Prevalence and risk factors of prolonged corrected QT interval in general Chinese population

Qun Ma1, Zhao Li1, Xiaofan Guo1

  • 1Department of Cardiology, the First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.

Insights

The corrected QT (QTc) interval is prolonged in 31.6% of the general Chinese population, increasing with age and linked to cardiovascular disease (CVD). Risk factors include hypertension, diabetes, and certain medications, highlighting the need for community-based CVD risk management.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • The corrected QT (QTc) interval is a marker for cardiac repolarization, with prolonged QTc linked to increased mortality.
  • Limited data exists on QTc prolongation prevalence and risk factors within the general Chinese population.

Purpose of the Study:

  • To determine the prevalence of QTc prolongation in a Chinese population aged over 35.
  • To identify specific risk factors associated with QTc prolongation in this demographic.

Main Methods:

  • A population-based survey of 11,209 individuals in rural Liaoning Province (2012-2013).
  • Electrocardiograms (ECGs) analyzed automatically to measure QTc intervals.
  • Logistic regression used to identify risk factors for QTc prolongation (>440 ms), adjusting for confounders.

Main Results:

  • Overall prevalence of QTc prolongation was 31.6%, rising significantly with age and higher in those with a history of cardiovascular disease (CVD).
  • Independent risk factors identified: older age, abdominal obesity, hypertension, diabetes, hypokalemia, and recent medication use.
  • General obesity, hypocalcemia, and hypomagnesemia were not significantly associated; high physical activity showed a protective effect.

Conclusions:

  • A high prevalence of QTc prolongation exists in the Chinese population, associated with several modifiable risk factors.
  • Findings support improved CVD risk prediction and community-level management strategies.
  • Identification of at-risk individuals can aid in pre-clinical prevention efforts.
Abstract

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