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High -density lipoprotein cholesterol as a predictor for diabetes mellitus

BACKGROUND: Diabetes is a prevalent chronic disease around the world. To evaluate the risk of diabetes comprehensively, we developed a score model for risk prediction with HDL-C as a protective factor. METHODS: We extracted physical examination data of 2728 individuals. The data contain 18 demograph...

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Autores principales: Wu, Hong, Ouyang, Peng, Sun, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Babol University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5912222/
https://www.ncbi.nlm.nih.gov/pubmed/29732032
http://dx.doi.org/10.22088/cjim.9.2.144
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author Wu, Hong
Ouyang, Peng
Sun, Wenjun
author_facet Wu, Hong
Ouyang, Peng
Sun, Wenjun
author_sort Wu, Hong
collection PubMed
description BACKGROUND: Diabetes is a prevalent chronic disease around the world. To evaluate the risk of diabetes comprehensively, we developed a score model for risk prediction with HDL-C as a protective factor. METHODS: We extracted physical examination data of 2728 individuals. The data contain 18 demographic and clinical variables. To identify the statistical significant feature variables, the backward stepwise logistic regression was used based on the data of the “exploratory population”. To ascertain the cutoff value of the selected variables, we used the Youden index. Then we assigned each variable level a score according to the estimated regression model coefficients and then calculated the individual’s total score. We gained the cutoff value for the total score through the Youden Index and stratified the total score into four levels. We employed the data of “validation population” to test the performance of the score model based on the area under the ROC curve. RESULTS: Age, LDL-C, HDL-C, BMI, family history of diabetes, diastolic blood pressure and TCHO were selected as statistically significant variables. The diabetes risk score range varied from 0 to 17. The risk level categorized by the total score was low, middle, high and extremely high, with a score range of 0-2, 3-7, 8-12 and 13-17, respectively. CONCLUSIONS: The score model based on physical examination data is an efficient and valuable tool to evaluate and monitor the potential diabetes risk for both healthy and unhealthy people at an individual level.
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spelling pubmed-59122222018-05-04 High -density lipoprotein cholesterol as a predictor for diabetes mellitus Wu, Hong Ouyang, Peng Sun, Wenjun Caspian J Intern Med Original Article BACKGROUND: Diabetes is a prevalent chronic disease around the world. To evaluate the risk of diabetes comprehensively, we developed a score model for risk prediction with HDL-C as a protective factor. METHODS: We extracted physical examination data of 2728 individuals. The data contain 18 demographic and clinical variables. To identify the statistical significant feature variables, the backward stepwise logistic regression was used based on the data of the “exploratory population”. To ascertain the cutoff value of the selected variables, we used the Youden index. Then we assigned each variable level a score according to the estimated regression model coefficients and then calculated the individual’s total score. We gained the cutoff value for the total score through the Youden Index and stratified the total score into four levels. We employed the data of “validation population” to test the performance of the score model based on the area under the ROC curve. RESULTS: Age, LDL-C, HDL-C, BMI, family history of diabetes, diastolic blood pressure and TCHO were selected as statistically significant variables. The diabetes risk score range varied from 0 to 17. The risk level categorized by the total score was low, middle, high and extremely high, with a score range of 0-2, 3-7, 8-12 and 13-17, respectively. CONCLUSIONS: The score model based on physical examination data is an efficient and valuable tool to evaluate and monitor the potential diabetes risk for both healthy and unhealthy people at an individual level. Babol University of Medical Sciences 2018 /pmc/articles/PMC5912222/ /pubmed/29732032 http://dx.doi.org/10.22088/cjim.9.2.144 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Wu, Hong
Ouyang, Peng
Sun, Wenjun
High -density lipoprotein cholesterol as a predictor for diabetes mellitus
title High -density lipoprotein cholesterol as a predictor for diabetes mellitus
title_full High -density lipoprotein cholesterol as a predictor for diabetes mellitus
title_fullStr High -density lipoprotein cholesterol as a predictor for diabetes mellitus
title_full_unstemmed High -density lipoprotein cholesterol as a predictor for diabetes mellitus
title_short High -density lipoprotein cholesterol as a predictor for diabetes mellitus
title_sort high -density lipoprotein cholesterol as a predictor for diabetes mellitus
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5912222/
https://www.ncbi.nlm.nih.gov/pubmed/29732032
http://dx.doi.org/10.22088/cjim.9.2.144
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