Risk Factors for Postoperative Delirium Severity After Deep Brain Stimulation Surgery in Parkinson's Disease.

Parkinson’s disease cognition deep brain stimulation outcome personalized therapy postoperative delirium risk prediction

Journal

Journal of Parkinson's disease
ISSN: 1877-718X
Titre abrégé: J Parkinsons Dis
Pays: Netherlands
ID NLM: 101567362

Informations de publication

Date de publication:
20 Jul 2024
Historique:
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 26 7 2024
Statut: aheadofprint

Résumé

Postoperative delirium (POD) is a serious complication following deep brain stimulation (DBS) but only received little attention. Its main risk factors are higher age and preoperative cognitive deficits. These are also main risk factors for long-term cognitive decline after DBS in Parkinson's disease (PD). To identify risk factors for POD severity after DBS surgery in PD. 57 patients underwent DBS (21 female; age 60.2±8.2; disease duration 10.5±5.9 years). Preoperatively, general, PD- and surgery-specific predictors were recorded. Montreal Cognitive Assessment and the neuropsychological test battery CANTAB ConnectTM were used to test domain-specific cognition. Volumes of the cholinergic basal forebrain were calculated with voxel-based morphometry. POD severity was recorded with the delirium scales Confusion Assessment Method for Intensive Care Unit (CAM-ICU) and Nursing Delirium Scale (NU-DESC). Spearman correlations were calculated for univariate analysis of predictors and POD severity and linear regression with elastic net regularization and leave-one-out cross-validation was performed to fit a multivariable model. 21 patients (36.8%) showed mainly mild courses of POD following DBS. Correlation between predicted and true POD severity was significant (spearman rho = 0.365, p = 0.001). Influential predictors were age (p < 0.001), deficits in attention and motor speed (p = 0.002), visual learning (p = 0.036) as well as working memory (p < 0.001), Nucleus basalis of Meynert volumes (p = 0.003) and burst suppression (p = 0.005). General but also PD- and surgery-specific factors were predictive of POD severity. These findings underline the multifaceted etiology of POD after DBS in PD. Valid predictive models must therefore consider general, PD- and surgery-specific factors.

Sections du résumé

Background UNASSIGNED
Postoperative delirium (POD) is a serious complication following deep brain stimulation (DBS) but only received little attention. Its main risk factors are higher age and preoperative cognitive deficits. These are also main risk factors for long-term cognitive decline after DBS in Parkinson's disease (PD).
Objective UNASSIGNED
To identify risk factors for POD severity after DBS surgery in PD.
Methods UNASSIGNED
57 patients underwent DBS (21 female; age 60.2±8.2; disease duration 10.5±5.9 years). Preoperatively, general, PD- and surgery-specific predictors were recorded. Montreal Cognitive Assessment and the neuropsychological test battery CANTAB ConnectTM were used to test domain-specific cognition. Volumes of the cholinergic basal forebrain were calculated with voxel-based morphometry. POD severity was recorded with the delirium scales Confusion Assessment Method for Intensive Care Unit (CAM-ICU) and Nursing Delirium Scale (NU-DESC). Spearman correlations were calculated for univariate analysis of predictors and POD severity and linear regression with elastic net regularization and leave-one-out cross-validation was performed to fit a multivariable model.
Results UNASSIGNED
21 patients (36.8%) showed mainly mild courses of POD following DBS. Correlation between predicted and true POD severity was significant (spearman rho = 0.365, p = 0.001). Influential predictors were age (p < 0.001), deficits in attention and motor speed (p = 0.002), visual learning (p = 0.036) as well as working memory (p < 0.001), Nucleus basalis of Meynert volumes (p = 0.003) and burst suppression (p = 0.005).
Conclusions UNASSIGNED
General but also PD- and surgery-specific factors were predictive of POD severity. These findings underline the multifaceted etiology of POD after DBS in PD. Valid predictive models must therefore consider general, PD- and surgery-specific factors.

Identifiants

pubmed: 39058451
pii: JPD230276
doi: 10.3233/JPD-230276
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Melanie Astalosch (M)

Department of Neurology and Experimental Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.
Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Mahta Mousavi (M)

Technische Universität, Berlin, Germany.

Luísa Martins Ribeiro (LM)

Department of Neurology and Experimental Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.
Department of Anesthesiology and Intensive Care Medicine, Campus Charité Mitte and Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Gerd-Helge Schneider (GH)

Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.

Heiner Stuke (H)

Department of Psychiatry, Charité-Universitätsmedizin Berlin, Germany.
Robert Koch-Institute, Germany.
Centre for Artificial Intelligence in Public Health Research, Germany; Berlin Center for Advanced Neuroimaging (BCAN), Charité - Universitätsmedizin Berlin, Germany.

Stefan Haufe (S)

Technische Universität, Berlin, Germany.
Robert Koch-Institute, Germany.
Physikalisch-Technische Bundesanstalt, Berlin, Germany.

Friedrich Borchers (F)

Department of Anesthesiology and Intensive Care Medicine, Campus Charité Mitte and Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Claudia Spies (C)

Department of Anesthesiology and Intensive Care Medicine, Campus Charité Mitte and Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Judith von Hofen-Hohloch (J)

Department of Neurology, Universitätsklinikum Leipzig, Germany.

Bassam Al-Fatly (B)

Department of Neurology and Experimental Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.

Georg Ebersbach (G)

Movement Disorders Clinic, Kliniken Beelitz GmbH, Beelitz-Heilstätten, Germany.

Christiana Franke (C)

Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Andrea A Kühn (AA)

Department of Neurology and Experimental Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.
Berlin School of Mind and Brain, Humboldt - Universität zu Berlin, Berlin, Germany.
Deutsches Zentrum für Neurodegenerative Erkrankungen, Berlin, Germany.

Dorothee Kübler-Weller (D)

Department of Neurology and Experimental Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.
Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Classifications MeSH