Construction and verification of risk prediction model of pulmonary embolism in ICU patients with COPD in acute exacerbation based on age, SAPSII score, braking state, and mechanical ventilation.

Hong Li, Qian Ning, Ya Liu, Yamei Pang, Sifang Feng

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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Hong LiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shanxi, China.

Qian NingDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shanxi, China.

Ya LiuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shanxi, China.

Yamei PangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shanxi, China.

Sifang FengDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the risk of pulmonary embolism (PE) in ICU patients with acute exacerbation of COPD, using age, SAPS II score, immobilization status, and mechanical ventilation as factors, and to develop a PE risk prediction model. Methods: A retrospective study of 220 ICU patients with acute COPD exacerbation between March 2017 and March 2024. Patients were categorized into PE-positive and PE-negative groups. A logistic regression model was constructed based on clinical characteristics to identify risk factors for PE. Results: Among 220 patients, 50 developed PE. Logistic regression identified age, SAPS II score, immobilization of ≥7 days, and invasive mechanical ventilation as significant predictors of PE ( Conclusions: A PE prediction model based on age, SAPS II score, immobilization of ≥7 days, and mechanical ventilation was developed. This model effectively identifies high-risk patients and aids in early intervention for PE in ICU patients with acute COPD exacerbation.

Indexed as

acute exacerbation periodCOPDICU patientspulmonary embolismrisk prediction model

Identifiers

PMID40265179

DOI10.3389/fmed.2025.1564220

PMCPMC12011782

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