The research proposed in this study will develop a noninvasive prototype device that will capture intestinal sounds, process signals, and display predictive information in real-time at the point-of-care using algorithms already developed at this institution.
Following major abdominal surgery, up to 30% of patients develop a poorly understood condition known as ileus. When ileus occurs, the bowels shut down and patients often develop abdominal dissension, nausea, vomiting, and even more serious complications. Because this condition does not develop until many days after surgery has been completed, clinicians do not know if they should begin allowing patients to eat or withhold nutrition until they show signs of bowel function such as passing gas or having bowel movements. Clinicians have different approaches but none are ideal: 1) feed all patients early and the ones that develop an ileus will have their diets reverse, suction tube placed in their stomach, and hopefully don't get develop more serious complications, or 2) don't feed patients until they pass gas or have a bowel movement, which delays nutrition and prolongs hospital stays for the 70% of patients who will not develop an ileus Participants in this study will be asked to wear a 3-ounce device that adheres to the skin of the abdominal wall for 10 days. They will also be asked to answer questions each day of their hospital stay regarding how they have tolerated eating.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
203
Subjects will wear a 3-inch by 3-inch stethoscope device that adheres to the skin of the abdomen via FDA approved adhesive material. It will be applied either in the operating room at the completion of surgery or in the recovery room. The device will remain on the abdomen until discharge or for 10 days, whichever comes first.
The research team will ask questions of the subject regarding nausea, vomiting, passage of flatus, return of bowel function, and satisfaction with the device every day that the subject is hospitalized.
The research team will ask questions of the subject regarding satisfaction or dissatisfaction with having the device placed and attached to their abdomen.
University of Iowa
Iowa City, Iowa, United States
Device Sensitivity for Predicting Ileus.
Calculate the sensitivity of the device to predict ileus, as defined by the number of patients with device-predicted ileus (true positive) as compared to the number both with device-predicted ileus and with ileus that the device did not predict (true positive + false negative).
Time frame: Each patient's device's data was assessed at day 15.
Device Specificity for Predicting Ileus
Calculate the specificity of the device to predict ileus, as defined by the number of patients where the device correctly predicted no ileus (true negative) as compared to the number both with device correctly predicting no ileus and device incorrectly predicting ileus (true negative plus false positive).
Time frame: Each patient's device's data was assessed at day 15.
Device Positive Predictive Value for Predicting Ileus
Calculate the positive predictive value of the device to predict ileus, as defined by the number of patients with device-predicted ileus (true positive) as compared to the number both with device-predicted ileus and with device incorrectly predicting ileus (true positive plus false positive).
Time frame: Each patient's device's data was assessed at day 15.
Device Negative Predictive Value for Predicting Ileus
Calculate the negative predictive value of the device to predict ileus, as defined by the number of patients where the device correctly predicted no ileus (true negative) as compared to the number both with device correctly predicted no ileus and with ileus the device did not predict (true negative plus false negative).
Time frame: Each patient's device's data was assessed at day 15.
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