• Something wrong with this record ?

Implementation and validation of a Bayesian method for accurately forecasting duration of optimal pharmacodynamic target attainment with dalbavancin during long-term use for subacute and chronic staphylococcal infections

PG. Cojutti, M. Gatti, N. Punt, J. Douša, E. Zamparini, S. Tedeschi, P. Viale, F. Pea

. 2024 ; 63 (1) : 107038. [pub] 20231121

Language English Country Netherlands

Document type Journal Article

Dalbavancin is increasingly being used for long-term treatment of subacute and chronic staphylococcal infections. In this study, a new Bayesian model was implemented and validated using MwPharm software for accurately forecasting the duration of pharmacodynamic target attainment above the efficacy thresholds of 4.02 mg/L or 8.04 mg/L against staphylococci. Forecasting accuracy improved substantially with the a posteriori approach compared with the a priori approach, particularly when two measured concentrations were used. This strategy may help clinicians to estimate the duration of optimal exposure with dalbavancin in the context of long-term treatment.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24007795
003      
CZ-PrNML
005      
20240423160257.0
007      
ta
008      
240412s2024 ne f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.ijantimicag.2023.107038 $2 doi
035    __
$a (PubMed)37981075
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a ne
100    1_
$a Cojutti, Pier Giorgio $u Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy; Clinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy. Electronic address: piergiorgio.cojutti@unibo.it
245    10
$a Implementation and validation of a Bayesian method for accurately forecasting duration of optimal pharmacodynamic target attainment with dalbavancin during long-term use for subacute and chronic staphylococcal infections / $c PG. Cojutti, M. Gatti, N. Punt, J. Douša, E. Zamparini, S. Tedeschi, P. Viale, F. Pea
520    9_
$a Dalbavancin is increasingly being used for long-term treatment of subacute and chronic staphylococcal infections. In this study, a new Bayesian model was implemented and validated using MwPharm software for accurately forecasting the duration of pharmacodynamic target attainment above the efficacy thresholds of 4.02 mg/L or 8.04 mg/L against staphylococci. Forecasting accuracy improved substantially with the a posteriori approach compared with the a priori approach, particularly when two measured concentrations were used. This strategy may help clinicians to estimate the duration of optimal exposure with dalbavancin in the context of long-term treatment.
650    _2
$a lidé $7 D006801
650    12
$a antibakteriální látky $x terapeutické užití $x farmakologie $7 D000900
650    _2
$a Bayesova věta $7 D001499
650    _2
$a mikrobiální testy citlivosti $7 D008826
650    _2
$a teikoplanin $x terapeutické užití $x farmakologie $7 D017334
650    12
$a stafylokokové infekce $x farmakoterapie $7 D013203
650    _2
$a Staphylococcus $7 D013210
655    _2
$a časopisecké články $7 D016428
700    1_
$a Gatti, Milo $u Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy; Clinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
700    1_
$a Punt, Nieko $u Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Medimatics, Maastricht, The Netherlands
700    1_
$a Douša, Jiři $u Department of Pharmacology and Toxicology, First Faculty of Medicine, Charles University in Prague, Czech Republic; Mediware a.s., Prague, Czech Republic
700    1_
$a Zamparini, Eleonora $u Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy; Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
700    1_
$a Tedeschi, Sara $u Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy; Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
700    1_
$a Viale, Pierluigi $u Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy; Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
700    1_
$a Pea, Federico $u Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy; Clinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
773    0_
$w MED00005050 $t International journal of antimicrobial agents $x 1872-7913 $g Roč. 63, č. 1 (2024), s. 107038
856    41
$u https://pubmed.ncbi.nlm.nih.gov/37981075 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20240412 $b ABA008
991    __
$a 20240423160253 $b ABA008
999    __
$a ok $b bmc $g 2081658 $s 1217562
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 63 $c 1 $d 107038 $e 20231121 $i 1872-7913 $m International journal of antimicrobial agents $n Int J Antimicrob Agents $x MED00005050
LZP    __
$a Pubmed-20240412

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...