脑卒中后抑郁预测量表联合简版早期脑卒中后抑郁筛查量表对卒中后抑郁的预测价值  

Predictive value of Post-stroke Depression Prediction Scale combined with the Early Symptom Measurement of Post-Stroke Depression-Short Form for post-stroke depression

作　　者：朱新兰 冯英璞 朱良付 张桂芳 Zhu Xinlan;Feng Yingpu;Zhu Liangfu;Zhang Guifang(Department of the Second Cerebrovascular Disease Ward,Henan Provincial People′s Hospital,Henan Provincial Key Medicine Laboratory of Nursing,People′s Hospital of Zhengzhou University,Zhengzhou 450000,China)

机构地区：[1]河南省人民医院脑血管病二病区、河南省护理医学重点实验室、郑州大学人民医院,郑州450000

出　　处：《中国实用护理杂志》2023年第18期1382-1387,共6页Chinese Journal of Practical Nursing

基　　金：中国脑卒中高危人群干预适宜技术研究及推广项目(GN-2018R0007)。

摘　　要：目的:分析脑卒中后抑郁预测量表(DePreS)联合简版早期脑卒中后抑郁筛查量表(ESMPSD-SF)预测脑卒中后抑郁(PSD)的效能。方法:本研究为横断面调研,采用便利抽样法选取2019年6月至2021年5月河南省人民医院收治的185例脑卒中患者为研究对象,采用DePreS、ESMPSD-SF、一般资料调查表对其进行调查。结果:PSD发生率为36.76%(68/185)。PSD患者DePreS、ESMPSD-SF得分分别为(6.29±8.77)、(33.83±6.78)分,明显高于非PSD患者的(-2.05±5.70)、(26.51±5.56)分,差异有统计学意义(t=7.06、7.97,均P<0.05)。Logistic回归分析显示,DePreS与ESMPSD-SF得分、婚姻状态及合并其他疾病数是PSD发生的预测因素(P<0.05)。DePreS诊断PSD的AUC为0.777,最佳诊断点为2分,其敏感度为59.42%,特异度为80.71%;ESMPSD-SF诊断PSD的AUC为0.792,最佳诊断点为28分,其敏感度为78.26%,特异度为74.14%。DePreS联合ESMPSD-SF诊断PSD的敏感度为82.61%,特异度为83.62%,AUC为0.886,高于DePreS、ESMPSD-SF单独进行评估的AUC,差异均有统计学意义(Z=3.21、3.49,均P<0.05)。结论:DePreS联合ESMPSD-SF对PSD的检测效能较高,二者联合更适用于脑卒中患者PSD风险的评估。Objective To analyze the efficacy of the Post-stroke Depression Prediction Scale(DePreS)combined with the Early Symptom Measurement of Post-Stroke Depression-Short Form(ESMPSD-SF)in predicting post stroke depression(PSD).MethodsThis study was a cross-sectional survey,using convenience sampling method to select 185 stroke patients admitted to Henan Provincial People′s Hospital from June 2019 to May 2021 as the research subjects.The DePreS,ESMPSD-SF,and general information questionnaire were used to investigate them.ResultsThe incidence of PSD was 36.76%(68/185).The DePreS and ESMPSD-SF scores in the PSD patients were(6.29±8.77),(33.83±6.78)points,respectively,significantly higher than those in the non-PSD patients(-2.05±5.70),(26.51±5.56)points,with statistically significant differences(t=7.06,7.97,both P<0.05).Logistic regression analysis showed that DePreS and ESMPSD-SF scores,marital status,and the number of comorbidities were predictive factors for PSD occurrence(P<0.05).The AUC of DePreS for diagnosing PSD was 0.777,with an optimal diagnostic point of 2 points,a sensitivity of 59.42%,and a specificity of 80.71%;the AUC of the ESMPSD-SF for diagnosing PSD was 0.792,with an optimal diagnostic point of 28 points,a sensitivity of 78.26%,and a specificity of 74.14%.The sensitivity,specificity,and AUC of DePreS combined with ESMPSD-SF in the diagnosis of PSD were 82.61%,83.62%,and 0.886,respectively.The differences were statistically significant compared to the AUC evaluated separately by DePreS or ESMPSD-SF(Z=3.21,3.49,both P<0.05).ConclusionsThe combination of DePreS and ESMPSD-SF had a higher detection efficiency for PSD,and the combination of the two is more suitable for assessing PSD risk in stroke patients.

关 键 词：中风 卒中后抑郁 脑卒中后抑郁预测量表 简版早期脑卒中后抑郁筛查量表 

分 类 号：R473.74[医药卫生—护理学]