Predicting activities after stroke: what is clinically relevant?

被引:268
作者
Kwakkel, G. [1 ,2 ,3 ]
Kollen, B. J. [4 ]
机构
[1] Vrije Univ Amsterdam Med Ctr, Dept Rehabil Med, Res Inst MOVE, NL-1081 HV Amsterdam, Netherlands
[2] Rehabil Ctr Hoogstr, Ctr Excellence Rehabil Med, Utrecht, Netherlands
[3] UMC, Rudolf Magnus Inst Neurosci, Dept Rehabil & Sports Med, Utrecht, Netherlands
[4] Univ Groningen, Univ Med Ctr Groningen, Dept Gen Practice, NL-9700 AB Groningen, Netherlands
关键词
activities; prognosis; stroke; INDUCED MOVEMENT THERAPY; UPPER EXTREMITY FUNCTION; CEREBRAL-ARTERY STROKE; MOTOR RECOVERY; FUNCTIONAL RECOVERY; ISCHEMIC-STROKE; UPPER-LIMB; ARM FUNCTION; LONG-TERM; FOLLOW-UP;
D O I
10.1111/j.1747-4949.2012.00967.x
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Knowledge about factors that determine the final outcome after stroke is important for early stroke management, rehabilitation goals, and discharge planning. This narrative review provides an overview of current knowledge about the prediction of activities after stroke. We reviewed the pattern of stroke recovery for functions and activities, the impact of spontaneous recovery on activities, and the measurement of improvement in general. We explored the activities profiles during the chronic phase and predictors for activities of daily living independence after stroke, and finally, we discussed where to from here? Mathematical regularities explain the nonlinear patterns of recovery, making the outcome of activities of daily living highly predictable. Initial severity of disability and extent of improvement observed within the first weeks poststroke are important indicators of the outcome at six-months. The sequence of progress in activities is almost fixed in time. Studies showed that most motor recovery is almost completed within 10 weeks poststroke. On average, stroke recovery plateaus three- to six-months after onset. Strong evidence was found that age and scores on scales assessing severity of neurological deficits in the early poststroke phase are strongly associated with the final basic activities of daily living outcome after three-months poststroke. The validated prediction models using simple algorithms, such as National Institutes of Health Stroke Scale or Barthel Index, need to be implemented in rehabilitation services and used for stratifying stroke patients in trials. Future studies should investigate the accuracy of dynamic models that includes time poststroke to optimize the application of prediction rules in individuals with stroke.
引用
收藏
页码:25 / 32
页数:8
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