Vascular risk factors, white matter lesions and cognitive impairment in Parkinson's disease: the PACOS longitudinal study.


Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 09 05 2020
accepted: 24 08 2020
revised: 18 08 2020
pubmed: 1 9 2020
medline: 22 6 2021
entrez: 1 9 2020
Statut: ppublish

Résumé

Vascular risk factors (VRFs) may be associated with cognitive decline in early Parkinson's disease (PD) but results are inconclusive. The identification of modifiable risk factors is relevant for prevention and treatment. Parkinson's disease (PD) patients of the PACOS cohort who underwent a baseline and follow-up neuropsychological evaluation were enrolled in the study. PD with Mild Cognitive Impairment (MCI) and dementia (PDD) were diagnosed according to the MDS criteria. A Baseline 1.5 T brain MRI was used to calculate the white matter lesions (WMLs) burden using the Wahlund visual scale. Laboratory data, presence of hypertension, diabetes and use of anti-hypertensive drugs were collected and the Framingham Risk (FR) score was calculated. VRFs predicting PD-MCI and PDD were evaluated using Cox proportional hazard regression model. Out of 139 enrolled patients, 84 (60.4%) were classified as normal cognition (NC) and 55 (39.6%) as MCI at baseline. At follow-up 28 (33.3%) PD-NC developed MCI and 4 (4.8%) PDD (follow-up time 23.5 ± 10.3 months). Out of 55 PD-MCI patients at baseline, 14 (25.4%) converted to PDD. At multivariate analysis among PD-NC a systolic blood pressure (SBP) > 140 mmHg was the stronger predictor of MCI (adjHR 4.04; 95% CI 1.41-11.3) while the presence of MCI at baseline (adj HR 7.55; 95% CI 1.76-32.3) and a severe WMLs burden (adj HR 2.80; 95% CI 0.86-9.04) were the strongest predictors of PDD, even if this latter association has a trend towards significance. Hypertension represents the most important modifiable risk factor for PD-MCI in the PACOS cohort, increasing the risk of about four times.

Sections du résumé

BACKGROUND BACKGROUND
Vascular risk factors (VRFs) may be associated with cognitive decline in early Parkinson's disease (PD) but results are inconclusive. The identification of modifiable risk factors is relevant for prevention and treatment.
METHODS METHODS
Parkinson's disease (PD) patients of the PACOS cohort who underwent a baseline and follow-up neuropsychological evaluation were enrolled in the study. PD with Mild Cognitive Impairment (MCI) and dementia (PDD) were diagnosed according to the MDS criteria. A Baseline 1.5 T brain MRI was used to calculate the white matter lesions (WMLs) burden using the Wahlund visual scale. Laboratory data, presence of hypertension, diabetes and use of anti-hypertensive drugs were collected and the Framingham Risk (FR) score was calculated. VRFs predicting PD-MCI and PDD were evaluated using Cox proportional hazard regression model.
RESULTS RESULTS
Out of 139 enrolled patients, 84 (60.4%) were classified as normal cognition (NC) and 55 (39.6%) as MCI at baseline. At follow-up 28 (33.3%) PD-NC developed MCI and 4 (4.8%) PDD (follow-up time 23.5 ± 10.3 months). Out of 55 PD-MCI patients at baseline, 14 (25.4%) converted to PDD. At multivariate analysis among PD-NC a systolic blood pressure (SBP) > 140 mmHg was the stronger predictor of MCI (adjHR 4.04; 95% CI 1.41-11.3) while the presence of MCI at baseline (adj HR 7.55; 95% CI 1.76-32.3) and a severe WMLs burden (adj HR 2.80; 95% CI 0.86-9.04) were the strongest predictors of PDD, even if this latter association has a trend towards significance.
CONCLUSION CONCLUSIONS
Hypertension represents the most important modifiable risk factor for PD-MCI in the PACOS cohort, increasing the risk of about four times.

Identifiants

pubmed: 32865628
doi: 10.1007/s00415-020-10189-8
pii: 10.1007/s00415-020-10189-8
pmc: PMC7880923
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

549-558

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Auteurs

Alessandra Nicoletti (A)

Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy. anicolet@unict.it.

Antonina Luca (A)

Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy.

Roberta Baschi (R)

Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy.

Calogero Edoardo Cicero (CE)

Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy.

Giovanni Mostile (G)

Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy.

Marco Davì (M)

Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy.

Giuseppe La Bianca (G)

Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy.

Vincenzo Restivo (V)

Department of Sciences for Health Promotion and Mother-Child Care, University of Palermo, Palermo, Italy.

Mario Zappia (M)

Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy.

Roberto Monastero (R)

Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy. roberto.monastero@unipa.it.

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