Use of Simplified Lung Ultrasound Score for Predicting ICU Outcomes in Patients with Acute Respiratory Failure

November 5, 2024 updated by: Mona Zakaria Hassab Elnabi Shahin, Assiut University

This study aims to

Primary Aims:

Verify the predictability of the PLIS at admission in predicting major clinical outcomes including:

  • ICU mortality (or discharge) and time to death (or discharge)
  • Escalation of ventilatory support antibiotic therapy or supportive medications (inotropes, steroids, sedation, neuromuscular blockers).

Secondary Aims:

  • Determine the correlation between initial PLIS and the degree of disease severity (as evaluated per SOFA and APACHE II scores)
  • Determine the correlation between initial PLIS and partial pressure of oxygen in arterial blood (PaO2) to Fraction of inspired oxygen (FiO2): PaO2/FiO2
  • Explore the potential association between the type of ventilatory support, ventilatory settings and PLIS at different time points.
  • Verify whether the site of consolidation (anterior vs. posterior lung zones) can reliably predict mortality in in ALI patients.
  • Determine the correlation between the PLIS score and the degree of ALI as quantified by CT of the chest (whenever a CT study is available) at the time of admission.

Study Overview

Detailed Description

Respiratory failure and acute lung injury (ALI) in patients admitted to ICU are major causes of morbidity And mortality As high as 60 % of ICU population dii during their ICU admission due to ALI Accurate assessment of the severity of ALI is Crucial for guiding treatment decisions and predicting patient outcome Reliance on chest X-ray and Computed tomography has its limitations including subjectivity and potential delays in obtaining and interpreting results high cost radiation exposure and lack of continuous monitoring particularly for critically ill patients Ultrasound -being non-invasive low cost radiation free- has been increasingly used as a bedside tool for evaluation and monitoring of ALI However most lung ultrasound protocols published to date are cumbersome and time consuming They typically involve screening at least 12 different lung areas each graded from 0 to 3 point thus generating scores ranging from 0 to 36 .While these scores are informative for research purposes they are less practical in a busy or ICU environment Also disregarding the site of B-lines or consolidation and the size of consolidation potentially under-estimates the severity of ALI Recently a novel -yet comprehensive- point of care ultrasound lung injury score has been developed to aid informative and quick assessment of ALI in ICU PLIS involves screening of only 3 areas but it uniquely considers the level of ventilatory support and gives credit to the number of B lines size of consolidation location of consultation The score reliably predicted to the need of ICU admission in a group off of COVID 19 patients directly correlation with their SOFA scores also predicted ICU mortality in this patient However Wider adoption of PLIS by intensivists dictates evaluation of its performance in a wider ICU population with a variety of underlying diagnoses This study is to verify whether PLIS remains valid for predicting ICU outcomes in patients with acute respiratory failure regardless the etiology type of respiratory failure oxygen requirement level of ventilatory support

Study Type

Observational

Enrollment (Estimated)

72

Contacts and Locations

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

Study Contact

  • Name: Mona Zakria Hassab Elnabi, resident doctor
  • Phone Number: +201145682833
  • Email: mony.zak05@gmail.com

Study Contact Backup

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients who are more than 18 years in repiratory failure in ICU and use of chest us in supine or semisupine position

Description

Inclusion Criteria:

  • Age is or more than 18 years old.
  • Admission to ICU in the first24 hours at time of recruitment to the study.
  • Patients in respiratory failure [PaO2 is less then 60 % mmHg]

Exclusion Criteria:

  • Co- existing chronic lung disease, pathology of which is known display abnormalities on US examination (interstitial lung diseases, bronchiectasis).
  • Large pneumothorax or massive pleural effusion causing significant collapse and precluding proper visualization of underlying lung.
  • Conditions that may interfere with lung ultrasound quality or probe contact such as marked obesity, severe chest wall deformities, burns or wounds.

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
ICU Mortality
Time Frame: 60 days
Percentage of patients who will die during their ICU admission
60 days
Time to death/discharge
Time Frame: 60 days
Number of days until the patient dies inside the ICU or becomes discharged from ICU
60 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Need for Therapy escalation: Ventilatory Support
Time Frame: 60 days
Binary response (yes or no), to whether the type of ventilatory support (COT-HVNI-NIV-IMV) was escalated or not
60 days
Need for Therapy Escalation: Ventilatory seetings
Time Frame: 60 days
Binary response (yes or no) to whether change in ventilatory settings (FiO2, IPAP, EPAP, Ti,TVe) was needed
60 days
Need for Therapy Escalation: Medications
Time Frame: 60 days
Binary response (yes/no) to whether medications like antibiotics, inotropes, sedation, or NMBs, which were not initiated needed to be added or not
60 days

Collaborators and Investigators

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

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the 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 (Estimated)

November 20, 2024

Primary Completion (Estimated)

October 1, 2025

Study Completion (Estimated)

October 1, 2025

Study Registration Dates

First Submitted

October 5, 2024

First Submitted That Met QC Criteria

November 5, 2024

First Posted (Estimated)

November 7, 2024

Study Record Updates

Last Update Posted (Estimated)

November 7, 2024

Last Update Submitted That Met QC Criteria

November 5, 2024

Last Verified

October 1, 2024

More Information

Terms related to this 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

No

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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