Evidence map›Paper›PMID 30188976›Full record

Observational studyClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

Pharmacodynamic Analysis of Daptomycin-treated Enterococcal Bacteremia: It Is Time to Change the Breakpoint.

Lindsay M Avery, Joseph L Kuti, Maja Weisser, Adrian Egli, Michael J Rybak, Evan J Zasowski, Cesar A Arias, German A Contreras, Pearlie P Chong, Samuel L Aitken and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Global impact of antibacterial resistance in patients with hematologic malignancies and hematopoietic cell transplant recipients.Transplant infectious disease : an official journal of the Transplantation Society · 2023
    Review
  7. Review
  8. Article
  9. Article
  10. Successful Treatment of Vancomycin-ResistantInfection & chemotherapy · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. High-Dose Daptomycin and Clinical Applications.The Annals of pharmacotherapy · 2021
    Review
  16. Daptomycin versus Glycopeptides for the Treatment ofAntibiotics (Basel, Switzerland) · 2021
    Article
  17. Clinical Pharmacokinetics of Daptomycin.Clinical pharmacokinetics · 2021
    Review
  18. Article
  19. Assessment of TedizolidAntimicrobial agents and chemotherapy · 2020
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 4 countries.

Lindsay M AveryCenter for Anti-infective Research and Development, Hartford Hospital, Connecticut.
Joseph L KutiCenter for Anti-infective Research and Development, Hartford Hospital, Connecticut.
Maja WeisserDivision of Infectious Diseases and Hospital Epidemiology.
Adrian EgliDivision of Clinical Microbiology, University Hospital Basel.
Michael J RybakAnti-infective Research Laboratory, College of Pharmacy, School of Medicine, Division of Infectious Diseases, Wayne State University, Detroit, Michigan.
Evan J ZasowskiAnti-infective Research Laboratory, College of Pharmacy, School of Medicine, Division of Infectious Diseases, Wayne State University, Detroit, Michigan.
Cesar A AriasCenter for Antimicrobial Resistance and Microbial Genomics and Division of Infectious Diseases, University of Texas Health Science Center, McGovern Medical School at Houston.
German A ContrerasCenter for Antimicrobial Resistance and Microbial Genomics and Division of Infectious Diseases, University of Texas Health Science Center, McGovern Medical School at Houston.
Pearlie P ChongDivision of Infectious Diseases, University of Texas Southwestern Medical Center, Dallas.
Samuel L AitkenDivision of Pharmacy, University of Texas MD Anderson Cancer Center, Houston.
Adam J DiPippoDivision of Pharmacy, University of Texas MD Anderson Cancer Center, Houston.
Jann-Tay WangDepartment of Internal Medicine, National Taiwan University Hospital, Taipei.
Nicholas S BrittResearch Department, Dwight D. Eisenhower Veterans Affairs Medical Center, Leavenworth.
David P NicolauCenter for Anti-infective Research and Development, Hartford Hospital, Connecticut.
Hartford Hospital · USThe University of Texas MD Anderson Cancer Center · USWayne State University · USDwight D. Eisenhower VA Medical Center · USNational Taiwan University Hospital · TWThe University of Texas Health Science Center at Houston · USThe University of Texas Southwestern Medical Center · USUniversidad El Bosque · COUniversity of Basel · CH

Funding

The LiaFSR system and antimicrobial peptide resistance in enterococciR01AI134637 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Cesar Augusto Arias · 2018 to 2026
$3.7M
A Pharmacologic Approach to Prevent Daptomycin Resistance in VRER01AI121400 · NIAID · WAYNE STATE UNIVERSITY · PI RYBAK, MICHAEL JOSEPH · 2016 to 2020
$1.9M
POR Program on Genomic Prediction of Antimicrobial Resistance in VREK24AI121296 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ARIAS, CESAR AUGUSTO · 2016 to 2025
$1.5M
Molecular basis of the cefazolin inoculum effectR21AI143229 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ARIAS, CESAR AUGUSTO · 2019 to 2020
$442k
NIAID NIH HHS K24 AI121296NIAID NIH HHS R01 AI121400NIAID NIH HHS R01 AI134637NIAID NIH HHS R21 AI143229
6 · The paper itself

Abstract

backgroundCurrently, there is debate over whether the daptomycin susceptibility breakpoint for enterococci (ie, minimum inhibitory concentration [MIC] ≤4 mg/L) is appropriate. In bacteremia, observational data support prescription of high doses (>8 mg/kg). However, pharmacodynamic targets associated with positive patient outcomes are undefined.

methodsData were pooled from observational studies that assessed outcomes in daptomycin-treated enterococcal bacteremia. Patients who received an additional antienterococcal antibiotic and/or a β-lactam antibiotic at any time during treatment were excluded. Daptomycin exposures were calculated using a published population pharmacokinetic model. The free drug area under the concentration-time curve to MIC ratio (fAUC/MIC) threshold predictive of survival at 30 days was identified by classification and regression tree analysis and confirmed with multivariable logistic regression. Monte Carlo simulations determined the probability of target attainment (PTA) at clinically relevant MICs.

resultsOf 114 patients who received daptomycin monotherapy, 67 (58.8%) were alive at 30 days. A fAUC/MIC >27.43 was associated with survival in low-acuity (n = 77) patients (68.9 vs 37.5%, P = .006), which remained significant after adjusting for infection source and immunosuppression (P = .026). The PTA for a 6-mg/kg/day (every 24 hours) dose was 1.5%-5.5% when the MIC was 4 mg/L (ie, daptomycin-susceptible) and 91.0%-97.9% when the MIC was 1 mg/L.

conclusionsFor enterococcal bacteremia, a daptomycin fAUC/MIC >27.43 was associated with 30-day survival among low-acuity patients. As pharmacodynamics for the approved dose are optimized only when MIC ≤1 mg/L, these data continue to stress the importance of reevaluation of the susceptibility breakpoint.

Indexed as

AdultAgedAnti-Bacterial AgentsBacteremiaDaptomycinEnterococcusFemaleGram-Positive Bacterial InfectionsHospitalizationHumansMaleMeta-Analysis as TopicMicrobial Sensitivity TestsMiddle AgedRegression AnalysisRetrospective StudiesAnti-Bacterial AgentsDaptomycinbacteremiadaptomycinEnterococcuspharmacodynamics

Identifiers

PMID30188976
PMCPMC6938208
OpenAlexW2891953783

What OpenQuestion holds

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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.