Evidence map›Paper›PMID 28176468›Full record

Observational studyProteomics. Clinical applications2017

Correlation of pre-operative plasma protein concentrations in cardiac surgery patients with bleeding outcomes using a targeted quantitative proteomics approach.

Nathan Clendenen, Ashley Tollefson, Monika Dzieciatkowska, Alice Cambiaghi, Manuela Ferrario, Miranda Kroehl, Anirban Banerjee, Angelo D'Alessandro, Kirk C Hansen, Nathaen Weitzel

Abstract readObservational Study
In one paragraph

Observational study in Proteomics. Clinical applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Nathan ClendenenDepartment of Anesthesiology, University of Colorado Denver, Aurora, CO, USA.
Ashley TollefsonDepartment of Anesthesiology, University of Colorado Denver, Aurora, CO, USA.
Monika DzieciatkowskaDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO, USA.
Alice CambiaghiPolitecnico di Milano, Milan, Italy.
Manuela FerrarioPolitecnico di Milano, Milan, Italy.
Miranda KroehlDepartment of Biostatistics and Informatics, University of Colorado Denver, Aurora, CO, USA.
Anirban BanerjeeDepartment of Surgery, University of Colorado Denver, Aurora, CO, USA.
Angelo D'AlessandroDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO, USA.
Kirk C HansenDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO, USA.
Nathaen WeitzelDepartment of Anesthesiology, University of Colorado Denver, Aurora, CO, USA.

Funding

Trauma Reprograms CellsP50GM049222 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI BANERJEE, ANIRBAN · 1993 to 2017
$26.1M
Advanced Methods to Evaluate Extracellular Matrix and Crosslinking in the Tumor MR33CA183685 · NCI · UNIVERSITY OF COLORADO DENVER · PI HANSEN, KIRK C, WEAVER, VALERIE MARIE · 2014 to 2016
$1.1M
LTQ Orbitrap Mass Spectrometer RequestS10RR024599 · NCRR · UNIVERSITY OF COLORADO DENVER · PI HANSEN, KIRK C · 2009 to 2009
$500k
NCI NIH HHS R33 CA183685NCRR NIH HHS S10 RR024599NIGMS NIH HHS P50 GM049222
6 · The paper itself

Abstract

purposeDespite recent advancements in the use of thrombelastography (TEG) in the surgical setting, adequate technology to accurately predict bleeding phenotypes for patients undergoing cardiopulmonary bypass on the basis of non-mechanical parameters is lacking. While basic science and translational studies have provided key mechanistic insights about the protein components of coagulation cascades and regulatory mediators of hemostasis and fibrinolysis, targeted protein assays are still missing and the association of protein profiles to bleeding phenotypes and TEG readouts have yet to be discovered.

objectiveTo identify protein biomarkers of bleeding phenotypes of cardiopulmonary bypass patients in pre-operative plasma. EXPERIMENTAL

designWe applied a targeted proteomics approach to quantify 123 plasma proteins from 23 patients undergoing cardiopulmonary bypass (CPB) and sternotomy. We then correlated these measurements to bleeding outcomes and TEG parameters, associated with speed of clot formation and strength.

resultsIn this pilot study, we demonstrate the feasibility of protein quantitation as a viable strategy to predict low versus high bleeding phenotypes (loss of < or > than 20% of estimated blood volume, calculated as 70 mL/kg for BMI<29.9, 60 mL/kg for BMI = 30-39.9, and 50 mL/kg for BMI>40. Statistical elaborations highlighted a core set of proteins showing significant correlations to either total blood loss or TEG R/MA parameters. CONCLUSION AND CLINICAL RELEVANCE: Though prospective verification and validation in larger cohorts will be necessary, this report suggests a potential for targeted quantitative proteomics of pre-operative plasma protein concentrations in the prediction of estimated blood loss following CPB.

Indexed as

Preoperative PeriodProteomicsBlood ProteinsCardiac Surgical ProceduresFemaleHemorrhageHumansMaleBlood ProteinsBleeding outcomesCardiopulmonary bypass surgeryCoagulation cascadeMedical proteomicsTargeted proteomics

Identifiers

PMID28176468
PMCPMC5985972

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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.