Can Ratios Between Prognostic Factors Predict the Clinical Pregnancy Rate in an IVF/ICSI Program with a GnRH Agonist-FSH/hMG Protocol? An Assessment of 2421 Embryo Transfers, and a Review of the Literature
None of the models developed in in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) is sufficiently good predictors of pregnancy. The aim of this study was to determine whether ratios between prognostic factors could predict the clinical pregnancy rate in IVF/ICSI. We analyzed IVF/ICSI cycles (based on long GnRH agonist-FSH protocols) at two ART centers (the second to validate externally the data). The ratios studied were (i) the total FSH dose divided by the serum estradiol level on the hCG trigger day, (ii) the total FSH dose divided by the number of mature oocytes, (iii) the serum estradiol level on the trigger day divided by the number of mature oocytes, (iv) the serum estradiol level on the trigger day divided by the endometrial thickness on the trigger day, (v) the serum estradiol level on the trigger day divided by the number of mature oocytes and then by the number of grade 1 or 2 embryos obtained, and (vi) the serum estradiol level on the trigger day divided by the endometrial thickness on the trigger day and then by the number of grade 1 or 2 embryos obtained. The analysis covered 2421 IVF/ICSI cycles with an embryo transfer, leading to 753 clinical pregnancies (31.1% per transfer). Four ratios were significantly predictive in both centers; their discriminant power remained moderate (area under the receiver operating characteristic curve between 0.574 and 0.610). In contrast, the models' calibration was excellent (coefficients: 0.943-0.978; p < 0.001). Our ratios were no better than existing models in IVF/ICSI programs. In fact, a strongly discriminant predictive model will be probably never be obtained, given the many factors that influence the occurrence of a pregnancy.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:28 |
|---|---|
| Enthalten in: |
Reproductive sciences (Thousand Oaks, Calif.) - 28(2021), 2 vom: 04. Feb., Seite 495-509 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Merviel, Philippe [VerfasserIn] |
|---|
| Links: |
|---|
| Anmerkungen: |
Date Completed 23.11.2021 Date Revised 23.11.2021 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1007/s43032-020-00307-2 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM314591680 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM314591680 | ||
| 003 | DE-627 | ||
| 005 | 20231225153046.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s43032-020-00307-2 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1048.xml |
| 035 | |a (DE-627)NLM314591680 | ||
| 035 | |a (NLM)32886340 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Merviel, Philippe |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Can Ratios Between Prognostic Factors Predict the Clinical Pregnancy Rate in an IVF/ICSI Program with a GnRH Agonist-FSH/hMG Protocol? An Assessment of 2421 Embryo Transfers, and a Review of the Literature |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 23.11.2021 | ||
| 500 | |a Date Revised 23.11.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a None of the models developed in in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) is sufficiently good predictors of pregnancy. The aim of this study was to determine whether ratios between prognostic factors could predict the clinical pregnancy rate in IVF/ICSI. We analyzed IVF/ICSI cycles (based on long GnRH agonist-FSH protocols) at two ART centers (the second to validate externally the data). The ratios studied were (i) the total FSH dose divided by the serum estradiol level on the hCG trigger day, (ii) the total FSH dose divided by the number of mature oocytes, (iii) the serum estradiol level on the trigger day divided by the number of mature oocytes, (iv) the serum estradiol level on the trigger day divided by the endometrial thickness on the trigger day, (v) the serum estradiol level on the trigger day divided by the number of mature oocytes and then by the number of grade 1 or 2 embryos obtained, and (vi) the serum estradiol level on the trigger day divided by the endometrial thickness on the trigger day and then by the number of grade 1 or 2 embryos obtained. The analysis covered 2421 IVF/ICSI cycles with an embryo transfer, leading to 753 clinical pregnancies (31.1% per transfer). Four ratios were significantly predictive in both centers; their discriminant power remained moderate (area under the receiver operating characteristic curve between 0.574 and 0.610). In contrast, the models' calibration was excellent (coefficients: 0.943-0.978; p < 0.001). Our ratios were no better than existing models in IVF/ICSI programs. In fact, a strongly discriminant predictive model will be probably never be obtained, given the many factors that influence the occurrence of a pregnancy | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a IVF/ICSI | |
| 650 | 4 | |a predictive factor | |
| 650 | 4 | |a predictive model | |
| 650 | 4 | |a pregnancy | |
| 650 | 4 | |a validation | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 650 | 7 | |a Fertility Agents, Female |2 NLM | |
| 650 | 7 | |a Gonadotropin-Releasing Hormone |2 NLM | |
| 650 | 7 | |a 33515-09-2 |2 NLM | |
| 650 | 7 | |a Estradiol |2 NLM | |
| 650 | 7 | |a 4TI98Z838E |2 NLM | |
| 650 | 7 | |a Menotropins |2 NLM | |
| 650 | 7 | |a 61489-71-2 |2 NLM | |
| 650 | 7 | |a Follicle Stimulating Hormone |2 NLM | |
| 650 | 7 | |a 9002-68-0 |2 NLM | |
| 700 | 1 | |a Menard, Michel |e verfasserin |4 aut | |
| 700 | 1 | |a Cabry, Rosalie |e verfasserin |4 aut | |
| 700 | 1 | |a Scheffler, Florence |e verfasserin |4 aut | |
| 700 | 1 | |a Lourdel, Emmanuelle |e verfasserin |4 aut | |
| 700 | 1 | |a Le Martelot, Marie-Thérèse |e verfasserin |4 aut | |
| 700 | 1 | |a Roche, Sylvie |e verfasserin |4 aut | |
| 700 | 1 | |a Chabaud, Jean-Jacques |e verfasserin |4 aut | |
| 700 | 1 | |a Copin, Henri |e verfasserin |4 aut | |
| 700 | 1 | |a Drapier, Hortense |e verfasserin |4 aut | |
| 700 | 1 | |a Benkhalifa, Moncef |e verfasserin |4 aut | |
| 700 | 1 | |a Beauvillard, Damien |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Reproductive sciences (Thousand Oaks, Calif.) |d 2007 |g 28(2021), 2 vom: 04. Feb., Seite 495-509 |w (DE-627)NLM171524403 |x 1933-7205 |7 nnns |
| 773 | 1 | 8 | |g volume:28 |g year:2021 |g number:2 |g day:04 |g month:02 |g pages:495-509 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/s43032-020-00307-2 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 28 |j 2021 |e 2 |b 04 |c 02 |h 495-509 | ||