Copeptin Implementation on Stroke Prognosis.

blood biomarker cerebrovascular disease copeptin prognosis recovery stroke

Journal

Neurology international
ISSN: 2035-8385
Titre abrégé: Neurol Int
Pays: Switzerland
ID NLM: 101551564

Informations de publication

Date de publication:
16 Jan 2023
Historique:
received: 06 12 2022
revised: 02 01 2023
accepted: 11 01 2023
entrez: 17 1 2023
pubmed: 18 1 2023
medline: 18 1 2023
Statut: epublish

Résumé

Predicting functional outcome following stroke is considered to be of key importance in an attempt to optimize overall stroke care. Although clinical prognostic tools have been widely implemented, optimal blood biomarkers might be able to yield additional information regarding each stroke survivor's propensity for recovery. Copeptin seems to have interesting prognostic potential poststroke. The present review aims to explore the prognostic significance of copeptin in stroke patients. Literature research of two databases (MEDLINE and Scopus) was conducted to trace all relevant studies published between 16 February 2012 and 16 February 2022 that focused on the utility of copeptin as a prognostic marker in acute stroke setting. 25 studies have been identified and included in the present review. The predictive ability of copeptin regarding both functional outcome and mortality appears to be in the range of established clinical variables, thus highlighting the added value of copeptin evaluation in stroke management. Apart from acute ischemic stroke, the discriminatory accuracy of the biomarker was also demonstrated among patients with transient ischemic attack, intracerebral hemorrhage, and subarachnoid hemorrhage. Overall, copeptin represents a powerful prognostic tool, the clinical implementation of which is expected to significantly facilitate the individualized management of stroke patients.

Identifiants

pubmed: 36648972
pii: neurolint15010008
doi: 10.3390/neurolint15010008
pmc: PMC9844286
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

83-99

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Auteurs

Stella Karatzetzou (S)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Dimitrios Tsiptsios (D)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Anastasia Sousanidou (A)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Styliani Fotiadou (S)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Foteini Christidi (F)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Christos Kokkotis (C)

Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece.

Aimilios Gkantzios (A)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Eleftherios Stefas (E)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Pinelopi Vlotinou (P)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Antonia Kaltsatou (A)

FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, 42100 Trikala, Greece.

Nikolaos Aggelousis (N)

Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece.

Konstantinos Vadikolias (K)

Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece.

Classifications MeSH