Evidence map›Paper›PMID 31346819›Full record

ArticleIntensive care medicine experimental2019

Development of a model for anemia of inflammation that is relevant to critical care.

Margit Boshuizen, Robin van Bruggen, Sebastian A Zaat, Marcus J Schultz, Eli Aguilera, Ana Motos, Tarek Senussi, Francesco Antonio Idone, Paolo Pelosi, Antonio Torres and 2 more

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Margit BoshuizenDepartment of Intensive Care Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands. m.boshuizen@amc.nl.ORCID http://orcid.org/0000-0002-2019-9147
Robin van BruggenDepartment of Blood Cell Research, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, 1066, CX, The Netherlands.
Sebastian A ZaatDepartment of Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center, University of Amsterdam, Amsterdam, 1105, AZ, The Netherlands.
Marcus J SchultzDepartment of Intensive Care Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
Eli AguileraDepartment of Pulmonary and Critical Care Medicine, Thorax Institute, Hospital Clínic, 08036, Barcelona, Spain.
Ana MotosDepartment of Pulmonary and Critical Care Medicine, Thorax Institute, Hospital Clínic, 08036, Barcelona, Spain.
Tarek SenussiDepartment of Pulmonary and Critical Care Medicine, Thorax Institute, Hospital Clínic, 08036, Barcelona, Spain.
Francesco Antonio IdoneDepartment of Pulmonary and Critical Care Medicine, Thorax Institute, Hospital Clínic, 08036, Barcelona, Spain.
Paolo PelosiDepartment of Surgical Sciences and Integrated Diagnostics (DISC), San Martino Policlinico Hospital - IRCCS for Oncology, 16132, Genova, Italy.
Antonio TorresDepartment of Pulmonary and Critical Care Medicine, Thorax Institute, Hospital Clínic, 08036, Barcelona, Spain.
Gianluigi Li BassiDepartment of Pulmonary and Critical Care Medicine, Thorax Institute, Hospital Clínic, 08036, Barcelona, Spain.
Nicole P JuffermansDepartment of Intensive Care Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
Hospital Clínic de Barcelona · ESAmsterdam University Medical Centers · NLSanquin · NLAmsterdam UMC Location University of Amsterdam · NL

Funding

Sanquin PPOP-14-31
6 · The paper itself

Abstract

backgroundAnemia of inflammation (AI) is common in critically ill patients. Although this syndrome negatively impacts the outcome of critical illness, understanding of its pathophysiology is limited. Also, new therapies that increase iron availability for erythropoiesis during AI are upcoming. A model of AI induced by bacterial infections that are relevant for the critically ill is currently not available. This paper describes the development of an animal model for AI that is relevant for critical care research.

resultsIn experiments with rats, the rats were inoculated either repeatedly or with a slow release of Streptococcus pneumoniae or Pseudomonas aeruginosa. Rats became ill, but their hemoglobin levels remained stable. The use of a higher dose of bacteria resulted in a lethal model. Then, we turned to a model with longer disease duration, using pigs that were supported by mechanical ventilation after inoculation with P. aeruginosa. The pigs became septic 12 to 24 h after inoculation, with a statistically significant decrease in mean arterial pressure and base excess, while heart rate tended to increase. Pigs needed resuscitation and vasopressor therapy to maintain a mean arterial pressure > 60 mmHg. After 72 h, the pigs developed anemia (baseline 9.9 g/dl vs. 72 h, 7.6 g/dl, p = 0.01), characterized by statistically significant decreased iron levels, decreased transferrin saturation, and increased ferritin. Hepcidin levels tended to increase and transferrin levels tended to decrease.

conclusionsUsing pathogens commonly involved in pulmonary sepsis, AI could not be induced in rats. Conversely, in pigs, P. aeruginosa induced pulmonary sepsis with concomitant AI. This AI model can be applied to study the pathophysiology of AI in the critically ill and to investigate the effectivity and toxicity of new therapies that aim to increase iron availability.

Indexed as

Anemia of inflammationAnimal modelICUInfectionIron

Identifiers

PMID31346819
PMCPMC6658638
OpenAlexW2963235543

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.