An update on postoperative delirium: Clinical features, neuropathogenesis, and perioperative management.

• Type of Material: Article
• Authors: Seyed A. Safavynia, Weill Cornell Medical College; Sona Arora, Emory University; Kane O. Pryor, Weill Cornell Medical College; Paul S. García, Emory University
• Language: English
• Date: 2018-07-04
• Publisher: Springer (part of Springer Nature): Springer Open Choice Hybrid Journals
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: 2018
• Final Published Version (URL): http://dx.doi.org/10.1007/s40140-018-0282-5
• Title of Journal or Parent Work: Current Anesthesiology Reports
• ISSN: 1523-3855
• Volume: 8
• Issue: 3
• Start Page: 252
• End Page: 262
• Keywords: Postoperative delirium; Cortical integration of complex information (CICI); Electroencephalography (EEG); Aging; Anesthesiology; Functional connectivity
• Research Categories: Biology, Neuroscience; Health Sciences, Medicine and Surgery

Abstract

Purpose of Review: We present a focused review on postoperative delirium for anesthesiologists, encompassing clinical features, neuropathogenesis, and clinical identification and management strategies based on risk factors and current delirium treatments. Recent Findings: The literature on postoperative delirium is dominated by non-experimental studies. We review delirium phenotypes, diagnostic criteria, and present standard nomenclature based on current literature. Disruption of cortical integration of complex information (CICI) may provide a framework to understand the neuropathogenesis of postoperative delirium, as well as risk factors and clinical modifiers in the perioperative period. We further divide risk factors into patient factors, surgical factors, and medical/pharmacological factors, and present specific considerations for each in the preoperative, intraoperative, and postoperative periods. Summary: Postoperative delirium is prevalent, poorly understood, and often missed with current screening techniques. Proper identification of risk factors is useful for perioperative interventions and can help tailor patient-specific management strategies.