Predictive value of Post-stroke Depression Prediction Scale combined with the Early Symptom Measurement of Post-Stroke Depression-Short Form for post-stroke depression
10.3760/cma.j.cn211501-20220519-01566
- VernacularTitle: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
- Author:
Xinlan ZHU
1
;
Yingpu FENG
;
Liangfu ZHU
;
Guifang ZHANG
Author Information
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
- Keywords:
Stroke;
Post-stroke depression;
Post-stroke Depression Prediction Scale;
Early Symptom Measurement of Post-Stroke Depression-Short Form
- From:
Chinese Journal of Practical Nursing
2023;39(18):1382-1387
- CountryChina
- Language:Chinese
-
Abstract:
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).Methods:This 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.Results:The 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). Conclusions:The 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.
