Predictive Validity of a Computer-Aided, Non-Invasive, Acoustic Gastrointestinal Surveillance (AGIS) in Post-Operative Feeding

Using advances in low-cost sensor technologies and computer-aided analysis, the investigators have developed a disposable, non-invasive device for the continuous monitoring of abdominal sounds, called an AGIS sensor (Acoustic Gastro-Intestinal Surveillance). Following abdominal surgery, the standard protocol employed by most hospitals is to feed patients on their first post-operative day. However, one in every four patients is unable to tolerate feeding because of delayed recovery of bowel function, a condition called post-operative ileus (POI). Following abdominal surgery, monitoring for POI is typically limited to incidental interactions with the attending physician or other staff, which occur only intermittently throughout the day. The AGIS system specifically addresses postoperative digestion monitoring by offering continuous analysis of GI signals, automated processing of the signals, and immediate reporting of the patient's progress to caretakers.

The AGIS system is a compact, rapidly deployable unit that is comfortable for subjects and convenient in application. The AGIS sensor includes a standard microelectronic microphone for measurement of abdominal vibration and acoustic signals. The material in contact with the subject is standard 3M Tegaderm wound bandage adhesive material which is disposable, avoiding the need for cleaning and disinfection.

The AGIS sensor includes fine, flexible and convenient cables that connect to the AGIS Gateway, a low voltage battery powered device with a size approximately of a smartphone. The AGIS Gateway monitors the AGIS sensor signals and provides a measurement of intestinal motility and reports an AGIS Feeding Index score. The score is calculated using the number of acoustic events detected by AGIS per minute.

The investigators recently performed a proof-of-concept, cross-sectional study to test whether the AGIS monitoring system could distinguish healthy control participants from patients recovering from GI surgery. Seven healthy control participants were fed a breakfast and monitored with AGIS for two hours following the meal, allowing the investigators to obtain acoustic data and calculate a normal range of AGIS scores. The investigators also placed the sensor on patients recovering from abdominal surgery. The investigators monitored each patient for two hours and compared their AGIS scores to those of healthy controls using ANOVA with post-hoc comparisons. AGIS successfully discriminated among healthy control, patients tolerating food, and patients with POI.

Although the investigators' pilot data indicate that AGIS can distinguish patients from healthy controls, and can further distinguish between patients with POI vs. those tolerating food, the investigators do not yet know if AGIS can reliably predict which patients will fail to tolerate postoperative feeding. The investigators propose to test the predictive validity of the AGIS system in a pragmatic, observational study of patients scheduled for abdominal surgery.