Continuous vs Intermittent Monitoring of Respiratory and Heart Rate in Relation to Length of Stay (CIM-LOS)

May 7, 2025 updated by: Max Bell, Karolinska Institutet

Comparison Between Continuous and Intermittent Monitoring of Abnormal Respiratory and Heart Rate in Relation to Length of Stay. A Clinical Multicenter Study of Continuous Wireless Monitoring Within the NIGHTINGALE Project

Is heart rate and respiratory rate measured continuously with a new wireless sensor better as compared to standard care, with manually measured spot checks by nurses on general wards?

Does continuous monitoring detect more abnormal respiratory- and heart rate? Are abnormal values associated with increased lenght of stay?

Study Overview

Detailed Description

Tachypnea is not just a sign of ventilatory problems with hypoxia, but also a precursor of sepsis, metabolic acidosis and severe pain reflecting its role as an indicator of severe derangement in many body systems. A high respiratory rate has been shown to be the most reliable vital sign to predict clinical deterioration, cardiac arrest and is even associated with higher mortality rates. Despite this, it is the vital parameter most neglected; poorly documented or not recorded at all. Studies have shown that respiratory rate is measured in less than half of cases consequently jeopardizing patient safety. The lack of understanding why respiratory rate is important and its superiority to pulse oximetry in predicting clinical deterioration may be one of the reasons why it is not measured accurately.

Badawy and colleagues stated in their study "Is everyone really breathing 20 times a minute?" that respiratory rate was inaccurately recorded and had little variation in the recordings, even in patients with cardiopulmonary compromise, findings that's been supported with later studies. Respiratory rate has traditionally not been objectively measured in general wards, but instead calculated manually over 30 seconds or a minute. This could be changed by new wireless monitoring technology. A recent large study showed that continuous measured respiratory rate together with heart rate and age in a clinical deterioration model outperformed traditional early warning scores in predicting ICU admission.

The present study evaluates heart rate and respiratory rate measured continuously with a new wireless sensor as compared to standard care, with manually measured spot checks by nurses on general wards.

Study Type

Observational

Enrollment (Actual)

46

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Stockholm, Sweden
        • Karolinska Institutet
      • Stockholm, Sweden, 171 76
        • Karolinska University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Surgical high-risk patients, treated at Karolinska University Hospital and UMC Utrecht

Description

Inclusion Criteria:

  1. ≥ 18 years of age
  2. planned to go through a major high-risk surgery
  3. American Society of Anesthesiologists (ASA) class 2-4 due to present comorbidities
  4. planned to stay in the postoperative high dependency unit for >12hours where they also would have wired continuous monitoring.

Exclusion Criteria:

  1. pregnancy
  2. presence of implantable defibrillator or pacemaker
  3. allergy to skin adhesives

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Length of stay
Time Frame: Within 60 days of index surgery
Time from index surgery to hospital discharge
Within 60 days of index surgery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Frequency of monitoring
Time Frame: Within 60 days of index surgery
Time spent on continuous and intermittent monitoring
Within 60 days of index surgery
Abnormal respiratory rate and abnormal heart rate
Time Frame: Within 60 days of index surgery
Time spent in predefined abnormal RR and HR, with continuous and intermittent monitoring
Within 60 days of index surgery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 1, 2020

Primary Completion (Actual)

September 30, 2021

Study Completion (Actual)

December 31, 2024

Study Registration Dates

First Submitted

May 7, 2025

First Submitted That Met QC Criteria

May 7, 2025

First Posted (Actual)

May 15, 2025

Study Record Updates

Last Update Posted (Actual)

May 15, 2025

Last Update Submitted That Met QC Criteria

May 7, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Nightingale RR study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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