Your browser doesn't support javascript.
loading
Classification, Prediction, and Concordance of Cognitive and Functional Progression in Patients with Mild Cognitive Impairment in the United States: A Latent Class Analysis.
Mouchet, Julie; Betts, Keith A; Georgieva, Mihaela V; Ionescu-Ittu, Raluca; Butler, Lesley M; Teitsma, Xavier; Delmar, Paul; Kulalert, Thomas; Zhu, JingJing; Lema, Neema; Desai, Urvi.
Affiliation
  • Mouchet J; F. Hoffmann-La Roche Ltd, Basel, Switzerland.
  • Betts KA; Analysis Group, Los Angeles, CA, USA.
  • Georgieva MV; Analysis Group, Boston, MA, USA.
  • Ionescu-Ittu R; Groupe d'Analyse, Montréal, QC, Canada.
  • Butler LM; F. Hoffmann-La Roche Ltd, Basel, Switzerland.
  • Teitsma X; F. Hoffmann-La Roche Ltd, Basel, Switzerland.
  • Delmar P; F. Hoffmann-La Roche Ltd, Basel, Switzerland.
  • Kulalert T; Analysis Group, London, UK.
  • Zhu J; Analysis Group, Boston, MA, USA.
  • Lema N; Analysis Group, Boston, MA, USA.
  • Desai U; Analysis Group, Boston, MA, USA.
J Alzheimers Dis ; 82(4): 1667-1682, 2021.
Article in En | MEDLINE | ID: mdl-34219723
ABSTRACT

BACKGROUND:

Progression trajectories of patients with mild cognitive impairment (MCI) are currently not well understood.

OBJECTIVE:

To classify patients with incident MCI into different latent classes of progression and identify predictors of progression class.

METHODS:

Participants with incident MCI were identified from the US National Alzheimer's Coordinating Center Uniform Data Set (09/2005-02/2019). Clinical Dementia Rating (CDR®) Dementia Staging Instrument-Sum of Boxes (CDR-SB), Functional Activities Questionnaire (FAQ), and Mini-Mental State Examination (MMSE) score longitudinal trajectories from MCI diagnosis were fitted using growth mixture models. Predictors of progression class were identified using multivariate multinomial logistic regression models; odds ratios (ORs) and 95% confidence intervals (CIs) were reported.

RESULTS:

In total, 21%, 22%, and 57% of participants (N = 830) experienced fast, slow, and no progression on CDR-SB, respectively; for FAQ, these figures were 14%, 23%, and 64%, respectively. CDR-SB and FAQ class membership was concordant for most participants (77%). Older age (≥86 versus≤70 years, OR [95% CI] = 5.26 [1.78-15.54]), one copy of APOE ɛ4 (1.94 [1.08-3.47]), higher baseline CDR-SB (2.46 [1.56-3.88]), lower baseline MMSE (0.85 [0.75-0.97]), and higher baseline FAQ (1.13 [1.02-1.26]) scores were significant predictors of fast progression versus no progression based on CDR-SB (all p < 0.05). Predictors of FAQ class membership were largely similar.

CONCLUSION:

Approximately a third of participants experienced progression based on CDR-SB or FAQ during the  4-year follow-up period. CDR-SB and FAQ class assignment were concordant for the vast majority of participants. Identified predictors may help the selection of patients at higher risk of progression in future trials.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Cognition / Disease Progression / Cognitive Dysfunction / Physical Functional Performance Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Humans Country/Region as subject: America do norte Language: En Journal: J Alzheimers Dis Journal subject: GERIATRIA / NEUROLOGIA Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Cognition / Disease Progression / Cognitive Dysfunction / Physical Functional Performance Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Humans Country/Region as subject: America do norte Language: En Journal: J Alzheimers Dis Journal subject: GERIATRIA / NEUROLOGIA Year: 2021 Document type: Article Affiliation country: