Compute Corrected QT

Computes corrected QT using Bazett's, Fridericia's or Sagie's formula.

compute_qtc(qt, rr, method)

Arguments

qt

QT interval

A numeric vector is expected. It is expected that QT is measured in ms or msec.

Default value

none

rr

RR interval

A numeric vector is expected. It is expected that RR is measured in ms or msec.

Default value

none

method

Method used to QT correction

Permitted values

"Bazett", "Fridericia", "Sagie"

Default value

none

Value

QT interval in ms

Details

Depending on the chosen method one of the following formulae is used.

Bazett: $$\frac{QT}{\sqrt{\frac{RR}{1000}}}$$

Fridericia: $$\frac{QT}{\sqrt[3]{\frac{RR}{1000}}}$$

Sagie: $$1000\left(\frac{QT}{1000} + 0.154\left(1 - \frac{RR}{1000}\right)\right)$$

Usually this computation function can not be used with %>%.

See also

derive_param_qtc()

BDS-Findings Functions that returns a vector: compute_bmi(), compute_bsa(), compute_egfr(), compute_framingham(), compute_map(), compute_qual_imputation(), compute_qual_imputation_dec(), compute_rr(), compute_scale(), transform_range()

Examples

compute_qtc(qt = 350, rr = 857, method = "Bazett")
#> [1] 378.0747

compute_qtc(qt = 350, rr = 857, method = "Fridericia")
#> [1] 368.4748

compute_qtc(qt = 350, rr = 857, method = "Sagie")
#> [1] 372.022