Evidence map›Paper›PMID 34625640›Full record

ArticleScientific reports2021

Understanding critically ill sepsis patients with normal serum lactate levels: results from U.S. and European ICU cohorts.

Christopher M Sauer, Josep Gómez, Manuel Ruiz Botella, David R Ziehr, William M Oldham, Giovana Gavidia, Alejandro Rodríguez, Paul Elbers, Armand Girbes, Maria Bodi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
3.8field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 40 citations in OpenAlex.

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  19. 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
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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

11 authors at 5 institutions in 3 countries.

Christopher M Sauer *Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Josep Gómez *Department of Intensive Care Medicine, University Hospital of Tarragona Joan XXIII, Dr. Mallafrè Guasch 4, 43005, Tarragona, Spain. josep.goal@gmail.com.
Manuel Ruiz BotellaDepartment of Intensive Care Medicine, University Hospital of Tarragona Joan XXIII, Dr. Mallafrè Guasch 4, 43005, Tarragona, Spain.
David R ZiehrDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
William M OldhamHarvard Medical School, Boston, MA, USA.
Giovana GavidiaDepartment of e-Health, Eurecat, Technological Center of Catalonia, Barcelona, Spain.
Alejandro RodríguezDepartment of Intensive Care Medicine, University Hospital of Tarragona Joan XXIII, Dr. Mallafrè Guasch 4, 43005, Tarragona, Spain.
Paul ElbersDepartment of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Armand GirbesDepartment of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Maria BodiDepartment of Intensive Care Medicine, University Hospital of Tarragona Joan XXIII, Dr. Mallafrè Guasch 4, 43005, Tarragona, Spain.
Leo Anthony CeliLaboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Institut d'Investigació Sanitària Pere Virgili · ESVrije Universiteit Amsterdam · NLHarvard University · USBrigham and Women's Hospital · USHospital Universitari Joan XXIII de Tarragona · ES

Funding

Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB017205NIBIB NIH HHS R01 EB017205-01A1
6 · The paper itself

Abstract

While serum lactate level is a predictor of poor clinical outcomes among critically ill patients with sepsis, many have normal serum lactate. A better understanding of this discordance may help differentiate sepsis phenotypes and offer clues to sepsis pathophysiology. Three intensive care unit datasets were utilized. Adult sepsis patients in the highest quartile of illness severity scores were identified. Logistic regression, random forests, and partial least square models were built for each data set. Features differentiating patients with normal/high serum lactate on day 1 were reported. To exclude that differences between the groups were due to potential confounding by pre-resuscitation hyperlactatemia, the analyses were repeated for day 2. Of 4861 patients included, 47% had normal lactate levels. Patients with normal serum lactate levels had lower 28-day mortality rates than those with high lactate levels (17% versus 40%) despite comparable physiologic phenotypes. While performance varied between datasets, logistic regression consistently performed best (area under the receiver operator curve 87-99%). The variables most strongly associated with normal serum lactate were serum bicarbonate, chloride, and pulmonary disease, while serum sodium, AST and liver disease were associated with high serum lactate. Future studies should confirm these findings and establish the underlying pathophysiological mechanisms, thus disentangling association and causation.

Indexed as

Severity of Illness IndexAgedCritical IllnessEuropeFemaleHospital MortalityHumansHyperlactatemiaIntensive Care UnitsLactic AcidMalePrognosisRetrospective StudiesSepsisSurvival RateUnited StatesLactic Acid

Identifiers

PMID34625640
PMCPMC8501011
OpenAlexW3157618458

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.