Risk assessment of perioperative neurocognitive disorders, where are we now?

医学 神经认知 围手术期 谵妄 过度拟合 接收机工作特性 发作性谵妄 认知 重症监护医学 精神科 麻醉 内科学 机器学习 人工神经网络 计算机科学
作者
Martin Soehle,Mark Coburn
出处
期刊:Current Opinion in Anesthesiology [Lippincott Williams & Wilkins]
卷期号:35 (3): 409-418 被引量:4
标识
DOI:10.1097/aco.0000000000001120
摘要

Purpose of review Perioperative neurocognitive disorders (PNDs) are among the most frequent complications after surgery and are associated with considerable morbidity and mortality. We analysed the recent literature regarding risk assessment of PND. Recent findings Certain genetic variants of the cholinergic receptor muscarinic 2 and 4, as well as a marked degree of frailty but not the kind of anaesthesia (general or spinal) are associated with the risk to develop postoperative delirium (POD). Models predict POD with a discriminative power, for example, area under the receiver operating characteristics curve between 0.52 and 0.94. Summary Advanced age as well as preexisting cognitive, functional and sensory deficits remain to be the main risk factors for the development of PND. Therefore, aged patients should be routinely examined for both preexisting and new developing deficits, as recommended in international guidelines. Appropriate tests should have a high discrimination rate, be feasible to be administered by staff that do not require excessive training, and only take a short time to be practical for a busy outpatient clinic. Models to predict PND, should be validated appropriately (and externally if possible) and should not contain a too large number of predictors to prevent overfitting of models.

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