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NCT07217197

Respiratory Monitoring System That Detects & Predicts OIRD

Enrolling by Invitation
NAAges 18+InterventionalDiagnostic
Thomas Jefferson University
~120 participants
Updated 2026-02-09 on ClinicalTrials.gov
What's tested:Study to evaluate a Respiratory Monitoring System (RMS) with a Tracheal Sound Sensor (TSS) for detecting and predicting opioid induced respiratory Depression (OIRD).

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Evaluate RMS Trend Data Prior to Each True OIRD Event to Determine the Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value for Detecting and Predicting a True OIRD Event.
Measured over From placement of the TSS and reference devices to device removal. A maximum of 24 hours of RMS and mask/pneumotach data in the PACU and a maximum of 24 hours of RMS and reference breathing data on the general wards, ICU, or intermediate ICU.

Conditions

Respiration Disorders

Explore related trials

Opioid-Induced Respiratory Depression

Where it's being run

1 sites across 1 states
Pennsylvania1

Study leadership

  • Marc C Torjman, PhD · PRINCIPAL_INVESTIGATOR · Thomas Jefferson University
  • Jeffrey I Joseph, DO · STUDY_DIRECTOR · Thomas Jefferson University

Who to contact

This trial hasn't published a contact. View it on ClinicalTrials.gov

What this trial measures

  • Evaluate RMS Trend Data Prior to Each True OIRD Event to Determine the Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value for Detecting and Predicting a True OIRD Event.From placement of the TSS and reference devices to device removal. A maximum of 24 hours of RMS and mask/pneumotach data in the PACU and a maximum of 24 hours of RMS and reference breathing data on the general wards, ICU, or intermediate ICU.

    Evaluate the recorded RMS trend data using a variety of analytical methods (pattern recognition, Risk-Index-Score, machine learning/artificial intelligence) to determine the sensitivity, specificity, positive predictive value, and negative predictive value for detecting a true OIRD event in post-operative surgical patients being managed with opioid medications for pain control.