Table 3 Determination of the best qt correction formula based on previously published equations
From: The best QT correction formula in a non-hospitalized population: the Fasa PERSIAN cohort study
QT correction model | Description | QT correction formula | R2 | |
|---|---|---|---|---|
Similar to Framingham Heart study [37] | Linear regression model | QTc1 = QT + 0.155 * RR − 0.009 * Gender | 0.347 | |
Similar to Hodges study [38] | Linear regression model | QTc2 = QT + 0.176 * RR | 0.343 | |
Similar to Spence et al. [39] | Linear regression model after logarithmic transformation | Female | QTc3 = QT/RR**0.365 | 0.346 |
|  |  | Male | QTc3 = QT/RR**0.333 | 0.376 |
Similar to Wernicke et al. [40] | Finding zero correlation between QTc and RR | QTc4 = QT/RR**0.316 | – | |