Leandro Pereira Garcia1, Camila Mariano Fernandes2, Jefferson Traebert3. 1. Universidade do Sul de Santa Catarina (UNISUL), Departamento de Ciências da Saúde, Palhoça, SC, Brazil. Electronic address: lpgarcia18@gmail.com. 2. Universidade Federal de Santa Catarina (UFSC), Departamento de Saúde Pública, Florianópolis, SC, Brazil. 3. Universidade do Sul de Santa Catarina (UNISUL), Departamento de Ciências da Saúde, Palhoça, SC, Brazil.
Abstract
OBJECTIVES: To analyze the risk factors for neonatal death in Florianópolis, the Brazilian city capital with the lowest infant mortality rate. METHOD: Data were extracted from a historical cohort with 15,879 live births. A model was used that included socioeconomic, behavioral, and health service use risk factors, as well as the Apgar score and biological factors. Risk factors were analyzed by hierarchical logistic regression. RESULTS: Based on the multivariate analysis, socioeconomic factors showed no association with death. Insufficient prenatal consultations showed an OR of 3.25 (95% CI: 1.70-6.48) for death. Low birth weight (OR 8.42; 95% CI: 3.45-21.93); prematurity (OR 5.40; 95% CI: 2.22-13.88); malformations (OR 4.42; 95% CI: 1.37-12.43); and low Apgar score at the first (OR 6.65; 95% CI: 3.36-12.94) and at the fifth (OR 19.78; 95% CI: 9.12-44.50) minutes, were associated with death. CONCLUSION: Differing from other studies, socioeconomic conditions were not associated with neonatal death. Insufficient prenatal consultations, low Apgar score, prematurity, low birth weight, and malformations showed an association, reinforcing the importance of prenatal access universalization and its integration with medium and high-complexity neonatal care services.
OBJECTIVES: To analyze the risk factors for neonatal death in Florianópolis, the Brazilian city capital with the lowest infant mortality rate. METHOD: Data were extracted from a historical cohort with 15,879 live births. A model was used that included socioeconomic, behavioral, and health service use risk factors, as well as the Apgar score and biological factors. Risk factors were analyzed by hierarchical logistic regression. RESULTS: Based on the multivariate analysis, socioeconomic factors showed no association with death. Insufficient prenatal consultations showed an OR of 3.25 (95% CI: 1.70-6.48) for death. Low birth weight (OR 8.42; 95% CI: 3.45-21.93); prematurity (OR 5.40; 95% CI: 2.22-13.88); malformations (OR 4.42; 95% CI: 1.37-12.43); and low Apgar score at the first (OR 6.65; 95% CI: 3.36-12.94) and at the fifth (OR 19.78; 95% CI: 9.12-44.50) minutes, were associated with death. CONCLUSION: Differing from other studies, socioeconomic conditions were not associated with neonatal death. Insufficient prenatal consultations, low Apgar score, prematurity, low birth weight, and malformations showed an association, reinforcing the importance of prenatal access universalization and its integration with medium and high-complexity neonatal care services.
Authors: Estela Blanco; Marcela Marin; Loreto Nuñez; Erika Retamal; Ximena Ossa; Katherine E Woolley; Tosin Oludotun; Suzanne E Bartington; Juana Maria Delgado-Saborit; Roy M Harrison; Pablo Ruiz-Rudolph; María Elisa Quinteros Journal: Rev Panam Salud Publica Date: 2022-05-02
Authors: Karla Eveline Ximenes de França; Mirella Bezerra Rodrigues Vilela; Paulo Germano de Frias; Silvia Wanick Sarinho Journal: Rev Paul Pediatr Date: 2020-09-25