Evidence map›Paper›PMID 26368980›Full record

ArticlePloS one2015

Midregional-proAtrial Natriuretic Peptide and High Sensitive Troponin T Strongly Predict Adverse Outcome in Patients Undergoing Percutaneous Repair of Mitral Valve Regurgitation.

Jochen Wöhrle, Mahir Karakas, Ulrike Trepte, Julia Seeger, Birgid Gonska, Wolfgang Koenig, Wolfgang Rottbauer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Secondary mitral regurgitation-Insights from microRNA assessment.European journal of clinical investigation · 2021
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  3. Review
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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

7 authors at 1 institution in 1 country.

Jochen WöhrleDepartment of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.
Mahir KarakasDepartment of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.
Ulrike TrepteDepartment of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.
Julia SeegerDepartment of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.
Birgid GonskaDepartment of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.
Wolfgang KoenigDepartment of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.
Wolfgang RottbauerDepartment of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.
Universität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is not known whether biomarkers of hemodynamic stress, myocardial necrosis, and renal function might predict adverse outcome in patients undergoing percutaneous repair of severe mitral valve insufficiency. Thus, we aimed to assess the predictive value of various established and emerging biomarkers for major adverse cardiovascular events (MACE) in these patients.

methodsThirty-four patients with symptomatic severe mitral valve insufficiency with a mean STS-Score for mortality of 12.6% and a mean logistic EuroSCORE of 19.7% undergoing MitraClip therapy were prospectively included in this study. Plasma concentrations of mid regional-proatrial natriuretic peptide (MR-proANP), Cystatin C, high-sensitive C-reactive protein (hsCRP), high-sensitive troponin T (hsTnT), N-terminal B-type natriuretic peptide (NT-proBNP), galectin-3, and soluble ST-2 (interleukin 1 receptor-like 1) were measured directly before procedure. MACE was defined as cardiovascular death and hospitalization for heart failure (HF).

resultsDuring a median follow-up of 211 days (interquartile range 133 to 333 days), 9 patients (26.5%) experienced MACE (death: 7 patients, rehospitalization for HF: 2 patients). Thirty day MACE-rate was 5.9% (death: 2 patients, no rehospitalization for HF). Baseline concentrations of hsTnT (Median 92.6 vs 25.2 ng/L), NT-proBNP (Median 11251 vs 1974 pg/mL) and MR-proANP (Median 755.6 vs 318.3 pmol/L, all p<0.001) were clearly higher in those experiencing an event vs event-free patients, while other clinical variables including STS-Score and logistic EuroSCORE did not differ significantly. In Kaplan-Meier analyses, NT-proBNP and in particular hsTnT and MR-proANP above the median discriminated between those experiencing an event vs event-free patients. This was further corroborated by C-statistics where areas under the ROC curve for prediction of MACE using the respective median values were 0.960 for MR-proANP, 0.907 for NT-proBNP, and 0.822 for hsTnT.

conclusionsMR-proANP and hsTnT strongly predict cardiovascular death and rehospitalization for HF in patients undergoing percutaneous repair of mitral valve insufficiency. Both markers might be useful components in new scoring systems to better predict short- and potentially long-term mortality and morbidity after MitraClip procedure.

Indexed as

AgedAged, 80 and overAtrial Natriuretic FactorBiomarkersC-Reactive ProteinCystatin CGalectin 3Heart Valve Prosthesis ImplantationHospitalizationHumansInterleukin-1 Receptor-Like 1 ProteinMitral Valve InsufficiencyNatriuretic Peptide, BrainPeptide FragmentsProspective StudiesReceptors, Cell SurfaceAtrial Natriuretic FactorBiomarkersC-Reactive ProteinCystatin CGalectin 3IL1RL1 protein, humanInterleukin-1 Receptor-Like 1 Proteinmidregional pro-atrial natriuretic peptide, humanNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Receptors, Cell SurfaceTroponin T

Identifiers

PMID26368980
PMCPMC4569129
OpenAlexW2279607963

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.