ArticleInternal and emergency medicine2019
Risk factors associated with bacteremia correlated with mortality in patients with acute bacterial skin and skin structure infection.
Article in Internal and emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Assessing the impact of bacteremia and antibiotic resistance on mortality in patients with monomicrobial and polymicrobial Escherichia coli necrotizing fasciitis.BMC infectious diseases · 2026Article
- In-hospital mortality associated with necrotizing soft tissue infection due to Vibrio vulnificus: a matched-pair cohort study.World journal of emergency surgery : WJES · 2022Article
- Bacteriology and mortality of necrotizing fasciitis in a tertiary coastal hospital with comparing risk indicators of methicillin-resistant Staphylococcus aureus and Vibrio vulnificus infections: a prospective study.BMC infectious diseases · 2021Article
- Hypoalbuminemia as Surrogate and Culprit of Infections.International journal of molecular sciences · 2021Review
- Features and associated factors of bacterial skin infections in hospitalized patients with pemphigus: a single-center retrospective study.Annals of clinical microbiology and antimicrobials · 2020Article
- Identifying patients with acute bacterial skin and skin structure infection who need blood cultures.Internal and emergency medicine · 2019Article
Corrections and comments
- Commented on by
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute bacterial skin and skin structure infections (ABSSSI) is a common cause of acute admissions worldwide, but the disease is not well understood epidemiologically with respect to factors that determine positive blood cultures or patient mortality. To understand the utility of blood cultures and the association between bacteremia and mortality in patients with ABSSSI, we conducted a retrospective study to investigate factors associated with positive blood cultures and mortality in patients with ABSSSI. A retrospective cohort study of hospitalized adult patients with ABSSSI was conducted in a tertiary hospital in Taiwan between March 2015 and December 2016. A total of 1322 hospitalized patients with ABSSSI are included. The overall mortality rate is 2.1% (28/1322), and 122 patients had positive blood culture results. Comorbidities that are significant risk factors for a positive blood culture include diabetes mellitus and chronic kidney disease. Significant risk factors evident in laboratory evaluations include high C-reactive protein (CRP) level (> 20 mg/dL), hyperglycemia, and hypoalbuminemia. Bacteremia is also a significant factor associated with mortality. A blood culture should be considered for patients with ABSSSI with diabetes mellitus or chronic kidney disease or those exhibiting abnormal CRP, glucose, or albumin levels because of the positive correlation between bacteremia and mortality.
Indexed as
Identifiers
30361848What OpenQuestion holds
Registered trials
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.