[P1–296]: ASSESSING MILD BEHAVIORAL IMPAIRMENT IN PEOPLE WITH SUBJECTIVE COGNITIVE COMPLAINTS (SCCS) WITH THE MILD BEHAVIORAL IMPAIRMENT CHECKLIST (MBI‐C): A PILOT STUDY

  1. Mallo, Sabela C. 1
  2. Pereiro, Arturo X. 1
  3. Facal, David 1
  4. Lojo‐Seoane, Cristina 1
  5. Campos‐Magdaleno, Maria 1
  6. Ismail, Zahinoor 2
  7. Juncos‐Rabadán, Onésimo 1
  1. 1 University of Santiago de Compostela Santiago de Compostela Spain
  2. 2 University of Calgary, Cumming School of Medicine Calgary AB Canada
Revista:
Alzheimer's & Dementia

ISSN: 1552-5260 1552-5279

Ano de publicación: 2017

Volume: 13

Número: 7S_Part_7

Tipo: Artigo

DOI: 10.1016/J.JALZ.2017.06.312 GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Alzheimer's & Dementia

Resumo

BackgroundRecent reviews and meta-analysis show that Subjective cognitive complaints SCCs have significant association with cognition and with affective symptoms and could represent higher risk of progression to dementia. Mild behavioral impairment (MBI) is a diagnostic construct aimed to identify patients who present with later-life acquired behavioral symptoms (BS) with an increased risk of developing dementia, but who may or may not have objective cognitive impairment (Ismail et al., 2016). The ISTAART have proposed MBI criteria for early identification of BS that can play an important role in detection of neurodegenerative illness. The aims of the present work were to determine the presence of behavioral symptoms and to identify MBI in people with SCCs.MethodsWe evaluated 129 participants aged +50 years who attended primary care health centers with SCCs and without neurological or psychiatric illness. Each participant underwent extensive evaluation including Questionnaire of Cognitive Complains (SCC-Q), MMSE, CAMCOG-R, NPI-Q, and GDS-15 (Table 1). The Spanish version of the Mild Behavioral Impairment checklist (Ismail et al, 2017) (BMI-C) was applied by phone to participants’ informants, for assessing BS. Diagnosis of MBI was made following the ISTAART diagnostic criteria (Ismail et al., 2016). Descriptive, logistic regression, ROC curve, and bivariate correlations analyses were performed.ResultsThe prevalence of MBI according to diagnosis criteria was 11.60%. The total MBI-C scoring was very low (Figure 1). Quartiles 25 and 50 were .00 for all domains and .00 and 2.00 for total scoring Quartile 75 was between .00 and 9.00 (maximum possible for total scoring, 102) (Table 2). MBI-C total scoring differentiated people with BMI: cutoff point 7.50, sensitivity= .93; specificity= .76, AUC= .93, p < .001 (Figure 2). MBI-C total scoring correlated positively with SCC-Q (informant), MMSE, CAMCOG-R and NPI-Q but did not correlate with GDS-15.ConclusionsPeople with SCCs present few and subtle behavioral symptoms that are correlated to their cognitive performance. The phone application of the BMI-C is useful for sensibly detecting MBI. Further cross-sectional and longitudinal studies are needed for detecting MBI in people with SCCs and for proving its predictive value to conversion to MCI and dementia.