慢性心力衰竭患者轻度认知障碍风险预测列线图模型的构建及验证

doi:10.20047/j.issn1673-7210.2023.26.05

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Abstract Objective To construct and validate a risk nomogram model for mild cognitive impairment (MCI) in patients with chronic heart failure (CHF). Methods A total of 309 CHF patients in the Department of Cardiovascular Fuyang People’s Hospital of Anhui Province (hereinafter referred to as “our hospital”) from January to September 2021 were selected as the modeling group. From October to December 2021, 52 patients with CHF in the Department of Cardiovascular of our hospital were selected as the external validation group. Single and multi-factor analysis was used to explore the influencing factors, a prediction model, was built and internal and external verification were carried out. Results Age, education level, Pittsburgh sleep quality index scores were the influencing factors of MCI in CHF patients (OR＞1, P＜0.05). Internal verification showed that AUC=0.840, Youden index =0.480, sensitivity was 0.730, specificity was 0.750, and the model fit and prediction ability were good. External verification showed that AUC=0.876, Youden index =0.684, sensitivity was 0.743, specificity was 0.941, and H-L test P=0.448. Conclusion The incidence of MCI in CHF patients is 64.8%. Age, education, Pittsburgh sleep quality index scores and Frail scores are risk factors. This model could provide reference for assessing the risk of MCI in CHF patients.

Key words： Chronic heart failure Cognitive impairment Risk factors Columnar graph Predictive model

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	WANG Juanjuan1 XU Xiaoming2 LIU Ning2 NING Bin1 DUAN Yongli1

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WANG Juanjuan1 XU Xiaoming2 LIU Ning2 NING Bin1 DUAN Yongli1. Construction and validation of the nomogram model for risk prediction of mild cognitive impairment in patients with chronic heart failure[J]. 中国医药导报, 2023, 20(26): 27-32.

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https://www.yiyaodaobao.com.cn/EN/10.20047/j.issn1673-7210.2023.26.05 OR https://www.yiyaodaobao.com.cn/EN/Y2023/V20/I26/27

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