Evidence map›Paper›PMID 38213312›Full record

ArticleJAC-antimicrobial resistance2024

Bloodstream infections after solid organ transplantation: clinical epidemiology and antimicrobial resistance (2016-21).

Max W Adelman, Ashton A Connor, Enshuo Hsu, Ashish Saharia, Constance M Mobley, David W Victor, Mark J Hobeika, Jiejian Lin, Kevin A Grimes, Elizabeth Ramos and 4 more

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Burden and Management of Multi-Drug Resistant Organism Infections in Solid Organ Transplant Recipients Across the World: A Narrative Review.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Predicting VRE Infection After Liver Transplantation With a Time-Updated Colonization Score.Transplant infectious disease : an official journal of the Transplantation Society
    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

14 authors.

Max W AdelmanDivision of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, TX, USA.ORCID https://orcid.org/0000-0002-9277-6046
Ashton A ConnorDepartment of Surgery, Weill Cornell Medical College, New York, NY, USA.
Enshuo HsuCenter for Health Data Science and Analytics, Houston Methodist Hospital, Houston, TX, USA.
Ashish SahariaDepartment of Surgery, Weill Cornell Medical College, New York, NY, USA.
Constance M MobleyDepartment of Surgery, Weill Cornell Medical College, New York, NY, USA.
David W VictorJ.C. Walter, Jr. Transplant Center, Houston Methodist Hospital, Houston, TX, USA.
Mark J HobeikaDepartment of Surgery, Weill Cornell Medical College, New York, NY, USA.
Jiejian LinDivision of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, TX, USA.
Kevin A GrimesDivision of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, TX, USA.
Elizabeth RamosDivision of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, TX, USA.
Claudia PedrozaCenter for Clinical Research and Evidence-Based Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Elizabeth W BromboszDepartment of Surgery, Houston Methodist Hospital, Houston, TX, USA.
R Mark GhobrialDepartment of Surgery, Weill Cornell Medical College, New York, NY, USA.
Cesar A AriasDivision of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, TX, USA.

Funding

Project 3: Functional Microbiome and Host Signatures in Transition from Commensal to pathogenP01AI152999 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SAVIDGE, TOR C. · 2020 to 2025
$12.0M
VENOUS: A translational study of enterococcal bacteremiaR01AI148342 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ARIAS, CESAR AUGUSTO · 2020 to 2024
$3.9M
The LiaFSR system and antimicrobial peptide resistance in enterococciR01AI134637 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Cesar Augusto Arias · 2018 to 2026
$3.7M
POR Program on Genomic Prediction of Antimicrobial Resistance in VREK24AI121296 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ARIAS, CESAR AUGUSTO · 2016 to 2025
$1.5M
NIAID NIH HHS K24 AI121296NIAID NIH HHS P01 AI152999NIAID NIH HHS R01 AI134637NIAID NIH HHS R01 AI148342
6 · The paper itself

Abstract

Background: Solid organ transplant (SOT) recipients are at risk of bloodstream infections (BSIs) with MDR organisms (MDROs). Objectives: To describe the epidemiology of BSI in the year after several types of SOT, as well as the prevalence of MDRO infections in this population. Methods: We conducted a single-centre, retrospective study of kidney, liver, heart, and multi-organ transplantation patients. We examined BSIs ≤1 year from SOT and classified MDRO phenotypes for Results: We included 2293 patients [1251 (54.6%) kidney, 663 (28.9%) liver, 219 (9.6%) heart and 160 (7.0%) multi-organ transplant]. Overall, 8.5% of patients developed a BSI. BSIs were most common after multi-organ (23.1%) and liver (11.3%) transplantation ( Conclusions: BSI incidence after SOT was 8.5%, with a high proportion of MDROs (45.5%), especially after liver transplantation. These data, in conjunction with local antimicrobial resistance patterns and prescribing practices, may help guide empirical antimicrobial selection and stewardship practices after SOT.

Identifiers

PMID38213312
PMCPMC10783261

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Registered trials

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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.