Journal article
Pre-pregnancy or first-trimester risk scoring to identify women at high risk of preterm birth
European journal of obstetrics & gynecology and reproductive biology, Vol.231, pp.235-240
12/2018
DOI: 10.1016/j.ejogrb.2018.11.004
PMCID: PMC6697157
PMID: 30439652
Abstract
Objective To develop a pre-pregnancy or first-trimester risk score to identify women at high risk of preterm birth.
Study design In this retrospective cohort analysis, the sample was drawn from California singleton livebirths from 2007 to 2012 with linked birth certificate and hospital discharge records. The dataset was divided into a training (2/3 of sample) and a testing (1/3 of sample) set for discovery and validation. Predictive models for preterm birth using pre-pregnancy or first-trimester maternal factors were developed using backward stepwise logistic regression on a training dataset. A risk score for preterm birth was created for each pregnancy using beta-coefficients for each maternal factor remaining in the final multivariable model. Risk score utility was replicated in a testing dataset and by race/ethnicity and payer for prenatal care.
Results The sample included 2,339,696 pregnancies divided into training and testing datasets. Twenty-three maternal risk factors were identified including several that were associated with a two or more increased odds of preterm birth (preexisting diabetes, preexisting hypertension, sickle cell anemia, and previous preterm birth). Approximately 40% of women with a risk score ≥ 3.0 in the training and testing samples delivered preterm (40.6% and 40.8%, respectively) compared to 3.1–3.3% of women with a risk score of 0.0 [odds ratio (OR) 13.0, 95% confidence interval (CI) 10.7–15.8, training; OR 12.2, 95% CI 9.4–15.9, testing). Additionally, over 18% of women with a risk score ≥ 3.0 had an adverse outcome other than preterm birth.
Conclusion Maternal factors that are identifiable prior to pregnancy or during the first-trimester can be used create a cumulative risk score to identify women at the lowest and highest risk for preterm birth regardless of race/ethnicity or socioeconomic status. Further, we found that this cumulative risk score could also identify women at risk for other adverse outcomes who did not have a preterm birth. The risk score is not an effective screening test, but does identify women at very high risk of a preterm birth.
Details
- Title: Subtitle
- Pre-pregnancy or first-trimester risk scoring to identify women at high risk of preterm birth
- Creators
- Rebecca J Baer - Department of Pediatrics, University of California San Diego, La Jolla, CA, United StatesMonica R McLemore - California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United StatesNancy Adler - Departments of Psychiatry and Pediatrics, Center for Health and Community, University of California San Francisco School of Medicine, San Francisco, CA, United StatesScott P Oltman - California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United StatesBrittany D Chambers - California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United StatesMiriam Kuppermann - California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United StatesMatthew S Pantell - Department of Pediatrics, University of California San Francisco School of Medicine, San Francisco, CA, United StatesElizabeth E Rogers - California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United StatesKelli K Ryckman - Departments of Epidemiology and Pediatrics, University of Iowa College of Public Health and Carver College of Medicine, Iowa City, IA, United StatesMarina Sirota - Institute for Computational Health Sciences University of California San Francisco, San Francisco, CA, United StatesLarry Rand - California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United StatesLaura L Jelliffe-Pawlowski - California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States
- Resource Type
- Journal article
- Publication Details
- European journal of obstetrics & gynecology and reproductive biology, Vol.231, pp.235-240
- DOI
- 10.1016/j.ejogrb.2018.11.004
- PMID
- 30439652
- PMCID
- PMC6697157
- NLM abbreviation
- Eur J Obstet Gynecol Reprod Biol
- ISSN
- 0301-2115
- eISSN
- 1872-7654
- Publisher
- Elsevier B.V
- Language
- English
- Date published
- 12/2018
- Academic Unit
- Stead Family Department of Pediatrics; Epidemiology
- Record Identifier
- 9983996192102771
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