Evidence map›Paper›PMID 29762386›Full record

ArticleThe Pediatric infectious disease journal2018

Exposure-Response Analysis of Micafungin in Neonatal Candidiasis: Pooled Analysis of Two Clinical Trials.

Laura L Kovanda, Thomas J Walsh, Daniel K Benjamin, Antonio Arrieta, David A Kaufman, P Brian Smith, Paolo Manzoni, Amit V Desai, Atsunori Kaibara, Peter L Bonate and 1 more

Abstract read
In one paragraph

Article in The Pediatric infectious disease journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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

11 authors at 7 institutions in 3 countries.

Laura L KovandaFrom the Global Development, Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.
Thomas J WalshWeill department of medicine, Weill Cornell Medicine of Cornell University, New York, New York.
Daniel K BenjaminDuke Department of Pediatrics, Duke University Medical Center, Durham, North Carolina.
Antonio ArrietaDivision of Infectious Disease Children's Hospital of Orange County, Orange County, California.
David A KaufmanDepartment of Pediatrics, University of Virginia Health System, Charlottesville, Virginia.
P Brian SmithDuke Department of Pediatrics, Duke University Medical Center, Durham, North Carolina.
Paolo ManzoniNeonatology and NICU, Azienda Ospedaliera OIRM-Sant'Anna Hospital, Torino, Italy.
Amit V DesaiClinical Pharmacology and Exploratory Development, Astellas Pharma Global Development, Inc., Northbrook, Illinois.
Atsunori KaibaraClinical Pharmacology and Exploratory Development, Astellas Pharma Global Development, Inc., Northbrook, Illinois.
Peter L BonateClinical Pharmacology and Exploratory Development, Astellas Pharma Global Development, Inc., Northbrook, Illinois.
William W HopeFrom the Global Development, Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.
Center for Global Development · USDuke Medical Center · USUniversity of Liverpool · GBAstellas Pharma (United States) · USChildren's Hospital of Orange County · USCornell University · USUniversity of Virginia Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal candidiasis causes significant morbidity and mortality in high risk infants. The micafungin dosage regimen of 10 mg/kg established for the treatment of neonatal candidiasis is based on a laboratory animal model of neonatal hematogenous Candida meningoencephalitis and pharmacokinetic (PK)-pharmacodynamic (PD) bridging studies. However, little is known about the how these PK-PD data translate clinically.

methodsMicafungin plasma concentrations from infants were used to construct a population PK model using Pmetrics software. Bayesian posterior estimates for infants with invasive candidiasis were used to evaluate the relationship between drug exposure and mycologic response using logistic regression.

resultsSixty-four infants 3-119 days of age were included, of which 29 (45%) infants had invasive candidiasis. A 2-compartment PK model fits the data well. Allometric scaling was applied to clearance and volume normalized to the mean population weight (kg). The mean (standard deviation) estimates for clearance and volume in the central compartment were 0.07 (0.05) L/h/1.8 kg and 0.61 (0.53) L/1.8 kg, respectively. No relationship between average daily area under concentration-time curve or average daily area under concentration-time curve:minimum inhibitory concentration ratio and mycologic response was demonstrated (P > 0.05). Although not statistically significant, mycologic response was numerically higher when area under concentration-time curves were at or above the PD target.

conclusionsWhile a significant exposure-response relationship was not found, PK-PD experiments support higher exposures of micafungin in infants with invasive candidiasis. More patients would clarify this relationship; however, low incidence deters the feasibility of these studies.

Indexed as

Antifungal AgentsBayes TheoremCandidiasis, InvasiveClinical Trials as TopicDose-Response Relationship, DrugFemaleHumansInfantInfant, NewbornMaleMicafunginMicrobial Sensitivity TestsMonte Carlo MethodAntifungal AgentsMicafungin

Identifiers

PMID29762386
PMCPMC6110378
OpenAlexW2942953890

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.