Literature DB >> 26131336

Nomenclature, categorization and usage of formulae to adjust QT interval for heart rate.

Simon W Rabkin1, Xin Bo Cheng1.   

Abstract

Assessment of the QT interval on a standard 12 lead electrocardiogram is of value in the recognition of a number of conditions. A critical part of its use is the adjustment for the effect of heart rate on QT interval. A systematic search was conducted to identify studies that proposed formulae to standardize the QT interval by heart rate. A nomenclature was developed for current and subsequent equations based on whether they are corrective (QTc) or predictive (QTp). QTc formulae attempt to separate the dependence of the length of the QT interval from the length of the RR interval. QTp formulae utilize heart rate and the output QTp is compared to the uncorrected QT interval. The nomenclature consists of the first letter of the first author's name followed by the next two consonance (whenever possible) in capital letters; with subscripts in lower case alphabetical letter if the first author develops more than one equation. The single exception was the Framingham equation, because this cohort has developed its own "name" amongst cardiovascular studies. Equations were further categorized according to whether they were linear, rational, exponential, logarithmic, or power based. Data show that a person's QT interval adjusted for heart rate can vary dramatically with the different QTc and QTp formulae depending on the person's heart rate and QT interval. The differences in the QT interval adjustment equations encompasses values that are considered normal or significant prolonged. To further compare the equations, we considered that the slope of QTc versus heart rate should be zero if there was no correlation between QT and heart rate. Reviewing a sample of 107 patient ECGs from a hospital setting, the rank order of the slope - from best (closest to zero) to worst was QTcDMT, QTcRTHa, QTcHDG, QTcGOT, QTcFRM, QTcFRD, QTcBZT and QTcMYD. For two recent formulae based on large data sets specifically QTcDMT and QTcRTHa, there was no significant deviation of the slope from zero. In summary a nomenclature permits easy reference to QT formulae that adjust for heart rate. Twenty different formulae can produce discordant calculations of an adjusted QT interval. While the formulae developed by Bazett and Fridericia (QTcBZT and QTcFRD respectively) may continue to be used clinically, recent formulae from large population studies specifically QTcDMT and QTcRTHa appear to be better to adjust QT for heart rate in clinical practice.

Entities:  

Keywords:  Heart rate adjustment; QT interval

Year:  2015        PMID: 26131336      PMCID: PMC4478566          DOI: 10.4330/wjc.v7.i6.315

Source DB:  PubMed          Journal:  World J Cardiol


  33 in total

1.  "Optimum" formulae for heart rate correction of the QT interval.

Authors:  K Hnatkova; M Malik
Journal:  Pacing Clin Electrophysiol       Date:  1999-11       Impact factor: 1.976

2.  The normal Q-T interval.

Authors:  E SIMONSON; L D CADY; M WOODBURY
Journal:  Am Heart J       Date:  1962-06       Impact factor: 4.749

3.  Bazett and Fridericia QT correction formulas interfere with measurement of drug-induced changes in QT interval.

Authors:  Julia H Indik; Ellen C Pearson; Karen Fried; Raymond L Woosley
Journal:  Heart Rhythm       Date:  2006-06-15       Impact factor: 6.343

4.  Estimation of the upper limit of the reference value of the QT interval in rest electrocardiograms in healthy young Japanese men using the bootstrap method.

Authors:  Hiroshi Goto; Noritaka Mamorita; Noriaki Ikeda; Hideo Miyahara
Journal:  J Electrocardiol       Date:  2008 Nov-Dec       Impact factor: 1.438

5.  QT-RR relationship in healthy subjects exhibits substantial intersubject variability and high intrasubject stability.

Authors:  Velislav N Batchvarov; Azad Ghuran; Peter Smetana; Katerina Hnatkova; Monica Harries; Polychronis Dilaveris; A John Camm; Marek Malik
Journal:  Am J Physiol Heart Circ Physiol       Date:  2002-06       Impact factor: 4.733

6.  Applicability of correcting the QT interval for heart rate.

Authors:  C V Manion; T L Whitsett; M F Wilson
Journal:  Am Heart J       Date:  1980-05       Impact factor: 4.749

7.  An improved method for adjusting the QT interval for heart rate (the Framingham Heart Study)

Authors:  A Sagie; M G Larson; R J Goldberg; J R Bengtson; D Levy
Journal:  Am J Cardiol       Date:  1992-09-15       Impact factor: 2.778

8.  New age- and sex-specific criteria for QT prolongation based on rate correction formulas that minimize bias at the upper normal limits.

Authors:  Pentti M Rautaharju; Jay W Mason; Toshio Akiyama
Journal:  Int J Cardiol       Date:  2014-04-21       Impact factor: 4.164

9.  Normal values for QT intervals in ECG during ramp exercise on bicycle.

Authors:  B Wohlfart; O Pahlm
Journal:  Clin Physiol       Date:  1994-07

10.  Linearly scaled, rate-invariant normal limits for QT interval: eight decades of incorrect application of power functions.

Authors:  Pentti M Rautaharju; Zhu-Ming Zhang
Journal:  J Cardiovasc Electrophysiol       Date:  2002-12
View more
  10 in total

1.  Detailed analysis of the impact of age on the QT interval.

Authors:  Simon W Rabkin; Xin-Bo Justin Cheng; Darby Js Thompson
Journal:  J Geriatr Cardiol       Date:  2016-09       Impact factor: 3.327

2.  Value of the New Spline QTc Formula in Adjusting for Pacing-Induced Changes in Heart Rate.

Authors:  Hirmand Nouraei; Matthew Bennett; Simon Rabkin
Journal:  Cardiol Res Pract       Date:  2018-04-01       Impact factor: 1.866

3.  A Retrospective Analysis of Hospital Electrocardiogram Auto-Populated QT Interval Calculation.

Authors:  Adam L Rosenblum; Ariana C Dremonas; Scott C Stockholm; Nicholas L Biondi
Journal:  Cureus       Date:  2020-07-21

4.  The best QT correction formula in a non-hospitalized population: the Fasa PERSIAN cohort study.

Authors:  Mohammad Hosein Yazdanpanah; Mohammad Mehdi Naghizadeh; Sepideh Sayyadipoor; Mojtaba Farjam
Journal:  BMC Cardiovasc Disord       Date:  2022-02-16       Impact factor: 2.298

5.  Effects of atypical antipsychotic drugs on QT interval in patients with mental disorders.

Authors:  Wilbert S Aronow; Tatyana A Shamliyan
Journal:  Ann Transl Med       Date:  2018-04

6.  Influence of heart rate correction formulas on QTc interval stability.

Authors:  Irena Andršová; Katerina Hnatkova; Martina Šišáková; Ondřej Toman; Peter Smetana; Katharina M Huster; Petra Barthel; Tomáš Novotný; Georg Schmidt; Marek Malik
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.996

7.  Criteria for short QT interval based on a new QT-heart rate adjustment formula.

Authors:  Simon W Rabkin
Journal:  J Arrhythm       Date:  2017-05-06

8.  Association of QT interval with mortality by kidney function: results from the National Health and Nutrition Examination Survey (NHANES).

Authors:  Rehan Malik; Sehrish Waheed; Deepak Parashara; Jorge Perez; Salman Waheed
Journal:  Open Heart       Date:  2017-10-21

9.  The QT Interval Dynamic in a Human Experimental Model of Controlled Heart Rate and QRS Widening.

Authors:  Santiago Colunga; Remigio Padrón; Daniel García-Iglesias; José Manuel Rubín; Diego Pérez; Raquel Del Valle; Pablo Avanzas; César Morís; David Calvo
Journal:  J Clin Med       Date:  2019-09-09       Impact factor: 4.241

Review 10.  Effects of antidepressants on QT interval in people with mental disorders.

Authors:  Wilbert S Aronow; Tatyana A Shamliyan
Journal:  Arch Med Sci       Date:  2020-05-29       Impact factor: 3.318

  10 in total

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