Objective: To investigate the risk factors for cognitive impairment in patients with multiple lacunar infarctions and to construct a predictive model. Methods: A retrospective analysis was conducted on the clinical data of 252 elderly patients with multiple lacunar cerebral infarctions who were hospitalized in Nanjing Central Hospital from January 2022 to January 2024. Based on the presence of cognitive impairment, the patients were divided into a cognitive impairment group(n=198) and a non-cognitive impairment group(n=54). The clinical risk factors of the two groups were compared to identify the risk factors for cognitive impairment in elderly patients with multiple lacunar cerebral infarctions. A predictive model was then constructed based on the results, and the ROC curve was plotted to analyze the predictive value of the model. Results: This study included 252 elderly patients with multiple lacunar cerebral infarctions, with a cognitive impairment incidence rate of 78.57%(198/252). Multivariate Logistic regression analysis showed that alcohol consumption(OR=1.211,95%CI:1.174-5.968), hypertension(OR=1.906,95%CI:1.174-5.968), history of HHcy(OR=2.035,95%CI:1.244-7.416), exercise time<15 h·week-1(OR=1.865,95%CI:1.207-7.144), family dementia history(OR=2.977,95%CI:1.286-9.718), National Institute of Health Stroke Scale score>10 points(OR=3.255,95%CI:1.308-11.897), frontal lobe infarction(OR=2.474,95%CI:1.237-8.498), pontine infarction(OR=2.195,95%CI:1.244-9.007), and basal ganglia infarction(OR=2.103,95%CI:1.239-8.012) were risk factors for cognitive impairment in elderly patients with multiple lacunar infarcts, based on which a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.813(95%CI:0.728-0.898), and a sensitivity and specificity of 0.77 and 0.76, respectively. Conclusion: This study indicates that alcohol consumption, hypertension, hyperhomocysteinemia history, physical activity, family history of dementia, NIHSS score, frontal lobe infarction, pontine infarction, and basal ganglia infarction are closely associated with the occurrence of cognitive impairment in elderly patients with multiple lacunar cerebral infarctions. Prediction models based on these risk factors have good predictive performance and can provide strong support for early clinical screening and nursing intervention, which has important clinical application value. |
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