Abstract Objectives: to estimate neonatal near miss rates and investigate sociodemographic, obstetric, childbirth, and neonate factors residing in a Midwest capital city. Methods: observational cohort study of live births from Cuiabá in the period of 2015 to 2018, with data from the Sistemas de Informações sobre Mortalidade e sobre Nascidos Vivos (Mortality and Live Birth Information Systems). The neonatal near miss rate was calculated according to sociodemographic, obstetric, childbirth, and neonate variables. Logistic regression model was adjusted to analyze the factors associated with neonatal near miss. Results: the neonatal near miss rate was 22.8 per thousand live births and the variables showed an association with the outcome were: maternal age 35 years or older (OR=1.53; CI95%=1.17-2.00), having fewer than six prenatal consultations (OR=2.43; CI95%=2.08-2.86), non-cephalic fetal presentation (OR=3.09; CI95%=2.44-3.92), multiple pregnancy (OR=3.30; CI95%=2.57- 4.23), no live birth (OR=1.62; CI95%=1.34-1.96) or one live birth (OR=1.22; CI95%=1.00-1.48), delivery in public/university hospital (OR=2.16; CI95%=1.73-2.71) and philanthropic hospital (OR=1.51; CI95%=1.19-1.91) and non-induced labor (OR=1.50; CI95%=1.25-1.80). Conclusion: the neonatal near miss rate was 3.04 cases for each death, and neonatal near miss was influenced by maternal characteristics, obstetric history, type of birth hospital, and delivery care organization. Objectives sociodemographic childbirth city Methods 201 2018 Mortality Systems. Systems . Systems) Results 228 22 8 22. were 3 OR=1.53 OR153 OR 1 53 (OR=1.53 CI95%=1.172.00, CI95117200 CI CI95%=1.17 2.00 , CI95 17 2 00 CI95%=1.17-2.00) OR=2.43 OR243 43 (OR=2.43 CI95%=2.082.86, CI95208286 CI95%=2.08 2.86 08 86 CI95%=2.08-2.86) noncephalic non cephalic OR=3.09 OR309 09 (OR=3.09 CI95%=2.443.92, CI95244392 CI95%=2.44 3.92 44 92 CI95%=2.44-3.92) OR=3.30 OR330 30 (OR=3.30 CI95%=2.57 CI95257 57 4.23, 423 4.23 4 23 4.23) OR=1.62 OR162 62 (OR=1.62 CI95%=1.341.96 CI95134196 CI95%=1.34 1.96 34 96 CI95%=1.34-1.96 OR=1.22 OR122 (OR=1.22 CI95%=1.001.48, CI95100148 CI95%=1.00 1.48 48 CI95%=1.00-1.48) publicuniversity public university OR=2.16 OR216 16 (OR=2.16 CI95%=1.732.71 CI95173271 CI95%=1.73 2.71 73 71 CI95%=1.73-2.71 OR=1.51 OR151 51 (OR=1.51 CI95%=1.191.91 CI95119191 CI95%=1.19 1.91 19 91 CI95%=1.19-1.91 noninduced induced OR=1.50 OR150 50 (OR=1.50 CI95%=1.251.80. CI95125180 CI95%=1.25 1.80 25 80 CI95%=1.25-1.80) Conclusion 304 04 3.0 death characteristics history organization 20 OR=1.5 OR15 5 (OR=1.5 172 CI95%=1.172.00 CI9511720 CI95117 CI95%=1.1 200 2.0 CI9 0 CI95%=1.17-2.00 OR=2.4 OR24 (OR=2.4 082 CI95%=2.082.86 CI9520828 CI95208 CI95%=2.0 286 2.8 CI95%=2.08-2.86 OR=3.0 OR30 (OR=3.0 443 CI95%=2.443.92 CI9524439 CI95244 CI95%=2.4 392 3.9 9 CI95%=2.44-3.92 OR=3.3 OR33 (OR=3.3 CI95%=2.5 CI9525 42 4.2 OR=1.6 OR16 6 (OR=1.6 341 CI95%=1.341.9 CI9513419 CI95134 CI95%=1.3 196 1.9 CI95%=1.34-1.9 OR=1.2 OR12 (OR=1.2 001 CI95%=1.001.48 CI9510014 CI95100 CI95%=1.0 148 1.4 CI95%=1.00-1.48 OR=2.1 OR21 (OR=2.1 732 CI95%=1.732.7 CI9517327 CI95173 CI95%=1.7 271 2.7 7 CI95%=1.73-2.7 191 CI95%=1.191.9 CI9511919 CI95119 CI95%=1.19-1.9 251 CI95%=1.251.80 CI9512518 CI95125 CI95%=1.2 180 1.8 CI95%=1.25-1.80 3. OR=1. OR1 (OR=1. CI95%=1.172.0 CI951172 CI9511 CI95%=1. 2. CI95%=1.17-2.0 OR=2. OR2 (OR=2. CI95%=2.082.8 CI952082 CI9520 CI95%=2. 28 CI95%=2.08-2.8 OR=3. OR3 (OR=3. CI95%=2.443.9 CI952443 CI9524 39 CI95%=2.44-3.9 CI952 4. CI95%=1.341. CI951341 CI9513 1. CI95%=1.34-1. CI95%=1.001.4 CI951001 CI9510 14 CI95%=1.00-1.4 CI95%=1.732. CI951732 CI9517 27 CI95%=1.73-2. CI95%=1.191. CI951191 CI95%=1.19-1. CI95%=1.251.8 CI951251 CI9512 18 CI95%=1.25-1.8 OR=1 (OR=1 CI95%=1.172. CI951 CI95%=1 CI95%=1.17-2. OR=2 (OR=2 CI95%=2.082. CI95%=2 CI95%=2.08-2. OR=3 (OR=3 CI95%=2.443. CI95%=2.44-3. CI95%=1.341 CI95%=1.34-1 CI95%=1.001. CI95%=1.00-1. CI95%=1.732 CI95%=1.73-2 CI95%=1.191 CI95%=1.19-1 CI95%=1.251. CI95%=1.25-1. OR= (OR= CI95%=1.172 CI95%= CI95%=1.17-2 CI95%=2.082 CI95%=2.08-2 CI95%=2.443 CI95%=2.44-3 CI95%=1.34- CI95%=1.001 CI95%=1.00-1 CI95%=1.73- CI95%=1.19- CI95%=1.251 CI95%=1.25-1 (OR CI95% CI95%=1.17- CI95%=2.08- CI95%=2.44- CI95%=1.00- CI95%=1.25-
Resumo Objetivos: estimar as taxas de near miss neonatal e investigar os fatores sociodemográficos, obstétricos, do parto e dos neonatos residentes em uma capital do Centro-Oeste. Métodos: estudo observacional de coorte de nascidos vivos de Cuiabá no período de 2015 a 2018, com dados dos Sistemas de Informações sobre Mortalidade e sobre Nascidos Vivos. Foi calculada a taxa de near miss neonatal conforme as variáveis sociodemográficas, obstétricas, do parto e dos neonatos. Modelo de regressão logística foi ajustado para analisar os fatores associados ao near miss neonatal. Resultados: a taxa de near miss neonatal foi 22,8 por mil nascidos vivos e as variáveis que apresentaram associação com o desfecho foram: idade materna de 35 anos ou mais (OR=1,53; IC95%=1,17-2,00), realizar menos de seis consultas de pré-natal (OR=2,43; IC95%=2,08-2,86), apresentação fetal não cefálica (OR=3,09; IC95%=2,44-3,92), gravidez múltipla (OR=3,30; IC95%=2,57-4,23), nenhum filho nascido vivo (OR=1,62; IC=1,34-1,96) ouum filho nascido vivo (OR=1,22; IC95%=1,00-1,48), parto em hospital público/universitário (OR=2,16; IC95%=1,73-2,71) e filantrópico (OR=1,51; IC95%=1,19-1,91)e trabalho de parto não induzido (OR=1,50; IC95%=1,25-1,80). Conclusão: a taxa de near miss neonatal foi de 3,04 casos para cada óbito, sendo que o near miss neonatal foi influenciado pelas características maternas, histórico obstétrico, tipo do hospital do nascimento e organização da assistência ao parto. Objetivos sociodemográficos obstétricos CentroOeste. CentroOeste Centro Oeste. Oeste Centro-Oeste Métodos 201 2018 Vivos sociodemográficas obstétricas Resultados 228 22 8 22, foram 3 OR=1,53 OR153 OR 1 53 (OR=1,53 IC95%=1,172,00, IC95117200 IC IC95%=1,17 2,00 , IC95 17 2 00 IC95%=1,17-2,00) prénatal pré natal OR=2,43 OR243 43 (OR=2,43 IC95%=2,082,86, IC95208286 IC95%=2,08 2,86 08 86 IC95%=2,08-2,86) OR=3,09 OR309 09 (OR=3,09 IC95%=2,443,92, IC95244392 IC95%=2,44 3,92 44 92 IC95%=2,44-3,92) OR=3,30 OR330 30 (OR=3,30 IC95%=2,574,23, IC95257423 IC95%=2,57 4,23 57 4 23 IC95%=2,57-4,23) OR=1,62 OR162 62 (OR=1,62 IC=1,341,96 IC134196 IC=1,34 1,96 34 96 IC=1,34-1,96 OR=1,22 OR122 (OR=1,22 IC95%=1,001,48, IC95100148 IC95%=1,00 1,48 48 IC95%=1,00-1,48) públicouniversitário público universitário OR=2,16 OR216 16 (OR=2,16 IC95%=1,732,71 IC95173271 IC95%=1,73 2,71 73 71 IC95%=1,73-2,71 OR=1,51 OR151 51 (OR=1,51 IC95%=1,191,91e IC95119191e ICe IC95%=1,19 1,91 19 91 OR=1,50 OR150 50 (OR=1,50 IC95%=1,251,80. IC95125180 IC95%=1,25 1,80 . 25 80 IC95%=1,25-1,80) Conclusão 304 04 3,0 óbito maternas obstétrico 20 OR=1,5 OR15 5 (OR=1,5 172 IC95%=1,172,00 IC9511720 IC95117 IC95%=1,1 200 2,0 IC9 0 IC95%=1,17-2,00 OR=2,4 OR24 (OR=2,4 082 IC95%=2,082,86 IC9520828 IC95208 IC95%=2,0 286 2,8 IC95%=2,08-2,86 OR=3,0 OR30 (OR=3,0 443 IC95%=2,443,92 IC9524439 IC95244 IC95%=2,4 392 3,9 9 IC95%=2,44-3,92 OR=3,3 OR33 (OR=3,3 574 IC95%=2,574,23 IC9525742 IC95257 IC95%=2,5 423 4,2 IC95%=2,57-4,23 OR=1,6 OR16 6 (OR=1,6 341 IC=1,341,9 IC13419 IC134 IC=1,3 196 1,9 IC=1,34-1,9 OR=1,2 OR12 (OR=1,2 001 IC95%=1,001,48 IC9510014 IC95100 IC95%=1,0 148 1,4 IC95%=1,00-1,48 OR=2,1 OR21 (OR=2,1 732 IC95%=1,732,7 IC9517327 IC95173 IC95%=1,7 271 2,7 7 IC95%=1,73-2,7 191 91e IC95119 251 IC95%=1,251,80 IC9512518 IC95125 IC95%=1,2 180 1,8 IC95%=1,25-1,80 3, OR=1, OR1 (OR=1, IC95%=1,172,0 IC951172 IC9511 IC95%=1, 2, IC95%=1,17-2,0 OR=2, OR2 (OR=2, IC95%=2,082,8 IC952082 IC9520 IC95%=2, 28 IC95%=2,08-2,8 OR=3, OR3 (OR=3, IC95%=2,443,9 IC952443 IC9524 39 IC95%=2,44-3,9 IC95%=2,574,2 IC952574 IC9525 42 4, IC95%=2,57-4,2 IC=1,341, IC1341 IC13 IC=1, 1, IC=1,34-1, IC95%=1,001,4 IC951001 IC9510 14 IC95%=1,00-1,4 IC95%=1,732, IC951732 IC9517 27 IC95%=1,73-2, IC95%=1,251,8 IC951251 IC9512 18 IC95%=1,25-1,8 OR=1 (OR=1 IC95%=1,172, IC951 IC95%=1 IC95%=1,17-2, OR=2 (OR=2 IC95%=2,082, IC952 IC95%=2 IC95%=2,08-2, OR=3 (OR=3 IC95%=2,443, IC95%=2,44-3, IC95%=2,574, IC95%=2,57-4, IC=1,341 IC1 IC=1 IC=1,34-1 IC95%=1,001, IC95%=1,00-1, IC95%=1,732 IC95%=1,73-2 IC95%=1,251, IC95%=1,25-1, OR= (OR= IC95%=1,172 IC95%= IC95%=1,17-2 IC95%=2,082 IC95%=2,08-2 IC95%=2,443 IC95%=2,44-3 IC95%=2,574 IC95%=2,57-4 IC= IC=1,34- IC95%=1,001 IC95%=1,00-1 IC95%=1,73- IC95%=1,251 IC95%=1,25-1 (OR IC95% IC95%=1,17- IC95%=2,08- IC95%=2,44- IC95%=2,57- IC95%=1,00- IC95%=1,25-