Geographic distribution of live births and infant mortality from congenital anomalies in Brazil, 2012–2017

Reis, Luzivan Costa; Kaizer, Wesley Luciano; Boquett, Juliano André

doi:10.1007/s12687-021-00509-4

Cited by 2 publications

(3 citation statements)

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“…Dunn's post hoc tests were applied to analyze speci c pairs of samples (multiple comparisons) for stochastic dominance [incidences of live births with BDs, IMR due to BDs, and infant hospitalizations due to BDs] (Reis et al 2021b). The Z Test was used to compare the rates of BDs with those already described by Reis et al (2021b).…”

Section: Discussionmentioning

confidence: 99%

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Spatial analysis of birth defects in Brazil based on the human development index (HDI): an ecological study

Reis

Justino

Costa

et al. 2023

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Globally, between 2–4% of live births present Birth Defects (BDs) each year. The highest rates of mortality and morbidity caused by BDs are in low and middle-income countries. In Brazil, they are the second cause of infant mortality. Therefore, the aim of this study is to report the spatial distribution of the incidence of BDs at birth and infant mortality rate due to BDs (IMR-BDs) with the Human Development Index (HDI), and the cases of infant hospitalizations in Brazil. Data were extracted from an anonymous public database, and geospatial analysis was performed using the Global Moran Index statistic. We applied the Kruskal-Willis test and the Dunn test for multiple comparisons between regions and states. We found over 11.4 million births, out of which 99,653 had BDs (incidence: 87.05/10,000 live births); 30,357 infant deaths from BDs were recorded (26.52/10,000 live births). The analysis of the spatial correlation between BDs and the HDI-2010 values for each region/state revealed a statistically significant association in two scenarios: incidence of BDs and IMR-BDs vs. HDI-2010 (p = 0.005). There was an average of 22,710 infant hospitalizations due to BDs, and the average cost for infant hospitalizations was USD $ 30,372.24. The data call attention for the need to establish services and surveillance for prevention and to improve the goals of reducing IMR-BDs and costs with child hospitalizations due to BDs. Detection of BDs at a spatiotemporal level and their geographic distributions are used to support public administrators in managing affected children.

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Section: Discussionmentioning

confidence: 99%

“…The calculation of infant mortality is based on the number of deaths up to one year of age due to detected birth defects (numerator)/divided by the total live births (denominator) by 10,000 live births. The estimates are presented as an index by 10,000 live births, as recommended by EUROCAT (EUROCAT 2020; Reis et al 2021b).…”

Section: Methodsmentioning

confidence: 99%

Spatial analysis of birth defects in Brazil based on the human development index (HDI): an ecological study

Reis

Justino

Costa

et al. 2023

Preprint

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“…In addition, a further study observed that prematurity, regional inequalities, inadequate maternal care during pregnancy, infectious diseases (e.g., congenital syphilis, congenital rubella, and cytomegalovirus), labor complications, and alcohol use during pregnancy are factors that increase infant mortality rates [28][29][30][31] . In this perspective, high infant mortality rates reflect the poor health conditions of the population 28 Recently, Reis et al concluded that estimates of the incidence of infant mortality rate due to CAs and of rates of CA at birth using time and spatial series can help the specialized team to identify local causes, appropriate conditions for interventions, as well as the cost-benefits of the interventions 30 . In this sense, IMR due to CA and the rates for live births with CAs impact quality of life and increase the costs of specialized care for those affected and their families 31 .…”

Section: Discussionmentioning

confidence: 99%

Prevalence of fetal and neonatal mortality due to congenital anomalies in the state of Maranhão, Brazil, from 2001–2016

Reis¹,

Kaizer²,

Schüler‐Faccini³

2021

CBR

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Introduction:The infant mortality rate (IMR) is an important health indicator directly associated with living conditions, prenatal care coverage, social development conditions, and parental education, among others. Worldwide, the infant mortality rate was 29/1000 live births in 2017. Therefore, this study aimed to evaluate the fetal and infant mortality rates due to congenital anomalies (CA) in Maranhão from 2001 to 2016. Methods: Data were obtained from the SINASC, and SIM databases. We used simple linear regression, Poisson distribution, and ANOVA (Bonferroni's post hoc test). We analyzed the public data (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) of 1934858 births and determined the fetal, neonatal, perinatal, and post-neonatal mortality rates associated with CA by mesoregions. Results:The IMR in Maranhão was 17.01/1000 live births (95%CI, 13.30-20.72) and CA was the cause of death in 13.3% of these deaths. Mortality due to CA (per 1000 live births) was 0.76 (95%CI, 0.74-0.85) for fetal mortality rate and 2.27 (95%CI, 1.45-3.10) for infant mortality rate. Geographic and temporal variations were observed with a slight increase in recent years for deaths attributable to CA, and in the northern part of Maranhão. Conclusions:Mortality rates due to CA in Maranhão increased over the period 2001-2016 possibly as a result of improved maternal-infant health conditions eliminating other causes of death. Therefore, efforts to improve early diagnosis and better treatment of congenital anomalies should be considered to reduce its impact on child mortality.

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Geographic distribution of live births and infant mortality from congenital anomalies in Brazil, 2012–2017

Cited by 2 publications

References 42 publications

Spatial analysis of birth defects in Brazil based on the human development index (HDI): an ecological study

Spatial analysis of birth defects in Brazil based on the human development index (HDI): an ecological study

Prevalence of fetal and neonatal mortality due to congenital anomalies in the state of Maranhão, Brazil, from 2001–2016

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