Evidence map›Paper›PMID 31952855›Full record

ArticleInternational journal of cardiology2020

Noninvasive biomarker-based risk stratification for development of new onset atrial fibrillation after coronary artery bypass surgery.

Farhan Rizvi, Mahek Mirza, Susan Olet, Melissa Albrecht, Stacie Edwards, Larisa Emelyanova, David Kress, Gracious R Ross, Ekhson Holmuhamedov, A Jamil Tajik and 2 more

Open access · greenAbstract read
In one paragraph

Article in International journal of cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Strain Echocardiography to Predict Postoperative Atrial Fibrillation.International journal of molecular sciences · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Farhan RizviCenter for Integrative Research on Cardiovascular Aging (CIRCA), Advocate Aurora Research Institute, 960 N. 12th Street, Milwaukee, WI 53233, USA. Electronic address: publishing154@aurora.org.
Mahek MirzaCenter for Integrative Research on Cardiovascular Aging (CIRCA), Advocate Aurora Research Institute, 960 N. 12th Street, Milwaukee, WI 53233, USA.
Susan OletPatient Centered Research, Advocate Aurora Research Institute, 960 N. 12th Street, Suite 4120, Milwaukee, WI 53233, USA.
Melissa AlbrechtAurora St. Luke's Medical Center School of Diagnostic Sonography, Advocate Aurora Health, 2801 W. Kinnickinnic River Parkway, Ste. 880, Milwaukee, WI 53215, USA.
Stacie EdwardsCenter for Integrative Research on Cardiovascular Aging (CIRCA), Advocate Aurora Research Institute, 960 N. 12th Street, Milwaukee, WI 53233, USA.
Larisa EmelyanovaCenter for Integrative Research on Cardiovascular Aging (CIRCA), Advocate Aurora Research Institute, 960 N. 12th Street, Milwaukee, WI 53233, USA.
David KressAurora Cardiovascular and Thoracic Services, Advocate Aurora Health, 2801 W. Kinnickinnic River Parkway, Ste. 880, Milwaukee, WI 53215, USA; and.
Gracious R RossCenter for Integrative Research on Cardiovascular Aging (CIRCA), Advocate Aurora Research Institute, 960 N. 12th Street, Milwaukee, WI 53233, USA.
Ekhson HolmuhamedovCenter for Integrative Research on Cardiovascular Aging (CIRCA), Advocate Aurora Research Institute, 960 N. 12th Street, Milwaukee, WI 53233, USA.
A Jamil TajikAurora Cardiovascular and Thoracic Services, Advocate Aurora Health, 2801 W. Kinnickinnic River Parkway, Ste. 880, Milwaukee, WI 53215, USA; and.
Bijoy K KhandheriaAurora Cardiovascular and Thoracic Services, Advocate Aurora Health, 2801 W. Kinnickinnic River Parkway, Ste. 880, Milwaukee, WI 53215, USA; and.
Arshad JahangirCenter for Integrative Research on Cardiovascular Aging (CIRCA), Advocate Aurora Research Institute, 960 N. 12th Street, Milwaukee, WI 53233, USA; Aurora Cardiovascular and Thoracic Services, Advocate Aurora Health, 2801 W. Kinnickinnic River Parkway, Ste. 880, Milwaukee, WI 53215, USA; and; Center for Advanced Atrial Fibrillation Therapies, Advocate Aurora Health, 2801 W. Kinnickinnic River Parkway, Suite 777, Milwaukee, WI 53215, USA. Electronic address: publishing44@aurora.org.
Aurora Health Care · USAurora St. Luke's Medical Center · US

Funding

Mitochondrial Dysfunction and Susceptibility to Atrial Fibrillation in the ElderlR01HL101240 · NHLBI · MAYO CLINIC ARIZONA · PI JAHANGIR, ARSHAD · 2010 to 2013
$2.3M
NHLBI NIH HHS R01 HL101240
6 · The paper itself

Abstract

backgroundPostoperative atrial fibrillation (PoAF) is a common complication after cardiac surgery. A pre-existing atrial substrate appears to be important in postoperative development of dysrhythmia, but its preoperative estimation is challenging. We tested the hypothesis that a combination of clinical predictors, noninvasive surrogate markers for atrial fibrosis defining abnormal left atrial (LA) mechanics, and biomarkers of collagen turnover is superior to clinical predictors alone in identifying patients at-risk for PoAF.

methodsIn patients without prior AF undergoing coronary artery bypass grafting, concentrations of biomarkers reflecting collagen synthesis and degradation, extracellular matrix, and regulatory microRNA-29s were determined in serum from preoperative blood samples and correlated to atrial fibrosis extent, alteration in atrial deformation properties determined by 3D speckle-tracking echocardiography, and AF development.

resultsOf 90 patients without prior AF, 34 who developed PoAF were older than non-PoAF patients (72.04 ± 10.7 y; P = 0.043) with no significant difference in baseline comorbidities, LA size, or ventricular function. Global (P = 0.007) and regional longitudinal LA strain and ejection fraction (P = 0.01) were reduced in PoAF vs. non-PoAF patients. Preoperative amino-terminal-procollagen-III-peptide (PIIINP) (103.1 ± 39.7 vs. 35.1 ± 19.3; P = 0.041) and carboxy-terminal-procollagen-I-peptide levels were elevated in PoAF vs. non-PoAF patients with a reduction in miR-29 levels and correlated with atrial fibrosis extent. Combining age as the only significant clinical predictor with PIIINP and miR-29a provided a model that identified PoAF patients with higher predictive accuracy.

conclusionsIn patients without a previous history of AF, using age and biomarkers of collagen synthesis and regulation, a noninvasive tool was developed to identify those at risk for new-onset PoAF.

Indexed as

Atrial FibrillationMicroRNAsBiomarkersCoronary Artery BypassHumansPostoperative ComplicationsRisk AssessmentRisk FactorsBiomarkersMicroRNAsMIRN29a microRNA, humanAgingAtrial fibrillationBiomarkersFibrosisMiR-29Speckle-tracking echocardiography

Identifiers

PMID31952855
PMCPMC8011128
OpenAlexW2999774578

What OpenQuestion holds

Textmetadata
LicenceTDM
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.