• Media type: E-Article
  • Title: Which QT Correction Formulae to Use for QT Monitoring?
  • Contributor: Vandenberk, Bert; Vandael, Eline; Robyns, Tomas; Vandenberghe, Joris; Garweg, Christophe; Foulon, Veerle; Ector, Joris; Willems, Rik
  • imprint: Ovid Technologies (Wolters Kluwer Health), 2016
  • Published in: Journal of the American Heart Association
  • Language: English
  • DOI: 10.1161/jaha.116.003264
  • ISSN: 2047-9980
  • Origination:
  • Footnote:
  • Description: <jats:sec xml:lang="en"> <jats:title>Background</jats:title> <jats:p xml:lang="en"> Drug safety precautions recommend monitoring of the corrected <jats:styled-content style="fixed-case">QT</jats:styled-content> interval. To determine which <jats:styled-content style="fixed-case">QT</jats:styled-content> correction formula to use in an automated <jats:styled-content style="fixed-case">QT</jats:styled-content> ‐monitoring algorithm in our electronic medical record, we studied rate correction performance of different <jats:styled-content style="fixed-case">QT</jats:styled-content> correction formulae and their impact on risk assessment for mortality. </jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Methods and Results</jats:title> <jats:p xml:lang="en"> All electrocardiograms ( <jats:styled-content style="fixed-case">ECG</jats:styled-content> s) in patients &gt;18 years with sinus rhythm, normal <jats:styled-content style="fixed-case">QRS</jats:styled-content> duration and rate &lt;90 beats per minute (bpm) in the University Hospitals of Leuven (Leuven, Belgium) during a 2‐month period were included. <jats:styled-content style="fixed-case">QT</jats:styled-content> correction was performed with Bazett, Fridericia, Framingham, Hodges, and Rautaharju formulae. In total, 6609 patients were included (age, 59.8±16.2 years; 53.6% male and heart rate 68.8±10.6 bpm). Optimal rate correction was observed using Fridericia and Framingham; Bazett performed worst. A healthy subset showed 99% upper limits of normal for Bazett above current clinical standards: men 472 ms (95% <jats:styled-content style="fixed-case">CI</jats:styled-content> , 464–478 ms) and women 482 ms (95% <jats:styled-content style="fixed-case">CI</jats:styled-content> 474–490 ms). Multivariate Cox regression, including age, heart rate, and prolonged <jats:styled-content style="fixed-case">QT</jats:styled-content> c, identified Framingham (hazard ratio [ <jats:styled-content style="fixed-case">HR</jats:styled-content> ], 7.31; 95% <jats:styled-content style="fixed-case">CI</jats:styled-content> , 4.10–13.05) and Fridericia ( <jats:styled-content style="fixed-case">HR</jats:styled-content> , 5.95; 95% <jats:styled-content style="fixed-case">CI</jats:styled-content> , 3.34–10.60) as significantly better predictors of 30‐day all‐cause mortality than Bazett ( <jats:styled-content style="fixed-case">HR</jats:styled-content> , 4.49; 95% <jats:styled-content style="fixed-case">CI</jats:styled-content> , 2.31–8.74). In a point‐prevalence study with haloperidol, the number of patients classified to be at risk for possibly harmful <jats:styled-content style="fixed-case">QT</jats:styled-content> prolongation could be reduced by 50% using optimal <jats:styled-content style="fixed-case">QT</jats:styled-content> rate correction. </jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Conclusions</jats:title> <jats:p xml:lang="en"> Fridericia and Framingham correction formulae showed the best rate correction and significantly improved prediction of 30‐day and 1‐year mortality. With current clinical standards, Bazett overestimated the number of patients with potential dangerous <jats:styled-content style="fixed-case">QT</jats:styled-content> c prolongation, which could lead to unnecessary safety measurements as withholding the patient of first‐choice medication. </jats:p> </jats:sec>
  • Access State: Open Access