JOSE MARIANI JUNIOR
Projetos de Pesquisa
Unidades Organizacionais
LIM/11 - Laboratório de Cirurgia Cardiovascular e Fisiopatologia da Circulação, Hospital das Clínicas, Faculdade de Medicina
5 resultados
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- Position Statement of the Brazilian Cardiology Society and the Brazilian Society of Hemodynamics and Interventional Cardiology on Training Centers and Professional Certification in Hemodynamics and Interventional Cardiology-2020(2020) ARRUDA, Jose Airton de; LEMKE, Viviana de Mello Guzzo; MARIANI JUNIOR, Jose; BARBOSA, Adriano Henrique Pereira; QUADROS, Alexandre Schaan de; PEDRA, Carlos Augusto Cardoso; CARDOSO, Cristiano de Oliveira; GUERIOS, Enio Eduardo; RIBEIRO, Henrique Barbosa; GUBOLINO, Luiz Antonio; MACHADO, Mauricio Cavalieri; HINCAPIE, Mauricio Jaramillo; ARAUJO, Nelson Antonio Moura de; ROSSI FILHO, Raul Ivo; COSTA, Ricardo Alves da; GIOPPATO, Silvio
- Inflammatory Phenotype by OCT Coronary Imaging: Specific Features Among De Novo Lesions, In-Stent Neointima, and In-Stent Neo-Atherosclerosis(2022) PINHEIRO, Luiz Fernando M.; GARZON, Stefano; JR, Jose Mariani; PRADO, Guy F. Almeida; CAIXETA, Adriano Mendes; ALMEIDA, Breno Oliveira; LEMOS, Pedro AlvesBackground: Coronary stenosis can be caused de novo atherosclerosis, in-stent restenosis, and in-stent neoatherosclerosis, three entities that develop from a diverse pathophysiological milieu. Objective: This study aims to investigate, using optical coherence tomography (OCT), whether or not coronary lesions related to these processes differ in their local inflammatory profile. Methods: Retrospective analysis of patients with diagnosed or suspected coronary lesions who had undergone OCT imaging for clinical reasons. Macrophage and intra-plaque neovascularization were assessed by OCT and used as surrogates of local inflammation. A significance level of < 0.05 was adopted as statistically significant. Results: From the 121 lesions, 74 were de novo, 29 were restenosis, and 18 were neoatherosclerosis. Neovascularization was found in 65.8% of de novo, 10.3% in restenosis, and 94.4% in neoatherosclerosis (p<0.01 for all). The volume of neovascularization was different among lesion types (950 vs. 0 vs. 6220, respectively [median values in 1000 x mu m(3)/ mm]; p<0.01 for all), which were significantly higher in neoatherosclerosis and lower in restenosis. The presence of macrophages differed among the lesions (95.9% in de novo vs. 6.9% in restenosis vs. 100% in neoatherosclerosis [p<0.01 for all]). Moreover, the intensity of macrophagic infiltration was different among lesion types (2.5 vs. 0.0 vs. 4.5, respectively [median values of macrophage score]; p<0.01 for all), significantly higher in neoatheroscleosis and lower in restenosis. Conclusion: When compared using coronary OCT, de novo atherosclerosis, in-stent restenosis, and neoatherosclerosis presented markedly different inflammatory phenotypes.
- A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions(2015) FALCAO, Breno A. A.; FALCAO, Joao Luiz A. A.; MORAIS, Gustavo R.; SILVA, Rafael C.; LOPES, Augusto C.; SOARES, Paulo R.; MARIANI JR., Jose; KALIL-FILHO, Roberto; EDELMAN, Elazer R.; LEMOS, Pedro A.Background: Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions. Objective: to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions. Methods: Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI. Results: According to the new algorithm, ""Ectatic"" remodeling pattern was least common, ""Complete compensatory"" remodeling was present in approximately half of the instances, and ""Negative"" and ""Incomplete compensatory"" remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH. Conclusions: Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression.