Atchison Kayla, Nazir Alaia, Wu Pauline, Seitz Dallas, Watt Jennifer A, Goodarzi Zahra
Department of Medicine University of Calgary Calgary Alberta Canada.
Department of Medicine University of Toronto Toronto Ontario Canada.
Health Sci Rep. 2024 Nov 11;7(11):e70058. doi: 10.1002/hsr2.70058. eCollection 2024 Nov.
Depression is common in persons with dementia and is often under-detected and under-treated. It is critical to understand which available tools accurately detect depression in the context of dementia.
We updated our systematic review completed in 2015. The search strategy of our original review was replicated in Medline, Embase, and PsycINFO. Studies describing the use of a tool to identify depression in persons with dementia, compared to a criterion standard, and reporting diagnostic accuracy outcomes were included in the review update. Pooled prevalence estimates of major depression and pooled estimates of diagnostic accuracy outcomes (i.e., sensitivity [SN], specificity [SP]) for tools were calculated.
Three studies were included of the 8980 returned from the database search and were added to the prior 20 articles from the 2015 review. The Cornell Scale for Depression in Dementia (CSDD), Geriatric Depression Scale (GDS)-15 item, Neuropsychiatric Inventory-Depression items (NPI-D), and Depression in Old Age Scale (DIA-S) were evaluated in the three studies. Two new studies were added to the existing pooled prevalence estimate of major depression (29%, 95% confidence interval [CI] = 21.6%-36.5%, = 17) and pooled diagnostic accuracy estimate for the CSDD at the best cut-off (SN = 0.83, 95% CI = 0.74-0.90; SP = 0.81, 95% CI = 0.69-0.89). New pooled diagnostic accuracy estimates were completed for the CSDD (cut-off ≥12) (SN = 0.61, 95% CI = 0.42-0.77; SP = 0.83, 95% CI = 0.76-0.88), GDS-15 (best cut-off) (SN = 0.65, 95% CI = 0.40-0.83; SP = 0.72, 95% CI = 0.55-0.85), and Montgomery Asberg Depression Rating Scale (MADRS) (best cut-off) (SN = 0.77, 95% CI = 0.67-0.85; SP = 0.68, 95% CI = 0.60-0.75).
The CSDD continues to have the most evidence for depression case finding in persons living with dementia. The CSDD and Hamilton Depression Rating Scale have the highest sensitivities and may be recommended for use over other common tools like the GDS-15 and MADRS. Newly identified tools like the NPI-D and DIA-S require further study before they can be recommended for use in practice.
抑郁症在痴呆症患者中很常见,且常常未被充分检测和治疗。了解哪些现有工具能在痴呆症背景下准确检测出抑郁症至关重要。
我们更新了2015年完成的系统评价。在Medline、Embase和PsycINFO中重复了我们原始评价的检索策略。描述使用一种工具与标准对照来识别痴呆症患者抑郁症并报告诊断准确性结果的研究被纳入此次评价更新。计算了工具的重度抑郁症合并患病率估计值以及诊断准确性结果(即敏感度[SN]、特异度[SP])的合并估计值。
从数据库检索返回的8980项研究中纳入了3项研究,并添加到2015年评价中的之前20篇文章中。三项研究中评估了痴呆症抑郁康奈尔量表(CSDD)、老年抑郁量表(GDS)-15项、神经精神科问卷-抑郁项目(NPI-D)和老年抑郁量表(DIA-S)。两项新研究被添加到现有的重度抑郁症合并患病率估计值(29%,95%置信区间[CI]=21.6%-36.5%, = 17)以及CSDD在最佳临界值时的合并诊断准确性估计值(SN = 0.83,95% CI = 0.74-0.90;SP = 0.81,95% CI = 0.69-0.89)中。完成了CSDD(临界值≥12)(SN = 0.61,95% CI = 0.42-0.77;SP = 0.83,95% CI = 0.76-0.88)、GDS-15(最佳临界值)(SN = 0.65,95% CI = 0.40-0.83;SP = 0.72,95% CI = 0.55-0.85)以及蒙哥马利-艾斯伯格抑郁评定量表(MADRS)(最佳临界值)(SN = 0.77,95% CI = 0.67-0.85;SP = 0.68,95% CI = 0.60-0.75)的新的合并诊断准确性估计值。
CSDD在痴呆症患者抑郁症病例发现方面仍有最多证据。CSDD和汉密尔顿抑郁评定量表具有最高的敏感度,可能比GDS-15和MADRS等其他常用工具更值得推荐使用。像NPI-D和DIA-S这样新发现的工具在被推荐用于实际应用之前需要进一步研究。