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Association between the Atherogenic Index of Plasma and in-Hospital Mortality in Individuals with Sepsis
Peng Li1, Xiujun Zhu2, Weiguo Zheng1
1Department of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People's Republic of China.
Insights
Elevated atherogenic index of plasma (AIP) is linked to increased in-hospital mortality (IHM) in sepsis patients. This finding highlights AIP as a potential risk indicator for sepsis outcomes.
Area of Science:
- Cardiology
- Critical Care Medicine
- Biomarkers
Background:
- The atherogenic index of plasma (AIP) is a known predictor of cardiovascular diseases (CVDs) and events.
- The association between AIP and in-hospital mortality (IHM) in sepsis patients is not well-established.
Purpose of the Study:
- To investigate the relationship between AIP and IHM in sepsis patients.
- Utilize a large dataset from the Medical Information Mart for Intensive Care (MIMIC) database.
Main Methods:
- Sepsis patients were identified from the MIMIC-IV database.
- Patients were stratified into four groups based on AIP quartiles.
- Logistic regression and restricted cubic spline (RCS) models were employed to assess the association.
Main Results:
- A total of 2243 sepsis patients were analyzed.
- Higher AIP levels showed a significant association with increased IHM (OR: 1.18, 95% CI: 1.05-1.33).
- No nonlinear association was detected between AIP and IHM via RCS modeling.
Conclusions:
- Elevated AIP is associated with a higher risk of IHM in individuals with sepsis.
- AIP may serve as a valuable prognostic biomarker in sepsis management.
Purpose:
Numerous studies have shown that the atherogenic index of plasma (AIP) is a strong predictor of the risk of cardiovascular diseases (CVDs) and an independent predictor of cardiovascular events (CEs) and related mortality. The predictive value of AIP for in-hospital mortality (IHM) in individuals with sepsis remains uncertain. Therefore, this study aimed to investigate the association between AIP and IHM among patients with sepsis using a large sample from the Medical Information Mart for Intensive Care (MIMIC) database.
Materials And Methods:
Individuals with sepsis were identified from the MIMIC-IV database and categorized into four groups according to AIP quartiles. The IHM was the primary outcome. The association between AIP and IHM was evaluated using logistic regression and restricted cubic spline (RCS) models.
Results:
A total of 2243 patients (59% male) were included this study. In univariable logistic regression, higher AIP was significantly associated with increased IHM (odds ratio: 1.18 [95% confidence interval: 1.05-1.33]; p of Wald test=0.005). The RCS model showed no evidence of a nonlinear association between AIP and IHM (p for nonlinearity>0.05). Sensitivity analysis demonstrated consistent findings regarding the magnitude and direction of the effects across different subgroups, indicating stable results.
Conclusion:
Elevated AIP was associated with higher IHM in individuals with sepsis.