COVID-19 and stroke in women: impact on clinical, psychosocial and research aspects.

COVID-19 Gender equity Pandemics Women Women’s role

Journal

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
ISSN: 1590-3478
Titre abrégé: Neurol Sci
Pays: Italy
ID NLM: 100959175

Informations de publication

Date de publication:
06 Aug 2024
Historique:
received: 24 06 2024
accepted: 23 07 2024
medline: 6 8 2024
pubmed: 6 8 2024
entrez: 5 8 2024
Statut: aheadofprint

Résumé

Despite the growing interest in gender medicine, the influence of sex and gender on human diseases, including stroke, continues to be underestimated and understudied. The COVID-19 pandemic has overall impacted not only the occurrence and management of stroke but has also exacerbated sex and gender disparities among both patients and healthcare providers. This paper aims to provide an updated overview on the influence of sex and gender in stroke pathophysiology and care during COVID-19 pandemic, through biological, clinical, psychosocial and research perspectives. Gender equity and awareness of the importance of sexual differences are sorely needed, especially in times of health crisis but have not yet been achieved to date. To this purpose, the sudden yet worldwide diffusion of COVID-19 represents a unique learning experience that highlights critical unmet needs also in gender medicine. The failures of this recent past should be kept as food for thought to inspire proper strategies reducing inequalities and to address women's health and wellbeing issues, particularly in case of future pandemics.

Identifiants

pubmed: 39103735
doi: 10.1007/s10072-024-07716-0
pii: 10.1007/s10072-024-07716-0
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. Fondazione Società Italiana di Neurologia.

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Auteurs

Isabella Canavero (I)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Benedetta Storti (B)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Giulia Marinoni (G)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Diana Aguiar De Souza (DA)

Department of Neurosciences and Mental Health, Hospital de Santa Maria, CHULN, University of Lisbon, Lisbon, Portugal.

Elena Moro (E)

Division of Neurology, CHU Grenoble Alpes, Grenoble Institute of Neuroscience, Grenoble Alpes University, Grenoble, France.

Laura Gatti (L)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Simona Sacco (S)

Neuroscience Section, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.

Svetlana Lorenzano (S)

Department of Human Neurosciences, Sapienza University, Rome, Italy.

Else C Sandset (EC)

Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway.

Anna Poggesi (A)

NEUROFARBA Department, University of Florence, Florence, Italy.
Stroke Unit, Careggi University Hospital, Florence, Italy.
Don Carlo Gnocchi Foundation, Florence, Italy.

Tatiana Carrozzini (T)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Giuliana Pollaci (G)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Antonella Potenza (A)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Gemma Gorla (G)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Joanna M Wardlaw (JM)

Centre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.

Maria Luisa Zedde (ML)

Neurology Unit, Stroke Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Anna Bersano (A)

Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy. anna.bersano@Istituto-Besta.it.

Classifications MeSH