Predictive Role of Progesterone Levels for IVF Outcome in Different Phases of Controlled Ovarian Stimulation for Patients With and Without Endometriosis: Expert View.
Jovan BilaDinara MakhadiyevaJelena DotlicMladen AndjicGulzhanat AimagambetovaSanja TerzicGauri BapayevaAntonio Simone LaganàAntonio Sarria-SantameraMilan TerzicPublished in: Reproductive sciences (Thousand Oaks, Calif.) (2024)
The study aimed to review the role of basal, trigger, and aspiration day progesterone levels (PLs) as predictors of in vitro fertilization (IVF) success for patients with and without endometriosis. A non-systematic review was conducted by searching papers published in English during the period of 1990-2023 in MEDLINE and PubMed, Embase, The Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Cochrane Methodology Register), and Web of Science. The most widely used IVF predictor success was the trigger day progesterone serum level. Many studies utilize the threshold level of 1.5-2.0 ng/ml. However, the predictive power of only progesterone level failed to show high sensitivity and specificity. Contrary, progesterone level on the trigger day combined with the number of mature retrieved oocytes had the highest predictive power. High baseline progesterone level was associated with poor IVF outcomes. Research on progesterone and IVF success in patients with endometriosis is limited but indicates that endometriosis patients seem to benefit from higher progesterone concentrations (≥ 37.1 ng/ml) in IVF cycles. Currently, there is limited data for a definitive insight into the mportance of progesterone in the estimation of IVF success. Nonetheless, this summarized evidence could serve as up-to-date guidance for the role of progesterone in the prediction of IVF outcomes, both in patients with and without endometriosis.
Keyphrases
- estrogen receptor
- systematic review
- pregnancy outcomes
- meta analyses
- randomized controlled trial
- type diabetes
- end stage renal disease
- public health
- pregnant women
- newly diagnosed
- machine learning
- emergency department
- squamous cell carcinoma
- radiation therapy
- metabolic syndrome
- prognostic factors
- skeletal muscle
- weight loss
- clinical practice
- patient reported outcomes
- peritoneal dialysis