Prediction Models for the 5- and 10-Year Incidence of Home Morning Hypertension: The Ohasama Study

Author:

Satoh Michihiro12ORCID,Metoki Hirohito134,Asayama Kei45,Kikuya Masahiro25,Murakami Takahisa16,Tatsumi Yukako5,Hara Azusa7,Tsubota-Utsugi Megumi8,Hirose Takuo910,Inoue Ryusuke11,Nomura Kyoko12,Hozawa Atsushi2,Imai Yutaka4,Ohkubo Takayoshi45

Affiliation:

1. Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan

2. Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan

3. Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan

4. Tohoku Institute for Management of Blood Pressure, Sendai, Japan

5. Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan

6. Division of Aging and Geriatric Dentistry, Department of Rehabilitation Dentistry, Tohoku University Graduate School of Dentistry, Sendai, Japan

7. Division of Drug Development and Regulatory Science, Graduate School of Pharmaceutical Sciences, Keio University, Tokyo, Japan

8. Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan

9. Department of Endocrinology and Applied Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan

10. Division of Integrative Renal Replacement Therapy, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan

11. Department of Medical Information Technology Center, Tohoku University Hospital, Sendai, Japan

12. Department of Environmental Health Science and Public Health, Akita, Japan

Abstract

Abstract Background We aimed to develop risk prediction models for new-onset home morning hypertension. Methods We followed up 978 participants without home hypertension in the general population of Ohasama, Japan (men: 30.1%, age: 53.3 years). The participants were divided into derivation (n = 489) and validation (n = 489) cohorts by their residential area. The C-statistics and calibration plots were assessed after the 5- or 10-year follow-up. Results In the derivation cohort, sex, age, body mass index, smoking, office systolic blood pressure (SBP), and home SBP at baseline were selected as significant risk factors for new-onset home hypertension (≥135/85 mm Hg or the initiation of antihypertensive treatment) using the Cox model. In the validation cohort, Harrell’s C-statistic for the 5-/10-year home hypertension was 0.7637 (0.7195–0.8100)/0.7308 (0.6932–0.7677), when we used the full model, which included the significant risk factors in the derivation cohort. The calibration test revealed good concordance between the observed and predicted 5-/10-year home hypertension probabilities (P ≥ 0.19); the regression slope of the observed probability on the predicted probability was 1.10/1.02, and the intercept was −0.04/0.06, respectively. A model without home SBP was also developed; for the 10-year home hypertension risk, the calibration test revealed a good concordance (P = 0.19) but Harrell’s C-statistic was 0.6689 (0.6266–0.7067). Conclusions The full model revealed good ability to predict the 5- and 10-year home morning hypertension risk. Although the model without home SBP is acceptable, the low C-statistic implies that home BP should be measured to predict home morning hypertension precisely.

Funder

Grants for Scientific Research, Ministry of Education, Culture, Sports, Science and Technology, Japan

Keio University

Japan Arteriosclerosis Prevention Fund

Ministry of Health, Labour and Welfare

ACRO Incubation Grants of Teikyo University

Pfizer Japan

Chugai Pharmaceutical

Daiichi Sankyo

Astellas Pharma

Takeda Pharmaceutical

Health Care Science Institute Research

Health Science Centre Research Grant

Takeda Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Internal Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3