脑卒中后抑郁风险预测模型的研究进展

Recent advance in risk prediction models of post-stroke depression

脑卒中后抑郁(PSD)是脑卒中后常见的并发症,严重影响患者生存质量,早发现、早治疗可明显改善脑卒中患者的抑郁状况。现有的PSD风险预测模型多基于临床危险因素、患者社会心理因素、影像学因素、生物学标志物及中医证候因素建立,本文现围绕模型的建立过程、预测性能、不足之处及发展趋势综述如下。

Post-stroke depression(PSD)is a common complication after stroke,which seriously affects the quality of life of these patients.Early detection and early treatment can obviously improve the depression of stroke patients.Existing PSD risk prediction models are mostly established based on clinical risk factors,patients'psychosocial factors,imaging factors,biological markers and traditional Chinese medicine syndrome differentiation factors.In this paper,the establishment process,prediction performance,deficiencies and development trend of the models are summarized as follows.