Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability

• Published in: European journal of obstetrics & gynecology and reproductive biology Vol. 292; pp. 187 - 193
• Main Authors: Al-Memar, Maya, Fourie, Hanine, Vaulet, Thibaut, Lawson, Kim, Bobdiwala, Shabnam, Saso, Srdjan, Farren, Jessica, Pipi, Maria, De Moor, Bart, Stalder, Catriona, Bennett, Phillip, Timmerman, Dirk, Bourne, Tom
• Format: Journal Article
• Language: English
• Published: Ireland 01-01-2024
• Subjects: First trimester; Uncertainty; Miscarriage; Viability; Prediction
• ISSN: 0301-2115; 1872-7654
• DOI: 10.1016/j.ejogrb.2023.11.030

Early prediction of pregnancies destined to miscarry will allow couples to prepare for this common but often unexpected eventuality, and clinicians to allocate finite resources. We aimed to develop a prediction model combining clinical, demographic, and sonographic data as a clinical tool to aid counselling about first trimester pregnancy outcome.
This is a prospective, observational cohort study conducted at Queen Charlotte's and Chelsea Hospital, UK from March 2014 to May 2019. Women with confirmed intrauterine pregnancies between 5 weeks and their dating scan (11-14 weeks) were recruited. Participants attended serial ultrasound scans in the first trimester and at each visit recorded symptoms of vaginal bleeding, pelvic pain, nausea and vomiting using validated scoring tools. Pregnancies were followed up until the dating scan (11-14 weeks). Univariate and multivariate analyses were performed to predict first trimester viability. A model was developed with multivariable logistic regression, variables limited by feature selection, and bootstrapping with multiple imputation was used for internal validation.
1403 women were recruited and after exclusions, data were available for 1105. 160 women (14.5 %) experienced first trimester miscarriage and 945 women (85.5 %) had viable pregnancies at 11-14 weeks' gestation. The average gestational age at the initial visit (calculated from the menstrual dates) was 7 + 1 weeks (+/-12.2 days). A multivariable logistic regression model was developed to predict first trimester viability and included the variables: mean gestational sac diameter, presence of fetal heart pulsations, difference in gestational age from last menstrual period and from mean sac diameter on ultrasonography, current folic acid usage and maternal age. The model demonstrated good performance (optimism-corrected area under curve (AUC) 0.84, 95 % CI 0.81-0.87; optimism-corrected calibration slope 0.969).
We have developed and internally validated a model to predict first trimester viability with good accuracy prior to the 11-14 week dating scan, which now needs to be externally validated prior to clinical use.