# The lactate-to-albumin ratio as a potential biomarker for short-term mortality risk in critically ill patients with urosepsis: a retrospective study with dual-cohort validation

**Authors:** Xiangqian Nie, Zhenlin He, Kun Wang, Decai Zhu, Lei Zhang, JianXin Hu, Ying Yu

PMC · DOI: 10.3389/fnut.2026.1753403 · Frontiers in Nutrition · 2026-02-17

## TL;DR

This study shows that the lactate-to-albumin ratio (LAR) can predict short-term mortality in urosepsis patients and outperforms traditional scores in risk prediction.

## Contribution

The study introduces LAR as a novel, cost-effective biomarker for predicting mortality in urosepsis patients.

## Key findings

- Higher LAR was associated with increased ICU and in-hospital mortality in urosepsis patients.
- A non-linear dose-response relationship between LAR and mortality was observed.
- A risk model using LAR and five other variables showed better predictive performance than traditional scores.

## Abstract

The lactate-to-albumin ratio (LAR) comprehensively reflects the nutritional status, inflammatory level, and degree of oxidative stress in critically ill patients and has been demonstrated to be associated with poor prognosis in various critical illnesses. However, its prognostic role in the specific context of urosepsis remains to be fully elucidated.

This study utilized the Medical Information Mart for Intensive Care (MIMIC-IV) database as an internal discovery cohort and included an external validation cohort from Bijie Hospital of Zhejiang Provincial People’s Hospital. Multivariable Cox regression, restricted cubic splines (RCS), Kaplan–Meier survival curves, and other methods were employed to analyze the association between LAR and short-term adverse outcomes in urosepsis patients. The robustness of the findings was assessed through subgroup analysis and interaction tests. Furthermore, four machine learning algorithms were combined to screen key variables for constructing a multivariable Cox risk prediction model, the performance of which was evaluated using receiver operating characteristic (ROC) curves.

A total of 1,055 urosepsis patients were included. The 28-day ICU mortality and in-hospital mortality rates were 20.6 and 19.1%, respectively. After multivariable adjustment, for each unit increase in LAR as a continuous variable, the hazard ratios (HR) for ICU mortality and in-hospital mortality were 1.35 (95% CI: 1.08–1.68) and 1.50 (95% CI: 1.19–1.90), respectively. When treated as a categorical variable, the high LAR group had a 73% increased risk of ICU mortality and a 71% increased risk of in-hospital mortality compared to the low LAR group. RCS analysis revealed a non-linear positive dose–response relationship between LAR and mortality. ROC analysis demonstrated that a simple risk model incorporating LAR and five other variables had superior predictive performance compared to traditional critical illness scores, and these conclusions were consistently validated in the external cohort.

The LAR is a cost-effective supplementary predictor of short-term mortality risk in critically ill urosepsis patients, primarily aiding early identification of high-risk cases to intensify monitoring and treatment. Its clinical value require further prospective validation.

## Full-text entities

- **Genes:** Alb (albumin) [NCBI Gene 11657] {aka Alb-1, Alb1, BCL001, BCL002, BPL001}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, PTPRF (protein tyrosine phosphatase receptor type F) [NCBI Gene 5792] {aka BNAH2, LAR}, SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IGKV5-2 (immunoglobulin kappa variable 5-2) [NCBI Gene 28907] {aka B2, IGKV52}
- **Diseases:** pyuria (MESH:D011776), infectious (MESH:D003141), ill (MESH:D002908), Sepsis (MESH:D018805), septic shock (MESH:D012772), immune dysregulation (OMIM:614878), hyperlactatemia (MESH:D065906), urinary tract disease (MESH:D014570), cytokine storm (MESH:D000080424), abdominal infections (MESH:D000007), heart failure (MESH:D006333), urinary tract infection (MESH:D014552), CKD (MESH:D012080), infection (MESH:D007239), ischemic heart disease (MESH:D017202), malnutrition (MESH:D044342), hypertension (MESH:D006973), hypoxia (MESH:D000860), pyelonephritis (MESH:D011704), acute respiratory distress syndrome (MESH:D012128), COPD (MESH:D029424), stroke (MESH:D020521), protein-energy malnutrition (MESH:D011502), acute kidney injury (MESH:D058186), Hypoalbuminemia (MESH:D034141), Organ Failure (MESH:D009102), intra-abdominal hypertension (MESH:D059325), DM (MESH:D009223), chronic kidney disease (MESH:D051436), edema (MESH:D004487), bacteriuria (MESH:D001437), Failure (MESH:D051437), diabetes (MESH:D003920), acute coronary syndrome (MESH:D054058), inflammation (MESH:D007249), pulmonary infections (MESH:D012141), trauma (MESH:D014947), critical illness (MESH:D016638), metabolic disturbances (MESH:D024821), hyperlipidemia (MESH:D006949)
- **Chemicals:** Mg (MESH:D008274), glucose (MESH:D005947), calcium (MESH:D002118), PO2 (MESH:C093415), GC (MESH:C057580), urea nitrogen (MESH:C530477), TCO2 (MESH:C561418), carbon dioxide (MESH:D002245), K (MESH:D011188), Na (MESH:D012964), PCO2 (-), VP (MESH:C038467), bilirubin (MESH:D001663), Lactate (MESH:D019344), oxygen (MESH:D010100)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090], Escherichia coli (E. coli, species) [taxon 562]

## Full text

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## Figures

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## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12953085/full.md

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Source: https://tomesphere.com/paper/PMC12953085