Termination of pregnancy due to renal tract abnormalities: survey of 97 fetuses from a single medical center

Yaakov Melcer, Gaby Kaplan, Ido Ben-Ami, Hilla Bahat, Amos Neheman, Narine Galoyan, Ron Maymon*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Objective: The article aimed to assess the spectrum of fetal renal tract abnormalities as a major finding leading to termination of pregnancy (TOP). Method: The study population included all pregnant women with singleton pregnancy who underwent TOP in our institute because of fetal renal tract indications between 1998 and 2015. We specifically excluded TOPs performed because of multiple pregnancies, multisystem defects, abnormal karyotype and chromosomal or genetic defect not related to renal tract abnormalities. The patients were stratified into late TOP (≥24 weeks' gestation) and early TOP (<24 weeks' gestation). Results: There were 97 (3.5%) cases of TOP because of fetal renal abnormalities and are the subjects of this study. Of these cases, 19 (19.6%) were at ≥24 weeks' gestation. Renal cystic disease was the leading indication for late TOP compared with early TOP group (31.8% vs 21.8%, respectively, p = 0.001). Routine prenatal care raised suspicion of abnormalities in 11 (50.9%) cases, and diagnosis was established by additional tests. Abnormal findings were either missed in one (5.3%) case or developed later in two (10.5%) cases. No routine prenatal screening was performed in the remaining five (26.3%) cases. Conclusions: We found a different distribution for fetal renal tract abnormalities leading to late versus early TOP. As many of renal tract malformations could have been diagnosed earlier (~32%), timely scanning may reduce the need for late TOPs in some cases.

Original languageEnglish
Pages (from-to)215-221
Number of pages7
JournalPrenatal Diagnosis
Issue number3
StatePublished - 1 Mar 2017


Dive into the research topics of 'Termination of pregnancy due to renal tract abnormalities: survey of 97 fetuses from a single medical center'. Together they form a unique fingerprint.

Cite this