Analysis of risk factors and linear prediction model construction for prolonged mechanical ventilation after Stanford A-type aortic dissection

The prediction model for prolonged mechanical ventilation time in patients with Stanford type A aortic dissection has a good prediction effect and is convenient for clinical use, providing a reference for medical workers to take preventive treatment.

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Publication Details

Journal
Frontiers in Surgery
Published
2025-11-06
DOI
https://doi.org/10.3389/fsurg.2025.1697977
Citations
1
Primary Topic
Aortic Disease and Treatment Approaches
Type
article
Field-Weighted Citation Impact
1.52
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article

Analysis of risk factors and linear prediction model construction for prolonged mechanical ventilation after Stanford A-type aortic dissection

L I Hong-Mei, Jiajie Yu, Yali Wang, Ting Chen et al.
1 citations
Frontiers in Surgery
Aortic Disease and Treatment Approaches
1.52
article

Analysis of risk factors and linear prediction model construction for prolonged mechanical ventilation after Stanford A-type aortic dissection

L I Hong-Mei, Jiajie Yu, Yali Wang, Ting Chen, Yanlin Wei
article en
1 citations

Abstract

The prediction model for prolonged mechanical ventilation time in patients with Stanford type A aortic dissection has a good prediction effect and is convenient for clinical use, providing a reference for medical workers to take preventive treatment.

Frontiers in SurgeryVol. 12
North Sichuan Medical University (CN), Affiliated Hospital of North Sichuan Medical College (CN), Nanchong Central Hospital (CN)
Openalex Percentile: Top 13%
Aortic Disease and Treatment Approaches
1.52
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