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A narrative review on lung injury: mechanisms, biomarkers, and monitoring

  • 0Department of Respiratory Medicine, Haihe Hospital, Tianjin University, Tianjin, 300350, China.
Critical Care (london, England) +

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November 1, 2024

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November 1, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Monitoring lung injury is vital for respiratory disease management. This review covers lung injury mechanisms, biomarkers, and proposes an AI model for personalized patient care and improved outcomes.

Area Of Science

  • Pulmonary Medicine
  • Biomarker Discovery
  • Artificial Intelligence in Healthcare

Background

  • Lung injury is a critical factor in respiratory disease outcomes, influencing heterogeneity, severity, mortality, and prognosis.
  • Effective monitoring of lung injury is essential for optimizing patient management and improving clinical outcomes.
  • Current clinical tools for assessing lung health have limitations in comprehensively evaluating lung injury.

Purpose Of The Study

  • To review acute and chronic respiratory diseases associated with significant lung injury.
  • To summarize mechanisms of lung cell death and identify novel plasma biomarkers for lung injury.
  • To propose an artificial intelligence (AI)-driven model for monitoring lung injury, predicting severity, mortality, and prognosis.

Main Methods

  • Literature review of respiratory diseases with lung injury.
  • Summary of lung cell death mechanisms and associated biomarkers.
  • Conceptualization of an AI-driven monitoring model for lung injury.

Main Results

  • Identification of key respiratory diseases characterized by lung injury.
  • Highlighting of plasma biomarkers indicative of specific lung cell and scaffold damage.
  • Proposal of an AI model integrating biomarkers for comprehensive lung injury assessment.

Conclusions

  • Accurate monitoring of lung injury is crucial for personalized medicine in respiratory diseases.
  • Novel biomarkers and AI offer promising avenues for improved lung injury assessment and patient prognosis.
  • The proposed AI model aims to enhance precision medicine by predicting disease severity and patient outcomes.

Keywords: