Infant mortality due to congenital malformation in Argentina (1998–2009): temporal and spatial analysis of neonatal and postneonatal components

Bronberg, Rubén; Gili, Juan Antonio; Chaves, Estela; Dipierri, José Edgardo

doi:10.1007/s12687-013-0141-5

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Al analizar la distribución de estos dos indicadores en el periodo 2000-2006, Bronberg et al 2 demostraron una caída de la TMI-MC y un aumento en la PM-MC configurando un patrón que fue puesto por primera vez en evidencia por Rosano et al 3 en países desarrollados y fue verificado en Chile 4 y parcialmente en Brasil 5 . Posteriormente, Bronberg et al 6 analizaron en Argentina, a nivel regional, el comportamiento de los componentes neonatal y postneonatal de la TMI-MC y la PM-MC entre 1998-2009. Si bien a nivel nacional el comportamiento de ambos indicadores es semejante al observado por Bronberg et al 2 entre 2002-2006, se observaron grandes disparidades regionales.…”

Section: Introductionunclassified

Tendencia secular (1980-2018) de las muertes infantiles por malformaciones congenitas en Argentina

Bronberg

Chapur²,

Dipierri³

2021

Rev Fac Cien Med Univ Nac Cordoba

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Introducción: Las malformaciones congénitas (MC) representan la segunda causa de muertes infantiles en Argentina. Objetivo: Analizar la tendencia secular (1980-2018) de las muertes infantiles por MC a nivel regional y provincial. Materiales y Métodos: Los datos proceden de la DEIS (Ministerio de Salud) y comprenden el número absoluto de fallecidos y de nacidos vivos y las defunciones por MC codificadas según CIE-10 (Códigos Q00-Q99). Se calculó por regiones (Centro, NOA, NEA, Cuyo y Patagonia) y provincias la tasa de MI por MC (TMI-MC) (número de muertos por malformaciones congénitas / número de recién nacidos) y la proporción de muertes infantiles por malformaciones congénitas (PM-MC) (porcentaje de muertes por malformaciones congénitas / muertes por todas las causas). El período se dividió en 7 subgrupos de cinco años y uno de 4. La tendencia secular se analizó mediante un modelo de Poisson. Para representar de manera gráfica las diferencias en la TMI-MC y PM-MC a nivel regional se utilizó un gráfico de líneas y barras. Resultados: A nivel país se registró un patrón caracterizado por el descenso y ascenso significativos de la TMI-MC y PM-MC respectivamente. Este patrón se repite en las regiones Centro, Cuyo y Patagonia y en las provincias de Buenos Aires, Santa Fé, Entre Ríos, Neuquén, La Pampa, Mendoza y Santa Cruz. En las restantes regiones y provincias la TMI-MC exhibe un comportamiento heterogéneo. Conclusión: La heterogeneidad regional y provincial de la tendencia de TMI-MC y PM-MC refleja las inequidades espaciales socioeconómicas del país en las últimas décadas.

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Section: Introductionunclassified

Tendencia secular (1980-2018) de las muertes infantiles por malformaciones congenitas en Argentina

Bronberg

Chapur²,

Dipierri³

2021

Rev Fac Cien Med Univ Nac Cordoba

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“…Hence, an increasing number of studies have been combining GIS and epidemiological methods, as applied, for instance, to specific rare congenital diseases [12,13] or to CAs as a whole [14,15,16]. Aside from studies published on the mortality of some CAs or small groups of CAs, however, to date there have been no specific temporal or spatial analyses that have focused on the rare CA group as such, and only some items of related useful information can be extracted from other analyses [17].…”

Section: Introductionmentioning

confidence: 99%

“…The use of Geographic Information Systems (GIS) and spatial analysis data has become commonplace in health research because of the potential for monitoring and tracking disease trends, cluster detection, and/or evaluating environmental hazards [ 10 , 11 ]. Hence, an increasing number of studies have been combining GIS and epidemiological methods, as applied, for instance, to specific rare congenital diseases [ 12 , 13 ] or to CAs as a whole [ 14 , 15 , 16 ]. Aside from studies published on the mortality of some CAs or small groups of CAs, however, to date there have been no specific temporal or spatial analyses that have focused on the rare CA group as such, and only some items of related useful information can be extracted from other analyses [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

A Nationwide Registry-Based Study on Mortality Due to Rare Congenital Anomalies

Alonso-Ferreira

Sánchez-Díaz

Villaverde-Hueso

et al. 2018

IJERPH

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This study aimed to analyse population-based mortality attributed to rare congenital anomalies (CAs) and assess the associated time trends and geographical differences in Spain. Data on CA-related deaths were sourced from annual mortality databases kept by the National Statistics Institute of Spain (1999–2013). Based on the ICD-10, only CAs corresponding to rare diseases definition were included in this study. Annual age-adjusted mortality rates were calculated and time trends were evaluated by joinpoint regression analysis. Geographical differences were assessed using standardised mortality ratios and cluster detection. A total of 13,660 rare-CA-related deaths (53.4% males) were identified in the study period. Annual age-adjusted mortality rates decreased by an average of −5.2% (−5.5% males, −4.8% females, p < 0.001). Geographical analysis showed a higher risk of rare-CA-related mortality in regions largely located in the south of the country. Despite their limitations, mortality statistics are essential and useful tools for enhancing knowledge of rare disease epidemiology and, by extension, for designing and targeting public health actions. Monitoring rare-CA-related mortality in Spain has shown a 15-year decline and geographical differences in the risk of death, all of which might well be taken into account by the health authorities in order to ensure equality and equity, and to adopt appropriate preventive measures.

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Infant mortality due to congenital malformation in Argentina (1998–2009): temporal and spatial analysis of neonatal and postneonatal components

Cited by 2 publications

References 10 publications

Tendencia secular (1980-2018) de las muertes infantiles por malformaciones congenitas en Argentina

Tendencia secular (1980-2018) de las muertes infantiles por malformaciones congenitas en Argentina

A Nationwide Registry-Based Study on Mortality Due to Rare Congenital Anomalies

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