Maternal and neonatal characteristics and early neonatal mortality in Greater Metropolitan São Paulo, Brazil

O objetivo foi descrever as características do recém-nascido, da mãe e da mortalidade neonatal precoce, segundo local de parto, na Região Metropolitana de São Paulo, Brasil. Utilizou-se coorte de nascidos vivos vinculados aos respectivos óbitos neonatais precoces, por técnica determinística. Identificou-se o parto domiciliar a partir da Declaração de Nascido Vivo e os ocorridos em estabelecimentos a partir da vinculação com o Cadastro Nacional de Estabelecimentos de Saúde. Foram estudados 154.676 nascidos vivos, dos quais 0,3% dos nascimentos ocorreram acidentalmente em domicílio, 98,7% em hospitais e menos de 1% em outro serviço de saúde. A mortalidade foi menor no Centro de Parto Normal e nas Unidades Mistas de Saúde, condizente com o perfil de baixo risco obstétrico. As taxas mais elevadas ocorreram nos prontos-socorros (54,4 óbitos por mil nascidos vivos) e domicílios (26,7), representando um risco de morte, respectivamente, 9,6 e 4,7 vezes maior que nos hospitais (5,6). Apesar da alta predominância do parto hospitalar, há um segmento de partos acidentais tanto em domicílios como em prontos-socorros que merece atenção, por registrar elevadas taxas de mortalidade neonatal precoce.The objective was to describe maternal and neonatal characteristics and early neonatal mortality rate according to place of delivery in Greater Metropolitan São Paulo, Brazil. The study linked the databases on live births and early neonatal deaths with the national hospital registry. Place of delivery was identified through certificates of live birth. There were a total of 154,676 live births: 98.7% in-hospital; 0.3% home deliveries, and 1% in other health services. Deliveries in birthing centers and small hospital units were associated with low obstetric risk and a low proportion of preterm and low birth weight infants, and as a result these services showed the lowest early neonatal mortality rate. Compared to hospital maternity ward deliveries, the early neonatal mortality rate was 4.7 times higher for home deliveries and 9.6 higher for emergency room deliveries. There is a high rate of hospital delivery care in São Paulo, but there is still a small portion of accidental home births and deliveries occurring in inappropriate health services, probably as a result of obstetric emergencies and difficulties in accessing hospital services.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Early neonatal mortality according to level of hospital complexity in Greater Metropolitan São Paulo, Brazil

O objetivo foi analisar o perfil dos recém-nascidos, mães e mortalidade neonatal precoce, segundo complexidade do hospital e vínculo com o Sistema Único de Saúde (SUS), na Região Metropolitana de São Paulo, Brasil. Estudo baseado em dados de nascidos vivos, óbitos e cadastro de hospitais. Para obter a tipologia de complexidade e o perfil da clientela, empregaram-se análise fatorial e de clusters. O SUS atende mais recém-nascidos de risco e mães com baixa escolaridade, pré-natal insuficiente e adolescentes. A probabilidade de morte neonatal precoce foi 5,6‰ nascidos vivos (65% maior no SUS), sem diferenças por nível de complexidade do hospital, exceto nos de altíssima (SUS) e média (não-SUS) complexidade. O diferencial de mortalidade neonatal precoce entre as duas redes é menor no grupo de recém-nascidos < 1.500g (22%), entretanto, a taxa é 131% mais elevada no SUS para os recém-nascidos > 2.500g. Há uma concentração de nascimentos de alto risco na rede SUS, contudo a diferença de mortalidade neonatal precoce entre a rede SUS e não-SUS é menor nesse grupo de recém-nascidos. Novos estudos são necessários para compreender melhor a elevada mortalidade de recém-nascidos > 2.500g no SUS.The aim of this study was to analyze the profile of newborns, mothers, and early neonatal mortality according to the hospital's complexity and affiliation (or lack thereof) with the Unified National Health System (SUS) in Greater Metropolitan São Paulo, Brazil. The study was based on data for live births, deaths, and hospital registries. Factor and cluster analysis were used to obtain the typology of hospital complexity and user profile. The SUS treats more high-risk newborns and mothers with low schooling, insufficient prenatal care, and teenage mothers. The probability of early neonatal death was 5.6‰ live births (65% higher in the SUS), with no significant differences by level of hospital complexity, except those with extremely high (SUS) and medium (non-SUS) complexity. The difference in early neonatal mortality between the two systems was smaller in the group of newborns with birth weight < 1,500g (22%), but the rate was 131% higher in the SUS for newborns > 2,500g. There was a concentration of high-risk births in the SUS, but the difference in early neonatal mortality between SUS and non-SUS hospitals was smaller in this group of newborns. New studies are needed to elucidate the high mortality rate among newborns with birth weight > 2,500g in the SUS.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

A Mortalidade Neonatal no Estado de São Paulo

Na coorte de nascidos vivos ocorridos no Estado de São Paulo em 2011, são estudados os determinantes sociais e biológicos da mortalidade neonatal, estimando as probabilidades, segundo características das crianças, das mães e das condições do parto. Os fatores de risco são divididos em determinantes proximais, intermediários e distais, de acordo com a posição que ocupam na denominada cadeia de causalidade. A mortalidade neonatal foi associada diretamente com a assistência prestada à mãe e ao filho, incluindo a atenção pré-natal, ao parto e aos cuidados com o recém-nascido. Os fatores biológicos também estão presentes neste componente destacando-se as anomalias congênitas e o baixo peso ao nascer

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data