HLA haplotypes and differential regional mortality caused by COVID-19 in Brazil: an ecological study based on a large bone marrow donor bank dataset.

The coronavirus disease 2019 (COVID-19) mortality rates varied among the states of Brazil during the course of the pandemics. The human leukocyte antigen (HLA) is a critical component of the antigen presentation pathway. Individuals with different HLA genotypes may trigger different immune responses against pathogens, which could culminate in different COVID-19 responses. HLA genotypes are variable, especially in the highly admixed Brazilian population. In this ecological study, we aimed to investigate the correlation between HLA haplotypes and the different regional distribution of COVID-19 mortality in Brazil. HLA data was obtained from 4,148,713 individuals registered in The Brazilian Voluntary Bone Marrow Donors Registry. COVID-19 data was retrieved from epidemiological bulletins issued by State Health Secretariats via Brazil's Ministry of Health from February/2020 to July/2022. We found a positive significant correlation between the HLA-A*01~B*08~DRB1*03 haplotype and COVID-19 mortality rates when we analyzed data from 26 states and the Federal District. This result indicates that the HLA-A*01~B*08~DRB1*03 haplotype may represent an additional risk factor for dying due to COVID-19. This haplotype should be further studied in other populations for a better understanding of the variation in COVID-19 outcomes across the world.

Prevalence of congenital anomalies at birth among live births in the state of Maranhão from 2001 to 2016: temporal and spatial analysis.

OBJECTIVES: To analyze the prevalence at birth and the spatial and temporal distribution of congenital anomalies (CAs) among live births in the state of Maranhão in 2001 to 2016. To describe demographic, gestational and neonatal variables of interest. METHODS: Ecological, population-based study, using secondary data from the Live Birth Information System (SINASC). Annual prevalence of total and per-group CAs was calculated. Spatial analyzes were based on the Local Indicators of Spatial Association (LISA) and the Moran I Index, and interactive maps were generated. Demographic, gestational and neonatal variables of interest available from SINASC were described in the group of newborns with CAs. RESULTS: 1,831,830 live births, 6,110 with CAs (33.4/10,000) were included. Higher frequencies occurred in more recent years. Spatial clusters have been observed in specific years. The prevalence of newborns with CAs was different between categories of variables considered as risk factors for this outcome. CONCLUSION: The prevalence at birth of total CAs was lower than expected for major human defects (3%). The temporal peak of records in 2015/2016 is probably related to the increase in CAs caused by gestational infection by the Zika virus. The spatial clusters were probably due to variations at random due to the small number of births as they are not repeated in other years. Studies like this are the basis for the establishment of CA surveillance programs.

Prevalence of congenital anomalies at birth among live births in the state of Maranhão from 2001 to 2016: temporal and spatial analysis / Prevalências ao nascimento de anomalias congênitas entre nascidos vivos no estado do Maranhão de 2001 a 2016: análise temporal e espacial

ABSTRACT: Objectives: To analyze the prevalence at birth and the spatial and temporal distribution of congenital anomalies (CAs) among live births in the state of Maranhão in 2001 to 2016. To describe demographic, gestational and neonatal variables of interest. Methods: Ecological, population-based study, using secondary data from the Live Birth Information System (SINASC). Annual prevalence of total and per-group CAs was calculated. Spatial analyzes were based on the Local Indicators of Spatial Association (LISA) and the Moran I Index, and interactive maps were generated. Demographic, gestational and neonatal variables of interest available from SINASC were described in the group of newborns with CAs. Results: 1,831,830 live births, 6,110 with CAs (33.4/10,000) were included. Higher frequencies occurred in more recent years. Spatial clusters have been observed in specific years. The prevalence of newborns with CAs was different between categories of variables considered as risk factors for this outcome. Conclusion: The prevalence at birth of total CAs was lower than expected for major human defects (3%). The temporal peak of records in 2015/2016 is probably related to the increase in CAs caused by gestational infection by the Zika virus. The spatial clusters were probably due to variations at random due to the small number of births as they are not repeated in other years. Studies like this are the basis for the establishment of CA surveillance programs.

RESUMO: Objetivos: Analisar as prevalências ao nascimento e a distribuição espacial e temporal das anomalias congênitas (ACs) entre nascidos vivos no estado do Maranhão nos anos de 2001 a 2016; descrever variáves de interesse demográficas, gestacionais e neonatais. Métodos: Estudo ecológico, de base populacional, a partir de dados secundários do Sistema de Informações sobre Nascidos Vivos (SINASC). Foram calculadas prevalências ao nascimento anuais de ACs totais e por grupos. Análises espaciais utilizaram o cálculo de Indicadores Locais de Associação Espacial (LISA) e o Índice Global de Moran I, e mapas interativos foram gerados. Variáveis de interesse demográficos, gestacionais e neonatais disponíveis no SINASC foram descritas no grupo dos recém-nascidos com ACs. Resultados: Neste estudo, foram incluídos 1.831.830 nascidos vivos, 6.110 com ACs (33,4/10 mil). Maiores frequências ocorreram nos anos mais recentes. Aglomerados espaciais foram observados em anos específicos. As prevalências de nascidos vivos com anomalias foram diferentes entre categorias de variáveis consideradas como fatores de risco para esse desfecho. Conclusão: A prevalência ao nascimento de nascidos com ACs foi inferior ao esperado para defeitos maiores na espécie humana (3%). O pico temporal de registros em 2015/2016 está provavelmente relacionado ao aumento de microcefalia causada pela infecção gestacional por vírus Zika. Os aglomerados espaciais provavelmente se deveram a variações ao acaso pelo número pequeno de nascimentos, pois não se repetem em outros anos. Estudos como este são base para o estabelecimento de programas de vigilância de defeitos congênitos.

Prevalence at birth of congenital anomalies among live births in the state of Maranhão from 2001 to 2016: temporal and spatial analysis / Prevalências ao nascimento de anomalias congênitas entre nascidos vivos no estado do Maranhão de 2001 a 2016: análise temporal e espacial

Objectives: To analyze the prevalence at birth and the spatial and temporal distribution of congenital anomalies (CAs) among live births in the state of Maranhão in the years 2001 to 2016. To describe demographic, gestational and neonatal variables of interest. Methods: Ecological, population-based study, using secondary data from the Information System on Live Births (SINASC). Annual prevalence of total and per group CAs was calculated. Spatial analyzes used the calculation of Local Indicators of Spatial Association and the Moran I Index and interactive maps were generated. Demographic, gestational and neonatal variables of interest available at SINASC were described in the group of newborns with CAs. Results: 1,831,830 live births, 6,110 with CAs (33.4/10,000) were included. Higher frequencies have occurred in more recent years. Spatial clusters have been observed in specific years. The prevalence of births of babies with CAs was different between categories of variables considered as risk factors for this outcome. Conclusion: The prevalence at birth of total CAs was lower than expected for the human species for major defects (3%). The temporal peak of records in 2015/2016 is probably related to the increase in CAs caused by gestational infection by Zika virus. The spatial clusters were probably due to variations at random due to the small number of births as they are not repeated in other years. Studies like this are the basis for the establishment of CA surveillance programs.

Objetivos: Analisar as prevalências ao nascimento e a distribuição espacial e temporal das anomalias congênitas entre nascidos vivos no estado do Maranhão nos anos de 2001 a 2016. Descrever variáves de interesse demográficas, gestacionais e neonatais. Métodos: Estudo ecológico, de base populacional, a partir de dados secundários do Sistema de Informações sobre Nascidos Vivos. Foram calculadas prevalências ao nascimento anuais de ACs totais e por grupos. Análises espaciais utilizaram o cálculo de Indicadores de Associação Espacial Locais e o Índice de Moran I e mapas interativos foram gerados. Variáveis de interesse demográficos, gestacionais e neonatais disponíveis no SINASC foram descritas no grupo dos recém-nascidos com ACs. Resultados: Foram incluídos 1.831.830 nascidos vivos, 6.110 com anomalias congênitas (33,4/10.000). Maiores frequências ocorreram nos anos mais recentes. Aglomerados espaciais foram observados em anos específicos. As prevalências de nascidos vivos com anomalias foi diferente entre categorias de variáveis consideradas como fatores de risco para este desfecho. Conclusão: A prevalência ao nascimento de nascidos com anomalias congênitas  foi  inferior ao esperado para defeitos maiores na espécie humana (3%).  O pico temporal de registros em 2015/2016 está provavelmente relacionado ao aumento de microcefalia causada pela infecção gestacional por vírus Zika. Os aglomerados espaciais provavelmente se deveram a variações ao acaso pelo número pequeno de nascimentos pois não se repetem em outros anos. Estudos como este são base para o estabelecimento de programas de vigilância de defeitos congênitos.

Twin Peaks: A spatial and temporal study of twinning rates in Brazil.

Twin births are an important public health issue due to health complications for both mother and children. While it is known that contemporary factors have drastically changed the epidemiology of twins in certain developed countries, in Brazil, relevant data are still scarce. Thus, we carried out a population-based study of live births in spatial and temporal dimensions using data from Brazil's Live Birth Information System, which covers the entire country. Over 41 million births registered between 2001 and 2014 were classified as singleton, twin or multiple. Twinning rates (TR) averaged 9.41 per 1,000 for the study period and a first-order autoregressive model of time-series analysis revealed a global upward trend over time; however, there were important regional differences. In fact, a Cluster and Outlier Analysis (Anselin Local Moran's I) was performed and identified clusters of high TR in an area stretching from the south of Brazil's Northeast Region to the South Region (Global Moran Index = 0.062, P < 0.001). Spearman's correlation coefficient and a Wilcoxon matched pairs test revealed a positive association between Human Development Index (HDI) and TRs in different scenarios, suggesting that the HDI might be an important indicator of childbearing age and assisted reproduction techniques in Brazil. Furthermore, there was a sharp increase of 26.42% in TR in women aged 45 and over during study period. The upward temporal trend in TRs is in line with recent observations from other countries, while the spatial analysis has revealed two very different realities within the same country. Our approach to TR using HDI as a proxy for underlying socioeconomic changes can be applied to other developing countries with regional inequalities resembling those found in Brazil.