Descriptive and risk factor analysis of nonsyndromic sacral agenesis: National Birth Defects Prevention Study, 1997-2011.
Marine NalbandyanMeredith M HowleyChristopher M CunniffPaul A RomittiMarilyn L Brownenull nullPublished in: American journal of medical genetics. Part A (2019)
Sacral agenesis is a rare birth defect characterized by partial or complete absence of the sacrum. We sought to (a) describe case characteristics, (b) estimate birth prevalence, and (c) identify risk factors for nonsyndromic sacral agenesis using data from the National Birth Defects Prevention Study (NBDPS). The NBDPS was a population-based, case-control study involving pregnancies with estimated dates of delivery from October 1997 through December 2011. We estimated birth prevalence using all NBDPS eligible cases. Using self-reported maternal exposure information, we conducted multivariable logistic regression analysis to identify potential risk factors overall and among women without diabetes. The birth prevalence of sacral agenesis was 2.6/100,000 live births. In the multivariable analysis, multifetal pregnancy, pre-existing Type 1 diabetes, and pre-existing Type 2 diabetes were positively and significantly associated with sacral agenesis, albeit estimates were imprecise. Preexisting Type 1 diabetes was the strongest risk factor (adjusted odds ratio = 96.6, 95% confidence interval = 43.5-214.7). Among women without diabetes, periconceptional smoking was positively and significantly associated with sacral agenesis. Our findings underscore the importance of smoking cessation programs among women planning pregnancy and the importance of better understanding the role of glycemic control before and during pregnancy when designing interventions for primary prevention of sacral agenesis.
Keyphrases
- pregnancy outcomes
- type diabetes
- glycemic control
- risk factors
- gestational age
- smoking cessation
- preterm birth
- pregnant women
- birth weight
- blood glucose
- urinary tract
- cardiovascular disease
- polycystic ovary syndrome
- insulin resistance
- weight loss
- physical activity
- quality improvement
- adipose tissue
- public health
- healthcare
- machine learning
- big data
- social media
- cervical cancer screening