A model for pregnancy rates after IVF-ET in patients with infertility and endometriosis.
Eur Rev Med Pharmacol Sci
; 26(19): 7188-7194, 2022 10.
Article
em En
| MEDLINE
| ID: mdl-36263528
ABSTRACT
OBJECTIVE:
The objective of the present study was to examine the clinical factors influencing the pregnancy rate of infertile patients with endometriosis and establish a predictive model. PATIENTS ANDMETHODS:
This study included 158 patients (158 cycles) with infertility and endometriosis who underwent laparoscopic surgery, and in vitro fertilization and embryo transfer (IVF-ET) were evaluated retrospectively between January 2019 and December 2020. The clinical factors in the pregnant and non-pregnant group were analyzed by univariate analysis. Statistically significant variables were subsequently used for multivariate logistic regression to establish the prediction model.RESULTS:
Multivariate logistic regression analyses showed that GnRH-a treatment after operation (OR, 6.562; 95% CI 2.782-15.477; p<0.01), ASRM stage (OR, 0.218; 95% CI 0.093-0.509; p<0.05), the number of high-quality transferred embryos (OR, 3.155; 95% CI 1.647-6.047; p<0.05) were independently associated with successful pregnancy. The area under the curve (AUC) of the prediction model was 0.774 (95% CI 0.700-0.847). According to Hosmer-Lemeshow, the model was well fitted (p>0.05). We applied the bootstrapping method to internal validation, and the result showed that the pregnancy rate predicted by the model and the real data were consistent.CONCLUSIONS:
The models for predicting pregnancy rates after IVF-ET in infertility and endometriosis patients showed high accuracy. The effective methods to increase the number of high-quality embryos need further study.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Endometriose
/
Infertilidade Feminina
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
/
Pregnancy
Idioma:
En
Revista:
Eur Rev Med Pharmacol Sci
Assunto da revista:
FARMACOLOGIA
/
TOXICOLOGIA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China