MemScreen: A smartphone application for detection of mild cognitive impairment: A validation study Smartphone App for MCI Detection

被引:0
作者
Dumurgier, Julien [1 ,2 ]
Paquet, Claire [1 ,3 ]
Hugon, Jacques [1 ,3 ]
Planche, Vincent [4 ]
Gaubert, Sinead [1 ]
Epelbaum, Stephane [5 ]
Bombois, Stephanie [5 ]
Teichmann, Marc [5 ]
Levy, Richard [5 ]
Baudouin, Estelle [6 ]
Vrillon, Agathe [1 ,3 ]
Hourregue, Claire [1 ]
Cognat, Emmanuel [1 ,3 ]
Sabia, Severine [2 ,7 ]
Singh-Manoux, Archana [2 ,7 ]
机构
[1] Univ Paris Cite, GHU APHP Nord Lariboisiere Fernand Widal Hosp, Cognit Neurol Ctr, 200 Rue Faubourg St Denis, F-75010 Paris, France
[2] Univ Paris Cite, Ctr Res Epidemiol & Stat, Team Epidemiol Ageing & Neurodegenerat Dis, Inserm U1153, 10 Ave Verdun, F-75010 Paris, France
[3] Univ Paris Cite, INSERM U1144, Therapeut Optimizat Neuropsychopharmacol, 2 Rue Ambroise Pare, F-7510 Paris, France
[4] Bordeaux Univ, Inst Malad Neurodegenerat, CNRS, UMR 5293, 146 Rue Leo Saignat, F-33000 Bordeaux, France
[5] Sorbonne Univ, Grp Hospitalier Pitie Salpetriere, AP HP, Inst Memory & Alzheimers Dis, 47 Blvd Hop, F-75010 Paris, France
[6] Grp Hosp Portes Provence, Route Sauzet, F-26200 Montelimar, France
[7] UCL, Fac Brain Sci, 38-50 Bidborough St, London WC1H 9BT, England
来源
JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE | 2025年 / 12卷 / 03期
关键词
Smartphone application; Cognitive screening; Mild cognitive impairment; MemScreen; Validation study; Digital health tool; ALZHEIMERS-DISEASE; BIOMARKERS; DIAGNOSIS;
D O I
10.1016/j.tjpad.2025.100077
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and objectives: Primary care is often the first point of contact for patients with cognitive complaints, making initial cognitive screening an essential step to avoid delays in diagnosing Alzheimer's disease (AD) at an early stage. We developed MemScreen, a self-administered smartphone application that assesses overall cognition and verbal memory, and evaluated its ability to detect mild cognitive impairment (MCI) in both general and clinical populations. Methods: We conducted two validation cohort studies: (1) UK-based Whitehall II cohort study (13th wave, 2018-2022) involving a general population (MCI defined by poor performance on a global cognitive score), and (2) five French memory clinics involving patients without dementia (amnestic MCI defined by the Free and Cued Selective Reminding Test). MemScreen, MMSE, and TMT-A effectiveness was assessed using Area Under the Curve (AUC) values from unadjusted and adjusted logistic regression models. Results: In Whitehall II (n = 2118, mean age 75.9 years, 23.9 % women, 14.5 % MCI), median MemScreen completion time was 4 min 18 s. MemScreen had the highest AUC (0.87; 95 % CI: 0.82-0.89) for distinguishing MCI, outperforming MMSE (AUC = 0.79; 0.76-0.82; p = 0.018) and TMT-A (AUC = 0.77; 0.74-0.80; p = 0.023). MemScreen sensitivity and specificity were 78.6 % and 78.7 %, respectively. In memory clinics (n = 303, mean age 70.5 years, 53 % women, 46.9 % amnestic MCI), median completion time was 5 min 17 s. MemScreen showed superior performance (AUC = 0.87; 0.83-0.91) compared to MMSE (AUC = 0.72; 0.67-0.78; p < 0.001) and TMT-A (AUC = 0.63; 0.56-0.69; p < 0.001), with 93.0 % sensitivity and 54.0 % specificity for amnestic MCI. Discussion: MemScreen outperformed traditional tests in identifying MCI in both general and clinical populations. Its self-administration and short completion time suggest potential as an effective screening tool to optimize memory clinic referrals for AD diagnosis and treatment.
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