- VernacularTitle:多病共存患者的围术期麻醉管理:挑战与机遇
- Author:
Muhuo JI
1
;
Xiaoyi HU
;
Jianjun YANG
Author Information
- Keywords: Multimorbidity; Artificial intelligence; Perioperative period; Big data
- From: The Journal of Clinical Anesthesiology 2024;40(11):1125-1129
- CountryChina
- Language:Chinese
- Abstract: The intensifying aging of the population has led to a growing severity of multimorbidity,significantly impacting patients'quality of life.Current anesthetic management approaches primarily target individual diseases,which struggle to effectively address the complexity of multimorbidity.This article re-views the concept and research status of multimorbidity,analyzes the interconnections among aging,multi-morbidity,and frailty,and discusses the influence of multimorbidity on perioperative risks.For patients with multimorbidity,the article proposes perioperative management strategies encompassing preoperative assess-ment,multidisciplinary collaboration,personalized anesthesia plans,intraoperative monitoring,and postop-erative care.Furthermore,the article underscores the shift from single-disease assessments to comprehensive multimorbidity assessment frameworks,and explores novel management models utilizing big data and artificial intelligence to enhance surgical safety and improve patient prognosis.