Neurosurgical perioperative management of frail elderly patients.


Journal

Bioscience trends
ISSN: 1881-7823
Titre abrégé: Biosci Trends
Pays: Japan
ID NLM: 101502754

Informations de publication

Date de publication:
15 Sep 2023
Historique:
medline: 20 9 2023
pubmed: 28 8 2023
entrez: 27 8 2023
Statut: ppublish

Résumé

With the rapid increase in global aging, the prevalence of frailty is increasing and frailty has emerged as an emerging public health burden. Frail elderly patients suffer from reduced homeostatic reserve capacity, which is associated with a disproportionate decline in physical status after exposure to stress and an increased risk of adverse events. Frailty is closely associated with changes in the volume of the white and gray matter of the brain. Sarcopenia has been suggested to be an important component of frailty, and reductions in muscle strength and muscle mass lead to reductions in physical function and independence, which are critical factors contributing to poor prognosis. Approximately 10-32% of patients undergoing neurological surgery are frail, and the risk of frailty increases with age, which is significantly associated with the occurrence of adverse postoperative events (major complications, total duration of hospitalization, and need for discharge to a nursing facility). The postoperative mortality rate in severely frail patients is 9-11 times higher than that in non-frail individuals. Therefore, due attention must be paid to neurosurgical frailty and muscle assessment in elderly patients. Specialized interventions in the perioperative period of neurosurgery in frail elderly patients may improve their postoperative prognosis.

Identifiants

pubmed: 37635083
doi: 10.5582/bst.2023.01208
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

271-282

Auteurs

Xiqi Hu (X)

Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine Haikou, China.
Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.

Yanan Ma (Y)

Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Department of Gastroenterology, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.

Xuemei Jiang (X)

Department of Gastroenterology, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.

Wei Tang (W)

International Health Care Center, National Center for Global Health and Medicine, Tokyo, Japan.

Ying Xia (Y)

Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine Haikou, China.

Peipei Song (P)

Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.

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Classifications MeSH