PMID- 35233731 OWN - NLM STAT- MEDLINE DCOM- 20220727 LR - 20231226 IS - 1573-904X (Electronic) IS - 0724-8741 (Print) IS - 0724-8741 (Linking) VI - 39 IP - 8 DP - 2022 Aug TI - Improved Confidence in a Confirmatory Stage by Application of Item-Based Pharmacometrics Model: Illustration with a Phase III Active Comparator-Controlled Trial in COPD Patients. PG - 1779-1787 LID - 10.1007/s11095-022-03194-1 [doi] AB - PURPOSE: The current study aimed to illustrate how a non-linear mixed effect (NLME) model-based analysis may improve confidence in a Phase III trial through more precise estimates of the drug effect. METHODS: The FULFIL clinical trial was a Phase III study that compared 24 weeks of once daily inhaled triple therapy with twice daily inhaled dual therapy in patients with chronic obstructive pulmonary disease (COPD). Patient reported outcome data, obtained by using The Evaluating Respiratory Symptoms in COPD (E-RS:COPD) questionnaire, from the FULFIL study were analyzed using an NLME item-based response theory model (IRT). The change from baseline (CFB) in E-RS:COPD total score over 4-week intervals for each treatment arm was obtained using the IRT and compared with published results obtained with a mixed model repeated measures (MMRM) analysis. RESULTS: The IRT included a graded response model characterizing item parameters and a Weibull function combined with an offset function to describe the COPD symptoms-time course in patients receiving either triple therapy (n = 907) or dual therapy (n = 894). The IRT improved precision of the estimated drug effect compared to MMRM, resulting in a sample size of at least 3.64 times larger for the MMRM analysis to achieve the IRT precision in the CFB estimate. CONCLUSION: This study shows the advantage of IRT over MMRM with a direct comparison of the same primary endpoint for the two analyses using the same observed clinical trial data, resulting in an increased confidence in Phase III. CI - (c) 2022. The Author(s). FAU - Llanos-Paez, Carolina AU - Llanos-Paez C AD - Department of Pharmacy, Uppsala University, BMC, Box 580, 751 23, Uppsala, Sweden. FAU - Ambery, Claire AU - Ambery C AD - Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline plc, London, UK. FAU - Yang, Shuying AU - Yang S AD - Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline plc, London, UK. FAU - Beerahee, Misba AU - Beerahee M AD - Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline plc, London, UK. FAU - Plan, Elodie L AU - Plan EL AD - Department of Pharmacy, Uppsala University, BMC, Box 580, 751 23, Uppsala, Sweden. FAU - Karlsson, Mats O AU - Karlsson MO AUID- ORCID: 0000-0003-1258-8297 AD - Department of Pharmacy, Uppsala University, BMC, Box 580, 751 23, Uppsala, Sweden. mats.karlsson@farmaci.uu.se. LA - eng GR - GSK funded this research in the form of a Research payment to Uppsala University/GSK/ GR - 2018-03317/Vetenskapsradet/ PT - Clinical Trial, Phase III PT - Journal Article PT - Randomized Controlled Trial DEP - 20220301 PL - United States TA - Pharm Res JT - Pharmaceutical research JID - 8406521 RN - 0 (Bronchodilator Agents) SB - IM MH - Administration, Inhalation MH - Bronchodilator Agents/therapeutic use MH - Humans MH - Patient Reported Outcome Measures MH - *Pulmonary Disease, Chronic Obstructive/drug therapy PMC - PMC9314306 OTO - NOTNLM OT - chronic obstructive pulmonary disease OT - item response theory OT - mixed model repeated measures OT - non-linear mixed effect model OT - patient-reported outcomes EDAT- 2022/03/03 06:00 MHDA- 2022/07/28 06:00 PMCR- 2022/03/01 CRDT- 2022/03/02 06:16 PHST- 2021/09/23 00:00 [received] PHST- 2022/02/09 00:00 [accepted] PHST- 2022/03/03 06:00 [pubmed] PHST- 2022/07/28 06:00 [medline] PHST- 2022/03/02 06:16 [entrez] PHST- 2022/03/01 00:00 [pmc-release] AID - 10.1007/s11095-022-03194-1 [pii] AID - 3194 [pii] AID - 10.1007/s11095-022-03194-1 [doi] PST - ppublish SO - Pharm Res. 2022 Aug;39(8):1779-1787. doi: 10.1007/s11095-022-03194-1. Epub 2022 Mar 1.