compute_qtc {admiral} | R Documentation |

## 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 msec. |

`rr` |
RR interval A numeric vector is expected. It is expected that RR is measured in msec. |

`method` |
Method used to QT correction Permitted Values: |

### 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 msec

### See Also

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()`

### Examples

```
compute_qtc(qt = 350, rr = 56.54, method = "Bazett")
compute_qtc(qt = 350, rr = 56.54, method = "Fridericia")
compute_qtc(qt = 350, rr = 56.54, method = "Sagie")
```

*admiral*version 1.1.1 Index]