PRODUÇÃO ACADÊMICA Repositório Acadêmico da Graduação (RAG) TCC Medicina
Use este identificador para citar ou linkar para este item: https://repositorio.pucgoias.edu.br/jspui/handle/123456789/8848
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dc.creatorBarbosa, Isabella Oliveira Freitaspt_BR
dc.date.accessioned2025-04-01T20:13:23Z-
dc.date.available2025-04-01T20:13:23Z-
dc.date.issued2024-10-18-
dc.identifier.urihttps://repositorio.pucgoias.edu.br/jspui/handle/123456789/8848-
dc.description.sponsorshipNão recebi financiamentopt_BR
dc.languageengpt_BR
dc.publisherPontifícia Universidade Católica de Goiáspt_BR
dc.rightsAcesso Abertopt_BR
dc.subject: Atrial Fibrillation. Meta-analysis. Photoplethysmography. Smartphone. Telehealthpt_BR
dc.titleSmartphone-based Applications for Atrial Fibrillation Detection: A Systematic Review and Meta-analysis of Diagnostic Test Accuracypt_BR
dc.typeTrabalho de Conclusão de Cursopt_BR
dc.contributor.advisor1Menezes Junior, Antônio da Silvapt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/4141970817482471pt_BR
dc.contributor.referee1Silva, Antonio Márcio Teodoro Cordeiropt_BR
dc.contributor.referee1Latteshttp://lattes.cnpq.br/8550177354539916pt_BR
dc.description.resumoBackground: Atrial fibrillation (AF) burden is strongly associated with an increased risk of stroke, which, in most cases, could have been prevented through earlier detection of AF and the timely initiation of anticoagulation therapy. Smartphone devices can provide a simple, non-invasive, cost-effective early AF detection solution. Methods: PubMed, Embase, and Scopus databases were searched for studies comparing smartphone-based photoplethysmography (PPG) with standard electrocardiogram (ECG) for AF detection. A bivariate random-effects model with a 95% confidence interval (CI) was applied to generate the summary receiver operating characteristic (SROC) curve. Results: Fourteen studies were included, comprising 5,090 patients with an AF prevalence of 31.6%. The pooled sensitivity and specificity were 0.96 (95% CI, 0.93–0.97) and 0.97 (95% CI, 0.95–0.98). The area under the SROC curve was 0.98 (95% CI, 0.94–0.99). The diagnostic odds ratio was 960 (95% CI, 439–2,104), with significant heterogeneity (I² = 51%). The projected positive and negative predictive values were 66.5% and 99.7%, respectively, in the elderly population aged >65 years and 39.2% and 99.9% in the general population. Conclusion: Smartphone-based PPG demonstrated relatively high sensitivity and specificity and appears capable of ruling out AF. Patients aged >65 are more likely to benefit from AF screening.pt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEscola de Ciências Médicas e da Vidapt_BR
dc.publisher.initialsPUC Goiáspt_BR
dc.subject.cnpqCNPQ::CIENCIAS DA SAUDEpt_BR
dc.subject.cnpqCNPQ::CIENCIAS DA SAUDE::MEDICINApt_BR
dc.subject.cnpqCNPQ::CIENCIAS DA SAUDE::MEDICINA::CLINICA MEDICA::CARDIOLOGIApt_BR
dc.degree.graduationMedicinapt_BR
dc.degree.levelGraduaçãopt_BR
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