ANA CLARA TUDE RODRIGUES
Projetos de Pesquisa
Unidades Organizacionais
Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina - Médico
3 resultados
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- Human versus Artificial Intelligence-Based Echocardiographic Analysis as a Predictor of Outcomes: An Analysis from the World Alliance Societies of Echocardiography COVID Study(2022) ASCH, Federico M.; DESCAMPS, Tine; SARWAR, Rizwan; KARAGODIN, Ilya; SINGULANE, Cristiane Carvalho; XIE, Mingxing; TUCAY, Edwin S.; RODRIGUES, Ana C. Tude; VASQUEZ-ORTIZ, Zuilma Y.; MONAGHAN, Mark J.; SALAZAR, Bayardo A. Ordonez; SOULAT-DUFOUR, Laurie; ALIZADEHASL, Azin; MOSTAFAVI, Atoosa; MOREO, Antonella; CITRO, Rodolfo; NARANG, Akhil; WU, Chun; ADDETIA, Karima; UPTON, Ross; WOODWARD, Gary M.; LANG, Roberto M.Background: Transthoracic echocardiography is the leading cardiac imaging modality for patients admitted with COVID-19, a condition of high short-term mortality. The aim of this study was to test the hypothesis that artificial intelligence (AI)-based analysis of echocardiographic images could predict mortality more accu-rately than conventional analysis by a human expert. Methods: Patients admitted to 13 hospitals for acute COVID-19 who underwent transthoracic echocardiogra-phy were included. Left ventricular ejection fraction (LVEF) and left ventricular longitudinal strain (LVLS) were obtained manually by multiple expert readers and by automated AI software. The ability of the manual and AI analyses to predict all-cause mortality was compared. Results: In total, 870 patients were enrolled. The mortality rate was 27.4% after a mean follow-up period of 230 6 115 days. AI analysis had lower variability than manual analysis for both LVEF (P = .003) and LVLS (P = .005). AI-derived LVEF and LVLS were predictors of mortality in univariable and multivariable regression analysis (odds ratio, 0.974 [95% CI, 0.956-0.991; P = .003] for LVEF; odds ratio, 1.060 [95% CI, 1.019-1.105; P = .004] for LVLS), but LVEF and LVLS obtained by manual analysis were not. Direct comparison of the pre-dictive value of AI versus manual measurements of LVEF and LVLS showed that AI was significantly better (P = .005 and P = .003, respectively). In addition, AI-derived LVEF and LVLS had more significant and stronger correlations to other objective biomarkers of acute disease than manual reads. Conclusions: AI-based analysis of LVEF and LVLS had similar feasibility as manual analysis, minimized variability, and consequently increased the statistical power to predict mortality. AI-based, but not manual, analyses were a significant predictor of in-hospital and follow-up mortality. (J Am Soc Echocardiogr 2022;35:1226-37.)
- Serum B-Type Natriuretic Peptide in the Initial Workup of Patients With New Onset Ascites: A Diagnostic Accuracy Study(2014) FARIAS, Alberto Q.; SILVESTRE, Odilson M.; GARCIA-TSAO, Guadalupe; SEGURO, Luis F. B. da Costa; MAZO, Daniel F. de Campos; BACAL, Fernando; ANDRADE, Jose L.; GONCALVES, Luciana L.; STRUNZ, Celia; RAMOS, Danusa S.; POLLI, Demerson; PUGLIESE, Vincenzo; RODRIGUES, Ana C. T.; FURTADO, Meive S.; CARRILHO, Flair J.; D'ALBUQUERQUE, Luiz A. C.Heart failure (HF) is, after cirrhosis, the second-most common cause of ascites. Serum B-type natriuretic peptide (BNP) plays an important role in the diagnosis of HF. Therefore, we hypothesized that BNP would be useful in the differential diagnosis of ascites. Consecutive patients with new onset ascites were prospectively enrolled in this cross-sectional study. All patients had measurements of serum-ascites albumin gradient (SAAG), total protein concentration in ascitic fluid, serum, and ascites BNP. We enrolled 218 consecutive patients with ascites resulting from HF (n = 44), cirrhosis (n = 162), peritoneal disease (n = 10), and constrictive pericarditis (n = 2). Compared to SAAG and/or total protein concentration in ascites, the test that best discriminated HF-related ascites from other causes of ascites was serum BNP. A cutoff of >364 pg/mL (sensitivity 98%, specificity 99%, and diagnostic accuracy 99%) had the highest positive likelihood ratio (168.1); that is, it was the best to rule in HF-related ascites. Conversely, a cutoff 182 pg/mL had the lowest negative likelihood ratio (0.0) and was the best to rule out HF-related ascites. These findings were confirmed in a 60-patient validation cohort. Conclusions: Serum BNP is more accurate than ascites analyses in the diagnosis of HF-related ascites. The workup of patients with new onset ascites could be streamlined by obtaining serum BNP as an initial test and could forego the need for diagnostic paracentesis, particularly in cases where the cause of ascites is uncertain and/or could be the result of HF. (Hepatology 2014;59:1043-1051)
- Percutaneous Treatment of Secondary Mitral Regurgitation by MitraClip: Mitra-FR vs. COAPT(2021) BARROS-GOMES, Sergio; TARASOUTCHI, Flavio; RODRIGUES, Ana Clara Tude; NHOLA, Lara Ferreira; LEMOS, Pedro Alves; MORHY, Samira Saady; FISCHER, Claudio Henrique; VIEIRA, Marcelo Luiz Campos