Evidence map›Paper›PMID 32150560›Full record

ArticlePloS one2020

Lactate indices as predictors of in-hospital mortality or 90-day survival after admission to an intensive care unit in unselected critically ill patients.

Yusuke Hayashi, Hiroshi Endoh, Natuo Kamimura, Taro Tamakawa, Masakazu Nitta

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

23 citing papers in PubMed.

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  3. Prognostic value of the lactate-based modified cally score in postoperative gastric cancer patients admitted to the ICU.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  13. The prognostic value of delta-lactate in critically ill children.Journal of paediatrics and child health · 2023
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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

5 authors.

Yusuke HayashiAdvanced Emergency and Critical Care Center, Niigata University Medical & Dental Hospital, Niigata City, Niigata, Japan.
Hiroshi EndohAdvanced Emergency and Critical Care Center, Niigata University Medical & Dental Hospital, Niigata City, Niigata, Japan.ORCID 0000-0003-2832-013X
Natuo KamimuraAdvanced Emergency and Critical Care Center, Niigata University Medical & Dental Hospital, Niigata City, Niigata, Japan.
Taro TamakawaAdvanced Emergency and Critical Care Center, Niigata University Medical & Dental Hospital, Niigata City, Niigata, Japan.
Masakazu NittaAdvanced Emergency and Critical Care Center, Niigata University Medical & Dental Hospital, Niigata City, Niigata, Japan.ORCID 0000-0002-7195-5547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe performed an exclusive study to investigate the associations between a total of 23 lactate-related indices during the first 24h in an intensive care unit (ICU) and in-hospital mortality.

methodsNine static and 14 dynamic lactate indices, including changes in lactate concentrations (Δ Lac) and slope (linear regression coefficient), were calculated from individual critically ill patient data extracted from the Multiparameter Intelligent Monitoring for Intensive Care (MIMIC) III database.

resultsData from a total of 781 ICU patients were extracted, consisted of 523 survivors and 258 non-survivors. The in-hospital mortality rate for this cohort was 33.0%. A multivariate logistic regression model identified maximal lactate concentration at 24h after ICU admission (max lactate at T24) as a significant predictor of in-hospital mortality (odds ratio = 1.431, 95% confidence interval [CI] = 1.278-1.604, p<0.001) after adjusting for predefined confounders (age, gender, sepsis, Elixhauser comorbidity score, mechanical ventilation, renal replacement therapy, vasopressors, ICU severity scores). Area under curve (AUC) for max lactate at T24 was larger (AUC = 0.776, 95% CI = 0.740-0.812) than other indices (p<0.001), comparable to an APACHE III score of 0.771. When combining max lactate at T24 with APACHE III, the AUC was increased to 0.815 (95% CI:0.783-0.847). The sensitivity, specificity, and positive and negative predictive values for the cut-off value of 3.05 mmol/L were 64.3%, 77.4%, 58.5%, and 81.5%, respectively. Kaplan-Myer survival curves of the max lactate at T24 for 90-day survival after admission to ICU demonstrated a significant difference according to the cut-off value (p<0.001).

conclusionsThese data indicate that the maximal arterial lactate concentration at T24 is a robust predictor of in-hospital mortality as well as 90-day survival in unselected ICU patients with predictive ability as comparable with APACHE III score.

Indexed as

Hospital MortalityAgedAPACHEBiomarkersCohort StudiesComorbidityCritical IllnessFemaleHospitalizationHumansIntensive Care UnitsLactic AcidMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersLactic Acid

Identifiers

PMID32150560
PMCPMC7062275

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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.