BMI_LDL_eGFR function

BMI_LDL_eGFR

#' 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.

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)

Returns

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

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)

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>