Predictors of affective disturbances and cognitive impairment following small spontaneous supratentorial intracerebral hemorrhage

被引：1

作者：

Jiang, Qiuyi ^{[1
,2
]}

Liu, Chunyang ^{[1
,2
]}

Zhang, Hongli ^{[1
,2
]}

Liu, Rui ^{[1
,2
]}

Zhang, Jian ^{[1
,2
]}

Guo, Jinyi ^{[1
,2
]}

Lu, Enzhou ^{[1
,2
]}

Wu, Shouyue ^{[1
,2
]}

Sun, Jianda ^{[1
,2
]}

Gao, Yan ^{[1
,2
]}

Yang, Qiunan ^{[1
,2
]}

Shi, Guangyao ^{[1
,2
]}

Yuan, Chao ^{[1
,2
]}

Liang, Yanchao ^{[1
,2
]}

Xiang, Huan ^{[1
,2
]}

Wang, Lu ^{[3
]}

Yang, Guang ^{[1
,2
]}

机构：

[1] First Affiliated Hosp Harbin Med Univ, Dept Neurol, Harbin 150001, Heilongjiang, Peoples R China

[2] Heilongjiang Prov Neurosci Inst, Harbin, Heilongjiang, Peoples R China

[3] Harbin Med Univ, Affiliated Hosp 4, Dept Urol, Heilongjiang Key Lab Sci Res Urol, Harbin 150001, Heilongjiang, Peoples R China

来源：

EUROPEAN JOURNAL OF NEUROLOGY | 2025年 / 32卷 / 01期

基金：

中国国家自然科学基金;

关键词：

anxiety symptoms; cognitive impairment; depressive symptoms; intracerebral hemorrhage; STROKE; DEPRESSION; ANXIETY;

D O I：

10.1111/ene.16544

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Background and purpose: Affective disturbances and cognitive impairment are common sequelae of intracerebral hemorrhage (ICH), yet predictive models for these outcomes remain limited, especially for spontaneous supratentorial ICH with small hematomas (<30 mL). The aim of this study was to investigate predictors of affective disturbances and cognitive impairment following small spontaneous supratentorial intracerebral hemorrhage. Methods: We retrospectively analyzed 1692 patients with spontaneous supratentorial ICH between January 2018 and December 2020 at the First Affiliated Hospital of Harbin Medical University. Of these, 1563 patients completed a median follow-up of 3.5 years. Cognitive function was evaluated using the modified Telephone Interview for Cognitive Status, and affective disturbances using the Hamilton Depression Scale and the Hamilton Anxiety Scale. Restricted cubic spline analyses were employed to examine the relationships between predictors and outcomes. Results: In this cohort, 58.5% had cognitive impairment, 52.8% reported depressive symptoms, and 39.4% exhibited anxiety symptoms. Logistic regression models using Boruta's algorithm demonstrated strong predictive capacity, with areas under the curve of 0.82 for cognitive impairment, 0.78 for depressive symptoms, and 0.73 for anxiety symptoms. Hematoma volume was significantly linked to depressive symptoms (odds ratio [OR] 1.56, 95% confidence interval [CI] 1.38-1.76) and inversely to cognitive impairment (OR 0.67, 95% CI 0.59-0.77). Uric acid levels displayed a nonlinear relationship with cognitive impairment (OR 0.70, 95% CI 0.61-0.81). Hospitalization days significantly raised the risk of both depressive (OR 1.16, 95% CI 1.03-1.30) and anxiety symptoms (OR 1.17, 95% CI 1.04-1.31). Conclusions: The logistic regression model, enhanced by Boruta's algorithm, provides a valuable tool for predicting affective disturbances and cognitive impairment after ICH. It facilitates early identification and improves risk assessment for these neuropsychiatric outcomes in patients with small hematomas.

引用

页数：10

共 33 条

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