TY - JOUR
T1 - Low lying placenta
T2 - natural course, clinical data, complications and a new model for early prediction of persistency
AU - Farladansky-Gershnabel, Sivan
AU - Gluska, Hadar
AU - Sharon-Weiner, Maya
AU - Shechter-Maor, Gil
AU - Schreiber, Hanoch
AU - Weitzner, Omer
AU - Biron-Shental, Tal
AU - Markovitch, Ofer
N1 - Publisher Copyright:
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023
Y1 - 2023
N2 - Objective: To define the natural course and complications, and develop a model for predicting persistency when low-lying placenta (LLP) is detected early in pregnancy. Methods: This retrospective cohort study included women with LLP detected during an early anatomic scan performed at 13–16 weeks gestation. Additional transvaginal ultrasound exams were assessed for resolution at 22–24 weeks and 36–39 weeks. Patients were categorized as: Group 1–LLP resolved by the second-trimester scan, Group 2–LLP resolved by the third trimester, or Group 3–LLP persisted to delivery. Clinical and laboratory parameters, as well as maternal and neonatal complications, were compared. A linear support vector machine classification was used to define a prediction model for persistent LLP. Results: Among 236 pregnancies with LLP, 189 (80%) resolved by 22–24 weeks, 25 (10.5%) resolved by 36–39 weeks and 22 (9.5%) persisted until delivery. Second trimester hCG levels were higher the longer the LLP persisted (0.8 ± 0.7MoM vs. 1.13 + 0.4 MoM vs. 1.7 ± 1.5 MoM, adjusted p =.03, respectively) and cervical length (mm) was shorter (first trimester: 4.3 ± 0.7 vs. 4.1 ± 0.5 vs. 3.6 ± 1; adjusted p =.008; Second trimester: 4.4 ± 0.1 vs. 4.1 ± 1.2 vs. 3.8 ± 0.8; adjusted p =.02). The predictive accuracy of the linear support vector machine classification model, calculated based on these parameters, was 90.3%. Conclusions: Persistent LLP has unique clinical characteristics and more complications compared to cases that resolved. Persistency can be predicted with 90.3% accuracy, as early as the beginning of the second trimester by using a linear support vector machine classification model.
AB - Objective: To define the natural course and complications, and develop a model for predicting persistency when low-lying placenta (LLP) is detected early in pregnancy. Methods: This retrospective cohort study included women with LLP detected during an early anatomic scan performed at 13–16 weeks gestation. Additional transvaginal ultrasound exams were assessed for resolution at 22–24 weeks and 36–39 weeks. Patients were categorized as: Group 1–LLP resolved by the second-trimester scan, Group 2–LLP resolved by the third trimester, or Group 3–LLP persisted to delivery. Clinical and laboratory parameters, as well as maternal and neonatal complications, were compared. A linear support vector machine classification was used to define a prediction model for persistent LLP. Results: Among 236 pregnancies with LLP, 189 (80%) resolved by 22–24 weeks, 25 (10.5%) resolved by 36–39 weeks and 22 (9.5%) persisted until delivery. Second trimester hCG levels were higher the longer the LLP persisted (0.8 ± 0.7MoM vs. 1.13 + 0.4 MoM vs. 1.7 ± 1.5 MoM, adjusted p =.03, respectively) and cervical length (mm) was shorter (first trimester: 4.3 ± 0.7 vs. 4.1 ± 0.5 vs. 3.6 ± 1; adjusted p =.008; Second trimester: 4.4 ± 0.1 vs. 4.1 ± 1.2 vs. 3.8 ± 0.8; adjusted p =.02). The predictive accuracy of the linear support vector machine classification model, calculated based on these parameters, was 90.3%. Conclusions: Persistent LLP has unique clinical characteristics and more complications compared to cases that resolved. Persistency can be predicted with 90.3% accuracy, as early as the beginning of the second trimester by using a linear support vector machine classification model.
KW - Low lying placenta
KW - linear support vector machine classification model
KW - placenta previa
KW - pregnancy outcome
KW - prenatal ultrasonography
UR - http://www.scopus.com/inward/record.url?scp=85157984537&partnerID=8YFLogxK
U2 - 10.1080/14767058.2023.2204998
DO - 10.1080/14767058.2023.2204998
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 37127592
AN - SCOPUS:85157984537
SN - 1476-7058
VL - 36
JO - Journal of Maternal-Fetal and Neonatal Medicine
JF - Journal of Maternal-Fetal and Neonatal Medicine
IS - 1
M1 - 2204998
ER -