NELSON SAMESIMA
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/65, Hospital das Clínicas, Faculdade de Medicina
LIM/65, Hospital das Clínicas, Faculdade de Medicina
42 resultados
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conferenceObject Controversial and similar aspects of Brugada syndrome and J-wave patterns: the vectorcardiogram point of view(2016) PASTORE, C. A.; SAMESIMA, N.; PEREIRA FILHO, H. G.; MADALOSO, B. A.- Contribution of the vectorcardiogram in the differential diagnosis of Brugada electrocardiographic pattern(2022) MADALOSO, Bruna A.; SAMESIMA, Nelson; TOBIAS, Nancy M. M. O.; TAVARES, Caio A. M.; FILHO, Horacio G. Pereira; FACIN, Mirella E.; PASTORE, C. A.Background: The electrocardiogram (ECG) is a powerful tool for differential diagnosis among a group of pathologies with different therapeutic approaches/prognoses, the so-called J-wave syndrome. The vectorcardiogram (VCG) can be used as a complementary method to the ECG in several dubious electrocardiographic alterations. Objective: We carried out a VCG analysis alter conceiving and measuring a novel parameter (JT-distance) that allows diagnosis of the Brugada ECG pattern. Methods: A retrospective cohort study selected ninety-six ECGs with J-point elevation in V-1/V-2, ECG superior leads and VCGs, all performed on the same day. A new VCG measurement by Frank method (IT-distance) was conceived and designed in transverse and right sagittal planes by 3 lines drawn 1) at the final third of the QRS loop, comprehending the J-point; 2) at the initial portion of the T loop; 3) a parallel of the J-point line at the beginning of the T loop. JT measure was determined by the distance between parallels. A validation cohort was established in a new sample of thirty-five patients. Results: JT-distance >= 1.5 mm (tranverse plane) and JT-distance >1.25 mm, in the sagittal plane, differentiated Brugada type-1 from Brugada type-2, early repolarization and others, with 95% sensitivity and 68% specificity. JT-distance <1.5 mm (transverse plane) and JT >1.25 mm (sagittal plane) had 100% sensitivity and 85% specificity for Brugada type-1 diagnosis. A validation cohort showed very similar Cohen's kappa levels (0.65 and 0.77, test and validation cohorts, respectively), with overlapping 95% confidence intervals. Conclusions: The novel vectorcardiogram measurement (JT-distance) presented a new diagnostic criterion to identify Brugada pattern. Nevertheless, prospective studies should be performed by other centers to confirm these findings.
- Brazilian Society of Cardiology Guidelines on the Analysis and Issuance of Electrocardiographic Reports-2022(2022) SAMESIMA, Nelson; GOD, Epotamenides Good; KRUSE, Jose Claudio Lupi; LEAL, Marcelo Garcia; PINHO, Claudio; FRANCA, Francisco Faustino de A. C.; PIMENTA, Joao; CARDOSO, Acacio Fernandes; PAIXAO, Adail; FONSECA, Alfredo; PEREZ-RIERA, Andres R.; RIBEIRO, Antonio Luiz Pinho; MADALOSO, Bruna Affonso; LUNA FILHO, Braulio; OLIVEIRA, Carlos Alberto Rodrigues de; GRUPI, Cesar Jose; MOREIRA, Dalmo Antonio Ribeiro; KAISER, Elisabeth; PAIXAO, Gabriela Miana de Mattos; FEITOSA FILHO, Gilson; PEREIRA FILHO, Horacio Gomes; GRINDLER, Jose; AZIZ, Jose Luiz; MOLINA, Marcos Sleiman; FACIN, Mirella; TOBIAS, Nancy M. M. de Oliveira; OLIVEIRA, Patricia Alves de; SANCHES, Paulo Cesar R.; TEIXEIRA, Ricardo Alkmin; ATANES, Severiano Melo; PASTORE, Carlos Alberto
conferenceObject The Peguero-Lo Presti criteria has the highest diagnostic accuracy for the diagnosis of left ventricular hypertrophy in the elderly(2020) TAVARES, C. A. M.; SAMESIMA, N.; HAJJAR, L. A.; GODOY, L. C.; HIRANO, E. M. P.; FACIN, M.; JACOB FILHO, W.; FARKOUH, M. E.; PASTORE, C. A.- One-year Mortality after an Acute Coronary Event and its Clinical Predictors: The ERICO Study(2015) SANTOS, Itamar Souza; GOULART, Alessandra Carvalho; BRANDAO, Rodrigo Martins; SANTOS, Rafael Caire de Oliveira; BITTENCOURT, Marcio Sommer; SITNIK, Debora; PEREIRA, Alexandre Costa; PASTORE, Carlos Alberto; SAMESIMA, Nelson; LOTUFO, Paulo Andrade; BENSENOR, Isabela MartinsBackground: Information about post-acute coronary syndrome (ACS) survival have been mostly short-term findings or based on specialized, cardiology referral centers. Objectives: To describe one-year case-fatality rates in the Strategy of Registry of Acute Coronary Syndrome (ERICO) cohort, and to study baseline characteristics as predictors. Methods: We analyzed data from 964 ERICO participants enrolled from February 2009 to December 2012. We assessed vital status by telephone contact and official death certificate searches. The cause of death was determined according to the official death certificates. We used log-rank tests to compare the probabilities of survival across subgroups. We built crude and adjusted (for age, sex and ACS subtype) Cox regression models to study if the ACS subtype or baseline characteristics were independent predictors of all-cause or cardiovascular mortality. Results: We identified 110 deaths in the cohort (case-fatality rate, 12.0%). Age [Hazard ratio (HR) = 2.04 per 10 year increase; 95% confidence interval (95% CI) = 1.75-2.38], non-ST elevation myocardial infarction (HR = 3.82; 95% CI = 2.21-6.60) or ST elevation myocardial infarction (HR = 2.59; 95% CI = 1.38-4.89) diagnoses, and diabetes (HR = 1.78; 95% CI = 1.20-2.63) were significant risk factors for all-cause mortality in the adjusted models. We found similar results for cardiovascular mortality. A previous coronary artery disease diagnosis was also an independent predictor of all-cause mortality (HR = 1.61; 95% CI = 1.04-2.50), but not for cardiovascular mortality. Conclusions: We found an overall one-year mortality rate of 12.0% in a sample of post-ACS patients in a community, non-specialized hospital in Sao Paulo, Brazil. Age, ACS subtype, and diabetes were independent predictors of poor one-year survival for overall and cardiovascular-related causes.
bookPart Eletrocardiograma(2016) PASTORE, Carlos Alberto; SAMESIMA, Nelson; MUNERATO, Rafael; PEREIRA FILHO, Horacio Gomes- Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization(2023) DIAS, Felipe Meneguitti; RIBEIRO, Estela; MORENO, Ramon Alfredo; RIBEIRO, Adele Helena; SAMESIMA, Nelson; PASTORE, Carlos Alberto; KRIEGER, Jose Eduardo; GUTIERREZ, Marco AntonioThe electrocardiogram (ECG) serves as a valuable diagnostic tool, providing crucial information about life-threatening cardiac conditions such as atrial fibrillation and myocardial infarction. A prompt and efficient assessment of ECG exams in environments such as Emergency Rooms (ERs) can significantly enhance the chances of survival for high-risk patients. Despite the presence of numerous works on ECG classification, most of these studies have concentrated on one-dimensional ECG signals, which are commonly found in publicly available ECG datasets. Nevertheless, the practical relevance of such methods is limited in hospital settings, where ECG exams are usually stored as images. In this study, we have developed an artificial intelligence-driven screening system specifically designed to analyze 12-lead ECG images. Our proposed method has been trained on an extensive dataset comprising 99,746 12-lead ECG exams collected from the ambulatory section of a tertiary hospital. The primary goal was to precisely classify the exams into three classes: Normal (N), Atrial Fibrillation (AFib), and Other (O). The evaluation of our approach yielded AUROC scores of 93.2%, 99.2%, and 93.1% for N, AFib, and O, respectively. To further validate our approach, we conducted evaluations using the 2018 China Physiological Signal Challenge (CPSC) database. In this evaluation, we achieved AUROC scores of 91.8%, 97.5%, and 70.4% for the classes N, AFib, and O, respectively. Additionally, we assessed our method using 1,074 exams acquired in the ER and obtained AUROC values of 98.3%, 98.0%, and 97.7% for the classes N, AFib, and O, respectively. Furthermore, we developed and deployed a system with a trained model within the ER of a tertiary hospital for research purposes. This system automatically retrieves newly captured ECG chart images from the Picture Archiving and Communication System (PACS) within the ER. These images undergo necessary preprocessing steps and serve as input for our proposed classification method. This comprehensive approach established an efficient and versatile end-to-end framework for ECG classification. The results of our study highlight the potential of leveraging artificial intelligence in the screening of ECG exams, offering a promising solution for the rapid assessment and prioritization of patients in the ER.
- Applicability of the Electro-Vectorcardiogram in Current Clinical Practice(2019) PASTORE, Carlos Alberto; SAMESIMA, Nelson; PEREIRA FILHO, Horacio Gomes; TOBIAS, Nancy Maria Martins de Oliveira; MADALOSO, Bruna Affonso; FACIN, Mirella EsmanhottoThe electrocardiogram (ECG) has been reinvigorated by the identification of electrical alterations that were not definitely clarified before. In this context, and mainly regarding the definition of arrhythmogenic substrates, the association of the ECG with the vectorcardiogram (VCG) has gathered much more information about the cardiac electrical phenomena, thus allowing us to differentiate potentially fatal cases from benign ones. Obtaining a VCG concomitantly with the performance of an ECG has led to a significant gain in the definition of extremely sophisticated pathologies, which function suffer some type of structural or dynamic alterations, involving either the reduction or enhancement of ionic channels and currents. The classic aspects of the ECG/VCG association in the differential diagnosis of myocardial infarctions, conduction disorders, atrial and ventricular hypertrophies, and the correlations between these electrical disorders are still valid and assertive. The association of these pathologies is further clarified when they are seen through the ECG/VCG dyad. The three-dimensional spatial orientation of both the atrial and the ventricular activity provides a far more complete observation tool than the ECG linear form. The modern analysis of the ECG and its respective VCG, simultaneously obtained by the recent technique called electro-vectorcardiogram (ECG/VCG), brought a significant gain for the differential diagnosis of some pathologies. Therefore, we illustrate how this type of analysis can elucidate some of the most important diagnoses found in our daily clinical practice as cardiologists.
- Education and lifestyle measures for awareness of syncope prodroms to prevent syncope recurrence in schoolchildren(2021) MAIR, V.; SANTOS, F. R. A.; PEREIRA, H. G.; PASTORE, C. A.; SAMESIMA, N.; DINIZ, L. J.; TAKADA, J. Y.; MANSUR, A. P.; NAKAGAWA, N. K.
bookPart Os diagnósticos mais importantes no VCG(2016) PASTORE, Carlos Alberto; SAMESIMA, Nelson; MUNERATO, Rafael