Association Between CHADS2 Score and the Development of Interatrial Block

Int Heart J. 2018 Nov 28;59(6):1261-1265. doi: 10.1536/ihj.17-616. Epub 2018 Oct 25.

Abstract

Interatrial block (IAB) is associated with a multitude of medical conditions. The aim of this retrospective study was to investigate whether CHADS2 (congestive heart failure, hypertension, age ≥ 75 years, diabetes mellitus, prior stroke) score is positively associated with the development of IAB. A total of 1072 patients (men, 555; women, 517; mean age, 61 ± 14 years) were included in the study. P-wave duration was measured manually using a caliper. IAB was defined as a P-wave duration of ≥ 120 ms on a 12-lead electrocardiogram. CHADS2 scores were calculated retrospectively. Among the 1072 patients, the prevalence of IAB was 36.1% (387/1072). In multivariate analysis, increased CHADS2 score (odds ratio [OR], 1.810; 95% confidence interval [CI], 1.577-2.077; P < 0.001), coronary artery disease (OR, 1.536; 95% CI, 1.065-2.216; P = 0.022), and increased left atrial diameter (OR, 1.039; 95% CI, 1.008-1.071; P = 0.013) were independently associated with IAB. The percentages of patients with IAB among those with a CHADS2 score of 0, 1, 2, 3, 4, 5, and 6 were 20.6%, 33.0%, 45.0%, 55.9%, 61.9%, 77.8%, and 100%, respectively (P < 0.001). There was a greater percentage of patients with a CHADS2 score of ≥ 2 with IAB compared with a CHADS2 score of < 2 (26.5% vsrsus 52.0%; P < 0.001). In receiver operating curve (ROC) analysis, CHADS2 score (area under the curve, 0.670; 95% CI, 0.636-0.704; P < 0.001) was predictive of IAB. In conclusion, CHADS2 score was significantly associated with the development of IAB in this study population.

Keywords: P-wave duration.

MeSH terms

  • Adult
  • Aged
  • Cross-Sectional Studies
  • Decision Support Techniques*
  • Female
  • Humans
  • Interatrial Block / diagnosis*
  • Interatrial Block / etiology
  • Logistic Models
  • Male
  • Middle Aged
  • Odds Ratio
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • Severity of Illness Index*