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Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: results from the Duke Databank for Cardiovascular Disease (DDCD).

Publication ,  Journal Article
Williams, ES; Thomas, KL; Broderick, S; Shaw, LK; Velazquez, EJ; Al-Khatib, SM; Daubert, JP
Published in: Am Heart J
September 2012

BACKGROUND: In several studies, prolongation of the corrected QT (QTc) interval has been associated with an increased risk of cardiac events. However, data on race and gender variation in the QTc and its associated risk of death are lacking. METHODS: We prospectively followed 19,252 subjects who underwent cardiac catheterization and had at least 1 native coronary artery stenosis ≥75%. Automated QTc measurements were obtained from a baseline electrocardiogram. RESULTS: The mean age of the population was 62.4 years, with 35% being female and 20% being black. The QTc varied by gender and race (417.9 ± 34.4 ms in men and 433.4 ± 33.6 ms in women, 422.1 ± 34.3 ms in whites and 428.1 ± 36.9 ms in blacks; P < .0001 for both). Risk factors most strongly associated with a prolonged QTc were lower ejection fraction, higher diastolic blood pressure, history of myocardial infarction, and lower glomerular filtration rate. Black race and female gender were also independently associated with a prolonged QTc, after adjustment for cardiac risk factors. Moreover, there was an independent association between QTc and all-cause mortality (hazard ratio 1.037 per 10-ms increase, P < .0001). The increased mortality risk associated with a 10-ms increase in the QTc interval was significantly greater for men compared with women (4.6% vs 2.4%, P = .004) and slightly greater for blacks compared with other races (5.0% vs 3.3%, P = .057). CONCLUSIONS: Among patients with coronary artery disease, QTc prolongation is independently associated with all-cause mortality. The increased mortality risk is higher for men than for women, with a trend toward higher mortality in blacks.

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Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

September 2012

Volume

164

Issue

3

Start / End Page

434 / 441

Location

United States

Related Subject Headings

  • Sex Factors
  • Risk Factors
  • Racial Groups
  • Prospective Studies
  • Proportional Hazards Models
  • Prevalence
  • Middle Aged
  • Male
  • Long QT Syndrome
  • Kaplan-Meier Estimate
 

Citation

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Williams, E. S., Thomas, K. L., Broderick, S., Shaw, L. K., Velazquez, E. J., Al-Khatib, S. M., & Daubert, J. P. (2012). Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: results from the Duke Databank for Cardiovascular Disease (DDCD). Am Heart J, 164(3), 434–441. https://doi.org/10.1016/j.ahj.2012.05.024
Williams, Eric S., Kevin L. Thomas, Samuel Broderick, Linda K. Shaw, Eric J. Velazquez, Sana M. Al-Khatib, and James P. Daubert. “Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: results from the Duke Databank for Cardiovascular Disease (DDCD).Am Heart J 164, no. 3 (September 2012): 434–41. https://doi.org/10.1016/j.ahj.2012.05.024.
Williams, Eric S., et al. “Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: results from the Duke Databank for Cardiovascular Disease (DDCD).Am Heart J, vol. 164, no. 3, Sept. 2012, pp. 434–41. Pubmed, doi:10.1016/j.ahj.2012.05.024.
Williams ES, Thomas KL, Broderick S, Shaw LK, Velazquez EJ, Al-Khatib SM, Daubert JP. Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: results from the Duke Databank for Cardiovascular Disease (DDCD). Am Heart J. 2012 Sep;164(3):434–441.
Journal cover image

Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

September 2012

Volume

164

Issue

3

Start / End Page

434 / 441

Location

United States

Related Subject Headings

  • Sex Factors
  • Risk Factors
  • Racial Groups
  • Prospective Studies
  • Proportional Hazards Models
  • Prevalence
  • Middle Aged
  • Male
  • Long QT Syndrome
  • Kaplan-Meier Estimate