Department of Anaesthesiology, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain; BioCritic. Group for Biomedical Research in Critical care Medicine, Ramon y Cajal Ave. 7, 47005, Valladolid, Spain.
Unit of Research, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain.
J Clin Anesth. 2021 May;69:110158. doi: 10.1016/j.jclinane.2020.110158. Epub 2020 Dec 7.
To develop and validate a delirium risk prediction preoperative model for patients undergoing cardiac surgery.
Observational prospective multicentre study.
Six intensive care units in Spain.
689 patients undergoing cardiac surgery consecutively, aged ≥18 years.
The primary outcome measure was the development of delirium, diagnosed using the Confusion Assessment Method in Intensive Care Units (CAM-ICU), during the stay in the intensive care unit after cardiac surgery.
The model was developed with 345 consecutive patients undergoing cardiac surgery at six hospitals and validated with another 344 patients from the same hospitals. The prediction model contained four preoperative risk factors: age over 65 years, Mini-Mental State Examination (MMSE) score of 25-26 points (possible impairment of cognitive function) or < 25 (impairment of cognitive function), insomnia needing medical treatment and low physical activity (walk less than 30 min a day). The model had an area under the receiver operating characteristics curve of 0.825 (95% confidence interval: 0.76-0.89). The validation resulted in an area under the curve of 0.79 (0.73-0.85) and the pooled area under the receiver operating characteristics curve (n = 689) was 0.81 (0.76-0.85). We stratified patients in groups of low (0%-20%), moderate (> 20%-40%), high (> 40%-60%) and very high (> 60%) risk of developing delirium, with a positive and negative predictive value for the very high risk group of 70.97% and 85.56%, respectively.
The DELIPRECAS model (DELIrium PREvention CArdiac Surgery), consisting of four well-defined clinical risk factors, can predict in the preoperative period the risk of developing postoperative delirium in patients undergoing cardiac surgery. An automatic version of the risk calculator is available.
为心脏手术患者开发和验证一种术前谵妄风险预测模型。
观察性前瞻性多中心研究。
西班牙 6 个重症监护病房。
连续 689 例接受心脏手术的患者,年龄≥18 岁。
主要结局指标为心脏手术后在重症监护病房住院期间发生谵妄,使用重症监护病房意识模糊评估法(CAM-ICU)进行诊断。
该模型在 6 家医院的 345 例连续心脏手术患者中进行了开发,并在来自同一家医院的另外 344 例患者中进行了验证。预测模型包含四个术前危险因素:年龄>65 岁、简易精神状态检查(MMSE)评分为 25-26 分(可能存在认知功能障碍)或<25 分(认知功能障碍)、需要药物治疗的失眠和低体力活动(每天行走少于 30 分钟)。该模型的受试者工作特征曲线下面积为 0.825(95%置信区间:0.76-0.89)。验证结果的曲线下面积为 0.79(0.73-0.85),689 例患者的汇总受试者工作特征曲线下面积为 0.81(0.76-0.85)。我们将患者分层为低(0%-20%)、中(>20%-40%)、高(>40%-60%)和极高(>60%)发生谵妄风险组,极高风险组的阳性预测值和阴性预测值分别为 70.97%和 85.56%。
由四个明确界定的临床危险因素组成的 DELIPRECAS 模型(心脏手术谵妄预防)可在术前预测心脏手术患者术后发生谵妄的风险。风险计算器的自动版本可用。