Validation and Clinical Utility of the Lung Sliding Index (LSI) for Differentiating Pulmonary Diseases

NCT ID: NCT06983366

Last Updated: 2025-07-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

700 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-05-30

Study Completion Date

2026-03-01

Brief Summary

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This upcoming case-control study aims to confirm the Lung Sliding Index (LSI), a new ultrasound score that measures how well the pleura moves, in various lung diseases. The study will check how well the LSI can tell apart different lung diseases (like pneumothorax, interstitial lung disease, COPD, pneumonia, and pulmonary edema), how it relates to signs of disease severity, and how consistent the results are between different operators who have received the same training. Secondary objectives include assessing patient and operator satisfaction and feasibility using validated Likert scales.

Detailed Description

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* The study will enroll adults with various pulmonary pathologies and healthy controls. Lung ultrasound will be performed on all subjects using a standardized 12-zone protocol; each zone will be scored for pleural sliding using the LSI (0-3 per zone; total 0-36). Operator training and calibration will precede enrollment to ensure scoring consistency.
* A subset of patients will undergo repeat assessments to evaluate intra- and interobserver reliability, using independent, blinded raters.
* For correlation with LSI, we will collect clinical data, including spirometry, blood gases, symptom scores, and 6-minute walk tests. Diagnostic utility will be evaluated using ROC curves. Satisfaction and feasibility will be assessed via Likert questionnaires, with validation analyses (internal consistency, test-retest reliability).
* All data will be de-identified and securely stored. Written informed consent will be obtained from all participants.
* The study groups will include:

1- Pneumothorax 2. Interstitial lung disease (ILD/IPF) 3. COPD/emphysema 4. Bronchiectasis 5. Community-acquired pneumonia 6. Pulmonary edema 7- Pleural effusion 8. Healthy controls
* Data Collection Methods:
* Standardized data entry forms for clinical, imaging, and outcome data.
* Centralized digital storage with access limited to study personnel.

Statistical Methods:

\- Descriptive statistics for baseline data ANOVA or Kruskal-Wallis for group comparisons; post hoc testing as appropriate ROC analysis for diagnostic cut-offs Pearson/Spearman correlation for clinical associations Intraclass correlation coefficients (ICC) for reliability Cronbach's alpha for Likert scale validation Multivariable regression for confounder adjustment

Conditions

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COPD ILD Bronchiectasis Pneumothorax Pneumonia Pleural Effusion Disorder Pulmonary Oedema

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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COPD

Chronic obstructive pulmonary disease patients will be further classified as mild, moderate, severe, and very severe according to GOLD classification.

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

Pneumothorax

Patients with Pneumothorax

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

CAP

Community-acquired pneumonia will be classified using the CURB-65 score into mild, moderate, and severe.

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

ILDs

Interstitial lung diseases will be further classified using FVC% classes, categorized as mild, moderate, and severe.

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

Bronchiectasis

patients with non-cystic fibrosis bronchiectasis

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

Pleural Effusion

Patients with pleural effusion

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

Pulmonary Oedema

Patient with any degree of Pulmonary oedema

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

Control

Healthy control subjects for comparison

Lung Ultrasound

Intervention Type DIAGNOSTIC_TEST

All enrolled patient will be subjected to Lung Ultrasound examination LUS

Interventions

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Lung Ultrasound

All enrolled patient will be subjected to Lung Ultrasound examination LUS

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Age 18 years and older.
* Diagnosed with one of the specified pulmonary diseases, or a healthy control
* Able to provide written informed consent

Exclusion Criteria

* Inability to tolerate or undergo a lung ultrasound
* Extensive chest wall pathology precluding assessment
* Unscorable \>2 zones per protocol
* Withdrawal of consent
* Mechanically-ventilated patients
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Aliae AR Mohamed Hussein [ahussein

UNKNOWN

Sponsor Role collaborator

Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Ahmad Shaddad

Associate professor of pulmonary medicine - faculty of medicine - Assuit University

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Ahmad M. Shaddad, MD

Role: PRINCIPAL_INVESTIGATOR

Assiut University

Aliae A. Hussien, MD

Role: PRINCIPAL_INVESTIGATOR

Assiut University

Locations

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Assiut University- Faculty of Medicine

Asyut, , Egypt

Site Status RECRUITING

Countries

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Egypt

Central Contacts

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Ahmad M. Shaddad, MD

Role: CONTACT

+201111171930

Facility Contacts

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Ahmad M. Shaddad, MD

Role: primary

+201111171939

Other Identifiers

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IRBAU3211-2025

Identifier Type: -

Identifier Source: org_study_id

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