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Tajani A, Sadeghi M, Omidkhoda N, Mohammadpour AH, Samadi S, Jomehzadeh V. The association between C-reactive protein and coronary artery calcification: a systematic review and meta-analysis. BMC Cardiovasc Disord 2024; 24:204. [PMID: 38600488 PMCID: PMC11007925 DOI: 10.1186/s12872-024-03856-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 03/25/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND While coronary artery calcification (CAC) is recognized as a reliable marker for coronary atherosclerosis, the relationship between the concentration of C-reactive protein (CRP) and the incidence and progression of CAC remains controversial. METHOD PubMed, Embase, Web of Science, and Scopus were systematically searched to identify relevant observational studies until October 2023. The methodological quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS). A random-effects meta-analysis was employed to calculate pooled odd ratios (OR) and corresponding 95% confidence intervals, considering heterogeneity among the studies. RESULTS Out of the 2545 records, 42 cross-sectional and 9 cohort studies were included in the systematic review. The meta-analysis on 12 eligible cross-sectional studies revealed no significant association between CAC and CRP [pooled OR: 1.03 (1.00, 1.06)]. Additionally, an insignificant association was found between CAC and CRP through meta-analysis on three eligible cohort studies [pooled OR: 1.05 (0.95, 1.15)] with no considerable heterogeneity across studies. Sensitivity analyses indicated that the meta-analysis models were robust. There was no evidence of publication bias. CONCLUSION Based on the meta-analysis findings, elevated levels of CRP did not emerge as a valuable prognostic maker for CAC incidence and progression prediction.
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Affiliation(s)
- Amirhossein Tajani
- Department of Clinical Pharmacy, School of Pharmacy, Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Masoumeh Sadeghi
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Navid Omidkhoda
- Department of Clinical Pharmacy, School of Pharmacy, Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amir Hooshang Mohammadpour
- Department of Clinical Pharmacy, School of Pharmacy, Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sara Samadi
- Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Vahid Jomehzadeh
- Department of Surgery, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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You S, Gao JW, Zhang HF, Xiong ZC, Hao QY, Han JJ, Wang JF, Zhang SL, Liu PM. Predictors of long-term absence of coronary artery calcium in individuals with high blood pressure: results from the MESA study. Ann Med 2023; 55:2209334. [PMID: 37155413 PMCID: PMC10167869 DOI: 10.1080/07853890.2023.2209334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND & AIMS Individuals with high blood pressure (BP) have varying risks of cardiovascular events due to other coexisting factors. We aimed to identify the predictors of long-term absence of coronary artery calcium (CAC) in individuals with high BP, which is an indicator of healthy arterial aging and can guide preventive strategies. METHODS We analyzed data from participants with high BP (≥120/80 mm Hg) in the Multi-Ethnic Study of Atherosclerosis who had baseline CAC = 0 and underwent a second CAC scanning after 10 years. We used multivariable logistic regression to evaluate the association between various risk factors for atherosclerotic cardiovascular disease (ASCVD) and long-term CAC = 0. We also calculated the area under the receiver operating characteristic curve (AUC) to predict the phenotype of healthy arterial aging in this population. RESULTS We included 830 participants (37.6% male, mean ± SD age of 59.4 ± 8.7 years). During follow-up, 46.5% of participants (n = 386) had CAC = 0, and they were younger and had fewer metabolic syndrome components. Adding ASCVD risk factors to the demographic model (age, sex, and ethnicity) moderately increased the predictive value for long-term CAC = 0 (AUC: demographic model + ASCVD risk factors vs. demographic model alone, 0.653 vs. 0.597, p < .001; category net reclassification improvement = 0.104, p = .044; integrated discrimination improvement = 0.040, p < .001). CONCLUSION In individuals with high BP and initial CAC = 0, over 40% maintained CAC = 0 during a 10-year follow-up, which was associated with fewer ASCVD risk factors. These findings may have implications for preventive strategies in individuals with high BP.Clinical Trial registration number: The MESA was registered at clinical trials. gov as NCT00005487.KEY MESSAGESNearly half (46.5%) of individuals with high blood pressure (BP) maintained a long-term absence of coronary artery calcium (CAC) during a 10-year follow-up, and this was associated with a 66.6% lower risk of atherosclerotic cardiovascular disease (ASCVD) events compared to those who developed incident CAC.Individuals with high BP, who are usually assumed to have an increased risk of ASCVD, exhibit significant heterogeneity in their ASCVD risk; those who maintain CAC = 0 have a lower ASCVD risk.Adding overall ASCVD risk factors to demographic information resulted in a moderate improvement in predicting long-term CAC = 0.
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Affiliation(s)
- Si You
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jing-Wei Gao
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hai-Feng Zhang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhuo-Chao Xiong
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qing-Yun Hao
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jia-Jin Han
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jing-Feng Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shao-Ling Zhang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Pin-Ming Liu
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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Yang SC, Wu YJ, Wang WH, Wu FZ. Gender Differences in Subclinical Coronary Atherosclerosis in the Asian Population With a Coronary Artery Calcium Score of Zero. Am J Cardiol 2023; 203:29-36. [PMID: 37481809 DOI: 10.1016/j.amjcard.2023.06.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/15/2023] [Accepted: 06/24/2023] [Indexed: 07/25/2023]
Abstract
There is little evidence on whether gender difference influences the incidence of subclinical coronary atherosclerosis in Asian populations with a 0 score. In this study, we investigated the influence of age and gender on the extent of subclinical coronary atherosclerotic burden within a healthy Asian population with a 0 coronary artery calcium (CAC) score. A total of 934 participants (320 women and 614 men) from Taiwan's Han Chinese population with an initial CAC score of 0 were included in this study. They underwent 2 consecutive cardiac computed tomography scans over a clinical follow-up period of 4.35 ± 2.37 years. Clinical information and laboratory measurements were collected for analysis. Compared with the female group, the male group demonstrated significantly higher rates of subclinical CAC progression (27.4% vs 13.8%, p <0.001). Across the age group deciles (≤40, 41 to 50, 51 to 60, ≥61 years), the male group had a higher prevalence of subclinical CAC progression than the female group. For the subclinical CAC progression, the logistic regression model demonstrated that age, gender (male gender), cholesterol level, and follow-up period were statistically significant parameters. In conclusion, these findings support that a gender difference impacts the long-term natural course of subclinical coronary calcification conversion in women compared with men, suggesting that the gender-based effect on coronary CAC conversion plays an important role in subclinical coronary atherosclerosis risk stratification in personalized preventive medicine.
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Affiliation(s)
- Shu-Ching Yang
- Intelligent Electronic Commerce Research Center, Institute of Education, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Yun-Ju Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Wen-Hwa Wang
- Department of Cardiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Institute of Education, National Sun Yat-Sen University, Kaohsiung, Taiwan; School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming University, Taipei, Taiwan.
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Baskaran L, Lee JK, Ko MSM, Al’Aref SJ, Neo YP, Ho JS, Huang W, Yoon YE, Han D, Nakanishi R, Tan SY, Al-Mallah M, Budoff MJ, Shaw LJ. Comparing the pooled cohort equations and coronary artery calcium scores in a symptomatic mixed Asian cohort. Front Cardiovasc Med 2023; 10:1059839. [PMID: 36733301 PMCID: PMC9887040 DOI: 10.3389/fcvm.2023.1059839] [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: 10/02/2022] [Accepted: 01/02/2023] [Indexed: 01/18/2023] Open
Abstract
Background The value of pooled cohort equations (PCE) as a predictor of major adverse cardiovascular events (MACE) is poorly established among symptomatic patients. Coronary artery calcium (CAC) assessment further improves risk prediction, but non-Western studies are lacking. This study aims to compare PCE and CAC scores within a symptomatic mixed Asian cohort, and to evaluate the incremental value of CAC in predicting MACE, as well as in subgroups based on statin use. Methods Consecutive patients with stable chest pain who underwent cardiac computed tomography were recruited. Logistic regression was performed to determine the association between risk factors and MACE. Cohort and statin-use subgroup comparisons were done for PCE against Agatston score in predicting MACE. Results Of 501 patients included, mean (SD) age was 53.7 (10.8) years, mean follow-up period was 4.64 (0.66) years, 43.5% were female, 48.3% used statins, and 50.0% had no CAC. MI occurred in 8 subjects while 9 subjects underwent revascularization. In the general cohort, age, presence of CAC, and ln(Volume) (OR = 1.05, 7.95, and 1.44, respectively) as well as age and PCE score for the CAC = 0 subgroup (OR = 1.16 and 2.24, respectively), were significantly associated with MACE. None of the risk factors were significantly associated with MACE in the CAC > 0 subgroup. Overall, the PCE, Agatston, and their combination obtained an area under the receiver operating characteristic curve (AUC) of 0.501, 0.662, and 0.661, respectively. Separately, the AUC of PCE, Agatston, and their combination for statin non-users were 0.679, 0.753, and 0.734, while that for statin-users were 0.585, 0.615, and 0.631, respectively. Only the performance of PCE alone was statistically significant (p = 0.025) when compared between statin-users (0.507) and non-users (0.783). Conclusion In a symptomatic mixed Asian cohort, age, presence of CAC, and ln(Volume) were independently associated with MACE for the overall subgroup, age and PCE score for the CAC = 0 subgroup, and no risk factor for the CAC > 0 subgroup. Whilst the PCE performance deteriorated in statin versus non-statin users, the Agatston score performed consistently in both groups.
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Affiliation(s)
- Lohendran Baskaran
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore,*Correspondence: Lohendran Baskaran,
| | - Jing Kai Lee
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Michelle Shi Min Ko
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Subhi J. Al’Aref
- Division of Cardiology, Department of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Yu Pei Neo
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Jien Sze Ho
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Weiting Huang
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | | | - Donghee Han
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Rine Nakanishi
- Department of Cardiovascular Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Swee Yaw Tan
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Mouaz Al-Mallah
- Houston Methodist DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, TX, United States
| | - Matthew J. Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Leslee J. Shaw
- Icahn School of Medicine at Mount Sinai, Blavatnik Family Women’s Health Research Institute, New York, NY, United States
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Assessing Agreement When Agreement Is Hard to Assess-The Agatston Score for Coronary Calcification. Diagnostics (Basel) 2022; 12:diagnostics12122993. [PMID: 36553000 PMCID: PMC9777110 DOI: 10.3390/diagnostics12122993] [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: 09/26/2022] [Revised: 11/22/2022] [Accepted: 11/28/2022] [Indexed: 12/02/2022] Open
Abstract
Method comparison studies comprised simple scatterplots of paired measurements, a 45-degree line as benchmark, and correlation coefficients up to the advent of Bland-Altman analysis in the 1980s. The Agatston score for coronary calcification is based on computed tomography of the heart, and it originated in 1990. A peculiarity of the Agatston score is the often-observed skewed distribution in screening populations. As the Agatston score has manifested itself in preventive cardiology, it is of interest to investigate how reproducibility of the Agatston score has been established. This review is based on literature findings indexed in MEDLINE/PubMed before 20 November 2021. Out of 503 identified articles, 49 papers were included in this review. Sample sizes were highly variable (10-9761), the main focus comprised intra- and interrater as well as intra- and interscanner variability assessments. Simple analysis tools such as scatterplots and correlation coefficients were successively supplemented by first difference, later Bland-Altman plots; however, only very few publications were capable of deriving Limits of Agreement that fit the observed data visually in a convincing way. Moreover, several attempts have been made in the recent past to improve the analysis and reporting of method comparison studies. These warrant increased attention in the future.
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Liu T, Ji H, Jian X, Wang W, Fan Z. Novel nomogram for predicting coronary vulnerable plaque risk in patients with coronary artery disease. Biomark Med 2022; 16:1139-1149. [PMID: 36625283 DOI: 10.2217/bmm-2022-0855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Objective: To develop and validate a nomogram for predicting coronary vulnerable plaques (VPs) in coronary artery disease (CAD) patients. Methods: One hundred seventy-seven CAD patients were enrolled in the training group. Another 60 patients were included for validation. Based on the identified independent risk factors, a nomogram model was developed and then validated. Results: Type 2 diabetes, hypertension, neutrophil-to-lymphocyte ratio, low-density lipoprotein cholesterol, MCP-1 and MMP-9 were found to be independent risk factors for coronary VPs. Both internal and external validation showed this nomogram had satisfactory discrimination via receiver operating characteristic curves, calibration via calibration plots and clinical application values via decision curve analysis. Conclusion: The authors established a nomogram model predicting coronary VP risk in CAD patients with promising clinical application value.
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Affiliation(s)
- Tao Liu
- Department of Cardiovascular Diseases, Civil Aviation General Hospital, Civil Aviation Clinical Medical College of Peking University, Beijing, China
| | - Hanhua Ji
- Department of Cardiovascular Diseases, Civil Aviation General Hospital, Civil Aviation Clinical Medical College of Peking University, Beijing, China
| | - Xinwen Jian
- Department of Cardiovascular Diseases, Civil Aviation General Hospital, Civil Aviation Clinical Medical College of Peking University, Beijing, China
| | - Weiyi Wang
- Department of Cardiovascular Diseases, Civil Aviation General Hospital, Civil Aviation Clinical Medical College of Peking University, Beijing, China
| | - Zeyuan Fan
- Department of Cardiovascular Diseases, Civil Aviation General Hospital, Civil Aviation Clinical Medical College of Peking University, Beijing, China
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Jin L, Gao P, Wang K, Li J, Li M. Intraindividual evaluation of effects of image filter function on image quality in coronary computed tomography angiography. Front Cardiovasc Med 2022; 9:840735. [PMID: 36186969 PMCID: PMC9521173 DOI: 10.3389/fcvm.2022.840735] [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: 12/21/2021] [Accepted: 08/12/2022] [Indexed: 11/18/2022] Open
Abstract
Objectives To evaluate whether applying image filters (smooth 3D+ and edge-2) improves image quality in coronary CT angiography (CCTA). Methods Ninety patients (routine group) with suspected coronary artery diseases based on 16-cm wide coverage detector CT findings were retrospectively enrolled at a chest pain center from December 2019 to September 2021. Two image filters, smooth 3D+ and edge-2 available on the Advantage Workstation (AW) were subsequently applied to the images to generate the research group (SE group). Quantitative parameters, including CT value, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), image sharpness and image quality score, and diagnostic accuracy were compared between the two groups. Results A total of 900 segments from 270 coronary arteries in 90 patients were analyzed. SNR, CNR, and image sharpness for vessels and image quality scores in the SE group were significantly better than those in the routine group (all p < 0.001). The SE group showed a slightly higher negative predictive value (NPV) on the left anterior descending artery and right coronary artery (RCA) stenosis evaluations, as well as total NPV. The SE group also showed slightly higher sensitivity and accuracy than the routine group on RCA stenosis evaluation. Conclusion The use of an image filter combining smooth 3D+ and edge-2 on an AW could improve the image quality of CCTA and increase radiologists' diagnostic confidence.
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Affiliation(s)
- Liang Jin
- Radiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China
| | - Pan Gao
- Radiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China
| | - Kun Wang
- Radiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China
| | - Jianying Li
- CT Research Center, GE Healthcare China, Beijing, China
| | - Ming Li
- Radiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
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Peng J, Patel AD, Burch M, Rossiter S, Parker W, Rust S. Predicting Patient No-Shows in an Academic Pediatric Neurology Clinic. J Child Neurol 2022; 37:582-588. [PMID: 35593069 DOI: 10.1177/08830738221099735] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: No-shows can negatively affect patient care. Efforts to predict high-risk patients are needed. Previously, our epilepsy clinic identified patients with 2 or more no-shows or late cancelations in the past 18 months as being at high risk for no-shows. Our objective was to develop a model to accurately predict the risk of no-shows among patients with epilepsy seen at our neurology clinic. Methods: Using electronic health record data, we developed a least absolute shrinkage and selection operator (LASSO)-regularized logistic regression model to predict no-shows and compared its performance with our neurology clinic's above-mentioned ad hoc rule. Results: The ad hoc rule identified 13% of patients seen at our neurology clinic as high-risk patients for no-shows and resulted in a positive predictive value of 38%. In comparison, our LASSO model resulted in a positive predictive value of 48%. Our LASSO model identified that lack of private insurance, inactive Epic MyChart, greater past no-show rates, fewer appointment changes before the appointment date, and follow-up appointments were more likely to result in no-shows. Conclusions: Our LASSO model outperformed the ad hoc rule used by our neurology clinic in predicting patients at high risk for no-shows. Social workers can use the no-show risk scores generated by our LASSO model to prioritize high-risk patients for targeted intervention to reduce no-shows at our neurology clinic.
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Affiliation(s)
- Jin Peng
- Information Technology Research & Innovation, 2650Nationwide Children's Hospital, Columbus, OH, USA
| | - Anup D Patel
- Division of Neurology, Nationwide Children's Hospital, Columbus, OH, USA.,The Center for Clinical Excellence, Nationwide Children's Hospital, Columbus, OH, USA
| | - Maggie Burch
- Division of Neurology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Samantha Rossiter
- Division of Rheumatology, Nationwide Children's Hospital, Columbus, OH, USA
| | - William Parker
- Division of Neurology, Nationwide Children's Hospital, Columbus, OH, USA.,The Center for Clinical Excellence, Nationwide Children's Hospital, Columbus, OH, USA
| | - Steve Rust
- Information Technology Research & Innovation, 2650Nationwide Children's Hospital, Columbus, OH, USA
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Lei C, Gao Q, Wei R, Li Q, Liu X, Wu L, Yao Y, Fan H, Zheng Z. Fractal Geometry Illustrated Left Atrial Appendage Morphology That Predicted Thrombosis and Stroke in Patients With Atrial Fibrillation. Front Cardiovasc Med 2022; 9:779528. [PMID: 35620513 PMCID: PMC9127617 DOI: 10.3389/fcvm.2022.779528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background This study aims to correlate the morphological complexity of left atrial appendage (LAA) with thrombosis and stroke in patients with atrial fibrillation (AF). Methods The training cohort consisted of 46 patients with AF (age 55.8 ± 7.2 years, 73.9% men) who were referred for radiofrequency catheter ablation. An independent validation cohort consisting of 443 patients with AF was enrolled for further verification. All patients in the training cohort underwent both transesophageal echocardiography (TEE) and enhanced computed tomography (CT). Fractal dimension (FD) analysis was performed to evaluate the morphological complexity of LAAs quantitatively. Clinical and imaging manifestations, FD of LAAs, and diagnostic accuracy were investigated and compared between patients with AF in both training and validation cohorts. Results In the training cohort, LAAs (n = 22) with thrombi had significantly higher FD than those without thrombi (n = 24) h 0.44 ± 0.07 vs. 2.35 ± 0.11, p = 0.003). Receiver-operating characteristic (ROC) analysis suggested that the diagnostic accuracy of FD combined with a CHA2DS2-VaSc score was significantly higher than that of the CHA2DS2-VaSc score alone in low- to moderate-risk patients with AF (area under the curve 0.8479 vs. 0.6958, p = 0.009). The results were also validated in an independent external validation cohort and demonstrated that increased FD was associated with stroke. Hemodynamic analysis revealed that LAAs with thrombi and high FD were prone to blood stasis and lower blood flow rate. Conclusion LAA morphological complexity is closely associated with thrombosis and stroke in patients with paroxysmal AF. A new risk assessment system combining CHA2DS2-VaSc score and FD has a higher diagnostic accuracy in predicting LAA thrombosis.
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Affiliation(s)
- Chuxiang Lei
- State Key Laboratory of Cardiovascular Diseases, Department of Cardiac Surgery, National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Qi Gao
- School of Aeronautics and Astronautics, Institute of Fluid Engineering, Zhejiang University, Hangzhou, China
| | - Runjie Wei
- Hangzhou Shengshi Technology Co., Ltd., Hangzhou, China
| | - Qijie Li
- Hangzhou Shengshi Technology Co., Ltd., Hangzhou, China
| | - Xingli Liu
- Hangzhou Shengshi Technology Co., Ltd., Hangzhou, China
| | - Lingmin Wu
- State Key Laboratory of Cardiovascular Diseases, Department of Cardiac Surgery, National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Yao
- State Key Laboratory of Cardiovascular Diseases, Department of Cardiac Surgery, National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Hongguang Fan
- State Key Laboratory of Cardiovascular Diseases, Department of Cardiac Surgery, National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Hongguang Fan,
| | - Zhe Zheng
- State Key Laboratory of Cardiovascular Diseases, Department of Cardiac Surgery, National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
- Zhe Zheng,
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Han C, Kang KW, Kim TY, Uhm JS, Park JW, Jung IH, Kim M, Bae S, Lim HS, Yoon D. Artificial Intelligence-Enabled ECG Algorithm for the Prediction of Coronary Artery Calcification. Front Cardiovasc Med 2022; 9:849223. [PMID: 35463761 PMCID: PMC9019148 DOI: 10.3389/fcvm.2022.849223] [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: 01/06/2022] [Accepted: 03/07/2022] [Indexed: 12/28/2022] Open
Abstract
Coronary artery calcium (CAC), which can be measured in various types of computed tomography (CT) examinations, is a hallmark of coronary artery atherosclerosis. However, despite the clinical value of CAC scores in predicting cardiovascular events, routine measurement of CAC scores is limited due to high cost, radiation exposure, and lack of widespread availability. It would be of great clinical significance if CAC could be predicted by electrocardiograms (ECGs), which are cost-effective and routinely performed during various medical checkups. We aimed to develop binary classification artificial intelligence (AI) models that predict CAC using only ECGs as input. Moreover, we aimed to address the generalizability of our model in different environments by externally validating our model on a dataset from a different institution. Among adult patients, standard 12-lead ECGs were extracted if measured within 60 days before or after the CAC scores, and labeled with the corresponding CAC scores. We constructed deep convolutional neural network models based on residual networks using only the raw waveforms of the ECGs as input, predicting CAC at different levels, namely CAC score ≥100, ≥400 and ≥1,000. Our AI models performed well in predicting CAC in the training and internal validation dataset [area under the receiver operating characteristics curve (AUROC) 0.753 ± 0.009, 0.802 ± 0.027, and 0.835 ± 0.024 for the CAC score ≥100, ≥400, and ≥1,000 model, respectively]. Our models also performed well in the external validation dataset (AUROC 0.718, 0.777 and 0.803 for the CAC score ≥100, ≥400, and ≥1,000 model, respectively), indicating that our model can generalize well to different but plausibly related populations. Model performance in terms of AUROC increased in the order of CAC score ≥100, ≥400, and ≥1,000 model, indicating that higher CAC scores might be associated with more prominent structural changes of the heart detected by the model. With our AI models, a substantial proportion of previously unrecognized CAC can be afforded with a risk stratification of CAC, enabling initiation of prophylactic therapy, and reducing the adverse consequences related to ischemic heart disease.
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Affiliation(s)
- Changho Han
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, South Korea
| | - Ki-Woon Kang
- Division of Cardiology, College of Medicine, Heart Research Institute, Chung-Ang University Hospital, Chung-Ang University, Seoul, South Korea
| | | | - Jae-Sun Uhm
- Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Je-Wook Park
- Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - In Hyun Jung
- Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Minkwan Kim
- Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - SungA Bae
- Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Hong-Seok Lim
- Department of Cardiology, Ajou University School of Medicine, Suwon, South Korea
| | - Dukyong Yoon
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, South Korea.,BUD.on Inc., Seoul, South Korea.,Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea
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11
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Pezel T, Sideris G, Dillinger JG, Logeart D, Manzo-Silberman S, Cohen-Solal A, Beauvais F, Devasenapathy N, Laissy JP, Henry P. Coronary Computed Tomography Angiography Analysis of Calcium Content to Identify Non-culprit Vulnerable Plaques in Patients With Acute Coronary Syndrome. Front Cardiovasc Med 2022; 9:876730. [PMID: 35498013 PMCID: PMC9051337 DOI: 10.3389/fcvm.2022.876730] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 03/22/2022] [Indexed: 12/26/2022] Open
Abstract
Background Aside from the culprit plaque, the presence of vulnerable plaques in patients with acute coronary syndrome (ACS) may be associated with future cardiac events. A link between calcification and plaque rupture has been previously described. Aim To assess whether analysis of the calcium component of coronary plaques using CT angiography, coronary computed tomographic angiography (CCTA) can help to detect additional vulnerable plaques in patients with non-ST elevation myocardial infarction (NSTEMI). Materials And Methods Cross sectional study of consecutive patients referred for NSTEMI from 30 July to 30 August 2018 with CCTA performed before coronary angiography with systematic optical coherence tomography (OCT) analysis of all coronary arteries within 24 h of clinical onset of NSTEMI. Three types of plaques were defined: culprit plaques defined by angiography (vulnerable culprit plaques–VCP) – plaques with a fibrous cap thickness < 65 microns or thrombus in OCT (vulnerable non-culprit plaque–VNCP) – plaques with a fibrous cap thickness ≥ 65 microns in OCT (stable plaque–SP). Results A total of 134 calcified plaques were identified in 29 patients (73% male, 59 ± 14 years) with 29(22%) VCP, 28(21%) VNCP and 77(57%) SP. Using CCTA analysis of the calcium component, factors associated with vulnerable plaques were longer calcification length, larger calcification volume, lower calcium mass, higher Agatston score plaque-specific (ASp), presence of spotty calcifications and an intimal position in the wall. In multivariate analysis, ASp, calcification length and spotty calcifications were independently associated to vulnerable plaques. There was no difference between VCP and VNCP. Conclusions CCTA analysis of calcium component of the plaque could help to identify additional vulnerable plaques in NSTEMI patients.
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Affiliation(s)
- Théo Pezel
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
- Department of Radiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
- *Correspondence: Théo Pezel,
| | - Georgios Sideris
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Jean-Guillaume Dillinger
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Damien Logeart
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Stéphane Manzo-Silberman
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Alain Cohen-Solal
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Florence Beauvais
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | | | - Jean-Pierre Laissy
- Department of Radiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Patrick Henry
- Department of Cardiology, Lariboisiere Hospital, Assistance Publique – Hôpitaux de Paris (APHP), University of Paris, Paris, France
- Patrick Henry,
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12
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Covas P, De Guzman E, Barrows I, Bradley AJ, Choi BG, Krepp JM, Lewis JF, Katz R, Tracy CM, Zeman RK, Earls JP, Choi AD. Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis. Front Cardiovasc Med 2022; 9:839400. [PMID: 35387447 PMCID: PMC8977643 DOI: 10.3389/fcvm.2022.839400] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 02/03/2022] [Indexed: 12/03/2022] Open
Abstract
Coronary artery disease is a leading cause of death worldwide. There has been a myriad of advancements in the field of cardiovascular imaging to aid in diagnosis, treatment, and prevention of coronary artery disease. The application of artificial intelligence in medicine, particularly in cardiovascular medicine has erupted in the past decade. This article serves to highlight the highest yield articles within cardiovascular imaging with an emphasis on coronary CT angiography methods for % stenosis evaluation and atherosclerosis quantification for the general cardiologist. The paper finally discusses the evolving paradigm of implementation of artificial intelligence in real world practice.
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Affiliation(s)
- Pedro Covas
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Eison De Guzman
- Department of Internal Medicine, The George Washington University School of Medicine, Washington, DC, United States
| | - Ian Barrows
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Andrew J. Bradley
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Brian G. Choi
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
- Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Joseph M. Krepp
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Jannet F. Lewis
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Richard Katz
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Cynthia M. Tracy
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Robert K. Zeman
- Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States
| | - James P. Earls
- Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States
| | - Andrew D. Choi
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States
- Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States
- *Correspondence: Andrew D. Choi
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13
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Li PY, Chen RY, Wu FZ, Mar GY, Wu MT, Wang FW. Use of Coronary Computed Tomography Angiography to Screen Hospital Employees with Cardiovascular Risk Factors. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:5462. [PMID: 34065262 PMCID: PMC8160889 DOI: 10.3390/ijerph18105462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/11/2021] [Accepted: 05/13/2021] [Indexed: 11/16/2022]
Abstract
The objective of this study was to determine how coronary computed tomography angiography (CCTA) can be employed to detect coronary artery disease in hospital employees, enabling early treatment and minimizing damage. All employees of our hospital were assessed using the Framingham Risk Score. Those with a 10-year risk of myocardial infarction or death of >10% were offered CCTA; the Coronary Artery Disease Reporting and Data System (CAD-RADS) score was the outcome. A total of 3923 hospital employees were included, and the number who had received CCTA was 309. Among these 309, 31 (10.0%) had a CAD-RADS score of 3-5, with 10 of the 31 (32.3%) requiring further cardiac catheterization; 161 (52.1%) had a score of 1-2; and 117 (37.9%) had a score of 0. In the multivariate logistic regression, only age of ≥ 55 years (p < 0.05), hypertension (p < 0.05), and hyperlipidemia (p < 0.05) were discovered to be significant risk factors for a CAD-RADS score of 3-5. Thus, regular and adequate control of chronic diseases is critical for patients, and more studies are required to be confirmed if there are more significant risk factors.
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Affiliation(s)
- Po-Yi Li
- Department of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; (P.-Y.L.); (R.-Y.C.)
| | - Ru-Yih Chen
- Department of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; (P.-Y.L.); (R.-Y.C.)
| | - Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; (F.-Z.W.); (M.-T.W.)
| | - Guang-Yuan Mar
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan;
| | - Ming-Ting Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; (F.-Z.W.); (M.-T.W.)
| | - Fu-Wei Wang
- Department of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; (P.-Y.L.); (R.-Y.C.)
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14
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Hsiao CC, Teng PH, Wu YJ, Shen YW, Mar GY, Wu FZ. Severe, but not mild to moderate, non-alcoholic fatty liver disease associated with increased risk of subclinical coronary atherosclerosis. BMC Cardiovasc Disord 2021; 21:244. [PMID: 34011282 PMCID: PMC8132380 DOI: 10.1186/s12872-021-02060-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/12/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is associated with high risk of cardiovascular disease. The prevalence is increasing to 45-65% in the general population with routine health check-up, and most subjects have the mild degree NAFLD in recent years. Moreover, there are no studies on the association between NAFLD severity and coronary atherosclerosis in the real-world setting by ultrasonography. METHODS The aim of this study was to determine the relationship between the severity of NAFLD and subclinical coronary atherosclerosis. Overall, 817 subjects meet criteria for NAFLD were enrolled in the retrospective cohort study (155 subjects were excluded). The severity of NAFLD was divided into the normal, mild, moderate and severe degree based on the finding of abdominal ultrasonography. The assessment of coronary atherosclerosis was based on CAC scan/coronary CT angiography finding in terms of CAC score ≧ 100, CAC score ≧ 400, CAD-RADS ≧ 3 and presence of vulnerable plaque(s). RESULTS A significant linear trend was observed between the severity of NAFLD and subclinical coronary atherosclerosis. Compared with the reference group (including normal, mild, and moderate NAFLD), severe degree NAFLD was the independently associated risk of subclinical coronary atherosclerosis in term of CAC score ≧ 100, CAC score ≧ 400, CAD-RADS ≧ 3 and presence of vulnerable plaque(s) based on binary logistic regression after adjustment for FRS score and body fat percentage. CONCLUSIONS Severe degree, but not mild to moderate, was associated with high risk of subclinical coronary atherosclerosis, independently of FRS score and body-fat percentage.
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Affiliation(s)
- Chia-Chi Hsiao
- Section of Thoracic and Circulation Imaging, Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan.,Department of Medical Imaging and Radiology, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan
| | - Pai-Hsueh Teng
- Section of Thoracic and Circulation Imaging, Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan.,Department of Medical Imaging and Radiology, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan
| | - Yun-Ju Wu
- Section of Thoracic and Circulation Imaging, Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan
| | - Yi-Wen Shen
- Section of Thoracic and Circulation Imaging, Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan
| | - Guang-Yuan Mar
- Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Fu-Zong Wu
- Section of Thoracic and Circulation Imaging, Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan. .,Department of Medical Imaging and Radiology, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan. .,Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan. .,Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
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