Evidence map›Paper›PMID 35538335›Full record

ArticleInfectious diseases and therapy2022

Clinical Characteristics Associated with Bacterial Bloodstream Coinfection in COVID-19.

Nicholas Rebold, Sara Alosaimy, Taylor Morrisette, Dana Holger, Abdalhamid M Lagnf, Iman Ansari, Ana C Belza, Laura Cheaney, Huzaifa Hussain, Shelbye R Herbin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Association of COVID-19 coinfection with increased mortality among patients withAntimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  4. Review
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 3 institutions in 1 country.

Nicholas ReboldWayne State University, Detroit, MI, USA. Nicholas.rebold@wayne.edu.
Sara AlosaimyWayne State University, Detroit, MI, USA.
Taylor MorrisetteWayne State University, Detroit, MI, USA.
Dana HolgerWayne State University, Detroit, MI, USA.
Abdalhamid M LagnfWayne State University, Detroit, MI, USA.
Iman AnsariWayne State University, Detroit, MI, USA.
Ana C BelzaWayne State University, Detroit, MI, USA.
Laura CheaneyWayne State University, Detroit, MI, USA.
Huzaifa HussainWayne State University, Detroit, MI, USA.
Shelbye R HerbinDetroit Receiving Hospital, Detroit Medical Center, Detroit, MI, USA.
Jacinda Abdul-MutakabbirWayne State University, Detroit, MI, USA.
Caitlin CarronWayne State University, Detroit, MI, USA.
Avnish SandhuWayne State University, Detroit, MI, USA.
Teena ChopraWayne State University, Detroit, MI, USA.
Michael J RybakWayne State University, Detroit, MI, USA. m.rybak@wayne.edu.ORCID http://orcid.org/0000-0002-1094-043X
Eugene Applebaum College of Pharmacy and Health Sciences · USWayne State University · USHenry Ford Health System · US

Funding

UC San Diego RAPID Faculty Development Program in Infectious DiseasesR25AI147376 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ADRIANA H TREMOULET, Joann Trejo · 2020 to 2026
$2.5M
A Pharmacologic Approach to Prevent Daptomycin Resistance in VRER01AI121400 · NIAID · WAYNE STATE UNIVERSITY · PI RYBAK, MICHAEL JOSEPH · 2016 to 2020
$1.9M
Anti-biofilm activity of bacteriophage-antibiotic combinations against MRSAR21AI163726 · NIAID · WAYNE STATE UNIVERSITY · PI RYBAK, MICHAEL JOSEPH · 2021 to 2022
$424k
NIAID NIH HHS R01 AI121400NIAID NIH HHS R21 AI163726NIAID NIH HHS R25 AI147376
6 · The paper itself

Abstract

introductionInappropriate antibiotic use in COVID-19 is often due to treatment of presumed bacterial coinfection. Predictive factors to distinguish COVID-19 from COVID-19 with bacterial coinfection or bloodstream infection are limited.

methodsWe conducted a retrospective cohort study of 595 COVID-19 patients admitted between March 8, 2020, and April 4, 2020, to describe factors associated with a bacterial bloodstream coinfection (BSI). The primary outcome was any characteristic associated with BSI in COVID-19, with secondary outcomes including 30-day mortality and days of antibiotic therapy (DOT) by antibiotic consumption (DOT/1000 patient-days). Variables of interest were compared between true BSI (n = 25) and all other COVID-19 cases (n = 570). A secondary comparison was performed between positive blood cultures with true BSI (n = 25) and contaminants (n = 33) on antibiotic use.

resultsFever (> 38 °C) (as a COVID-19 symptom) was not different between true BSI (n = 25) and all other COVID-19 patients (n = 570) (p = 0.93), although it was different as a reason for emergency department (ED) admission (p = 0.01). Neurological symptoms (ED reason or COVID-19 symptom) were significantly higher in the true BSI group (p < 0.01, p < 0.01) and were independently associated with true BSI (ED reason: OR = 3.27, p < 0.01; COVID-19 symptom: OR = 2.69, p = 0.03) on multivariate logistic regression. High (15-19.9 × 10

conclusionTrue BSI in COVID-19 was associated with neurological symptoms and nonsignificant higher WBC, and led to overall higher 30-day mortality and worse patient outcomes.

Indexed as

Bacterial coinfectionBlood cultureBloodstream infectionCOVID-19Risk factors

Identifiers

PMID35538335
PMCPMC9090596
OpenAlexW4280600006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.