ArticleClinical interventions in aging2020
Hindi Version of Addenbrooke's Cognitive Examination III: Distinguishing Cognitive Impairment Among Older Indians at the Lower Cut-Offs.
Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 19 citations in OpenAlex.
- Trial
- Efficacy ofJMIR research protocols · 2026Article
- A case-control study on QEEG as a marker of cognition in depression.Indian journal of psychiatry · 2025Article
- Study of caregiver stress among carers of patients of cognitive impairment: An observational study from memory clinic of AIIMS, India.Journal of family medicine and primary care · 2025Article
- Circulating small extracellular vesicles in Alzheimer's disease: a case-control study of neuro-inflammation and synaptic dysfunction.BMC medicine · 2024Article
- Prevalence and patterns of vitamin D deficiency and its role in cognitive functioning in a cohort from South India.Scientific reports · 2024Article
- Characteristics of hypertension and its impact on cognitive functions in older adults: a cross-sectional study.Frontiers in dementia · 2024Article
- Psychometric properties of Addenbrooke's Cognitive Examination III (ACE-III): An item response theory approach.PloS one · 2021Article
- Early Diagnosis of Cognitive Impairment in the Ageing Population: Determinants and Barriers.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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6 authors at 1 institution in 1 country.
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Abstract
backgroundScreening and diagnostic tests provide an objective measure of cognitive performance and also aid in distinguishing mild cognitive impairment (MCI) from major neurocognitive disorder (MNCD). Further, when such tests are culturally and educationally unbiased, it strengthens their diagnostic utility. This study aimed to validate the Hindi version of Addenbrooke's Cognitive Examination III (ACE-III) in Indian older adults and compare its validity with the Hindi Mini-Mental State Examination (HMSE).
methodsA sample of 412 consenting older adults visiting a memory clinic was recruited into the study. They were categorized into three groups: healthy controls (n=222), MCI (n=70), and MNCD (n=120). The complete clinical protocol was followed. Hindi ACE-III and HMSE were administered and were statistically analyzed.
resultsThe optimal cut-off values to detect MCI and MNCD with ACE-III were 71 and 62 (AUC: 0.849 and 0.884), respectively, which were slightly higher than with HMSE (AUC: 0.822, 0.861). Education- and age-stratified cut-offs were also computed.
conclusionHindi ACE-III has good discriminating power at lower cut-offs than the standard scores in differentiating between MCI and MNCD.
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