Titre :

Brain imaging determinants of functional prognosis after severe endocarditis: a multicenter observational study

Auteur(s) :

Guettard, Yves-Olivier [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Gros, Alexandre [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Fukutomi, Hikaru [Auteur]
Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]
Pillois, Xavier [Auteur]
IHU-LIRYC
Preau, Sebastien [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Lavie-Badie, Yoan [Auteur]
Centre Hospitalier Universitaire de Toulouse [CHU Toulouse]
Marest, Delphine [Auteur]
Centre Hospitalier Universitaire de Nantes = Nantes University Hospital [CHU Nantes]
Martins, Raphael P. [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Coupez, Elisabeth [Auteur]
CHU Clermont-Ferrand
Coudroy, Remi [Auteur]
CIC Poitiers – Centre d'investigation clinique de Poitiers [CIC 1402]
Centre hospitalier universitaire de Poitiers = Poitiers University Hospital [CHU de Poitiers [La Milétrie]]
Seguy, Benjamin [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Boyer, Alexandre [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Tourdias, Thomas [Auteur]
Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]

Titre de la revue :

Neurological Sciences

Pagination :

3759-3768

Éditeur :

Springer Verlag

Date de publication :

2022-06

ISSN :

1590-1874

Mot(s)-clé(s) en anglais :

Infective endocarditis
Stroke
Topography
Prognosis

Discipline(s) HAL :

Sciences du Vivant [q-bio]/Ingénierie biomédicale

Résumé en anglais : [en]

Objective We developed a detailed imaging phenotype of the cerebral complications in critically ill patients with infective endocarditis (IE) and determine whether any specific imaging pattern could impact prognostic ...
Lire la suite >Objective We developed a detailed imaging phenotype of the cerebral complications in critically ill patients with infective endocarditis (IE) and determine whether any specific imaging pattern could impact prognostic information. Methods One hundred ninety-two patients admitted to the intensive care units of seven tertiary centers with severe, definite left IE and neurological complications were included. All underwent cerebral imaging few days after admission to define the types of lesions, their volumes, and their locations using voxel-based lesion-symptom mapping (VLSM). We employed uni- and multi-variate logistic regression analyses to explore the associations among imaging features and other prognostic variables and the 6-month modified Rankin Scale (mRS) score. Results Ischemic lesions were the most common lesions (75%; mean volume, 15.3 +/- 33 mL) followed by microbleeds (50%; mean number, 4 +/- 7.5), subarachnoidal hemorrhages (20%), hemorrhagic strokes (16%; mean volume, 14.6 +/- 21 mL), and hemorrhagic transformations (10%; mean volume, 5.6 +/- 11 mL). The volume of hemorrhagic transformations, the severity of leukopathy, and the compromises of certain locations on the motor pathway from the VLSM were associated with a poor 6-month mRS score on univariate analyses. However, upon multivariate analyses, no such specific imaging pattern independently predicted the mRS; this was instead influenced principally by age (OR = 1.03 [1.004-1.06]) and cardiac surgery status (OR = 0.06 [0.02-0.16]) in the entire cohort, and by age (OR= 1.04 [1.01-1.08]) and Staphylococcus aureus status (OR= 2.86 [1.19-6.89]) in operated patients. Conclusions In a cohort of severely ill IE patients with neurological complications, no specific imaging pattern could be highlighted as a reliable predictor of prognosis.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167

Source :

Harvested from HAL

Date de dépôt :

2025-03-18T17:59:49Z