRef - 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
Diabetes & Metabolism Journal.2021; 45(4): 461. CrossRef - Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial
Jin-Hee Lee, Sun-Young Lim, Seon-Ah Cha, Chan-Jung Han, Ah Reum Jung, Kook-Rye Kim, Kun-Ho Yoon, Seung-Hyun Ko
Diabetes & Metabolism Journal.2021; 45(6): 960. CrossRef - 2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
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The Journal of Korean Diabetes.2021; 22(4): 244. CrossRef - Optimal fasting plasma glucose and haemoglobin A1c levels for screening of prediabetes and diabetes according to 2‐hour plasma glucose in a high‐risk population: The Korean Diabetes Prevention Study
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