Evidence map›Paper›PMID 34322562›Full record

ArticleOpen forum infectious diseases2021

Evaluation of Clinical Outcomes After Introduction of a Dedicated Infectious Diseases-Critical Care Medicine Service in Critical Care Units.

Polina Trachuk, Vagish Hemmige, Ruth Eisenberg, Kelsie Cowman, Victor Chen, Gregory Weston, Inessa Gendlina, Nadia Ferguson, Peter Dicpinigaitis, Jay Berger and 2 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 2 institutions in 1 country.

Polina TrachukDivision of Pulmonary, Critical Care Medicine and Sleep Medicine, Department of Medicine, New York University School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-8096-4277
Vagish HemmigeDivision of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Ruth EisenbergDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Kelsie CowmanDivision of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Victor ChenDepartment of Pharmacy, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Gregory WestonDivision of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Inessa GendlinaDivision of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Nadia FergusonDepartment of Pharmacy, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Peter DicpinigaitisDivision of Critical Care Medicine, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Jay BergerDivision of Critical Care Medicine, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Liise-Anne PirofskiDivision of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Uzma N SarwarDivision of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.ORCID https://orcid.org/0000-0003-2762-2275
Albert Einstein College of Medicine · USNew York University · US

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

backgroundInfection is a leading cause of admission to intensive care units (ICUs), with critically ill patients often receiving empiric broad-spectrum antibiotics. Nevertheless, a dedicated infectious diseases (ID) consultation and stewardship team is not routinely established. An ID-critical care medicine (ID-CCM) pilot program was designed at a 400-bed tertiary care hospital in which an ID attending was assigned to participate in daily rounds with the ICU team, as well as provide ID consultation on select patients. We sought to evaluate the impact of this dedicated ID program on antibiotic utilization and clinical outcomes in patients admitted to the ICU.

methodsIn this single-site retrospective study, we analyzed antibiotic utilization and clinical outcomes in patients admitted to an ICU during the postintervention period from January 1 to December 31, 2017, and compared it to antibiotic utilization in the same ICUs during the preintervention period from January 1 to December 31, 2015.

resultsOur data showed a statistically significant reduction in usage of most frequently prescribed antibiotics including vancomycin, piperacillin-tazobactam, and cefepime during the intervention period. When compared to the preintervention period there was no difference in-hospital mortality, hospital length of stay, and readmission.

conclusionsWith this multidisciplinary intervention, we saw a decrease in the use of the most frequently prescribed broad-spectrum antibiotics without a negative impact on clinical outcomes. Our study shows that the implementation of an ID-CCM service is a feasible way to promote antibiotic stewardship in the ICU and can be used as a strategy to reduce unnecessary patient exposure to broad-spectrum agents.

Indexed as

antibiotic stewardshipcritical careinfectious diseasesintensive care unit

Identifiers

PMID34322562
PMCPMC8312519
OpenAlexW3156657504

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.