Evidence map›Paper›PMID 31436833›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Gut Microbiome Signatures Are Predictive of Infectious Risk Following Induction Therapy for Acute Myeloid Leukemia.

Jessica R Galloway-Peña, Yushu Shi, Christine B Peterson, Pranoti Sahasrabhojane, Vancheswaran Gopalakrishnan, Chelcy E Brumlow, Naval G Daver, Mansour Alfayez, Prajwal C Boddu, Md Abdul Wadud Khan and 5 more

Open access · greenAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

94 citing papers in PubMed, 126 citations in OpenAlex.

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34 more citing papers are in PubMed but not listed here.

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

15 authors at 5 institutions in 1 country.

Jessica R Galloway-PeñaDepartment of Genomic Medicine, Houston, Texas, USA.
Yushu ShiDepartment of Biostatistics, Houston, Texas, USA.
Christine B PetersonDepartment of Biostatistics, Houston, Texas, USA.
Pranoti SahasrabhojaneDepartment of Infectious Disease, Infection Control, and Employee Health, Houston, Texas, USA.
Vancheswaran GopalakrishnanDepartment of Surgical Oncology, Houston, Texas, USA.
Chelcy E BrumlowDepartment of Infectious Disease, Infection Control, and Employee Health, Houston, Texas, USA.
Naval G DaverDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Mansour AlfayezDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Prajwal C BodduDepartment of Hematology-Oncology, Yale University School of Medicine, New Haven, Connecticut, USA.
Md Abdul Wadud KhanDepartment of Surgical Oncology, Houston, Texas, USA.
Jennifer A WargoDepartment of Genomic Medicine, Houston, Texas, USA.
Kim-Anh DoDepartment of Biostatistics, Houston, Texas, USA.
Robert R JenqDepartment of Genomic Medicine, Houston, Texas, USA.
Dimitrios P KontoyiannisDepartment of Infectious Disease, Infection Control, and Employee Health, Houston, Texas, USA.
Samuel A ShelburneDepartment of Genomic Medicine, Houston, Texas, USA.
Anesthesiology and Surgical Oncology Research Group · USCancer Research And Biostatistics · USGenomic Health (United States) · USThe University of Texas MD Anderson Cancer Center · USYale University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
(PQ10) Enhancing responses to immune checkpoint blockade in melanoma via modulation of the microbiomeR01CA219896 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WARGO, JENNIFER A. · 2018 to 2022
$2.2M
Identifying Risk Factors for Antibiotic Resistance via Integration of Epidemiology and MetagenomicsK01AI143881 · NIAID · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GALLOWAY-PENA, JESSICA RHEA · 2019 to 2023
$545k
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA219896NIAID NIH HHS K01 AI143881
6 · The paper itself

Abstract

backgroundThe majority of studies that provide insights into the influence of the microbiome on the health of hematologic malignancy patients have concentrated on the transplant setting. Here, we sought to assess the predictive capacity of the gastrointestinal microbiome and its relationship to infectious outcomes in patients with acute myeloid leukemia (AML).

methods16s rRNA-based analysis was performed on oral swabs and stool samples obtained biweekly from baseline until neutrophil recovery following induction chemotherapy (IC) in 97 AML patients. Microbiome characteristics were correlated with clinical outcomes both during and after IC completion.

resultsAt the start of IC, higher stool Shannon diversity (hazard ratio [HR], 0.36; 95% confidence interval [CI], .18-.74) and higher relative abundance of Porphyromonadaceae (HR, 0.36; 95% CI, .18-.73) were associated with increased probability of remaining infection-free during neutropenia. A baseline stool Shannon diversity cutoff of <2 had optimal operating characteristics for predicting infectious complications during neutropenia. Although 56 patients received therapy >72 hours with a carbapenem, none of the patients had an infection with an extended spectrum β-lactamase-producing organism. Patients who received carbapenems for >72 hours had significantly lower α-diversity at neutrophil recovery (P = .001) and were approximately 4 times more likely to have infection in the 90 days following neutrophil recovery (HR, 4.55; 95% CI, 1.73-11.93).

conclusionsOur results suggest that gut microbiome evaluation could assist with infectious risk stratification and that improved targeting of antibiotic administration during IC could decrease subsequent infectious complications in AML patients.Baseline microbiome diversity is a strong independent predictor of infection during acute myeloid leukemia induction chemotherapy (IC) among clinical and microbiome covariates. Higher baseline levels of Porphyromonadaceae appear protective against infection, while carbapenem use is associated with consequences to the microbiome and infection susceptibility post-IC.

Indexed as

Gastrointestinal MicrobiomeLeukemia, Myeloid, AcuteFecesHumansInduction ChemotherapyRNA, Ribosomal, 16SRNA, Ribosomal, 16Sacute myeloid leukemiacarbapeneminduction chemotherapymicrobiomeShannon diversity

Identifiers

PMID31436833
PMCPMC7312220
OpenAlexW2969463435

What OpenQuestion holds

Textmetadata
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.