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The Lactate/Albumin Ratio Predicts Mortality in Critically Ill Patients with Acute Kidney Injury: An Observational
Xu Zhu1, Jing Xue2, Zheng Liu3
1Department of Epidemiology and Health Statistics, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, People's Republic of China.
International Journal of General Medicine
|January 10, 2022
Summary
The serum lactate/albumin ratio (LAR) predicts mortality in critically ill patients with acute kidney injury (AKI). A high LAR is an independent risk factor for in-hospital and intensive care unit (ICU) death.
Area of Science:
- Critical Care Medicine
- Nephrology
- Biomarkers
Background:
- The serum lactate/albumin ratio (LAR) is a known predictor of sepsis-related mortality.
- The prognostic value of LAR in critically ill patients with acute kidney injury (AKI) is not well-established.
Purpose of the Study:
- To evaluate the prognostic significance of the LAR in predicting outcomes for critically ill patients diagnosed with AKI.
- To determine if LAR serves as an independent risk factor for mortality in this patient population.
Main Methods:
- Retrospective observational study utilizing the eICU Collaborative Research Database.
- Inclusion of 4666 critically ill AKI patients, categorized into four LAR quartiles.
- Multivariate Cox regression, Kaplan-Meier analysis, and receiver operating characteristic (ROC) analysis were employed.
Main Results:
- Higher LAR quartiles were significantly associated with increased in-hospital and ICU mortality.
- LAR demonstrated efficiency in predicting in-hospital (AUC: 0.717) and ICU mortality (AUC: 0.733).
- Subgroup analyses confirmed a consistent and independent association between high LAR and mortality risk.
Conclusions:
- Elevated serum lactate/albumin ratio (LAR) is an independent predictor of mortality in critically ill patients with acute kidney injury (AKI).
- Findings suggest LAR can be a valuable tool for risk stratification in AKI patients.
- Further prospective studies are recommended for validation.
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