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Short and long term depressive symptoms and arrhythmic pathways to stroke

Short and long term depressive symptoms and arrhythmic pathways to stroke
短期和长期抑郁症状以及心律失常导致中风的途径
批准号:
8409846
负责人:
Paola Gilsanz
金额:
$3.02万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

项目摘要

项目成果

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中文摘要
翻译
描述(由申请人提供):新出现的证据表明,抑郁症状的增加预示着中风的发生。然而,目前还不清楚这种关系是否是因果关系,如果是的话,这种影响是否会被抑郁症状的持续时间或强度所改变。此外,尽管进行了大量研究,我们仍无法建立抑郁症与中风之间的联系机制。解决这些研究问题对于了解抑郁症状的临床治疗至关重要。它还有助于阐明调节抑郁和中风之间联系的生理或行为机制,以确定其他干预机会。先前的研究表明,抑郁或抑郁症状可能通过几种途径影响中风,包括健康行为(如吸烟、体力活动)或生理过程调节失调(如心脏功能自主调节、炎症反应)。这些机制中的许多将在长期的时间尺度上运行,病理生理学(例如动脉粥样硬化)随着时间的推移而积累。如果只是将抑郁和中风联系在一起的长期机制,对抑郁症状的治疗不会立即降低中风风险;相反,好处将随着多年成功的症状管理而发展。然而,如果因果机制在短期内发挥作用,中断一些假设的机制可能会在抑郁症状缓解后降低中风风险,从而几乎立即带来好处。此外,目前尚不清楚抗抑郁药物是否会影响中风的风险。关于健康行为和炎症反应的研究还没有确定这些因素是否完全调节了抑郁和中风之间的关系。虽然之前没有研究评估心房颤动(房颤)是否在抑郁和中风之间起中介作用,但越来越多的研究正在研究情绪对房颤的影响。作为最常见的心律失常和众所周知的卒中危险因素,我们将探讨房颤作为一种可能的介体的作用。我们建议使用两个相辅相成的纵向研究--健康与退休研究(HRS)和心血管健康研究(CHS)--的数据来检验两个目标。这项建议的第一个目的是确定抑郁症状的哪些特征(例如持续时间和严重程度)最能预测美国中老年人所有中风类型的首次发病率。我们的第二个目标是研究心房颤动作为抑郁症状和缺血性卒中发病之间关系的部分中介。识别预测中风的抑郁症状的特征和潜在的病因可以帮助卫生从业者和识别中风风险更高的患者。确定心房颤动是否是抑郁症和卒中之间关系的中介因素具有重要的临床意义,因为它可以为高危患者的治疗计划提供信息。
英文摘要
DESCRIPTION (provided by applicant): Emerging evidence suggests that elevated depressive symptoms predict stroke onset. However, it remains unclear whether this relationship is causal and, if so, whether the effects are modified by the duration or intensity of depressive symptoms. Furthermore, despite substantial research, we have not been able to establish the mechanisms linking depression and stroke. Addressing these research questions is critical to inform clinical management of depressive symptoms. It also is useful in elucidating the physiological or behavioral mechanisms mediating the link between depression and stroke to identify other opportunities for intervention. Previous research suggests several possible pathways via which depression or depressive symptoms could influence stroke, including health behaviors (e.g. smoking, physical activity) or dysregulation of physiologic processes (e.g. autonomic regulation of cardiac function, inflammatory responses). Many of these mechanisms would operate over a long term time-scale, with pathophysiology (e.g. atherosclerosis) accumulating over years. If only long-term mechanisms link depression and stroke, treatment of depressive symptoms would not be expected to reduce stroke risk immediately; benefits would instead develop over years of successful symptom management. However, if causal mechanisms exert their effects in the short term, interruption of some hypothesized mechanisms might allow nearly immediate benefits by reducing stroke risk after resolution of depressive symptoms. Furthermore, it remains unclear if antidepressant medication affects the risk of stroke. The research on health behaviors and inflammation response has not conclusively established whether these factors fully mediate the relationship between depression and stroke. While no prior research has assessed whether atrial fibrillation (AF) mediates the relationship between depression and stroke, a growing number of studies are examining the impact of mood on AF. As the most common cardiac arrhythmia and a well-known risk factor of stroke, we will examine AF's role as a possible mediator. We propose using data from two complementary longitudinal studies, the Health and Retirement Study (HRS) and the Cardiovascular Health Study (CHS), to examine two aims. The first aim of this proposal is to determine what characteristics (e.g. duration and severity) of depressive symptoms best predict first incidence of all stroke types among middle aged and elderly individuals in the United States. Our second aim is to examine atrial fibrillation as a partial mediator of the association between depressive symptoms and onset of ischemic stroke. The identification of characteristics of depressive symptoms that predict stroke and the underlying etiology can help health practitioners and identify patients at greater risk for stroke. Indentifying whether atrial fibrillation is a mediating factor in the relationship between depression and stroke is clinically important as it may inform treatment plans of at risk patients.
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