Evidence map›Paper›PMID 33549909›Full record

ArticleJournal of critical care2021

Associations between urinary 3-indoxyl sulfate, a gut microbiome-derived biomarker, and patient outcomes after intensive care unit admission.

Selena Z Kuo, Katja Dettmer, Medini K Annavajhala, David H Chong, Anne-Catrin Uhlemann, Julian A Abrams, Peter J Oefner, Daniel E Freedberg

Open access · bronzeAbstract read
In one paragraph

Article in Journal of critical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

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

  1. Pooled it
  2. Review
  3. Article
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  7. Review
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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

8 authors at 2 institutions in 2 countries.

Selena Z KuoDepartment of Medicine, Columbia University Medical Center, New York, NY, USA. Electronic address: szk9009@nyp.org.
Katja DettmerInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Medini K AnnavajhalaDepartment of Medicine, Division of Infectious Diseases and Microbiome & Pathogen Genomics Core, Columbia University Medical Center, New York, NY, USA.
David H ChongDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Columbia University Medical Center, New York, NY, USA.
Anne-Catrin UhlemannDepartment of Medicine, Division of Infectious Diseases and Microbiome & Pathogen Genomics Core, Columbia University Medical Center, New York, NY, USA.
Julian A AbramsDepartment of Medicine, Division of Digestive and Liver Diseases, Columbia University Medical Center, New York, NY, USA.
Peter J OefnerInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Daniel E FreedbergDepartment of Medicine, Division of Digestive and Liver Diseases, Columbia University Medical Center, New York, NY, USA. Electronic address: def2004@cumc.columbia.edu.
Columbia University Irving Medical Center · USUniversity of Regensburg · DE

Funding

Transcriptional Regulation of Urothelial Differentiation During Homeostasis and Repair in Response to Urinary Tract InfectionU54DK104309 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JONATHAN M. BARASCH, ALI G GHARAVI · 2014 to 2026
$17.7M
Weight loss-induced Microbiome and Adipokine Changes in Barrett's EsophagusU54CA163004 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABRAMS, JULIAN, RUSTGI, ANIL K · 2011 to 2022
$12.5M
NRSA Training CoreTL1TR001875 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SPANN, MARISA N, TAYLOR, JACQUELYN Y · 2016 to 2025
$8.9M
The Oral Microbiome for the Detection of Barretts EsophagusR01CA238433 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABRAMS, JULIAN · 2019 to 2023
$2.6M
Loss of Gastrointestinal Colonization Resistance and Antibiotic-Resistant Infections in the Intensive Care UnitK23DK111847 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FREEDBERG, DANIEL E. · 2017 to 2020
$608k
NCATS NIH HHS TL1 TR001875NCI NIH HHS R01 CA238433NCI NIH HHS U54 CA163004NIDDK NIH HHS K23 DK111847NIDDK NIH HHS U54 DK104309
6 · The paper itself

Abstract

purpose3-indoxyl sulfate (3-IS) is an indole metabolism byproduct produced by commensal gut bacteria and excreted in the urine; low urinary 3-IS has been associated with increased mortality in bone marrow transplant recipients. This study investigated urinary 3-IS and patient outcomes in the ICU. MATERIALS AND

methodsProspective study that collected urine samples, rectal swabs, and clinical data on 78 adult ICU patients at admission and again 72 h later. Urine was analyzed for 3-IS by mass spectrometry.

resultsMedian urinary 3-IS levels were 17.1 μmol/mmol creatinine (IQR 9.5 to 26.2) at admission and 15.6 (IQR 4.2 to 30.7) 72 h later. 22% of patients had low 3-IS (≤6.9 μmol/mmol) on ICU admission and 28% after 72 h. Low 3-IS at 72 h was associated with fewer ICU-free days (22.5 low versus 26 high, p = 0.03) and with death during one year of follow-up (36% low versus 9% high 3-IS, p < 0.01); there was no detectable difference in 30-day mortality (18% low versus 5% high, p = 0.07).

conclusionsLow urinary 3-IS level 72 h after ICU admission was associated with fewer ICU-free days and with increased one-year but not 30-day mortality. Further studies should investigate urinary 3-IS as an ICU biomarker.

Indexed as

Gastrointestinal MicrobiomeIndicanAdultBiomarkersHumansIntensive Care UnitsPatient AdmissionProspective StudiesBiomarkersIndican3-indoxyl sulfateBiomarkerIntensive careMicrobiome

Identifiers

PMID33549909
PMCPMC8084995
OpenAlexW3125208271

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.