Evidence map›Paper›PMID 32916100›Full record

ArticleThe Lancet. Infectious diseases2021

Inappropriate empirical antibiotic therapy for bloodstream infections based on discordant in-vitro susceptibilities: a retrospective cohort analysis of prevalence, predictors, and mortality risk in US hospitals.

Sameer S Kadri, Yi Ling Lai, Sarah Warner, Jeffrey R Strich, Ahmed Babiker, Emily E Ricotta, Cumhur Y Demirkale, John P Dekker, Tara N Palmore, Chanu Rhee and 7 more

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 1 pooled it
17.2field-weighted citation impact, top 1% 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

167 citing papers in PubMed, 1 synthesis or guideline pooled it, 259 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Diagnostic performance and cost-effectiveness of a combined rapid antimicrobial susceptibility testing (RAST) and lateral flow immunochromatographic assay-based workflow for bloodstream infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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  7. Observational
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  12. ASP-COMPLEX: redefining antimicrobial stewardship to improve outcomes in high-risk patients with severe infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
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  16. Two Multidrug-ResistantPathogens (Basel, Switzerland) · 2026
    Article
  17. eBIMIC: development of a web platform for real-time access to cumulative antimicrobial susceptibility reports and its potential impact on evidence-based antibiotic prescribing in bacteremia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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  20. Article

107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 10 institutions in 1 country.

Sameer S KadriCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA; Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. Electronic address: sameer.kadri@nih.gov.
Yi Ling LaiEpidemiology Unit, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Sarah WarnerCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Jeffrey R StrichCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA; United States Public Health Service, Commissioned Corps, Rockville, MD, USA.
Ahmed BabikerDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Emily E RicottaEpidemiology Unit, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Cumhur Y DemirkaleCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.
John P DekkerLaboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Tara N PalmoreHospital Epidemiology Service, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Chanu RheeBrigham and Women's Hospitals, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Michael KlompasBrigham and Women's Hospitals, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
David C HooperDivision of Infectious Diseases, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
John H PowersClinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Arjun SrinivasanDivision of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Robert L DannerCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Jennifer AdjemianEpidemiology Unit, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA; United States Public Health Service, Commissioned Corps, Rockville, MD, USA.
forming the National Insititutes of Health Antimicrobial Resistance Outcomes Research Initiative (NIH-ARORI)
National Institutes of Health Clinical Center · USNational Institute of Allergy and Infectious Diseases · USHarvard University · USCenters for Disease Control and Prevention · USEmory University · USFrederick National Laboratory for Cancer Research · USMassachusetts General Hospital · USNational Institutes of Health · USUniformed Services University of the Health Sciences · USUnited States Public Health Service Commissioned Officers Association · US

Funding

Application of Genomic Approaches to Bacterial Pathogenesis and Mechanisms of Antimicrobial ResistanceZIAAI001249 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI DEKKER, JOHN · 2019 to 2025
$13.7M
Preclinical and Clinical Investigations of Severe Infection and Critical Illness ZIACL008060 · CLC · CLINICAL CENTER · PI DANNER, ROBERT L · 2009 to 2025
$0k
Big Data- Epidemiology of Antimicrobial ResistanceZIACL090046 · CLC · CLINICAL CENTER · PI KADRI, SAMEER · 2017 to 2025
$0k
CCR NIH HHS HHSN261200800001CIntramural NIH HHS Z99 CL999999Intramural NIH HHS ZIA CL090046NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

backgroundThe prevalence and effects of inappropriate empirical antibiotic therapy for bloodstream infections are unclear. We aimed to establish the population-level burden, predictors, and mortality risk of in-vitro susceptibility-discordant empirical antibiotic therapy among patients with bloodstream infections.

methodsOur retrospective cohort analysis of electronic health record data from 131 hospitals in the USA included patients with suspected-and subsequently confirmed-bloodstream infections who were treated empirically with systemic antibiotics between Jan 1, 2005, and Dec 31, 2014. We included all patients with monomicrobial bacteraemia caused by common bloodstream pathogens who received at least one systemic antibiotic either on the day blood cultures were drawn or the day after, and for whom susceptibility data were available. We calculated the prevalence of discordant empirical antibiotic therapy-which was defined as receiving antibiotics on the day blood culture samples were drawn to which the cultured isolate was not susceptible in vitro-overall and by hospital type by using regression tree analysis. We used generalised estimating equations to identify predictors of receiving discordant empirical antibiotic therapy, and used logistic regression to calculate adjusted odds ratios for the relationship between in-hospital mortality and discordant empirical antibiotic therapy.

findings21 608 patients with bloodstream infections received empirical antibiotic therapy on the day of first blood culture collection. Of these patients, 4165 (19%) received discordant empirical antibiotic therapy. Discordant empirical antibiotic therapy was independently associated with increased risk of mortality (adjusted odds ratio 1·46 [95% CI, 1·28-1·66]; p<0·0001), a relationship that was unaffected by the presence or absence of resistance or sepsis or septic shock. Infection with antibiotic-resistant species strongly predicted receiving discordant empirical therapy (adjusted odds ratio 9·09 [95% CI 7·68-10·76]; p<0·0001). Most incidences of discordant empirical antibiotic therapy and associated deaths occurred among patients with bloodstream infections caused by Staphylococcus aureus or Enterobacterales.

interpretationApproximately one in five patients with bloodstream infections in US hospitals received discordant empirical antibiotic therapy, receipt of which was closely associated with infection with antibiotic-resistant pathogens. Receiving discordant empirical antibiotic therapy was associated with increased odds of mortality overall, even in patients without sepsis. Early identification of bloodstream pathogens and resistance will probably improve population-level outcomes.

fundingUS National Institutes of Health, US Centers for Disease Control and Prevention, and US Agency for Healthcare Research and Quality.

Indexed as

HospitalsInappropriate PrescribingAgedAged, 80 and overAnti-Bacterial AgentsCohort StudiesDrug Resistance, BacterialFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSepsisUnited StatesAnti-Bacterial Agents

Identifiers

PMID32916100
PMCPMC7855478
OpenAlexW3083892815

What OpenQuestion holds

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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.