Evidence map›Paper›PMID 30478622›Full record

ArticleIntensive care medicine2019

Prognostic relevance of serum lactate kinetics in critically ill patients.

Maryna Masyuk, Bernhard Wernly, Michael Lichtenauer, Marcus Franz, Bjoern Kabisch, Johanna M Muessig, Georg Zimmermann, Alexander Lauten, P Christian Schulze, Uta C Hoppe and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Intensive care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–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

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  9. Use of COAnnals of intensive care · 2025
    Review
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  15. Predictive Value of Normalized Lactate Load for Patients with Acute Type A Aortic Dissection: Based on the MIMIC-IV Database.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Maryna MasyukDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
Bernhard WernlyDepartment of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University, Müllner Hauptstraße 48, 5020, Salzburg, Austria.
Michael LichtenauerDepartment of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University, Müllner Hauptstraße 48, 5020, Salzburg, Austria.
Marcus FranzDepartment of Cardiology, Clinic of Internal Medicine I, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Bjoern KabischDepartment of Cardiology, Clinic of Internal Medicine I, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Johanna M MuessigDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
Georg ZimmermannDepartment of Neurology, Christian Doppler Clinic and Centre for Cognitive Neuroscience, Paracelsus Medical University, Salzburg, Austria.
Alexander LautenDepartment of Cardiology, Charité, University Hospital Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
P Christian SchulzeDepartment of Cardiology, Clinic of Internal Medicine I, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Uta C HoppeDepartment of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University, Müllner Hauptstraße 48, 5020, Salzburg, Austria.
Malte KelmDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
Jan BakkerDepartment of Intensive Care Adults, Erasmus MC University Medical Center, 3000 CA, Rotterdam, The Netherlands.
Christian JungDivision of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany. christian.jung@med.uni-duesseldorf.de.

Funding

Deutsche Forschungsgemeinschaft GEROK Scholarship by Collaborative Research Center 1116
6 · The paper itself

Abstract

purposeChanges of lactate concentration over time were reported to be associated with survival in septic patients. We aimed to evaluate delta-lactate (ΔLac) 24 h after admission (Δ24Lac) to an intensive care unit (ICU) in critically ill patients for short- and long-term prognostic relevance.

methodsIn total, 26,285 lactate measurements of 2191 patients admitted to a German ICU were analyzed. Inclusion criterion was a lactate concentration at admission above 2.0 mmol/L. Maximum lactate concentrations of day 1 and day 2 were used to calculate Δ24Lac. Follow-up of patients was performed retrospectively. Association of Δ24Lac and both in-hospital and long-term mortality were investigated. An optimal cut-off was calculated by means of the Youden index.

resultsPatients with lower Δ24Lac were of similar age, but clinically sicker. As continuous variable, higher Δ24Lac was associated with decreased in-hospital mortality (per 1% Δ24Lac; HR 0.987 95%CI 0.985-0.990; p < 0.001) and an optimal Δ24Lac cut-off was calculated at 19%. Δ24Lac ≤ 19% was associated with both increased in-hospital (15% vs 43%; OR 4.11; 95%CI 3.23-5.21; p < 0.001) and long-term mortality (HR 1.54 95%CI 1.28-1.87; p < 0.001), even after correction for APACHE II, need for catecholamines and intubation. We matched 256 patients with Δ24Lac ≤ 19% to case-controls > 19% corrected for APACHE II scores, baseline lactate level and sex: Δ24Lac ≤ 19% remained associated with lower in-hospital and long-term survival.

conclusionsLower Δ24Lac was robustly associated with adverse outcome in critically ill patients, even after correction for confounders. Δ24Lac might constitute an independent, easily available and important parameter for risk stratification in the critically ill.

Indexed as

KineticsPrognosisAgedAnalysis of VarianceAPACHECohort StudiesCritical IllnessFemaleGermanyHumansLactic AcidLogistic ModelsMaleMiddle AgedSeverity of Illness IndexSimplified Acute Physiology ScoreLactic AcidCritically illDelta-lactateICULactateRisk scoreRisk stratification

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Registered trials

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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.