Staphylococcus lugdunensis prosthetic joint infection: A multicentric cohort study.

OBJECTIVES: To describe Staphylococcus lugdunensis prosthetic joint infection (PJI) management and outcome. METHODS: Adults with proven S. lugdunensis PJI were included in a multicentric retrospective cohort. Determinants for failure were assessed by logistic regression and treatment failure-free survival curve analysis (Kaplan-Meier). RESULTS: One hundred and eleven patients were included (median age 72.4 [IQR, 62.7-79.4] years), with a knee (n = 71, 64.0%) or hip (n = 39, 35.1%) PJI considered as chronic in 77 (69.4%) cases. Surgical management consisted in debridement, antibiotic with implant retention (DAIR; n = 60, 54.1%), two-stage (n = 28, 25.2%) or one-stage (n = 15, 13.5%) exchange. Total duration of antimicrobial therapy was 13.1 (IQR, 11.8-16.9) weeks. After a median follow-up of 99.9 (IQR, 53.9-178.1) weeks, 22 (19.8%) S. lugdunensis-related treatment failures were observed. Independent determinants for outcome were diabetes (OR, 3.741; p = 0.036), sinus tract (OR, 3.846; p = 0.032), DAIR (OR, 3.749; p = 0.039) and rifampin-based regimen (OR, 0.319; p = 0.043). Twenty-four (40.0%) of the 60 DAIR-treated patients experienced treatment failure, with hip location (OR, 3.273; p = 0.048), delay from prosthesis implantation (OR, 1.012 per month; p = 0.019), pre-surgical CRP level >115 mg/L (OR, 4.800; p = 0.039) and mobile component exchange (OR, 0.302; p = 0.069) constituting additional determinants of outcome. CONCLUSIONS: Staphylococcus lugdunensis PJI are difficult-to-treat infections, with pivotal roles of an optimal surgical management.

Implementation and Comparison of Two Pharmacometric Tools for Model-Based Therapeutic Drug Monitoring and Precision Dosing of Daptomycin.

Daptomycin is a candidate for therapeutic drug monitoring (TDM). The objectives of this work were to implement and compare two pharmacometric tools for daptomycin TDM and precision dosing. A nonparametric population PK model developed from patients with bone and joint infection was implemented into the BestDose software. A published parametric model was imported into Tucuxi. We compared the performance of the two models in a validation dataset based on mean error (ME) and mean absolute percent error (MAPE) of individual predictions, estimated exposure and predicted doses necessary to achieve daptomycin efficacy and safety PK/PD targets. The BestDose model described the data very well in the learning dataset. In the validation dataset (94 patients, 264 concentrations), 21.3% of patients were underexposed (AUC24h < 666 mg.h/L) and 31.9% of patients were overexposed (Cmin > 24.3 mg/L) on the first TDM occasion. The BestDose model performed slightly better than the model in Tucuxi (ME = -0.13 ± 5.16 vs. -1.90 ± 6.99 mg/L, p < 0.001), but overall results were in agreement between the two models. A significant proportion of patients exhibited underexposure or overexposure to daptomycin after the initial dosage, which supports TDM. The two models may be useful for model-informed precision dosing.

Population pharmacokinetics of daptomycin in patients with bone and joint infection: minimal effect of rifampicin co-administration and confirmation of a sex difference.

BACKGROUND: Daptomycin is increasingly used in the treatment of bone and joint infection (BJI), but its pharmacokinetics (PK) and dosage requirements have not been thoroughly investigated in this indication. Daptomycin may be co-administered with rifampicin, which raises questions about a potential drug interaction. OBJECTIVES: To investigate the population PK and dosage requirements of daptomycin in patients with BJI, and examine the influence of rifampicin co-administration. METHODS: A population approach was used to analyse PK data from patients who received daptomycin in our regional reference for BJI. We examined the influence of available covariates, including rifampicin co-administration on daptomycin PK. Simulations performed with the final model investigated the influence of dosages and covariates on PTA for both efficacy and safety. RESULTS: A total of 1303 daptomycin concentrations from 183 patients were analysed. A two-compartment model best described the data. Significant intra-individual variability was observed. Daptomycin clearance was influenced by renal function and sex, with females having a 26% lower typical clearance than males. Central volume of distribution (V1) was influenced by body weight, age, sex and rifampicin co-administration. Typical V1 was 11% lower in patients who were co-administered rifampicin. In PK/PD simulations, sex influenced the probability of AUC24/MIC target attainment, while rifampicin had a marginal effect. CONCLUSIONS: A daptomycin dosage of 8 mg/kg/24 h in women and 10 mg/kg/24 h in men should optimize efficacy but may lead to excessive trough concentrations in many patients, especially in women. Therapeutic drug monitoring appears necessary for precision dosing of daptomycin.

Risk factors for nontuberculous mycobacterial isolation in patients with cystic fibrosis: A meta-analysis.

BACKGROUND: To better understand the mechanisms of infection with nontuberculous mycobacteria (NTM) in patients with cystic fibrosis (CF), we explore different risk factors associated with NTM positivity in a meta-analysis. METHODS: Studies published before 31 July 2019 were selected from MEDLINE. Combined odds ratios (ORs) were calculated by pooling the ORs of each study. The weighted mean difference (WMD) was used for continuous numerical measurements. Summary data were pooled using fixed- or random-effects models according to the presence of heterogeneity (P < .1 or I2 > 50%). RESULTS: Nineteen studies with a total of 23 418 patients, of whom 1421 (6%) were diagnosed as NTM positive, were included. Older age was significantly associated with NTM positivity (WMD = 2.12, 95% confidence interval [CI]: 1.11-3.13; P < .01, fixed-effects model). The OR for Staphylococcus aureus colonization was 1.66 (95% CI: 1.21-2.26; P = .001) in 11 studies (8091 patients), the OR for Aspergillus fumigatus colonization was 3.59 (95% CI: 3.05-4.23; P < .001) in 11 studies (20 480 patients), and the OR for Stenotrophomonas maltophilia colonization was 3.41 (95% CI: 2.66-4.39; P < .01) in seven studies (14 935 patients). Oral corticosteroids were significantly associated with NTM positivity (OR = 1.98, 95% CI: 1.24-3.16; P < .01, 6 studies, 1936 patients). No other factor showed a significant association. CONCLUSION: Older age, S. aureus, S. maltophilia, and A. fumigatus chronic colonization, and oral corticosteroids were significantly associated with an increased risk of NTM positivity. CF patients with more severe conditions should be closely monitored for NTM.

Genetic polymorphisms of ABCB1 (P-glycoprotein) as a covariate influencing daptomycin pharmacokinetics: a population analysis in patients with bone and joint infection.

BACKGROUND: Daptomycin has been recognized as a therapeutic option for the treatment of bone and joint infection (BJI). Gene polymorphism of ABCB1, the gene encoding P-glycoprotein (P-gp), may influence daptomycin pharmacokinetics (PK). OBJECTIVES: We aimed to examine population PK of daptomycin and its determinants, including genetic factors, in patients with BJI. PATIENTS AND METHODS: We analysed data from patients who received daptomycin for BJI between 2012 and 2016 in our regional reference centre and who had measured daptomycin concentrations and P-gp genotyping. A population approach was used to analyse PK data. In covariate analysis, we examined the influence of three single nucleotide variations (SNVs) of ABCB1 (3435C > T, 2677G > T/A and 1236C > T) and that of the corresponding haplotype on daptomycin PK parameters. Simulations performed with the final model examined the influence of covariates on the probability to achieve pharmacodynamic (PD) targets. RESULTS: Data from 81 patients were analysed. Daptomycin body CL (CLDAP) correlated with CLCR and was 23% greater in males than in females. Daptomycin central V (V1) was allometrically scaled to body weight and was 25% lower in patients with homozygous CGC ABCB1 haplotype than in patients with any other genotype. Simulations performed with the model showed that sex and P-gp haplotype may influence the PTA for high MIC values and that a dosage of 10 mg/kg/24 h would optimize efficacy. CONCLUSIONS: Daptomycin dosages higher than currently recommended should be evaluated in patients with BJI. Gender and P-gp gene polymorphism should be further examined as determinants of dosage requirements.

High incidence of non-tuberculous mycobacteria-positive cultures among adolescent with cystic fibrosis.

BACKGROUND: We evaluated the prevalence of non-tuberculous mycobacteria (NTM)-positive cultures among our cystic fibrosis (CF) center patients, reviewed risk factors for NTM positivity, and determined its impact on lung function evolution. METHODS: From 2009 to 2014, CF adults and children attending the CF center of Lyon (France) and having at least one positive NTM isolate were included. Each case was matched by age and gender with two CF patients with no NTM isolate (controls). RESULTS: 48 CF patients with NTM-positive isolates were matched to 96 controls. The age group for whom incident NTM was higher was young adolescents aged 13 to 17. A significant association for NTM positivity was found with Staphylococcusaureus in multivariate analysis and with allergic bronchopulmonary aspergillosis, corticosteroid and itraconazole in univariate analysis. Mean annual FEV1 decline was faster for NTM-positive patients compared to controls. CONCLUSION: These data highlight the high incidence of NTM-positive cultures among young adolescents with CF.