International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Predictive Value of Lung Ultrasound Scoring System in ARDS Severity and Mortality

Dr. Shubham Suday

Abstract: Background: Acute Respiratory Distress Syndrome (ARDS) is characterized by diffuse alveolar damage leading to hypoxemia and respiratory failure. Accurate bedside assessment of ARDS severity is challenging with conventional imaging. Lung ultrasound (LUS) is emerging as a promising radiation-free, repeatable modality capable of providing real-time lung aeration evaluation. Objective: To evaluate the lung ultrasound scoring system as a predictive tool for clinical severity and 28-day outcomes in patients with ARDS. Methods: In this single-center observational study conducted from January to June 2024, 30 adult patients with ARDS (Berlin criteria) underwent standardized lung ultrasound scoring across 12 thoracic regions. LUS scores were correlated with oxygenation parameters (PaO2/FiO2 ratio), need for mechanical ventilation, and 28-day mortality. Statistical analysis included correlation coefficients and receiver operating characteristic (ROC) curve analysis. Results: Lung ultrasound scores demonstrated a moderate to strong inverse correlation with oxygenation (r = -0.69), indicating that higher LUS scores reflect worse gas exchange. Patients who died within 28 days had significantly higher mean LUS scores (22.7 ± 3.0) than survivors (17.8 ± 3.9; p

Keywords: ARDS, lung ultrasound, mortality prediction, bedside assessment, oxygenation

How to Cite?: Dr. Shubham Suday, "Predictive Value of Lung Ultrasound Scoring System in ARDS Severity and Mortality", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 435-436, https://www.ijsr.net/getabstract.php?paperid=SR25808180256, DOI: https://dx.doi.org/10.21275/SR25808180256

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.