BMI_LDL_eGFR {MiMIR}

BMI_LDL_eGFR

Description

#' Function created to calculate: 1) BMI using height and weight; 2) LDL cholesterol using HDL cholesterol, triglycerides, totchol; 3) eGFR creatinine levels, sex and age.

Usage

BMI_LDL_eGFR(phenotypes, metabo_measures)

Arguments

phenotypes

data.frame containing height and weight, HDL cholesterol, triglycerides, totchol, sex and age

metabo_measures

numeric data-frame with Nightingale metabolomics quantifications containing creatinine levels (crea)

Value

phenotypes data.frame with the addition of BMI, LDL cholesterol and eGFR

References

This function is constructed to calculate BMI, LDL cholesterol and eGFR as in the following papers:

BMI: Flint AJ, Rexrode KM, Hu FB, Glynn RJ, Caspard H, Manson JE et al. Body mass index, waist circumference, and risk of coronary heart disease: a prospective study among men and women. Obes Res Clin Pract 2010; 4: e171-e181, doi:10.1016/j.orcp.2010.01.001

LDL-cholesterol: Friedewald WT, Levy RI, Fredrickson DS. Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, Without Use of the Preparative Ultracentrifuge. Clin Chem 1972; 18: 499-502, <doi.org/10.1093/clinchem/18.6.499>

eGFR: Carrero Juan Jesus, Andersson Franko Mikael, Obergfell Achim, Gabrielsen Anders, Jernberg Tomas. hsCRP Level and the Risk of Death or Recurrent Cardiovascular Events in Patients With Myocardial Infarction: a Healthcare-Based Study. J Am Heart Assoc 2019; 8: e012638, <doi: 10.1161/JAHA.119.012638>

Examples

library(MiMIR)

#load the dataset
metabolic_measures <- synthetic_metabolic_dataset
phenotypes <- synthetic_phenotypic_dataset
#Calculate BMI, LDL cholesterol and eGFR
phenotypes<-BMI_LDL_eGFR(phenotypes, metabolic_measures)