J-curve relationship between corrected QT interval and mortality in acute heart failure patients

Korean J Intern Med. 2020 Nov;35(6):1371-1384. doi: 10.3904/kjim.2019.030. Epub 2020 May 8.

Abstract

Background/aims: This study investigated the prognostic power of corrected QT (QTc) interval in patients with acute heart failure (AHF) according to sex.

Methods: We analyzed multicenter Korean Acute Heart Failure registry with patients with AHF admitted from 2011 to 2014. Among them, we analyzed 4,990 patients who were followed up to 5 years. Regarding QTc interval based on 12 lead electrocardiogram, patients were classified into quartiles according to sex.

Results: During follow-up with median 43.7 months, 2,243 (44.9%) patients died. The relationship between corrected QT interval and all-cause mortality followed a J-curve relationship. In Kaplan-Meier analysis, both sex had lowest mortality in the second QTc quartile. There were significant prognostic differences between the second and the fourth quartiles in male (log-rank p = 0.002), but not in female (log-rank p = 0.338). After adjusting covariates, the third (hazard ratio [HR], 1.185; 95% confidence interval [CI], 1.001 to 1.404; p = 0.049) and the fourth (HR, 1.404; 95% CI, 1.091 to 1.535; p = 0.003) quartiles demonstrated increased risk of mortality compared to the second quartile in male. In female, however, there was no significant difference across quartiles. QTc interval was associated with 5-year all-cause mortality in J-shape with nadir of 440 to 450 ms in male and 470 to 480 ms in female.

Conclusion: QTc interval was an independent predictor of overall death in male, but its significance decreased in female. The relationship between QTc interval and all-cause mortality was J-shaped in both sex.

Keywords: Heart failure; Mortality; Prognosis; QTc interval; Sex.

Publication types

  • Multicenter Study

MeSH terms

  • Aged
  • Alcohol Drinking*
  • Electrocardiography
  • Female
  • Heart Failure* / diagnosis
  • Heart Rate
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models
  • Risk Factors