Evidence map›Paper›PMID 32259110›Full record

ArticleCritical care explorations2020

The Added Value of Lactate and Lactate Clearance in Prediction of In-Hospital Mortality in Critically Ill Patients With Sepsis.

Meryem Baysan, Gianluca D Baroni, Anna M van Boekel, Ewout W Steyerberg, Mendi S Arbous, Johanna G van der Bom

Abstract read
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Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
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  7. Modern Perspective of Lactate Metabolism.Physiological research · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Lactate and Lactylation in Sepsis: A Comprehensive Review.Journal of inflammation research · 2024
    Review
  12. Observational
  13. Article
  14. Article
  15. The prognostic value of delta-lactate in critically ill children.Journal of paediatrics and child health · 2023
    Article
  16. 28-day sepsis mortality prediction model from combined serial interleukin-6, lactate, and procalcitonin measurements: a retrospective cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Meryem BaysanDepartment of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
Gianluca D BaroniDepartment of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
Anna M van BoekelDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Ewout W SteyerbergDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Mendi S ArbousDepartment of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
Johanna G van der BomDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the added predictive value of lactate and lactate clearance to the Acute Physiology and Chronic Health Evaluation IV model for predicting in-hospital mortality in critically ill patients with sepsis.

designRetrospective observational cohort study.

settingMixed ICU of Leiden University Medical Center, The Netherlands. PATIENTS: Critically ill patients adult patients with sepsis who have been admitted to the ICU of Leiden University Medical Center, The Netherlands, from 2006 to January 2018.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe fitted a baseline model with the Acute Physiology and Chronic Health Evaluation IV predictors and added 13 prespecified combinations of lactate and lactate clearance at 0, 6 and 24 hours after admission to create a set of extended models to compare with the baseline Acute Physiology and Chronic Health Evaluation IV model. Among 603 ICU admissions, 451 patients met the inclusion criteria. A total of 160 patients died in-hospital, of which 106 died in the ICU. Their lactate and lactate clearance measurements were higher at all time points than those of survivors. The Akaike Information Criterion score improved in 10 of 13 prespecified extended models, with best performance for models that included lactate at 24 hours, alone or in combination with lactate at admission or lactate clearance at 24 hours. We compared the observed and predicted probabilities of in-hospital mortality of the baseline Acute Physiology and Chronic Health Evaluation IV model with the best model in our data, lactate at 24 hours added to the Acute Physiology and Chronic Health Evaluation IV model. This resulted in an increase in specificity of 29.9% (95% CI, 18.9-40.9%).

conclusionsLactate measurements at 24 hours after admission add predictive value to the prediction of mortality with Acute Physiology and Chronic Health Evaluation IV among ICU patients with sepsis. External validation is needed to develop extended prediction models.

Indexed as

Acute Physiology and Chronic Health Evaluationcritical carelactic acidprognosissepsisseptic shock

Identifiers

PMID32259110
PMCPMC7098542

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.