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脑卒中后性风险因素:一项回顾性研究

Chuanxi Zhu1, Lingxu Li1, Long Qiu1,2

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概括

脑卒中后性 (PSS) 是常见的和残疾的. 关键的危险因素包括基底腺的病变,病变体积和NIHSS得分,使早期检测和治疗成为可能.

关键词:
影响因素是影响因素.在中风后的性.这是一项回顾性研究.性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性,性等.一次性中风中风中风中风中风

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科学领域:

  • 神经学 神经学
  • 脑卒中康复治疗 脑卒中康复治疗
  • 临床医学 临床医学

背景情况:

  • 脑卒中后性 (PSS) 是中风后的常见并发症,对长期残疾有很大影响.
  • 早期检测和治疗对于管理PSS和减轻其功能影响至关重要.
  • 识别PSS的风险因素可以促进及时干预并改善患者的治疗结果.

研究的目的:

  • 为了确定中风后性 (PSS) 发展的独立风险因素.
  • 开发一种用于中风患者PSS的预测模型.
  • 帮助早期发现和管理PSS.

主要方法:

  • 追溯性研究分析了2020年6月至2020年11月期间入院的257名中风患者.
  • 患者被分为性 (101例) 和非性 (156例) 组.
  • 使用多变量逻辑回归和ROC曲线分析来识别风险因素并评估模型的合适性.

主要成果:

  • 基底质病变 (出血或心脏病发作),病变体积和NIHSS得分被确定为PSS的独立风险因素 (p <0.05).
  • 使用这些因素开发了PSS的预测模型:Logit(P) = 1.595 * 基底质 + 0.084 * 心脏病发作量 + 0.208 * NIHSS得分 - 2.092.
  • 风险预测模型表现出很高的匹配度,AUC为0.786 (95% CI:0.730-0.843).

结论:

  • 基底腺损伤部位,损伤体积和NIHSS分数是中风后性严重的独立风险因素.
  • 开发的风险预测模型显示了确定中风患者患有性风险更高的前景.
  • 这些发现支持PSS管理的"早期检测,早期治疗"共识.