A Retrospective Study to Evaluate the Predictability of Abnormal Arterial Blood Gas Measurements Through Novel Observations of Continuous Trends in Electronically Measured Respiratory Rate in a Mixed Cohort of Respiratory Compromised Patients

Overview

A retrospective study to evaluate the predictability of abnormal arterial blood gas measurements through novel observations of continuous trends in electronically measured respiratory in a mixed cohort of respiratory compromised patients.

Study Type

  • Study Type: Observational
  • Study Design
    • Time Perspective: Retrospective
  • Study Primary Completion Date: October 12, 2022

Interventions

  • Device: RespiraSense
    • The use of continuous electronic monitoring of respiratory rate

Arms, Groups and Cohorts

  • COPD
    • Patients admitted with COPD as the primary admission.
  • Respiratory Compromised General
    • Patients admitted with Pneumonia, COPD, COVID, to be included

Clinical Trial Outcome Measures

Primary Measures

  • Positive Predictive Value/Precision (PPV)
    • Time Frame: 12 months
    • Positive Predictive Value/Precision (PPV) of an elevated RespiraSense monitoring Respiratory Rate (RR) for an abnormal ABG – for a single disease state (COPD)

Secondary Measures

  • PPV of an elevated RR for an abnormal ABG – for a mix of disease states
    • Time Frame: 12 months
    • PPV of an elevated RR for an abnormal ABG – for a mix of disease states, all of which fall under Respiratory Failure

Participating in This Clinical Trial

Inclusion Criteria

  • Respiratory condition is the primary admission diagnosis Exclusion Criteria:

  • Pregnant patients in their 2nd or 3rd trimester

Gender Eligibility: All

Minimum Age: 18 Years

Maximum Age: 99 Years

Are Healthy Volunteers Accepted: No

Investigator Details

  • Lead Sponsor
    • Beaumont Hospital
  • Provider of Information About this Clinical Study
    • Principal Investigator: Professor Richard Costello, Professor of Respiratory Medicine – Beaumont Hospital
  • Overall Contact(s)
    • Richard Costello, +353(0)18093000, rcostello@rcsi.ie

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