Literature DB >> 30043250

An item response theory based integrated model of headache, nausea, photophobia, and phonophobia in migraine patients.

Dongwoo Chae1,2, Kyungsoo Park3.   

Abstract

This study developed an integrated model of severity scores of migraine headache and the incidence of nausea, photophobia, and phonophobia to predict the natural time course of migraine symptoms, which are likely to occur by a common disease progression mechanism. Data were acquired from two phase 3 clinical trials conducted during the development of eletriptan. Only the placebo arm was used for analysis. A conventional proportional odds model was compared with an item response theory (IRT) based approach. Results suggested that the IRT based approach led to a better model fit, successfully revealing the difference in relief rates among different symptoms, which was the fastest in phonophobia and the slowest in headache. Simulation with the developed model suggested that using headache scores at 4 h post-dose attained greatest statistical power, yielding sample size of 100 per arm given drug effect of 40%, as compared to that of 200 per arm when 2 h post-dose scores were used as in the original eletriptan protocol. This work demonstrated the usefulness of an IRT based model as applied to analyzing multidimensional migraine symptoms and designing clinical trials. Our model can be similarly applied to analyzing other multiple endpoints sharing a common underlying mechanism.

Entities:  

Keywords:  Disease progression model; Item response theory; Migraine; Proportional odds model

Mesh:

Substances:

Year:  2018        PMID: 30043250     DOI: 10.1007/s10928-018-9602-0

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  25 in total

1.  Item Response Theory as an Efficient Tool to Describe a Heterogeneous Clinical Rating Scale in De Novo Idiopathic Parkinson's Disease Patients.

Authors:  Simon Buatois; Sylvie Retout; Nicolas Frey; Sebastian Ueckert
Journal:  Pharm Res       Date:  2017-07-10       Impact factor: 4.200

2.  Analysis of survival data by the proportional odds model.

Authors:  S Bennett
Journal:  Stat Med       Date:  1983 Apr-Jun       Impact factor: 2.373

Review 3.  Emerging migraine treatments and drug targets.

Authors:  Jes Olesen; Messoud Ashina
Journal:  Trends Pharmacol Sci       Date:  2011-04-02       Impact factor: 14.819

Review 4.  The global burden of headache: a documentation of headache prevalence and disability worldwide.

Authors:  Lj Stovner; K Hagen; R Jensen; Z Katsarava; Rb Lipton; Ai Scher; Tj Steiner; J-A Zwart
Journal:  Cephalalgia       Date:  2007-03       Impact factor: 6.292

5.  Use of item response theory and latent class analysis to link poly-substance use disorders with addiction severity, HIV risk, and quality of life among opioid-dependent patients in the Clinical Trials Network.

Authors:  Li-Tzy Wu; Walter Ling; Bruce Burchett; Dan G Blazer; Chongming Yang; Jeng-Jong Pan; Bryce B Reeve; George E Woody
Journal:  Drug Alcohol Depend       Date:  2011-04-17       Impact factor: 4.492

6.  The feasibility of applying item response theory to measures of migraine impact: a re-analysis of three clinical studies.

Authors:  Jakob B Bjorner; Mark Kosinski; John E Ware
Journal:  Qual Life Res       Date:  2003-12       Impact factor: 4.147

7.  An item response theory evaluation of three depression assessment instruments in a clinical sample.

Authors:  Mats Adler; Jerker Hetta; Göran Isacsson; Ulf Brodin
Journal:  BMC Med Res Methodol       Date:  2012-06-21       Impact factor: 4.615

8.  Improved utilization of ADAS-cog assessment data through item response theory based pharmacometric modeling.

Authors:  Sebastian Ueckert; Elodie L Plan; Kaori Ito; Mats O Karlsson; Brian Corrigan; Andrew C Hooker
Journal:  Pharm Res       Date:  2014-03-05       Impact factor: 4.200

9.  Modeling Composite Assessment Data Using Item Response Theory.

Authors:  Sebastian Ueckert
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-03-01

10.  A Longitudinal Item Response Theory Model to Characterize Cognition Over Time in Elderly Subjects.

Authors:  Marc Vandemeulebroecke; Björn Bornkamp; Tillmann Krahnke; Johanna Mielke; Andreas Monsch; Peter Quarg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-08-29
View more
  4 in total

1.  Application of Item Response Theory to Model Disease Progression and Agomelatine Effect in Patients with Major Depressive Disorder.

Authors:  Marc Cerou; Sophie Peigné; Emmanuelle Comets; Marylore Chenel
Journal:  AAPS J       Date:  2019-11-12       Impact factor: 4.009

2.  Integrated Item Response Theory Modeling of Multiple Patient-Reported Outcomes Assessing Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia.

Authors:  Yassine Kamal Lyauk; Trine Meldgaard Lund; Andrew C Hooker; Mats O Karlsson; Daniël M Jonker
Journal:  AAPS J       Date:  2020-07-29       Impact factor: 4.009

3.  A Novel Method for Analysing Frequent Observations from Questionnaires in Order to Model Patient-Reported Outcomes: Application to EXACT® Daily Diary Data from COPD Patients.

Authors:  Eva Germovsek; Claire Ambery; Shuying Yang; Misba Beerahee; Mats O Karlsson; Elodie L Plan
Journal:  AAPS J       Date:  2019-04-26       Impact factor: 4.009

4.  Predicting the longitudinal changes of levodopa dose requirements in Parkinson's disease using item response theory assessment of real-world Unified Parkinson's Disease Rating Scale.

Authors:  Dongwoo Chae; Su Jin Chung; Phil Hyu Lee; Kyungsoo Park
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-05-03
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.