Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population

Abstract Prediabetic subjects represent a vulnerable population, requiring special care to reduce the risk of diabetes onset. We developed and validated a diabetes risk score for prediabetic subjects using the Korea National Diabetes Program (KNDP) cohort. Subjects included in the multicenter and pr...

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Main Authors:	Morena Ustulin, Sang Youl Rhee, Suk Chon, Kyu Keung Ahn, Ji Eun Lim, Bermseok Oh, Sung-Hoon Kim, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Young Seol Kim, Jeong-Taek Woo
Format:	article
Language:	EN
Published:	Nature Portfolio 2018
Subjects:	Diabetes Risk Score External Cohort Prediabetic Subjects HIRA Database Korean Standard Classification Medicine R Science Q
Online Access:	https://doaj.org/article/e148c4a266e649b9bb82ec7308da4399
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spelling	oai:doaj.org-article:e148c4a266e649b9bb82ec7308da43992021-12-02T11:40:47ZImportance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population10.1038/s41598-018-34411-w2045-2322https://doaj.org/article/e148c4a266e649b9bb82ec7308da43992018-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-34411-whttps://doaj.org/toc/2045-2322Abstract Prediabetic subjects represent a vulnerable population, requiring special care to reduce the risk of diabetes onset. We developed and validated a diabetes risk score for prediabetic subjects using the Korea National Diabetes Program (KNDP) cohort. Subjects included in the multicenter and prospective cohort (n = 1162) had high diabetes risk at baseline (2005) and were followed until 2012. Survival analysis was performed to analyze the prospective cohort over time, and the bootstrap method was used to validate our model. We confirmed our findings in an external cohort. A diabetes risk score was calculated and the cut-off defined using a receiver operating characteristic curve. Age, body mass index, total cholesterol, and family history of diabetes were associated with diabetes. The model performed well after correction for optimism (Cadj = 0.735). A risk score was defined with a cut-off of ≥5 that maximized sensitivity (72%) and specificity (62%), with an area under the curve of 0.73. Prediabetic subjects with a family history of diabetes had a higher probability of diabetes (risk score = 5) irrespective of other variables; this result was confirmed in the external cohort. Hence, prediabetic subjects with a family history of diabetes have a higher probability of developing diabetes, regardless of other clinical factors.Morena UstulinSang Youl RheeSuk ChonKyu Keung AhnJi Eun LimBermseok OhSung-Hoon KimSei Hyun BaikYongsoo ParkMoon Suk NamKwan Woo LeeYoung Seol KimJeong-Taek WooNature PortfolioarticleDiabetes Risk ScoreExternal CohortPrediabetic SubjectsHIRA DatabaseKorean Standard ClassificationMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diabetes Risk Score External Cohort Prediabetic Subjects HIRA Database Korean Standard Classification Medicine R Science Q
spellingShingle	Diabetes Risk Score External Cohort Prediabetic Subjects HIRA Database Korean Standard Classification Medicine R Science Q Morena Ustulin Sang Youl Rhee Suk Chon Kyu Keung Ahn Ji Eun Lim Bermseok Oh Sung-Hoon Kim Sei Hyun Baik Yongsoo Park Moon Suk Nam Kwan Woo Lee Young Seol Kim Jeong-Taek Woo Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
description	Abstract Prediabetic subjects represent a vulnerable population, requiring special care to reduce the risk of diabetes onset. We developed and validated a diabetes risk score for prediabetic subjects using the Korea National Diabetes Program (KNDP) cohort. Subjects included in the multicenter and prospective cohort (n = 1162) had high diabetes risk at baseline (2005) and were followed until 2012. Survival analysis was performed to analyze the prospective cohort over time, and the bootstrap method was used to validate our model. We confirmed our findings in an external cohort. A diabetes risk score was calculated and the cut-off defined using a receiver operating characteristic curve. Age, body mass index, total cholesterol, and family history of diabetes were associated with diabetes. The model performed well after correction for optimism (Cadj = 0.735). A risk score was defined with a cut-off of ≥5 that maximized sensitivity (72%) and specificity (62%), with an area under the curve of 0.73. Prediabetic subjects with a family history of diabetes had a higher probability of diabetes (risk score = 5) irrespective of other variables; this result was confirmed in the external cohort. Hence, prediabetic subjects with a family history of diabetes have a higher probability of developing diabetes, regardless of other clinical factors.
format	article
author	Morena Ustulin Sang Youl Rhee Suk Chon Kyu Keung Ahn Ji Eun Lim Bermseok Oh Sung-Hoon Kim Sei Hyun Baik Yongsoo Park Moon Suk Nam Kwan Woo Lee Young Seol Kim Jeong-Taek Woo
author_facet	Morena Ustulin Sang Youl Rhee Suk Chon Kyu Keung Ahn Ji Eun Lim Bermseok Oh Sung-Hoon Kim Sei Hyun Baik Yongsoo Park Moon Suk Nam Kwan Woo Lee Young Seol Kim Jeong-Taek Woo
author_sort	Morena Ustulin
title	Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
title_short	Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
title_full	Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
title_fullStr	Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
title_full_unstemmed	Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
title_sort	importance of family history of diabetes in computing a diabetes risk score in korean prediabetic population
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/e148c4a266e649b9bb82ec7308da4399
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_version_	1718395552393068544

Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population

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