Dose Optimization Strategies Research Articles

Clinical Pharmacology of Cytokine Release Syndrome with T-cell Engaging Bispecific Antibodies: Current Insights and Drug Development Strategies

Abstract Cytokine release syndrome (CRS) is a common acute toxicity in T-cell therapies, including T-cell engaging bispecific antibodies (T-BiSp). Effective CRS management and prevention is crucial in T-BiSp development. Required hospitalization for 7 of the 9 approved T-BiSp and the need for clinical intervention in severe cases highlight the importance of mitigation strategies to reduce healthcare burden and improve patient outcome. In this review, we discuss the emerging evidence on CRS mitigation, management, and prediction. We cover different strategies for dose optimization, current and emerging (pre)treatment strategies, quantitative pharmacology tools employed during drug development, and biomarkers and predictive factors. Insights are gleaned on step-up dosing and formulation effects on CRS and CRS relationships with cytokine dynamics and drug levels gathered through review of T-BiSp licensing applications and emerging data from conferences and publications.

Treat-to-target fixed dose rituximab retreatment versus fixed interval retreatment with disease activity-guided rituximab dose optimisation for patients with rheumatoid arthritis: study protocol for a multicentre randomised controlled superiority trial focusing on long-term disease impact (RITUXERA)

BackgroundThe optimal retreatment strategy with rituximab for rheumatoid arthritis (RA) remains a point of discussion. Depending on local guidelines, rituximab can either be administered at fixed intervals or when losing disease control, balancing therapeutic effectiveness with drug overexposure. However, treatment based on loss of disease control may significantly affect patients’ lives, provoking uncertainty and potentially leading to progressive joint damage. Moreover, as low-dose rituximab proved to be effective in treating RA while decreasing toxicity, drug exposure may be limited by tapering down rituximab doses guided by disease activity.MethodsRITUXERA is a 104-week open-label multicentre randomised controlled superiority trial. In total, 134 patients with RA treated with rituximab will be 1:1 randomised when in need of retreatment (DAS28-CRP ≥ 3.2 with previous rituximab administration at least 24 weeks earlier) to either a treat-to-target-driven fixed dose retreatment strategy (usual care group) or fixed interval disease-activity guided dose optimisation strategy (experimental group). The usual care group will be retreated with fixed rituximab doses (1 × 1000 mg IV) in case of loss of disease control (DAS28-CRP ≥ 3.2). The experimental group will receive a 24-weekly rituximab treatment while tapering down the dose in a decreasing sequence if DAS28-CRP ≤ 3.2: 1 × 1000 mg IV (maximal dose), 1 × 500 mg IV, and 1 × 200 mg IV (minimal dose). If DAS28-CRP exceeds 3.2 at the six-monthly retreatment, patients will receive and remain on the previous effective dose. Study visits are planned every 12 weeks. Primary outcome is the comparison of longitudinal patient-reported disease impact over 104 weeks, measured with the Rheumatoid Arthritis Impact of Disease (RAID) instrument, analysed using a linear mixed model. Main secondary outcome is the comparison of longitudinal disease activity (DAS28-CRP) over 104 weeks.DiscussionThe RITUXERA trial aims to explore the optimal retreatment strategy with rituximab for RA in terms of long-term patient-reported disease impact, by proposing a fixed interval disease activity-guided dose optimisation strategy as compared to a treat-to-target fixed dose strategy.Trial registrationCTIS 2023–506638-59–01 (registration date: 07 September 2023), ClinicalTrials.gov NCT06003283 (registration date: 17 August 2023).

Oncology Combination Drug Development Strategies for Project Optimus.

The Project Optimus initiative from the FDA introduced a new dose optimization and selection paradigm in oncology drug development. The FDA has outlined approaches to dose optimization for single agents, but multiple oncology drugs are being developed for use in combination with other therapies. Dose optimization in the context of combination drug development is complex and requires a case-by-case approach. It necessitates commitment to the totality of available evidence, leveraging all relevant data on mechanism of action, nonclinical and clinical pharmacology, safety, and principles of model-informed drug development. In this article, we outline key considerations for sponsors and investigators pursuing dose optimization with combinatorial regimens. We illustrate important strategies for dose optimization in the combination setting using a range of hypothetical case examples that represent typical drug development scenarios. Close discussions and collaboration with regulators regarding the optimal approaches to these scenarios will continue to be critical.

Evaluating the Knowledge of Radiation Exposure Parameters Among CT Technologists in Saudi Arabia: A Survey-Based Study on Adherence to ALARA Principles and Dose Optimization

Computed tomography is a crucial tool in modern healthcare, offering non-invasive imaging for diagnosis and monitoring. However, its widespread use raises concerns about radiation exposure. Adhering to the ALARA principle is vital to minimize risks while maintaining diagnostic quality. This study evaluates the knowledge of CT technologists in Saudi Arabia regarding radiation exposure parameters. A questionnaire-based survey was conducted, covering demographics, perceptions, and understanding of CT parameters. Statistical analysis revealed gaps in knowledge, particularly regarding dose optimization strategies and diagnostic reference levels. While most participants recognized the importance of adjusting parameters based on patient characteristics and clinical indications, deficiencies were observed in understanding specific parameters' effects on dose and image quality. Furthermore, a notable proportion of participants were unfamiliar with DRLs, indicating a need for improved education in this area. The study emphasizes the importance of interdisciplinary collaboration between radiologists, physicists, and technologists in protocol development and optimization.

Strategies for successful dose optimization in oncology drug development: a practical guide

ABSTRACT Dose optimization is a critical challenge in drug development. Historically, dose determination in oncology has followed a divergent path from other non-oncology therapeutic areas due to the unique characteristics and requirements in Oncology. However, with the emergence of new drug modalities and mechanisms of drugs in oncology, such as immune therapies, radiopharmaceuticals, targeted therapies, cytostatic agents, and others, the dose-response relationship for efficacy and toxicity could be vastly varied compared to the cytotoxic chemotherapies. The doses below the MTD may demonstrate similar efficacy to the MTD with an improved tolerability profile, resembling what is commonly observed in non-oncology treatments. Hence, alternate strategies for dose optimization are required for new modalities in oncology drug development. This paper delves into the historical evolution of dose finding methods from non-oncology to oncology, highlighting examples and summarizing the underlying drivers of change. Subsequently, a practical framework and guidance are provided to illustrate how dose optimization can be incorporated into various stages of the development program. We provide the following general recommendations: 1) The objective for phase I is to identify a dose range rather than a single MTD dose for subsequent development to better characterize the safety and tolerability profile within the dose range. 2) At least two doses separable by PK are recommended for dose optimization in phase II. 3) Ideally, dose optimization should be performed before launching the confirmatory study. Nevertheless, innovative designs such as seamless II/III design can be implemented for dose selection and may accelerate the drug development program.

Translational Pharmacokinetic-Toxicodynamic Model of Myelosuppression for Dose Optimization in Combination Chemotherapy of Capecitabine and Oxaliplatin from Rats to Humans.

XELOX therapy, which comprises capecitabine and oxaliplatin, is the standard first-line chemotherapeutic regimen for colorectal cancer. However, its myelosuppressive effects pose challenges for its clinical management. Mathematical modeling combining pharmacokinetics (PK) and toxicodynamics (TD) is a promising approach for optimizing dosing strategies and reducing toxicity. This study aimed to develop a translational PK-TD model using rat data to inform dosing strategies and TD implications in humans. The rats were administered capecitabine, oxaliplatin, or XELOX combination regimen, and PK and TD data were collected. PK parameters were analyzed using sequential compartment analysis, whereas TD responses were assessed using Friberg's semiphysiological model. A toxicity intensity-based nomogram recommends optimal dosing strategies. Translational modeling techniques using the hybrid PK-TD model were employed to predict clinical responses. The PK-TD model successfully predicted the time-course profiles of hematological responses in rats following monotherapy and XELOX combination treatment. Interactive effects on lymphocytopenia were identified with the coadministration of capecitabine and oxaliplatin. A model-based recommended combination of the dose reduction rate for escaping severe lymphocytopenia was proposed as 40% and 60% doses of capecitabine and oxaliplatin, respectively. The current translational model techniques successfully simulated the time-course profiles of blood cell counts with confidence intervals in patients using rat data. Our study provides valuable insights into dose optimization strategies for each individual drug within the XELOX regimen and underscores the potential of translational modeling to improve patient outcomes. In addition to dose determination, these data will lay the groundwork for advancing drug development processes in oncology. SIGNIFICANCE STATEMENT: This study introduced a novel translational modeling approach rooted in a rat PK-TD model to optimize dosing strategies for the XELOX regimen for colorectal cancer treatment. Our findings highlight the interactive effects on lymphocytopenia and suggest a toxicity intensity-based nomogram for dose reduction, thus advancing precision medicine. This translational modeling paradigm enhances our understanding of drug interactions, offering a tool to tailor dosing, minimize hematological toxicity, and improve therapeutic outcomes in patients undergoing XELOX therapy.

Optimus-Era Dose Finding for Rare Cancers.

Advances in cancer biology and diagnostics have led to the recognition of a multitude of rare cancer subtypes, emphasizing the pressing need for strategies to accelerate drug development for patients with these cancers. This paper addresses the unique challenges of dose finding in trials that accrue small numbers of patients with rare cancers; strategies for dose optimization are proposed, in line with evolving approaches to dose determination in the age of the US Food and Drug Administration's Project Optimus.

Dose Optimization in Oncology Drug Development: An International Consortium for Innovation and Quality in Pharmaceutical Development White Paper.

The landscape of oncology drug development has witnessed remarkable advancements over the last few decades, significantly improving clinical outcomes and quality of life for patients with cancer. Project Optimus, introduced by the U.S. Food and Drug Administration, stands as a groundbreaking endeavor to reform dose selection of oncology drugs, presenting both opportunities and challenges for the field. To address complex dose optimization challenges, an Oncology Dose Optimization IQ Working Group was created to characterize current practices, provide recommendations for improvement, develop a clinical toolkit, and engage Health Authorities. Historically, dose selection for cytotoxic chemotherapeutics has focused on the maximum tolerated dose, a paradigm that is less relevant for targeted therapies and new treatment modalities. A survey conducted by this group gathered insights from member companies regarding industry practices in oncology dose optimization. Given oncology drug development is a complex effort with multidimensional optimization and high failure rates due to lack of clinically relevant efficacy, this Working Group advocates for a case-by-case approach to inform the timing, specific quantitative targets, and strategies for dose optimization, depending on factors such as disease characteristics, patient population, mechanism of action, including associated resistance mechanisms, and therapeutic index. This white paper highlights the evolving nature of oncology dose optimization, the impact of Project Optimus, and the need for a tailored and evidence-based approach to optimize oncology drug dosing regimens effectively.

Taurine reduces the risk for metabolic syndrome: a systematic review and meta-analysis of randomized controlled trials

BackgroundMetabolic syndrome (MetS) is a cluster of interconnected risk factors that significantly increase the likelihood of cardiovascular disease and type 2 diabetes. Taurine has emerged as a potential therapeutic agent for MetS. This meta-analysis of randomized controlled trials (RCTs) aimed to evaluate the effects of taurine supplementation on MetS-related parameters.MethodsWe conducted electronic searches through databases like Embase, PubMed, Web of Science, Cochrane CENTRAL, and ClinicalTrials.gov, encompassing publications up to December 1, 2023. Our analysis focused on established MetS diagnostic criteria, including systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C). Meta-regression explored potential dose-dependent relationships based on the total taurine dose administered during the treatment period. We also assessed secondary outcomes like body composition, lipid profile, and glycemic control.ResultsOur analysis included 1024 participants from 25 RCTs. The daily dosage of taurine in the studies ranged from 0.5 g/day to 6 g/day, with follow-up periods varying between 5 and 365 days. Compared to control groups, taurine supplementation demonstrated statistically significant reductions in SBP (weighted mean difference [WMD] = −3.999 mmHg, 95% confidence interval [CI] = −7.293 to −0.706, p = 0.017), DBP (WMD = −1.509 mmHg, 95% CI = −2.479 to −0.539, p = 0.002), FBG (WMD: −5.882 mg/dL, 95% CI: −10.747 to −1.018, p = 0.018), TG (WMD: −18.315 mg/dL, 95% CI: −25.628 to −11.002, p < 0.001), but not in HDL-C (WMD: 0.644 mg/dl, 95% CI: −0.244 to 1.532, p = 0.155). Meta-regression analysis revealed a dose-dependent reduction in DBP (coefficient = −0.0108 mmHg per g, p = 0.0297) and FBG (coefficient = −0.0445 mg/dL per g, p = 0.0273). No significant adverse effects were observed compared to the control group.ConclusionTaurine supplementation exhibits positive effects on multiple MetS-related factors, making it a potential dietary addition for individuals at risk of or already experiencing MetS. Future research may explore dose-optimization strategies and potential long-term benefits of taurine for MetS management.

Prolonged disease control despite ALK inhibitor discontinuation in advanced ALK-positive NSCLC

Introduction: EML4-ALK is an oncogenic driver, seen in around five per cent of advanced non-small-cell lung cancer (NSCLC) patients, which can be targeted with anaplastic lymphoma kinase tyrosine kinase inhibitors with great response rates. Disease flare refers to sudden rapid disease worsening on tyrosine kinase inhibitors (TKI) discontinuation, which is associated with shorter survival and worse outcomes. Here, we review cases previously published in the literature where patients developed disease flares, and contrast this with our patients who had prolonged survival despite TKI discontinuation. Case description: We report three different patients with advanced ALK-positive NSCLC seen at our institute, who had EML4-ALK translocation variant 1 oncogenic driver on next-generation sequencing. They received treatment with several different ALK inhibitors before opting to discontinue TKI. They were able to come off TKI safely without developing disease flare and had prolonged survival. Discussion: Shorter time to progression on TKI, presence of symptoms with disease progression or central nervous system/pleural metastasis have been previously linked with development of flare, although this was not seen in our case series. Tumour response at the time of treatment discontinuation, line of therapy, overall disease burden, fusion variant and co-alteration status can affect the prognosis of these patients after ALK TKI cessation. In particular, variant 1 and wild-type TP53 status may be a suitable patient population for dose optimisation strategies. Intermittent TKI dosing strategies may help to avoid acquiring resistance mutations and prevent long-term treatment toxicities. Conclusion: It is important for clinicians to identify patients at risk for developing disease flare on TKI discontinuation to improve outcomes. Intermittent TKI dosing strategies require further investigation.

Dose optimization for cancer treatments with considerations for late-onset toxicities.

Given that novel anticancer therapies have different toxicity profiles and mechanisms of action, it is important to reconsider the current approaches for dose selection. In an effort to move away from considering the maximum tolerated dose as the optimal dose, the Food and Drug Administration Project Optimus points to the need of incorporating long-term toxicity evaluation, given that many of these novel agents lead to late-onset or cumulative toxicities and there are no guidelines on how to handle them. Numerous methods have been proposed to handle late-onset toxicities in dose-finding clinical trials. A summary and comparison of these methods are provided. Moreover, using PI3K inhibitors as a case study, we show how late-onset toxicity can be integrated into the dose-optimization strategy using current available approaches. We illustrate a re-design of this trial to compare the approach to those that only consider early toxicity outcomes and disregard late-onset toxicities. We also provide proposals going forward for dose optimization in early development of novel anticancer agents with considerations for late-onset toxicities.

Radiation exposure in routine mammography screening: a large observational cross-sectional study in Morocco

This observational cross-sectional study aims to assess the exposure levels during mammography examinations in Morocco and provide an international comparative analysis. Patient data from 1100 mammographic examinations conducted in five units, comprising both digital radiography (DR) and computed radiography (CR) systems from various brands and models in the Rabat-Salé-Zemmour-Zaër region, were collected. The mean glandular dose (MGD) and technical parameters, including exposure factors and breast thickness, were analyzed. The collected data were compared with findings from international studies to provide valuable context. The overall median MGD was 1.34 ± 0.36 mGy for craniocaudal (CC) and 1.48 ± 0.38 mGy for mediolateral oblique (MLO) incidences. It’s essential to note that these values were calculated based on the median compressed breast thickness. The MGD varied among different units and anode/filter combinations. The Rh/Rh anode/filter combination was most commonly used, resulting in the lowest radiation dose. The study findings also highlighted the relationship between MGD and breast thickness, with higher doses observed for thicker breasts. This study provides valuable insights into radiation exposure during mammography breast cancer screening in Morocco. The results underscore the importance of future dose optimization strategies to ensure patient safety without compromising diagnostic image quality. Implementing optimized technical parameters, conducting regular quality assurance programs, and promoting education and awareness are essential in achieving dose reduction and minimizing radiation risks. Collaboration among healthcare professionals, regulatory bodies, and international organizations is crucial for sharing best practices and advancing radiation dose optimization in mammography.

Population pharmacokinetics of oxcarbazepine active metabolite in Chinese paediatric patients with epilepsy: Model-based dose optimization.

The pharmacological activity of oxcarbazepine (OXC) is primarily exerted through its active 10-monohydroxy metabolite (MHD). Nonetheless, there is limited pharmacokinetic information available regarding paediatric patients with epilepsy treated with OXC, especially in infants and toddlers. Concurrently, this drug exhibits substantial variability in pharmacokinetics and therapeutic response across different individuals. We aimed to develop a model to quantitatively investigate factors that affect MHD pharmacokinetics to formulate a dosage guideline for OXC in Chinese paediatric patients. A total of 297 MHD trough concentrations were obtained from 287 epileptic children. Six body weight (BW)-based allometric models were used for population pharmacokinetic modelling, while investigating the impact of other covariates on the apparent clearance. The one-compartment model and age cut-off model for the apparent clearance (CL/F) were established to describe the pharmacokinetics of MHD. The probability to obtain target trough concentration ranges (TTCRs) of MHD between 3 and 35 mg/L was determined by Monte Carlo simulations for doses ranging from 8 to 90 mg/kg/day. A new dose optimization strategy combining the dosage guidelines and Bayesian method provides a tailored approach for Chinese paediatric epileptic patients based on their individual BW and desired TTCRs of MHD, and also supports current dose recommendations, with the exception of children weighing ≤5kg.

Research progress of Ustekinumab in the treatment of inflammatory bowel disease.

Inflammatory bowel disease (IBD) is a chronic, recurrent gastrointestinal disorder with elusive etiology. Interleukin-12 (IL-12) and IL-23 have emerged as key proinflammatory mediators/cytokines in IBD pathogenesis. Ustekinumab (UST), targeting IL-12 and IL-23, has demonstrated promising efficacy and safety in the treatment of IBD. Recently, UST has become increasingly favored as a potential first-line treatment option. This review delineates UST's mechanism of action, its clinical applications in IBD, including the response rates, strategies for dose optimization for case of partial or lost response, and potential adverse events. This review aims to offer a comprehensive understanding of UST's role as a therapeutic option in IBD management.

Applications of Advanced Natural Language Processing for Clinical Pharmacology.

Natural language processing (NLP) is a branch of artificial intelligence, which combines computational linguistics, machine learning, and deep learning models to process human language. Although there is a surge in NLP usage across various industries in recent years, NLP has not been widely evaluated and utilized to support drug development. To demonstrate how advanced NLP can expedite the extraction and analyses of information to help address clinical pharmacology questions, inform clinical trial designs, and support drug development, three use cases are described in this article: (1) dose optimization strategy in oncology, (2) common covariates on pharmacokinetic (PK) parameters in oncology, and (3) physiologically-based PK (PBPK) analyses for regulatory review and product label. The NLP workflow includes (1) preparation of source files, (2) NLP model building, and (3) automation of data extraction. The Clinical Pharmacology and Biopharmaceutics Summary Basis of Approval (SBA) documents, US package inserts (USPI), and approval letters from the US Food and Drug Administration (FDA) were used as our source data. As demonstrated in the three example use cases, advanced NLP can expedite the extraction and analyses of large amounts of information from regulatory review documents to help address important clinical pharmacology questions. Although this has not been adopted widely, integrating advanced NLP into the clinical pharmacology workflow can increase efficiency in extracting impactful information to advance drug development.

Safety and Efficacy of TKIs in very Elderly Patients (≥75 Years) with Chronic Myeloid Leukemia.

While the outcomes of chronic phase chronic myeloid leukemia (CP-CML) patients aged over 65 years have been extensively evaluated in real-life experiences, limited data exist for the very elderly population (i.e., aged ≥ 75 years), especially for next-generation tyrosine kinase inhibitors (TKIs). In this retrospective study, we sought to evaluate the safety and efficacy of TKIs in this particular setting of patients. We conducted a retrospective analysis of a multicenter cohort of 123 newly diagnosed CP-CML very elderly patients. The median age at diagnosis was 80 years (range: 75-96). In the first line, 86.1% of patients received imatinib, 7.1% dasatinib, 5.6% nilotinib, and 0.81% received bosutinib. A total of 31 patients (25.2%) switched to second-line therapy, nine patients to a third line, and one patient to a fourth line of therapy. Resistance to treatment was the primary reason for switching therapy in both the first (64.5%) and second lines (77.7%). At diagnosis, reduced doses were administered in 36.5% of patients, in 61.2% in the second line, and in all patients in subsequent lines of therapy. In the first-line setting, 71.9% of patients achieved an early molecular response (EMR, i.e., 3-month BCR::ABL1IS < 10%); at 6, 12, and 24 months, MR3 was reached by 35.7%, 55.7%, and 75.0% of patients, respectively, with 16.6%, 35.7%, and 51.7% achieving a deep molecular response (DMR) at the same time points. Treatment-free remission (TFR) was successfully attempted in 11 patients. During the follow-up period, adverse events (AEs) were observed in 78.8% of patients, including 22 cases of cardiovascular AEs. Toxicity grade ≥ 3 was more commonly observed in patients treated with standard doses of TKIs compared to reduced doses (p = 0.033). Overall, the median follow-up was 46.62 months (range: 1.8-206.2), and 43 patients died due to non-CML-related causes. Three patients died due to disease progression to advanced (n = 1) and blastic (n = 2) phases. The 5-year overall survival (OS) for the entire cohort was 71.9% (95% CI: 0.63-0.81), with no significant difference between the patients treated with standard doses of TKIs compared to those treated with reduced doses (p = 0.35). TKIs appear to be safe and effective even in very elderly CML patients, and dose optimization strategies yield satisfactory molecular responses for adequate disease control with an improved safety profile.

An Analysis of Dosing-Related Postmarketing Requirements for Novel Oncology Drugs Approved by the U.S. Food and Drug Administration, 2012-2022.

The FDA's Oncology Center of Excellence's (OCE) launch of Project Optimus signals increased focus on dose optimization approaches in oncology drug development, particularly toward optimization in the premarket setting. Although sponsors continue to adapt premarket study designs and approaches to align with FDA's expectations for dose optimization, including consideration of the optimal dosage(s), there are still instances where questions remain at the time of approval about whether the approved doses or schedules are optimal. In these cases, FDA can exercise regulatory flexibility by issuing postmarketing requirements (PMR) and avoid delaying patient access to promising therapies. This landscape analysis demonstrates that over the past decade (2012-2022), FDA frequently used PMRs to answer additional questions about dosing for novel oncology approvals. We found more than half of drugs (78/132, 59.1%) had a dosing PMR and observed a recent increase in PMRs intended to evaluate whether a lower dose could be more optimal. These results suggest there are opportunities to adapt premarket dose optimization strategies and leverage innovative development tools to ensure timely identification of the optimal dose.

Utilization of cefepime therapeutic drug monitoring in febrile neutropenia patients with hematologic malignancies.

Cefepime is a fourth-generation cephalosporin and is a workhorse for the empiric treatment of febrile neutropenia (FN). Beta-lactam therapeutic drug monitoring (TDM) has emerged as a dose optimization strategy in patient populations with altered kinetics. Prior literature has demonstrated that patients with FN exhibit augmented renal clearance which may lead to subtherapeutic drug concentrations with standard dosing regimens. The aim of this study was to evaluate pharmacokinetic/pharmacodynamic (PK/PD) target attainment and clinical outcomes in patients with hematologic malignancies and FN who were treated empirically with cefepime. This was a prospective, single-center study of adults with hematologic malignancies and FN admitted to the inpatient unit. The primary outcome was PK/PD target attainment (defined as 100% free time greater than minimum inhibitory concentration (100% fT > MIC)). Secondary clinical outcomes were time to defervescence, time to ANC recovery, in-hospital mortality, and cefepime failure. There were 55 patients in our study. Forty-three (78%) patients achieved the primary outcome of PK/PD target attainment. The mean time to defervescence was similar between those that achieved PK/PD target attainment and those that did not (95% CI -0.75 to 1.25, p = 0.62). This study showed that standard cefepime dosing in patients with hematologic malignancies and FN does not result in achievement of 100% fT > MIC in all patients. Patients in the group that did not achieve PK/PD target attainment were younger with increased creatinine clearance, indicating that cefepime TDM may be especially beneficial in these patients.

Full Treatment-Free Remission Outcome in Patients with Chronic Myeloid Leukemia in Chronic Phase Following One Year of Nilotinib De-Escalation: 96-Week Update of Dante Study

Introduction: Treatment-free remission (TFR) in chronic myeloid leukemia (CML) is achievable and recommended for patients (pts) in sustained deep molecular response (DMR) who can discontinue tyrosine kinase inhibitor (TKI) treatment while maintaining responses. Studies investigating TKI de-escalation before TFR are mainly in imatinib-treated CML chronic phase (CP) pts and suggest that this stepwise approach is feasible. Although nilotinib (NIL) is the first and only TKI approved for stopping therapy, nilotinib-based TFR optimization strategy has not been formally studied. Our phase II, single-arm, prospective, multicenter DANTE study (NCT03874858) aims to shed light on frontline NIL de-escalation in terms of full treatment-free remission (FTFR) (primary endpoint) and TFR rate (secondary endpoint) 96 weeks after the start of consolidation in CML-CP Italian patients. Our previously analysis on 40 pts with sustained DMR who entered in the TFR phase showed that approximately 68% of pts remained disease-free 1 year after stopping NIL 1. Here we present the data of 89 patients who successfully completed NIL de-escalation and at least 1 year of TFR. Methods: Adults patients with CML-CP treated with NIL 300 mg twice daily (bid) in first line for ≥3 years who achieved sustained DMR for ≥1 year (≥MR 4.0; BCR-ABL level ≤0.01% IS) were enrolled in 27 centers. The study consisted of 4 phases: screening (week [wk] −4-0), consolidation (wk 0-48), TFR (wk 48-144), and follow-up (until wk 144). Ongoing treatment with ≥400 mg/day dose was allowed at study entry. During consolidation pts were treated with NIL 300 mg once daily (qd). At the end of consolidation phase, pts with sustained DMR entered TFR phase and NIL was discontinued. Patients with major molecular response (MMR [BCR-ABL ≤0.1% IS]) but without sustained DMR continued NIL 300 mg qd. At any time, pts with loss of MMR returned to NIL 300 mg bid. During TFR phase, BCR-ABL levels were monitored monthly from wk 52-96 and then every 3 months. Here we report updated results collected until the cut-off date of 8th February 2023, when all patients who entered the TFR phase had completed at least one year of TFR or switched to full-dose phase or entered in survival follow-up or discontinued the study. The primary endpoint of the study is FTFR, defined as the percentage of patients (in both TFR phase and NIL half-dose) in MMR or better at week 96. Results: Overall, 113 pts were screened and 107 entered in consolidation phase. The baseline characteristics and the clinical outcome of the 107 patients are shown in Tab 1. Specifically, 98/107 (92%) completed the consolidation phase, while 9 pts discontinued permanently (2 due to loss of MMR, 3 due to adverse events (AEs) and 4 due to patient decision). Noteworthy, 89/107 (83%) with sustained DMR entered in the TFR phase, while 9 pts maintained MMR but not sustained DMR (7 entered in NIL half dose follow-up period and were in FTFR at 96 weeks, while 2 discontinued the study before week 96). At 1 year cut-off data, 71/107 pts (66.4%) were in FTFR, meeting the primary endpoint of study. We observed 64/89 pts (72%) who entered in the TFR phase remained in MMR or better after a median duration of 20.4 months (interquartile range [IQR] 1.9-32.4), meeting the main secondary endpoint of the study. The median time to loss of MMR in TFR phase was not reached (Fig 1). The remaining 25/89 pts (28%) had discontinued the TFR phase (21 pts due to loss of MMR, 1 due to AEs and 3 pts for subject/guardian decision). The median time spent in TFR phase until loss of MMR was 3.6 months (IQR 2-19 months). At the cut-off data, 23/24 pts (96%) who restarted NIL after MMR loss regained MMR and MR4 after a median time of 2.7 months (IQR 1.0-5.6) and 4.1 months (IQR 1.2-10), respectively. Notably, 20/24 (83%) who restarted NIL after MMR loss achieved MR4.5 after a median time of 6.4 months (IQR 2.0-16.9). During the TFR phase, all-grade AEs were reported in 64/89 pts (72%). One pt (1.1%) had serious AE (pneumonia). No deaths and disease progressions were observed. Conclusions: Our findings show that 66.4% pts who entered in consolidation phase achieved FTFR 96 weeks after the start of the consolidation period, and approximately 72% of pts remained disease-free at 1 year after stopping NIL. Overall, our data suggest that de-escalation of NIL before TFR attempt in CML-CP pts with sustained DMR can be a successful dose-optimization strategy. 1Stagno F. et al., Blood (2022) 140 (Supplement 1): 9614-9616.

Reporting Diagnostic Reference Levels for Paediatric Patients Undergoing Brain Computed Tomography.

Brain computed tomography (CT) is a diagnostic imaging tool routinely used to assess all paediatric neurologic disorders and other head injuries. Despite the continuous development of paediatric CT imaging, radiation exposure remains a concern. Using diagnostic reference levels (DRLs) helps to manage the radiation dose delivered to patients, allowing one to identify an unusually high dose. In this paper, we propose DRLs for paediatric brain CT examinations in Saudi clinical practices and compare the findings with those of other reported DRL studies. Data including patient and scanning protocols were collected retrospectively from three medical cities for a total of 225 paediatric patients. DRLs were derived for four different age groupings. The resulting DRL values for the dose-length product (DLP) for the age groups of newborns (0-1 year), 1-y-old (1-5 years), 5-y-old (5-10 years) and 10-y-old (10-15 years) were 404 mGy cm, 560 mGy cm, 548 mGy cm, and 742 mGy cm, respectively. The DRLs for paediatric brain CT imaging are comparable to or slightly lower than other DRLs due to the current use of dose optimisation strategies. This study emphasises the need for an international standardisation for the use of weight group categories in DRL establishment for paediatric care in order to provide a more comparable measurement of dose quantities across different hospitals globally.