Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a retrospective cohort study and predictive modeling based on machine learning
AIP is a significant predictor of ICU and hospital LOS in patients with critically ill ASCVD. AIP could serve as an early prognostic tool for guiding clinical decision-making and managing patient outcomes.
Authors
- Xiaoyan Zhu (ORCID: https://orcid.org/0000-0002-1078-4123)
- Chunbao Jiao (ORCID: https://orcid.org/0000-0002-9566-8243)
- Lina Sui (ORCID: https://orcid.org/0000-0002-1663-3617)
- Xudong Pan
- Fuxu Wang (ORCID: https://orcid.org/0000-0002-3365-4428)
- Shiyin Ma (ORCID: https://orcid.org/0000-0001-6867-7200)
- Zhi Mao (ORCID: https://orcid.org/0000-0001-6168-8732)
- Yu Guo (ORCID: https://orcid.org/0000-0002-5678-9552)
- Shuangmei Zhao (ORCID: https://orcid.org/0000-0002-2562-3760)
- R. Lu
Institutions
- Qingdao University (CN)
- Chinese PLA General Hospital (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1186/s12933-025-02654-3
- Citations
- 14
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 14.64
Funders
- National Natural Science Foundation of China