Evidence map›Paper›PMID 30880140›Full record

ArticleThe Annals of thoracic surgery2019

Are Urinary Biomarkers Better Than Acute Kidney Injury Duration for Predicting Readmission?

Jeremiah R Brown, Heather Thiessen-Philbrook, Christine A Goodrich, Andrew R Bohm, Shama S Alam, Steven G Coca, Eric McArthur, Amit X Garg, Chirag R Parikh

Abstract readComparative Study
In one paragraph

Article in The Annals of thoracic surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

9 authors.

Jeremiah R BrownThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire; Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire. Electronic address: jeremiah.r.brown@dartmouth.edu.
Heather Thiessen-PhilbrookDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Christine A GoodrichThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire.
Andrew R BohmThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire.
Shama S AlamThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire.
Steven G CocaDivision of Nephrology, Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Eric McArthurInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Amit X GargInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Chirag R ParikhDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
IMPROVE-AKI: A Cluster-Randomized Trial of Team-Based Coaching Interventions to IMPROVE Acute Kidney InjuryR01DK113201 · NIDDK · DARTMOUTH COLLEGE · PI Jeremiah R Brown, MICHAEL E. MATHENY · 2018 to 2026
$5.1M
Novel Biomarkers to Predict Readmission in Pediatric and Adult Heart SurgeryR01HL119664 · NHLBI · DARTMOUTH COLLEGE · PI BROWN, JEREMIAH R · 2014 to 2017
$3.2M
Leveraging Clinical Trials of Diabetic Kidney Disease to Advance BiomarkersU01DK106962 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G, PARIKH, CHIRAG R · 2015 to 2019
$1.3M
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01 HL119664NIDDK NIH HHS K24 DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK113201NIDDK NIH HHS U01 DK082185NIDDK NIH HHS U01 DK106962
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a common complication of cardiac surgery. Postprocedural AKI is a risk factor for 30-day readmission. We sought to examine the association of AKI and kidney injury biomarkers with readmission after cardiac surgery.

methodsPatients alive at discharge who underwent cardiac surgery from the Translational Research Investigating Biomarker Endpoints-AKI cohort were enrolled from six medical centers in the United States and Canada. AKI duration was defined as the total number of days AKI was present during index admission (no AKI, 1-2, 3-6, and 7+ days). Preoperative and postoperative urinary levels were collected for interleukin-18, neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, liver-fatty-acid-binding protein, cystatin C, microalbumin, creatinine, and albumin-to-creatinine ratio. Readmission and death events were identified through US (Medicare) and Canadian administrative databases at 30 days and 365 days after discharge.

resultsOf 968 patients 15.9% were readmitted or died within 30 days of discharge and 35.9% were readmitted or died within 365 days. AKI duration of 3 to 6 days was significantly associated with 30-day readmission or death (adjusted odds ratio, 1.82%; 95% confidence interval, 1.08-3.05). Patients with AKI duration ≥ 7 days had increased odds of readmission or death at both 30 days (adjusted odds ratio, 2.49%; 95% confidence interval, 1.15-5.43) and 365 days (adjusted odds ratio, 3.67%; 95% confidence interval, 1.73-7.79). Urinary biomarkers had no association with readmission and death.

conclusionsAKI duration ≥ 3 days, and not kidney biomarkers, was strongly associated with readmission or death. These clinical outcomes are potentially due to cardiovascular or hemodynamic causes rather than intrinsic injury to the kidney parenchyma.

Indexed as

Cardiac Surgical ProceduresAcute Kidney InjuryAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedPatient ReadmissionPostoperative ComplicationsPredictive Value of TestsProspective StudiesTime FactorsBiomarkers

Identifiers

PMID30880140
PMCPMC6743318

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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.