OBJECTIVE: Cluster analysis based on Alzheimer's disease (AD) neuropsychiatric profile demonstrated validity on caregiver burden, nursing-home placement and survival. The aims of our study were to explore the validity of this approach on caregiver burden, lack of insight and cognitive impairment and to examine the impact of neuropsychiatric profiles on these variables. METHOD: A data-driven approach (two-step cluster analysis) identified groups of patients based on similarities of their neuropsychiatric symptom profile, as assessed by the Neuropsychiatric Inventory (NPI). ANOVAs and chi(2) tests were used to compare groups with regard to continuous and categorical variables. Linear regressions tested the relationships between NPI and clinical variables. RESULTS: Psychotic/behavioral, depressive and minimally symptomatic clusters differed for caregiver burden and lack of insight. Patients in the minimally symptomatic cluster showed better insight than those in the depressive cluster. Caregivers of the psychotic/behavioral cluster experienced the highest burden. We found positive relationships between NPI and lack of insight in the depressive and minimally symptomatic clusters and between NPI and caregiver burden in all three clusters. Caregiver burden was influenced by the type of symptoms. CONCLUSIONS: The cluster analysis was valid for lack of insight and caregiver burden. Symptoms predominant on caregiver burden could become targets for therapy. Copyright 2010 S. Karger AG, Basel.
OBJECTIVE: Cluster analysis based on Alzheimer's disease (AD) neuropsychiatric profile demonstrated validity on caregiver burden, nursing-home placement and survival. The aims of our study were to explore the validity of this approach on caregiver burden, lack of insight and cognitive impairment and to examine the impact of neuropsychiatric profiles on these variables. METHOD: A data-driven approach (two-step cluster analysis) identified groups of patients based on similarities of their neuropsychiatric symptom profile, as assessed by the Neuropsychiatric Inventory (NPI). ANOVAs and chi(2) tests were used to compare groups with regard to continuous and categorical variables. Linear regressions tested the relationships between NPI and clinical variables. RESULTS:Psychotic/behavioral, depressive and minimally symptomatic clusters differed for caregiver burden and lack of insight. Patients in the minimally symptomatic cluster showed better insight than those in the depressive cluster. Caregivers of the psychotic/behavioral cluster experienced the highest burden. We found positive relationships between NPI and lack of insight in the depressive and minimally symptomatic clusters and between NPI and caregiver burden in all three clusters. Caregiver burden was influenced by the type of symptoms. CONCLUSIONS: The cluster analysis was valid for lack of insight and caregiver burden. Symptoms predominant on caregiver burden could become targets for therapy. Copyright 2010 S. Karger AG, Basel.
Authors: Katherine Ornstein; Joseph E Gaugler; D P Devanand; Nikos Scarmeas; Carolyn Zhu; Yaakov Stern Journal: Am J Geriatr Psychiatry Date: 2013-02-06 Impact factor: 4.105
Authors: Noelle E Carlozzi; Carey W Sherman; Kaley Angers; Mitchell P Belanger; Amy M Austin; Kelly A Ryan Journal: Aging Ment Health Date: 2017-07-12 Impact factor: 3.658
Authors: Crystal V Flynn Longmire; Lea T Drye; Constantine E Frangakis; Barbara K Martin; Curtis L Meinert; Jacobo E Mintzer; Cynthia A Munro; Anton P Porsteinsson; Peter V Rabins; Paul B Rosenberg; Lon S Schneider; Daniel Weintraub; Constantine G Lyketsos Journal: Am J Geriatr Psychiatry Date: 2014-01 Impact factor: 4.105
Authors: Paula T Trzepacz; Andrew Saykin; Peng Yu; Phani Bhamditipati; Jia Sun; Ellen B Dennehy; Brian Willis; Jeffrey L Cummings Journal: Am J Geriatr Psychiatry Date: 2013-04-18 Impact factor: 4.105
Authors: James R Hall; April R Wiechmann; Leigh A Johnson; Melissa Edwards; Robert C Barber; A Scott Winter; Meharvan Singh; Sid E O'Bryant Journal: J Alzheimers Dis Date: 2013 Impact factor: 4.472
Authors: Kelly A Ryan; Anne Weldon; Carol Persad; Judith L Heidebrink; Nancy Barbas; Bruno Giordani Journal: Dement Geriatr Cogn Disord Date: 2012-10-30 Impact factor: 2.959