Menu Close

Quantifying Bias between Reported Last Menstrual Period and Ultrasonography Estimates of Gestational Age in Lusaka, Zambia

Citation

Price, Joan T.; Winston, Jennifer Jane; Vwalika, Bellington; Cole, Stephen R.; Stoner, Marie C. D.; Lubeya, Mwansa K.; Kumwenda, Andrew; & Stringer, Jeffrey S. A. (2019). Quantifying Bias between Reported Last Menstrual Period and Ultrasonography Estimates of Gestational Age in Lusaka, Zambia. International Journal of Gynecology & Obstetrics, 144(1), 9-15. PMCID: PMC6283668

Abstract

OBJECTIVE: To quantify differences in assessing preterm delivery when calculating gestational age from last menstrual period (LMP) versus ultrasonography biometry.
METHODS: The Zambian Preterm Birth Prevention Study is an ongoing prospective cohort study that commenced enrolment in August 2015 at Women and Newborn Hospital of University Teaching Hospital in Lusaka, Zambia. Women at less than 20 weeks of pregnancy who were enrolled between August 17, 2015, and August 31, 2017, and underwent ultrasonography examination were included in the present analysis. The primary outcome was the difference between ultrasonography- and LMP-based estimated gestational age. Associations between baseline predictors and outcomes were assessed using simple regression. The proportion of preterm deliveries using LMP- and ultrasonography-derived gestational dating was calculated using Kaplan-Meier analysis.
RESULTS: The analysis included 942 women. The discrepancy between estimating gestational age using ultrasonography and LMP increased with greater gestational age at presentation and among patients with no history of preterm delivery. In a Kaplan-Meier analysis of 692 deliveries, 140 (20.2%, 95% confidence interval [CI] 17.7-23.0) and 79 (11.4%, 95% CI 9.6-13.6) deliveries were classified as preterm by LMP and ultrasonography estimates, respectively.
CONCLUSION: Taking ultrasonography as a standard, a bias was observed in LMP-based gestational age estimates; these increased with advancing gestation at presentation. This resulted in misclassification of term deliveries as preterm.

URL

http://dx.doi.org/10.1002/ijgo.12686

Reference Type

Journal Article

Year Published

2019

Journal Title

International Journal of Gynecology & Obstetrics

Author(s)

Price, Joan T.
Winston, Jennifer Jane
Vwalika, Bellington
Cole, Stephen R.
Stoner, Marie C. D.
Lubeya, Mwansa K.
Kumwenda, Andrew
Stringer, Jeffrey S. A.

PMCID

PMC6283668