Autor(es)

Tiago Paggi de Almeida ; Fernando Soares Schlindwein ; João Salinet ^[3] ; Xin Li ^[4] ; Gavin Shen-Wei Chu ; Jiun Haur Tuan ^[6] ; Peter James Stafford ^[7] ; G André Ng ; Diogo Coutinho Soriano ^[9]

• Tipo de documento: Artigo Científico
• Fonte: Res. Biomed. Eng.; v. 34, n. 4, p. 337-349, 2018-10-00.

Resumo

Abstract Introduction The temporal behavior of atrial electrograms (AEGs) collected during persistent atrial fibrillation (persAF) directly affects ablative treatment outcomes. We investigated different durations of AEGs collected during persAF using recurrence quantification analysis (RQA). Methods 797 bipolar AEGs with different durations (from 0.5 s to 8 s) from 18 patients were investigated. Four RQA-based attributes were evaluated based on AEG durations: determinism (DET); recurrence rate (RR); laminarity (LAM); and diagonal lines’ entropy (ENTR). The Spearman correlation (ρ) between each duration versus 8 s was calculated. AEG classification was performed following the CARTO criteria (Biosense Webster) and receiving operating characteristic (ROC) curves were created for the RQA variables. Results The RQA variables successfully discriminated the AEGs: the area under the ROC curves were as high as 0.70 for AEGs with 3.5 s or greater. Three types of AEGs were found using these variables: normal, fractionated and temporally unstable. The number of unstable AEGs decreased with longer AEG segments. Different AEG durations significantly affected the RQA variables (P<0.0001), with no statistical difference between the durations 6 s, 7 s and 8 s for DET, LAM and ENTR, and no difference between 7 s and 8 s for RR (P<0.0001). AEGs with 3 s or longer have shown ρ ≥ 80% for all variables. Conclusion The RQA variables have been shown effective in the characterization of AEGs collected during persAF with a shorter duration than current recommendations, which motivates their use for the characterization of atrial substrate during persAF ablation. (AU)

• Processo FAPESP: 15/12799-9 - 42th annual scientific meeting of Computing in Cardiology
• Beneficiário: João Loures Salinet Júnior
• Modalidade de apoio: Auxílio à Pesquisa - Reunião - Exterior
• Processo FAPESP: 17/00319-8 - Identificação do substrato atrial em pacientes com fibrilação atrial crônica utilizando modelos estatísticos multivariados e múltiplos atributos de eletrogramas atriais
• Beneficiário: Tiago Paggi de Almeida
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado