| 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 reviews the concept and research status of multimorbidity, analyzes the interconnections among aging, multimorbidity, and frailty, and discusses the influence of multimorbidity on perioperative risks. For patients with multimorbidity, the article proposes perioperative management strategies encompassing preoperative assessment, multidisciplinary collaboration, personalized anesthesia plans, intraoperative monitoring, and postoperative 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. |
