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Reliability and Validity of Smartphone Cognitive Testing for Frontotemporal Lobar Degeneration.
Staffaroni, Adam M; Clark, Annie L; Taylor, Jack C; Heuer, Hilary W; Sanderson-Cimino, Mark; Wise, Amy B; Dhanam, Sreya; Cobigo, Yann; Wolf, Amy; Manoochehri, Masood; Forsberg, Leah; Mester, Carly; Rankin, Katherine P; Appleby, Brian S; Bayram, Ece; Bozoki, Andrea; Clark, David; Darby, R Ryan; Domoto-Reilly, Kimiko; Fields, Julie A; Galasko, Douglas; Geschwind, Daniel; Ghoshal, Nupur; Graff-Radford, Neill; Grossman, Murray; Hsiung, Ging-Yuek; Huey, Edward D; Jones, David T; Lapid, Maria I; Litvan, Irene; Masdeu, Joseph C; Massimo, Lauren; Mendez, Mario F; Miyagawa, Toji; Pascual, Belen; Pressman, Peter; Ramanan, Vijay K; Ramos, Eliana Marisa; Rascovsky, Katya; Roberson, Erik D; Tartaglia, M Carmela; Wong, Bonnie; Miller, Bruce L; Kornak, John; Kremers, Walter; Hassenstab, Jason; Kramer, Joel H; Boeve, Bradley F; Rosen, Howard J; Boxer, Adam L.
Afiliação
  • Staffaroni AM; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Clark AL; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Taylor JC; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Heuer HW; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Sanderson-Cimino M; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Wise AB; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Dhanam S; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Cobigo Y; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Wolf A; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Manoochehri M; Department of Neurology, Columbia University, New York, New York.
  • Forsberg L; Department of Neurology, Mayo Clinic, Rochester, Minnesota.
  • Mester C; Department of Quantitative Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
  • Rankin KP; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Appleby BS; Department of Neurology, Case Western Reserve University, Cleveland, Ohio.
  • Bayram E; Department of Neurosciences, University of California, San Diego, La Jolla.
  • Bozoki A; Department of Radiology, University of North Carolina, Chapel Hill.
  • Clark D; Department of Neurology, Indiana University, Indianapolis.
  • Darby RR; Department of Neurology, Vanderbilt University, Nashville, Tennessee.
  • Domoto-Reilly K; Department of Neurology, University of Washington, Seattle.
  • Fields JA; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
  • Galasko D; Department of Neurosciences, University of California, San Diego, La Jolla.
  • Geschwind D; Department of Neurology, Institute for Precision Health, University of California, Los Angeles.
  • Ghoshal N; Department of Neurology, Knight Alzheimer Disease Research Center, Washington University, Saint Louis, Missouri.
  • Graff-Radford N; Department of Psychiatry, Knight Alzheimer Disease Research Center, Washington University, Saint Louis, Missouri.
  • Grossman M; Department of Neuroscience, Mayo Clinic, Jacksonville, Florida.
  • Hsiung GY; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.
  • Huey ED; Division of Neurology, University of British Columbia, Musqueam, Squamish & Tsleil-Waututh Traditional Territory, Vancouver, Canada.
  • Jones DT; Department of Neurology, Columbia University, New York, New York.
  • Lapid MI; Department of Quantitative Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
  • Litvan I; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
  • Masdeu JC; Department of Neurosciences, University of California, San Diego, La Jolla.
  • Massimo L; Department of Neurology, Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston Methodist, Houston, Texas.
  • Mendez MF; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.
  • Miyagawa T; Department of Neurology, UCLA (University of California, Los Angeles).
  • Pascual B; Department of Neurology, Mayo Clinic, Rochester, Minnesota.
  • Pressman P; Department of Neurology, Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston Methodist, Houston, Texas.
  • Ramanan VK; Department of Neurology, University of Colorado, Aurora.
  • Ramos EM; Department of Neurology, Mayo Clinic, Rochester, Minnesota.
  • Rascovsky K; Department of Neurology, David Geffen School of Medicine, UCLA.
  • Roberson ED; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.
  • Tartaglia MC; Department of Neurology, University of Alabama, Birmingham.
  • Wong B; Tanz Centre for Research in Neurodegenerative Diseases, Division of Neurology, University of Toronto, Toronto, Ontario, Canada.
  • Miller BL; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston.
  • Kornak J; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Kremers W; Department of Epidemiology and Biostatistics, University of California, San Francisco.
  • Hassenstab J; Department of Quantitative Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
  • Kramer JH; Department of Neurology, Knight Alzheimer Disease Research Center, Washington University, Saint Louis, Missouri.
  • Boeve BF; Department of Psychological & Brain Sciences, Washington University, Saint Louis, Missouri.
  • Rosen HJ; Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
  • Boxer AL; Department of Neurology, Mayo Clinic, Rochester, Minnesota.
JAMA Netw Open ; 7(4): e244266, 2024 Apr 01.
Article em En | MEDLINE | ID: mdl-38558141
ABSTRACT
Importance Frontotemporal lobar degeneration (FTLD) is relatively rare, behavioral and motor symptoms increase travel burden, and standard neuropsychological tests are not sensitive to early-stage disease. Remote smartphone-based cognitive assessments could mitigate these barriers to trial recruitment and success, but no such tools are validated for FTLD.

Objective:

To evaluate the reliability and validity of smartphone-based cognitive measures for remote FTLD evaluations. Design, Setting, and

Participants:

In this cohort study conducted from January 10, 2019, to July 31, 2023, controls and participants with FTLD performed smartphone application (app)-based executive functioning tasks and an associative memory task 3 times over 2 weeks. Observational research participants were enrolled through 18 centers of a North American FTLD research consortium (ALLFTD) and were asked to complete the tests remotely using their own smartphones. Of 1163 eligible individuals (enrolled in parent studies), 360 were enrolled in the present study; 364 refused and 439 were excluded. Participants were divided into discovery (n = 258) and validation (n = 102) cohorts. Among 329 participants with data available on disease stage, 195 were asymptomatic or had preclinical FTLD (59.3%), 66 had prodromal FTLD (20.1%), and 68 had symptomatic FTLD (20.7%) with a range of clinical syndromes. Exposure Participants completed standard in-clinic measures and remotely administered ALLFTD mobile app (app) smartphone tests. Main Outcomes and

Measures:

Internal consistency, test-retest reliability, association of smartphone tests with criterion standard clinical measures, and diagnostic accuracy.

Results:

In the 360 participants (mean [SD] age, 54.0 [15.4] years; 209 [58.1%] women), smartphone tests showed moderate-to-excellent reliability (intraclass correlation coefficients, 0.77-0.95). Validity was supported by association of smartphones tests with disease severity (r range, 0.38-0.59), criterion-standard neuropsychological tests (r range, 0.40-0.66), and brain volume (standardized ß range, 0.34-0.50). Smartphone tests accurately differentiated individuals with dementia from controls (area under the curve [AUC], 0.93 [95% CI, 0.90-0.96]) and were more sensitive to early symptoms (AUC, 0.82 [95% CI, 0.76-0.88]) than the Montreal Cognitive Assessment (AUC, 0.68 [95% CI, 0.59-0.78]) (z of comparison, -2.49 [95% CI, -0.19 to -0.02]; P = .01). Reliability and validity findings were highly similar in the discovery and validation cohorts. Preclinical participants who carried pathogenic variants performed significantly worse than noncarrier family controls on 3 app tasks (eg, 2-back ß = -0.49 [95% CI, -0.72 to -0.25]; P < .001) but not a composite of traditional neuropsychological measures (ß = -0.14 [95% CI, -0.42 to 0.14]; P = .32). Conclusions and Relevance The findings of this cohort study suggest that smartphones could offer a feasible, reliable, valid, and scalable solution for remote evaluations of FTLD and may improve early detection. Smartphone assessments should be considered as a complementary approach to traditional in-person trial designs. Future research should validate these results in diverse populations and evaluate the utility of these tests for longitudinal monitoring.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Degeneração Lobar Frontotemporal / Demência Frontotemporal Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Degeneração Lobar Frontotemporal / Demência Frontotemporal Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article