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巴西先天性梅毒:2009 年至 2016 年报告病例分布。

Congenital syphilis in Brazil: distribution of cases notified from 2009 to 2016.

机构信息

Centro Universitário do Maranhão, Programa de Pós-Graduação em Gestão de Programas e Serviços de Saúde, São Luís, MA, Brasil.

Universidade Federal do Maranhão, Centro de Pesquisas, Departamento de Saúde Pública, São Luís, MA, Brasil.

出版信息

Rev Soc Bras Med Trop. 2020 Nov 25;53:e20200338. doi: 10.1590/0037-8682-0338-2020. eCollection 2020.

Abstract

INTRODUCTION

Congenital syphilis is considered a severe public health problem because it accounts for approximately 40% of the perinatal mortality rates, 25% of stillbirths, and 14% of neonatal deaths, in addition to causing severe consequences for the fetus. This study aimed to describe the rates of congenital syphilis in children under one year of age in Brazilian capitals from 2009 to 2016.

METHODS

Ecological time series study, using rates of congenital syphilis in children under one year of age and living in Brazilian capitals. The Prais-Winsten regression model was used to assess the trend.

RESULTS

A total of 44,056 cases of congenital syphilis in children under one year of age were reported in Brazilian capitals between 2009 and 2016. The highest rate of congenital syphilis in children under one year of age occurred in 2016 in Porto Alegre (31.07/1,000 live births). The Northeastern capitals showed high rates, particularly the capital Recife (23.67/1,000 live births).

CONCLUSIONS

Congenital syphilis represents a major challenge for public policies. The need for improvements in the quality of prenatal care is highlighted, as it is essential to reduce the alarming rates.

摘要

简介

先天性梅毒被认为是一个严重的公共卫生问题,因为它导致了约 40%的围产期死亡率、25%的死产率和 14%的新生儿死亡率,此外还会对胎儿造成严重后果。本研究旨在描述 2009 年至 2016 年期间巴西首都地区一岁以下儿童先天性梅毒的发病率。

方法

这是一项使用巴西首都地区一岁以下儿童先天性梅毒发病率的生态时间序列研究。采用普赖斯-温斯坦回归模型评估趋势。

结果

2009 年至 2016 年期间,巴西首都地区共报告了 44056 例一岁以下儿童先天性梅毒病例。2016 年,一岁以下儿童先天性梅毒发病率最高的是阿雷格里港(31.07/1000 活产儿)。东北部的首府城市发病率较高,特别是累西腓(23.67/1000 活产儿)。

结论

先天性梅毒对公共政策构成重大挑战。需要提高产前保健质量,因为这对于降低惊人的发病率至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7924/7723364/4eca2dfe07f1/1678-9849-rsbmt-53-e20200338-gf1.jpg

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