Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan

Abstract Objective In the diabetes treatment policy after the Kumamoto Declaration 2013, it is difficult to accurately predict the incidence of complications in patients using the JJ risk engine. This study was conducted to develop a prediction equation suitable for the current diabetes treatment po...

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Autores principales:	Yasunari Yamashita, Gaku Inoue, Yoichi Nozaki, Rina Kitajima, Kiyoshi Matsubara, Takeshi Horii, Junichi Mohri, Koichiro Atsuda, Hajime Matsubara
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	JJ risk engine Type 2 diabetes Coronary heart disease Discrimination Calibration Hypoglycemia Medicine R Biology (General) QH301-705.5 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/61b1872f126e424088b10679d51a780c
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spelling	oai:doaj.org-article:61b1872f126e424088b10679d51a780c2021-11-28T12:25:00ZDevelopment and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan10.1186/s13104-021-05844-w1756-0500https://doaj.org/article/61b1872f126e424088b10679d51a780c2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13104-021-05844-whttps://doaj.org/toc/1756-0500Abstract Objective In the diabetes treatment policy after the Kumamoto Declaration 2013, it is difficult to accurately predict the incidence of complications in patients using the JJ risk engine. This study was conducted to develop a prediction equation suitable for the current diabetes treatment policy using patient data from Kitasato University Kitasato Institute Hospital (Hospital A) and to externally validate the developed equation using patient data from Kitasato University Hospital (Hospital B). Outlier tests were performed on the patient data from Hospital A to exclude the outliers. Prediction equation was developed using the patient data excluding the outliers and was subjected to external validation. Results By excluding outlier data, we could develop a new prediction equation for the incidence of coronary heart disease (CHD) as a complication of type 2 diabetes, incorporating the use of antidiabetic drugs with a high risk of hypoglycemia. This is the first prediction equation in Japan that incorporates the use of antidiabetic drugs. We believe that it will be useful in preventive medicine for treatment for people at high risk of CHD as a complication of diabetes or other diseases. In the future, we would like to confirm the accuracy of this equation at other facilities.Yasunari YamashitaGaku InoueYoichi NozakiRina KitajimaKiyoshi MatsubaraTakeshi HoriiJunichi MohriKoichiro AtsudaHajime MatsubaraBMCarticleJJ risk engineType 2 diabetesCoronary heart diseaseDiscriminationCalibrationHypoglycemiaMedicineRBiology (General)QH301-705.5Science (General)Q1-390ENBMC Research Notes, Vol 14, Iss 1, Pp 1-6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	JJ risk engine Type 2 diabetes Coronary heart disease Discrimination Calibration Hypoglycemia Medicine R Biology (General) QH301-705.5 Science (General) Q1-390
spellingShingle	JJ risk engine Type 2 diabetes Coronary heart disease Discrimination Calibration Hypoglycemia Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 Yasunari Yamashita Gaku Inoue Yoichi Nozaki Rina Kitajima Kiyoshi Matsubara Takeshi Horii Junichi Mohri Koichiro Atsuda Hajime Matsubara Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan
description	Abstract Objective In the diabetes treatment policy after the Kumamoto Declaration 2013, it is difficult to accurately predict the incidence of complications in patients using the JJ risk engine. This study was conducted to develop a prediction equation suitable for the current diabetes treatment policy using patient data from Kitasato University Kitasato Institute Hospital (Hospital A) and to externally validate the developed equation using patient data from Kitasato University Hospital (Hospital B). Outlier tests were performed on the patient data from Hospital A to exclude the outliers. Prediction equation was developed using the patient data excluding the outliers and was subjected to external validation. Results By excluding outlier data, we could develop a new prediction equation for the incidence of coronary heart disease (CHD) as a complication of type 2 diabetes, incorporating the use of antidiabetic drugs with a high risk of hypoglycemia. This is the first prediction equation in Japan that incorporates the use of antidiabetic drugs. We believe that it will be useful in preventive medicine for treatment for people at high risk of CHD as a complication of diabetes or other diseases. In the future, we would like to confirm the accuracy of this equation at other facilities.
format	article
author	Yasunari Yamashita Gaku Inoue Yoichi Nozaki Rina Kitajima Kiyoshi Matsubara Takeshi Horii Junichi Mohri Koichiro Atsuda Hajime Matsubara
author_facet	Yasunari Yamashita Gaku Inoue Yoichi Nozaki Rina Kitajima Kiyoshi Matsubara Takeshi Horii Junichi Mohri Koichiro Atsuda Hajime Matsubara
author_sort	Yasunari Yamashita
title	Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan
title_short	Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan
title_full	Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan
title_fullStr	Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan
title_full_unstemmed	Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan
title_sort	development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in japan
publisher	BMC
publishDate	2021
url	https://doaj.org/article/61b1872f126e424088b10679d51a780c
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Development and validation of an equation to predict the incidence of coronary heart disease in patients with type 2 diabetes in Japan

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