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

Y-H KimK-H ChoK H KimEunjung RyuK D HanJi-Su Kim
Published in: European journal of cancer care (2018)
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.
Keyphrases
  • blood pressure
  • young adults
  • lymph node metastasis
  • risk factors
  • mental health
  • squamous cell carcinoma
  • insulin resistance
  • big data
  • artificial intelligence