Evidence map›Paper›PMID 32993810›Full record

ArticleAntimicrobial resistance and infection control2020

Influence of severity of infection on the effect of appropriate antimicrobial therapy for Acinetobacter baumannii bacteremic pneumonia.

Fang-Yu Kang, Chorng-Kuang How, Yung-Chih Wang, Aristine Cheng, Ya-Sung Yang, Shu-Chen Kuo, Chang-Pan Liu, Yuag-Meng Liu, Te-Li Chen, Yi-Tzu Lee

Abstract readMulticenter Study
In one paragraph

Article in Antimicrobial resistance and infection control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The impact of optimizing microbial diagnosis processes on clinical and healthcare economic outcomes in hospitalized patients with bloodstream infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  4. Observational
  5. Article
  6. Observational
  7. 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

10 authors.

Fang-Yu KangDepartment of Emergency Medicine, Taipei Veterans General Hospital, No.201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Chorng-Kuang HowDepartment of Emergency Medicine, Taipei Veterans General Hospital, No.201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Yung-Chih WangDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Aristine ChengDepartment of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Ya-Sung YangDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Shu-Chen KuoNational Institute of Infectious Diseases and Vaccinology, National Health Research Institute, Miaoli County, Taiwan.
Chang-Pan LiuDivision of Infectious Diseases, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Yuag-Meng LiuDivision of Infectious Diseases, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Te-Li ChenGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Yi-Tzu LeeDepartment of Emergency Medicine, Taipei Veterans General Hospital, No.201, Section 2, Shipai Road, Taipei, 11217, Taiwan. s851009@yahoo.com.tw.ORCID 0000-0002-6183-4987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of appropriate antimicrobial therapy for A. baumannii bacteremic pneumonia has not been well established due to the inclusion of the three phenotypically indistinguishable Acinetobacter species and confounding factors including underlying diseases and severity of infection. This retrospective study aimed to evaluate the impact of appropriate antimicrobial therapy on 14-day mortality in A. baumannii bacteremic pneumonia patients after adjusting for risk factors.

methodsThis study was conducted at five medical centers in Taiwan between July 2012 and June 2016. A. baumannii species identification was performed using reference molecular methods. Risk factors for 14-day mortality were analyzed via logistic regression. The interaction between the Acute Physiology and Chronic Health Evaluation (APACHE) II score and appropriate antimicrobial therapy was assessed using the logistic model.

resultsA total of 336 patients with monomicrobial A. baumannii bacteremic pneumonia were included in this study. The overall 14-day mortality rate was 47.3%. The crude mortality of appropriate antimicrobial therapy was 35.9% (57 of 151 patients). Appropriate antimicrobial therapy was associated with a lower mortality after multivariate adjustment (odds ratio [OR], 0.57; 95% confidence interval [CI], 0.34-0.97; p = 0.04), and the effect was influenced by APACHE II score (OR for interaction term, 0.0098; 95% CI, 0.0005-0.1885; p = 0.002). Further analysis demonstrated that appropriate antimicrobial therapy significantly reduced 14-day mortality among the patients with an APACHE II score > 35 (OR 0.0098; 95% CI 0.0005-0.1885).

conclusionAppropriate antimicrobial therapy decreases 14-day mortality of the most severely ill patients with A. baumannii bacteremic pneumonia.

Indexed as

Acinetobacter baumanniiAcinetobacter InfectionsAgedAnti-Bacterial AgentsBacteremiaFemaleHumansLogistic ModelsMaleMortalityMultivariate AnalysisPneumoniaSeverity of Illness IndexAnti-Bacterial AgentsAcinetobacter baumanniiAppropriate antimicrobial therapyBacteremiaPneumoniaSeverity

Identifiers

PMID32993810
PMCPMC7523485

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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.