Electronic nose Sensor Drift affects Diagnostic Reliability and Accuracy of disease specific Algorithms

Fecal samples of 63 IBD patients and 63 controls were measured on four subsequent days. Sensor data displayed associations with date of measurement, which was reproducible across all samples irrespective of disease state, disease activity state, disease localization and diet of participants. Based on logistic regression, correction for sensor drift improved accuracy to differentiate between IBD patients and controls based on significant differences of 6 sensors (p=0.004; p<0.001; p=0.001; p=0.028; p<0.001 and p=0.005) with an accuracy of 0.68.