Carrasco Marcela P, Villarroel Luis, Andrade Maricarmen, Calderón Jorge, González Matías
Internal Medicine, Geriatric Unit, Medical Faculty, Pontificia Universidad Católica de Chile, Santiago de Chile, RM, Chile.
Age Ageing. 2014 May;43(3):346-51. doi: 10.1093/ageing/aft141. Epub 2013 Sep 24.
delirium is frequently under diagnosed in older hospitalised patients. Predictive models have not been widely incorporated in clinical practice.
to develop and validate a predictive score for incident delirium.
two consecutive observational prospective cohorts (development and validation) in a university affiliated hospital.
inpatients 65 years and older.
in the development cohort patients were assessed within the first 48 h of admission, and every 48 h thereafter, using the confusion assessment method to diagnose delirium and data were collected on comorbidity, illness severity, functional status and laboratory. Delirium predictive score (DPS) was constructed in the development cohort using variables associated with incident delirium in the multivariate analysis (P < 0.05), and then tested in a validation cohort of comparable patients, admitted without delirium. Receiver operating characteristic (ROC) analysis and likelihood ratio (LR) were calculated.
the development cohort included 374 patients, incident delirium occurred in 25. After multivariate analysis incident delirium was independently associated with lower functional status (Barthel Index) and a proxy for dehydration (elevated urea to creatinine ratio). Using these variables, DPS was constructed with a performance in the ROC curve area of 0.86 (95% CI: 0.82-0.91) and (-) LR = 0.16 and (+) LR = 3.4. The validation cohort included 104 patients and the performance of the score was ROC 0.78 (95% CI: 0.66-0.90).
This simple predictive model highlights functional status and a proxy for dehydration as a useful tool for identifying older patients that may benefit from close monitoring and preventive care for early diagnosis of delirium.
老年住院患者中谵妄常未得到充分诊断。预测模型尚未广泛应用于临床实践。
开发并验证一种新发谵妄的预测评分。
在一家大学附属医院进行的两个连续的观察性前瞻性队列研究(开发和验证)。
65岁及以上的住院患者。
在开发队列中,患者在入院后的头48小时内进行评估,此后每48小时评估一次,使用意识模糊评估法诊断谵妄,并收集合并症、疾病严重程度、功能状态和实验室检查数据。在开发队列中,使用多变量分析中与新发谵妄相关的变量(P < 0.05)构建谵妄预测评分(DPS),然后在无谵妄入院的可比患者验证队列中进行测试。计算受试者工作特征(ROC)分析和似然比(LR)。
开发队列包括374例患者,25例发生新发谵妄。多变量分析后,新发谵妄与较低的功能状态(Barthel指数)和脱水指标(尿素肌酐比值升高)独立相关。使用这些变量构建的DPS在ROC曲线下面积为0.86(95%CI:0.82 - 0.91),阴性似然比(-)LR = 0.16,阳性似然比(+)LR = 3.4。验证队列包括104例患者,该评分的ROC为0.78(95%CI:0.66 - 0.90)。
这个简单的预测模型突出了功能状态和脱水指标,可作为识别老年患者的有用工具,这些患者可能受益于密切监测和预防性护理以早期诊断谵妄。