115563
论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
- 3.6 Breast Cancer (Dove Med Press)
- 4.3 Clin Epidemiol
- 2.6 Cancer Manag Res
- 3.2 Infect Drug Resist
- 4.1 Clin Interv Aging
- 6.1 Drug Des Dev Ther
- 4.1 Int J Chronic Obstr
- 8.7 Int J Nanomed
- 2.5 Int J Women's Health
- 3.2 Neuropsych Dis Treat
- 2.4 OncoTargets Ther
- 2.6 Patient Prefer Adher
- 2.6 Ther Clin Risk Manag
- 3.1 J Pain Res
- 3.5 Diabet Metab Synd Ob
- 4.5 Psychol Res Behav Ma
- 3.4 Nat Sci Sleep
- 2.4 Pharmgenomics Pers Med
- 2.6 Risk Manag Healthc Policy
- 4.6 J Inflamm Res
- 2.3 Int J Gen Med
- 3.9 J Hepatocell Carcinoma
- 3.3 J Asthma Allergy
- 2.5 Clin Cosmet Investig Dermatol
- 3.0 J Multidiscip Healthc
已发表论文
评估超声检测到的颈动脉斑块形态在预测绝经后女性缺血性卒中风险中的预后意义
Received 1 September 2025
Accepted for publication 11 December 2025
Published 6 January 2026 Volume 2026:18 564475
DOI https://doi.org/10.2147/IJWH.S564475
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Matteo Frigerio
Jing Liu,1,* Yanmei Du,1,* Yihan Liu2
1Physical Examination Center, Shijiazhuang Fourth Hospital, Shijiazhuang, 050000, People’s Republic of China; 2Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yihan Liu, Email hl97ggf@163.com
Objective: This study aimed to evaluate the predictive value of carotid plaque characteristics for ischemic stroke risk in postmenopausal women, and to develop a predictive model based on these features.
Methods: A retrospective analysis of clinical and carotid ultrasound data was performed on 145 postmenopausal women admitted to our hospital between January and December 2023. Patients were divided into stroke (n = 23) and non-stroke (n = 122) groups based on ischemic stroke occurrence during follow-up. Carotid plaque characteristics (location, number, echogenicity, surface, internal structure, and calcification) were assessed using color Doppler ultrasound. Cox regression analysis was used to examine plaque morphology’s association with ischemic stroke risk. A prediction model incorporating plaque characteristics and traditional risk factors (age, hypertension, diabetes, smoking, dyslipidemia) was developed and evaluated using receiver operating characteristic curve analysis.
Results: Cox regression analysis revealed several plaque characteristics as independent risk factors for ischemic stroke. These included hypoechoic plaques (hazard ratio (HR) = 2.16), irregular surfaces (HR = 1.84), ulcerated plaques (HR = 3.25), and heterogeneous internal structures (HR = 1.92). Additionally, plaques located in the internal carotid artery (HR = 2.31) and the presence of multiple plaques (≥ 3) (HR = 1.86) were significant stroke risk factors. The predictive model combining these plaque features with traditional risk factors demonstrated superior accuracy (area under the curve (AUC) = 0.87) compared to models based solely on traditional risk factors (AUC = 0.73, P = 0.008). Stratification using the prediction model identified low, moderate, and high-risk groups, with stroke incidence highest in the high-risk group (35.9%) compared to moderate (12.1%) and low-risk (4.2%) groups.
Conclusion: Carotid plaque morphology is a significant predictor of ischemic stroke in postmenopausal women. Including plaque characteristics in risk assessments improves predictive accuracy, aiding in early identification and personalized prevention strategies.
Keywords: carotid plaque, morphological characteristics, postmenopausal women, ischemic stroke
1Physical Examination Center, Shijiazhuang Fourth Hospital, Shijiazhuang, 050000, People’s Republic of China; 2Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yihan Liu, Email hl97ggf@163.com
Objective: This study aimed to evaluate the predictive value of carotid plaque characteristics for ischemic stroke risk in postmenopausal women, and to develop a predictive model based on these features.
Methods: A retrospective analysis of clinical and carotid ultrasound data was performed on 145 postmenopausal women admitted to our hospital between January and December 2023. Patients were divided into stroke (n = 23) and non-stroke (n = 122) groups based on ischemic stroke occurrence during follow-up. Carotid plaque characteristics (location, number, echogenicity, surface, internal structure, and calcification) were assessed using color Doppler ultrasound. Cox regression analysis was used to examine plaque morphology’s association with ischemic stroke risk. A prediction model incorporating plaque characteristics and traditional risk factors (age, hypertension, diabetes, smoking, dyslipidemia) was developed and evaluated using receiver operating characteristic curve analysis.
Results: Cox regression analysis revealed several plaque characteristics as independent risk factors for ischemic stroke. These included hypoechoic plaques (hazard ratio (HR) = 2.16), irregular surfaces (HR = 1.84), ulcerated plaques (HR = 3.25), and heterogeneous internal structures (HR = 1.92). Additionally, plaques located in the internal carotid artery (HR = 2.31) and the presence of multiple plaques (≥ 3) (HR = 1.86) were significant stroke risk factors. The predictive model combining these plaque features with traditional risk factors demonstrated superior accuracy (area under the curve (AUC) = 0.87) compared to models based solely on traditional risk factors (AUC = 0.73, P = 0.008). Stratification using the prediction model identified low, moderate, and high-risk groups, with stroke incidence highest in the high-risk group (35.9%) compared to moderate (12.1%) and low-risk (4.2%) groups.
Conclusion: Carotid plaque morphology is a significant predictor of ischemic stroke in postmenopausal women. Including plaque characteristics in risk assessments improves predictive accuracy, aiding in early identification and personalized prevention strategies.
Keywords: carotid plaque, morphological characteristics, postmenopausal women, ischemic stroke