Predicting hypertension among Korean cancer survivors: A nationwide population-based study

Y. H. Kim, K. H. Cho, K. H. Kim, E. J. Ryu, K. D. Han, J. S. Kim

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    Abstract

    Hypertension is the most common comorbidity among cancer survivors, although there is no model for predicting hypertension in this population. Therefore, we developed a model for predicting hypertension using data from 6,480 Korean cancer survivors who were ≥20 years old. The odds ratios (ORs) for hypertension were calculated using stepwise logistic regression analyses, and a nomogram was generated to predict hypertension. Hypertension was independently associated with an age of ≥65 years (OR: 3.058), male gender (OR: 1.195), obesity (OR: 1.998), prehypertension (OR: 2.06), dyslipidaemia (OR: 2.011) and diabetes mellitus (OR: 2.297). Each variable in the nomogram was assigned a specific number of points, and the total score (range: 0–400) was used to obtain a value for predicting hypertension. The estimated prevalence of hypertension increased when the total nomogram score exceeded the sixth decile (total points: 128; p for trend <.001). Therefore, among Korean cancer survivors, hypertension was significantly associated with an age of >65 years, male gender, obesity, and having various comorbidities (e.g., prehypertension, dyslipidaemia and diabetes mellitus). Furthermore, our nomogram could predict the incidence of hypertension, and the sixth decile of the total nomogram score predicted an increased risk of hypertension.

    Original languageEnglish
    Article numbere12803
    JournalEuropean Journal of Cancer Care
    Volume27
    Issue number2
    DOIs
    Publication statusPublished - 2018 Mar

    Bibliographical note

    Publisher Copyright:
    © 2018 John Wiley & Sons Ltd

    Keywords

    • Korean National Health Insurance Corporation
    • cancer survivors
    • hypertension
    • nomogram
    • prediction model

    ASJC Scopus subject areas

    • Oncology

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