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

BMC Research Notes

Takeshi Horii¹  Koichiro Atsuda¹  Junichi Mohri¹  Yasunari Yamashita²  Yoichi Nozaki²  Rina Kitajima²  Kiyoshi Matsubara³  Hajime Matsubara⁴  Gaku Inoue⁴ 

[1] Division of Clinical Pharmacy (Laboratory of Pharmacy Practice and Science I), and Research and Education Center for Clinical Pharmacy, School of Pharmacy, Kitasato University, 1-15-1 Kitasato, Minami Ward, 252-0375, Sagamihara, Kanagawa, Japan;Department of Pharmacy, Kitasato University Hospital, 1-15-1 Kitasato, Minami Ward, 252-0375, Sagamihara, Kanagawa, Japan;Division of Clinical Pharmacy (Laboratory of Pharmacy Practice and Science III), and Research and Education Center for Clinical Pharmacy, School of Pharmacy, Kitasato University, 9-1, Shirokane 5-Chome, Minato-ku, 108-8641, Tokyo, Japan;Division of Clinical Pharmacy (Laboratory of Pharmacy Practice and Science III), and Research and Education Center for Clinical Pharmacy, School of Pharmacy, Kitasato University, 9-1, Shirokane 5-Chome, Minato-ku, 108-8641, Tokyo, Japan;AdvanceSoft Corporation, 4-3, Kandasurugadai, Chiyoda-ku, 101-0062, Tokyo, Japan;Division of Clinical Pharmacy (Laboratory of Pharmacy Practice and Science III), and Research and Education Center for Clinical Pharmacy, School of Pharmacy, Kitasato University, 9-1, Shirokane 5-Chome, Minato-ku, 108-8641, Tokyo, Japan;Department of Pharmacy, Kitasato University Kitasato Institute Hospital, 9-1, Shirokane 5-Chome, Minato-ku, 108-8641, Tokyo, Japan;

关键词: JJ risk engine;    Type 2 diabetes;    Coronary heart disease;    Discrimination;    Calibration;    Hypoglycemia;    C-statistic;    Box plot;    Outlier;   

DOI  :  10.1186/s13104-021-05844-w

来源: Springer

【 摘 要 】

ObjectiveIn 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.ResultsBy 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.

【 授权许可】

CC BY