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Thoracic muscle loss increases the use of mechanical ventilation in elderly patients with pulmonary embolism: constructing and validating a machine learning model on a two-center cohort

Crossref DOI link: https://doi.org/10.1186/s12877-026-07241-z

Published Online: 2026-03-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Deng, Zexiang

Luo, Dan

Zhou, Jingjing

Zhang, Xiaomei

Ren, Haibo

Deng, Weiwei

Gong, Lianggeng
Funding

Funding for this research was provided by:

Science and Technology Plan of Jiangxi Provencal Health Commission (202310508)

Internal Funding Project of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University (2024efyB04)
License Information

Text and Data Mining valid from 2026-03-04

Version of Record valid from 2026-04-10
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Article History

Received: 10 October 2024

Accepted: 23 February 2026

First Online: 4 March 2026

Declarations

:

: This retrospective study was conducted at The Second Affiliated Hospital of Nanchang University and was approved by its Institutional Review Board (IRB) on October 13, 2023, which also waived the requirement for informed consent. The study protocol was registered and filed with the National Medical Research Registration and Filing Information System (approval ID: MR-36–24-042480).Written informed consent was waived by the Institutional Review Board (IRB).

: Personal information about the study participants will not be published.

: The authors declare no competing interests.

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