pred_GLIdiff: Calculate predicted values of diffusing capacity using GLI...

In thlytras/rspiro: Implementation of Spirometry Equations

Calculate predicted values of diffusing capacity using GLI (2017) equations

Description

This function calculates the mean normal (predicted) values for TLCO (transfer factor of the lung for carbon monoxide), KCO (transfer coefficient of the lung for carbon monoxide) and VA (alveolar volume) using the GLI (2017) equations. It accepts as input age, height and gender.

Usage

pred_GLIdiff(age, height, gender = 1, param = "TLCO", SI = TRUE)

Arguments

age	Age in years
height	Height in meters
gender	Gender (1 = male, 2 = female) or a factor with two levels (first = male). Default is 1.
param	A character vector, containing one of more of the following parameters (case insensitive): "TLCO", "KCO" or "VA"
SI	(default TRUE) Use SI (mmol/min/kPa) or traditional (ml/min/mmHg) units?

Details

Arguments age, height and gender are vectors of equal length, or of length one, in which case the value is recycled; if the four vectors are not of equal length, the function stops with an error.

Value

If param has length one, the function returns a numeric vector. If param has length >1, it returns a data.frame with length(param) columns.

Examples

# Find predicted TLCO and VA for women aged 20 to 70 and with a height of 1.70 meters.
pred_GLIdiff(20:70, 1.7, 2, param=c("TLCO","VA"))

thlytras/rspiro documentation built on June 24, 2024, 7:58 a.m.