Association of Blood Pressure Classification Using the 2017 American College of Cardiology/American Heart Association

Hidehiro Kaneko1,2, Yuichiro Yano3,4, Hidetaka Itoh1

  • 1Department of Cardiovascular Medicine (H. Kaneko, H.I., H. Kiriyama, T.K., K.F., N.T., H.M., I.K.), University of Tokyo, Japan.

Circulation
|April 22, 2021
PubMed

Insights

Stage 1 hypertension significantly increases the risk of heart failure (HF) and atrial fibrillation (AF). Managing elevated blood pressure (BP) is crucial for preventing these cardiovascular conditions.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Heart failure (HF) and atrial fibrillation (AF) prevalence is increasing globally.
  • Limited research exists on the association between stage 1 hypertension and incident HF/AF according to 2017 ACC/AHA guidelines.

Purpose of the Study:

  • To investigate the association between different blood pressure (BP) categories, including stage 1 hypertension, and the incidence of HF and AF.
  • To calculate the population-attributable fractions for HF and AF associated with stage 1 and stage 2 hypertension.

Main Methods:

  • Analysis of a nationwide health claims database (2005-2018) with over 2 million participants.
  • Participants were categorized into normal BP, elevated BP, stage 1 hypertension, and stage 2 hypertension groups.
  • Cox proportional hazards models and population attributable fractions were used to assess associations and potential preventability.

Main Results:

  • Stage 1 hypertension was associated with a 30% increased risk of HF (HR 1.30) and a 21% increased risk of AF (HR 1.21).
  • Stage 2 hypertension showed even higher risks for HF (HR 2.05) and AF (HR 1.52).
  • Stage 1 and stage 2 hypertension accounted for 23.2% and 51.2% of HF cases, respectively, and 17.4% and 34.3% of AF cases, respectively.

Conclusions:

  • Both stage 1 and stage 2 hypertension are linked to increased incidence of HF and AF in the general population.
  • The ACC/AHA BP classification system can aid in identifying individuals at higher risk for HF and AF.
Abstract

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