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January 11, 2016Journal of Pharmacy & Pharmaceutical SciencesOpen Access

QT Correction: Using an Observed Regression Factor Applicable to a Population Subset

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Key result

Population-specific QT correction using a power function successfully renders QTc independent of heart rate.

  • n=211

Population

Two small population subsets separated by age and out- or in-patient status (used for illustration)

Design

Other

Authors

COCharles OoImmunomedics (United States)SKSuraj S. KalbagNautilus (United States)

Discussion

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Implication

Individual QTc formulas may better fit patient factors; leaves open validation before clinical adoption.

Structured PICO

P
Population
211 patients, comprising 106 young out-patients and 105 older in-patients, used to illustrate a population-specific QT correction method.
I
Intervention
Power function [QTc = QT/{(RR)a}] using a population-specific regression factor 'a'

Proposes a population-specific regression factor for QT correction as a practical alternative to individualized or generalized QTc formulas.

Limitations

  • Small illustrative sample size
  • Confounding factors not fully addressed
  • No systematic comparison conducted
  • Additional studies necessary for further evaluation
  • small illustrative sample size
  • confounding factors

Cite This Study

Oo et al. (2016) studied QT interval prolongation (n=211). Population-specific observed regression factor for QT correction vs. Standard empirical formulas (Bazett's, Fridericia's, Framingham's) was evaluated on Independence of QTc from heart rate. A population-specific QT correction using an observed regression factor in a power function successfully rendered QTc independent of heart rate for distinct patient subsets.

synapsesocial.com/papers/6aa20a581200e6cee580cfd1https://doi.org/10.18433/j39g77
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Measurement of the QT Interval2014 · 336 citations
  2. 2Performance Characteristics for Some Typical QT Study Designs Under the ICH E‐14 Guidance2008 · 44 citations
  3. 3Relation between QT and RR intervals is highly individual among healthy subjects: implications for heart rate correction of the QT interval2002 · 442 citations
  4. 4Comparison of different QT interval correction methods for heart rate and QT beat‐to‐beat method in a thorough QT study of triple monoamine reuptake inhibitor BMS‐8208362015 · 4 citations
  5. 5Prevalence and determinants of QT interval prolongation in medical inpatients2011 · 60 citations