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Pregnancy Rate after First Intra Cytoplasmic Sperm Injection- In Vitro Fertilisation Cycle in Patients with Endometrioma with or without Deep Infiltrating Endometriosis
BACKGROUND: To evaluate the impact of the association of endometrioma with or without deep infiltrating endometriosis (DIE) after a first intra cytoplasmic sperm injection- in vitro fertilization (ICSI-IVF) cycle on pregnancy rate. MATERIALS AND METHODS: In this retrospective study, women with endom...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royan Institute
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914494/ https://www.ncbi.nlm.nih.gov/pubmed/24520488 |
Sumario: | BACKGROUND: To evaluate the impact of the association of endometrioma with or without deep infiltrating endometriosis (DIE) after a first intra cytoplasmic sperm injection- in vitro fertilization (ICSI-IVF) cycle on pregnancy rate. MATERIALS AND METHODS: In this retrospective study, women with endometrioma who underwent a first ICSI-IVF cycle from January 2007 to June 2010 were reviewed for pregnancy rate. The main outcome measure was the clinical pregnancy rate. A multiple logistic regression (MLR) was performed; including all variables that were correlated to the conception rate. Only independent factors of pregnancy rate were included in a Recursive Partitioning (RP) model. RESULTS: The study population consisted of 104 patients (37 without DIE and 67 patients with associated DIE). Using multivariable analysis, a lower pregnancy rate was associated with the presence of DIE (OR=0.24 (95% CI: 0.085-0.7); p=0.009) and the use of ICSI (OR=0.23 (95% CI: 0.07-0.8); p=0.02). A higher pregnancy rate was associated with an anti-mullerian hormone (AMH) serum level over 1 ng/ml (OR=4.3 (95% CI: 1.1-19); p=0.049). A RP was built to predict pregnancy rate with good calibration [ROC AUC (95% CI) of 0.70 (0.65-0.75)]. CONCLUSION: Our data support that DIE associated with endometrioma in infertile patients has a negative impact on pregnancy rate after first ICSI-IVF cycle. Furthermore, our predictive model gives couples better information about the likelihood of conceiving. |
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