Evidence map›Paper›PMID 26363916›Full record

ArticleLung2015

MR-proADM Predicts Exercise Capacity and Survival Superior to Other Biomarkers in PH.

Martin Kolditz, Hans-Jürgen Seyfarth, Heinrike Wilkens, Ralf Ewert, Tom Bollmann, Christiane Dinter, Sabine Hertel, Hans Klose, Christian Opitz, Ekkehard Grünig and 2 more

Abstract read
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In one paragraph

Article in Lung, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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  4. Observational
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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.

Martin KolditzDivision of Pulmonology, Medical Department I, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307, Dresden, Germany. martin.kolditz@uniklinikum-dresden.de.
Hans-Jürgen SeyfarthDepartment of Pneumology, University Hospital Leipzig, Leipzig, Germany.
Heinrike WilkensDepartment of Internal Medicine V, Saarland University Medical Center, Homburg, Saarland, Germany.
Ralf EwertDepartment of Internal Medicine B, Ernst-Moritz-Arndt Universität Greifswald, Greifswald, Germany.
Tom BollmannDepartment of Internal Medicine B, Ernst-Moritz-Arndt Universität Greifswald, Greifswald, Germany.
Christiane DinterBRAHMS GmbH (Thermo Fisher Scientific), Hennigsdorf, Germany.
Sabine HertelBRAHMS GmbH (Thermo Fisher Scientific), Hennigsdorf, Germany.
Hans KloseDepartment of Pneumology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Christian OpitzDepartment of Internal Medicine/Cardiology, DRK Kliniken Berlin Köpenick, Berlin, Germany.
Ekkehard GrünigCenter for Pulmonary Hypertension at Thoraxclinic Heidelberg, Heidelberg, Germany.
Gert HöffkenDivision of Pulmonology, Medical Department I, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.
Michael HalankDivision of Pulmonology, Medical Department I, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBesides the established biomarker NT-proBNP, the new cardiovascular biomarkers MR-proANP, MR-proADM, Copeptin, and CT-proET-1 are promising to evaluate hemodynamics, exercise parameters, and prognosis in patients with pulmonary hypertension (PH).

methods125 consecutive patients with pulmonary arterial hypertension (PAH) or chronic thromboembolic pulmonary hypertension (CTEPH) were prospectively enrolled at five German PH centers. Blood samples were taken during right heart catheterization. The primary study endpoint was the correlation between biomarkers and hemodynamic and exercise parameters. As secondary endpoint, prediction of 1-year mortality was evaluated.

resultsMR-proADM showed the strongest correlations with 6MWD and VO2peak, whereas NT-proBNP showed the strongest correlations with PVR, PAPm, and CI. In multivariate analysis, only MR-proADM was independently associated with exercise variables, whereas only NT-proBNP independently predicted hemodynamic parameters. All biomarkers were associated with 1-year survival, with MR-proADM showing the highest C index of 0.78. In multivariate analysis, MR-proADM predicted survival independent of age, 6-MWD, CI, RAP, and NT-proBNP. The cut-off of 1.08 nmol/l provided a sensitivity of 83 % and specificity of 66 %.

conclusionsDifferent biomarkers reflect distinctive disease aspects in PH. NT-proBNP best predicts hemodynamic impairment while MR-proADM strongly correlates with exercise capacity. Additionally, MR-proADM represents a promising new marker to evaluate prognosis in patients with PAH and CTEPH. Multi-marker strategies should further be evaluated.

Indexed as

AdrenomedullinAgedAtrial Natriuretic FactorBiomarkersBlood PressureChronic DiseaseEndothelin-1Exercise ToleranceFemaleGermanyGlycopeptidesHeart AtriaHumansHypertension, PulmonaryMaleMiddle AgedAdrenomedullinAtrial Natriuretic FactorBiomarkerscopeptinsC-terminal proendothelin-1Endothelin-1Glycopeptidesmid-regional pro-adrenomedullin, humanmidregional pro-atrial natriuretic peptide, humanNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Protein PrecursorsBiomarkerExercise capacityPrognosisPulmonary hypertension

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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.