Physiologically-based pharmacokinetic modeling to predict the exposure and provide dosage regimens of ustekinumab in pediatric patients with inflammatory bowel disease.

Ustekinumab (UST), a fully human immunoglobulin G1 κ monoclonal antibody, exhibiting high affinity for the p40 subunit shared by IL-12 and IL-23, which play key roles in the pathogenesis of inflammatory bowel disease (IBD). By scaling the physiologically-based pharmacokinetic modeling (PBPK) model of UST in adult patients with IBD, we aim to predict effective dosages for UST in pediatric patients, thereby offering a more practical dosing regimen for real-world applications. In this work, a PBPK model for UST in adult patients with IBD has been developed using PK-Sim and Mobi. Advanced ontogeny model has been incorporated to extrapolate the model to pediatric patients. The simulation results showed that the fold errors of the predicted and observed values of the area under the curve (AUC) and peak plasma concentration (Cmax) were between 0.79 and 1.73. For children aged 6-18, it is recommended to administer the drug per kilogram of body weight, at the model-recommended dose, to achieve a median AUC similar to that of the adult reference population post-administration. This comprehensive model construction enables us to comprehensively and extensively explore the pharmacokinetic characteristics of UST in pediatric patients of different age groups, providing robust support for clinical applications and personalized drug therapy.

Cardiac toxicity of brentuximab vedotin: a real-word disproportionality analysis of the FDA Adverse Event Reporting System (FAERS) database.

Brentuximab vedotin (BV) has obtained approval for the therapeutic management of classical Hodgkin lymphoma as well as systemic anaplastic large cell lymphoma. Given the inherent constraints of conventional clinical trials, the correlation between BV and cardiac adverse events (AEs) remains enigmatic. The objective of this investigation is to comprehensively assess cardiac AEs attributed to BV by employing advanced data mining techniques, utilizing the FDA Adverse Event Reporting System (FAERS). The indices for the assessment of disproportionality encompass the reporting odds ratio (ROR), the proportional reporting ratio, the information component, and the empirical Bayesian geometric mean. Employing these sophisticated metrics, we gauged the extent of disproportionate occurrences. The dataset was sourced from the FAERS from the first quarter of 2012 to first quarter of 2023, facilitating a comprehensive analysis of the potential correlation between BV and cardiac AEs. This scrutiny encompassed a comparative analysis of both cardiac and non-cardiac AEs. A total of 495 cases of BV's cardiac AEs were discerned, with the identification of 31 preferred terms (PTs). Among these, 8 PTs emerged as conspicuous signals of cardiac AEs, notably encompassing ventricular hypokinesia (ROR 7.59), tachyarrhythmia (ROR 7.06), sinus tachycardia (ROR 6.18), cardiopulmonary failure (ROR 4.44), pericardial effusion (ROR 4.32), acute coronary syndrome (ROR 4.02), cardiomyopathy (ROR 3.30), and tachycardia (ROR 2.76). The manifestation of severe outcomes demonstrates a discernible correlation with the cardiac AEs (P < 0.001). Our investigation furnishes invaluable insights for healthcare practitioners to proactively mitigate the incidence of BV-associated cardiac AEs.

Physiologically based pharmacokinetic modeling to predict maternal pharmacokinetics and fetal carbamazepine exposure during pregnancy.

Carbamazepine is an antiepileptic drug commonly used in pregnant women, during which the physiological changes may affect its efficacy. The aim of this study was to establish a physiologically based pharmacokinetic (PBPK) model of carbamazepine and its active metabolite carbamazepine-10,11-epoxide, and simulate maternal and fetal pharmacokinetic changes of carbamazepine and carbamazepine-10,11-epoxide in different trimesters and propose dose adjustment. We established pregnancy PBPK models for carbamazepine and carbamazepine-10,11-epoxide in PK-Sim® and Mobi® and validated the models with observed data from clinical reports. The placental transfer parameters obtained using different methods were also imported into the model and compared with the observed data to establish and validate fetal pharmacokinetic curves. The simulated results showed that mean steady-state trough plasma concentration of carbamazepine decreased by 27, 43.1, and 52 % during the first, second, and third trimesters, respectively. Therefore, to achieve an optimum therapeutic concentration, administering at least 1.4, 1.8, and 2.1 times the baseline dose of carbamazepine in the first, second, and third trimesters, respectively can be used as a dose reference. In conclusion, this study established and validated a pregnancy PBPK model of carbamazepine and carbamazepine-10,11-epoxide to assess exposure in pregnant women and fetuses, which provided a reference for the dosage adjustment of carbamazepine during pregnancy.

Physiologically-Based Pharmacokinetic Modeling of Anti-Tumor Necrosis Factor Agents for Inflammatory Bowel Disease Patients to Predict the Withdrawal Time in Pregnancy and Vaccine Time in Infants.

Anti-tumor necrosis factor (anti-TNF) agents are widely applied for patients with inflammatory bowel disease (IBD); however, the timing of the last dosing for IBD pregnancy and time to elimination in anti-TNF agent-exposed infants is controversial. This study aimed to determine the optimal timing for the last dosing of anti-TNF agents (infliximab, adalimumab, and golimumab) in pregnant women with IBD, as well as to investigate the recommended vaccine schedules for infants exposed to these drugs. A physiologically-based pharmacokinetic (PBPK) model of anti-TNF agents was built for adults and extrapolated to pregnant patients, fetuses, and infants. The PBPK models successfully predicted and verified the pharmacokinetics (PKs) of infliximab, adalimumab, and golimumab in pregnancy, fetuses, and infants. The predicted PK data were within two-fold of the observed data. The simulated results were used as timing advice. According to the dose of administration, the suggested timing of the last dosing for infliximab, adalimumab, and golimumab is successfully provided based on PBPK predictions. PBPK models indicated that, for infants, the advocated timing of vaccination is 12, 8, and 5 months after birth for infliximab, adalimumab, and golimumab, respectively. Our study illustrated that PBPK models can provide a valuable tool to predict the PKs of large macromolecules in pregnant women, fetuses, and infants, ultimately informing drug-treatment decisions for pregnancy and vaccination regimens for infants.

Physiologically based pharmacokinetic model combined with reverse dose method to study the nephrotoxic tolerance dose of tacrolimus.

Nephrotoxicity is the most common side effect that severely limits the clinical application of tacrolimus (TAC), an immunosuppressive agent used in kidney transplant patients. This study aimed to explore the tolerated dose of nephrotoxicity of TAC in individuals with different CYP3A5 genotypes and liver conditions. We established a human whole-body physiological pharmacokinetic (WB-PBPK) model and validated it using data from previous clinical studies. Following the injection of 1 mg/kg TAC into the tail veins of male rats, we developed a rat PBPK model utilizing the drug concentration-time curve obtained by LC-MS/MS. Next, we converted the established rat PBPK model into the human kidney PBPK model. To establish renal concentrations, the BMCL5 of the in vitro CCK-8 toxicity response curve (drug concentration range: 2-80 mol/L) was extrapolated. To further investigate the acceptable levels of nephrotoxicity for several distinct CYP3A5 genotypes and varied hepatic function populations, oral dosing regimens were extrapolated utilizing in vitro-in vivo extrapolation (IVIVE). The PBPK model indicated the tolerated doses of nephrotoxicity were 0.14-0.185 mg/kg (CYP3A5 expressors) and 0.13-0.155 mg/kg (CYP3A5 non-expressors) in normal healthy subjects and 0.07-0.09 mg/kg (CYP3A5 expressors) and 0.06-0.08 mg/kg (CYP3A5 non-expressors) in patients with mild hepatic insufficiency. Further, patients with moderate hepatic insufficiency tolerated doses of 0.045-0.06 mg/kg (CYP3A5 expressors) and 0.04-0.05 mg/kg (CYP3A5 non-expressors), while in patients with moderate hepatic insufficiency, doses of 0.028-0.04 mg/kg (CYP3A5 expressors) and 0.022-0.03 mg/kg (CYP3A5 non-expressors) were tolerated. Overall, our study highlights the combined usage of the PBPK model and the IVIVE approach as a valuable tool for predicting toxicity tolerated doses of a drug in a specific group.

Cost-effectiveness and Value-based Pricing of Trastuzumab Deruxtecan in Metastatic Breast Cancer With Low HER2 Expression.

BACKGROUND: Recently, the DESTINY-Breast04 trial revealed that trastuzumab deruxtecan (T-DXd) significantly prolonged overall survival in patients with human epidermal growth factor receptor 2 (HER2)-low metastatic breast cancer (MBC). Considering the extraexpensive price of the new drug, a cost-effectiveness analysis of T-DXd is necessary to perform in the United States. In addition, because T-DXd has not been marketed in China, the pricing is a very important driver for the cost-effectiveness of T-DXd. The range of drug costs for which T-DXd could be considered cost-effective from a Chinese healthcare system perspective was explored. METHODS: We developed a Markov model to evaluate the cost-effectiveness of T-DXd versus physician's choice of chemotherapy (PCC). The simulation time horizon for this model was the life-time of patients. Transition probabilities were based on data from the DESTINY-Breast04 trial. Health utility data were derived from published studies. Outcome measures were costs (in 2022 US$), life-years (LYs), quality-adjusted LYs (QALYs), and the incremental cost-effectiveness ratio (ICER). One-way and probabilistic sensitivity analyses assessed the uncertainty of key model parameters and their joint impact on the base-case results. RESULTS: The model predicted that T-DXd provided an improvement of 0.84 LYs and 0.58 QALYs compared to PCC, with an ICER of $259,452.05 per QALY in the United States and $87,646.40 per QALY in China. The one-way sensitivity analysis demonstrated that the price of T-DXd had the greatest impact on ICERs. Probabilistic sensitivity analysis predicted that the probabilities of T-DXd being cost-effective compared to PCC were 7.2% and 0% at a willingness-to-pay of $150,000 per QALY in the United States and $36,475 per QALY (3 times the per capita gross domestic product) in China, respectively. Subgroup analyses showed that T-DXd was more effective for patients without visceral disease at baseline, followed by patients with Asian ethnic, patients without prior CDK 4/6 inhibitors therapy, and patients with HER2-1+ (IHC detection) status. CONCLUSION: T-DXd was unlikely to offer a reasonable value for the money spent compared to PCC for patients with HER2-low MBC in the United States. A value-based price for T-DXd was reduced by 51% in the United States and less than $1950 per cycle in China.

Adjuvant zoledronic acid therapy for postmenopausal women with early breast cancer in China: a cost-effectiveness analysis.

Combination therapy of zoledronic acid (ZOL) plus aromatase inhibitor (AI) was found to reduce bone metastasis risk and improve overall survival for treatment-naïve postmenopausal women (PMW) with hormone receptor-positive (HR+) early breast cancer (EBC), when compared with AI alone. The objective of this study was to evaluate the cost-effectiveness of adding ZOL to AI in treating PMW with HR+ EBC in China. A 5-state Markov model was constructed to evaluate the cost-effectiveness of adding ZOL to AI for PMW-EBC (HR+) over a lifetime horizon from the perspective of Chinese healthcare provider. Data used were obtained from previous reports and public data. The primary outcomes of this study were direct medical cost, life years (LYs), quality-adjusted LYs (QALYs), and incremental cost-effectiveness ratios (ICERs). One-way and probabilistic sensitivity analyses were performed to examine the robustness of the presented model. Over a lifetime horizon, adding ZOL to AI was projected to yield a gain of 1.286 LYs and 1.099 QALYs compared with AI monotherapy, which yielded ICER $11 140.75 per QALY with an incremental cost of $12 247.36. The one-way sensitivity analysis indicated that the cost of ZOL was the most influential factor in our study. The probability that adding ZOL to AI was cost-effective at a threshold of $30 425 per QALY in China was 91.1%. ZOL is likely to be cost-effective in reducing bone metastasis risk and improving overall survival for PMW-EBC (HR+) in China.

Indirect Comparison of Cryoablation and Radiofrequency Ablation as Initial Therapy for Symptomatic Paroxysmal Atrial Fibrillation: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.

INTRODUCTION: Data on first-line ablation treatment for patients with symptomatic atrial fibrillation (AF) are scarce. This study indirectly compared the efficacy and safety of cryoballoon ablation (CBA) versus radiofrequency ablation (RFA) as initial therapy for symptomatic AF. METHODS: We searched the EMBASE, PubMed, Cochrane Library, and ClinicalTrials.gov databases for randomized controlled trials (RCTs) that compared CBA or RFA with antiarrhythmic drugs (AADs) as first-line treatment for AF from the time of database establishment up to December 2021. The odds ratio (OR) with a 95% confidence interval (CI) was used as a measure of the treatment effect. RESULTS: Six RCTs (3 CBA, 3 RFA) that enrolled a total of 1,215 patients were included in this analysis. There were no significant differences in atrial arrhythmia (AA) (OR 0.993, 95% CI: 0.602-1.638), symptomatic AA (OR 0.638, 95% CI: 0.344-1.182), or serious adverse events (OR 1.474, 95% CI: 0.404-5.376) between the two ablation techniques. The incidences of additional CBA therapy (OR 2.693, 95% CI: 1.277-5.681) and patients who crossed over to AAD therapy (OR 0.345, 95% CI: 0.179-0.664) in the CBA group were significantly lower than those in the RFA group. CONCLUSION: Among patients with paroxysmal AF receiving initial therapy, CBA and RFA share a similar efficacy and safety profile. When pulmonary vein isolation is performed by CBA, study crossover and the need for additional ablation are substantially lower.

Physiologically-Based Pharmacokinetic Modeling of Omalizumab to Predict the Pharmacokinetics and Pharmacodynamics in Pediatric Patients.

Omalizumab is widely used in clinical practice; however, knowledge gaps in the dosage of omalizumab for children aged 2-6 years with moderate-to-severe persistent allergic asthma have been identified. The aim of this study was to explore dosing regimens for moderately-to-severely allergic pediatric patients aged 2-6 years. The physiologically-based pharmacokinetic (PBPK) model of omalizumab was developed and verified in adult patients, extrapolated to pediatric patients, and simulated for omalizumab by adding two observation chambers (free IgE and total IgE). The simulation results showed that the fold errors of the predicted and observed values of the area under the curve (AUC) and peak plasma concentration (Cmax ) were between 0.5 and 2.0, and the average folding error and the absolute average folding error values for all concentration-time data points were 1.09 and 1.48, respectively. The PBPK model combined with pharmacokinetic/pharmacodynamic analysis of omalizumab demonstrated that both the model-derived dose and the original dose could control the average free IgE of 2-6-year-old children with moderate-to-severe allergic asthma below 25 ng/mL, and some of the model-derived doses were lower. This conclusion provides a basis for the selection of dosage in clinical practice reference.

Application of PBPK modeling in predicting maternal and fetal pharmacokinetics of levetiracetam during pregnancy.

Levetiracetam is currently being used to treat epilepsy in pregnant women. The plasma concentration of levetiracetam drops sharply during pregnancy, and the inability of pregnant women to maintain therapeutic concentrations can lead to seizures. This study aimed to predict the changes in fetal and maternal plasma exposure to levetiracetam during pregnancy and provide advice on dose adjustment. The physiology-based pharmacokinetics (PBPK) model was developed using PK-Sim and Mobi software, and validated following comparison of the observed plasma concentration and pharmacokinetic parameters. The levetiracetam PBPK model for mother and the fetus at various stages of pregnancy was successfully established and verified. Predictions indicated that the area under the steady-state concentration-time curve for levetiracetam decreased to 83, 62, and 67% of baseline values in the first, second, and third trimesters, respectively. Based on PBPK predictions, the recommended dose of levetiracetam is 1.2, 1.6, and 1.5 times the baseline dose in the first, second, and third trimesters, respectively, not exceeding 4000 mg/day in the third trimester due to fetal safety. The levetiracetam PBPK model for pregnancy was successfully developed and validated, and could provide alternative levetiracetam dosing regimens across the stages of pregnancy.

Cell viability and drug evaluation biosensing system based on disposable AuNPs/MWCNT nanocomposite modified screen-printed electrode for exocytosis dopamine detection.

Cell viability, as an important index to evaluate drug effects, usually was measured by tetrazolium colorimetric assay, playing a key role in drug development and drug screening. Tedious operating procedures, unsatisfactory sensitivity and abominable environments perplex researchers to acquire more detailed in vivo-relevant biological information. Herein, a simple and low-cost cell viability and drug evaluation biosensing system-based on multiwalled carbon nanotubes, gold nanoparticles and Nafion modified screen-printed electrode (SPE) biosensor was constructed for detection of dopamine (DA) released from living cells to evaluate cytotoxicity of antineoplastic drugs such as cisplatin and resveratrol. The biosensing system was demonstrated to display exceptional selectivity, excellent flexibility and good stability toward DA measurement in complex bio-samples. Additionally, the satisfactory recoveries of DA in real samples revealed the reliability and accuracy of the biosensing system in practical application. The IC50 curves respectively obtained by the biosensing system and tetrazolium colorimetric assay provided similar IC50 value but distinctly different dose-effect relationship, which confirmed the enormous potential of the biosensor in cell viability and described drug efficacy profiles in cell function. In short, the cell viability and drug evaluation system using SPE biosensor paves a new way in drug screening and pharmaceutical application to measure bioactive molecule such as DA.

Application of Physiologically Based Pharmacokinetic Modeling to Predict Maternal Pharmacokinetics and Fetal Exposure to Oxcarbazepine.

Pregnancy is associated with physiological changes that may affect drug pharmacokinetics (PKs). The aim of this study was to establish a maternal-fetal physiologically based pharmacokinetic (PBPK) model of oxcarbazepine (OXC) and its active metabolite, 10,11-dihydro-10-hydroxy-carbazepine (MHD), to (1) assess differences in pregnancy, (2) predict changes in PK target parameters of these molecules following the current dosing regimen, (3) assess predicted concentrations of these molecules in the umbilical vein at delivery, and (4) compare different methods for estimating drug placental penetration. Predictions using the pregnancy PBPK model of OXC resulted in maternal concentrations within a 2-fold error, and extrapolation of the model to early-stage pregnancies indicated that changes in median PK parameters remained above target thresholds, requiring increased frequency of monitoring. The dosing simulation results suggested dose adjustment in the last two trimesters. We generally recommend that women administer ≥ 1.5× their baseline dose of OXC during their second and third trimesters. Test methods for predicting placental transfer showed varying performance, with the in vitro method showing the highest predictive accuracy. Exposure to MHD in maternal and fetal venous blood was similar. Overall, the above-mentioned models can enhance understanding of the maternal-fetal PK behavior of drugs, ultimately informing drug-treatment decisions for pregnant women and their fetuses.

Physiologically based pharmacokinetic modeling of daptomycin dose optimization in pediatric patients with renal impairment.

Background and Objective: Daptomycin is used to treat Gram-positive infections in adults and children and its dosing varies among different age groups. We focused on the pharmacokinetics of daptomycin in children with renal impairment, which has not been evaluated. Methods: A physiologically based pharmacokinetic (PBPK) model of daptomycin was established and validated to simulate its disposition in healthy populations and adults with renal impairment, along with a daptomycin exposure simulated in pediatric patients with renal impairment. Results: The simulated PBPK modeling results for various regimens of intravenously administered daptomycin were consistent with observed data according to the fold error below the threshold of 2. The Cmax and AUC of daptomycin did not differ significantly between children with mild-to-moderate renal impairment and healthy children. The AUC increased by an average of 1.55-fold and 1.85-fold in severe renal impairment and end-stage renal disease, respectively. The changes were more significant in younger children and could reach a more than 2-fold change. This scenario necessitates further daptomycin dose adjustments. Conclusion: Dose adjustments take into account the efficacy and safety of the drug; however, the steady-state Cmin of daptomycin may be above 24.3 mg/L in a few instances. We recommend monitoring creatine phosphokinase more than once a week when using daptomycin in children with renal impairment.

Development of Physiologically Based Pharmacokinetic Model for Pregabalin to Predict the Pharmacokinetics in Pediatric Patients with Renal Impairment and Adjust Dosage Regimens: PBPK Model of Pregabalin in Pediatric Patients with Renal Impairment.

Pregabalin (PGB) is widely used clinically; however, its pharmacokinetics (PK) has not been studied in pediatric patients with renal impairment (RI). To design optimized PGB regimens for pediatric patients with varying degrees of RI and predict exposure to PGB, physiologically based pharmacokinetic (PBPK) models of PGB were developed and verified, and its disposition was simulated in the healthy population and adults with RI. The simulated results from the PBPK models after single-dose and multi-dose administrations of PGB were consistent with the corresponding observed data based on the fold error values of less than 2. The area under curve ratios were 1.23 ± 0.06, 2.02 ± 0.10, 3.86 ± 0.21, and 9.92 ± 0.79 in pediatric patients with mild, moderate, severe, and end-stage RI, respectively. Based on the predictions for pediatric patients with moderate, severe, and end-stage RI, the maximum dose should not exceed 7, 3.5, and 1.4 mg/kg/day, respectively, among those weighing < 30 kg, and it should not exceed 5, 2.5, and 1 mg/kg/day, respectively, among those weighing > 30 kg. In conclusion, the developed PBPK model is a valuable tool for predicting PGB dosage for pediatric patients with RI.

Physiologically Based Pharmacokinetic Modeling and Dose Adjustment of Teicoplanin in Pediatric Patients With Renal Impairment.

The pharmacokinetics of teicoplanin differs in children as compared with adults, and especially in renally impaired pediatric patients. Inappropriate empirical antibacterial therapy may lead to treatment-related antibacterial resistance and increased toxicity, making adjustment of the dosage regimen essential. In the present study, physiologically based pharmacokinetic (PBPK) models were developed to define the appropriate dosage regimen for pediatric patients with differing renal function. Our PBPK models accurately predicted teicoplanin exposures in both adult and pediatric subjects after single and multiple intravenous infusions, with a <1.36-fold error between predicted and observed data, and all observed data were within minimal and maximal data of the corresponding population simulation. The area under the plasma concentration-time curve was predicted to increase 1.25-fold, 1.95-fold, and 2.82-fold in pediatric patients with mild, moderate, and severe renal impairment, respectively, relative to that of healthy children. Subsequently, the results of Monte Carlo simulations indicated that the recommended dosing of 12, 9.5, 6, and 4 mg/kg at 12-hour intervals would be appropriate in pediatric patients with normal renal function and in those with mild, moderate, and severe renal impairment, respectively, at a susceptible minimum inhibitory concentration <2 mg/L. In conclusion, our PBPK model with an incorporated Monte Carlo simulation can provide improved guidance on dosing in pediatric patients with differing renal function and provide a basis for precision therapy with teicoplanin.

Semaglutide and Diabetic Retinopathy Risk in Patients with Type 2 Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Semaglutide is a recently approved glucagon-like peptide-1 receptor agonist used to treat patients with type 2 diabetes mellitus (T2DM). The SUSTAIN 6 trial found a significantly higher rate of retinopathy complications in the semaglutide-treated group compared with the placebo group. OBJECTIVE: This study aimed to evaluate the association between semaglutide and the risk of retinopathy in patients with T2DM. METHODS: Electronic databases were systematically searched up to April 2021 to identify randomized controlled trials that reported diabetic retinopathy (DR) events in semaglutide-treated and control groups. A meta-analysis was conducted using Review Manager 5.4 software to calculate the risk ratio (RR) and 95% confidence intervals (CIs). RESULTS: A total of 23 randomized trials involving 22,096 patients with T2DM were included. There were 730 incident DR cases-463 in the semaglutide group and 267 in the control group. Overall, semaglutide was not associated with increased DR risk compared with controls when all trials were combined (RR 1.14, 95% CI 0.98-1.33). Subgroup analysis showed that semaglutide was associated with an increased risk of DR compared with placebo (RR 1.24, 95% CI 1.03-1.50). Moreover, patient age ≥ 60 years and diabetes duration ≥ 10 years were also factors for increased risk of DR when using semaglutide (RR 1.27, 95% CI 1.02-1.59; RR 1.28, 95% CI 1.04-1.58, respectively). CONCLUSIONS: Semaglutide was not associated with an increased risk of DR; however, caution regarding DR risk is needed for older patients or those with long diabetes duration when taking semaglutide.

First-Line Durvalumab in Addition to Etoposide and Platinum for Extensive-Stage Small Cell Lung Cancer: A U.S.-Based Cost-Effectiveness Analysis.

BACKGROUND: The latest published CASPIAN trial demonstrated that adding durvalumab to etoposide and platinum (EP) improved survival dramatically for patients with extensive-stage small cell lung cancer (ES-SCLC). Considering the high cost of durvalumab, this study evaluated the cost-effectiveness of durvalumab plus EP (DEP) in the first-line setting for treatment-naïve patients with ES-SCLC from the U.S. payer perspective. MATERIALS AND METHODS: We developed a three-state Markov model to simulate the disease course and source consumption of ES-SCLC over a lifetime horizon. Pseudo-individual patient-level data were generated from digitized Kaplan-Meier curves. Direct medical costs, including drug and administration costs, disease management and adverse events treatment fees, best supportive care and terminal care costs were obtained from sources including the Centers for Medicare and Medicaid Services, Healthcare Cost and Utilization Project, and relevant literature. Health state utility values were derived from published literature. Main outcomes considered were total costs, life-years (LYs), quality-adjusted LYs (QALYs), and incremental cost-effectiveness ratio (ICER). All costs were adjusted for inflation to reflect 2019 U.S. dollars. The willingness-to-pay threshold was set as $150,000/QALY. One-way and probabilistic sensitivity analyses were used to explore the uncertainty of model assumptions. RESULTS: Compared with EP, DEP was projected to increase life expectancy by 0.86 LYs (1.73 vs. 0.87) and 0.44 QALYs (0.93 vs. 0.49). The incremental treatment cost was $95,907, and the corresponding ICER was $216,953/QALY. The result was most sensitive to the variation of durvalumab acquisition cost. Probabilistic sensitivity analysis revealed that the probability of DEP over EP regimen to be cost-effective was 9.4% at a willingness-to-pay threshold of $150,000/QALY. In the case of reducing the price of durvalumab by 30.7%, DEP was more cost-effective than EP. CONCLUSION: From the perspective of the U.S. payer, adding durvalumab to EP is estimated to be not cost-effective compared with EP alone for patients with untreated ES-SCLC. IMPLICATIONS FOR PRACTICE: The information provided by this analysis serves as a reference for decision makers. Lowering the price of durvalumab would be a potential measure to improve the economics of durvalumab plus etoposide and platinum (DEP), and the inclusion of durvalumab in the Medicare pharmacopeia could make DEP more economically available. These results may also guide physicians and patients to choose the most economically feasible treatment.

Cost-effectiveness analysis of genotype screening and therapeutic drug monitoring in patients with inflammatory bowel disease treated with azathioprine therapy: a Chinese healthcare perspective using real-world data.

BACKGROUND: This study aimed to analyze the cost-effectiveness of combining screening for thiopurine methyl transferase (TPMT) and nucleotide triphosphate diphosphatase (NUDT15) defective alleles with therapeutic drug monitoring (TDM) in Chinese patients with inflammatory bowel disease (IBD) treated with azathioprine (AZA). METHODS: We evaluated the cost-effectiveness of combining screening for NUDT15 and TPMT deficiency with TDM in patients receiving AZA treatment over a 1-year horizon by developing a decision tree model. Real-world data and published literature were used to derive model inputs. The model's primary outcomes included quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs). One-way and probabilistic sensitivity analyses were used to address uncertainty. RESULTS: Compared to NUDT15 genotyping, the combined TPMT/NUDT15 genotyping strategy cost an additional $13.83, yielding an ICER of $3,929.54/QALY, which was under the willingness-to-pay level of $30,425 per QALY in China. Compared to strategies with singular TPMT genotyping or no genotyping, the combined TPMT/NUDT15 genotyping strategy gained 0.00406 and 0.00782 QALYs and reduced the cost by $25.15 and $99.06, respectively. Additionally, incorporating TDM of AZA was more effective and less expensive than strategies without TDM. One-way sensitivity analysis revealed the expense attached to severe myelotoxicity to be the factor with the greatest influence in the present research. The application of the combined genotype screening strategy with TDM of AZA treatment was found to have a 91.7% chance of being cost-effective. CONCLUSIONS: For Chinese patients with IBD who receive an AZA regimen, a strategy involving combined NUDT15/TPMT genotype screening prior to treatment initiation and incorporating TDM for treatment management is cost-effective compared to strategies involving genotyping of NUDT15 or TPMT alone or genotyping without TDM.

Ceftaroline Dosage Optimized for Pediatric Patients With Renal Impairment Using Physiologically Based Pharmacokinetic Modeling.

Ceftaroline fosamil is a fifth-generation cephalosporin approved as a treatment for adults and children with community-acquired bacterial pneumonia and acute bacterial skin and skin structure infections. However, its pharmacokinetics have not been fully evaluated in children with renal impairment. This study aimed to propose proper ceftaroline dosages optimized for the renally impaired pediatric population using physiologically based pharmacokinetic (PBPK) modeling. A PBPK model of ceftaroline was established and verified to simulate its disposition in the healthy population and renally impaired adults and to predict the exposure in renally impaired pediatric patients. Consistency was confirmed between simulated and observed data after intravenous administration of various ceftaroline regimens; fold errors were within the 2-fold error range. Among 6-year-old children, healthy subjects had 1.5-fold, 2-fold, and 2.6-fold lower areas under the plasma concentration-time curve (AUCs) than the moderate, severe, and end-stage renally impaired patient groups, respectively; among 1-year-old children, healthy subjects had 1.5-fold, 2.1-fold, and 2.5-fold lower AUCs than the respective renally impaired patient groups; among 1-month-old children, healthy subjects had 1.5-fold, 1.8-fold, and 2.2-fold lower AUCs than the respective renally impaired patient groups. The proposed dosage should be adjusted to 8, 6, and 5 mg/kg every 8 hours for patients aged ≥2 years to <18 years (≤33 kg) with moderate, severe, and end-stage renal impairment, respectively; 5, 4, and 3 mg/kg every 8 hours for patients aged 2 months to <2 years with moderate, severe, and end-stage renal impairment, respectively; 4, 3.5, and 2.5 mg/kg every 8 hours for patients 0 to <2 months of age with moderate, severe, and end-stage renal impairment, respectively. Furthermore, pharmacodynamic investigations demonstrated that adequate antimicrobial effects were attained at the proposed doses in 3 age groups. Hence, our PBPK model can be an effective tool to support ceftaroline dosage proposals for renally impaired pediatric patients.