ANTONIO DE PADUA MANSUR

(Fonte: Lattes)
Índice h a partir de 2011
14
Lattes
ResearcherID
ORCID
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Cardio-Pneumologia, Faculdade de Medicina - Docente
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina

Filtros

Limpar filtros

Configurações

Colaboração internacional: Inglaterra ×

Resultados de Busca

Agora exibindo 1 - 1 de 1
  • article 3 Citação(ões) na Scopus
    CPR Quality Assessment in Schoolchildren Training
    (2022) OLIVEIRA, Katia M. G.; CARMONA, Maria Jose C.; MANSUR, Antonio P.; TAKADA, Julio Y.; FIJACKO, Nino; SEMERARO, Federico; LOCKEY, Andrew; BOETTIGER, Bernd W.; NAKAGAWA, Naomi K.
    Whilst CPR training is widely recommended, quality of performance is infrequently explored. We evaluated whether a checklist can be an adequate tool for chest compression quality assessment in schoolchildren, compared with a real-time software. This observational study (March 2019-2020) included 104 schoolchildren with no previous CPR training (11-17 years old, 66 girls, 84 primary schoolchildren, 20 high schoolchildren). Simultaneous evaluations of CPR quality were performed using an observational checklist and real-time software. High-quality CPR was determined as a combination of 70% correct maneuvers in compression rate (100-120/min), depth (5-6 cm), and complete release, using a real-time software and three positive performance in skills using a checklist. We adjusted a multivariate logistic regression model for age, sex, and BMI. We found moderate to high agreement percentages in quality of CPR performance (rate: 68.3%, depth: 79.8%, and complete release: 91.3%) between a checklist and real-time software. Only 38.5% of schoolchildren (similar to 14 years-old, similar to 54.4 kg, and similar to 22.1 kg/m(2)) showed high-quality CPR. High-quality CPR was more often performed by older schoolchildren (OR = 1.43, 95%IC:1.09-1.86), and sex was not an independent factor (OR = 1.26, 95%IC:0.52-3.07). For high-quality CPR in schoolchildren, a checklist showed moderate to high agreement with real-time software. Better performance was associated with age regardless of sex and BMI.