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August 25, 2025Open Access

High-Accuracy Identification of Asymptomatic Pulmonary Embolism Using Neutrophil-to-Lymphocyte Ratio (NLR), Systemic Immune-Inflammation Index (SII), Geneva Original Score, Smoking Duration, Thrombus Location, and Hypertension History: A Single-Center Retrospective Cohort Study

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Authors

XMXiaomin Mu QAQi An GWGuibin Wan

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Overview

Retrospective cohort analysis demonstrates predictors of asymptomatic pulmonary embolism in patients with DVT, suggesting risk assessment improvement.

Key Points

Elevated neutrophil-to-lymphocyte ratio (NLR) significantly predicts asymptomatic pulmonary embolism, while other factors enhance risk assessment.
The area under the curve (AUC) for the predictive model reached 0.84, indicating high identification accuracy of asymptomatic pulmonary embolism.
Retrospective cohort study involved 401 patients with deep vein thrombosis to analyze various predictive factors for asymptomatic pulmonary embolism.
An integrated approach combining key biomarkers and clinical history may enhance early screening for asymptomatic pulmonary embolism, potentially reducing unnecessary imaging.

Cite This Study

Mu et al. (2025) studied this question.

synapsesocial.com/papers/68af5f13ad7bf08b1eae1cc9 https://doi.org/10.21203/rs.3.rs-7237960/v1

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August 25, 2025Open Access

High-Accuracy Identification of Asymptomatic Pulmonary Embolism Using Neutrophil-to-Lymphocyte Ratio (NLR), Systemic Immune-Inflammation Index (SII), Geneva Original Score, Smoking Duration, Thrombus Location, and Hypertension History: A Single-Center Retrospective Cohort Study

View Full Paper

Ask AI

Bookmark

Authors

XMXiaomin Mu QAQi An GWGuibin Wan

Discussion

Member takes

Overview

Retrospective cohort analysis demonstrates predictors of asymptomatic pulmonary embolism in patients with DVT, suggesting risk assessment improvement.

Key Points

Elevated neutrophil-to-lymphocyte ratio (NLR) significantly predicts asymptomatic pulmonary embolism, while other factors enhance risk assessment.
The area under the curve (AUC) for the predictive model reached 0.84, indicating high identification accuracy of asymptomatic pulmonary embolism.
Retrospective cohort study involved 401 patients with deep vein thrombosis to analyze various predictive factors for asymptomatic pulmonary embolism.
An integrated approach combining key biomarkers and clinical history may enhance early screening for asymptomatic pulmonary embolism, potentially reducing unnecessary imaging.

Cite This Study

Mu et al. (2025) studied this question.

synapsesocial.com/papers/68af5f13ad7bf08b1eae1cc9 https://doi.org/10.21203/rs.3.rs-7237960/v1

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