treatment comparisons
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2022 ◽  
Author(s):  
Ming-min Cai ◽  
Ting Dou ◽  
Lu Tang ◽  
Qiu-yue Sun ◽  
Zi-hong Zhai ◽  
...  

Abstract Purpose: Pyrotinib (PTN) is primarily metabolized by cytochrome P450 (CYP)3A4 isozyme. Rifampicin (RIF) is a strong CYP3A4 inducer. Thus, the effect of oral RIF on PTN pharmacokinetics (PK) was evaluated to provide dose recommendation when co-administered.Method: This phase I, open-label study investigated the effects of steady-state RIF administration on single-dose PK of PTN, in 18 healthy participants who received PTN 400 mg single doses on days 1 and 13, and were administrated with RIF 600 mg qd on days 6-16. Each dose for RIF was administrated on an empty stomach, PTN were administrated orally in the morning 30 min after the start of the standard meal. Serial PK samples for PTN were collected on day 1 and day 13. Plasma PTN PK parameters were determined with non-compartmental analysis. Geometric least-squares mean ratios (GMRs) and 90% confidence intervals (CIs) were generated by the mixed-effected model for within-subject treatment comparisons. Safety assessments were performed throughout the study.Results: Eighteen subjects were enrolled and 15 completed the study. RIF significantly reduced PTN exposure: GMRs (90 % CI) for PTN + RIF versus PTN alone were 0.04 (0.034,0.049), 0.04 (0.037,0.054), and 0.11 (0.09,0.124) for area under the curve from time zero to time of last quantifiable concentration (AUC0-t), area under the curve from time zero to infinity (AUC0-∞ ), and maximum observed plasma concentration(Cmax), respectively. PTN alone and co-administered with RIF was well tolerated.Conclusion: Concurrent administration of PTN and RIF was associated with significantly decreased systemic exposure to PTN. The findings suggest that concomitant strong CYP3A4 inducers should be avoided during PTN treatment. Concurrent administration of PTN and RIF was well tolerated.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 5034-5034
Author(s):  
Patrick Daniele ◽  
Pranav Abraham ◽  
Arianna Kee ◽  
Gabriel Tremblay ◽  
Shelonitda Rose ◽  
...  

Abstract Introduction: Myelofibrosis (MF) is a Philadelphia chromosome-negative myeloproliferative neoplasm with an estimated prevalence of 4-6/100,000 persons in the USA. Patients with MF experience aberrant hematopoiesis, bone marrow fibrosis, splenomegaly, and cytopenias, including thrombocytopenia, as well as diminished survival ranging from months to years, depending on risk status. Symptoms progressively worsen, underscoring the need for effective treatments across heterogeneous risk statuses and patient dispositions. Among intermediate- to high-risk patients, Janus kinase 2 (JAK2) inhibitors are the primary treatment for MF. Fedratinib was approved by the US Food and Drug Administration (FDA) based on the results of the JAKARTA trials (NCT01437787; NCT01523171), and a new drug application for pacritinib has been submitted to the FDA for the treatment of MF in patients with severe thrombocytopenia. A head-to-head trial of fedratinib and pacritinib for the treatment of MF has not been conducted. Moreover, there is a paucity of evidence evaluating these agents in patients with MF and thrombocytopenia (platelets < 100 × 10 9/L). Therefore, indirect treatment comparisons (ITCs) are required to assess the comparative efficacy of fedratinib and pacritinib in this population. Methods: A systematic literature review (SLR) was conducted to identify all clinical evidence in patients with MF and thrombocytopenia. Based on the SLR results, the JAKARTA, JAKARTA-2, and PERSIST-2 (NCT01773187) trials were identified as the studies to form the basis of the ITC. A pooled analysis data set was developed based on individual patient-level data from the fedratinib 400-mg arms of the JAKARTA and JAKARTA-2 trials including patients with platelets < 100 × 10 9/L. Published summary data from the pacritinib 200-mg arm of the PERSIST-2 trial served as the comparator. Simulated treatment comparisons (STCs) were used to compare spleen volume reduction (SVR) ≥ 35% while adjusting for mutually reported baseline patient characteristics such as age, sex, Dynamic International Prognostic Scoring System, Eastern Cooperative Oncology Group (ECOG) performance status (PS), JAK2 V617F mutation status, prior ruxolitinib exposure, and laboratory tests. Final adjustment models were selected based on fit statistics and the literature review. Indirect relative risk (RR) was estimated with 95% confidence intervals (CIs) using unanchored naive ITC (unadjusted) and STC (adjusted) methodologies. The PERSIST-2 trial included patients with baseline platelets < 50 × 10 9/L, but did not report median baseline counts. Therefore, a sensitivity analysis was conducted to evaluate the impact of differential median baseline platelet counts. In the sensitivity analysis, an outcome model was generated in the full pooled JAKARTA trial population irrespective of platelet count, and platelet count was forced into the multivariable adjustment model. Outcomes were simulated at 3 median baseline platelet counts (25, 50, and 75 × 10 9/L) and compared using similar methodology to the main analysis. Results: The main analysis suggests that fedratinib is associated with a greater proportion of SVR ≥ 35% than pacritinib (Table, A). According to the naive ITC, fedratinib was numerically favored over pacritinib in terms of SVR ≥ 35% (RR, 1.67 [95% CI, 0.94-2.97]). After adjustment for ECOG PS, JAK2 V6127F mutation status, and prior ruxolitinib exposure, fedratinib was statistically favored relative to pacritinib for SVR ≥ 35% (RR, 1.76 [95% CI, 1.00-3.10]). Results of the platelet-count-adjusted sensitivity analysis showed that a significant difference was observed in favor of fedratinib with respect to SVR ≥ 35% (Table, B). The resulting indirect RRs were similar regardless of simulated median baseline platelet count, which suggest that differential baseline platelet count has a minimal impact on the ITC results. Conclusion: This analysis used a population-adjusted ITC to assess the comparative efficacy of pacritinib and fedratinib in patients with MF and thrombocytopenia. Following population adjustment, fedratinib was associated with a greater proportion of patients achieving SVR ≥ 35% than pacritinib. In lieu of a head-to-head clinical trial, further real-world evidence studies should be conducted to assess the effectiveness of these treatments in the clinical setting. Figure 1 Figure 1. Disclosures Daniele: BMS/Celgene: Consultancy; Purple Squirrel Economics: Current Employment. Abraham: Bristol Myers Squibb: Current Employment. Kee: Bristol Myers Squibb: Current Employment. Tremblay: Cytel: Consultancy; Purple Squirrel Economics: Current Employment. Rose: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. McBride: BMS: Current Employment.


2021 ◽  
Vol 74 (4) ◽  
pp. e376
Author(s):  
Thomas Joseph Perry ◽  
Simon Fraser ◽  
Kristine Orion ◽  
Mounir Haurani ◽  
Bryan Tillman ◽  
...  

2021 ◽  
Vol 2 (9) ◽  
pp. 773-784
Author(s):  
Saleema S. Rex ◽  
Lucksy Kottam ◽  
Catriona McDaid ◽  
Stephen Brealey ◽  
Joseph Dias ◽  
...  

Aims This systematic review places a recently completed multicentre randomized controlled trial (RCT), UK FROST, in the context of existing randomized evidence for the management of primary frozen shoulder. UK FROST compared the effectiveness of pre-specified physiotherapy techniques with a steroid injection (PTSI), manipulation under anaesthesia (MUA) with a steroid injection, and arthroscopic capsular release (ACR). This review updates a 2012 review focusing on the effectiveness of MUA, ACR, hydrodilatation, and PTSI. Methods MEDLINE, Embase, PEDro, Science Citation Index, Clinicaltrials.gov, CENTRAL, and the World Health Organization (WHO) International Clinical Trials Registry were searched up to December 2018. Reference lists of included studies were screened. No language restrictions applied. Eligible studies were RCTs comparing the effectiveness of MUA, ACR, PTSI, and hydrodilatation against each other, or supportive care or no treatment, for the management of primary frozen shoulder. Results Nine RCTs were included. The primary outcome of patient-reported shoulder function at long-term follow-up (> 6 months and ≤ 12 months) was reported for five treatment comparisons across four studies. Standardized mean differences (SMD) were: ACR versus MUA: 0.21 (95% confidence interval (CI) 0.00 to 0.42), ACR versus supportive care: -0.13 (95% CI -1.10 to 0.83), and ACR versus PTSI: 0.33 (95% CI 0.07 to 0.59) and 0.25 (95% CI -0.34 to 0.85), all favouring ACR; MUA versus supportive care: 0 (95% CI -0.44 to 0.44) not favouring either; and MUA versus PTSI: 0.12 (95% CI -0.14 to 0.37) favouring MUA. None of these differences met the threshold of clinical significance agreed for the UK FROST and most confidence intervals included zero. Conclusion The findings from a recent multicentre RCT provided the strongest evidence that, when compared with each other, neither PTSI, MUA, nor ACR are clinically superior. Evidence from smaller RCTs did not change this conclusion. The effectiveness of hydrodilatation based on four RCTs was inconclusive and there remains an evidence gap. Cite this article: Bone Jt Open 2021;2(9):773–784.


2021 ◽  
Vol 74 (3) ◽  
pp. e287
Author(s):  
Thomas J. Perry ◽  
Kristine Orion ◽  
Mounir Haurani ◽  
Bryan Tillman ◽  
Patrick Vaccaro ◽  
...  

Author(s):  
Jia-Yih Feng ◽  
Yi-Tzu Lee ◽  
Sheng-Wei Pan ◽  
Kuang-Yao Yang ◽  
Yuh-Min Chen ◽  
...  

Abstract Background Colistin is widely used in the treatment of nosocomial infections caused by carbapenem-resistant gram-negative bacilli (CR-GNB). Colistin-induced nephrotoxicity is one of the major adverse reactions during colistin treatment. Comparisons of colistin-induced nephrotoxicity between different formulations of colistin are rarely reported. Methods In this retrospective cohort study, we enrolled intensive care unit–admitted patients if they had culture isolates of CR-GNB and underwent intravenous treatment with colistin. The occurrence of acute kidney injury (AKI) during intravenous treatment with colistin was recorded. The occurrence of colistin-induced nephrotoxicity was compared between two formulations of colistin, Locolin®, and Colimycin®. Treatment outcomes associated with the occurrence of colistin-induced nephrotoxicity were also investigated. Results Among 195 patients, 95 who were treated with Locolin® and 100 who were treated with Colimycin® were included for analysis. Patients treated with Locolin® had a higher rate of occurrence of stage 2 (46.3% vs. 32%, p = 0.040) and stage 3 (29.5% vs. 13%, p = 0.005) AKI than did those treated with Colimycin®. In multivariate analysis, the presence of septic shock (adjusted odds ratio [aOR] 2.17, 95% confidence interval [CI] 1.10–4.26) and inappropriate colistin dosage (aOR 2.52, 95% CI 1.00–6.33) were clinical factors associated with colistin-induced nephrotoxicity. Treatment with Colimycin® was an independent factor associated with a lower risk of colistin-induced nephrotoxicity (aOR 0.37, 95% CI 0.18–0.77). The mortality rate was comparable between patients with and without colistin-induced nephrotoxicity. Conclusions The risk of colistin-induced nephrotoxicity significantly varied in different formulations of colistin in critically ill patients. Colistin-induced nephrotoxicity was not associated with increased mortality rate.


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