Translation and psychometric evaluation of a Persian version of the functional assessment staging scale (I-FAST) in older patients with mild cognitive impairment and Alzheimer's disease in Iran.
Activities of daily living
Alzheimer’s disease
Dementia
FAST
Illiteracy
Low and middle-income countries
Older adult
Sensitinity
Specificity
Validation
Journal
Acta neurologica Belgica
ISSN: 2240-2993
Titre abrégé: Acta Neurol Belg
Pays: Italy
ID NLM: 0247035
Informations de publication
Date de publication:
Aug 2022
Aug 2022
Historique:
received:
22
12
2020
accepted:
23
04
2021
pubmed:
22
6
2021
medline:
23
7
2022
entrez:
21
6
2021
Statut:
ppublish
Résumé
The Functional Assessment Staging procedure is a clinical instrument which has been designed for staging Alzheimer's disease (AD) from the stage of no deficits to the pre-clinical stage of subjective deficits, to Mild Cognitive Impairment (MCI), to the stages of AD. This study examined the psychometric properties and the validity of the Persian version of the FAST (I-FAST) in an elderly outpatient population in Iran. We conducted a validation study of the FAST scale at the two referral centers for dementia and cognitive disorders in Tehran, Iran. The participants consisted of subjects with normal cognition, MCI and AD. The scores of the Persian version of the Mini-Mental State Examination (MMSE) and the Persian version of the I-FAST were examined. Demographic variables were also collected. The diagnosis of MCI was made based on Petersen criteria and AD based on the McKhann et al. criteria by a neurologist with expertise in dementia. Data was collected from 219 participants. A total of 54.7% of the sample was female and their mean age was 72.54 ± 8.88 years. The area under the ROC curve was calculated 0.952 and 0.982. The I-FAST had a sensitivity of 92.2% and specificity of 98.0% for the differentiation of normal cognition from MCI. The sensitivity of the I-FAST for discrimination of subjects with AD from MCI was 99.0% and the specificity was 93.7%. The I-FAST showed good psychometric characteristics in the discrimination of MCI from both normal elderly and patients with Alzheimer's. The I-FAST is also a sensitive and accurate instrument for staging persons at risk for MCI and Alzheimer's, relatively free of the confounding effects of education, culture and language in comparison with the MMSE.
Identifiants
pubmed: 34152582
doi: 10.1007/s13760-021-01686-2
pii: 10.1007/s13760-021-01686-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
987-996Subventions
Organisme : NIA NIH HHS
ID : P30 AG08051
Pays : United States
Organisme : U.S. Department of Health and Human Services
ID : AG03051
Organisme : NIA NIH HHS
ID : P30 AG08051
Pays : United States
Informations de copyright
© 2021. Belgian Neurological Society.
Références
Prince M, Comas-Herrera A, Knapp M, Guerchet M, Karagiannidou M (2016) World Alzheimer report 2016: improving healthcare for people living with dementia: coverage, quality and costs now and in the future. https://www.alz.co.uk/research/WorldAlzheimerReport2016.pdf .
Patterson C (2018) World Alzheimer report 2018: the state of the art of dementia research: new frontiers. Alzheimer’s Disease International (ADI), London UK
Feigin VL, Abajobir AA, Abate KH, Abd-Allah F, Abdulle AM, Abera SF, Abyu GY, Ahmed MB, Aichour AN, Aichour I (2017) Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the global burden of disease study 2015. The Lancet Neurology 16(11):877–897
doi: 10.1016/S1474-4422(17)30299-5
McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR Jr, Kawas CH, Klunk WE, Koroshetz WJ, Manly JJ, Mayeux R (2011) The diagnosis of dementia due to Alzheimer’s disease: recommendations from the national institute on Aging-Alzheimer’s association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7(3):263–269
doi: 10.1016/j.jalz.2011.03.005
Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, Gamst A, Holtzman DM, Jagust WJ, Petersen RC (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the national institute on Aging-Alzheimer’s association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7(3):270–279
doi: 10.1016/j.jalz.2011.03.008
Mosconi L, Brys M, Glodzik-Sobanska L, De Santi S, Rusinek H, de Leon MJ (2007) Early detection of Alzheimer’s disease using neuroimaging. Exp Gerontol 42(1–2):129–138
doi: 10.1016/j.exger.2006.05.016
Schelterns P, Feldman H (2003) Treatment of Alzheimer’s disease; current status and new perspectives. The Lancet Neurology 2(9):539–547
doi: 10.1016/S1474-4422(03)00502-7
Sclan SG, Reisberg B (1992) Functional assessment staging (FAST) in Alzheimer’s disease: reliability, validity, and ordinality. Int Psychogeriatr 4(3):55–69
doi: 10.1017/S1041610292001157
Reisberg B (2007) Global measures: utility in defining and measuring treatment response in dementia. Int Psychogeriatr 19(3):421–456
doi: 10.1017/S1041610207005261
Bertolucci PH, Brucki S, Campacci SR, Juliano Y (1994) O mini-exame do estado mental em uma população geral: impacto da escolaridade. Arq Neuropsiquiatr 52(1):01–07
doi: 10.1590/S0004-282X1994000100001
Reisberg B (1988) Functional assessment staging (FAST). Psychopharmacol Bull 24(4):653–659
pubmed: 3249767
Na H-R, Kim S-Y, Chang Y-H, Park M-H, Cho S-T, Han I-W, Kim T-Y, Hwang S-A (2010) Functional assessment staging (FAST) in Korean patients with Alzheimer’s disease. J Alzheimers Dis 22(1):151–158
doi: 10.3233/JAD-2010-100072
Brislin RW (1970) Back-translation for cross-cultural research. J Cross Cult Psychol 1(3):185–216
doi: 10.1177/135910457000100301
Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E (1999) Mild cognitive impairment: clinical characterization and outcome. Arch Neurol 56(3):303–308
doi: 10.1001/archneur.56.3.303
Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12(3):189–198
doi: 10.1016/0022-3956(75)90026-6
Seyedian M, Falah M, Nouroozian M, Nejat S, Delavar A, GHaemzadeh HA (2008) Validity of the farsi version of mini-mental state examination. J Med Counc IRI 25(4):408–414
Ahmadizadeh M, Ebadi A, Sirati Nir M, Tavallaii A, Sharif Nia H, Lotfi M (2019) Development and psychometric evaluation of the treatment adherence questionnaire for patients with combat post-traumatic stress disorder. Patient Prefer Adherence 13:419
doi: 10.2147/PPA.S175353
Polit DF, Beck CT (2008) Nursing research: generating and assessing evidence for nursing practice. Lippincott Williams & Wilkins
Houser J (2016) Nursing research: reading, using and creating evidence. Jones & Bartlett Learning
Lotfi M-S, Tagharrobi Z, Sharifi K, Abolhasani J (2016) Psychometric evaluation of the cognitive state test (COST) in a sample of Iranian elderly people. Iran Red Crescent Med J 18(5):e23786. 1-8
Lotfi MS, Tagharrobi Z, Sharifi K, Abolhasani J (2015) Diagnostic accuracy of the cognitive state test in the detection of dementia among Iranian older adults. Res Gerontol Nurs 8(6):293–299
doi: 10.3928/19404921-20150521-01
Hancock P, Larner A (2009) Diagnostic utility of the informant questionnaire on cognitive decline in the elderly (IQCODE) and its combination with the addenbrooke’s cognitive examination-revised (ACE-R) in a memory clinic-based population. Int Psychogeriatr 21(3):526
doi: 10.1017/S1041610209008941
Storey JE, Rowland JT, Basic D, Conforti DA (2002) Accuracy of the clock drawing test for detecting dementia in a multicultural sample of elderly Australian patients. Int Psychogeriatr 14(3):259
doi: 10.1017/S1041610202008463
Lalkhen AG, McCluskey A (2008) Clinical tests: sensitivity and specificity. Contin Educt Anaesth Crit Care Pain 8(6):221–223
doi: 10.1093/bjaceaccp/mkn041
Foroughan M, Jafari Z, Shirin Bayan P, Ghaem Magham Farahani Z, Rahgozar M (2008) Validation of mini-mental state examination (MMSE) in the elderly population of Tehran. Adv Cogn Sci 10(2):29–37
Salari S, Shaeiri MR, Asghari-Moghaddam MA (2014) Psychometric characteristics of the Rowland universal dementia assessment scale (RUDAS) in a sample of Iranian elderly. Iran J Psychiatr Clini Psychol 20(1):74–84
Noroozian M, Poormand Z, Farzad VA, Hadjati G, Baghdasariyans A (2013) Evaluation of psychometric aspects of cleveland scale of activity daily living in the diagnosis of dementia in iran. Iran J Public Health 42(4):417
pubmed: 23785682
pmcid: 3684729
Parikh R, Parikh S, Arun E, Thomas R (2009) Likelihood ratios: clinical application in day-to-day practice. Indian J Ophthalmol 57(3):217
doi: 10.4103/0301-4738.49397
Cleland J, Koppenhaver S, Su J (2015) Netters orthopaedic clinical examination: an evidence-based approach. Elsevier Health Sciences
Glas AS, Lijmer JG, Prins MH, Bonsel GJ, Bossuyt PM (2003) The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol 56(11):1129–1135
doi: 10.1016/S0895-4356(03)00177-X
Ahmadizadeh MJ, Ebadi A (2019) Development and psychometric evaluation of the treatment adherence questionnaire for patients with combat post-traumatic stress disorder. Patient Prefer Adherence 13:419
doi: 10.2147/PPA.S175353