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  1. Article ; Online: Diseases during pregnancy in a large unselected South American sample

    María Rita Santos / Hebe Campaña / Silvina Heisecke / Julia Ratowiecki / Darío Elías / Lucas Giménez / Fernando Adrián Poletta / Juan Gili / Rocío Uranga / Viviana Cosentino / Hugo Krupitzki / Mónica Rittler / Jorge López Camelo

    Revista Brasileira de Epidemiologia, Vol

    2022  Volume 25

    Abstract: ABSTRACT Objective: Our aim was to describe the prevalence of diseases during pregnancy and the association between fetal exposure to the most frequent maternal diseases and the risk of preterm (PTB) and/or small for gestational age (SGA) newborns in an ... ...

    Abstract ABSTRACT Objective: Our aim was to describe the prevalence of diseases during pregnancy and the association between fetal exposure to the most frequent maternal diseases and the risk of preterm (PTB) and/or small for gestational age (SGA) newborns in an unselected sample of women who gave birth in South American countries. Methods: We conducted a descriptive, cross-sectional study including 56,232 mothers of non-malformed infants born between 2002 and 2016, using data from the Latin American Collaborative Study of Congenital Malformations (ECLAMC). Diseases with higher- than-expected PTB/SGA frequencies were identified. Odds ratios of confounding variables for diseases and birth outcomes were calculated with a multivariable logistic regression. Results: Of the 14 most reported diseases, hypertension, genitourinary infection, epilepsy, hypothyroidism, diabetes, and HIV/AIDS showed higher PTB and/or SGA frequencies. Advanced and low maternal age, previous fetal loss, low socioeconomic level, and African-American ancestry were associated with PTB, while advanced maternal age, primigravidity, previous fetal loss, low socioeconomic level, and African-American ancestry were associated with SGA. After adjusting for the associated variables, the identified illnesses maintained their association with PTB and all, except epilepsy, with SGA. Conclusion: The description of an unselected population of mothers allowed identifying the most frequent diseases occurring during gestation and their impact on pregnancy outcomes. Six diseases were associated with PTB and two with SGA newborns. To the best of our knowledge, there are no similar reports about women not intentionally selected by specific diseases during pregnancy in South American populations.
    Keywords Pregnancy ; Disease ; Pregnancy complications ; infectious ; Chronic disease ; Infant ; small for gestational age ; premature ; Public aspects of medicine ; RA1-1270
    Subject code 610
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Associação Brasileira de Pós-Graduação em Saúde Coletiva
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Inequidades sociales en madres adolescentes y la relación con resultados perinatales adversos en poblaciones sudamericanas

    Julia Ratowiecki / María Rita Santos / Fernando Poletta / Silvina Heisecke / Dario Elias / Juan Gili / Lucas Gimenez / Mariela Pawluk / Rocio Uranga / Viviana Cosentino / Hebe Campaña / Mónica Rittler / Jorge S. López Camelo

    Cadernos de Saúde Pública, Vol 36, Iss

    2021  Volume 12

    Abstract: Resumen: El objetivo fue explicar las diferencias en la frecuencia de eventos perinatales adversos entre madres adolescentes con baja y alta escolaridad. La muestra poblacional se recogió en la base de datos del Estudio Colaborativo Latinoamericano de ... ...

    Abstract Resumen: El objetivo fue explicar las diferencias en la frecuencia de eventos perinatales adversos entre madres adolescentes con baja y alta escolaridad. La muestra poblacional se recogió en la base de datos del Estudio Colaborativo Latinoamericano de Malformaciones Congénitas (ECLAMC). Entre 2.443.747 nacimientos ocurridos en 93 hospitales, se reclutaron 66.755 recién nacidos vivos, sin defectos congénitos, durante el período 2000-2017. Las madres adolescentes se clasificaron según su escolaridad en: baja, media y alta. Se utilizó un modelo multivariado, que incluyó efectos reproductivos, acceso a servicios de salud, variables demográficas-socioeconómicas, así como de grupo étnico. El modelo de descomposición de Fairlie se aplicó para cuantificar la contribución de variables explicativas en las frecuencias de eventos perinatales adversos. De los 66.755 recién nacidos investigados, el 21,1% (n = 14.078) fue primigrávida de madres adolescentes. La distribución por escolaridad materna fue de 24,2%, 59,8% y 16% para baja, media y alta escolaridad, respectivamente. Las mayores frecuencias de eventos perinatales adversos se observaron en madres adolescentes con baja escolaridad. La variable “acceso a servicios de salud” explicó un 35%, 37% y 23% de las disparidades en el bajo peso al nacimiento, prematuridad y retardo de crecimiento intrauterino, respectivamente, entre madres adolescentes con baja y alta escolaridad. El bajo número de consultas prenatales fue el único factor de riesgo para los dos niveles de escolaridad y la variable que mejor explica las diferencias entre las frecuencias de eventos perinatales adversos. Desde el punto de vista de la salud pública, ellos representan una intervención de bajo coste, con posibilidad de que se incrementen mediante información adecuada para la población y medidas sistemáticas en los niveles de atención primaria.
    Keywords Nacimiento Prematuro ; Peso al Nacer ; Embarazo en Adolescencia ; Escolaridad ; Inequidad Social ; Medicine ; R ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A graph theory approach to analyze birth defect associations.

    Dario Elias / Hebe Campaña / Fernando Poletta / Silvina Heisecke / Juan Gili / Julia Ratowiecki / Lucas Gimenez / Mariela Pawluk / Maria Rita Santos / Viviana Cosentino / Rocio Uranga / Monica Rittler / Jorge Lopez Camelo

    PLoS ONE, Vol 15, Iss 5, p e

    2020  Volume 0233529

    Abstract: Birth defects are prenatal morphological or functional anomalies. Associations among them are studied to identify their etiopathogenesis. The graph theory methods allow analyzing relationships among a complete set of anomalies. A graph consists of nodes ... ...

    Abstract Birth defects are prenatal morphological or functional anomalies. Associations among them are studied to identify their etiopathogenesis. The graph theory methods allow analyzing relationships among a complete set of anomalies. A graph consists of nodes which represent the entities (birth defects in the present work), and edges that join nodes indicating the relationships among them. The aim of the present study was to validate the graph theory methods to study birth defect associations. All birth defects monitoring records from the Estudio Colaborativo Latino Americano de Malformaciones Congénitas gathered between 1967 and 2017 were used. From around 5 million live and stillborn infants, 170,430 had one or more birth defects. Volume-adjusted Chi-Square was used to determine the association strength between two birth defects and to weight the graph edges. The complete birth defect graph showed a Log-Normal degree distribution and its characteristics differed from random, scale-free and small-world graphs. The graph comprised 118 nodes and 550 edges. Birth defects with the highest centrality values were nonspecific codes such as Other upper limb anomalies. After partition, the graph yielded 12 groups; most of them were recognizable and included conditions such as VATER and OEIS associations, and Patau syndrome. Our findings validate the graph theory methods to study birth defect associations. This method may contribute to identify underlying etiopathogeneses as well as to improve coding systems.
    Keywords Medicine ; R ; Science ; Q
    Subject code 511
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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