NeuCogA-Aging
http://hdl.handle.net/10347/15521
Neurociencia Cognitiva Aplicada e Psicoxerontoloxía2024-03-29T05:47:51ZDoes the neuropsychiatric inventory predict progression from mild cognitive impairment to dementia? A systematic review and meta-analysis
http://hdl.handle.net/10347/32252
Does the neuropsychiatric inventory predict progression from mild cognitive impairment to dementia? A systematic review and meta-analysis
Mallo López, Sabela Carme; Patten, Scott; Ismail, Zahinoor; Pereiro Rozas, Arturo José; Facal, David; Otero Ortega, Carlos; Juncos-Rabadán, Onésimo
Background
Neuropsychiatric Symptoms (NPS) are common in Mild Cognitive Impairment (MCI). The Neuropsychiatric Inventory (NPI) and its shorter version, the Neuropsychiatric Inventory Questionnaire (NPI-Q), are the most common measures to assess NPS. Our objective was to determine if NPI/NPI-Q ratings predict conversion from MCI to dementia.
Methods
Empirical longitudinal studies published in English or Spanish, concerned with the role of NPS as a risk factor for conversion from MCI to dementia, with a diagnosis of MCI following clinical criteria, that reported NPI/NPI-Q total score in converters versus non-converters, were included. Random effects models were used, and heterogeneity was explored with stratification and a random-effects meta-regression. The overall conversion rate and the standardized mean difference (SMD) for evolution, as a function of NPI/NPI-Q scores, were calculated.
Results
The overall conversion rate was 35 %. Mean NPI/NPI-Q ratings were higher in converters versus in non-converters, with the overall SMD approaching significance. Heterogeneity was observed in studies of more than two years of follow-up and in a study with a mean age of more than 80 years. This heterogeneity concerned the size, not the direction of the difference.
Conclusions
Our results suggest that NPI/NPI-Q ratings are associated with conversion from MCI to dementia
2020-01-01T00:00:00ZNeuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach
http://hdl.handle.net/10347/32234
Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach
Mallo López, Sabela Carme; Valladares Rodríguez, Sonia; Facal, David; Lojo-Seoane, Cristina; Fernández Iglesias, Manuel José; Pereiro Rozas, Arturo José
Objectives:
To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.
Design:
Mann-Whitney U and ML analysis. Nine ML algorithms were evaluated using a 10-fold stratified validation procedure. Performance metrics (accuracy, recall, F-1 score, and Cohen’s kappa) were computed for each algorithm, and graphic metrics (ROC and precision-recall curves) and features analysis were computed for the best-performing algorithm.
Setting:
Primary care health centers.
Participants:
128 participants: 78 cognitively unimpaired and 50 with MCI.
Measurements:
Diagnosis at baseline, months from the baseline assessment until the 3rd follow-up or development of dementia, gender, age, Charlson Comorbidity Index, Neuropsychiatric Inventory-Questionnaire (NPI-Q) individual items, NPI-Q total severity, and total stress score and Geriatric Depression Scale-15 items (GDS-15) total score.
Results:
30 participants developed dementia, while 98 did not. Most of the participants who developed dementia were diagnosed at baseline with amnestic multidomain MCI. The Random Forest Plot model provided the metrics that best predicted conversion to dementia (e.g. accuracy=.88, F1=.67, and Cohen’s kappa=.63). The algorithm indicated the importance of the metrics, in the following (decreasing) order: months from first assessment, age, the diagnostic group at baseline, total NPI-Q severity score, total NPI-Q stress score, and GDS-15 total score.
Conclusions:
ML is a valuable technique for detecting the risk of conversion to dementia in MCI patients. Some NPS proxies, including NPI-Q total severity score, NPI-Q total stress score, and GDS-15 total score, were deemed as the most important variables for predicting conversion, adding further support to the hypothesis that some NPS are associated with a higher risk of dementia in MCI
This is an Accepted Manuscript of an article published by Edinburgh University Press in International Journal of Humanities and Arts Computing. The Version of Record is available online at: https://doi.org/10.1017/S1041610219001030
2020-01-01T00:00:00ZPhonological fluency norms for Spanish middle-aged and older adults provided by the SCAND initiative (P, M, & R)
http://hdl.handle.net/10347/31648
Phonological fluency norms for Spanish middle-aged and older adults provided by the SCAND initiative (P, M, & R)
DELGADO LOSADA, MARIA LUISA; Rubio-Valdehita, Susana; López Higes, Ramón; Campos-Magdaleno, Maria; Ávila-Villanueva, M.; Frades Payo, M. Belen; Lojo-Seoane, Cristina
Objective: Verbal fluency tests are quick and easy to administer neuropsychological measures and are regularly used in neuropsychological
assessment. Additionally, phonological fluency is a widely used paradigm that is sensitive to cognitive impairment. This paper offers normative
data of phonological verbal fluency (letters P, M, R) for Spanish middle- and older-aged adults, considering sociodemographic factors, and
different measures such as the total number of words, errors (perseveration and intrusions), and 15 sec-segmented scores. Method: A total of
1165 cognitively unimpaired participants aged between 50 and 89 years old, participated in the study. Data for P were obtained for all
participants. Letters M and R were also administered to a subsample of participants (852) aged 60 to 89 years. In addition, errors and words
produced every 15 seconds were collected in the subsample. To verify the effect of sociodemographic variables, linear regression was used.
Adjustments were calculated for variables that explained at least 5% of the variance (R2 ≥ .05). Results: Means and standard deviations by age,
scaled scores, and percentiles for all tests across different measures are shown. No determination coefficients equal to or greater than .05 were
found for sex or age. The need to establish adjustments for the educational level was only found in some of the measures. Conclusions: The
current norms provide clinically useful data to evaluate Spanish-speaking natives from Spain aged from 50 to 89 years. Specific patterns of
cognitive impairment can be analyzed using these normative data and may be important in neuropsychological assessmentObjective: Verbal fluency tests are quick and easy to administer neuropsychological measures and are regularly used in neuropsychological
assessment. Additionally, phonological fluency is a widely used paradigm that is sensitive to cognitive impairment. This paper offers normative
data of phonological verbal fluency (letters P, M, R) for Spanish middle- and older-aged adults, considering sociodemographic factors, and
different measures such as the total number of words, errors (perseveration and intrusions), and 15 sec-segmented scores. Method: A total of
1165 cognitively unimpaired participants aged between 50 and 89 years old, participated in the study. Data for P were obtained for all
participants. Letters M and R were also administered to a subsample of participants (852) aged 60 to 89 years. In addition, errors and words
produced every 15 seconds were collected in the subsample. To verify the effect of sociodemographic variables, linear regression was used.
Adjustments were calculated for variables that explained at least 5% of the variance (R2 ≥ .05). Results: Means and standard deviations by age,
scaled scores, and percentiles for all tests across different measures are shown. No determination coefficients equal to or greater than .05 were
found for sex or age. The need to establish adjustments for the educational level was only found in some of the measures. Conclusions: The
current norms provide clinically useful data to evaluate Spanish-speaking natives from Spain aged from 50 to 89 years. Specific patterns of
cognitive impairment can be analyzed using these normative data and may be important in neuropsychological assessment
2023-01-01T00:00:00ZAssessment of validity and comparison of two spanish versions of the geriatric depression scale
http://hdl.handle.net/10347/31636
Assessment of validity and comparison of two spanish versions of the geriatric depression scale
Bugallo Carrera, César; Dosil Díaz, Carlos; Pereiro Rozas, Arturo José; Anido-Rifón, Luis; Pacheco Lorenzo, Moisés; Fernández Iglesias, Manuel José; Gandoy-Crego, Manuel
Introduction: The Geriatric Depression Scale is an instrument used to identify
depression in people of an older age. The original English version of this scale has
been translated into Spanish (GDS-VE); two shorter versions of 5- (GDS-5) and
15-items (GDS-15) have been developed.
Aim of the study: To assess the validity and compare the 5- and 15-item Spanish
versions of the GDS among the Spanish population.
Materials and methods: 573 Galicia residents aged >50 years participated in this
study. The following instruments were applied: the 19-item Control, Autonomy, Self-
Realization and Pleasure scale, the Subjective Memory Complaints Questionnaire,
the Mini-Mental State Examination test, the GDS-5, and the GDS-15.
Results: We found differences in total score between GDS-5 and GDS-15
regarding the variable sex. Internal reliability for GDS-5 and GDS-15 was 0.495
and 0.715, respectively. Sensitivity and specificity for GDS-5 – with a cut-off value
of 1 – was 0.517 and 0.650, respectively; for GDS-15 – with a cut-off value of 3
points – sensitivity was 0.755 and specificity 0.668. GDS-5 has a ROC curve of
0.617 and GDS-15 of 0.764.
Conclusion: GDS-15, and to a greater extent GDS-5, should be revised or
even reformulated to improve their diagnostic usefulness by choosing higher
discriminative ability items or even include new items with greater sensitivity that
consider currently prevailing psychosocial factors
2023-01-01T00:00:00Z