Expanding regulatory science: Regulatory complementarity and reliance.

Drug regulatory institutions, infrastructures, and systems are becoming increasingly interconnected across national boundaries and increasingly global in outlook. This process is reflected in the broadening and deepening application of the principles and practice of Regulatory Reliance, and parallel initiatives to strengthen the capacities of regulatory institutions in low- and middle-income countries (LMICs). Although these developments are important and constructive, they have tended to be framed in terms of the transfer of systems, knowledge, and skills from relatively "mature" regulatory agencies in high-income countries (HICs) to less-well-resourced regulatory agencies in LMICs. This framing recognizes and foregrounds the considerable practical challenges that many LMIC regulatory agencies face, but in doing so, also backgrounds and underestimates the significance of the different contextual insights that LMIC health researchers and regulators can bring to the regulatory deliberations of their HIC counterparts. This position paper argues that the systematic pursuit, identification, and sharing of these different contextual insights-a dimension of regulatory science that we term "Regulatory Complementarity"-can augment the current practice and goals of Regulatory Reliance, and further invigorate the emerging global regulatory ecosystem.

Retrospective Analysis Using Pharmacokinetic/Pharmacodynamic Modeling and Simulation Offers Improvements in Efficiency of the Design of Volunteer Infection Studies for Antimalarial Drug Development.

Volunteer infection studies using the induced blood stage malaria (IBSM) model have been shown to facilitate antimalarial drug development. Such studies have traditionally been undertaken in single-dose cohorts, as many as necessary to obtain the dose-response relationship. To enhance ethical and logistic aspects of such studies, and to reduce the number of cohorts needed to establish the dose-response relationship, we undertook a retrospective in silico analysis of previously accrued data to improve study design. A pharmacokinetic (PK)/pharmacodynamic (PD) model was developed from initial fictive-cohort data for OZ439 (mixing the data of the three single-dose cohorts as: n = 2 on 100 mg, 2 on 200 mg, and 4 on 500 mg). A three-compartment model described OZ439 PKs. Net growth of parasites was modeled using a Gompertz function and drug-induced parasite death using a Hill function. Parameter estimates for the PK and PD models were comparable for the multidose single-cohort vs. the pooled analysis of all cohorts. Simulations based on the multidose single-cohort design described the complete data from the original IBSM study. The novel design allows for the ascertainment of the PK/PD relationship early in the study, providing a basis for rational dose selection for subsequent cohorts and studies.

Model-Informed Drug Development for Malaria Therapeutics.

Malaria is a critical public health problem resulting in substantial morbidity and mortality, particularly in developing countries. Owing to the development of resistance toward current therapies, novel approaches to accelerate the development efforts of new malaria therapeutics are urgently needed. There have been significant advancements in the development of in vitro and in vivo experiments that generate data used to inform decisions about the potential merit of new compounds. A comprehensive disease-drug model capable of integrating discrete data from different preclinical and clinical components would be a valuable tool across all stages of drug development. This could have an enormous impact on the otherwise slow and resource-intensive process of traditional clinical drug development.

Individual treatment effects: implications for research, clinical practice, and policy.

Funding for comparative effectiveness research (CER) has focused attention on what treatments work best under what specific clinical circumstances, and for whom. Because not all patients respond in the same way, treatment decisions, clinical guidelines, and coverage policies applied in a "one-size-fits-all" fashion based upon the population "average" response may lead to suboptimal outcomes. Existing frameworks focus on why patients respond differently to treatments. We propose a framework that identifies when these differences are likely to be clinically important. Scenarios are presented in which it may be most critical for clinical decisions and policies to distinguish between the average and the individual patient so that treatment recommendations provide the greatest benefits for the largest number of patients. We provide recommendations for researchers to help identify issues to study, for providers to help assist them in recommending optimal treatment for individual patients, and for payers or public health bodies to help balance societal needs with those of the individual.

Population pharmacokinetics and pharmacokinetics/pharmacodynamics of bendamustine in pediatric patients with relapsed/refractory acute leukemia.

OBJECTIVE: The pharmacokinetic (PK) profile of bendamustine has been characterized in adults with indolent non-Hodgkin lymphoma (NHL), but remains to be elucidated in pediatric patients with hematologic malignancies. This analysis used data from a nonrandomized pediatric study in patients with relapsed/refractory acute lymphocytic leukemia or acute myeloid leukemia. METHODS: Bendamustine 90 or 120 mg/m(2) (60-minute infusion) was administered on days 1 and 2 of 21 day cycles. The population PK base model was adjusted for body surface area (BSA), and the appropriateness of the final model was evaluated by visual predictive check. A covariate analysis explored PK variability. Bayesian PK parameter estimates and concentration-time profiles for each patient were generated. Bendamustine PK in pediatric patients was compared with that of adults with indolent NHL. PK/pharmacodynamic analyses were conducted for fatigue, nausea, vomiting, and infection. RESULTS: Thirty-eight patients (median age: 7 years; range: 1-19 years) receiving bendamustine 120 mg/m(2) and an additional five patients receiving bendamustine 90 mg/m(2) (median age: 12 years; range: 8-14 years) were included in the population PK analysis. Peak plasma concentrations of bendamustine (Cmax) occurred at the end of infusion (about 1 h). Decline from peak showed a rapid distribution phase (t½α = 0.308 h) and a slower elimination phase (t½ß = 1.47 h). Model-predicted mean Cmax and area under the curve values from time 0-24 h were 6806 ng/mL and 8240 ng*h/mL, respectively. When dosed based upon BSA, it appeared that age, body weight, race, mild renal (n = 3) or hepatic (n = 2) dysfunction, cancer type, and cytochrome P450 1A2 inhibitors (n = 17) or inducers (n = 3) did not affect systemic exposure, which was comparable between pediatric and adult patients. Infection was the only adverse event associated with bendamustine Cmax. However, due to the small sample size for some subgroups, the observed trends should be interpreted with caution. CONCLUSIONS: At the recommended dose (120 mg/m(2)), bendamustine systemic exposure was similar across the pediatric population and comparable to adults. The similarity in exposure despite the large range of BSA across pediatric and adult populations confirms the appropriateness of BSA-based dosing, which was utilized to attain systemic exposures in pediatric patients reflective of the therapeutic range in adults. Probability of occurrence of infection increased with higher bendamustine Cmax.

A comparison of the pharmacokinetic profile of an ascending-dose, extended-regimen combined oral contraceptive to those of other extended regimens.

Quartette (levonorgestrel [LNG]/ethinyl estradiol [EE] and EE) is an ascending-dose, extended-regimen combined oral contraceptive (COC) that consists of a constant dose of LNG 150 µg on days 1 to 84 with EE 20 µg on days 1 to 42, 25 µg on days 43 to 63, 30 µg on days 64 to 84, and 10 µg of EE monotherapy on days 85 to 91. A population pharmacokinetic (PK) model for EE was developed using nonlinear mixed-effects modeling to characterize the PK profile of EE administered in Quartette and other extended-regimen LNG/EE COCs. Model-predicted plasma concentration-time profiles demonstrated a stepwise increase in systemic exposure to EE during the first 84 days of the cycle following each EE dose change. Lower concentrations of EE were noted during the final 7-day period of EE 10 µg. Gradual increases in EE seen with Quartette may decrease the incidence of unscheduled bleeding frequently observed during early cycles of extended-regimen COCs.

Exposure-response analyses of tigecycline tolerability in healthy subjects.

Tigecycline exposure (area under the concentration-time curve [AUC((0-infinity))] and maximum serum concentration [C(max)]) and first occurrence of nausea and vomiting were evaluated in 136 healthy subjects after 12.5- to 300-mg single doses. Nausea was more frequent in females (46%, 10/22) compared with males (31%, 11/36) after 100-mg doses. Most nausea (vomiting) events occurred < or =4 h (<6 h) after tigecycline. For doses < or =100 mg, the median duration of nausea and vomiting was approximately 5 h. Based on logistic regression, increased exposure (AUC((0-infinity)) >C(max)) to tigecycline results in an increased rate of nausea (P < or = .0001; = .0022) and vomiting (P < or = .0001; = .0006). At the median AUC((0-infinity)) (C(max)) for the 50-mg dose group, the probability of nausea and vomiting was 0.26 (0.29) and 0.07 (0.11), respectively. Model-predicted rates of nausea and vomiting were comparable with those observed for the tetracycline class of antibiotics, with tolerable rates predicted after 50-mg doses of tigecycline.

Population pharmacokinetic analysis of linezolid in patients with infectious disease: application to lower body weight and elderly patients.

Linezolid (Zyvox), belonging to oxazolidinone antibiotics, is commonly used for the treatment of patients infected with methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococci. Although linezolid has been approved worldwide, the Japanese pharmacokinetic (PK) profile has not been characterized in detail. The objective of this study is to develop a population PK model for linezolid that can be applied to a Japanese population. This population PK model was established based on the 1 Japanese phase III and 4 Caucasian phase II/III studies. A total of 2539 linezolid plasma concentration measurements from 455 patients, aged 18 to 98 years and body weight 30 to 190.5 kg, were used for the analysis. The data were analyzed using nonlinear mixed effects modeling. Body weight (BW), age, ethnicity, and gender were investigated as covariates. The final model was validated by the bootstrap technique. The PK profiles of linezolid were described with a 1-compartment PK model with first-order absorption and first-order elimination. In the final population PK model, BW and age were influential covariates on clearance, and the distribution volume was affected by BW. The present population PK model of linezolid described well the PK profiles in Japanese patients who have lower BW and are relatively older compared with those in the United States/European Union.

Kerfuffle!

To become disheveled. A kerfuffle is the polite term for a cascading series of errors that can be initiated by a seemingly innocuous event that then leads to other errors that gain in severity and impact. This article describes some of the common kerfuffles that arise in modeling and simulation efforts. The process of eradicating or minimizing the impact of these pharmacometric kerfuffles begins with the recognition that the errors that contribute to the kerfuffle can and should be addressed systematically. They are not just an unpleasant aspect of the job that pharmacometricians must learn to live with in the conscientious execution of their work.

Pharmacokinetic/pharmacodynamic modeling and simulation of neutropenia during phase I development of liposome-entrapped paclitaxel.

PURPOSE: To evaluate the maximum tolerated dose (MTD), dose-limiting toxicities (DLT), and pharmacokinetics of liposome-entrapped paclitaxel easy-to-use (LEP-ETU) and to characterize the relationship between LEP-ETU concentrations and the time course of neutropenia in cancer patients. EXPERIMENTAL DESIGN: LEP-ETU was administered to 88 patients and 63 were evaluable for pharmacokinetic/pharmacodynamic (PK/PD) analysis following 1.5- and 3-h infusions every 3 weeks (q3w; dose range, 135-375 mg/m(2)). MTD was identified using a 3 + 3, up-and-down dose-finding algorithm. PK/PD modeling was done to describe the temporal relationship between paclitaxel concentrations and neutrophil count. Simulations assessed the influence of dose and schedule on neutropenia severity to help guide dose selection. RESULTS: The MTD of LEP-ETU was identified as 325 mg/m(2). DLTs occurring at 375 mg/m(2) consisted of febrile neutropenia and neuropathy. The C(max) and area under the plasma concentration-time curve of LEP-ETU were less than proportional with increasing dose. The PK/PD model showed that LEP-ETU inhibition of neutrophil proliferation was 9.1% per 10 mug/mL of total paclitaxel concentration. The incidence of grade 4 neutropenia increased from 33% to 42% across the dose range of 275 to 325 mg/m(2) q3w. For a dose of 110 mg/m(2) given weekly, grade 4 neutropenia was estimated to be 16% compared with 42% for the same total dose administered q3w. CONCLUSIONS: LEP-ETU can be administered safely at higher doses than Taxol. Modeling and simulation studies predict that 325 mg/m(2) LEP-ETU q3w provides acceptable neutropenic events relative to those observed at 175 mg/m(2) Taxol q3w. A 275 mg/m(2) dose may offer an improved therapeutic index.

Informatics: the fuel for pharmacometric analysis.

The current informal practice of pharmacometrics as a combination art and science makes it hard to appreciate the role that informatics can and should play in the future of the discipline and to comprehend the gaps that exist because of its absence. The development of pharmacometric informatics has important implications for expediting decision making and for improving the reliability of decisions made in model-based development. We argue that well-defined informatics for pharmacometrics can lead to much needed improvements in the efficiency, effectiveness, and reliability of the pharmacometrics process. The purpose of this paper is to provide a description of the pervasive yet often poorly appreciated role of informatics in improving the process of data assembly, a critical task in the delivery of pharmacometric analysis results. First, we provide a brief description of the pharmacometric analysis process. Second, we describe the business processes required to create analysis-ready data sets for the pharmacometrician. Third, we describe selected informatic elements required to support the pharmacometrics and data assembly processes. Finally, we offer specific suggestions for performing a systematic analysis of existing challenges as an approach to defining the next generation of pharmacometric informatics.

Population pharmacokinetics of (R)-albuterol and (S)-albuterol in pediatric patients aged 4-11 years with asthma.

OBJECTIVE: To characterize the population pharmacokinetics (PK) of (R)- and (S)-albuterol in pediatric asthmatics using a model that supports a sparse blood sampling strategy. METHODS: The data for this analysis were collected from patients enrolled in a randomized, double-blind, multicenter, placebo- and active-controlled study evaluating the safety and efficacy of levalbuterol in asthmatic children aged 4-11 years. Patients received either levalbuterol 0.31 mg, levalbuterol 0.63 mg, racemic albuterol 1.25 mg, or racemic albuterol 2.5 mg via nebulizer. Separate population pharmacokinetic models were developed for (R)- and (S)-albuterol using the NOMNEM((R)) computer program. Covariate models were developed to identify significant predictors of inter-patient variability. RESULTS: A total of 995 samples and 262 patients were used for the (R)-albuterol population PK model while a total of 496 samples and 128 patients were used for the (S)-albuterol population PK model. The apparent clearance of (R)-albuterol was much more rapid than that of (S)-albuterol (approximately four-fold higher), and the apparent volume of distribution was much larger for (R)-albuterol (in part due to pre-systemic metabolism) than for (S)-albuterol (approximately four-fold higher). CONCLUSIONS: In this study of pediatric patients, the models were able to demonstrate using two to four samples per patient that the apparent clearance and volume of distribution of (R)-albuterol were several fold higher than that of (S)-albuterol. The pharmacokinetics of (R)-albuterol were similar after administration of levalbuterol or racemic albuterol and were linear over the examined dose range (0.31-0.63 mg nebulized dose). The presence of (S)-albuterol did not significantly alter the pharmacokinetics of (R)-albuterol, suggesting that effects of (S)-albuterol may be due to the intrinsic pharmacology of this isomer.

Challenges in the transition to model-based development.

Practitioners of the art and science of pharmacometrics are well aware of the considerable effort required to successfully complete modeling and simulation activities for drug development programs. This is particularly true because of the current, ad hoc implementation wherein modeling and simulation activities are piggybacked onto traditional development programs. This effort, coupled with the failure to explicitly design development programs around modeling and simulation, will continue to be an important obstacle to the successful transition to model-based drug development. Challenges with timely data availability, high data discard rates, delays in completing modeling and simulation activities, and resistance of development teams to the use of modeling and simulation in decision making are all symptoms of an immature process capability for performing modeling and simulation. A process that will fulfill the promise of model-based development will require the development and deployment of three critical elements. The first is the infrastructure--the data definitions and assembly processes that will allow efficient pooling of data across trials and development programs. The second is the process itself--developing guidelines for deciding when and where modeling and simulation should be applied and the criteria for assessing performance and impact. The third element concerns the organization and culture--the establishment of truly integrated, multidisciplinary, and multiorganizational development teams trained in the use of modeling and simulation in decision-making. Creating these capabilities, infrastructure, and incentivizations are critical to realizing the full value of modeling and simulation in drug development.

Pharmacokinetic/pharmacodynamic profile for tigecycline-a new glycylcycline antimicrobial agent.

Tigecycline is a new first-in-class glycylcycline antimicrobial agent with expanded broad-spectrum activity against both Gram-negative and Gram-positive aerobes and anaerobes, as well as atypical bacterial species. The spectrum of activity extends to clinically relevant susceptible and multidrug-resistant strains of Staphylococcus aureus, Streptococcus pneumoniae, vancomycin-resistant enterococci, and Enterobacteriaceae, including extended-spectrum beta-lactamase-producing strains. Tigecycline is administered as an intravenous formulation and has been studied in the treatment of serious polymicrobial infections, including complicated skin and skin-structure infections and intra-abdominal infections. Pharmacokinetic analysis of data from phase 1 trials of healthy subjects indicate that tigecycline has a large volume of distribution, signifying extensive tissue penetration, and a long terminal elimination half-life (approximately 40 h), easily allowing for twice-daily dose administration. Tigecycline penetrates well into blister fluid, which supports the positive findings of phase 2 and 3 studies of the efficacy of tigecycline in the treatment of serious skin and skin-structure infections. Metabolic studies in humans have revealed that tigecycline undergoes very limited metabolism and the primary route of elimination of unchanged drug is through the feces, with glucuronidation and renal elimination as secondary routes. A preliminary pharmacokinetic (PK)/pharmacodynamic analysis in experimental animal models of infection indicates that the efficacy of tigecycline is probably best predicted by the ratio of the area under the concentration-time curve to the minimum inhibitory concentration. The expanded in vitro activity against a broad range of bacteria, including resistant pathogens, and favorable PK profile of tigecycline suggest that this novel antimicrobial agent should offer clinicians an option for the treatment of patients with serious bacterial infections.

The pharmacokinetic and pharmacodynamic profile of tigecycline.

Tigecycline, a first-in-class expanded-spectrum antimicrobial agent, has demonstrated efficacy in the treatment of complicated intra-abdominal and skin and skin-structure infections. This new antibiotic is available as an intravenous formulation and exhibits linear pharmacokinetics. It is rapidly distributed and has a large volume of distribution, indicating extensive tissue penetration. After a 100-milligram loading dose, followed by 50 milligrams every 12 h, the steady-state maximum concentration in serum after a 1-h infusion is approximately 0.6 microg/mL, the 24-h steady-state area under the concentration-time curve is approximately 5-6 microg.h/mL, and the terminal elimination half-life is approximately 40 h. The major route of elimination of tigecycline is through the feces, primarily as unchanged drug. The pharmacokinetic profile is not affected by severe or end-stage renal disease, nor is it significantly altered by hemodialysis. The pharmacokinetics of tigecycline are also not affected by food, although tolerability is increased if the drug is administered following a meal.

Population pharmacokinetics and pharmacodynamics of garenoxacin in patients with community-acquired respiratory tract infections.

Garenoxacin (T-3811ME, BMS-284756) is a novel, broad-spectrum des-F(6) quinolone currently under study for the treatment of community-acquired respiratory tract infections. This analysis assessed garenoxacin population pharmacokinetics and exposure-response relationships for safety (adverse effects [AE]) and antimicrobial activity (clinical cure and bacteriologic eradication of Streptococcus pneumoniae and the grouping of Haemophilus influenzae, Haemophilus parainfluenzae, and Moraxella catarrhalis). Data were obtained from three phase II clinical trials of garenoxacin administered orally as 400 mg once daily for 5 to 10 days for the treatment of community-acquired pneumonia, acute exacerbation of chronic bronchitis, and sinusitis. Samples were taken from each patient before drug administration, 2 h following administration of the first dose, and on the day 3 to 5 visit. Individual Bayesian estimates of the fu (fraction unbound), the Cmax, and the fu for the area under the concentration-time curve from 0 to 24 h (fu AUC(0-24)) were calculated as measurements of drug exposure by using an ex vivo assessment of average protein binding. Regression analysis was performed to examine the following relationships: treatment-emergent AE incidence and AUC(0-24), Cmax, or patient factors; clinical response or bacterial eradication and drug exposure (fu Cmax/MIC, fu AUC(0-24)/MIC, and other exposure covariates); or disease and patient factors. Garenoxacin pharmacokinetics were described by a one-compartment model with first-order absorption and elimination. Clearance was dependent on creatinine clearance, ideal body weight, age, obesity, and concomitant use of pseudoephedrine. The volume of distribution was dependent on weight and gender. Patients with mild or moderate renal dysfunction had, on average, approximately a 16 or 26% decrease in clearance, respectively, compared to patients of the same gender and obesity classification with normal renal function. AE occurrence was not related to garenoxacin exposure. Overall, clinical cure and bacterial eradication rates were 91 and 90%, respectively, for S. pneumoniae and 93 and 92%, respectively, for the grouping of H. influenzae, H. parainfluenzae, and M. catarrhalis. The fu AUC(0-24)/MIC ratios were high (>90% were >200), and none of the pharmacokinetic-pharmacodynamic exposure measurements indexed to the MIC or other factors were significant predictors of clinical or bacteriologic response. Garenoxacin clearance was primarily related to creatinine clearance and ideal body weight. Although garenoxacin exposure was approximately 25% higher for patients with moderate renal dysfunction, this increase does not appear to be clinically significant as exposures in this patient population were not significant predictors of AE occurrence. Garenoxacin exposures were at the upper end of the exposure-response curves for measurements of antimicrobial activity, suggesting that 400 mg of garenoxacin once daily is a safe and adequate dose for the treatment of the specified community-acquired respiratory tract infections.

The cost-effectiveness of cefepime plus metronidazole versus imipenem/cilastatin in the treatment of complicated intra-abdominal infection.

BACKGROUND: Our objective was to compare the economic benefits of cefepime plus metronidazole with those of imipenem/cilastatin in the treatment of complicated intra-abdominal infections. METHODS: We used a retrospective analysis of clinical outcomes and health resource utilization data collected during a randomized, double-blind, multi-center clinical trial. Seventeen university-affiliated hospitals in the United States and Canada participated, as did 323 patients with complicated intra-abdominal infections. Decision analysis was conducted using a decision node of cefepime vs. imipenem, and chance nodes that included an Acute Physiology and Chronic Health Evaluation (APACHE) II score of #15 versus .15; a need for posttreatment surgical procedures; and clinical outcomes. Effectiveness of treatment was measured by differences in the length and cost of hospital stays, the number and cost of surgical procedures after treatment, cure rates, and the cost of antibiotics. Also evalulated were the incremental costs of cure (i.e., the costs of additional cures). RESULTS: Comparing cefepime plus metronidazole with imipenem/cilastatin, the expected cost of patient care was $8,218 versus $10,414, respectively, and the cost-effectiveness ratio per cure was $10,058 versus $13,685. For severely ill patients (APACHE II score .15), the expected cost was $12,962 versus $23,153, and the cost-effectiveness ratio per cure was $15,321 versus $64,313. CONCLUSIONS: Cefepime plus metronidazole was more cost-effective than imipenem/cilastatin in the treatment of complicated intra-abdominal infections, primarily because of fewer post-treatment surgical procedures and shorter hospital stays. The primary advantage accrued to severely ill patients who had an APACHE II score .15.

Gatifloxacin and the elderly: pharmacokinetic-pharmacodynamic rationale for a potential age-related dose reduction.

OBJECTIVES: Recently, anecdotal reports via the FDA's MedWatch reporting system have documented rare but serious hyperglycaemia in elderly patients receiving gatifloxacin. One possible factor contributing to these events may be gatifloxacin overexposure, resulting from age-related decreases in renal function in elderly patients predisposed to glycaemic alterations. These analyses examine gatifloxacin exposure in 10 patients with severe hyperglycaemia, provide a pharmacokinetic-pharmacodynamic (PK-PD) rationale for a potential age-related dose reduction to avoid high exposures, and evaluate the likely impact of such a dose reduction on clinical efficacy in this specific patient population. METHODS: First, a previously derived population pharmacokinetic model, with patient demographics, was used to estimate gatifloxacin AUC0-24 following a dosage regimen of 400 mg/24 h in 10 index patients with severe hyperglycaemia. Second, the population pharmacokinetic model and patient demographic data from 2696 patients aged > or =65 years from two New Drug Application (NDA) databases were used to estimate AUC0-24 following dosage regimens for gatifloxacin of 200 and 400 mg/24 h. Finally, Monte Carlo simulation was utilized to assess the probability of achieving PK-PD target exposures against Streptococcus pneumoniae in elderly patients using these regimens. RESULTS: The mean estimated AUC0-24 among severe hyperglycaemia cases was 74 mg.h/L (range 57-100). Gatifloxacin AUC0-24 exposures for the 400 mg regimen were predicted to be higher in patients aged > or =65 years and similar to the severe hyperglycaemia cases. The probability of AUC0-24 > or =60 and > or =70 in patients aged > or =65 years for the 200 mg regimen was 0.03 and <0.01, respectively, versus 0.51 and 0.35 for the 400 mg regimen, respectively. The probability of achieving PK-PD target exposures against S. pneumoniae in patients aged > or =65 years receiving the 200 mg regimen was 0.99. CONCLUSIONS: The probability of a patient aged > or =65 years having an AUC0-24 > or =60-70 mg.h/L is markedly lower following a 200 mg regimen relative to a 400 mg regimen, suggesting a decreased risk of severe hyperglycaemia in a predisposed patient. Moreover, a dose reduction does not appear to significantly modify the likelihood of achieving the PK-PD target of gatifloxacin against S. pneumoniae.