Evidence map›Paper›PMID 29759735›Full record

Trial reportThe Journal of thoracic and cardiovascular surgery2018

Preoperative serum ST2 level predicts acute kidney injury after adult cardiac surgery.

Kevin W Lobdell, Devin M Parker, Donald S Likosky, Michael Rezaee, Moritz Wyler von Ballmoos, Shama S Alam, Sherry Owens, Heather Thiessen-Philbrook, Todd MacKenzie, Jeremiah R Brown

Abstract readClinical TrialVideo-Audio Media
In one paragraph

Trial report in The Journal of thoracic and cardiovascular surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kevin W LobdellCarolinas HealthCare System, Charlotte, NC.
Devin M ParkerThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, NH; Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Donald S LikoskyInstitute for Healthcare Policy and Innovation; Section of Health Services Research and Quality, Department of Cardiac Surgery, University of Michigan, Ann Arbor, Mich.
Michael RezaeeSection of Urology, Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Moritz Wyler von BallmoosDivision of Cardiovascular and Thoracic Surgery, Duke University Medical Center, Durham, NC.
Shama S AlamThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, NH; Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Sherry OwensThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, NH; Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Heather Thiessen-PhilbrookProgram of Applied Translational Research, Section of Nephrology, Department of Medicine, Yale University School of Medicine, New Haven, Conn.
Todd MacKenzieThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, NH; Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Jeremiah R BrownThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, NH; Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Department of Community and Family Medicine, Geisel School of Medicine, Lebanon, NH. Electronic address: jbrown@dartmouth.edu.

Funding

Novel Biomarkers to Predict Readmission in Pediatric and Adult Heart SurgeryR01HL119664 · NHLBI · DARTMOUTH COLLEGE · PI BROWN, JEREMIAH R · 2014 to 2017
$3.2M
NHLBI NIH HHS R01 HL119664
6 · The paper itself

Abstract

objectiveThe purpose of this study was to evaluate the relationship between preoperative levels of serum soluble ST2 (ST2) and acute kidney injury (AKI) after cardiac surgery. Previous research has shown that biomarkers facilitate the prediction of AKI and other complications after cardiac surgery.

methodsPreoperative ST2 proteins were measured in 1498 patients undergoing isolated coronary artery bypass graft surgery at 8 hospitals participating in the Northern New England Biomarker Study from 2004 to 2007. AKI severity was defined using the Acute Kidney Injury Network (AKIN) definition. Preoperative ST2 levels were measured using multiplex assays. Ordered logistic regression was used to examine the relationship between ST2 levels and levels of AKI severity.

resultsParticipants in this study showed a significant association between elevated preoperative ST2 levels and acute kidney risk. Before adjustment, the odds of patients developing AKIN stage 2 or 3, compared with AKIN stage 1, are 2.43 times higher (95% confidence interval, 1.86-3.16; P < .001) for patients in the highest tercile of preoperative ST2. After adjustment, patients in the highest tercile of preoperative ST2 had significantly greater odds of developing AKIN stage 2 or 3 AKI (odds ratio, 1.99; 95% confidence interval, 1.50-2.65; P < .001) compared with patients with AKIN stage 1.

conclusionsPreoperative ST2 levels are associated with postoperative AKI risk and can be used to identify patients at higher risk of developing AKI after cardiac surgery.

Indexed as

Cardiac Surgical ProceduresAcute Kidney InjuryAdultAgedBiomarkersDecision Support TechniquesFemaleHumansInterleukin-1 Receptor-Like 1 ProteinLogistic ModelsMaleMiddle AgedPostoperative ComplicationsPredictive Value of TestsPreoperative CareProspective StudiesBiomarkersIL1RL1 protein, humanInterleukin-1 Receptor-Like 1 Proteinacute kidney injurybiomarkerscardiac surgeryST2

Identifiers

PMID29759735
PMCPMC6098731

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.