compute_qtc: Compute Corrected QT

In Roche-GSK/admiral: ADaM in R Asset Library

Compute Corrected QT

Description

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

Usage

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

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 ⁠%>%⁠.

Value

QT interval in ms

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")

compute_qtc(qt = 350, rr = 857, method = "Fridericia")

compute_qtc(qt = 350, rr = 857, method = "Sagie")

Roche-GSK/admiral documentation built on April 14, 2025, 12:36 p.m.