Evidence map›Paper›PMID 35884168›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Daptomycin Population Pharmacokinetics in Patients Affected by Severe Gram-Positive Infections: An Update.

Giuseppe Balice, Claudio Passino, Maria Grazia Bongiorni, Luca Segreti, Alessandro Russo, Marianna Lastella, Giacomo Luci, Marco Falcone, Antonello Di Paolo

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

9 authors at 3 institutions in 2 countries.

Giuseppe BaliceSant'Anna School of Advanced Studies, Piazza Martiri della Libertà, 56127 Pisa, Italy.ORCID 0000-0002-0152-9171
Claudio PassinoSant'Anna School of Advanced Studies, Piazza Martiri della Libertà, 56127 Pisa, Italy.
Maria Grazia BongiorniUnit of Cardiovascular Diseases, Pisa University Hospital, Via Paradisa 2, 56100 Pisa, Italy.
Luca SegretiUnit of Cardiovascular Diseases, Pisa University Hospital, Via Paradisa 2, 56100 Pisa, Italy.
Alessandro RussoInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100 Catanzaro, Italy.ORCID 0000-0003-3846-4620
Marianna LastellaDepartment of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126 Pisa, Italy.
Giacomo LuciDepartment of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126 Pisa, Italy.
Marco FalconeUnit of Infectious Diseases, Pisa University Hospital, Via Paradisa 2, 56100 Pisa, Italy.
Antonello Di PaoloDepartment of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126 Pisa, Italy.ORCID 0000-0002-2661-6183
University of Pisa · ITScuola Superiore Sant'Anna · ITMagna Graecia University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Daptomycin pharmacokinetics may not depend on renal function only and it significantly differs between healthy volunteers and severely ill patients. Herein, we propose a population pharmacokinetics model based on 424 plasma daptomycin concentrations collected from 156 patients affected by severe Gram-positive infections during a routine therapeutic drug monitoring protocol. Model building and validation were performed using NONMEM 7.2 (ICON plc), Xpose4 and Perl-speaks-to-NONMEM. The final pop-PK model was a one-compartment first-order elimination model, with a 2.7% IIV for drug clearance (Cl), influence of creatinine clearance on drug clearance and of sex on distribution volume. After model validation, we simulated 10,000 patients with the Monte-Carlo method to predict the efficacy and tolerability of different daptomycin daily dosages. For the most common 6 mg/kg daily dose, the simulated probability of overcoming the toxic minimum concentration (24.3 mg/L) was 14.8% and the efficacy (expressed as a cumulative fraction of response) against methicillin-resistant

Indexed as

daptomycinefficacypopulation pharmacokineticssimulationtoxicity

Identifiers

PMID35884168
PMCPMC9311615
OpenAlexW4284709760

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.