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European journal of obstetrics, gynecology, and reproductive biology

September 23, 2026 · via Europe PMC

Intrauterine fluid during frozen embryo transfer preparation: Impact of etiology, treatment, and fluid dimension on pregnancy outcomes.

Albayrak ME, Peker N, Karaosmanoğlu Ö, +5 more, Tıraş B.

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Intrauterine fluid during frozen embryo transfer preparation was linked to lower live birth, with larger fluid dimensions associated with worse odds.

What was studied

A comparative study of 83 women with intrauterine fluid during FET preparation and 77 contemporaneous cycles without IUF, analyzing cause, treatment, and fluid dimension against outcomes.

Key findings

  • Live birth 27.7% with IUF vs 42.9% without (p=0.04)
  • Outcomes did not differ significantly by cause; synechiae had lowest trilaminar pattern and endometrial thickness
  • Live birth higher in treated vs untreated women (38.6% vs 15.4%; OR 3.46)
  • Each 1 mm IUF increase associated with lower odds of live birth (adjusted OR 0.29, 95% CI 0.14-0.61)
  • Cut-off of about 2.55 mm for live birth (AUC 0.704)

Clinical relevance

Suggests IUF size and context may inform FET planning, but these exploratory findings from a small sample need confirmation before guiding practice.

Who should care

Obstetrics & Gynaecology

Limitations

Small, exploratory analysis with modest discrimination and wide confidence intervals; treatment was not randomized.

The size of intrauterine fluid before FET may matter for live birth outcomes.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Background

Intrauterine fluid (IUF) is detected relatively frequently during frozen embryo transfer (FET) preparation, yet its prognostic meaning remains unclear. We compared outcomes across the causes of IUF and the treatments applied, assessed whether the IUF dimension was associated with outcomes, and compared cycles with and without IUF.

Methods

Eighty-three women with IUF detected during FET preparation and 77 contemporaneous cycles without IUF were analyzed. IUF was measured by transvaginal ultrasonography as maximum anteroposterior diameter and classified by cause (isthmocele, synechiae, idiopathic) and management (no treatment, medical, surgical). Cut-off values were explored by receiver operating characteristic (ROC) analysis, and exploratory logistic regression models for live birth were fitted.

Results

Live birth was lower with IUF than in controls (27.7 % vs 42.9 %, p = 0.04). Outcomes did not differ significantly across causes, although the trilaminar pattern (38.5 % vs 69.7 %, p = 0.038) and endometrial thickness (p = 0.02) were lowest in synechiae. Live birth was more frequent in treated than untreated women (38.6 % vs 15.4 %; OR 3.46, 95 % CI 1.20-10.00). The IUF dimension discriminated both outcomes better than chance (AUC 0.668, cut-off 3.10 mm for the pregnancy test; 0.704 and 2.55 mm for live birth), and each 1 mm increase was independently associated with lower odds of live birth (adjusted OR 0.29, 95 % CI 0.14-0.61).

Conclusion

These exploratory findings suggest that IUF before FET is more than a present-or-absent finding: its dimension was independently associated with live birth. Assessing dimension, etiology, persistence and endometrial pattern together may be more informative than any single parameter.

DOI

10.1016/j.ejogrb.2026.115454

PMID

42800372

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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