| Item type |
itemtype_ver1(1) |
| 公開日 |
2025-05-27 |
| タイトル |
|
|
タイトル |
Utility of long-term systolic blood pressure variability for predicting the development of type 2 diabetes mellitus |
|
言語 |
en |
| 著者 |
Song, Zean
Li, Yuanying
Hong, Young-Jae
Chiang, Chifa
Matsunaga, Masaaki
He, Yupeng
Ota, Atsuhiko
Tamakoshi, Koji
Yatsuya, Hiroshi
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利 |
|
|
言語 |
en |
|
権利情報Resource |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
権利情報 |
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
diabetes |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
systolic blood pressure variability |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
prediction model |
| 内容記述 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Better identification of individuals at high risk for type 2 diabetes mellitus (T2DM) requires risk-prediction models incorporating novel predictors. Accordingly, this study aimed to evaluate the merits of including long-term systolic blood pressure variability (SBPV) in predicting T2DM incidence in a Japanese cohort of 3017 participants (2446 men, 571 women; age, 36–65 years) in 2007, who were followed up until March 2019. Consecutive SBP values, recorded between 2003 and 2007, were regressed annually for each participant. The slope and root-mean-square error of the regression line were calculated for each individual to represent SBPV. The significance of SBPV was examined by adding it to a multivariate Cox model incorporating age, sex, smoking status, regular exercise, family history of diabetes, body mass index, blood levels of triglycerides, high-density lipoprotein cholesterol, and fasting blood glucose. The c-index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to compare the performance of the prediction models without (Model 1) and with (Model 2) SBPV. During the 9.8-year follow-up period, 135 participants developed T2DM. Although a statistically significant difference in c-index between Model 1 (0.785) and Model 2 (0.786) was not found, the NRI (8.312% [p < 0.001]) and IDI (0.700% [p = 0.012]) demonstrated that the performance of Model 2 improved compared with Model 1. In conclusion, results suggested that long-term SBPV slightly improved predictive utility for T2DM when added to a conventional prediction model. The study was registered at University Hospital Medical Information Network Clinical Trial registry (UMIN000052544, https://www.umin.ac.jp/). |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
Nagoya University Graduate School of Medicine, School of Medicine |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
departmental bulletin paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| ID登録 |
|
|
ID登録 |
10.18999/nagjms.87.2.220 |
|
ID登録タイプ |
JaLC |
| 関連情報 |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
URI |
|
|
関連識別子 |
https://www.med.nagoya-u.ac.jp/medlib/nagoya_j_med_sci/872.html |
| 収録物識別子 |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
0027-7622 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2186-3326 |
| 書誌情報 |
en : Nagoya Journal of Medical Science
巻 87,
号 2,
p. 220-236,
発行日 2025-05
|
04_Song.pdf (514.9 KB)
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