Souza Suzana de, Carvalho Clarissa Gutierrez, Schuler-Faccini Lavinia
Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Saúde da Criança e do Adolescente, Porto Alegre, RS, Brazil.
Secretaria Estadual de Saúde do Rio Grande do Sul, Assessoria de Gestão e Planejamento, Porto Alegre, RS, Brazil.
Epidemiol Serv Saude. 2025 May 9;34:e20250240. doi: 10.1590/S2237-96222025v34e20250240.en. eCollection 2025.
To identify areas at risk for congenital anomalies in Brazil, from 2012 to 2021.
Time series analysis using data from the Live Birth Information System. Prevalence of anomalies in the period was calculated according to immediate geographic region. Spatial analysis was performed by calculating the Global and Local Moran index and spatial scanning, with calculation of Relative Risk (RR) and p-value, for the risk areas.
Areas at higher risk for anomalies were identified in the Northeast, Southeast, and Southern regions. The Northeast region had a higher number of clusters (n=31) and higher prevalence of nervous system anomalies compared to the other regions (9.7/10,000 live births). The highest risk of anomalies compared to the other areas was found in the state of Paraíba (RR 2.4; p-value<0.001).
Disparities in the distribution of congenital anomalies were identified in Brazil, with risk areas in the Northeast, Southeast, and Southern regions.
确定2012年至2021年巴西先天性异常的风险区域。
使用活产信息系统的数据进行时间序列分析。根据直接地理区域计算该时期异常的患病率。通过计算全局和局部莫兰指数以及空间扫描进行空间分析，计算风险区域的相对风险（RR）和p值。
在东北部、东南部和南部地区发现了异常风险较高的区域。与其他地区相比，东北地区的聚集数量更多（n = 31），神经系统异常的患病率更高（每10,000例活产中有9.7例）。与其他地区相比，帕拉伊巴州的异常风险最高（RR 2.4；p值<0.001）。
在巴西发现了先天性异常分布的差异，东北部、东南部和南部地区存在风险区域。
