BMJ Open
November 2024
Objectives: To estimate thresholds for defining meaningful within-patient improvement from baseline to weeks 13-24 and interpreting meaningfulness of between-group difference for the non-transfusion-dependent beta-thalassaemia patient-reported outcome (NTDT-PRO) tiredness/weakness (T/W) and shortness of breath (SoB) scores. A secondary objective was to determine the symptom severity threshold for the NTDT-PRO T/W domain to identify patients with symptomatic T/W.
Design: Pooled blinded data from the phase 2, double-blind, placebo-controlled, randomised BEYOND trial in NTDT (NCT03342404) were used.
Objectives: Cystic fibrosis (CF) is a rare genetic disease characterized by life-shortening lung function decline. Ivacaftor, a CF transmembrane conductance regulator modulator (CFTRm), was approved in 2012 for people with CF with specific gene mutations. We used real-world evidence of 5-year mortality impacts of ivacaftor in a US registry population to validate a CF disease-progression model that estimates the impact of ivacaftor on survival.
View Article and Find Full Text PDFBackground: For patients with lower-risk (LR) myelodysplastic syndromes (MDS), overall survival (OS) is rarely a primary clinical trial endpoint. Treatments such as lenalidomide can reduce red blood cell (RBC) transfusion burden (TB) and serum ferritin, but the long-term impact on OS remains undetermined.
Patients And Methods: Data from 3 trials evaluating lenalidomide in patients with LR-MDS (the phase 2 MDS-003 and phase 3 MDS-004 trials in del[5q]; the phase 3 trial MDS-005 in non-del[5q] patients) were pooled.
Adv Ther
October 2021
Dermatol Ther (Heidelb)
October 2021
Background: Lumacaftor/ivacaftor combination therapy is efficacious and generally safe for patients with cystic fibrosis (CF) homozygous for the F508del-CF transmembrane conductance regulator (CFTR) mutation. However, long-term survival benefits of lumacaftor/ivacaftor (LUM/IVA) cannot yet be quantified. Simulation models can provide predictions about long-term health outcomes.
View Article and Find Full Text PDFPurpose: Pomalidomide plus low-dose dexamethasone (POM-d), daratumumab monotherapy (DARA), and carfilzomib monotherapy (CAR) have been approved for use in the treatment of patients with heavily pretreated relapsed-refractory multiple myeloma (RRMM) in the US, based on findings from the MM-002, SIRIUS, and PX-171-003-A1 studies, respectively. The objective of this study was to assess the cost-effectiveness of POM-d, DARA, and CAR in this patient population from a US payer's perspective.
Methods: A cost-effectiveness model was developed to estimate the cost and health outcomes over a 3-year time horizon in 3 health states: progression-free, post-progression, and death.
Objective: The economic implications from the US Medicare perspective of adopting alternative treatment strategies for acute bacterial skin and skin structure infections (ABSSSIs) are substantial. The objective of this study is to describe a modeling framework that explores the impact of decisions related to both the location of care and switching to different antibiotics at discharge.
Methods: A discrete event simulation (DES) was developed to model the treatment pathway of each patient through various locations (emergency department [ED], inpatient, and outpatient) and the treatments prescribed (empiric antibiotic, switching to a different antibiotic at discharge, or a second antibiotic).
The growing number of disease-modifying treatments (DMTs) for patients with multiple sclerosis (MS) and the high acquisition costs of these DMTs are likely to increase the demand for information on their cost effectiveness. To improve the comparability and applicability of the findings from future cost-effectiveness analyses, it would be useful to have a clear understanding of the methodological challenges of modelling the cost effectiveness of DMTs in MS and the different approaches taken by such studies to date. In contrast to previous review studies, this review focuses on long-term time horizon (≥10 years) simulation-based cost-effectiveness analyses with homogeneous contexts of analysis (i.
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