Association between blood lactate levels, Sequential Organ Failure Assessment subscores, and 28-day mortality during early and late intensive care unit stay: A retrospective observational study*
Abstract
Objectives To evaluate whether the level and duration of increased blood lactate levels are associated with daily Sequential Organ Failure Assessment (SOFA) scores and organ subscores and to evaluate these associations during the early and late phases of the intensive care unit stay. Design Retrospective observational study. Setting Mixed intensive care unit of a university hospital. Patients 134 heterogeneous intensive care unit patients. Interventions None. Measurements and main results We calculated the area under the lactate curve above 2.0 mmol/L (lactateAUC>2). Daily SOFA scores were collected during the first 28 days of intensive care unit stay to calculate initial (day 1), maximal, total and mean scores. Daily lactateAUC>2 values were related to both daily SOFA scores and organ subscores using mixed-model analysis of variance. This was also done separately during the early ( 2.75 days) phase of the intensive care unit stay.Compared with normolactatemic patients (n = 78), all median SOFA variables were higher in patients with hyperlactatemia (n = 56) (initial SOFA: 9 [interquartile range 4-12] vs. 4 [2-7]; maximal SOFA: 10 [5-13] vs. 5 [2-9]; total SOFA: 28 [10-70] vs. 9 [3-41]; mean SOFA: 7 [4-10] vs. 4 [2-6], all p 2 and daily SOFA was an increase of 0.62 SOFA-points per 1 day.mmol/L of lactateAUC>2 (95% confidence interval, 0.41-0.81, p 2 and SOFA was 1.01 (95% confidence interval, 0.53-1.50, p 2. Conclusions Blood lactate levels were strongly related to SOFA scores…
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Elevated serum lactate levels were more frequently seen in BSI patients, even prior to culture confirmation.
“elevated serum lactate levels—a well-established marker of tissue hypoperfusion and cellular metabolic stress—were more frequently seen in BSI patients, even prior to culture confirmation [20].”
From Early prediction of bloodstream infections in ICU patients using machine learning methods based on routine laboratory parameters (2025) · cites this paper as [20]
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Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., Reinhart, C. K., Suter, P. M., & Thijs, L. G. (1996) · Intensive Care Medicine · doi:10.1007/bf01709751 · Cited by 11,674 · see citing works
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Clinical use of lactate monitoring in critically ill patients
Bakker, J., Nijsten, M. W., & Jansen, T. C. (2013) · Annals of Intensive Care · doi:10.1186/2110-5820-3-12 · Cited by 473 · see citing works
Self-citationChen, Y., Chen, Z., Xu, D., Li, S., Chen, F., Yu, X., Cai, S., Zeng, C., Ye, X., Yang, J., et al. (2025) · BMC Infectious Diseases · doi:10.1186/s12879-025-11580-4 · Cited by 4 · see citing works
- Authors
- Jansen, T. C., van Bommel, J., Woodward, R., Mulder, P. G. H., & Bakker, J.
- Affiliations
- Erasmus MC (NL)
- Venue
- Critical Care Medicine
- Published
- 2009-08
- Volume
- 37
- Issue
- 8
- Pages
- 2369-2374
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W2133635544
- Cited by
- 177
- References
- 1
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 3 · 2023: 9 · 2022: 18 · 2021: 10 · 2020: 16 · 2019: 6 · 2018: 4 · 2017: 11 · 2016: 11 · 2015: 11 · 2014: 13 · 2013: 14 · 2012: 12
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Critical Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Keywords
- blood lactate, hyperlactatemia, SOFA score, organ failure, 28-day mortality, ICU length of stay, critically ill patients, prognostic factors, mortality prediction, lactate clearance
- MeSH terms
- Aged, Female, Humans, Intensive Care Units, Male, Middle Aged, Multiple Organ Failure, Netherlands, Predictive Value of Tests, Retrospective Studies, ROC Curve, Severity of Illness Index, Biomarkers, Survival Analysis, Hospital Mortality, Lactic Acid, Early Diagnosis
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