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Europace. 2013 Dec;15(12):1791-7. doi: 10.1093/europace/eut153. Epub 2013 Jun 19.

QT variability during initial exposure to sotalol: experience based on a large electronic medical record.

Author information

1
Department of Medicine and Clinical Pharmacology, Vanderbilt University, 1285 Medical Research Building IV, Nashville, TN 37232, USA.

Abstract

AIMS:

A prolonged QT interval is associated with increased risk of Torsades de pointes (TdP) and may be fatal. We sought to investigate the extent to which clinical covariates affect the change in QT interval among 'real-world' patients treated with sotalol and followed in an electronic medical record (EMR) system.

METHODS AND RESULTS:

We used clinical alerts in our EMR system to identify all patients in whom a new prescription for sotalol was written (2001-11). Rate-corrected QT (QTc) was calculated by Bazett's formula. Correlates of sotalol-induced change in the QTc interval and sotalol discontinuation were examined using linear and logistic regression, respectively. Overall, 541 sotalol-exposed patients were identified (n = 200 women, 37%). The mean first sotalol dose was 86 ± 39 mg, age 64 ± 13 years, and BMI 30 ± 7 kg/m(2). Atrial fibrillation/flutter was the predominant indication (92.2%). After initial exposure, the change in the QTc interval from baseline was highly variable: ΔQTc after 2 h = 3 ± 42 ms (P = 0.17) and 11 ± 37 ms after ≥48 h (P < 0.001). Multivariable linear regression analysis identified female gender and age, reduced left ventricular ejection fraction, high sotalol dose, hypertrophic cardiomyopathy, and loop diuretic co-administration as correlates of increased ΔQTc at ≥48 h (P < 0.05 for all). Within 3 days of initiation, 12% discontinued sotalol of which 31% were because of exaggerated QTc prolongation. One percent developed TdP.

CONCLUSION:

In this EMR-based cohort, the increase in QTc with sotalol initiation was highly variable, and multiple clinical factors contributed. These data represent an important step in ongoing work to identify real-world patients likely to tolerate long-term therapy and reinforces the utility of EMR-based cohorts as research tools.

KEYWORDS:

Arrhythmia; Atrial fibrillation; Beta-blocker; Electronic medical records; Long QT syndrome; Torsades de pointes

PMID:
23787903
PMCID:
PMC3888125
DOI:
10.1093/europace/eut153
[Indexed for MEDLINE]
Free PMC Article

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