Daoud Alia, Duff Jonathan P, Joffe Ari R
Crit Care. 2014 Sep 26;18(5):489. doi: 10.1186/s13054-014-0489-x.
Delirium is common in adult intensive care, with validated tools for measurement, known risk factors and adverse neurocognitive outcomes. We aimed to determine what is known about pediatric delirium in the pediatric intensive care unit (PICU).
We conducted a systematic search for and review of studies of the accuracy of delirium diagnosis in children in the PICU. Secondary aims were to determine the prevalence, risk factors and outcomes associated with pediatric delirium. We created screening and data collection tools based on published recommendations.
After screening 145 titles and abstracts, followed by 35 full-text publications and reference lists of included publications, 9 reports of 5 studies were included. Each of the five included studies was on a single index test: (1) the Pediatric Anesthesia Emergence Delirium Scale (PAED; for ages 1 to 17 years), (2) the Pediatric Confusion Assessment Method for the Intensive Care Unit (p-CAM-ICU; for ages ≥ 5 years), (3) the Cornell Assessment of Pediatric Delirium (CAP-D; a modification of the PAED designed to detect hypoactive delirium), (4) the revised Cornell Assessment of Pediatric Delirium (CAP-D(R)) and (5) clinical suspicion. We found that all five studies had a high risk of bias on at least one domain in the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Sample size, sensitivity, specificity, and effectiveness (correct classification divided by total tests done) were: PAED 144, 91%, 98%, <91% (>16% of scores required imputation for missing data); p-CAM 68, 78%, 98%, 96%; CAP-D 50, 91%, 100%, 89%; CAP-D (R) 111, and of assessments 94%, 79%, <82% (it is not clear if any assessments were not included); and clinical suspicion 877, N/A (only positive predictive value calculable, 66%). Prevalence of delirium was 17%, 13%, 28%, 21%, and 5% respectively. Only the clinical suspicion study researchers statistically determined any risk factors for delirium (pediatric risk of mortality, pediatric index of mortality, ventilation, age) or outcomes of delirium (length of stay and mortality).
High-quality research to determine the accuracy of delirium screening tools in the PICU are required before prevalence, risk factors and outcomes can be determined and before a routine screening tool can be recommended. Direct comparisons of the p-CAM-ICU and CAP-D(R) should be performed.
谵妄在成人重症监护中很常见,有经过验证的测量工具、已知的风险因素和不良神经认知结局。我们旨在确定关于儿科重症监护病房(PICU)中儿童谵妄的已知情况。
我们对PICU中儿童谵妄诊断准确性的研究进行了系统检索和综述。次要目的是确定与儿童谵妄相关的患病率、风险因素和结局。我们根据已发表的建议创建了筛查和数据收集工具。
在筛选了145篇标题和摘要,随后筛选了35篇全文出版物以及纳入出版物的参考文献列表后,纳入了5项研究的9份报告。纳入的五项研究中的每一项都针对单一指标测试:(1)小儿麻醉苏醒谵妄量表(PAED;适用于1至17岁),(2)小儿重症监护病房意识模糊评估方法(p-CAM-ICU;适用于≥5岁),(3)康奈尔小儿谵妄评估量表(CAP-D;PAED的一种修改版,旨在检测活动减退型谵妄),(4)修订后的康奈尔小儿谵妄评估量表(CAP-D(R)),以及(5)临床怀疑。我们发现,在诊断准确性研究质量评估-2(QUADAS-2)的至少一个领域中,所有五项研究都有很高的偏倚风险。样本量、敏感性、特异性和有效性(正确分类除以总测试次数)分别为:PAED 144,91%,98%,<91%(>16%的分数需要对缺失数据进行插补);p-CAM 68,78%,98%,96%;CAP-D 50,91%,100%,89%;CAP-D (R) 111,以及评估中的94%,79%,<82%(不清楚是否有评估未包括在内);以及临床怀疑877,无可用数据(仅可计算阳性预测值,66%)。谵妄的患病率分别为17%、13%、28%、21%和5%。只有临床怀疑研究的研究人员从统计学上确定了谵妄的任何风险因素(小儿死亡风险、小儿死亡指数、通气、年龄)或谵妄的结局(住院时间和死亡率)。
在确定患病率、风险因素和结局以及推荐常规筛查工具之前,需要进行高质量的研究来确定PICU中谵妄筛查工具的准确性。应进行p-CAM-ICU和CAP-D(R)的直接比较。