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卒中后痉挛的早期临床预测指标。

Early clinical predictors of post stroke spasticity.

机构信息

Department of Neurology, Charité University Medicine Berlin, Berlin, Germany.

Department of Neurology and Rehabilitation Center, Neurological Rehabilitation and Physical Therapy, Vivantes Klinikum Spandau, Berlin, Germany.

出版信息

Top Stroke Rehabil. 2021 Oct;28(7):508-518. doi: 10.1080/10749357.2020.1843845. Epub 2020 Nov 6.

DOI:10.1080/10749357.2020.1843845
PMID:33156735
Abstract

: Up to 40% of stroke patients with paresis develop post-stroke spasticity (PSS), which induces difficult complications including pain, contracture, posture disorder. The most important factor for PSS management is its early initiation, so that early recognition of PSS is required in clinical practice.: This prospective observational cohort study was conducted with a high standard of PSS assessment and a comprehensive protocol investigating possible predictive factors to identify early predictors of PSS already in the acute phase following stroke (<7 days). PSS was assessed with the Resistance to Passive movement Scale (REPAS) for major joint movements in upper- and lower limbs, based on Ashworth scale, within 7 days following stroke and after 3 months. Binary logistic regression analysis with significant clinical parameters was applied with 95% of confidence intervals (CI) to find predictors of PSS.: Of 145 consecutive first-ever stroke patients, 34 patients (23.4%) exhibited PSS. The Modified Rankin Scale (MRS), National Institutes of Health Stroke Scale (NIHSS), and Mini-Mental State Examination (MMSE) were revealed as strong clinical predictors of PSS. The combination of an MRS >2 (Odds Ratio (OR): 56.538, 95% : 17.150-186.394), NIHSS >2 (OR: 57.137, 95% :15.685-208.142) and MMSE <27 (OR: 6.133, 95% :2.653-14.178) showed positive predictive (95.2%) value for prediction of PSS (sensitivity 94.4%, specificity 93.3%).: Besides evaluating PSS itself with a reliable and valid rating scale the common clinical scales in stroke units practice (NIHSS, MRS, MMSE) allow early identification of patients at high risk for PSS.

摘要

高达 40%的偏瘫中风患者会出现中风后痉挛(PSS),这会导致疼痛、挛缩、姿势障碍等严重并发症。PSS 管理最重要的因素是早期开始,因此需要在临床实践中早期识别 PSS。

这项前瞻性观察队列研究采用了 PSS 评估的高标准和全面的方案,调查了可能的预测因素,以确定中风后 7 天内(急性阶段)的 PSS 早期预测指标。使用基于 Ashworth 量表的上、下肢主要关节运动的被动运动阻力量表(REPAS)评估 PSS,在中风后 7 天内和 3 个月后进行评估。应用二元逻辑回归分析,置信区间为 95%,结合有意义的临床参数,以发现 PSS 的预测指标。

在 145 例连续首次中风患者中,有 34 例(23.4%)出现 PSS。改良 Rankin 量表(MRS)、美国国立卫生研究院中风量表(NIHSS)和简易精神状态检查(MMSE)被认为是 PSS 的强烈临床预测指标。MRS>2(优势比(OR):56.538,95%:17.150-186.394)、NIHSS>2(OR:57.137,95%:15.685-208.142)和 MMSE<27(OR:6.133,95%:2.653-14.178)的组合对 PSS 的预测具有阳性预测值(95.2%)(敏感性 94.4%,特异性 93.3%)。

除了使用可靠有效的评分量表评估 PSS 本身外,中风单元实践中的常用临床量表(NIHSS、MRS、MMSE)还可以早期识别出 PSS 高风险患者。

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