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Ospel JM, Kappelhof M, Ganesh A, Kallmes DF, Brinjikji W, Goyal M. Symptomatic non-stenotic carotid disease: current challenges and opportunities for diagnosis and treatment. J Neurointerv Surg 2024; 16:418-424. [PMID: 37068939 DOI: 10.1136/jnis-2022-020005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/02/2023] [Indexed: 04/19/2023]
Abstract
Symptomatic non-stenotic carotid plaques (SyNC) are an under-researched and under-recognized source of stroke. Various imaging markers of non-stenotic carotid plaques that are associated with stroke risk have been identified, but these causal relationships need to be confirmed in additional prospective studies. Currently, there exists neither a standardized SyNC definition nor a dedicated set of imaging protocols, although researchers have started to address these shortcomings. Moreover, many neuroradiologists are still unaware of the condition, and hence do not comment on high-risk plaque features other than stenosis in their reports. Regarding SyNC treatment, scant data exist as to whether and to what extent medical, interventional and surgical treatments could influence the course of the disease; the relative lack of data on the 'natural' history of untreated SyNC makes treatment comparisons difficult. In our opinion, endovascular SyNC treatment represents the most promising treatment option for SyNC, since it allows for targeted elimination of the embolic source, with few systemic side effects and without the need for general anesthesia. However, currently available carotid devices are designed to treat stenotic lesions, and thus are not optimally designed for SyNC. Developing a device specifically tailored to SyNC could be an important step towards establishing endovascular SyNC treatment in clinical practice. In this review, we provide an overview of the current state of evidence with regard to epidemiological, clinical and imaging features of SyNC, propose a SyNC definition based on imaging and clinical features, and outline a possible pathway towards evidence-based SyNC therapies, with a special focus on endovascular SyNC treatment.
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Affiliation(s)
- Johanna Maria Ospel
- Departments of Diagnostic Imaging and Clinical Neurosciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Manon Kappelhof
- Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, Noord-Holland, The Netherlands
| | - Aravind Ganesh
- Clinical Neurosciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | | | | | - Mayank Goyal
- Diagnostic Imaging, University of Calgary, Calgary, Alberta, Canada
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2
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Li RY, Zhao DL, Yu JW, Wu Y, Chen XH, Ge H, Li C, Ju S. Intracranial plaque characteristics on high-resolution MRI and high-sensitivity C-reactive protein levels: association and clinical relevance in acute cerebral infarction. Clin Radiol 2023; 78:e442-e450. [PMID: 36804273 DOI: 10.1016/j.crad.2023.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/30/2022] [Accepted: 01/11/2023] [Indexed: 02/04/2023]
Abstract
AIM To investigate the association between intracranial plaque characteristics and high-sensitivity C-reactive protein (hs-CRP) levels, and their combined effects on the occurrence of acute cerebral infarction (ACI). MATERIALS AND METHODS One hundred and forty-three patients with recent ischaemic events in the territory of middle cerebral artery or basilar artery were enrolled and divided into the ACI group (n=93) and non-ACI group (n=50) according to clinical data and diffusion-weighting imaging (DWI) results. All recruited patients underwent high-resolution magnetic resonance imaging (MRI) to assess intracranial plaque characteristics, including plaque enhancement, standardised wall index, stenosis ratio, T1 hyperintense component, remodelling pattern, plaque area, plaque burden, and maximum wall thickness. hs-CRP levels were further grouped into the low group (<1 mg/l), the intermediate group (1-3 mg/l), and the high group (≥3 mg/l). Multivariate logistic regression and receiver operating characteristic curve were constructed to evaluate the association between intracranial plaque characteristics and hs-CRP levels, as well as their synergistic effects on determining the occurrence of ACI. RESULTS High hs-CRP levels were associated with strong plaque enhancement (p<0.001, odds ratio [OR] = 7.497). Strong plaque enhancement (p=0.002, OR=2.109) and high hs-CRP levels (p=0.009, OR=3.893) were independently associated with the occurrence of ACI after adjustments for sex, age, and other traditional atherosclerotic risk factors. The combination of hs-CRP levels and strong plaque enhancement provided incremental information to determine ACI with an AUC of 0.823, which was significantly higher than that of strong plaque enhancement (0.711) and hs-CRP levels (0.686), respectively. CONCLUSION High hs-CRP levels were associated with strong plaque enhancement. The synergistic effects of hs-CRP levels and strong plaque enhancement provided incremental effects on the occurrence of ACI.
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Affiliation(s)
- R-Y Li
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China
| | - D-L Zhao
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China.
| | - J-W Yu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China
| | - Y Wu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China
| | - X-H Chen
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China
| | - H Ge
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China
| | - C Li
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China
| | - S Ju
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Gulou District, Nanjing, 210009, Jiangsu Province, China
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Olesen TB, Pareek M, Vishram-Nielsen JKK, Olsen MH. The influence of age and sex on the prognostic importance of traditional cardiovascular risk factors, selected circulating biomarkers and other markers of subclinical cardiovascular damage. Curr Opin Cardiol 2023; 38:21-31. [PMID: 36598446 DOI: 10.1097/hco.0000000000001005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
PURPOSE OF REVIEW There is an increasing need for improved risk stratification to better individualize cardiovascular preventive measures. Although age and sex are strong and easily obtained cardiovascular risk factors (CVRFs), their influence on the prognostic importance of other CVRF, circulating biomarkers and other markers of subclinical cardiovascular damage has not previously been systematically and critically appraised. Therefore, we have revisited the European MORGAM and the Danish MONI10 cohorts. RECENT FINDINGS Theoretically, the relative risk of many CVRF is expected to be lower in older healthy individuals due to a combination of selection bias by disease, higher absolute risk primarily due to older age, and the fact that the CVRF and markers may primarily influence or reflect early parts of the cardiovascular disease process. This influence of age may vary between sexes, as the cardiovascular disease process is delayed and possibly different in women compared with men. SUMMARY Adjusted for the remaining Systematic COronary Risk Evaluation (SCORE) CVRF, higher SBP, serum cholesterol, soluble urokinase-type plasminogen activator receptor, left ventricular mass index and atherosclerotic plaques were more closely associated with outcomes in individuals younger than 52 years with some sex-specific differences, whereas higher N-terminal pro-brain natriuretic peptide and urine albumin/creatine ratio were more closely associated with outcomes in subjects aged 61 or 71 years.
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Affiliation(s)
| | - Manan Pareek
- Centre for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen
- Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen
| | - Julie K K Vishram-Nielsen
- Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen
- Centre for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark
| | - Michael Hecht Olsen
- Department of Internal Medicine 1, Steno Diabetes Centre Zealand, Holbaek Hospital, Holbaek
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
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Mir SR, Lakshmi VSB. High-Sensitivity C-Reactive Protein-to-Albumin Ratio in Predicting the Major Adverse Cardiovascular Event in Acute Coronary Syndrome at Presentation. INDIAN JOURNAL OF CARDIOVASCULAR DISEASE IN WOMEN 2022. [DOI: 10.25259/mm_ijcdw_441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective:
Our study aimed to determine the association between high sensitivity-c reactive protein to albumin ratio (CAR) and in-hospital major adverse cardiovascular event (MACE) in patients with acute coronary syndrome and also to assess whether hs-CAR is a better marker than hsCRP or albumin alone in predicting MACE.
Materials and Methods:
We enrolled 110 cases who were hospitalized and major adverse cardiovascular event was defined as cardiogenic shock, acute heart failure, reinfarction and death. Blood sample for Serum albumin and hs-crp was taken at the time when patients were admitted.
Results:
The incidence of MACE was more in patients with high CAR (≥1.8 group) as compared to those with low CAR (<1.8 group).
Conclusion:
The CAR is an independent predictor of MACE in patients who present with ACS.
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Affiliation(s)
- Sajad Rashid Mir
- Department of Cardiology, Nizam’s Institute of Medical Sciences, Hyderabad, Telangana, India,
| | - V. S. Bharathi Lakshmi
- Department of Cardiology, Nizam’s Institute of Medical Sciences, Hyderabad, Telangana, India,
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5
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Li T, Yu Q, Wang Y, Cai X, Kong Y, Zhao H, Diao S, Qin Y, Fang Q. High-sensitivity C-reactive protein as a better predictor of post-thrombolytic functional outcome in patients with previous antiplatelet therapy. Eur J Med Res 2022; 27:83. [PMID: 35659067 PMCID: PMC9164376 DOI: 10.1186/s40001-022-00705-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 05/14/2022] [Indexed: 01/08/2023] Open
Abstract
Background C-reactive protein (CRP) is an important biomarker of inflammation and plays a pivotal role in predicting the clinical prognosis of cardiovascular and cerebrovascular diseases. However, the mechanism of inflammation influencing the outcome of patients with ischemic stroke are unknown. Aims We aim to investigate the association between hsCRP and mRS in 194 eligible patients by therapy-stratified analyses. Methods The modification effects of antiplatelet therapy on the association between mRS and different exposure variables were analyzed. The retained variables were analyzed in the receiver operating characteristic (ROC) curve to discriminate patients with poor outcome. Results hsCRP was positively correlated with mRS in therapy-stratified analyses. There was a statistical modification effect of antiplatelet therapy on the association of hsCRP and mRS (P for interaction = 0.0101). The discriminative effect of poor outcome was further verified by ROC curve analyses (AUCwith from 0.758 to 0.872, AUCwithout from 0.709 to 0.713). Conclusions hsCRP is correlated with the clinical outcome of patients treated with IVrt-PA, and may be a better predictor of post-thrombolytic functional outcome in patients with previous antiplatelet therapy than in non-used patients.
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Affiliation(s)
- Tan Li
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Qiannan Yu
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Yiqing Wang
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Xiuying Cai
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Yan Kong
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Hongru Zhao
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Shanshan Diao
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
| | - Yiren Qin
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
| | - Qi Fang
- Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
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Kanal Y, Şeyda Kanal HE, Yakut İ, Özen Y, Özbay MB, Gülcihan Balci K, Yayla C. CRP Albumin Ratio May Predict No Reflow in Patients Undergoing Percutaneous Coronary Intervention for Saphenous Vein Graft Stenosis. Angiology 2022:33197221098277. [PMID: 35500071 DOI: 10.1177/00033197221098277] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Many hypotheses have been proposed to explain no-reflow (NR). Some of these hypotheses, state that NR may be caused by damage to the vascular endothelium and an inflammatory process. In a recent study that did not include patients with coronary artery bypass graft (CABG), the ratio of C-reactive protein (CRP) to albumin (CAR) was found to be associated with NR. Our study aims to evaluate the relationship between CAR and NR in patients who underwent percutaneous coronary intervention (PCI) for saphenous vein graft (SVG). In this retrospective study, among the patients with CABG who underwent primary or elective coronary angiography, 242 patients who underwent PCI to the SVG were selected. The incidence of NR was 19.8% (n = 48). Diabetes mellitus, left ventricular ejection fraction (LVEF), stent length, and CAR were found as independent predictors of NR in multivariate logistic regression analysis (P < .05). Using a cut-off level of .930, the CAR predicted NR with a sensitivity of 75% and a specificity of 73% (AUC: .814, 95% CI: .749-.879, P < .001). The CAR was a better predictor than both stent length and LVEF. CAR was found to be the strongest predictor of NR in our study.
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Affiliation(s)
- Yücel Kanal
- Department of Cardiology, 233154Tokat State Hospital, Tokat, Turkey
| | | | - İdris Yakut
- Department of Cardiology, Ankara Gazi Mustafa Kemal Vocatıonal and Envıronmental Dıseases Hospıtal, Ankara, Turkey
| | - Yasin Özen
- Department of Cardiology, Sivas Sample Hospital, Sivas, Turkey
| | | | - Kevser Gülcihan Balci
- Department of Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
| | - Cagri Yayla
- Department of Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
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Yang X, Zhang D, Zhao Y, Liu D, Li Q, Guo C, Tian G, Han M, Qie R, Huang S, Zhou Q, Zhao Y, Feng Y, Wu X, Zhang Y, Li Y, Wu Y, Cheng C, Hu D, Sun L. Association between serum level of C-reactive protein and risk of cardiovascular events based on cohort studies. J Hum Hypertens 2021; 35:1149-1158. [PMID: 33980977 DOI: 10.1038/s41371-021-00546-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 04/06/2021] [Accepted: 04/23/2021] [Indexed: 11/09/2022]
Abstract
Although the association between serum level of C-reactive protein (CRP) and risk of cardiovascular events (CVEs) has been reported, the comprehensive assessment of the quantitative association of CRP level with risk of CVEs has not been reported. Our meta-analysis aims to quantitatively evaluate the association of CRP level and risk of CVEs. We searched PubMed and Embase databases for articles published up to December 6, 2019. Studies with data on men and women, different types of CVEs and multiple cohorts within a study were treated as independent studies. Generalized least-squares regression models were used to assess the quantitative association between CRP level and risk of CVEs. Restricted cubic splines were used to model the possible linear association between CRP and CVEs. We included 36 articles (60 studies; 227,715 participants) in the analysis. The pooled relative risks (RRs) of high versus low CRP level for cardiovascular disease (CVD), stroke and coronary heart disease (CHD) were 1.64 (95% confidence interval [CI], 1.49-1.82), 1.46 (95% CI, 1.35-1.58), and 1.55 (95% CI, 1.47-1.63), respectively. A linear association was found between CRP level and CVD (P = 0.429), stroke (P = 0.940), and CHD (P = 0.931); with each 1-mg/L increase in CRP level, the pooled RRs for CVD, stroke, and CHD were 1.18 (95% CI, 1.12-1.24), 1.07 (95% CI, 1.04-1.09), and 1.12 (95% CI, 1.08-1.16), respectively. This meta-analysis suggests that risk of CVEs increases with increasing serum CRP level.
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Affiliation(s)
- Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongdong Zhang
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.,Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Quanman Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chunmei Guo
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Qionggui Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xiaoyan Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yanyan Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yang Li
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Cheng Cheng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Liang Sun
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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Wen H, Lv M. Correlation analysis between serum procalcitonin and infarct volume in young patients with acute cerebral infarction. Neurol Sci 2020; 42:3189-3196. [PMID: 33108576 DOI: 10.1007/s10072-020-04856-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 10/22/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To detect the serum procalcitonin (PCT) level and determine its relationship with the infarct volume in young patients with acute cerebral infarction. METHODS According to the infarct volume, young patients with acute cerebral infarction were divided into large group, intermediate group, and small group. The severity of clinical symptoms was determined according to the National Institute of Health Stroke Scale (NIHSS) score. Healthy young people were selected as the control group. Serum PCT levels were measured. The relationship among PCT, volume, and NIHSS score was analyzed. RESULTS PCT in observation group was significantly higher than that in control group (t = 6.879, P = 0.011), and PCT in severe group was significantly higher than in mild group (t = 6.978, P = 0.016). PCT in large cerebral infarction group was higher than that in intermediate and small-size infarct group (P = 0.0036 and P < 0.0001, respectively), and PCT in intermediate cerebral infarction group was higher than that in small-size infarct group (P = 0.0024). In observation group, the PCT level was positively correlated with both NIHSS (r = 0.793, P = 0.022) and infarction volume (r = 0.649, P = 0.007). CONCLUSION The level of PCT in young patients with acute cerebral infarction may be related to the inflammatory reaction of the cerebral artery and positively related to the volume of cerebral infarction and NIHSS score. To some extent, PCT concentration can predict the disease severity of acute cerebral infarction.
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Affiliation(s)
- Huijun Wen
- Department of Neurology, Baoji Municipal Central Hospital, 8 Jiangtan Road, Baoji, 721008, Shaanxi, People's Republic of China
| | - Maikou Lv
- Department of Neurology, Baoji Municipal Central Hospital, 8 Jiangtan Road, Baoji, 721008, Shaanxi, People's Republic of China.
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Jamthikar A, Gupta D, Saba L, Khanna NN, Araki T, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Viswanathan V, Sharma A, Nicolaides A, Kitas GD, Suri JS. Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models. Cardiovasc Diagn Ther 2020; 10:919-938. [PMID: 32968651 DOI: 10.21037/cdt.2020.01.07] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background Statistically derived cardiovascular risk calculators (CVRC) that use conventional risk factors, generally underestimate or overestimate the risk of cardiovascular disease (CVD) or stroke events primarily due to lack of integration of plaque burden. This study investigates the role of machine learning (ML)-based CVD/stroke risk calculators (CVRCML) and compares against statistically derived CVRC (CVRCStat) based on (I) conventional factors or (II) combined conventional with plaque burden (integrated factors). Methods The proposed study is divided into 3 parts: (I) statistical calculator: initially, the 10-year CVD/stroke risk was computed using 13 types of CVRCStat (without and with plaque burden) and binary risk stratification of the patients was performed using the predefined thresholds and risk classes; (II) ML calculator: using the same risk factors (without and with plaque burden), as adopted in 13 different CVRCStat, the patients were again risk-stratified using CVRCML based on support vector machine (SVM) and finally; (III) both types of calculators were evaluated using AUC based on ROC analysis, which was computed using combination of predicted class and endpoint equivalent to CVD/stroke events. Results An Institutional Review Board approved 202 patients (156 males and 46 females) of Japanese ethnicity were recruited for this study with a mean age of 69±11 years. The AUC for 13 different types of CVRCStat calculators were: AECRS2.0 (AUC 0.83, P<0.001), QRISK3 (AUC 0.72, P<0.001), WHO (AUC 0.70, P<0.001), ASCVD (AUC 0.67, P<0.001), FRScardio (AUC 0.67, P<0.01), FRSstroke (AUC 0.64, P<0.001), MSRC (AUC 0.63, P=0.03), UKPDS56 (AUC 0.63, P<0.001), NIPPON (AUC 0.63, P<0.001), PROCAM (AUC 0.59, P<0.001), RRS (AUC 0.57, P<0.001), UKPDS60 (AUC 0.53, P<0.001), and SCORE (AUC 0.45, P<0.001), while the AUC for the CVRCML with integrated risk factors (AUC 0.88, P<0.001), a 42% increase in performance. The overall risk-stratification accuracy for the CVRCML with integrated risk factors was 92.52% which was higher compared all the other CVRCStat. Conclusions ML-based CVD/stroke risk calculator provided a higher predictive ability of 10-year CVD/stroke compared to the 13 different types of statistically derived risk calculators including integrated model AECRS 2.0.
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Affiliation(s)
- Ankush Jamthikar
- Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India
| | - Deep Gupta
- Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India
| | - Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | - Narendra N Khanna
- Department of Cardiology, Indraprastha APOLLO Hospitals, New Delhi, India
| | - Tadashi Araki
- Division of Cardiovascular Medicine, Toho University, Tokyo, Japan
| | - Klaudija Viskovic
- Department of Radiology and Ultrasound, University Hospital for Infectious Diseases, Zagreb, Croatia
| | - Sophie Mavrogeni
- Cardiology Clinic, Onassis Cardiac Surgery Center, Athens, Greece
| | - John R Laird
- Heart and Vascular Institute, Adventist Health St. Helena, St Helena, CA, USA
| | - Gyan Pareek
- Minimally Invasive Urology Institute, Brown University, Providence, Rhode Island, USA
| | - Martin Miner
- Men's Health Center, Miriam Hospital Providence, Rhode Island, USA
| | - Petros P Sfikakis
- Rheumatology Unit, National and Kapodistrian University of Athens, Athens, Greece
| | - Athanasios Protogerou
- Department of Cardiovascular Prevention & Research Unit Clinic & Laboratory of Pathophysiology, National and Kapodistrian University of Athens, Athens, Greece
| | - Vijay Viswanathan
- MV Hospital for Diabetes and Professor M Viswanathan Diabetes Research Centre, Chennai, India
| | - Aditya Sharma
- Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA, USA
| | - Andrew Nicolaides
- Vascular Screening and Diagnostic Centre and University of Nicosia Medical School, Nicosia, Cyprus
| | - George D Kitas
- R & D Academic Affairs, Dudley Group NHS Foundation Trust, Dudley, UK
| | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
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10
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Wang W, Ren D, Wang CS, Li T, Yao HC, Ma SJ. Prognostic efficacy of high-sensitivity C-reactive protein to albumin ratio in patients with acute coronary syndrome. Biomark Med 2019; 13:811-820. [PMID: 31144514 DOI: 10.2217/bmm-2018-0346] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: The present study aimed to examine the correlation between high-sensitivity CRP to albumin ratio (CAR) and in-hospital and short-term major adverse cardiac events (MACEs) in patients with acute coronary syndrome (ACS). Materials & methods: We analyzed 652 consecutive patients who had been hospitalized for ACS. The MACEs were defined as cardiogenic shock, reinfarction, acute heart failure and all-cause death. Results: The incidence rate of MACEs was significantly higher in the high CAR (≥0.114) group than in the low CAR (<0.114) group. Multivariate analysis revealed that CAR, hs-CRP and albumin were independent predictors for increased risk for MACEs. Conclusion: The CAR was independently correlated with in-hospital and short-term MACEs and can be used for risk stratification in patients with ACS.
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Affiliation(s)
- Wei Wang
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong University & Clinical School of Taishan Medical University, Liaocheng 252000, People's Republic of China
| | - Dong Ren
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong University & Clinical School of Taishan Medical University, Liaocheng 252000, People's Republic of China
| | - Chun-Song Wang
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong University & Clinical School of Taishan Medical University, Liaocheng 252000, People's Republic of China
| | - Tai Li
- Department of Cardiology, The Third People's Hospital of Liaocheng, Liaocheng 252000, People's Republic of China
| | - Heng-Chen Yao
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong University & Clinical School of Taishan Medical University, Liaocheng 252000, People's Republic of China
| | - Sheng-Jun Ma
- Department of Cardiac Surgery, Liaocheng People's Hospital Affiliated to Shandong University & Clinical School of Taishan Medical University, Liaocheng 252000, People's Republic of China
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Femoral Intima-media Thickness, Risk Factors, and Markers of Inflammation in Cardiovascular Disease. JOURNAL OF INTERDISCIPLINARY MEDICINE 2018. [DOI: 10.2478/jim-2018-0032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Introduction: The burden of coronary artery disease (CAD) and peripheral vascular pathologies caused by atherosclerosis is constantly increasing. There is continuous research aiming to develop new methods that can evaluate the extent of atherosclerotic disease in different vascular beds, thus estimating global risk. Similar to carotid artery thickness, which is an established marker for increased cardiovascular risk and cerebrovascular disease, femoral intima-media thickness (f-IMT) may have the same role in case of peripheral arterial involvement. The aim of the study was determine whether f-IMT, determined at the level of the superficial femoral artery, is related to traditional risk factors, markers of peripheral vascular atherosclerosis and inflammation.
Material and methods: Forty-six patients with known cardiovascular disease were included in the study. Demographical data, cardiovascular history, and risk factors were assessed. We determined metabolic parameters (uric acid, fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides), renal function (creatinine and GFR), and inflammation status for all patients. Each patient underwent ultrasound examination of the superficial femoral artery, by which f-IMT was determined for right and left limbs. Ankle-brachial index was also calculated. Data from the low (f-IMT <0.75 mm) and high (f-IMT >0.75 mm) f-IMT groups were compared and correlation coefficients were determined in each groups for f-IMT in relation to the other parameters.
Results: Mean age was 71.08 ± 9.78 years. 86.95% of the patients suffered from hyper-tension, 56.62% had coronary heart disease, and 21.73% had a history of stroke. More females had history of hypertension and CAD. The most prevalent cardiovascular risk factors were dyslipidemia (68.86%), diabetes (21.73%), and smoking (21.73%). There were significant differences between gender groups for total cholesterol levels (161.36 ± 25.04 mg/dL, 95%CI 150.26–172.47 in males vs. 201.33 ± 52.73 mg/dL, 95%CI 170.07–223.60 in females, p = 0.02), creatinine values (1.04 ± 0.22 mg/dL, 95%CI 0.94–1.14 for males vs. 0.91 ± 0.23 mg/dL, 95%CI 0.81–1.00 for females, p = 0.018), and left f-IMT (0.87 ± 0.18 mm, 95%CI 0.79–0.95 for males vs. 0.75 ± 0.10 mm, 95%CI 0.70–0.79 for females, p = 0.0049). In the group with low f-IMT, a significant, reverse correlation was established between f-IMT, uric acid (r = −0.483, p = 0.042), and right ABI (r = −730, p = 0.0006). In the group with high f-IMT, age (r = 0.408, p = 0.031), fasting glucose (r = 0.407, p = 0.034), total cholesterol (r = 0.429, p = 0.02), HDL-cholesterol (r = −0.56, p = 0.0019), triglycerides (r = 0.45, p = 0.01), hs-CRP (r = 0.45, p = 0.01), and left ABI (r = −0.71, p <0.0001) showed a significant correlation to f-IMT.
Conclusions: Increased femoral intima-media thickness is related to age, cardiovascular risk factors, and markers of peripheral arterial disease. Patients with higher f-IMT have a more augmented inflammatory status. Based on these correlations, in patients with cardiovascular disease, f-IMT could become a marker for increased cardiovascular risk.
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