Evidence map›Paper›PMID 30560318›Full record

ArticleInfectious diseases and therapy2019

Risk Factors for Bloodstream Infections Among an Urban Population with Skin and Soft Tissue Infections: A Retrospective Unmatched Case-Control Study.

Michael J Rybak, Evan J Zasowski, Sarah C J Jorgensen, Abdalhamid M Lagnf, Susan L Davis, Aaron B Mendelsohn, Vasileios Margaritis

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Michael J RybakAnti-Infective Research Laboratory, College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, USA. m.rybak@wayne.edu.
Evan J ZasowskiAnti-Infective Research Laboratory, College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, USA.
Sarah C J JorgensenAnti-Infective Research Laboratory, College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, USA.
Abdalhamid M LagnfAnti-Infective Research Laboratory, College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, USA.
Susan L DavisAnti-Infective Research Laboratory, College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, USA.
Aaron B MendelsohnCollege of Health Sciences, Walden University, Minneapolis, MN, USA.
Vasileios MargaritisCollege of Health Sciences, Walden University, Minneapolis, MN, USA.
Wayne State University · USWalden University · USHenry Ford Hospital · US

Funding

NovaSeq Shared Instrumentation Grant for Wayne State UniversityS10OD025170 · OD · WAYNE STATE UNIVERSITY · PI RUDEN, DOUGLAS M · 2018 to 2018
$600k
NIH HHS S10 OD025170
6 · The paper itself

Abstract

introductionThe prevalence of acute bacterial skin and skin structure infections (ABSSSIs) continues to increase. Bloodstream infection (BSI) is a severe secondary complication of ABSSSI. The objective of this study was to determine clinical and sociodemographic risk factors for BSI in patients with acute bacterial skin and skin structure infections (ABSSSIs) and to determine if sociodemographic factors impact severity at presentation.

methodsThis was a retrospective unmatched (1:1) case-control study. Predictors of BSI and severe infection were sought through multivariable logistic regression analyses. Cases and controls were collected from two major medical centers located in downtown Detroit, Michigan: the Detroit Medical Center and the Henry Ford Health System. The population of interest included adult patients with community-onset (CO) ABSSSI treated at a participating hospital between January 2010 and December 2015. Cases were defined as those developing BSI within 48 h of admission with CO-ABSSSI as the primary source, while controls were those with CO-ABSSSI without BSI.

resultsA total of 392 patients (196 cases, 196 controls) were included. Independent predictors of BSI were male gender (aOR 1.85: 95% CI 1.11, 3.66), acute renal failure (aOR 2.08: 95% CI 1.18, 3.66), intravenous drug use (aOR 4.38, 95% CI 2.22, 8.62), and prior hospitalization (aOR 2.41, 95% CI 1.24, 4.93). African American race (aOR 2.18, 95% CI 1.38, 3.4), leukocytosis (aOR 2.24, 95% CI 1.41, 3.55), and prior hospitalization (aOR 2.07, 95% CI 1.19, 3.00) were significantly associated with infection severity.

conclusionBoth clinical and sociodemographic factors were associated with BSI and severe infection underscoring the importance of social determinants of health in outcomes among underserved populations.

Indexed as

Acute bacterial skin and skin structure infectionsBloodstream infectionPublic health

Identifiers

PMID30560318
PMCPMC6374237
OpenAlexW2903858296

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.