Evidence map›Paper›PMID 29675023›Full record

Observational studyFrontiers in immunology2018

Increased Plasma Levels of Danger-Associated Molecular Patterns Are Associated With Immune Suppression and Postoperative Infections in Patients Undergoing Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy.

Guus P Leijte, Hettie Custers, Jelle Gerretsen, Amon Heijne, Johannes Roth, Thomas Vogl, Gert J Scheffer, Peter Pickkers, Matthijs Kox

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
3.9field-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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 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

9 authors at 3 institutions in 2 countries.

Guus P LeijteDepartment of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Hettie CustersDepartment of Anesthesiology, Radboud University Medical Center, Nijmegen, Netherlands.
Jelle GerretsenDepartment of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Amon HeijneDepartment of Anesthesiology, Radboud University Medical Center, Nijmegen, Netherlands.
Johannes RothInstitute of Immunology, University of Münster, Münster, Germany.
Thomas VoglInstitute of Immunology, University of Münster, Münster, Germany.
Gert J SchefferDepartment of Anesthesiology, Radboud University Medical Center, Nijmegen, Netherlands.
Peter PickkersDepartment of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Matthijs KoxDepartment of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Radboud University Nijmegen · NLRadboud University Medical Center · NLUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Danger-associated molecular patterns (DAMPs) can elicit immune responses and may subsequently induce an immune-suppressed state. Previous work showed that increased plasma levels of DAMPs are associated with immune suppression and increased susceptibility toward infections in trauma patients. Like trauma, major surgical procedures, such as cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC), are also thought to cause profound DAMP release. Furthermore, the incidence of postoperative infections in these patients, ranging from 10 to 36%, is very high compared to that observed in patients undergoing other major surgical procedures. We hypothesized that the double hit of surgical trauma (CRS) in combination with HIPEC causes excessive DAMP release, which in turn contributes to the development of immune suppression. To investigate this, we assessed DAMP release in patients undergoing CRS-HIPEC, and investigated its relationship with immune suppression and postoperative infections. Methods: In 20 patients undergoing CRS-HIPEC, blood was obtained at five time points: just before surgery (baseline), after CRS, after HIPEC, at ICU admission, and 1 day after surgery. Circulating levels of DAMPs [heat shock protein (HSP)70, high mobility group box (HMGB)1, S100A12, S100A8/S100A9, nuclear (n)DNA, mitochondrial (mt)DNA, lactate dehydrogenase (LDH), a marker of unscheduled cell death], and cytokines [tumor necrosis factor (TNF)α, IL-6, IL-8, IL-10, macrophage inflammatory protein (MIP)-1α, MIP-1β, and MCP-1] were measured. The extent of immune suppression was determined by measuring HLA-DR gene expression and Results: Plasma levels of DAMPs (maximum fold increases of HSP70: 2.1 [1.5-2.8], HMGB1: 5.9 [3.2-9.8], S100A8/S100A9: 3.6 [1.8-5.6], S100A12: 2.6 [1.8-4.3], nDNA 3.9 [1.0-10.8], LDH 1.7 [1.2-2.5]), and all measured cytokines increased profoundly following CRS-HIPEC. Evidence of immune suppression was already apparent during the procedure, illustrated by a decrease of HLA-DR expression compared with baseline (0.5-fold [0.3-0.9]) and diminished Conclusion: CRS-HIPEC is associated with profound DAMP release and immune suppression, and plasma HMGB1 levels are related with the occurrence of postoperative infections in these patients.

Indexed as

Cytoreduction Surgical ProceduresHyperthermia, InducedAdultAgedAlarminsCytokinesFemaleHumansImmune ToleranceMaleMiddle AgedYoung AdultAlarminsCytokinescytoreductive surgerydanger-associated molecular patternshigh mobility group box 1HLA-DRhyperthermic intraperitoneal chemotherapyimmune suppressionpostoperative infections

Identifiers

PMID29675023
PMCPMC5895648
OpenAlexW2795462728

What OpenQuestion holds

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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.