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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Autores principales: 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
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Publicado: Nature Portfolio 2018
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Acceso en línea: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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