Evidence map›Paper›PMID 26448617›Full record

Observational studyCritical care medicine2015

Mitochondrial DNA and Toll-Like Receptor-9 Are Associated With Mortality in Critically Ill Patients.

Konstantin A Krychtiuk, Sarah Ruhittel, Philipp J Hohensinner, Lorenz Koller, Christoph Kaun, Max Lenz, Benedikt Bauer, Lisa Wutzlhofer, Dominik F Draxler, Gerald Maurer and 5 more

Registry-linked trialAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05441787 (Comparison of Inflammatory Markers), which is not on this map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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.

NCT05441787 completednot on this mapstarted 2022, after this paper: background citation

Comparison of Inflammatory Markers (Serum Mitochondrial DNA, Delta Neutrophil Index, Inflammatory Cytokines) According to the Injury Severity, and Development of Risk Prediction Model Using Inflammatory Markers for Trauma Patients

TypeobservationalSponsorWonju Severance Christian HospitalRan2022 to 2024Enrolled89ConditionsTrauma Injury, Trauma, Multiple
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  4. Prasugrel in critically ill patients.Thrombosis and haemostasis · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Konstantin A Krychtiuk1Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria. 2Ludwig Boltzmann Cluster for Cardiovascular Research, Vienna, Austria. 33rd Medical Department, Wilhelminen Hospital, Vienna, Austria. 4Core Facilities, Medical University of Vienna, Vienna, Austria.
Sarah Ruhittel
Philipp J Hohensinner
Lorenz Koller
Christoph Kaun
Max Lenz
Benedikt Bauer
Lisa Wutzlhofer
Dominik F Draxler
Gerald Maurer
Kurt Huber
Johann Wojta
Gottfried Heinz
Alexander Niessner
Walter S Speidl
Medical University of Vienna · ATLudwig Boltzmann Cluster for Cardiovascular Research · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite underlying pathologies leading to ICU admittance are heterogeneous, many patients develop a systemic inflammatory response syndrome often in the absence of microbial pathogens. Mitochondrial DNA that shows similarities to bacterial DNA may be released after tissue damage and activates the innate immune system by binding to toll-like receptor-9 on immune cells. The aim of this study was to analyze whether levels of mitochondrial DNA are associated with 30-day survival and whether this predictive value is modified by the expression of its receptor toll-like receptor-9.

designSingle-center, prospective, observational study.

settingA tertiary ICU in a university hospital. PATIENTS: Two hundred twenty-eight consecutive patients admitted to a medical ICU between August 2012 and August 2013.

interventionsNone. MEASUREMENTS AND MAIN

resultsBlood was taken within 24 hours after ICU admission, and the levels of circulating mitochondrial DNA were quantified by real-time polymerase chain reaction. Toll-like receptor-9 expression in monocytes was measured by flow cytometry. Median acute physiology and chronic health evaluation II score was 20, and 30-day mortality was 25%. Median mitochondrial DNA levels at admission were significantly higher in nonsurvivors when compared with survivors (26.9, interquartile range = 11.2-60.6 ng/mL vs 19.7, interquartile range = 9.5-34.8 ng/mL; p < 0.05). Patients with plasma levels of mitochondrial DNA in the highest quartile (mitochondrial DNA > 38.2 ng/mL) had a 2.6-fold higher risk (p < 0.001) of dying, independently of age, gender, diagnosis, and acute physiology and chronic health evaluation II score. Mitochondrial DNA improved the c-statistic of acute physiology and chronic health evaluation II score (p < 0.05) and showed enhancement in individual risk prediction indicated by a net reclassification improvement of 32.3% (p < 0.05). Stratification of patients according to toll-like receptor-9 expression above/below median demonstrated that only patients with high expression of toll-like receptor-9 showed an increased risk associated with increased mitochondrial DNA levels (odds ratio, 2.7; p < 0.01), whereas circulating mitochondrial DNA was not associated with mortality in patients with low toll-like receptor-9 expression (odds ratio, 1.1; p = 0.98).

conclusionsCirculating levels of mitochondrial DNA at ICU admission predict mortality in critically ill patients. This association was in particular present in patients with elevated toll-like receptor-9 expression.

Indexed as

AgedAge FactorsAPACHECritical IllnessDNA, MitochondrialFemaleFlow CytometryHospital MortalityHospitals, UniversityHumansIntensive Care UnitsMaleMiddle AgedOdds RatioPredictive Value of TestsProspective StudiesDNA, MitochondrialToll-Like Receptor 9

Identifiers

PMID26448617
OpenAlexW2258119207

What OpenQuestion holds

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Registered trials

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.