Dataset Information

Prenatal detection of congenital anomalies and related factors in Argentina.

ABSTRACT: Congenital anomalies (CAs) are a leading cause of neonatal death. Many CAs can be diagnosed prenatally. To estimate the prenatal detection rate (PDR) of CA in hospitals participating in the RENAC (National Network of Congenital Anomalies of Argentina) and to analyze the PDR according to different factors. Sources were reports of RENAC from the 2013-2016 period. Congenital anomalies included were those detectable by ultrasound or by a prenatal karyotype. PDR was calculated by region, health subsector, clinical presentation, maternal age, sex, and twining. Using multiple logistic regression analysis, we evaluated predictors of prenatal detection. In total, 9976 cases were defined as prenatal detectable; 5021 were detected (PDR?=?50.3%). Multiple presentation increased the chances of prenatal detection (Adj. OR?=?1.6; 95%CI 1.4-1.9). Prenatal detection was lower in the public subsector (Adj. OR?=?0.8; 95%CI 0.7-0.9) and in the northern regions of the country. PDR was higher than 75% in isolated cases of urinary malformation, anencephaly, and gastroschisis. Prenatal detection increased the chance of birth in higher complexity-level hospitals (Adj. OR?=?2.5; 95%CI 2.3-2.8). PDR was within the range previously reported. Heterogeneity between regions and health subsector suggests the need for training to achieve equity in detection.

SUBMITTER: Bidondo MP

PROVIDER: S-EPMC7295886 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Prenatal detection of congenital anomalies and related factors in Argentina.

Bidondo Maria Paz MP Groisman Boris B Duarte Santiago S Tardivo Agostina A Liascovich Rosa R Barbero Pablo P

Journal of community genetics 20200103 3

Congenital anomalies (CAs) are a leading cause of neonatal death. Many CAs can be diagnosed prenatally. To estimate the prenatal detection rate (PDR) of CA in hospitals participating in the RENAC (National Network of Congenital Anomalies of Argentina) and to analyze the PDR according to different factors. Sources were reports of RENAC from the 2013-2016 period. Congenital anomalies included were those detectable by ultrasound or by a prenatal karyotype. PDR was calculated by region, health subse ...[more]

PMID: 31900752

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Project description:BackgroundNitrate is a common water contaminant that has been associated with birth defects, although the evidence is limited. The purpose of this study was to examine whether maternal consumption of nitrate through drinking water is associated with an increased risk of congenital anomalies.MethodsThe study included a total of 348,250 singletons births from the state of Missouri between January 1, 2004 and December 31, 2008. Individual-level birth defect data and maternal and child characteristics were obtained from the Missouri birth defects registry and state vital statistics records. Outcomes were linked with county-specific monthly estimates of the nitrate concentration in finished water, based on data collected for compliance with the Safe Drinking Water Standard. Poisson models were fit to examine the association between nitrate exposure and birth defects. Average nitrate exposure during the first trimester and over 12 months prior to birth were modeled as continuous variables. Sensitivity analyses included restriction of the sample to counties with <20% and <10% private well usage to reduce exposure misclassification as well as limiting the analyses to residents of rural counties only to account for potential confounding by urbanicity.ResultsEstimated water concentrations of nitrate were generally low and below the Environmental Protection Agency's maximum contaminant level of 10 mg/L. Nitrate exposure was associated with a significantly increased risk of limb deficiencies (RR for 1 mg/L (RR1) = 1.26, 95% CI = 1.05, 1.51) in models without well restriction. Nitrate was also weakly associated with an increased risk of congenital heart defects (RR1 = 1.13, 95%CI = 0.93, 1.51) and neural tube defects (RR1 = 1.18, 95%CI = 0.93, 1.51) in models with well restriction (<10%).ConclusionThe positive associations found between nitrate exposure via drinking water and congenital abnormalities are largely consistent with some previous epidemiologic studies. The results of this study should be interpreted with caution given limitations in our ability to estimate exposures and the lack information on some risk factors for congenital abnormalities. Our findings may have serious policy implications given that exposure levels in our study were well below current EPA standards for nitrate in drinking water.

Project description:BackgroundA recent meta-analysis suggested evidence for an effect of exposure to ambient air pollutants on risk of certain congenital heart defects. However, few studies have investigated the effects of traffic-related air pollutants with sufficient spatial accuracy.ObjectivesWe estimated associations between congenital anomalies and exposure to traffic-related air pollution in Barcelona, Spain.MethodCases with nonchromosomal anomalies (n = 2,247) and controls (n = 2,991) were selected from the Barcelona congenital anomaly register during 1994-2006. Land use regression models from the European Study of Cohorts for Air Pollution Effects (ESCAPE), were applied to residential addresses at birth to estimate spatial exposure to nitrogen oxides and dioxide (NOx, NO2), particulate matter with diameter ? 10 ?m (PM10), 10-2.5 ?m (PMcoarse), ? 2.5 ?m (PM2.5), and PM2.5 absorbance. Spatial estimates were adjusted for temporal trends using data from routine monitoring stations for weeks 3-8 of each pregnancy. Logistic regression models were used to calculate odds ratios (ORs) for 18 congenital anomaly groups associated with an interquartile-range (IQR) increase in exposure estimates.ResultsIn spatial and spatiotemporal exposure models, we estimated statistically significant associations between an IQR increase in NO2 (12.2 ?g/m3) and coarctation of the aorta (ORspatiotemporal = 1.15; 95% CI: 1.01, 1.31) and digestive system defects (ORspatiotemporal = 1.11; 95% CI: 1.00, 1.23), and between an IQR increase in PMcoarse (3.6 ?g/m3) and abdominal wall defects (ORspatiotemporal = 1.93; 95% CI: 1.37, 2.73). Other statistically significant increased and decreased ORs were estimated based on the spatial model only or the spatiotemporal model only, but not both.ConclusionsOur results overall do not indicate an association between traffic-related air pollution and most groups of congenital anomalies. Findings for coarctation of the aorta are consistent with those of the previous meta-analysis.CitationSchembari A, Nieuwenhuijsen MJ, Salvador J, de Nazelle A, Cirach M, Dadvand P, Beelen R, Hoek G, Basagaña X, Vrijheid M. 2014. Traffic-related air pollution and congenital anomalies in Barcelona. Environ Health Perspect 122:317-323;?http://dx.doi.org/10.1289/ehp.1306802.

Project description:BackgroundAs part of World Health Organization (WHO) 2016 updated antenatal care (ANC) guidelines routine ultrasonography is recommended, including to detect congenital anomalies. The Ghana Health Service (GHS) developed an in-service midwifery ultrasound training course in 2017, which includes fetal anomaly detection. Training rollout has been very limited. We sought to determine proportions of anomalies among neonates presenting to Tamale Teaching Hospital (TTH) that should be prenatally detectable by course-trained midwives in order to determine training program potential utility.MethodsWe analyzed data from a registry of neonates admitted to TTH with congenital anomaly diagnoses in 2016. We classified ultrasonographic detectability of anomalies at ≤13 and 14-23 weeks gestation, based on GHS course content and literature review. Secondary analysis included 2011-2015 retrospective chart review data.ResultsEighty-five neonates with congenital anomalies were admitted to TTH in 2016. Seventy-three (86%) mothers received ≥1 ANC visit; 47 (55%) had at least one prenatal ultrasound, but only three (6%) were interpreted as abnormal. Sixteen (19%) and 26 (31%) of the anomalies should be readily detectable by course-trained midwives at ≤13 and 14-23 weeks gestation, respectively. When the 161 anomalies from 2011-2015 were also analyzed, 52 (21%) and 105 (43%) should be readily detectable at ≤13 and 14-23 weeks gestation, respectively. "Optimal conditions" (state-of-the-art equipment by ultrasonography-trained physicians) should readily identify 53 (22%) and 115 (47%) of the anomalies at ≤13 and 14-23 weeks gestation, respectively.ConclusionTraining Ghanaian midwives could substantially increase second trimester anomaly detection, potentially at proportions nearing highly resourced settings. Our data also highlight the need for refinement of the WHO antenatal ultrasonography recommendation for a scan before 24 weeks gestation for multiple purposes. Gestational dating accuracy requires first trimester scanning while fetal anomaly detection is more accurate during second trimester. Further specification will enhance guideline utility.

Project description:Background and objectiveImpact of appearance of congenital hand anomalies has not previously been reported. The purpose of this study was to describe the common perception about how different congenitally malformed hands look.MethodsWe developed a questionnaire in a game format to evaluate the appearance of different hands. Altogether 1450 (954 females) 4- to 84-year-old residents (296 children) of two European and one Asian (n = 102) country were asked to rate the appearance of different looking hands on a five-point pictorial Likert-type scale. Standardized photographs of the dorsal aspect of 17 different congenitally malformed non-operated hands and a normal hand were presented to respondents. Significance of age, gender, nationality, and profession of the respondents was assessed.ResultsThe respondents' ranking order of the hands was nearly consistent. The normal hand (mean = 4.43, standard deviation = 0.85, Md = 5) and clinodactyly (mean = 4.37, standard deviation = 0.86, Md = 5) were perceived to have the best appearance. Symbrachydactyly (mean = 1.42, standard deviation = 0.68, Md = 1) and radial club hand (mean = 1.40, standard deviation = 0.68, Md = 1) received the lowest scores. Adults rated the appearance of hands higher than children regarding 14 hands, females higher than men regarding 15 hands, and Europeans higher than Asians in 4 hands (p < 0.05, respectively). Europeans rated four-finger hand (mean = 3.21, standard deviation = 1.18, Md = 3) better looking than six-finger hand (mean = 2.92, standard deviation = 1.18, Md = 3, p < 0.005), whereas Asians gave higher scores to six-finger hand (mean = 2.66, standard deviation = 1.26, Md = 3) compared to four-finger hand (mean = 2.51, standard deviation = 1.14, Md = 2). Medical doctors and nurses gave higher scores compared to the other profession groups, school children, and high school students in five hands (p < 0.05).ConclusionsA normal hand is perceived distinctly better looking than most congenitally different hands. Different malformations' appearance was ranked very coherently in the same order despite of participants' age, gender, nationality, or profession. Asians seem to prefer an additional digit to a four-finger hand.

Dataset Information

Prenatal detection of congenital anomalies and related factors in Argentina.

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Prenatal detection of congenital anomalies and related factors in Argentina.

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