ArticleBMC cardiovascular disorders2025
The impact of the lactate-to-albumin ratio on long-term mortality risk in patients with severe heart failure and type 2 diabetes.
Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Lactate-to-albumin ratio as an independent predictor of short- and long-term mortality in ICU patients with malignant tumors: A retrospective cohort study.Oncology letters · 2026Article
- Mechanistic Studies of Lactate in Heart Failure: From Metabolic Biomarker to Therapeutic Target.Reviews in cardiovascular medicine · 2026Review
- Association between lactate-to-albumin ratio and 28-day mortality in critically ill patients with HFpEF: a retrospectively cohort study.Scientific reports · 2026Article
- Early Peri-Admission Lactate-to-Albumin (LAR), C-Reactive Protein-to-Albumin (CAR), and Procalcitonin-to-Albumin (PAR) Ratios and ICU Mortality in a Tertiary Cardiac ICU.Journal of clinical medicine · 2026Article
- Elevated lactate dehydrogenase-to-albumin ratio: a novel and independent predictor of ventricular aneurysm in STEMI patients.Frontiers in endocrinology · 2026Article
- The role of the Lactate-to-Albumin ratio in predicting ICU admission and mortality in patients with UGIB presenting to the ED: a prospective observational study.BMC emergency medicine · 2025Observational
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9 authors.
Funding
Abstract
backgroundHeart failure (HF) combined with diabetes is highly prevalent and is associated with more severe left ventricular dysfunction and a higher mortality rate. Early prediction of prognosis in such patients is crucial. This study aims to investigate the relationship between the lactate-to-albumin ratio (LAR) and outcomes in critically ill patients diagnosed with HF and diabetes.
methodsData on critically ill HF patients with diabetes were retrospectively collected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Restricted cubic spline (RCS) analysis identified a threshold value of 0.44, dividing patients into low-LAR (< 0.44) and high-LAR (≥ 0.44) groups. Least Absolute Shrinkage and Selection Operator (LASSO) regression with tenfold cross-validation identified variables associated with mortality. RCS, Kaplan-Meier curves, and Cox regression analyses were employed to evaluate the association between LAR and mortality. Subgroup analyses were conducted to validate the robustness of the findings.
resultsA total of 3,774 patients were included, with a determined LAR cutoff value of 0.44. RCS analysis revealed a positive correlation between LAR and all-cause mortality at 90 days, 180 days, and 1 year. Cox regression analysis showed that both low-LAR and high-LAR groups were independent risk factors for all-cause mortality at 90 days, 180 days, and 1 year in HF patients with diabetes (P < 0.05). Kaplan-Meier survival curves demonstrated that the cumulative survival rates at 90 days, 180 days, and 1 year were lower in the low-LAR group compared to the high-LAR group. Subgroup analyses confirmed the stability of the association between LAR and all-cause mortality at all time points.
conclusionIn summary, LAR is a reliable and independent predictor of increased mortality in critically ill HF patients with diabetes. However, additional comprehensive prospective studies are needed to validate these findings.
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