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Prognostic Factors of New-Onset Hypertension in New and Traditional Hypertension Definition in a Large Taiwanese Population Follow-up Study

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Listed:
  • Yi-Hsueh Liu

    (Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
    Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 80708, Taiwan
    Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan)

  • Szu-Chia Chen

    (Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 80708, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Wen-Hsien Lee

    (Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 80708, Taiwan
    Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Ying-Chih Chen

    (Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 80708, Taiwan
    Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan)

  • Po-Chao Hsu

    (Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Wei-Chung Tsai

    (Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Chee-Siong Lee

    (Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Tsung-Hsien Lin

    (Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Chih-Hsing Hung

    (Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Chao-Hung Kuo

    (Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 80708, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Ho-Ming Su

    (Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 80708, Taiwan
    Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
    Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

Abstract

The aim of this study was to determine the predictors of new-onset hypertension when the definition of hypertension is changed from the traditional definition (140/90 mmHg) to a new definition (130/80 mmHg). Using data from the Taiwan Biobank, a total of 17,072 and 21,293 participants in the new and traditional definition groups were analyzed, respectively. During a mean follow-up period of 3.9 years, 3641 and 3002 participants developed hypertension in the new and traditional definition groups, respectively. After multivariable analysis, older age (OR, 1.035; 95% CI, 1.030 to 1.039; p < 0.001), male sex (OR, 1.332; 95% CI, 1.194 to 1.486; p < 0.001), high systolic blood pressure (SBP) (OR, 1.067; 95% CI, 1.062 to 1.073; p < 0.001), high diastolic blood pressure (DBP) (OR, 1.048; 95% CI, 1.040 to 1.056; p < 0.001), high heart rate (OR, 1.007; 95% CI, 1.002 to 1.012; p = 0.004), high body mass index (BMI) (OR, 1.091; 95% CI, 1.077 to 1.106; p < 0.001), high fasting glucose (OR, 1.004; 95% CI, 1.001 to 1.006; p = 0.002), and high triglycerides (OR, 1.001; 95% CI, 1.000 to 1.001; p = 0.004) were significantly associated with new-onset hypertension in the new definition group. In the traditional definition group, the predictors of new-onset hypertension were older age (OR, 1.038; 95% CI, 1.032 to 1.043; p < 0.001), high SBP (OR, 1.078; 95% CI, 1.072 to 1.084; p < 0.001), high DBP (OR, 1.039; 95% CI, 1.031 to 1.046; p < 0.001), high heart rate (OR, 1.005; 95% CI, 1.000 to 1.010; p = 0.032), high BMI (OR, 1.072; 95% CI, 1.058 to 1.087; p < 0.001), high fasting glucose (OR, 1.003; 95% CI, 1.000 to 1.005; p = 0.020), low cholesterol (OR, 0.998; 95% CI, 0.997 to 0.999; p = 0.004), high triglycerides (OR, 1.001; 95% CI, 1.000 to 1.001; p = 0.001), and low estimated glomerular filtration rate (eGFR) (OR, 0.995; 95% CI, 0.993 to 0.997; p < 0.001). In conclusion, older age, high SBP and DBP, high heart rate, high BMI, high fasting glucose, and high triglycerides were useful predictors of new-onset hypertension in both the new and traditional definition groups. However, male sex was a significant predictor of new-onset hypertension only in the new definition group, and low cholesterol and low eGFR were significant predictors of new-onset hypertension only in the traditional definition group. Hence, changing the diagnostic cut-off value for hypertension may have a significant impact on the association of some clinical and laboratory parameters with new-onset hypertension.

Suggested Citation

  • Yi-Hsueh Liu & Szu-Chia Chen & Wen-Hsien Lee & Ying-Chih Chen & Po-Chao Hsu & Wei-Chung Tsai & Chee-Siong Lee & Tsung-Hsien Lin & Chih-Hsing Hung & Chao-Hung Kuo & Ho-Ming Su, 2022. "Prognostic Factors of New-Onset Hypertension in New and Traditional Hypertension Definition in a Large Taiwanese Population Follow-up Study," IJERPH, MDPI, vol. 19(24), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16525-:d:998111
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    References listed on IDEAS

    as
    1. Bum Ju Lee & Jong Yeol Kim, 2014. "A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    2. Mohammad Ziaul Islam Chowdhury & Iffat Naeem & Hude Quan & Alexander A Leung & Khokan C Sikdar & Maeve O’Beirne & Tanvir C Turin, 2022. "Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-30, April.
    3. Dongdong Sun & Jielin Liu & Lei Xiao & Ya Liu & Zuoguang Wang & Chuang Li & Yongxin Jin & Qiong Zhao & Shaojun Wen, 2017. "Recent development of risk-prediction models for incident hypertension: An updated systematic review," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-19, October.
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