Multilinear Regression Analysis of Sweat Secretion Volumes in Cystic Fibrosis Patients

Abstract

Personalized medicine approach in cystic fibrosis (CF) is focusing on detection of cystic fibrosis transmembrane conductance regulator (CFTR) function in single patients and standardized outcomes for CFTR function in vivo. We applied Optical Sweat Rate Beta Adrenergic (OSRBA) test for measuring sweat rates in individual human sweat glands. The results were analyzed according to a multilinear regression model in non- CF, healthy carriers (HTZ), CF patients; two groups of these were tested during treatment with CFTR modulators such as lumacaftor/ivacaftor (Orkambi) or PTC 124 (Ataluren). We found that different sets of statistically significant coefficients of the multilinear regression of the volume of sweat secretory glands characterize different CFTR genotype as well as different responses to different pharmacological treatments.

Keywords

• cystic fibrosis
• multilinear regression
• regression diagnostics