Predictive value of frailty in post-stroke depression among patients with acute ischemic stroke
10.3760/cma.j.cn115682-20241122-06419
- VernacularTitle:衰弱在急性缺血性脑卒中患者卒中后抑郁中的预测价值
- Author:
Yan HE
1
;
Shuqi SHI
;
Yundi YIN
;
Zhiling ZHAO
;
Qiurong HAN
;
Wenling CUI
;
Haiya SUN
;
Yan YANG
Author Information
1. 济宁医学院附属医院神经内科，济宁 272007
- Publication Type:Journal Article
- Keywords:
Stroke;
Frailty;
Post-stroke depression;
Risk prediction model
- From:
Chinese Journal of Modern Nursing
2025;31(20):2686-2692
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the impact of frailty on post-stroke depression (PSD) in patients with acute ischemic stroke and to identify risk factors for PSD in order to construct a risk prediction model.Methods:A convenience sampling method was used to recruit a total of 450 patients with acute ischemic stroke who were treated in the Department of Neurology at the Affiliated Hospital of Jining Medical University from March 2023 to April 2024. Data were collected using the Edmonton Frail Scale, Hamilton Depression Rating Scale, Barthel Index (Activities of Daily Living, ADL), Pittsburgh Sleep Quality Index, and Morse Fall Scale. Binary logistic regression analysis was performed to explore the impact of frailty on PSD and to identify other risk factors. Based on the results, a predictive model was developed.Results:A total of 450 questionnaires were distributed, with 412 valid responses returned, yielding a valid response rate of 91.56%. The incidence of PSD among the 412 patients was 45.63% (188/412). Binary Logistic regression analysis showed that frailty, sleep disturbance, C-reactive protein (CRP), and ADL score were the influencing factors for PSD in patients with acute ischemic stroke ( P<0.05). These factors were incorporated into the predictive model, and a risk nomogram was constructed. The area under the curve of the model was 0.764 [95% CI (0.716, 0.811) ], indicating good discriminative ability. Internal validation of the nomogram using the Hosmer-Lemeshow goodness-of-fit test showed χ 2=5.883, P=0.66 ( P>0.05), suggesting good calibration of the model. Conclusions:Frailty increases the risk of post-stroke depression in patients with acute ischemic stroke. Sleep disturbance, CRP level, and ADL score are important screening indicators for PSD risk. Targeted assessment and early intervention are recommended to reduce the likelihood of PSD.
