Evidence map›Paper›PMID 40486075›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Estimating the optimal cutoff for the IGT-AD Distress subscale adapted for amyloid PET results disclosure.

Dianxu Ren, Kim Jeong Eun, Joshua D Grill, Jennifer H Lingler

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). 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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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Dianxu RenSchool of Nursing, Health & Community Systems University of Pittsburgh Pittsburgh Pennsylvania USA.
Kim Jeong EunSchool of Nursing, Health & Community Systems University of Pittsburgh Pittsburgh Pennsylvania USA.
Joshua D GrillSchool of Medicine, Psychiatry & Human Behavior, Charlie Dunlop School of Biological Sciences, Neurobiology & Behavior University of California Irvine Irvine California USA.
Jennifer H LinglerSchool of Nursing, Health & Community Systems University of Pittsburgh Pittsburgh Pennsylvania USA.

Funding

Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI C. Elizabeth Shaaban · 2020 to 2026
$29.4M
Patient and Family Member Reactions to Biomarker-Informed ADRD DiagnosesRF1AG080591 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GRILL, JOSHUA, LINGLER, JENNIFER HAGERTY · 2023 to 2023
$2.1M
Return of Amyloid Imaging Research Results in MCIR01AG046906 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LINGLER, JENNIFER HAGERTY · 2014 to 2017
$1.6M
Patient and Family Member Reactions to Biomarker-Informed ADRD DiagnosesR01AG080591 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Joshua Grill, JENNIFER Hagerty LINGLER · 2026 to 2026
$1.0M
NIA NIH HHS P30 AG066468NIA NIH HHS R01 AG046906NIA NIH HHS R01 AG080591NIA NIH HHS RF1 AG080591
6 · The paper itself

Abstract

introductionResearch on diagnostic and biomarker disclosure has significantly increased, particularly in the field of Alzheimer's disease (AD). The psychological impact of learning amyloid positron emission tomography (PET) results has been frequently assessed using the Impact of Genetic Testing for Alzheimer's Disease (IGT-AD) instrument. Establishing an optimal cutoff score for this screening tool is essential for efficiently identifying individuals who may require psychological support after amyloid PET disclosure. In this study, we aimed to determine the optimal distress cutoff for the adapted IGT-AD instrument after amyloid PET result disclosure in cognitively symptomatic older adults.

methodsWe adapted the IGT-AD instrument by replacing reference to genetic testing with reference to amyloid PET testing. A total of 98 participants with either mild cognitive impairment (MCI) or dementia were assessed for psychological impact using this adapted instrument and the Impact of Event Scale (IES; cutoff = 26) as a gold standard. Receiver operating characteristic analysis determined the optimal distress cutoff, with the Youden index maximizing sensitivity and specificity. The area under the curve (AUC) was calculated to evaluate the predictive accuracy of the IGT-AD.

resultsThe mean age of participants was 72.6 years, 41.8% were male, 77.6% were White, 16.3% were Black, and 15.3% were of Hispanic ethnicity. Most (57.2%) held bachelor or post-bachelor degrees, and 73.5% were married or cohabiting. The optimal cutoff point for the modified IGT-AD Distress subscale was determined to be 15, with a sensitivity of 100% and specificity of 70.1%. The AUC for distress was 0.89 (95% confidence interval: 0.82-0.95), indicating good predictive power. DISCUSSION: A distress score ≥ 15 on the adapted IGT-AD appears to be a suitable cutoff for detecting significant psychological distress in cognitively symptomatic individuals learning their amyloid PET result. This cutoff has potential clinical and research applications for screening and early intervention. Highlights: The Impact of Genetic Testing for Alzheimer's Disease (IGT-AD) instrument is widely used to assess the psychological impact of Alzheimer's disease biomarker disclosure.Establishing a cutoff score is essential for identifying individuals needing psychological support.Receiver operating characteristic analysis determined the optimal IGT-AD distress cutoff, using Impact of Event Scale (cutoff = 26) as the gold standard.The optimal cutoff for moderate to severe distress on the adapted IGT-AD is 15.Larger studies are needed to validate this cutoff.

Indexed as

Alzheimer's diseaseamyloid positron emission tomography disclosureoptimal cutoffpsychological distress

Identifiers

PMID40486075
PMCPMC12144969

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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.