Nationwide analysis of treatment outcomes in children and adolescents routinely treated for tuberculosis in The Netherlands

Background: As a vulnerable population, children and adolescents with tuberculosis (TB) are faced with many challenges, even those who live in low TB incidence countries. We aimed to evaluate factors associated with TB treatment outcomes allowing more focused interventions to support this population once diagnosed. Methods: A retrospective cohort study using a nationwide surveillance database was performed in children and adolescents (aged 0-18 years) treated for TB in the Netherlands from 1993 to 2018. Logistic regression analyses were used to estimate adjusted odds ratios (aOR) for associated factors of mortality and loss to follow-up (LTFU). Results: Among 3253 eligible patients with known outcomes, 94.4% (95.9% children and 92.8% adolescents) were cured or completed treatment, 0.7% died during treatment and 4.9% were LTFU. There were no reported treatment failures. Risk factors of death included children aged 2-4 years (aOR 10.42), central nervous system TB (aOR 5.14), miliary TB (aOR 10.25), HIV co-infection (aOR 8.60), re-treated TB cases (aOR 10.12) and drug-induced liver injury (aOR 6.50). Active case-finding was a protective factor of death (aOR 0.13). Risk factors of LTFU were adolescents aged 15-18 years (aOR 1.91), illegal immigrants (aOR 4.28), urban domicile (aOR 1.59), unknown history of TB contact (aOR 1.99), drug-resistant TB (aOR 2.31), single adverse drug reaction (aOR 2.12), multiple adverse drug reactions (aOR 7.84) and treatment interruption >14 days (aOR 6.93). Treatment in recent years (aOR 0.94) and supervision by public health nurses (aOR 0.14) were protective factors of LTFU. Conclusion: Highly successful treatment outcomes were demonstrated in children and adolescents routinely treated for TB. Special attention should be given to specific risk groups to improve treatment outcomes

Pharmacokinetic Modeling, Simulation, and Development of a Limited Sampling Strategy of Cycloserine in Patients with Multidrug-/Extensively Drug-Resistant Tuberculosis

BACKGROUND AND OBJECTIVE: Multidrug-resistant tuberculosis has much poorer treatment outcomes compared with drug-susceptible tuberculosis because second-line drugs for treating multidrug resistant tuberculosis are less effective and are frequently associated with side effects. Optimization of drug treatment is urgently needed. Cycloserine is a second-line tuberculosis drug with variable pharmacokinetics and thus variable exposure when programmatic doses are used. The objective of this study was to develop a population pharmacokinetic model of cycloserine to assess drug exposure and to develop a limited sampling strategy for cycloserine exposure monitoring. MATERIAL AND METHODS: Patients with multidrug-/extensively drug-resistant tuberculosis who were treated for > 7 days with cycloserine were eligible for inclusion. Patients received cycloserine 500 mg (body weight ≤ 50 kg) or 750 mg (body weight > 50 kg) once daily. MW/Pharm 3.83 (Mediware, Groningen, The Netherlands) was used to parameterize the population pharmacokinetic model. The model was compared with pharmacokinetic values from the literature and evaluated with a bootstrap analysis, Monte Carlo simulation, and an external dataset. Monte Carlo simulations were used to develop a limited sampling strategy. RESULTS: Cycloserine plasma concentration vs time curves were obtained from 15 hospitalized patients (nine male, six female, median age 35 years). Mean dose/kg body weight was 11.5 mg/kg (standard deviation 2.04 mg/kg). Median area under the concentration-time curve over 24 h (AUC0-24 h) of cycloserine was 888 h mg/L (interquartile range 728-1252 h mg/L) and median maximum concentration of cycloserine was 23.31 mg/L (interquartile range 20.14-33.30 mg/L). The final population pharmacokinetic model consisted of the following pharmacokinetic parameters [mean (standard deviation)]: absorption constant Ka_po of 0.39 (0.31) h-1, distribution over the central compartment (Vd) of 0.54 (0.26) L/kg LBM, renal clearance as fraction of the estimated glomerular filtration rate of 0.092 (0.038), and metabolic clearance of 1.05 (0.75) L/h. The population pharmacokinetic model was successfully evaluated with a bootstrap analysis, Monte Carlo simulation, and an external dataset of Chinese patients (difference of 14.6% and 19.5% in measured and calculated concentrations and AUC0-24 h, respectively). Root-mean-squared-errors found in predicting the AUC0-24 h using a one- (4 h) and a two- (2 h and 7 h) limited sampling strategy were 1.60% and 0.14%, respectively. CONCLUSIONS: This developed population pharmacokinetic model can be used to calculate cycloserine concentrations and exposure in patients with multidrug-/extensively drug-resistant tuberculosis. This model was successfully validated by internal and external validation methods. This study showed that the AUC0-24 h of cycloserine can be estimated in patients with multidrug-/extensively drug-resistant tuberculosis using a 1- or 2-point limited sampling strategy in combination with the developed population pharmacokinetic model. This strategy can be used in studies to correlate drug exposure with clinical outcome. This study also showed that good target attainment rates, expressed by time above the minimal inhibitory concentration, were obtained for cycloserine with a minimal inhibitory concentration of 5 and 10 mg/L, but low rates with a minimal inhibitory concentration of 20 and 32.5 mg/L

Treatment outcomes of drug-resistant tuberculosis in the Netherlands, 2005-2015

Background: Since in low incidence TB countries population migration and complex treatment of drug-resistant tuberculosis (DR-TB) patients are major issues, we aimed to analyse patient risk factors associated with the incidence of poor outcome of TB treatment among DR-TB patients in the Netherlands. Methods: This retrospective cohort study included adult patients with confirmed DR-TB treated from 2005 to 2015. We obtained data from a nationwide exhaustive registry of tuberculosis patients in the Netherlands. Predictors for unsuccessful TB treatment (defaulted and failed treatment) and TB-associated mortality were analysed using multivariate logistic regression. Results: Among 10,303 registered TB patients, 545 patients with DR-TB were analysed. Six types of DR-TB were identified from the included patients, i.e. isoniazid mono- or poly-resistance (68%); rifampicin mono- or poly-resistance (3.1%); pyrazinamide mono-resistance (8.3%); ethambutol mono-resistance (0.1%); multidrug-resistance (18.9%); and extensively drug-resistance (0.7%). The majority of patients were foreign-born (86%) and newly diagnosed TB (89%) patients. The cumulative incidence of unsuccessful treatment and mortality were 5 and 1%, respectively. Among all DR-TB cases, patients with Multi Drug-Resistant Tuberculosis (MDR-TB) (OR 4.43; 95%CI 1.70-11.60) were more likely to have unsuccessful treatment, while miliary and central nervous system TB (OR 15.60; 95%CI 2.18-111.52) may also be predictors for TB mortality. Additionally, patients with substance abuse and homelessness tend to have unsuccessful treatment. Conclusions: In recent years, we identified a low incidence of DR-TB as well as the poor outcome of DR-TB treatment. The majority of cases were primary drug-resistant and foreign-born. To further improve treatment outcome, special attention should be given to the high-risk DR-TB patients

Towards elimination of childhood and adolescent tuberculosis in the Netherlands: an epidemiological time-series analysis of national surveillance data.

BACKGROUND: Tuberculosis (TB) in children and adolescents is a sentinel event for ongoing transmission. In the Netherlands, epidemiological characteristics of childhood and adolescent TB have not been fully evaluated. Therefore, we aimed to assess TB epidemiology within this population to provide guidance for TB elimination. METHODS: A retrospective time-series analysis using national surveillance data from 1993-2018 was performed in children (aged <15 years) and adolescents (aged 15-19 years) with TB. Poisson regression models offset with log-population size were used to estimate notification rates and rate ratios. Trends in notification rates were estimated using average annual percent changes (AAPC) based on the segmented linear regression analysis. RESULTS: Among 3899 children and adolescents with TB notified during 1993-2018, 2418 (62%) were foreign-born (725 [41.3%] of 1755 children and 1693 [78.9%] of 2144 adolescents). Overall notification rate in children was 2.3/100 000 person-years, declining steadily during the study period (AAPC: -10.9%; 95% CI: -12.6 to -9.1). In adolescents, overall notification rate was 8.4/100 000 person-years, strongly increasing during 1993-2001 and 2012-2018. Compared to Dutch-born, substantially higher notification rates were observed among African-born children and adolescents (116.8/100 000 and 316.6/100 000 person-years, respectively). Additionally, an increasing trend was observed in African-born adolescents (AAPC: 18.5%; 95% CI: 11.9-25.5). Among the foreign-born population, those from countries in the horn of Africa contributed most to the TB caseload. CONCLUSION: TB notification rate among children was low and constantly declining across different demographic groups. However, heterogeneities were shown in adolescents, with an increasing trend in the foreign-born, particularly those from Africa

Pharmacokinetic/pharmacodynamic-based optimization of levofloxacin administration in the treatment of MDR-TB

The emergence of MDR-TB and XDR-TB has complicated TB treatment success. Among many factors that contribute to the development of resistance, low drug exposure is not the least important. This review summarizes the available information on pharmacokinetic properties of levofloxacin in relation to microbial susceptibilities, in order to optimize the dose and make general treatment recommendations. A total of 37 studies on adult (32 studies) and paediatric (5 studies) MDR-TB patients were included. Among the 32 adult studies, 19 were on susceptibility of Mycobacterium tuberculosis isolates to levofloxacin by MIC, 1 was on susceptibility of M. tuberculosis isolates to levofloxacin by MBC, 1 was on susceptibility of M. tuberculosis isolates to levofloxacin by mutant prevention concentration and 4 were on pharmacokinetics of levofloxacin, and 7 others were included. Likewise, out of five studies on children, two dealt with levofloxacin pharmacokinetic parameters, one reviewed CSF concentrations and two dealt with background information. In adult MDR-TB patients, standard dosing of once-daily 1000 mg levofloxacin in TB treatment did not consistently attain the target concentration (i.e. fAUC/MIC > 100 and fAUC/MBC > 100) in 80% of the patients with MIC and MBC of 1 mg/L, leaving them at risk of developing drug resistance. However, with an MIC of 0.5 mg/L, 100% of the patients achieved the target concentration. Similarly, paediatric patients failed consistently in achieving given pharmacokinetic/pharmacodynamic targets due to age-related differences, demanding a shift towards once daily dosing of 15-20 mg/kg. Therefore, we recommend therapeutic drug monitoring for patients with strains having MICs of a parts per thousand yen0.5 mg/L and suggest revising the cut-off value from 2 to 1 mg/L