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Correlation of antimicrobial fraction unbound and sieving coefficient in critically ill patients on continuous renal replacement therapy: a systematic review.
Farrar, Julie E; Mueller, Scott W; Stevens, Victoria; Kiser, Tyree H; Taleb, Sim; Reynolds, Paul M.
Afiliação
  • Farrar JE; Auburn University Harrison School of Pharmacy, 650 Clinic Dr, Mobile, AL 36688, USA.
  • Mueller SW; University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, 12850 E. Montview Blvd, Aurora, CO 80045, USA.
  • Stevens V; University of Colorado Hospital, 12505 E 16th Ave, Aurora, CO 80045, USA.
  • Kiser TH; University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, 12850 E. Montview Blvd, Aurora, CO 80045, USA.
  • Taleb S; University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, 12850 E. Montview Blvd, Aurora, CO 80045, USA.
  • Reynolds PM; University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, 12850 E. Montview Blvd, Aurora, CO 80045, USA.
J Antimicrob Chemother ; 77(2): 310-319, 2022 02 02.
Article em En | MEDLINE | ID: mdl-35107138
ABSTRACT

BACKGROUND:

Fraction unbound has been used as a surrogate for antimicrobial sieving coefficient (SC) to predict extracorporeal clearance in critically ill patients on continuous renal replacement therapy (CRRT), but this is based largely on expert opinion.

OBJECTIVES:

To examine relationships between package insert-derived fraction unbound (Fu-P), study-specific fraction unbound (Fu-S), and SC in critically ill patients receiving CRRT.

METHODS:

English-language studies containing patient-specific in vivo pharmacokinetic parameters for antimicrobials in critically ill patients requiring CRRT were included. The primary outcome included correlations between Fu-S, Fu-P, and SC. Secondary outcomes included correlations across protein binding quartiles, serum albumin, and predicted in-hospital mortality, and identification of predictors for SC through multivariable analysis.

RESULTS:

Eighty-nine studies including 32 antimicrobials were included for analysis. SC was moderately correlated to Fu-S (R2 = 0.55, P < 0.001) and Fu-P (R2 = 0.41, P < 0.001). SC was best correlated to Fu-S in first (<69%) and fourth (>92%) quartiles of fraction unbound and above median albumin concentrations of 24.5 g/L (R2 = 0.71, P = 0.07). Conversely, correlation was weaker in patients with mortality estimates greater than the median of 55% (R2 = 0.06, P = 0.84). SC and Fu-P were also best correlated in the first quartile of antimicrobial fraction unbound (R2 = 0.66, P < 0.001). Increasing Fu-P, flow rate, membrane surface area, and serum albumin, and decreasing physiologic charge significantly predicted increasing SC.

CONCLUSIONS:

Fu-S and Fu-P were both reasonably correlated to SC. Caution should be taken when using Fu-S to calculate extracorporeal clearance in antimicrobials with 69%-92% fraction unbound or with >55% estimated in-hospital patient mortality. Fu-P may serve as a rudimentary surrogate for SC when Fu-S is unavailable.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terapia de Substituição Renal Contínua / Anti-Infecciosos Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Antimicrob Chemother Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terapia de Substituição Renal Contínua / Anti-Infecciosos Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Antimicrob Chemother Ano de publicação: 2022 Tipo de documento: Article