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Gu SY, Zhang LN, Chen J, Li F, Yao MH, Jia CX, Wu R. Associations of plaque morphology and location with Intraplaque neovascularization in the carotid artery by contrast-enhanced ultrasound imaging. Front Neurol 2023; 14:1097070. [PMID: 37251224 PMCID: PMC10213664 DOI: 10.3389/fneur.2023.1097070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 04/25/2023] [Indexed: 05/31/2023] Open
Abstract
Objective Intraplaque neovascularization (IPN) is a known indicator of plaque vulnerability, and is thus considered a predictor of stroke. The morphology and location of the carotid plaque may be correlated with plaque vulnerability. Therefore, our study aimed to examine the associations of carotid plaque morphology and location with IPN. Methods A total of 141 patients with carotid atherosclerosis (mean age, 64.99 ± 10.96 years) who underwent carotid contrast-enhanced ultrasound (CEUS) between November 2021 and March 2022 were retrospectively analyzed. IPN was graded according to the presence and location of microbubbles within the plaque. The association of IPN grade with carotid plaque morphology and location was evaluated using ordered logistic regression. Results Of the 171 plaques, 89 (52%) were IPN Grade 0, 21 (12.2%) were Grade 1, and 61 (35.6%) were Grade 2. IPN grade significantly associated with both plaque morphology and location, with higher grades observed among Type III morphology and common carotid artery plaques. Significant negative association was further shown between IPN grade and serum high-density lipoprotein cholesterol (HDL-C) level. Plaque morphology and location, and HDL-C remained significantly associated with IPN grade after adjusting for confounding factors. Conclusion The location and morphology of carotid plaques were significantly associated with the IPN grade on CEUS, and therefore show potential as biomarkers for plaque vulnerability. Serum HDL-C was also identified as a protective factor against IPN, and may play a role in the management of carotid atherosclerosis. Our study provided a potential strategy for identification of vulnerable carotid plaques and elucidated the important imaging predictors of stroke.
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Ma M, Liu Y, Wang L, Yang R, Li Z, Gao S, Li L, Yu C. Relationship Between Monocyte-to-Lymphocyte Ratio as Well as Other Leukocyte-Derived Ratios and Carotid Plaques in Patients with Coronary Heart Disease: A RCSCD-TCM Study. J Inflamm Res 2022; 15:5141-5156. [PMID: 36105384 PMCID: PMC9464636 DOI: 10.2147/jir.s375759] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 08/26/2022] [Indexed: 11/26/2022] Open
Abstract
Purpose This study explored the relationship between monocyte-to-lymphocyte ratio (MLR) as well as other leukocyte-derived ratios and carotid plaques in patients with coronary heart disease (CHD). Patients and Methods A total of 12,093 patients with CHD were selected as research participants. Leukocyte-derived ratios assessed in this study included neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), MLR, platelet-to-lymphocyte ratio (PLR), white blood cell-to-mean platelet volume ratio (WMR), lymphocyte×neutrophil/104 ratio (MNM), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI). Leukocyte-derived ratios were divided into four groups according to quarters. Logistic regression analysis was performed to evaluate the relationship between leukocyte-derived ratios and the incidence, number, and echo characteristics of carotid plaques in patients with CHD. Further analysis was performed after adjusting for confounding factors. Results Among the 12,093 participants, 71.7% had carotid plaques. After adjusting for confounding factors, MLR, NLR, dNLR, PLR, SII, SIRI, and WMR were found to be associated with carotid plaque formation. Among them, MLR had the strongest association with the incidence of carotid plaques (odd ratio[OR]:1.889; 95% confidence interval[CI]:1.406–2.539) and hyperechoic plaques (OR:2.024; 95% CI:1.481–2.767). When MLR was viewed as a categorical variable, the risk of carotid plaque formation in Q4 was 1.4 times higher than that in Q1. The relationship between MLR and carotid plaques in females (OR:2.250; 95% CI:1.458–3.473) was stronger than that in males (OR: 1.638; 95% CI:1.102–-2.436). The relationship between MLR and carotid plaques in patients younger than 65 years (OR:3.597; 95% CI:2.379–5.439) was stronger than that in those older than 65 years (OR:1.577; 95% CI:1.046–2.378). Conclusion Leukocyte-derived ratios were related to the incidence, number, and echo characteristics of carotid plaques. In particular, MLR, an inflammatory biomarker that encompasses innate and adaptive immunity, may be of great value in revealing the incidence and echo characteristics of plaques.
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Affiliation(s)
- Mei Ma
- Department of Graduate Schools, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Yijia Liu
- Department of Graduate Schools, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Lichun Wang
- Department of Information Center, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Rongrong Yang
- Department of Graduate Schools, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Zhu Li
- Department of Graduate Schools, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Sheng Gao
- Department of Endocrine Metabolic Diseases, Nankai Hospital, Tianjin Hospital of Integrated Traditional Chinese and Western Medicine, Tianjin, People's Republic of China
| | - Lin Li
- Department of Graduate Schools, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Chunquan Yu
- Department of Graduate Schools, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
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Qi W, Zhao J, Huang C, Jiang N, Li J, Wu C, Zhang S, Hu C, Xu D, Wang Q, Li M, Tian X, Zhao Y, Zeng X. Clinical characteristics and prognosis of patients with antiphospholipid antibodies based on cluster analysis: an 8-year cohort study. Arthritis Res Ther 2022; 24:140. [PMID: 35690831 PMCID: PMC9188169 DOI: 10.1186/s13075-022-02814-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 05/12/2022] [Indexed: 12/26/2022] Open
Abstract
Background Antiphospholipid syndrome (APS) is an autoimmune disease characterized by persistent antiphospholipid antibodies (aPLs) positivity with a wide manifestation spectrum. A risk stratification is needed for management guidance and prognosis assessment. We aimed to identify phenotypes among aPL-positive patients and assess the prognosis of each phenotype. Methods This was a single-center, prospective cohort study of aPL-positive patients presented to Peking Union Medical College Hospital from 2012 to 2020. Demographic characteristics, aPL-related manifestations, cardiovascular risk factors, and antibodies profiles were recorded. The primary endpoint was defined as a combination of newly onset thrombosis, major bleeding events, non-criteria manifestations, and all-cause death. Hierarchical cluster analysis and Kaplan-Meier survival analysis were performed. Results Four clusters among 383 patients (70.2% female; mean age 37.7 years) were identified. Cluster 1 (n = 138): patients with systemic lupus erythematosus (SLE) and non-criteria manifestations; cluster 2 (n = 112): patients with multiple cardiovascular risk factors; cluster 3 (n = 83): female patients with obstetric morbidity; cluster 4 (n = 50): patients with isolated lupus anticoagulant (LA) positivity. Non-criteria manifestations were found aggregated with SLE from cluster analysis of variables. Cluster 3 showed the best outcome, while cluster 2 suffered highest frenquency of newly onset arterial thrombosis. Conclusions We identified 4 clinical phenotypes of aPL-positive patients. Non-criteria manifestations may indicate underlying SLE, for which immunosuppressive therapy besides anticoagulation may be necessary. Patients with isolated LA positivity suffered similar risks with secondary APS and patients with multiple cardiovascular risk factors. Attention should be paid to male patients, and the screening of cardiovascular risk factors should never be ignored. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-022-02814-w.
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Affiliation(s)
- Wanting Qi
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiuliang Zhao
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China.,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Can Huang
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China
| | - Nan Jiang
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China
| | - Jing Li
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China
| | - Chanyuan Wu
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China
| | - Shangzhu Zhang
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China
| | - Chaojun Hu
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Dong Xu
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China
| | - Qian Wang
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China.,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Mengtao Li
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China.,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xinping Tian
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China.,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Yan Zhao
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China.,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xiaofeng Zeng
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. .,National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China. .,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Beijing, China. .,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
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Geiger MA, Flumignan RLG, Sobreira ML, Avelar WM, Fingerhut C, Stein S, Guillaumon AT. Carotid Plaque Composition and the Importance of Non-Invasive in Imaging Stroke Prevention. Front Cardiovasc Med 2022; 9:885483. [PMID: 35651908 PMCID: PMC9149096 DOI: 10.3389/fcvm.2022.885483] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/27/2022] [Indexed: 12/24/2022] Open
Abstract
Luminal stenosis has been the standard feature for the current management strategies in patients with atherosclerotic carotid disease. Histological and imaging studies show considerable differences between plaques with identical degrees of stenosis. They indicate that specific plaque characteristics like Intraplaque hemorrhage, Lipid Rich Necrotic Core, Plaque Inflammation, Thickness and Ulceration are responsible for the increased risk of ischemic events. Intraplaque hemorrhage is defined by the accumulation of blood components within the plaque, Lipid Rich Necrotic Core is composed of macrophages loaded with lipid, Plaque Inflammation is defined as the process of atherosclerosis itself and Plaque thickness and Ulceration are defined as morphological features. Advances in imaging methods like Magnetic Resonance Imaging, Ultrasound, Computed Tomography and Positron Emission Tomography have enabled a more detailed characterization of the plaque, and its vulnerability is linked to these characteristics, changing the management of these patients based only on the degree of plaque stenosis. Studies like Rotterdam, ARIC, PARISK, CAPIAS and BIOVASC were essential to evaluate and prove the relevance of these characteristics with cerebrovascular symptoms. A better approach for the prevention of stroke is needed. This review summarizes the more frequent carotid plaque features and the available validation from recent studies with the latest evidence.
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Affiliation(s)
- Martin Andreas Geiger
- Division of Vascular Surgery, Department of Surgery, Universidade Estadual de Campinas—UNICAMP, São Paulo, Brazil
- *Correspondence: Martin Andreas Geiger
| | - Ronald Luiz Gomes Flumignan
- Division of Vascular and Endovascular Surgery, Department of Surgery, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Marcone Lima Sobreira
- Division of Vascular and Endovascular Surgery, Department of Surgery and Orthopedics, Botucatu Medical School, Universidade Estadual Paulista (UNESP), São Paulo, Brazil
| | - Wagner Mauad Avelar
- Department of Neurology, Universidade Estadual de Campinas—UNICAMP, São Paulo, Brazil
| | - Carla Fingerhut
- Division of Radiology, Department of Anesthesiology and Radiology, Universidade Estadual de Campinas—UNICAMP, São Paulo, Brazil
| | - Sokrates Stein
- Division of Vascular Surgery, Department of Surgery, Universidade Estadual de Campinas—UNICAMP, São Paulo, Brazil
| | - Ana Terezinha Guillaumon
- Division of Vascular Surgery, Department of Surgery, Universidade Estadual de Campinas—UNICAMP, São Paulo, Brazil
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