Daptomycin Exposure as a Risk Factor for Daptomycin-Induced Eosinophilic Pneumonia and Muscular Toxicity

Author:

Garreau Romain12ORCID,Pham Truong-Thanh34ORCID,Bourguignon Laurent125,Millet Aurélien6,Parant François6,Bussy David4,Desevre Marine4,Franchi Victor4,Ferry Tristan457,Goutelle Sylvain125ORCID

Affiliation:

1. Hospices Civils de Lyon, Groupement Hospitalier Nord, Service de Pharmacie , Lyon , France

2. LBBE—Laboratoire de Biométrie et Biologie Evolutive, CNRS, UMR 5558, Université Lyon 1 , Villeurbanne , France

3. Division of Infectious Diseases, Geneva University Hospitals , Geneva , Switzerland

4. Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital de la Croix-Rousse, Service des Maladies Infectieuses et Tropicales, Centre de Référence pour la prise en charge des Infections Ostéo-Articulaires complexes (CRIOAc Lyon) , Lyon , France

5. Facultés de Médecine et de Pharmacie de Lyon, Univ Lyon, Université Lyon 1, ISPB , Lyon , France

6. Hospices Civils de Lyon, Groupement Hospitalier Sud, Service de Biochimie et Biologie Moléculaire, UM Pharmacologie -Toxicologie , Lyon , France

7. CIRI—Centre International de Recherche en Infectiologie, Inserm, U1111, Université́ Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Univ Lyon , Lyon , France

Abstract

Abstract Background High-dose daptomycin is increasingly used in patients with bone and joint infection (BJI). This raises concerns about a higher risk of adverse events (AEs), including daptomycin-induced eosinophilic pneumonia (DIEP) and myotoxicity. We aimed to examine pharmacokinetic and other potential determinants of DIEP and myotoxicity in patients with BJI receiving daptomycin. Methods All patients receiving daptomycin for BJI were identified in a prospective cohort study. Cases were matched at a 1:3 ratio, with controls randomly selected from the same cohort. Bayesian estimation of the daptomycin daily area under the concentration-time curve over 24 hours (AUC24h) was performed with the Monolix software based on therapeutic drug monitoring (TDM) data. Demographic and biological data were also collected. Risk factors of AEs were analyzed using Cox proportional hazards model. Results From 1130 patients followed over 7 years, 9 with DIEP, 26 with myotoxicity, and 106 controls were included in the final analysis. Daptomycin AUC24h, C-reactive protein, and serum protein levels were associated with the risk of AEs. The adjusted hazard ratio of DIEP or myotoxicity was 3.1 (95% confidence interval [CI], 1.48–6.5; P < .001) for daptomycin AUC24h > 939 mg/h/L, 9.8 (95% CI, 3.94–24.5; P < .001) for C-reactive protein > 21.6 mg/L, and 2.4 (95% CI, 1.02–5.65; P = .04) for serum protein <72 g/L. Conclusions We identified common determinants of DIEP and myotoxicity in patients with BJI. Because the risk of AEs was associated with daptomycin exposure, daptomycin TDM and model-informed precision dosing may help optimize the efficacy and safety of daptomycin treatment in this setting. A target AUC24h range of 666 to 939 mg/h/L is suggested.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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