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Zormpas G, Boulmpou A, Potoupni V, Siskos F, Chatzipapa N, Fragakis N, Doumas M, Kassimis G, Vassilikos V, Papadopoulos CE. Identifying the Role of Flow-Mediated Dilatation Assessment in Acute Coronary Syndromes: A Systematic Review. Cardiol Rev 2024:00045415-990000000-00323. [PMID: 39254543 DOI: 10.1097/crd.0000000000000768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
In the context of the global burden of cardiovascular disease, the development of novel, patient-targeted diagnostic and therapeutic strategies is of paramount importance. Acute coronary syndromes (ACS) comprise a subset of cardiovascular disease, with constantly increasing prevalence requiring urgent attention. Flow-mediated dilatation (FMD), a noninvasive method for the evaluation of endothelial function, has been previously implemented in patients with ACS. A systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted in order to identify all relevant studies assessing the implementation of FMD among patients with ACS. Our review reflects an effort to present all available data regarding the role of FMD to date, a valuable noninvasive and easy accessible diagnostic tool, in the prognosis of patients with ACS. FMD evaluation in patients with ACS reveals a decline in values, indicative of the presence of endothelial function among this distinct patient group. FMD has also been used to assess the response to various treatments, as well as to predict major adverse cardiovascular events. Dynamic responses to interventions highlights its potential in the evolving field of interventional cardiology.
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Affiliation(s)
- Georgios Zormpas
- From the Second Department of Cardiology, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - Aristi Boulmpou
- Third Department of Cardiology, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - Victoria Potoupni
- Third Department of Cardiology, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - Fotios Siskos
- Second Propaedeutic Department of Internal Medicine, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - Nikoleta Chatzipapa
- Second Propaedeutic Department of Internal Medicine, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
- Laboratory of Chemical and Environmental Technology, Department of Chemistry, Aristotle University of Thessaloniki, Greece
| | - Nikolaos Fragakis
- From the Second Department of Cardiology, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - Michael Doumas
- Second Propaedeutic Department of Internal Medicine, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - George Kassimis
- From the Second Department of Cardiology, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - Vassilios Vassilikos
- Third Department of Cardiology, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
| | - Christodoulos E Papadopoulos
- Third Department of Cardiology, Aristotle University of Thessaloniki, Ippokratio General Hospital of Thessaloniki, Greece
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Zhang J, Wang X, Tian W, Wang T, Jia J, Lai R, Wang T, Zhang Z, Song L, Ju J, Xu H. The effect of various types and doses of statins on C-reactive protein levels in patients with dyslipidemia or coronary heart disease: A systematic review and network meta-analysis. Front Cardiovasc Med 2022; 9:936817. [PMID: 35966518 PMCID: PMC9363636 DOI: 10.3389/fcvm.2022.936817] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/04/2022] [Indexed: 11/25/2022] Open
Abstract
Objective The objective of this study was to measure the efficacy of various types and dosages of statins on C-reactive protein (CRP) levels in patients with dyslipidemia or coronary heart disease. Methods Randomized controlled trials were searched from PubMed, Embase, Cochrane Library, OpenGray, and ClinicalTrials.gov. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for data extraction and synthesis. The pairwise meta-analysis compared statins and controls using a random-effects model, and a network meta-analysis compared the types and dosages of statins using the Bayesian random-effects model. The PROSPERO registration number is CRD42021242067. Results The study included 37 randomized controlled trials with 17,410 participants and 20 interventions. According to the pairwise meta-analysis, statins significantly decreased CRP levels compared to controls (weighted mean difference [WMD] = −0.97, 95% confidence interval [CI] [−1.31, −0.64], P < 0.0001). In the network meta-analysis, simvastatin 40 mg/day appeared to be the best strategy for lowering CRP (Rank P = 0.18, WMD = −4.07, 95% CI = [−6.52, −1.77]). The same was true for the high-sensitivity CRP, non-acute coronary syndrome (ACS), <12 months duration, and clear measurement subgroups. In the CRP subgroup (rank P = 0.79, WMD = −1.23, 95% CI = [−2.48, −0.08]) and ≥12-month duration subgroup (Rank P = 0.40, WMD = −2.13, 95% CI = [−4.24, −0.13]), atorvastatin 80 mg/day was most likely to be the best. There were no significant differences in the dyslipidemia and ACS subgroups (P > 0.05). Node-splitting analysis showed no significant inconsistency (P > 0.05), except for the coronary heart disease subgroup. Conclusion Statins reduced serum CRP levels in patients with dyslipidemia or coronary heart disease. Simvastatin 40 mg/day might be the most effective therapy, and atorvastatin 80 mg/day showed the best long-term effect. This study provides a reference for choosing statin therapy based on LDL-C and CRP levels.
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Affiliation(s)
- Jie Zhang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Xinyi Wang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wende Tian
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, China
| | - Tongxin Wang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Jundi Jia
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Runmin Lai
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, China
| | - Tong Wang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Zihao Zhang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Luxia Song
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Jianqing Ju
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Jianqing Ju
| | - Hao Xu
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Hao Xu
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Lu H, Lee J, Jakl M, Wang Z, Cervinka P, Bezerra HG, Wilson DL. Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography. Sci Rep 2020; 10:2150. [PMID: 32034252 PMCID: PMC7005885 DOI: 10.1038/s41598-020-59212-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 10/24/2019] [Indexed: 11/09/2022] Open
Abstract
Intravascular optical coherence tomography (IVOCT) is used to assess stent tissue coverage and malapposition in stent evaluation trials. We developed the OCT Image Visualization and Analysis Toolkit for Stent (OCTivat-Stent), for highly automated analysis of IVOCT pullbacks. Algorithms automatically detected the guidewire, lumen boundary, and stent struts; determined the presence of tissue coverage for each strut; and estimated the stent contour for comparison of stent and lumen area. Strut-level tissue thickness, tissue coverage area, and malapposition area were automatically quantified. The software was used to analyze 292 stent pullbacks. The concordance-correlation-coefficients of automatically measured stent and lumen areas and independent manual measurements were 0.97 and 0.99, respectively. Eleven percent of struts were missed by the software and some artifacts were miscalled as struts giving 1% false-positive strut detection. Eighty-two percent of uncovered struts and 99% of covered struts were labeled correctly, as compared to manual analysis. Using the highly automated software, analysis was harmonized, leading to a reduction of inter-observer variability by 30%. With software assistance, analysis time for a full stent analysis was reduced to less than 30 minutes. Application of this software to stent evaluation trials should enable faster, more reliable analysis with improved statistical power for comparing designs.
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Affiliation(s)
- Hong Lu
- Microsoft, Azure Global, Cambridge, MA, 02142, USA.,Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Juhwan Lee
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Martin Jakl
- University of Defense, Faculty of Military Health Sciences, Hradec Kralove, Czech Republic
| | - Zhao Wang
- Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Pavel Cervinka
- Department of Cardiology, Krajska zdravotni a.s., Masaryk Hospital, UJEP Usti nad Labem, Usti nad Labem, Czech Republic
| | - Hiram G Bezerra
- Cardiovascular Imaging Core Laboratory, Harrington Heart & Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA
| | - David L Wilson
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA. .,Department of Radiology, Case Western Reserve University, Cleveland, OH, 44106, USA.
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