111614
论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
- 3.4 Breast Cancer (Dove Med Press)
- 3.2 Clin Epidemiol
- 2.6 Cancer Manag Res
- 2.9 Infect Drug Resist
- 3.7 Clin Interv Aging
- 5.1 Drug Des Dev Ther
- 3.1 Int J Chronic Obstr
- 6.6 Int J Nanomed
- 2.6 Int J Women's Health
- 2.9 Neuropsych Dis Treat
- 2.8 OncoTargets Ther
- 2.0 Patient Prefer Adher
- 2.2 Ther Clin Risk Manag
- 2.5 J Pain Res
- 3.0 Diabet Metab Synd Ob
- 3.2 Psychol Res Behav Ma
- 3.4 Nat Sci Sleep
- 1.8 Pharmgenomics Pers Med
- 2.0 Risk Manag Healthc Policy
- 4.1 J Inflamm Res
- 2.0 Int J Gen Med
- 3.4 J Hepatocell Carcinoma
- 3.0 J Asthma Allergy
- 2.2 Clin Cosmet Investig Dermatol
- 2.4 J Multidiscip Healthc
已发表论文
颈动脉内膜中层厚度联合脑室周围白质高信号对帕金森病轻度认知障碍的诊断价值
Received 14 July 2025
Accepted for publication 14 November 2025
Published 24 November 2025 Volume 2025:21 Pages 2595—2602
DOI https://doi.org/10.2147/NDT.S553623
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Taro Kishi
Shishuang Li, Fuyou Che, Zuowen Zhang
Department of Neurology, Chongqing University Jiangjin Hospital, Chongqing, People’s Republic of China
Correspondence: Zuowen Zhang, Department of Neurology, Chongqing University Jiangjin Hospital, No. 725, Jiangzhou Road, Dingshan Street, Jiangjin District, Chongqing, 402260, People’s Republic of China, Tel +86-15823472901, Email zw_zhang@cqu.edu.cn
Purpose: To determine the independent association of carotid intima-media thickness (CIMT) and periventricular white matter hyperintensities (PWMHs) with mild cognitive impairment in Parkinson’s disease (PD-MCI) and evaluate the diagnostic value of CIMT combined with PWMHs for PD-MCI.
Patients and Methods: A prospective cohort of 541 PD patients was enrolled, and all patients underwent carotid artery ultrasound for mean CIMT measurement and 3T brain MRI for PWMH volume quantification. PD-MCI was diagnosed via comprehensive neuropsychological assessment (10 tests across 5 domains) based on established criteria, ie, at least two tests demonstrated abnormal results, either one impaired test in two different cognitive domains or two impaired tests in a single cognitive domain. Multivariate analysis was conducted to determine the independent association, and the receiver operating characteristic (ROC) curve was employed to assess the diagnostic values, and the Z test was employed to compare the area under curve (AUC).
Results: PD-MCI prevalence was 45.5% (246/541). Multivariate analysis, adjusting for education duration, Cys C levels, disease duration, total brain WMHs, hypertension, hyperlipidemia, and age, identified PWMHs [odds ratio (OR): 2.114, 95% confidence interval (CI): 1.391– 4.586], CIMT (OR: 2.027, 95% CI: 1.485– 4.281), homocysteine (OR: 1.551, 95% CI: 1.172– 2.680), Hoehn and Yahr stage (OR: 2.243, 95% CI: 1.534– 4.736), and MDS-UPDRS part III score (OR: 1.416, 95% CI: 1.158– 2.465) as independent PD-MCI predictors. ROC analysis demonstrated significantly higher diagnostic value for the combination of CIMT and PWMHs (AUC: 0.908, 95% CI: 0.882– 0.934) compared to either marker alone (AUC: 0.705, 95% CI: 0.661– 0.750 for PWMHs; AUC: 0.722, 95% CI: 0.678– 0.765 for CIMT; both P < 0.001).
Conclusion: The combination of CIMT and PWMHs provides significantly superior diagnostic value for PD-MCI compared to either marker individually, and this integrated model suggests a potential tool for identifying PD patients at high risk for cognitive decline.
Keywords: Parkinson’s disease, mild cognitive impairment, carotid intima-media thickness, periventricular white matter hyperintensities, prediction
Department of Neurology, Chongqing University Jiangjin Hospital, Chongqing, People’s Republic of China
Correspondence: Zuowen Zhang, Department of Neurology, Chongqing University Jiangjin Hospital, No. 725, Jiangzhou Road, Dingshan Street, Jiangjin District, Chongqing, 402260, People’s Republic of China, Tel +86-15823472901, Email zw_zhang@cqu.edu.cn
Purpose: To determine the independent association of carotid intima-media thickness (CIMT) and periventricular white matter hyperintensities (PWMHs) with mild cognitive impairment in Parkinson’s disease (PD-MCI) and evaluate the diagnostic value of CIMT combined with PWMHs for PD-MCI.
Patients and Methods: A prospective cohort of 541 PD patients was enrolled, and all patients underwent carotid artery ultrasound for mean CIMT measurement and 3T brain MRI for PWMH volume quantification. PD-MCI was diagnosed via comprehensive neuropsychological assessment (10 tests across 5 domains) based on established criteria, ie, at least two tests demonstrated abnormal results, either one impaired test in two different cognitive domains or two impaired tests in a single cognitive domain. Multivariate analysis was conducted to determine the independent association, and the receiver operating characteristic (ROC) curve was employed to assess the diagnostic values, and the Z test was employed to compare the area under curve (AUC).
Results: PD-MCI prevalence was 45.5% (246/541). Multivariate analysis, adjusting for education duration, Cys C levels, disease duration, total brain WMHs, hypertension, hyperlipidemia, and age, identified PWMHs [odds ratio (OR): 2.114, 95% confidence interval (CI): 1.391– 4.586], CIMT (OR: 2.027, 95% CI: 1.485– 4.281), homocysteine (OR: 1.551, 95% CI: 1.172– 2.680), Hoehn and Yahr stage (OR: 2.243, 95% CI: 1.534– 4.736), and MDS-UPDRS part III score (OR: 1.416, 95% CI: 1.158– 2.465) as independent PD-MCI predictors. ROC analysis demonstrated significantly higher diagnostic value for the combination of CIMT and PWMHs (AUC: 0.908, 95% CI: 0.882– 0.934) compared to either marker alone (AUC: 0.705, 95% CI: 0.661– 0.750 for PWMHs; AUC: 0.722, 95% CI: 0.678– 0.765 for CIMT; both P < 0.001).
Conclusion: The combination of CIMT and PWMHs provides significantly superior diagnostic value for PD-MCI compared to either marker individually, and this integrated model suggests a potential tool for identifying PD patients at high risk for cognitive decline.
Keywords: Parkinson’s disease, mild cognitive impairment, carotid intima-media thickness, periventricular white matter hyperintensities, prediction