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Clinical Trials/NCT02677909
NCT02677909
Withdrawn
N/A

Computer-Aided, Non-Invasive, Acoustic Gastrointestinal Surveillance (AGIS) in ICU Patients

Cedars-Sinai Medical Center1 site in 1 countryJanuary 1, 2018

Overview

Phase
N/A
Intervention
Not specified
Conditions
Critical Illness
Sponsor
Cedars-Sinai Medical Center
Locations
1
Primary Endpoint
Count of motility events per minute
Status
Withdrawn
Last Updated
6 years ago

Overview

Brief Summary

In this study, the investigators aim to conduct a pilot test of the AbStats device. The v2.0 prototype is a low-profile set of sensors that fits externally around the abdomen and is embedded with specialized wireless sensors. The device continuously, safely, and comfortably monitors intraabdominal acoustic signals, and stores the data in a HIPAA compliant software system.

The investigators will focus this trial on a high-impact inpatient population: ileus in the surgical critical care unit. The investigators will compare the device's signal profiles in patients with ileus vs those who tolerate feeding without high gastric feed residual. Our study will have the following specific aims:

Specific Aim #1: To measure the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of initiation day ("PID 0") AGIS signals in predicting PID #1 feeding failure. Specific Aim #2: Among patients tolerating feeds on PID #1, to measure the sensitivity, specificity, PPV, and NPV of AGIS in predicting feeding failure on subsequent icu days.

Detailed Description

The AGIS device consists of two acoustic sensors placed on the abdomen to "hear" all segments of the abdominal cavity. Other sensor configurations are possible as needed. Initial testing of this device was conducted at UCLA and VA-Wadsworth under separate IRB approval; however, at this time, all remaining human subjects will be enrolled at CSMC only. We will collect AGIS data in patients undergoing GI abdominal surgery on the day of surgery and throughout their inpatient hospital course. We will recruit patients who are already scheduled to undergo GI abdominal surgery. The AbStats/AGIS system will be utilized to measure and analyze bowel sounds and correlate with clinical findings. We will exclude subjects who cannot consent, have cognitive inability to follow directions, or have any abdominal wall condition that disallows topical coverage as deemed by the treating physician (e.g. abdominal wound, advanced cellulitis, etc.). We will obtain consent from the patient for incorporating the AGIS device during the inpatient stay. The technical staff will be oriented to the device. However, a physician member of our staff will be available at all times to help position the device if needed. A research coordinator will collect clinical data and enter the data into a secure spreadsheet. Study team members willcollect the following data from patient medical records once patients have consented for the study: Age, Sex, Race/Ethnicity, Body Mass Index (BMI), Abdominal symptoms per chart review, abdominal examination findings per chart review, days in the ICU, days in step down monitoring unit, days in ward, daily vital signs in proximity to the time device is worn, including temperature recordings, respiratory rate recordings, heart rate recordings, blood pressure recordings, and medication usage. Patient data pertaining to their return to bowel function will be abstracted, including: date/time bowel sounds first recorded in chart, date/time first flatus recorded in chart, date/time first bowel movement recorded in chart, date/time of any vomiting episodes, date/time oral diet initiated, amount of diet tolerating, need for placement of nasogastric decompression tubes. Patients will be asked to fill out diaries of their symptoms when possible.

Registry
clinicaltrials.gov
Start Date
January 1, 2018
End Date
July 2021
Last Updated
6 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Matthew Bloom

Assistant Professor of Surgery

Cedars-Sinai Medical Center

Eligibility Criteria

Inclusion Criteria

  • 18 years or older
  • Admission to the SICU

Exclusion Criteria

  • Unable to place sensors on patients

Outcomes

Primary Outcomes

Count of motility events per minute

Time Frame: 1 minute

Study Sites (1)

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