Evidence map›Paper›PMID 34514425›Full record

ArticleCritical care explorations2021

Biomarkers for Adverse Lung Injury Following Pediatric Cardiopulmonary Bypass.

Ahmed Asfari, Kristal M Hock, Jonathan W Byrnes, Santiago Borasino, Brian A Halloran, James A Mobley, Namasivayam Ambalavanan

Open access · goldAbstract readCase Reports
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 10 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

7 authors at 1 institution in 1 country.

Ahmed AsfariDepartment of Pediatric Cardiology, Section of Cardiac Critical Care, University of Alabama at Birmingham, Birmingham, AL.
Kristal M HockDepartment of Pediatric Cardiology, Section of Cardiac Critical Care, University of Alabama at Birmingham, Birmingham, AL.
Jonathan W ByrnesDepartment of Pediatric Cardiology, Section of Cardiac Critical Care, University of Alabama at Birmingham, Birmingham, AL.
Santiago BorasinoDepartment of Pediatric Cardiology, Section of Cardiac Critical Care, University of Alabama at Birmingham, Birmingham, AL.
Brian A HalloranDepartment of Pediatrics, University of Alabama at Birmingham, Birmingham, AL.
James A MobleyDepartment of Anesthesiology and Perioperative Medicine, Division of Molecular and Translational Biomedicine, University of Alabama at Birmingham, Birmingham, AL.
Namasivayam AmbalavananDepartment of Pediatrics, Division of Neonatology, University of Alabama at Birmingham, Birmingham, AL.
University of Alabama at Birmingham · US

Funding

STOP BPDR01HL129907 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AMBALAVANAN, NAMASIVAYAM · 2015 to 2017
$1.1M
NHLBI NIH HHS R01 HL129907
6 · The paper itself

Abstract

Cardiopulmonary bypass triggers systemic inflammation, resulting in lung injury, and frequently leads to prolonged mechanical ventilation. Biomarkers of systemic inflammation are required to predict the risk of such complications. We hypothesize that specific serum proteins can be used as biomarkers to predict the severity of lung injury following cardiac surgery.

designRetrospective chart review study.

settingClinical variables were collected and used in conjuncture with unbiased proteomic analysis using mass spectrometry that was performed on frozen plasma samples from a study group (patients with mechanical ventilation > 48 hr post surgery) and a control group (patients with mechanical ventilation < 48 hr post surgery). SUBJECTS: Subjects included were infants who underwent cardiac surgery with similar complexity (Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery 3 or 4) using cardiopulmonary bypass. Patients in both groups were matched for their weight, age, and duration of cardiopulmonary bypass.

interventionNone. MEASUREMENTS AND MAIN

resultsFour-hundred eighty-three proteins were identified (99% minimum confidence and two peptides minimum, protein false discovery rate 0.1%) on proteomic analysis of four control and four study patients at precardiopulmonary bypass, 0, and 48 hours postcardiopulmonary bypass samples. Thirty-six of 178 proteins were significantly different (≥ 1.5-fold;

conclusionsMultiple proteomic biomarkers were associated with worse respiratory outcomes. Precardiopulmonary bypass biomarkers might indicate risk factors (e.g., abnormalities of coagulation), whereas those identified at 0 hour and post cardiopulmonary bypass may reflect mechanisms of ongoing pathobiology.

Indexed as

biomarkerscardiopulmonary bypasscongenital cardiaclung injurypediatricsproteomics

Identifiers

PMID34514425
PMCPMC8425845
OpenAlexW3198027107

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.