Evidence map›Paper›PMID 28686744›Full record

ArticlePloS one2017

Should we treat patients with only one set of positive blood cultures for extensively drug-resistant Acinetobacter baumannii the same as multiple sets?

Aristine Cheng, Yu-Chung Chuang, Hsin-Yun Sun, Chia-Jui Yang, Hou-Tai Chang, Jia-Ling Yang, Wang-Huei Sheng, Yee-Chun Chen, Shan-Chwen Chang

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Co-isolates ofAccess microbiology · 2022
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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

9 authors.

Aristine ChengDepartment of Internal Medicine, National Taiwan University Hospital Main Branch, and National Taiwan University College of Medicine, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-1182-7375
Yu-Chung ChuangDepartment of Internal Medicine, National Taiwan University Hospital Main Branch, and National Taiwan University College of Medicine, Taipei, Taiwan.
Hsin-Yun SunDepartment of Internal Medicine, National Taiwan University Hospital Main Branch, and National Taiwan University College of Medicine, Taipei, Taiwan.
Chia-Jui YangDepartment of Internal Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Hou-Tai ChangDepartment of Internal Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Jia-Ling YangDepartment of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan.
Wang-Huei ShengDepartment of Internal Medicine, National Taiwan University Hospital Main Branch, and National Taiwan University College of Medicine, Taipei, Taiwan.
Yee-Chun ChenDepartment of Internal Medicine, National Taiwan University Hospital Main Branch, and National Taiwan University College of Medicine, Taipei, Taiwan.
Shan-Chwen ChangDepartment of Internal Medicine, National Taiwan University Hospital Main Branch, and National Taiwan University College of Medicine, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acinetobacter species are not considered skin commensals and under-treatment is an overriding concern when caring for critically-ill patients who are mostly at risk of extensively drug-resistant Acinetobacter baumannii (XDRAB) infections. Hence even a single blood culture yielding XDRAB will tend to prompt intervention. However, field observations suggest that patients with single-positive blood cultures had milder disease and were more likely to be recruited in interventional studies than those with multiple-positive blood cultures, yet no distinction is made in current clinical or trial recruitment practices. To our knowledge, this is the first study to compare the clinical characteristics and outcomes of patients with single-positive versus multiple-positive blood cultures for XDRAB. In this multicenter prospective cohort study of XDRAB bacteremic patients from July 2010 to June 2015, only patients with at least two simultaneously drawn blood cultures were included. The patients were classified as having single-positive or multiple-positive blood cultures according to the number of positive blood cultures yielding XDRAB. The primary end-point was the 28-day mortality. Of a total of 155 patients enrolled, 69 had a single-positive and 86 had multiple-positive blood cultures. Leukopenia (37.2% vs. 16.2%; P = 0.004), thrombocytopenia (56.0% vs. 26.5%; P < 0.001), higher Pitt bacteremia scores (6.6 vs. 5.5, P = 0.03) and higher 28-day mortality rates (70.9% vs. 43.5%; P = 0.001) distinguished patients with multiple-positive from those with single-positive cultures. Multivariate logistic regression showed that multi-positivity independently predicted 28-day mortality (adjusted odds ratio, 2.34; 95% confidence interval (CI), 1.03-5.28; P = 0.04) and the Cox regression confirmed that multi-positivity (adjusted hazard ratio, 1.80; 95% CI, 1.13-2.85; P = 0.01) predicted rapid mortality. Patients with multiple versus single positive blood cultures yielding XDRAB had greater morbidity and mortality. Investigators and clinicians should be aware that the blood culture positivity rate impacts outcomes of XDRAB bacteremia.

Indexed as

Drug Resistance, Multiple, BacterialAcinetobacter baumanniiAcinetobacter InfectionsAgedAged, 80 and overAnti-Bacterial AgentsBacteremiaBlood CultureCarbapenemsColistinCritical IllnessFemaleHumansIntensive Care UnitsLeukopeniaMicrobial Sensitivity TestsAnti-Bacterial AgentsCarbapenemsColistin

Identifiers

PMID28686744
PMCPMC5501650

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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.