Division of Geriatrics, and Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
JAMA. 2010 Aug 18;304(7):779-86. doi: 10.1001/jama.2010.1182.
Delirium occurs in many hospitalized older patients and has serious consequences including increased risk for death and admission to long-term care. Despite its importance, health care clinicians often fail to recognize delirium. Simple bedside instruments may lead to improved identification.
To systematically review the evidence on the accuracy of bedside instruments in diagnosing the presence of delirium in adults.
Search of MEDLINE (from 1950 to May 2010), EMBASE (from 1980 to May 2010), and references of retrieved articles to identify studies of delirium among inpatients.
Prospective studies of diagnostic accuracy that compared at least 1 delirium bedside instrument to the Diagnostic and Statistical Manual of Mental Disorders-based diagnosis made by a geriatrician, psychiatrist, or neurologist.
There were 6570 unique citations identified with 25 prospectively conducted studies (N = 3027 patients) meeting inclusion criteria and describing use of 11 instruments. Positive results that suggested delirium with likelihood ratios (LRs) greater than 5.0 were present for the Global Attentiveness Rating (GAR), Memorial Delirium Assessment Scale (MDAS), Confusion Assessment Method (CAM), Delirium Rating Scale Revised-98 (DRS-R-98), Clinical Assessment of Confusion (CAC), and Delirium Observation Screening Scale (DOSS). Normal results that decreased the likelihood of delirium with LRs less than 0.2 were calculated for the GAR, MDAS, CAM, DRS-R-98, Delirium Rating Scale (DRS), DOSS, Nursing Delirium Screening Scale (Nu-DESC), and Mini-Mental State Examination (MMSE). The Digit Span test and Vigilance "A" test in isolation have limited utility in diagnosing delirium. Considering the instrument's ease of use, test performance, and clinical importance of the heterogeneity in the confidence intervals (CIs) of the LRs, the CAM has the best available supportive data as a bedside delirium instrument (summary-positive LR, 9.6; 95% CI, 5.8-16.0; summary-negative LR, 0.16; 95% CI, 0.09-0.29). Of all scales, the MMSE (score <24) was the least useful for identifying a patient with delirium (LR, 1.6; 95% CI, 1.2-2.0).
The choice of instrument may be dictated by the amount of time available and the discipline of the examiner; however, the best evidence supports use of the CAM, which takes 5 minutes to administer.
谵妄发生于许多住院老年患者中,会导致严重后果,包括死亡风险增加和需要入住长期护理机构。尽管其重要性不言而喻,但医护人员常常无法识别谵妄。简单的床边工具可能有助于提高识别率。
系统评价床边工具诊断成人谵妄的准确性。
检索 MEDLINE(1950 年至 2010 年 5 月)、EMBASE(1980 年至 2010 年 5 月),以及检索到的文章参考文献,以确定住院患者中谵妄的研究。
前瞻性研究准确性,比较了至少 1 种谵妄床边工具与老年病学家、精神科医生或神经科医生基于精神疾病诊断与统计手册(DSM)的诊断。
共识别出 6570 个独特的引用,25 项前瞻性研究(N=3027 例患者)符合纳入标准,描述了 11 种工具的使用情况。阳性结果(提示有谵妄,似然比[LR]大于 5.0)出现在总体警觉性评定量表(GAR)、记忆谵妄评定量表(MDAS)、意识模糊评估法(CAM)、修订后 98 项谵妄评定量表(DRS-R-98)、临床意识混乱评估量表(CAC)和谵妄观察筛查量表(DOSS)中。LR 小于 0.2 的正常结果(提示不太可能发生谵妄)计算为 GAR、MDAS、CAM、DRS-R-98、谵妄评定量表(DRS)、DOSS、护理谵妄筛查量表(Nu-DESC)和简易精神状态检查量表(MMSE)。数字跨度测试和警觉性“A”测试单独使用时,对诊断谵妄的作用有限。考虑到工具的易用性、测试性能和诊断异质性的置信区间(CI)的临床重要性,CAM 作为床边谵妄诊断工具具有最佳的支持数据(综合阳性 LR,9.6;95%CI,5.8-16.0;综合阴性 LR,0.16;95%CI,0.09-0.29)。在所有量表中,MMSE(评分<24)最不适合识别谵妄患者(LR,1.6;95%CI,1.2-2.0)。
仪器的选择可能取决于可用时间的多少和检查者的专业领域;然而,最佳证据支持使用 CAM,其评估时间为 5 分钟。