Evidence map›Paper›PMID 39849575›Full record

ArticleHealth and quality of life outcomes2025

Estimating health state utilities for aromatic L-amino acid decarboxylase deficiency (AADCd) in the United States.

Berrin Monteleone, Katie Forster, Gin Nie Chua, Rongrong Zhang, Andrew Lloyd, Paul Castellano, Ioannis Tomazos

Abstract read
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Article in Health and quality of life outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Berrin MonteleoneDepartment of Pediatrics, NYU Long Island School of Medicine, Mineola, USA.
Katie ForsterAcaster Lloyd Consulting, London, UK.
Gin Nie ChuaAcaster Lloyd Consulting, London, UK.
Rongrong ZhangPTC Therapeutics Sweden AB, Askim, Sweden.
Andrew LloydAcaster Lloyd Consulting, London, UK.
Paul CastellanoPTC Therapeutics Inc, 500 Warren Corporate Center Drive, Warren, N.J, 07059, USA.
Ioannis TomazosPTC Therapeutics Inc, 500 Warren Corporate Center Drive, Warren, N.J, 07059, USA. ytomazos@ptcbio.com.

Funding

PTC Therapeutics Inc n/a
6 · The paper itself

Abstract

backgroundAADCd is a rare neurometabolic disorder presenting in infancy. Children with AADCd have motor dysfunction and development delays that result in the need for lifelong care; quality of life is greatly impacted. Current characterizations of health-related quality of life and associated health state utilities (HSUs) may be underestimated in AADCd. Accurate characterization of AADCd burden is important when evaluating the benefits of treatment, especially the improvements observed with the recently approved disease-modifying therapy eladocagene exuparvovec. Time-trade-off (TTO) vignette methods may be used to elicit HSUs in AADCd for assessing the value of new treatments. This study aimed to first update previously published health state vignettes, then estimate AADCd HSUs in the United States (US).

methodsExisting vignettes for five AADCd health states were updated based on the review of published literature and clinician/caregiver input. Health states included: "bedridden/no motor function," "head control," "sitting unassisted," "standing with support," "walking with assistance." Online composite TTO interviews were conducted 1:1 with adults from the US general public. Participants ranked health states in order of preference using a visual analog scale, then were presented with health state vignettes to elicit utilities using TTO. Mean TTO scores were calculated for each health state, and regression models were used to estimate disutility associated with use of feeding tube.

resultsFollowing revision of the vignettes, 120 participants completed the TTO task (mean age: 47 years; 50% female; 70% White); characteristics were not significantly different from US population norms in terms of age, sex, race or ethnicity. Six participants who appeared to misunderstand the exercise were excluded. Mean (SD) HSUs were: -0.258 (0.534) for bedridden state, -0.155 (0.569) for head control, 0.452 (0.523) for sitting unassisted, 0.775 (0.242) for standing with support, and 0.796 (0.235) for walking with assistance. The need for a feeding tube was associated with a disutility of 0.07.

conclusionsThis study implemented TTO methods to estimate utilities for five health states which reflect the burden and impact of AADCd. The range in values from the most to least severe health state suggests that there is potential for effective treatments to substantially improve quality of life in these patients.

Indexed as

Health StatusQuality of LifeAdolescentAdultChildFemaleHumansMaleMiddle AgedUnited StatesAADCdHRQoLTTOUtilitiesVignettes

Identifiers

PMID39849575
PMCPMC11756132

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.