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The Stroke Data Bank (SDB) is a systematic prospective study of the diagnosis, clinical course, and outcome of a large series of stroke cases. The SDB uses an interdisciplinary approach, with neurologists, nurse clinicians, epidemiologists, statisticians, and computer scientists collaborating to study stroke research issues, including diagnosis of stroke subtypes, characterization of the course and outcome of each stroke type, and identification of nonclinical factors that influence outcome. Research questions germaine to nursing management of stroke patients include: the identification of acute stroke patients likely to develop life-threatening or recovery-impeding complications; assessment of the impact of stroke on ability to perform activities of daily living; determination of how depression affects functional recovery; and identification of quantifiable measures of stroke outcome.
中风数据库(SDB)是对大量中风病例的诊断、临床病程及预后进行的一项系统性前瞻性研究。SDB采用跨学科方法,由神经科医生、护士临床专家、流行病学家、统计学家和计算机科学家合作,研究中风研究问题,包括中风亚型的诊断、每种中风类型病程和预后的特征描述,以及识别影响预后的非临床因素。与中风患者护理管理密切相关的研究问题包括:识别可能发生危及生命或阻碍康复并发症的急性中风患者;评估中风对日常生活活动能力的影响;确定抑郁症如何影响功能恢复;以及确定中风预后的可量化指标。