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阿根廷先天性异常的出生患病率,按社会经济水平划分。

Birth prevalence of congenital anomalies in Argentina, according to socioeconomic level.

作者信息

Bronberg Ruben, Groisman Boris, Bidondo Maria Paz, Barbero Pablo, Liascovich Rosa

机构信息

Ramos Mejía Hospital, Buenos Aires, Argentina.

National Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Administration of Health Laboratories and Institutes, National Ministry of Health, Buenos Aires, Argentina.

出版信息

J Community Genet. 2021 Jul;12(3):345-355. doi: 10.1007/s12687-021-00516-5. Epub 2021 Mar 31.

Abstract

Birth prevalence of congenital anomalies (CA) in Argentina is estimated around 1.7%. CA are the second leading cause of infant mortality. Poverty and other adverse socioeconomic conditions have been associated with birth defects. To describe the prevalence at birth of CA, according to the two proxy variables of socioeconomic level: the health subsector of the hospital where the cases were born (PUB-public versus PRI-private or social security) and its geographical location. The design of the study was ecological using the data of the National Network of Congenital Anomalies of Argentina (RENAC); from October 2010 to December 2018. CA birth prevalence was estimated using the Poisson regression. We used a logistic regression model to analyze the association birth prevalence to health subsector and geographical region. A total of 2,202,994 births were examined in the study period, with a global CA prevalence of 1.69% (95% CI 1.68-1.71). The highest prevalence was observed in PUB hospitals when comparing to PRI hospitals at the country level and in all regions. There were differences in the prevalence of selected congenital anomalies with a statistically significant association to PUB (observed in anencephaly, encephalocele, hydrocephalus, microcephaly, holoprosencephaly, microtia/anotia, cleft lip and palate, postaxial polydactyly, talipes equinovarus, talipes calcaneovalgus, and gastroschisis). The prevalence of critical heart defects and chromosomal anomalies was significantly higher in PRI hospitals. Although this is an ecological study with no information on socioeconomic status at individual level, we found an association between CA frequency and selected CA with the PUB subsector. Vulnerable populations affected with CA require a greater effort from policy makers and health care providers to allocate more resources and design strategies to access to health.

摘要

据估计,阿根廷先天性异常(CA)的出生患病率约为1.7%。先天性异常是婴儿死亡的第二大主要原因。贫困和其他不良社会经济状况与出生缺陷有关。根据社会经济水平的两个替代变量,即病例出生医院的卫生子部门(公立 - PUB与私立或社会保障 - PRI)及其地理位置,来描述先天性异常的出生患病率。本研究采用生态学设计,使用阿根廷先天性异常国家网络(RENAC)2010年10月至2018年12月的数据。采用泊松回归估计先天性异常的出生患病率。我们使用逻辑回归模型分析出生患病率与卫生子部门和地理区域之间的关联。在研究期间共检查了2202994例出生病例,总体先天性异常患病率为1.69%(95%可信区间1.68 - 1.71)。在国家层面和所有地区,与私立医院相比,公立医院的患病率最高。在某些先天性异常的患病率方面存在差异,与公立医院有统计学显著关联(无脑儿、脑膨出、脑积水、小头畸形、前脑无裂畸形、小耳/无耳、唇腭裂、轴后多指畸形、马蹄内翻足、跟骨外翻足和腹裂)。私立医院中严重心脏缺陷和染色体异常的患病率显著更高。尽管这是一项生态学研究,没有个体层面的社会经济状况信息,但我们发现先天性异常的频率以及某些先天性异常与公立卫生子部门之间存在关联。受先天性异常影响的弱势群体需要政策制定者和医疗服务提供者做出更大努力,以分配更多资源并设计获取医疗服务的策略。

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