Evidence map›Paper›PMID 32523974›Full record

ArticleOpen forum infectious diseases2020

Which Patients Discharged to Home-Based Outpatient Parenteral Antimicrobial Therapy Are at High Risk of Adverse Outcomes?

Sara C Keller, Nae-Yuh Wang, Alejandra Salinas, Deborah Williams, Jennifer Townsend, Sara E Cosgrove

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Does comorbidity index predict OPAT readmission?JAC-antimicrobial resistance · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A clinical andJAC-antimicrobial resistance · 2021
    Article
  17. Article
  18. 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

6 authors at 1 institution in 1 country.

Sara C KellerDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-9660-4367
Nae-Yuh WangWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine, Institute for Clinical & Translational Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-6513-9730
Alejandra SalinasDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Deborah WilliamsJohns Hopkins Home Care Group, Baltimore, Maryland, USA.
Jennifer TownsendDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-7587-3493
Sara E CosgroveDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-9458-4331
Johns Hopkins University · US

Funding

Institute for Clinical and Translational ResearchKL2TR001077 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$9.2M
AHRQ HHS K08 HS025782NCATS NIH HHS KL2 TR001077
6 · The paper itself

Abstract

backgroundPatients increasingly receive home-based outpatient parenteral antimicrobial therapy (OPAT). Understanding which patients might be at higher risk of complications is critical in effectively triaging resources upon and after hospital discharge.

methodsA prospective cohort of patients discharged from 1 of 2 academic medical centers in Baltimore, Maryland, between March 2015 and December 2018 were consented and randomly divided into derivation and validation cohorts for development of a risk score for adverse OPAT outcomes. Data from the derivation cohort with the primary outcome of a serious adverse outcome (infection relapse, serious adverse drug event, serious catheter complication, readmission, or death) were analyzed to derive the risk score equation using logistic regression, which was then validated in the validation cohort for performance of predicting a serious adverse outcome.

resultsOf 664 patients in the total cohort, half (332) experienced a serious adverse outcome. The model predicting having a serious adverse outcome included type of catheter, time on OPAT, using a catheter for chemotherapy, using a catheter for home parenteral nutrition, being treated for septic arthritis, being on vancomycin, being treated for

conclusionsA risk score can be implemented to detect who may be at high risk of serious adverse outcomes, but all patients on OPAT may require monitoring to prevent or detect adverse events.

Indexed as

antibiotic complicationcatheter complicationshome infusionOPAT

Identifiers

PMID32523974
PMCPMC7270705
OpenAlexW3027114930

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.