Cerebral Blood Flow in Alzheimer's Disease: A Meta-Analysis on Transcranial Doppler Investigations.

Alzheimer’s Disease cerebral flow transcranial Doppler

Journal

Geriatrics (Basel, Switzerland)
ISSN: 2308-3417
Titre abrégé: Geriatrics (Basel)
Pays: Switzerland
ID NLM: 101704019

Informations de publication

Date de publication:
04 May 2024
Historique:
received: 03 12 2023
revised: 19 04 2024
accepted: 01 05 2024
medline: 28 5 2024
pubmed: 28 5 2024
entrez: 28 5 2024
Statut: epublish

Résumé

Cerebrovascular hemodynamic impairment has been reported in Alzheimer's disease (AD). We performed a systematic review and meta-analysis to investigate changes in cerebral blood flow (CBF) in AD patients. Data were obtained by searching MEDLINE and Scopus for all investigations published between 1 January 2011 and 1 November 2021, comparing the cerebrovascular hemodynamic between AD patients and cognately healthy age-matched controls, using transcranial Doppler (TCD) ultrasound. Twelve studies, based on 685 patients [395 with AD and 290 age-matched cognitively healthy controls, with a mean age of 71.5 and 72.1 years, respectively] were included in the analysis. A random effect model revealed that AD patients, in the proximal segments of the middle cerebral artery (MCA), have a significantly lower CBF velocity, compared to controls (MD: -7.80 cm/s, 95%CI: -10.78 to -5.13, AD patients have a significant impairment in relation to their cerebrovascular perfusion, suggesting that cerebrovascular hemodynamic deterioration, evaluated using TCD, may be a useful diagnostic tool.

Sections du résumé

BACKGROUND BACKGROUND
Cerebrovascular hemodynamic impairment has been reported in Alzheimer's disease (AD). We performed a systematic review and meta-analysis to investigate changes in cerebral blood flow (CBF) in AD patients.
METHODS METHODS
Data were obtained by searching MEDLINE and Scopus for all investigations published between 1 January 2011 and 1 November 2021, comparing the cerebrovascular hemodynamic between AD patients and cognately healthy age-matched controls, using transcranial Doppler (TCD) ultrasound.
RESULTS RESULTS
Twelve studies, based on 685 patients [395 with AD and 290 age-matched cognitively healthy controls, with a mean age of 71.5 and 72.1 years, respectively] were included in the analysis. A random effect model revealed that AD patients, in the proximal segments of the middle cerebral artery (MCA), have a significantly lower CBF velocity, compared to controls (MD: -7.80 cm/s, 95%CI: -10.78 to -5.13,
CONCLUSIONS CONCLUSIONS
AD patients have a significant impairment in relation to their cerebrovascular perfusion, suggesting that cerebrovascular hemodynamic deterioration, evaluated using TCD, may be a useful diagnostic tool.

Identifiants

pubmed: 38804315
pii: geriatrics9030058
doi: 10.3390/geriatrics9030058
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Marco Zuin (M)

Department of Translational Medicine, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Alessandro De Vito (A)

Department of Neurology, Stroke Division, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Tommaso Romagnoli (T)

Department of Translational Medicine, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Michele Polastri (M)

Department of Translational Medicine, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Eleonora Capatti (E)

Department of Translational Medicine, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Cristiano Azzini (C)

Department of Translational Medicine, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Gloria Brombo (G)

Department of Translational Medicine, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Giovanni Zuliani (G)

Department of Translational Medicine, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Ferrara, Italy.

Classifications MeSH