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Updated: Feb 28, 2026

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Logarithmically transformed lactate-to-hemoglobin ratio demonstrates a threshold effect on 28-day mortality in
Huang Chen1,2,3,4, Da Ke1,2,3,4, Xiuqin Zheng1,2,3,4
1Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Objective:
To investigate the association between logarithmically transformed lactate-to-hemoglobin ratio (Ln_LHR) and 28-day mortality in sepsis patients, addressing the critical need for reliable prognostic biomarkers in this high-mortality condition.
Methods:
This retrospective cohort study analyzed 20725 adult sepsis patients from the MIMIC-IV database (2008-2019). The primary exposure was Ln_LHR calculated from measurements within 24 hours of ICU admission, while the primary outcome was 28-day all-cause mortality. Covariates included demographics, physiological parameters, severity scores, and interventions. We employed multivariable logistic regression and restricted cubic splines to identify potential non-linear relationships.Finally,mediation analysis was used to assess the factors affecting sepsis mortality in Ln_LHR.
Results:
Elevated Ln_LHR was independently associated with increased 28-day mortality after comprehensive adjustment (OR:1.43, 95% CI:1.35-1.52). We identified a significant threshold effect at Ln_LHR: -0.625, above which mortality risk increased dramatically (OR:3.812, 95% CI:3.131-4.642). Subgroup analyses revealed the predictive efficacy of Ln_LHR exhibited significant variation across various factors, including age, the utilisation of norepinephrine, and the severity score. Mediation analysis revealed that minimum temperature, as a potential mechanism linking Ln_LHR to 28-day mortality, accounted for 9.2% of the total association.
Conclusion:
Ln_LHR may represent a promising, readily available prognostic biomarker for sepsis mortality risk stratification, with a clinically meaningful threshold effect. This composite marker integrates critical pathophysiological information and may enhance risk assessment and guide clinical decision-making in sepsis management.