Evidence map›Paper›PMID 40608242›Full record

ArticleInfectious diseases and therapy2025

Risk Factors for Hospital Readmission Following Outpatient Parenteral Antimicrobial Therapy (OPAT).

Melanie Yousif, Matthew Geriak, Logan Vasina, George Sakoulas

Abstract read
In one paragraph

Article in Infectious diseases and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Evaluation of a Remote Therapeutic Monitoring Device and Integrated Care Platform in Outpatient Parenteral Antimicrobial Therapy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Trial
  2. Review
  3. 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

4 authors.

Melanie YousifSharp Memorial Hospital Pharmacy, San Diego, CA, USA.
Matthew GeriakSharp Healthcare Center for Research, San Diego, CA, USA.
Logan VasinaSharp Memorial Hospital Pharmacy, San Diego, CA, USA.
George SakoulasSharp Rees Stealy Medical Group, 2020 Genesee Avenue, San Diego, CA, 92130, USA. gsakoulas@health.ucsd.edu.ORCID http://orcid.org/0000-0002-6063-6217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA main goal of outpatient parenteral antibiotic therapy (OPAT) is to streamline patient care and minimize time spent in the inpatient hospital setting. The identification of characteristics of patients who return to the hospital after being discharged on OPAT may identify modifiable steps that can be taken to reduce risk of hospital readmission as a practice improvement strategy.

methodsWe performed a retrospective analysis of adult patients prescribed OPAT for ≥ 14 days prescribed by infectious disease consultation for non-urinary tract infections (non-UTI). We compared characteristics including demographics, sites of infection, microbiology, and antimicrobial therapy prescribed.

resultsOf 233 adult OPAT patients with non-UTI infections receiving ID consultation, 61 (26%) were readmitted to the hospital (60 days), of which 37 (60%) were due to treatment failure. Ceftriaxone once daily was the most prescribed antimicrobial therapy. Microbiology and infection sites were similar between the two groups. Obesity (body mass index, BMI > 30 kg/m

conclusionsPatients with obesity may not be receiving sufficient antimicrobial exposure with standard antibiotic dosing regimens, particularly with ceftriaxone. Antibiotic dosing in patients with obesity requires further study and optimization, particularly with cephalosporins.

Indexed as

Antibiotic dosingObesityOPATPolymicrobial infectionReadmission

Identifiers

PMID40608242
PMCPMC12339824

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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.