Prestroke Cognitive Impairment: Frequency and Association With Premorbid Neuropsychiatric, Functional, and Neuroimaging Features.

cognitive dysfunction ischemic stroke neuroimaging prevalence white matter

Journal

Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266

Informations de publication

Date de publication:
31 May 2024
Historique:
medline: 31 5 2024
pubmed: 31 5 2024
entrez: 31 5 2024
Statut: aheadofprint

Résumé

Some patients with stroke have prestroke cognitive impairment (pre-SCI), but its etiology is not clear. The aim of this cross-sectional study was to assess the frequency of pre-SCI and its association with premorbid neuropsychiatric, functional, and neuroimaging features. Patients hospitalized in stroke unit with an informant who could complete IQCODE (Informant Questionnaire for Cognitive Decline in the Elderly) were included. Pre-SCI was diagnosed if the IQCODE score was >3.3. Prestroke assessment also included NPI-Q (Neuropsychiatric Inventory Questionnaire), the basic Activities of Daily Living and Instrumental Activities of Daily Living scales, and the Clinical Dementia Rating scale. A multivariate logistic regression model was used to evaluate the association of pre-SCI with age, sex, education, arterial hypertension, atrial fibrillation, white matter lesions, cerebral microbleeds, and pathological medial temporal lobe atrophy. IQCODE was available in 474 of 520 patients (91.2%; 45% women; mean age 75.5±13.3 years). Pre-SCI had a prevalence of 32.5% and was associated with prestroke NPI-Q (pre-SCI absent versus present, 1.7±2.3 versus 5.5±4.9; One-third of patients admitted to a stroke unit have pre-SCI that is associated with preexisting neuropsychiatric symptoms and functional performance. White matter lesions and medial temporal lobe atrophy are associated with pre-SCI, suggesting that both small vessel disease and neurodegeneration might be involved in its etiology.

Sections du résumé

BACKGROUND UNASSIGNED
Some patients with stroke have prestroke cognitive impairment (pre-SCI), but its etiology is not clear. The aim of this cross-sectional study was to assess the frequency of pre-SCI and its association with premorbid neuropsychiatric, functional, and neuroimaging features.
METHODS UNASSIGNED
Patients hospitalized in stroke unit with an informant who could complete IQCODE (Informant Questionnaire for Cognitive Decline in the Elderly) were included. Pre-SCI was diagnosed if the IQCODE score was >3.3. Prestroke assessment also included NPI-Q (Neuropsychiatric Inventory Questionnaire), the basic Activities of Daily Living and Instrumental Activities of Daily Living scales, and the Clinical Dementia Rating scale. A multivariate logistic regression model was used to evaluate the association of pre-SCI with age, sex, education, arterial hypertension, atrial fibrillation, white matter lesions, cerebral microbleeds, and pathological medial temporal lobe atrophy.
RESULTS UNASSIGNED
IQCODE was available in 474 of 520 patients (91.2%; 45% women; mean age 75.5±13.3 years). Pre-SCI had a prevalence of 32.5% and was associated with prestroke NPI-Q (pre-SCI absent versus present, 1.7±2.3 versus 5.5±4.9;
CONCLUSIONS UNASSIGNED
One-third of patients admitted to a stroke unit have pre-SCI that is associated with preexisting neuropsychiatric symptoms and functional performance. White matter lesions and medial temporal lobe atrophy are associated with pre-SCI, suggesting that both small vessel disease and neurodegeneration might be involved in its etiology.

Identifiants

pubmed: 38818731
doi: 10.1161/STROKEAHA.123.045344
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Francesco Mele (F)

Neurology Unit Luigi Sacco University Hospital, Milan, Italy (F. Mele, I.C., A.N., G.M., V.C., S.P., L.P.).

Ilaria Cova (I)

Neurology Unit Luigi Sacco University Hospital, Milan, Italy (F. Mele, I.C., A.N., G.M., V.C., S.P., L.P.).

Alessia Nicotra (A)

Neurology Unit Luigi Sacco University Hospital, Milan, Italy (F. Mele, I.C., A.N., G.M., V.C., S.P., L.P.).

Giorgia Maestri (G)

Neurology Unit Luigi Sacco University Hospital, Milan, Italy (F. Mele, I.C., A.N., G.M., V.C., S.P., L.P.).

Emilia Salvadori (E)

Department of Clinical and Biomedical Sciences, Neuroscience Research Center, University of Milan, Italy (E.S., F. Masserini, M.M., P.B., L.P.).

Valentina Cucumo (V)

Neurology Unit Luigi Sacco University Hospital, Milan, Italy (F. Mele, I.C., A.N., G.M., V.C., S.P., L.P.).

Federico Masserini (F)

Department of Clinical and Biomedical Sciences, Neuroscience Research Center, University of Milan, Italy (E.S., F. Masserini, M.M., P.B., L.P.).

Martina Martelli (M)

Department of Clinical and Biomedical Sciences, Neuroscience Research Center, University of Milan, Italy (E.S., F. Masserini, M.M., P.B., L.P.).

Simone Pomati (S)

Neurology Unit Luigi Sacco University Hospital, Milan, Italy (F. Mele, I.C., A.N., G.M., V.C., S.P., L.P.).

Pierluigi Bertora (P)

Department of Clinical and Biomedical Sciences, Neuroscience Research Center, University of Milan, Italy (E.S., F. Masserini, M.M., P.B., L.P.).

Leonardo Pantoni (L)

Neurology Unit Luigi Sacco University Hospital, Milan, Italy (F. Mele, I.C., A.N., G.M., V.C., S.P., L.P.).
Department of Clinical and Biomedical Sciences, Neuroscience Research Center, University of Milan, Italy (E.S., F. Masserini, M.M., P.B., L.P.).

Classifications MeSH