Xiao Feng, Meiherinisa Taiwakuli, Junyong Du, Wenhao Zhu, Shabei Xu
{"title":"单发皮质下小梗死患者早期神经功能恶化和长期神经功能障碍的临床和影像学危险因素","authors":"Xiao Feng, Meiherinisa Taiwakuli, Junyong Du, Wenhao Zhu, Shabei Xu","doi":"10.1186/s12883-025-04067-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>This study aims to evaluate the clinical and imaging risk factors for early neurological deterioration (END) and long-term neurological disability in patients with Single subcortical small infarction (SSSI).</p><p><strong>Methods: </strong>We retrospectively included SSSI patients hospitalized. Outcomes were defined as modified Rankin Scale (mRS) score > 2 at follow-up and the occurrence of END during hospitalization. Multivariate logistic regression identified independent predictors of END and long-term outcomes. Stepwise regression analysis was used to develop a predictive model for poor outcomes. The predictive performance of risk factors and the model was assessed using receiver operating characteristic (ROC) curves.</p><p><strong>Results: </strong>A total of 289 SSSI patients were included. During hospitalization, 18 patients (6.2%) experienced END, and 29 patients (10%) had neurological disability at a median follow-up of 21.4 (16.7-25.2) months. Multivariate analysis showed the National Institutes of Health Stroke Scale (NIHSS) score(OR 1.43, 95% CI 1.19-1.73, P < 0.001), and neutrophil to high-density lipoprotein cholesterol ratio (NHR) (OR 1.28, 95% CI 1.02-1.60, P = 0.034) were independently associated with END. Age (OR 1.08, 95% CI 1.01-1.15, P = 0.028), NIHSS (OR 1.60, 95% CI 1.29-1.98, P < 0.001), symptomatic intracranial artery stenosis (OR 5.26, 95% CI 1.56-17.71, P = 0.007), lacune number (OR 1.51, 95% CI 1.13-2.04, P = 0.006), the degree of brain atrophy (OR 2.03, 95% CI 1.19-3.46, P = 0.01), and mean hemoglobin concentration (MCHC) (OR 0.96, 95% CI 0.92-0.99, P = 0.04) were independently associated with neurological disability. The predictive model for END (included NIHSS score and NHR level) and long-term neurological disability (included age, NIHSS score, symptomatic intracranial artery stenosis, number of lacunes, and brain atrophy) showed areas under the ROC curve of 0.836 and 0.926, respectively.</p><p><strong>Conclusion: </strong>High NIHSS and NHR are independent risk factors for END. Age, NIHSS, symptomatic intracranial artery stenosis, the number of lacunes, and brain atrophy are predictors of neurological disability in SSSI patients.</p>","PeriodicalId":9170,"journal":{"name":"BMC Neurology","volume":"25 1","pages":"66"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11829468/pdf/","citationCount":"0","resultStr":"{\"title\":\"Clinical and imaging risk factors for early neurological deterioration and long-term neurological disability in patients with single subcortical small infarction.\",\"authors\":\"Xiao Feng, Meiherinisa Taiwakuli, Junyong Du, Wenhao Zhu, Shabei Xu\",\"doi\":\"10.1186/s12883-025-04067-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>This study aims to evaluate the clinical and imaging risk factors for early neurological deterioration (END) and long-term neurological disability in patients with Single subcortical small infarction (SSSI).</p><p><strong>Methods: </strong>We retrospectively included SSSI patients hospitalized. Outcomes were defined as modified Rankin Scale (mRS) score > 2 at follow-up and the occurrence of END during hospitalization. Multivariate logistic regression identified independent predictors of END and long-term outcomes. Stepwise regression analysis was used to develop a predictive model for poor outcomes. The predictive performance of risk factors and the model was assessed using receiver operating characteristic (ROC) curves.</p><p><strong>Results: </strong>A total of 289 SSSI patients were included. During hospitalization, 18 patients (6.2%) experienced END, and 29 patients (10%) had neurological disability at a median follow-up of 21.4 (16.7-25.2) months. Multivariate analysis showed the National Institutes of Health Stroke Scale (NIHSS) score(OR 1.43, 95% CI 1.19-1.73, P < 0.001), and neutrophil to high-density lipoprotein cholesterol ratio (NHR) (OR 1.28, 95% CI 1.02-1.60, P = 0.034) were independently associated with END. Age (OR 1.08, 95% CI 1.01-1.15, P = 0.028), NIHSS (OR 1.60, 95% CI 1.29-1.98, P < 0.001), symptomatic intracranial artery stenosis (OR 5.26, 95% CI 1.56-17.71, P = 0.007), lacune number (OR 1.51, 95% CI 1.13-2.04, P = 0.006), the degree of brain atrophy (OR 2.03, 95% CI 1.19-3.46, P = 0.01), and mean hemoglobin concentration (MCHC) (OR 0.96, 95% CI 0.92-0.99, P = 0.04) were independently associated with neurological disability. The predictive model for END (included NIHSS score and NHR level) and long-term neurological disability (included age, NIHSS score, symptomatic intracranial artery stenosis, number of lacunes, and brain atrophy) showed areas under the ROC curve of 0.836 and 0.926, respectively.</p><p><strong>Conclusion: </strong>High NIHSS and NHR are independent risk factors for END. 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引用次数: 0
摘要
简介:本研究旨在评价单发皮质下小梗死(SSSI)患者早期神经功能恶化(END)和长期神经功能障碍的临床和影像学危险因素。方法:回顾性纳入住院的SSSI患者。结果定义为随访时改良Rankin量表(mRS)评分为bb0.2分,住院期间发生END。多变量logistic回归确定了END和长期预后的独立预测因子。采用逐步回归分析建立不良预后的预测模型。采用受试者工作特征(ROC)曲线评估危险因素和模型的预测性能。结果:共纳入SSSI患者289例。在住院期间,18名患者(6.2%)经历了END, 29名患者(10%)在中位随访21.4(16.7-25.2)个月期间出现神经功能障碍。多因素分析显示,美国国立卫生研究院卒中量表(NIHSS)评分(OR 1.43, 95% CI 1.19-1.73, P)结论:高NIHSS和NHR是END的独立危险因素。年龄、NIHSS、症状性颅内动脉狭窄、腔隙数量和脑萎缩是SSSI患者神经功能障碍的预测因素。
Clinical and imaging risk factors for early neurological deterioration and long-term neurological disability in patients with single subcortical small infarction.
Introduction: This study aims to evaluate the clinical and imaging risk factors for early neurological deterioration (END) and long-term neurological disability in patients with Single subcortical small infarction (SSSI).
Methods: We retrospectively included SSSI patients hospitalized. Outcomes were defined as modified Rankin Scale (mRS) score > 2 at follow-up and the occurrence of END during hospitalization. Multivariate logistic regression identified independent predictors of END and long-term outcomes. Stepwise regression analysis was used to develop a predictive model for poor outcomes. The predictive performance of risk factors and the model was assessed using receiver operating characteristic (ROC) curves.
Results: A total of 289 SSSI patients were included. During hospitalization, 18 patients (6.2%) experienced END, and 29 patients (10%) had neurological disability at a median follow-up of 21.4 (16.7-25.2) months. Multivariate analysis showed the National Institutes of Health Stroke Scale (NIHSS) score(OR 1.43, 95% CI 1.19-1.73, P < 0.001), and neutrophil to high-density lipoprotein cholesterol ratio (NHR) (OR 1.28, 95% CI 1.02-1.60, P = 0.034) were independently associated with END. Age (OR 1.08, 95% CI 1.01-1.15, P = 0.028), NIHSS (OR 1.60, 95% CI 1.29-1.98, P < 0.001), symptomatic intracranial artery stenosis (OR 5.26, 95% CI 1.56-17.71, P = 0.007), lacune number (OR 1.51, 95% CI 1.13-2.04, P = 0.006), the degree of brain atrophy (OR 2.03, 95% CI 1.19-3.46, P = 0.01), and mean hemoglobin concentration (MCHC) (OR 0.96, 95% CI 0.92-0.99, P = 0.04) were independently associated with neurological disability. The predictive model for END (included NIHSS score and NHR level) and long-term neurological disability (included age, NIHSS score, symptomatic intracranial artery stenosis, number of lacunes, and brain atrophy) showed areas under the ROC curve of 0.836 and 0.926, respectively.
Conclusion: High NIHSS and NHR are independent risk factors for END. Age, NIHSS, symptomatic intracranial artery stenosis, the number of lacunes, and brain atrophy are predictors of neurological disability in SSSI patients.
期刊介绍:
BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.