Do informant-reported subjective cognitive complaints predict progression to mild cognitive impairment and dementia better than self-reported complaints in old adults? A meta-analytical study

Background: Subjective cognitive complaints (SCCs) are considered a risk factor for objective cognitive decline and conversion to dementia. The aim of this study was to determine whether self-reported or informant-reported SCCs best predict progression to mild cognitive impairment (MCI) and/or dementia. Methods: We reviewed prospective longitudinal studies of Cognitively Unimpaired (CU) older adults with self-reported and informant-reported SCCs at baseline, assessed by questions or questionnaires that considered the transition to MCI and/or dementia. A random-effects meta-analysis was performed to obtain pooled estimates and 95% CIs. Results: Both self-reported and informant-reported SCCs are associated with an elevated risk of transition from CU to MCI and/or dementia. The association appears stronger and more robust for informant-reported data [1.38, with a 95% CI of 1.16 –1.64, p < 0.001] than for self-reported data [1.27 (95% CI 1.06 – 1.534, p = 0.011]. Conclusions Our results suggest that corroborated information from one informant could provide important details for distinguishing between normal aging and clinical statesThis work was supported though FEDER founds by the Spanish National Research Agency (Spanish 'Ministry of Science, Innovation and Universities) (Project Ref. PSI2017-89389-C2-1-R), FEDER founds (‘A way to make Europe’) by the Spanish AEI (Doi: 10.13039/501100011033; Refs. PID2020-114521RB-C21 and PSI2017-89389-C2-1-R) and by the Galician Government (Consellería de Cultura, Educación e Ordenación Universitaria; axudas para a consolidación e estruturación de unidades de investigación competitivas do Sistema Universitario de Galicia; GI-1807-USC: Ref. ED431C 2021/04)S

A narrative video game for adults with subjective and objective cognitive impairment. Design and preliminary results on user-interaction and efficacy

The design of a narrative video game for cognitive training of memory and executive functions in older adults with subjective and objective cognitive impairment is reported along with preliminary results on preferences (Study 1), user interaction experience (Study 2), and efficacy of the game (Study 3). A study of aesthetic preferences in backgrounds and avatars was implemented in 13 older adults, who were asked for their opinion on the acceptability of the plot. After completion of the design, a user interaction study was conducted in a sample of 19 older adults. In addition, a Matched Paired Experimental Design (MPED) was implemented as a preliminary test of the efficacy of the narrative video game in a sample of 22 participants with Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI). Preferences for free violence content in videogames was supported in our sample of low-frequency adult gamers and acceptability of the plot was high. The video game was rated favourably by the older adults in terms of user preferences and acceptability. The results of the preliminary MPED study suggest that the video game could be a useful tool for cognitive training in SCD and MCI older adults.This work was financially supported through FEDER founds (‘A way to make Europe’) by the Spanish AEI (Doi: 10.13039/501100011033; Refs. PID2020-114521RB-C21 and PSI2017-89389-C2-1-R) and by the Galician Government (Consellería de Cultura, Educación e Ordenación Universitaria; axudas para a consolidación e estruturación de unidades de investigación competitivas do Sistema Universitario de Galicia; GI-1807-USC: Ref. ED431C 2021/04).S

Psychological and functional impacts associated with restrictions in long-term care facilities (LTCF) due to the COVID-19 pandemic: A multicentre study

This is an Accepted Manuscript of an article published by Taylor & Francis in Aging and Mental Health on 2022-12-20, available at: https://doi.org/10.1080/13607863.2022.2158306Objectives: To analyze the impacts of the restrictions implemented in LTCF during the COVID-19 pandemic on the psychological and functional status of older adults. Design: A retrospective multicentre study. We hypothesize that the negative effects of the restrictions will lead to a higher rate of decline between the measures taken immediately before and after the lockdown than between the two measures taken before the lockdown. Setting and participants: 365 participants recruited in four Spanish LTCFs in Galicia and Valencia. Methods: Impacts of restrictions on cognitive (MMSE), affective (GDS) and functional status (Barthel index, Tinetti) were analyzed by Linear Mixed Models with random intercepts, random slopes, and personal and contextual factors as covariates. Results: Social measures covaried significantly with the cognitive and functional status but did not predict longitudinal change. MMSE, Barthel index and Tinetti scores decreased significantly across pre- and post-lockdown measurement times, but only the Tinetti scores showed a specific impact of the restrictions. Conclusions and Implications: Only performance-based functional measures showed the real impact of restrictions. The findings highlight the importance of having data from several pre-lockdown measurements to enable identification of changes that can be causally attributed to the restrictions. The findings also support the resilience of older adults in mitigating the effect of the restrictions.This work was financially supported with FEDER founds (‘A way to make Europe’) by the Spanish AEI (Doi: 10.13039/501100011033; Refs. PID2020-114521RB-C21 and PSI2017-89389-C2-1-R) and by the Galician Government (Consellería de Cultura, Educación e Ordenación Universitaria; axudas para a consolidación e estruturación de unidades de investigación competitivas do Sistema Universitario de Galicia ED431C 2021/04; GI-1807-USC: Ref. 2021-PG011).S

Predicting progression of cognitive decline to dementia using dyadic patterns of subjective reporting: evidence from the CompAS longitudinal study

ObjectiveTo analyze the validity of self and informant reports, depressive symptomatology, and some sociodemographic variables to predict the risk of cognitive decline at different follow-up times.MethodsA total of 337 participants over 50 years of age included in the CompAS and classified as Cognitively Unimpaired (CU), Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) groups were assessed at baseline and three follow-ups. A short version of the QAM was administered to assess the severity of subjective cognitive complaints (SCCs), and the GDS-15 was used to evaluate the depressive symptoms. At each follow-up assessment, participants were reclassified according to the stability, regression or progression of their conditions. Logistic regression analysis was used to predict which CU, SCD and MCI participants would remain stable, regress or progress at a 3rd follow-up by using self- and informant-reported complaints, depressive symptomatology, age and education at baseline and 2nd follow-ups as the predictive variables.ResultsOverall, self-reported complaints predicted progression between the asymptomatic and presymptomatic stages. As the objective deterioration increased, i.e., when SCD progressed to MCI or dementia, the SCCs reported by informants proved the best predictors of progression. Depressive symptomatology was also a predictor of progression from CU to SCD and from SCD to MCI.ConclusionA late increase in self-reported complaints make valid estimates to predict subjective decline at asymptomatic stages. However, an early increase in complaints reported by informants was more accurate in predicting objective decline from asymptomatic stages. Both, early and late decrease in self-reported complaints successfully predict dementia from prodromic stage. Only late decrease in self-reported complaints predict reversion from prodromic and pre-symptomatic stages

Relevance of complaint severity in predicting the progression of subjective cognitive decline and mild cognitive impairment: A machine learning approach

Background: The presence of subjective cognitive complaints (SCCs) is a core criterion for diagnosis of subjective cognitive decline (SCD); however, no standard procedure for distinguishing normative and non-normative SCCs has yet been established. Objective: To determine whether differentiation of participants with SCD according to SCC severity improves the validity of the prediction of progression in SCD and MCI and to explore validity metrics for two extreme thresholds of the distribution in scores in a questionnaire on SCCs. Methods: Two hundred and fifty-three older adults with SCCs participating in the Compostela Aging Study (CompAS) were classified as MCI or SCD at baseline. The participants underwent two follow-up assessments and were classified as cognitively stable or worsened. Severity of SCCs (low and high) in SCD was established by using two different percentiles of the questionnaire score distribution as cut-off points. The validity of these cut-off points for predicting progression using socio-demographic, health, and neuropsychological variables was tested by machine learning (ML) analysis. Results: Severity of SCCs in SCD established considering the 5th percentile as a cut-off point proved to be the best metric for predicting progression. The variables with the main role in conforming the predictive algorithm were those related to memory, cognitive reserve, general health, and the stability of diagnosis over time. Conclusion: Moderate to high complainers showed an increased probability of progression in cognitive decline, suggesting the clinical relevance of standard procedures to determine SCC severity. Our findings highlight the important role of the multimodal ML approach in predicting progression.S