Comparison of immune checkpoint inhibitors related to pulmonary adverse events: a retrospective analysis of clinical studies and network meta-analysis.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed tumor treatment. However, the risk of pulmonary adverse events (PAEs) associated with ICI combination therapy is still unclear. We aimed to provide a PAE overview and risk ordering of ICIs used in tumor treatment. METHODS: We searched the databases of PubMed, PsycINFO, Embase, Cochrane Library, CINAHL, Web of Science, Scopus, and clinical trial websites during January 2011-April 2023 to identify phase II and III randomized clinical trials (RCTs) and single-arm clinical trials wherein at least one treatment arm received ICIs (e.g., ICI monotherapy, a combination of two ICIs, or ICIs in combination with conventional cancer therapy). We reported the results of PAEs. Additionally, we compared risks of PAEs between different drug classes using a Bayesian network meta-analysis. RESULTS: Among 143 RCTs and 24 single-arm trials, the incidence of all-grade and grade 3-4 PAEs were highest with programmed death L1 (PD-L1) plus cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) and plus chemotherapy and anti-PD1 plus anti-CTLA4, the lowest with targeted therapy drug plus chemotherapy and anti-PD1 plus anti-PDL1. Anti-PD1 plus anti-CTLA4 and plus chemotherapy was the intervention with the highest risk for all-grade and 3-4 grade PAEs, and the intervention with the lowest risk was chemotherapy and anti-PD1 plus anti-PDL1. In terms of all-grade PAEs, chemotherapy was safer than ICI monotherapy. Except for the anti-PD1 plus anti-PDL1 regimen, no significant difference in the risk of grade 3-4 PAEs was detected between dual-ICIs and single-ICIs. Furthermore, the risk of PAEs associated with nivolumab, pembrolizumab, and atezolizumab may be dose dependent. CONCLUSIONS: In the single-drug regimen, anti-PD1 caused the greatest incidence of PAEs. The risk of PAEs was higher with all single-ICIs than with chemotherapy. However, no significant difference in the risk of PAEs was detected between single-ICIs. In the combined regimen, anti-PD1 plus anti-CTLA4 and plus chemotherapy showed the greatest risk of PAEs, but there were no significant differences in risk between dual-ICIs and single-ICIs.

Exploration of the potential association between GLP-1 receptor agonists and suicidal or self-injurious behaviors: a pharmacovigilance study based on the FDA Adverse Event Reporting System database.

BACKGROUND: Establishing whether there is a potential relationship between glucagon-like peptide 1 receptor agonists (GLP-1RAs) and suicidal or self-injurious behaviors (SSIBs) is crucial for public safety. This study investigated the potential association between GLP-1RAs and SSIBs by exploring the FDA Adverse Event Reporting System (FAERS) database. METHODS: A disproportionality analysis was conducted using post-marketing data from the FAERS repository (2018 Q1 to 2022 Q4). SSIB cases associated with GLP-1RAs were identified and analyzed through disproportionality analysis using the information component. The parametric distribution with a goodness-of-fit test was employed to analyze the time-to-onset, and the Ω shrinkage was used to evaluate the potential effect of co-medication on the occurrence of SSIBs. RESULTS: In total, 204 cases of SSIBs associated with GLP-1RAs, including semaglutide, liraglutide, dulaglutide, exenatide, and albiglutide, were identified in the FAERS database. Time-of-onset analysis revealed no consistent mechanism for the latency of SSIBs in patients receiving GLP-1RAs. The disproportionality analysis did not indicate an association between GLP-1RAs and SSIBs. Co-medication analysis revealed 81 cases with antidepressants, antipsychotics, and benzodiazepines, which may be proxies of mental health comorbidities. CONCLUSIONS: We found no signal of disproportionate reporting of an association between GLP-1RA use and SSIBs. Clinicians need to maintain heightened vigilance on patients premedicated with neuropsychotropic drugs. This contributes to the greater acceptance of GLP-1RAs in patients with type 2 diabetes mellitus or obesity.

Optimization of oral isavuconazole dose for population in special physiological or pathological state: a physiologically based pharmacokinetics model-informed precision dosing.

OBJECTIVE: To recommend precision dosing and improve therapeutic efficacy against invasive fungal disease, a physiologically based pharmacokinetic model (PBPK) of oral isavuconazole (ISA) was established and used to explore its disposition across populations in different physiological and pathological states. METHODS: Twenty-five pharmacokinetic (PK) studies of oral ISA were identified through a systematic search of PubMed. Concentration-time data were extracted using WebPlotDigitizer. Physiochemical parameters were obtained from published literature and DrugBank. Model development and simulation used the Simcyp population-based simulator, and visual predictive check and predictive error were used for the model evaluation. Probability of target attainment and the cumulative fraction of response analyses were performed for dose optimization. RESULTS: The developed PBPK model was successfully validated in different populations. Most predicted concentration-time points aligned with the observed data, with acceptable predictive errors for the critical parameters. We predicted the PK profiles and parameters of ISA in a population with severe hepatic impairment (HI), a population with obesity and paediatric patients aged 1 to less than 6 years old. The probability of target attainment and cumulative fraction of response analyses indicated that the population with severe HI should have half the maintenance dose. The population with obesity and population with severe HI should have a loading dose of 300 mg every 8 h for 2 days. For paediatric patients aged 1 to less than 6 years old, a weight-based dosing regimen (5.38 mg/kg) of ISA was suggested. CONCLUSION: The predicted value aligns with observations, suggesting ISA's potential predictability in PK profiles for other populations. The recommended dosing regimens increase our understanding of the use of ISA in special populations.

First-Line Treatment with Atezolizumab plus Bevacizumab and Chemotherapy for US Patients with Metastatic, Persistent, or Recurrent Cervical Cancer: A Cost-Effectiveness Analysis.

OBJECTIVE: The BETAcc clinical trial demonstrated that chemotherapy combined with bevacizumab plus atezolizumab (CBA) significantly prolonged progression-free survival (PFS) and overall survival (OS) in patients with metastatic, persistent, or recurrent cervical cancer. However, to our knowledge, the economic value of using this new therapy for this indication is currently unknown. Therefore, our study aims to evaluate the cost-effectiveness of CBA for the first-line treatment of metastatic, persistent, or recurrent cervical cancer from the United States healthcare payers perspective. METHODS: A state-transition Markov model over a 10-year lifetime horizon was developed to compare the cost and effectiveness of CBA versus chemotherapy plus bevacizumab (CB). The primary outcomes of our study included costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). One-way sensitivity analysis and probabilistic sensitivity analysis were performed to assess the robustness of the results. RESULTS: CBA was associated with an additional 0.58 QALY at an extra cost of $172,495.90 compared to CB. The ICER was $295,972.43/QALY, significantly higher than the willingness-to-pay (WTP) threshold value of $150,000/QALY. One-way sensitivity analyses revealed that results were most sensitive to the PFD utility, the unit cost of atezolizumab, and PD utility. Probabilistic sensitivity analysis indicated that CBA achieved a 4.3% probability of cost-effectiveness at a $150,000/QALY threshold. To achieve cost-effectiveness, the unit price of atezolizumab must be reduced by approximately 56.6%. CONCLUSIONS: CBA treatment is unlikely to be a cost-effective option compared with CB for patients with persistent, recurrent, or metastatic cervical cancer in the United States.

Exploring the Link Between Exogenous Thyroid Hormones and Dementia Symptoms: A Real-World Disproportionality Analysis of FDA Adverse Event Reporting System.

BACKGROUND: A growing body of evidence indicates a strong association between exogenous thyroid hormone (ETH) and brain health. Establishing the potential relationship between ETH therapy and dementia symptoms is crucial for patients with thyroid disorders. OBJECTIVE: In this study, we investigate the potential association between ETH therapy and dementia symptoms by exploring the Food and Drug Administration Adverse Event Reporting System (FAERS) database. METHODS: Disproportionality analysis (DPA) was conducted using postmarketing data from the FAERS repository (Q1 2004 to Q4 2023). Cases of dementia symptoms associated with ETH therapy were identified and analyzed through DPA using reporting odds ratios and information component methods. Dose and time-to-onset analyses were performed to assess the association between ETH therapy and dementia symptoms. RESULTS: A total of 9889 cases of ETH-associated symptoms were identified in the FAERS database. Dementia accounted for a consistent proportion of adverse drug reactions each year (3.4%-6.3%). The DPA indicated an association between ETH therapy and dementia symptoms, which remained significant even across sex, age, and indications. The median time-to-onset of dementia symptoms was 7.5 days, and the median treatment time was 40.5 days. No significant dose-response relationship was observed. CONCLUSION AND RELEVANCE: This study provides evidence for a link between ETH therapy and dementia. Clinicians are therefore advised to exercise vigilance, conduct comprehensive monitoring, and consider individualized dosing to mitigate potential reactions to ETH drug administration.

Population pharmacokinetic analyses of methotrexate in pediatric patients: a systematic review.

BACKGROUND AND OBJECTIVES: Methotrexate is widely utilized in the chemotherapy of malignant tumors and autoimmune diseases in the pediatric population, but dosing can be challenging. Several population pharmacokinetic models were developed to characterize factors influencing variability and improve individualization of dosing regimens. However, significant covariates included varied across studies. The primary objective of this review was to summarize and discuss population pharmacokinetic models of methotrexate and covariates that influence pharmacokinetic variability in pediatric patients. METHODS: Systematic searches were conducted in the PubMed and EMBASE databases from inception to 7 July 2023. Reporting Quality was evaluated based on a checklist with 31 items. The characteristics of studies and information for model construction and validation were extracted, summarized, and discussed. RESULTS: Eighteen studies (four prospective studies and fourteen retrospective studies with sample sizes of 14 to 772 patients and 2.7 to 93.1 samples per patient) were included in this study. Two-compartment models were the commonly used structural models for methotrexate, and the clearance range of methotrexate ranged from 2.32 to 19.03 L/h (median: 6.86 L/h). Body size and renal function were found to significantly affect the clearance of methotrexate for pediatric patients. There were limited reports on the role of other covariates, such as gene polymorphisms and co-medications, in the pharmacokinetic parameters of methotrexate pediatric patients. Internal and external evaluations were used to assess the performance of the population pharmacokinetic models. CONCLUSION: A more rigorous external evaluation needs to be performed before routine clinical use to select the appropriate PopPK model. Further research is necessary to incorporate larger cohorts or pool analyses in specific susceptible pediatric populations to improve the understanding of predicted exposure profiles and covariate identification.

Randomized controlled trial of an app for cancer pain management.

PURPOSE: The primary objective of this investigation was to devise a mobile application for self-management of cancer-related discomfort, with the overarching goal of enhancing patients' overall well-being. Would the utilization of the self-management application result in an amelioration of life quality compared to conventional follow-up procedures? METHODS: Modules were meticulously devised with the collaborative expertise of oncology pain specialists employing the Delphi technique. Reliability of the consultation was assessed using Cronbach's α. After developing the app, a prospective randomized controlled study was conducted to evaluate the app's effect on participants' quality of life. The trial group used the app; the control group received a follow-up telephone consultation. Assessments of quality of life were conducted both at baseline and following a 4-week intervention period. RESULTS: After two rounds of Delphi expert consultation, the functional modules of Pain Guardian were determined to include five functional modules, including pain self-measurement (real-time dynamic recording of pain by patients), patient reminders (reminders of outbreaks of pain disposal, medication, and review), uploading of examination reports, online consultation, health education, and other functional modules. Cronbach's α was 0.81. Overall, 96 patients (including esophageal, gastric, colorectal, nasopharyngeal, pulmonary, pancreatic, breast, ovarian, uterine, bone, thoracic, bladder, cervical, soft tissue sarcoma, mediastinal, and lymphoma) with cancer pain were divided into the trial and control groups. There were no significant differences in basic information and quality of life at baseline between groups. After 4 weeks of intervention, quality of life was significantly higher in the trial group than in the control group. Patients' satisfaction with the app was high (93.7%). CONCLUSIONS: The primary obstacle encountered in the development of applications for managing cancer-related discomfort lies in the sensitive nature of the subject matter, potentially leading to patient apprehension regarding application usage for pain management. Consequently, meticulous attention to user preferences and anticipations is imperative, necessitating the creation of an application characterized by user-friendliness and medical efficacy. TRIAL REGISTRATION: Chinese Clinical Trials Registry ChiCTR1800016066; http://www.chictr.org.cn/showproj.aspx?proj=27153 . Date of Registration: 2018-05-09.

Three methods to optimise polymyxin B dosing using estimated AUC after first dose: validation with the data generated by Monte Carlo simulation.

To achieve the AUC-guided dosing, we proposed three methods to estimate polymyxin B AUC across 24 h at steady state (AUCSS,24h) using limited concentrations after its first dose.Monte Carlo simulation based on a well-established population PK model was performed to generate the PK profiles of 1000 patients with normal or abnormal renal function. Polymyxin B AUCSS,24h was estimated for each subject using three methods (two-point PK approach, three-point PK approach, and four-point PK approach) based on limited concentration data in its first dose and compared with the actual AUC at steady state calculated using the linear-trapezoidal formula.In patients with normal renal function, the mean bias of two-point PK approach, three-point PK approach, and four-point PK approach was -8.73%, 1.37%, and -0.48%, respectively. The corresponding value was -11.15%, 1.99%, and -0.28% in patients with renal impairment, respectively. The largest mean bias of two-point PK approach, three-point PK approach, and four-point PK approach was -12.63%, -6.47%, and -0.54% when the sampling time shifted.The Excel calculators designed based on the three methods can be potentially used to optimise the dosing regimen of polymyxin B in the clinic.

A systematic evaluation of population pharmacokinetic models for polymyxin B in patients with liver and/or kidney dysfunction.

Polymyxin B (PMB) is considered a last-line treatment for multidrug-resistant (MDR) gram-negative bacterial infections. Model-informed precision dosing with population pharmacokinetics (PopPK) models could help to individualize PMB dosing regimens and improve therapy. However, the external prediction ability of the established PopPK models has not been fully elaborated. This study aimed to systemically evaluate eleven PMB PopPK models from ten published literature based on a new independent population, which was divided into four different populations, patients with liver dysfunction, kidney dysfunction, liver and kidney dysfunction, and normal liver and kidney function. The whole data set consisted of 146 patients with 391 PMB concentrations. The prediction- and simulation-based diagnostics and Bayesian forecasting were conducted to evaluate model predictability. In the overall evaluation process, none of the models exhibited satisfactory predictive ability in both prediction- and simulation-based diagnostic simultaneously. However, the evaluation of the models in the subgroup of patients with normal liver and kidney function revealed improved predictive performance compared to those with liver and/or kidney dysfunction. Bayesian forecasting demonstrated enhanced predictability with the incorporation of two to three prior observations. The external evaluation highlighted a lack of consistency between the prediction results of published models and the external validation dataset. Nonetheless, Bayesian forecasting holds promise in improving the predictive performance of the models, and feedback from therapeutic drug monitoring is crucial in optimizing individual dosing regimens.

Movement disorders associated with antiseizure medications: A real-world disproportionality analysis of the Food and Drug Administration Adverse Event Reporting System.

AIMS: Patients with epilepsy often require long-term use of antiseizure medications (ASMs) to control their seizures. However, movement disorders (MDs) related to ASMs can significantly impact their quality of life. This study aims to analyse MDs related to ASMs in the Food and Drug Administration Adverse Event Reporting System database to provide recommendations for safe medication. METHODS: All adverse drug reactions associated with 26 marketed ASMs in Food and Drug Administration Adverse Event Reporting System were extracted for analysis. Disproportionality analyses were used to assess the association between ASMs and MDs, and signal colour scale maps were created to identify potential ASM-MD safety signals. RESULTS: A total of 1921 cases experienced MDs while taking ASMs were included. A higher prevalence of MDs was observed in females compared to males. The association between specific MDs with ASMs was revealed, including known and unknown MDs such as tremors, Parkinson and paralysis. Lamotrigine and carbamazepine exhibited multiple significant MDs, while levetiracetam and pregabalin were linked to the earlier onset of MDs. Generally, higher doses were linked to a higher incidence of MDs. CONCLUSION: MDs were the most obvious adverse drug reactions in the nervous system triggered by using ASMs. Fourteen drugs exhibited positive signals for MDs, including some not previously reported. Conversely, 12 ASMs were deemed to have a lower possibility of inducing MDs. The incidence of MDs can be mitigated by selecting appropriate ASMs for epileptic patients. These findings enhance our understanding of the relationship between ASMs and MDs.

Population pharmacokinetics of polymyxin B in patients with liver dysfunction.

AIMS: Polymyxin B (PMB) is widely used to treat infections caused by multidrug-resistant Gram-negative pathogens. Currently, the pharmacokinetic data of PMB in patients with liver dysfunction are limited. This study aimed to develop a population pharmacokinetic (PopPK) model of PMB in patients with liver dysfunction and identify the factors affecting PMB pharmacokinetics. METHODS: We conducted a retrospective pharmacokinetic study involving 136 adults with different levels of liver function. Nonlinear mixed effects modelling was used to develop a PopPK model of PMB. Monte Carlo simulation was used to design PMB dosage schedules across various liver and renal functions. RESULTS: PMB pharmacokinetic analyses included 401 steady-state concentrations in 136 adult patients. A one-compartment pharmacokinetic model with first-order absorption and elimination was used to describe the data. The typical population value of PMB clearance was 2.43 L/h and the volume of distribution was 23.11 L. This study revealed that creatinine clearance (CrCL) and Child-Pugh class were significantly associated with PMB pharmacokinetic parameters; however, clinically relevant variations of dose-normalized drug exposure were not significant. For patients with a minimum inhibitory concentration of ≤0.5 mg/L, the appropriate dose was 40-75 mg/12-h. When the dose exceeded 100 mg/12-h, the risk of nephrotoxicity increased significantly. CONCLUSIONS: This study provided PMB pharmacokinetic information for patients with liver dysfunction. Patients with renal and liver dysfunctions may not require an initial dose adjustment. Rather than PopPK-guided dose adjustment, therapeutic drug monitoring of PMB plays a more direct role in optimizing dosing regimens based on its therapeutic window.

Metabolomic profiling reveals the mechanisms underlying the nephrotoxicity of methotrexate in children with acute lymphoblastic leukemia.

BACKGROUND: Methotrexate is widely recommended as a first-line treatment for the intensive systemic and consolidation phases of childhood acute lymphoblastic leukemia. However, methotrexate-induced nephrotoxicity is a severe adverse reaction, of which the mechanisms remain unclear. METHODS: An untargeted metabolomics analysis of serum from childhood acute lymphoblastic leukemia patients with delayed methotrexate excretion, with or without acute kidney injury, was performed to identify altered metabolites and metabolic pathways. An independent external validation cohort and in vitro HK-2 cell assays further verified the candidate metabolites, and explored the mechanisms underlying the nephrotoxicity of methotrexate. RESULTS: Four metabolites showed significant differences between normal excretion and delayed excretion, seven metabolites reflected the differences between groups with or without acute kidney injury, and six pathways were finally enriched. In particular, oxidized glutathione was confirmed as a candidate metabolite involved in the toxicity of methotrexate. We further explored the role of glutathione deprivation-induced ferroptosis on methotrexate cytotoxicity, and it was found that methotrexate overload significantly reduced cell viability, triggered reactive oxygen species and intracellular Fe2+ accumulation, and altered the expression of ferroptosis-related proteins in HK-2 cells. These methotrexate-induced changes were alleviated or reversed by the administration of a ferroptosis inhibitor, further suggesting that ferroptosis promoted methotrexate-induced cytotoxicity in HK-2 cells. CONCLUSIONS: Our findings revealed complex metabolomic profiles and provided novel insights into the mechanism by which ferroptosis contributes to the nephrotoxic effects of methotrexate.

Efficacy of non-pharmacological interventions in pain relief and opioid consumption after cardiac surgery: A systematic review and Bayesian network meta-analysis.

OBJECTIVE: To investigate and rank the evidence for the efficacy of non-pharmacological interventions in relieving pain after cardiac surgery using comprehensive comparisons. BACKGROUND: Although several previous systematic reviews and meta-analyses showed that non-pharmacological interventions effectively control and reduce pain after cardiac surgery, none quantitatively compared the effect of these different types of interventions. DESIGN: Systematic review and Bayesian network meta-analysis based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Network Meta-Analysis guidelines. METHODS: Six databases were searched from inception to April 2021 to collect all published evidence from randomised clinical trials. One author extracted the relevant information from the eligible trials; a second author independently reviewed the data. Before analysing the extracted data, two investigators independently assessed the quality of the included studies. Conventional meta-analysis was conducted using either fixed- or random-effects models according to statistical heterogeneity. The Bayesian network meta-analysis was conducted using the consistency model. RESULTS: We identified 42 randomised clinical trials comparing 14 groups with 4253 patients. Transcutaneous electrical nerve stimulation, acupressure, music and massage were effective for pain relief, with transcutaneous electrical nerve stimulation being associated with the best probability of successful pain relief after cardiac surgery (cumulative ranking curve surface, 0.97; probability, 77.03%). Acupressure (cumulative ranking curve surface, 0.79; probability, 30.69%) was the second-best option. However, there was no evidence that any pair-up intervention significantly reduced opioid use or anxiety. CONCLUSIONS: These findings suggest that transcutaneous electrical nerve stimulation, acupressure, music and massage may effectively alleviate postoperative cardiac pain, with transcutaneous electrical nerve stimulation representing the best choice for pain relief. RELEVANCE TO CLINICAL PRACTICE: The results of this network meta-analysis can guide patients after cardiac surgery and healthcare providers to make optimal decisions in managing postoperative cardiac pain. TRIAL REGISTRATION: PROSPERO CRD42021246183.

Fixed-dose administration and pharmacokinetically guided adjustment of busulfan dose for patients undergoing hematopoietic stem cell transplantation: a meta-analysis and cost-effectiveness analysis.

This study aims to evaluate the efficacy, safety, and long-term cost-effectiveness of fixed-dose busulfan (Bu) administration and pharmacokinetically (PK) guided adjustment of Bu dose for patients who underwent hematopoietic stem cell transplantation. The efficacy and safety of both dosing strategies were compared using a systematic review and meta-analysis. A Markov model was used in estimating relevant cost and health outcomes from the perspective of the health system. The primary outcomes of interest were lifetime cost, quality adjusted life-years (QALYs) gained, and incremental cost-effectiveness ratio (ICER) in dollar per QALY gained. Results showed that progression-free survival and overall survival in the PK-guided group were higher than that in the fixed-dose group, and the PK-guided group was associated with low non-relapse mortality and relapse rate. In contrast to safety, the incidence of acute graft-versus-host disease (GVHD) was the same in the two groups (P > 0.05). Cost-effectiveness analysis showed that the QALY of the PK-guided group (12.8135 QALYs and $582,475.07) increased by 2.0609 relative to that in the fixed-dose group (10.7526 QALYs and $562,833.20), and the ICER was $9530.72/QALY. One-way and probability sensitivity analyses confirmed the reliability of the results. In conclusion, the PK-guided approach has higher efficacy and is safer.

The association between proton pump inhibitor use and systemic anti-tumour therapy on survival outcomes in patients with advanced non-small cell lung cancer: A systematic review and meta-analysis.

AIMS: Proton pump inhibitors (PPIs) are often prescribed to prevent or treat gastrointestinal disease. Whether the combination of systemic anti-tumour therapy and PPIs leads to poor outcomes in patients with advanced non-small cell lung cancer (NSCLC) is unclear. This systematic review explored the relationship between PPIs and survival outcomes of patients with advanced NSCLC who are receiving systemic anti-tumour therapy. METHODS: We searched studies reporting the overall survival (OS) and/or progression-free survival (PFS) of advanced NSCLC patients who are receiving systemic anti-tumour therapy with or without PPIs on PubMed, EMBASE and the Cochrane Library for literature published prior to 31 August 2021. The meta-analysis used a random effects model to estimate the hazard ratio (HR) with 95% confidence intervals (CI) and I2 to assess statistical heterogeneity. Publication bias and sensitivity analysis were performed. RESULTS: Fourteen retrospective studies comprising 13 709 advanced NSCLC patients were identified. Subgroup analyses showed that the use of PPI was correlated with the OS or PFS of patients receiving chemotherapy, targeted therapy, and immunotherapy (PPI users' group vs non-users' group: HR for OS = 1.35, 95% CI = 1.21-1.51, P < .00001; HR for PFS = 1.50, 95% CI = 1.25-1.80, P < .0001). Publication bias and sensitivity analyses confirmed that the results were robust. CONCLUSION: Meta-analysis demonstrated that PPI use in advanced NSCLC patients who were undergoing systemic anti-tumour therapy was correlated with increased mortality risk. Until results are further confirmed, caution should be applied when administering PPIs and systemic anti-tumour therapy to advanced NSCLC patients.

External evaluation of population pharmacokinetic models for voriconazole in Chinese adult patients with hematological malignancy.

OBJECTIVES: Patients with hematological malignancies are prone to invasive fungal disease due to long-term chemotherapy or radiotherapy. Voriconazole is a second-generation triazole broad-spectrum antibiotic used to prevent or treat invasive fungal infections. Many population pharmacokinetic (pop PK) models have been published for voriconazole, and various diagnostic methods are available to validate the performance of these pop PK models. However, most of the published models have not been strictly evaluated externally. The purpose of this study is to evaluate these models externally and assess their predictive capabilities. METHODS: The external dataset consists of adults receiving voriconazole treatment at Fujian Medical University Union Hospital. We re-established the published models based on their final estimated values in the literature and used our external dataset for initial screening. Each model was evaluated based on the following outcomes: prediction-based diagnostics, prediction- and variability-corrected visual predictive check (pvcVPC), normalized prediction distribution errors (NPDE), and Bayesian simulation results with one to two prior observations. RESULTS: A total of 237 samples from 166 patients were collected as an external dataset. After screening, six candidate models suitable for the external dataset were finally obtained for comparison. Among the models, none demonstrated excellent predictive performance. Bayesian simulation shows that all models' prediction precision and accuracy were significantly improved when one or two prior concentrations were given. CONCLUSIONS: The published pop PK models of voriconazole have significant differences in prediction performance, and none of the models could perfectly predict the concentrations of voriconazole for our data. Therefore, extensive evaluation should precede the adoption of any model in clinical practice.

Effect of posaconazole on the concentration of intravenous and oral cyclosporine in patients undergoing hematopoietic stem cell transplantation.

PURPOSE: This study aimed to investigate the interactions between posaconazole (POS) and intravenously/orally administered cyclosporine A (CsA) in allogeneic hematopoietic stem cell transplant (HSCT) recipients. METHODS: We included 118 allogeneic HSCT patients who received CsA and POS simultaneously between January 2017 and June 2020 in this study. The ratio of CsA blood concentration (ng/mL) to dosage (mg/day) (C/D) before and after POS initiation was compared. RESULTS: After the initiation of POS, the level of CsA increased 1 to 2 times in 66% (78/118) of patients compared to those without POS. However, the CsA C/D ratio increased by more than threefold in 6% (7/118) of patients after POS initiation, with an increase of more than fourfold in two patients. The median C/D ratio of CsA increased from 0.89 to 1.23 (P < 0.001) and 0.78 to 1.22 (P < 0.001) after POS initiation when CsA was administered intravenously and orally, respectively. In patients who received POS at the time of transition from intravenous to oral CsA, the value increased from 1.01 to 1.38 (P = 0.001). The route of administration had no significant effect on the change in the CsA C/D ratio (P = 0.615). Additionally, we observed the time required for the C/D ratio to reach a plateau after POS initiation was similar on days 13, 8, and 15 under various scenarios. CONCLUSION: POS treatment increased blood CsA levels. A large variability was found in the fold-change in the CsA C/D ratio. Therefore, CsA doses should be adjusted by closely monitoring the blood levels of CsA after POS initiation.

Cost-effectiveness analysis of axicabtagene ciloleucel vs. salvage chemotherapy for relapsed or refractory adult diffuse large B-cell lymphoma in China.

PURPOSE: Axicabtagene ciloleucel (Axi-Cel, 2 × 106 CAR-T cells/kg, single intravenous injection) is a chimeric antigen receptor cell immunotherapy that exhibits favorable clinical efficacy and safety in patients with relapsed or refractory diffuse large B-cell lymphoma (R/R DLBCL). However, this treatment is expensive in China. This study aimed to evaluate the cost-effectiveness of Axi-Cel versus salvage chemotherapy for the treatment of R/R DLBCL from the perspective of the Chinese healthcare system. METHODS: A decision analysis model containing a short-term decision tree and long-term semi-Markov partitioned survival model was developed. The time horizon was 40 years and the period from 10 to 40 years was included in sensitivity analysis. The model was developed based on data from the ZUMA-1 and SCHOLAR-1 trials. Life years, quality-adjusted life years (QALYs), overall costs, and the incremental cost-effectiveness ratio (ICER) were estimated at a willingness to pay (WTP) threshold of US $31,320 per QALY, which is three times the gross domestic product per capita. RESULTS: The base case analysis revealed that treatment with Axi-Cel is associated with an increased overall cost of US $175,380 and improved effectiveness of 3.43 LYs and 2.61 QALYs compared to salvage chemotherapy, leading to an ICER of US $51,190 per LY and US $67,250 per QALY. The developed model is sensitive to the discount rate, utility of progression-free survival (PFS), and cost of Axi-Cel. The ICER of Axi-Cel was greater than the WTP threshold in the sensitivity and scenario analyses. To achieve cost-effectiveness, the price of Axi-Cel must be reduced by 59.19% to US $71,000. CONCLUSION: At its current price, Axi-Cel is not likely to be a cost-effective option compared to salvage chemotherapy for adult patients with R/R DLBCL.

Efficacy and safety of rituximab biosimilars or reference product as first-line treatment in patients with low-tumour-burden follicular lymphoma: A systematic review and meta-analysis.

WHAT IS KNOWN AND OBJECTIVE: The role of rituximab in the first-line treatment of low-tumour-burden follicular lymphoma (LTB-FL) has been supported by a large number of data. However, whether rituximab biosimilars have the same efficacy and safety as the reference drug (MabThera) is still controversial. METHODS: Electronic databases and the ClinicalTrail.gov website were extensively searched using relevant search criteria. The risk of bias of the included studies was assessed using the RoB 2 assessment scale, and the RevMan 5.4 statistical software was used for meta-analysis. RESULTS AND DISCUSSION: A total of 1223 patients were included in four clinical randomized controlled trials. There was no statistical difference in efficacy between biosimilars and MabThera groups (the objective response rate: RR = 1.00, 95% CI: 0.93-1.08, p = 0.92; the progression-free survival: RR = 1.04, 95% CI: 0.96-1.12, p = 0.30; the overall survival: RR = 1.00, 95% CI: 0.98-1.03, p = 0.76; the serious adverse events: RR = 1.15, 95% CI: 0.69-1.89, p = 0.59; the infusion-related reaction: RR = 0.91, 95% CI: 0.77-1.09, p = 0.32). In terms of safety, there was also no significant difference between two groups. WHAT IS NEW AND CONCLUSION: Our study concluded that the efficacy and safety of rituximab biosimilars in the treatment of LTB-FL are highly similar to those of the original drug.

Rapid, simple, and economical LC-MS/MS method for simultaneous determination of ceftazidime and avibactam in human plasma and its application in therapeutic drug monitoring.

WHAT IS KNOWN AND OBJECTIVE: Carbapenem-resistant Gram-negative bacterial pathogens continue to threaten public health. Avibactam (AVI), a novel non-ß-lactam ß-lactamase inhibitor, has been approved for use with ceftazidime (CAZ) mainly against carbapenem-resistant Enterobacteriaceae. Therapeutic drug monitoring (TDM) is urgently needed to optimize dosage regimens to maximize efficacy, minimize toxicity, and delay the emergence of resistance. This study aims to develop and validate a rapid, simple, and economical LC-MS/MS method for simultaneous determination of CAZ/AVI in human plasma. METHODS: Samples were processed by simple protein precipitation, and gradient elution strategy was applied to separate CAZ and AVI on a reverse-phase C18 column; with subsequent detection by the mass spectrometer in a positive and negative ion switching mode. Plasma samples from patients were analysed. RESULTS AND DISCUSSION: A 4-min run of LC-MS/MS was developed. The precision, trueness, matrix effect, extraction recovery, carry-over, dilution integrity, and stability were all acceptable for a bioanalytical method. The method was successfully applied to the determination of CAZ and AVI in patients, and a considerable PK variability of CAZ/AVI was observed among patients. WHAT IS NEW AND CONCLUSION: A robust, rapid, simple, and economical LC-MS/MS method for the simultaneous determination of CAZ and AVI was developed. The considerable PK variability of CAZ/AVI among patients demonstrates the clinical significance of TDM.