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Dr. Surtees Replies.瑟蒂斯博士回复。
Am J Psychiatry. 2008 Sep 1;165(9):1204. doi: 10.1176/appi.ajp.2008.08040523r.
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Subclinical cerebrovascular disease in mild cognitive impairment.轻度认知障碍中的亚临床脑血管疾病
Neurology. 2009 Aug 11;73(6):450-6. doi: 10.1212/WNL.0b013e3181b1636a.
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Sleep-disordered breathing and acute stroke.睡眠呼吸障碍与急性中风
Cerebrovasc Dis. 2009;27 Suppl 1:104-10. doi: 10.1159/000200447. Epub 2009 Apr 3.
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Level and change in cognitive test scores predict risk of first stroke.认知测试分数的水平及变化可预测首次中风的风险。
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Can self-reported strokes be used to study stroke incidence and risk factors?: evidence from the health and retirement study.自我报告的中风情况能否用于研究中风发病率及风险因素?:来自健康与退休研究的证据。
Stroke. 2009 Mar;40(3):873-9. doi: 10.1161/STROKEAHA.108.529479. Epub 2009 Jan 15.
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The autonomic nervous system and ischemic stroke: a reciprocal interdependence.自主神经系统与缺血性中风:一种相互依存关系。
Clin Auton Res. 2008 Dec;18(6):308-17. doi: 10.1007/s10286-008-0495-7. Epub 2008 Oct 11.
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Severely depressed young patients have over five times increased risk for stroke: a 5-year follow-up study.重度抑郁的年轻患者中风风险增加逾五倍:一项5年随访研究。
Biol Psychiatry. 2008 Nov 15;64(10):912-5. doi: 10.1016/j.biopsych.2008.07.006. Epub 2008 Aug 21.
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The HPA axis in major depression: classical theories and new developments.重度抑郁症中的下丘脑-垂体-肾上腺轴:经典理论与新进展
Trends Neurosci. 2008 Sep;31(9):464-8. doi: 10.1016/j.tins.2008.06.006. Epub 2008 Jul 31.
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Acute ischaemic stroke and infection: recent and emerging concepts.急性缺血性中风与感染:最新及新出现的概念
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Psychological distress, major depressive disorder, and risk of stroke.心理困扰、重度抑郁症与中风风险
Neurology. 2008 Mar 4;70(10):788-94. doi: 10.1212/01.wnl.0000304109.18563.81.

抑郁症状可独立于记忆障碍预测中风事件。

Depressive symptoms predict incident stroke independently of memory impairments.

机构信息

Department of Society, Harvard School of Public Health, Boston, MA 02115, USA.

出版信息

Neurology. 2010 Dec 7;75(23):2063-70. doi: 10.1212/WNL.0b013e318200d70e.

DOI:10.1212/WNL.0b013e318200d70e
PMID:21135381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2995534/
Abstract

BACKGROUND

We evaluated whether depressive symptoms predict the onset of first stroke independently of memory impairment. We conceptualized memory impairment as a marker of preexisting cerebrovascular disease. We hypothesized that if depressive symptoms are causally related to stroke through mechanisms unrelated to cerebrovascular disease, depressive symptoms should predict stroke independently of memory impairment.

METHODS

Incidence of first stroke was assessed with self or proxy reports from 19,087 participants in the Health and Retirement Study cohort (1,864 events). Elevated depressive symptoms (3+ on an 8-item Centers for the Epidemiologic Study of Depression scale) and memory impairment (score of ≤6 on a combined immediate and delayed recall of a 10-word list) were used as predictors of incident stroke in Cox survival models with adjustment for sociodemographic and cardiovascular risk factors.

RESULTS

After adjustment for sociodemographic and cardiovascular risk factors, elevated depressive symptoms (hazard ratio = 1.25; 95% confidence interval 1.12-1.39) and memory impairment (hazard ratio = 1.26; 95% confidence interval 1.13-1.41) each predicted stroke incidence in separate models. Hazard ratios were nearly unchanged and remained significant (1.23 for elevated depressive symptoms and 1.25 for memory impairment) when models were simultaneously adjusted for both elevated depressive symptoms and memory impairment. Elevated depressive symptoms also predicted stroke when restricting analyses to individuals with median memory score or better.

CONCLUSIONS

Memory impairments and depressive symptoms independently predict stroke incidence. Memory impairment may reflect undiagnosed cerebrovascular disease. These results suggest that depressive symptoms might be directly related to stroke rather than merely indicating preexisting cerebrovascular disease.

摘要

背景

我们评估了抑郁症状是否独立于记忆障碍预测首发中风的发生。我们将记忆障碍概念化为预先存在的脑血管疾病的标志物。我们假设,如果抑郁症状通过与脑血管疾病无关的机制与中风有关,那么抑郁症状应该独立于记忆障碍预测中风。

方法

通过健康与退休研究队列(19087 名参与者,1864 例事件)的自我或代理报告评估首发中风的发生率。使用 8 项中心流行病学研究抑郁量表中的 3 个或更多项来评估抑郁症状升高,以及使用即时和延迟回忆 10 个单词列表的组合得分≤6 来评估记忆障碍,作为 Cox 生存模型中预测事件性中风的指标,该模型调整了社会人口统计学和心血管危险因素。

结果

在调整社会人口统计学和心血管危险因素后,抑郁症状升高(危险比=1.25;95%置信区间 1.12-1.39)和记忆障碍(危险比=1.26;95%置信区间 1.13-1.41)在单独的模型中均预测中风的发生率。当同时调整抑郁症状升高和记忆障碍时,危险比几乎不变且仍然显著(抑郁症状升高为 1.23,记忆障碍为 1.25)。当将分析限制在中位数记忆评分或更高的个体中时,抑郁症状也预测了中风。

结论

记忆障碍和抑郁症状独立预测中风的发生率。记忆障碍可能反映了未诊断的脑血管疾病。这些结果表明,抑郁症状可能与中风直接相关,而不仅仅是表明预先存在的脑血管疾病。