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.
Journal:
Cardiovascular diabetology
PMID:
40022165
Abstract
BACKGROUND: The atherogenic index of plasma (AIP) is considered an important marker of atherosclerosis and cardiovascular risk. However, its potential role in predicting length of stay (LOS), especially in patients with atherosclerotic cardiovascular disease (ASCVD), remains to be explored. We investigated the effect of AIP on hospital LOS in critically ill ASCVD patients and explored the risk factors affecting LOS in conjunction with machine learning.
Authors
Keywords
Aged
Atherosclerosis
Biomarkers
Cholesterol, HDL
Critical Illness
Databases, Factual
Decision Support Techniques
Female
Humans
Intensive Care Units
Length of Stay
Machine Learning
Male
Middle Aged
Predictive Value of Tests
Prognosis
Retrospective Studies
Risk Assessment
Risk Factors
Time Factors
Triglycerides