System and method for predicting pulmonary complications following rib fractures

A predictive algorithm using serum biomarkers addresses the challenge of classifying rib fracture severity, enabling early identification of at-risk patients and improving treatment strategies for complications like AKI and ALI.

WO2026044247A1 Publication Date: 2026-02-26THE HENRY M JACKSON FOUND FOR THE ADVANCEMENT OF MILITARY MEDICINE INC +1
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Patent Information

Application Number
PCT/US2025/043208
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-08-23
Filing Date
2025-08-22
Publication Date
2026-02-26

AI Technical Summary

Technical Problem

Rib fractures are increasingly common and can lead to significant morbidity and mortality due to complications such as acute lung injury (ALI) and pneumonia, with existing methods lacking effective early classification of injury severity.

Method used

A predictive algorithm using serum biomarkers like eotaxin-3, IL-6, TNF-α, FGF basic, IFN-γ, G-CSF, IL-8, IP-10, MIG, MCP-4, IL-2Ra, and IL-16 to assess the risk of adverse responses and severity of thoracic injuries, utilizing machine learning techniques for personalized treatment strategies.

Benefits of technology

Enables early identification of patients at risk for complications, facilitating personalized treatment and reducing unnecessary interventions by accurately predicting outcomes like AKI, ALI, and pneumonia, thereby improving patient outcomes.

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Abstract

Described herein are methods, systems, and computational environments for predicting clinical outcomes based on a regression model trained on data of patients having a rib fracture. Also described are methods, systems, and computational environments for generating the regression model for predicting clinical outcomes. One aspect of the present disclosure provides a method of determining a subject's risk of adverse response after a rib fracture, comprising, consisting of, or consisting essentially of applying a predictive algorithm to serum analysis data including one or more biomarkers.
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