Research Progress on Early Risk Prediction Model of Acute Respiratory Distress Syndrome

Taishan WANG; Guiyang JIA; Guoyue LIU; Erqin SONG; Guizhen YIN

doi:10.12259/j.issn.2095-610X.S20250517

Volume 46 Issue 5

May 2025

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Article Navigation > Journal of Kunming Medical University > 2025 > 46(5): 141-148

Taishan WANG, Guiyang JIA, Guoyue LIU, Erqin SONG, Guizhen YIN. Research Progress on Early Risk Prediction Model of Acute Respiratory Distress Syndrome[J]. Journal of Kunming Medical University, 2025, 46(5): 141-148. doi: 10.12259/j.issn.2095-610X.S20250517

Citation:

Taishan WANG, Guiyang JIA, Guoyue LIU, Erqin SONG, Guizhen YIN. Research Progress on Early Risk Prediction Model of Acute Respiratory Distress Syndrome[J]. Journal of Kunming Medical University, 2025, 46(5): 141-148. doi: 10.12259/j.issn.2095-610X.S20250517

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Research Progress on Early Risk Prediction Model of Acute Respiratory Distress Syndrome

doi: 10.12259/j.issn.2095-610X.S20250517

1.
Anesthesiology Department，Bijie Hospital of Zhejiang Provincial People’s Hospital，Bijie Guizhou 551799
2.
Graduate School of Zunyi Medical University，Zunyi Guizhou 563099
3.
Intensive Care Unit，The Second Affiliated Hospital of Zunyi Medical University，Zunyi Guizho 563006，China

Received Date: 2024-10-26
Publish Date: 2025-05-30

Abstract

Abstract

Acute respiratory distress syndrome （ARDS） is a key disease in the field of clinical critical illness diagnosis and treatment. Its incidence and mortality rate have always remained high. Due to its high heterogeneity of the cause, specific biomarkers are still lacking in clinical diagnosis, and targeted treatment strategies for its core pathological links still have significant limitations. In view of this, the construction of an ARDS risk prediction model based on multi-dimensional risk factors can provide key evidence-based guidance for clinical medical staff to identify high-risk groups at ARDS in the early stage. This paper aims to review the research progress of ARDS risk factors and prediction models, in order to provide new ideas and references in building more accurate prediction models for ARDS.
- Acute respiratory distress syndrome,
- Biomarkers,
- Risk factors,
- Predictive model

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References(66)

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