Cargando…
Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates
Research Question: Does reproductive outcome differ among the various subgroups of poor ovarian responders according to the Bologna criteria? Design: This was a retrospective, cohort study including poor ovarian responders according to Bologna criteria, undergoing an ICSI cycle from January 2011 unt...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179754/ https://www.ncbi.nlm.nih.gov/pubmed/32373068 http://dx.doi.org/10.3389/fendo.2020.00208 |
_version_ | 1783525696785612800 |
---|---|
author | Romito, Alessia Bardhi, Erlisa Errazuriz, Joaquin Blockeel, Christophe Santos-Ribeiro, Samuel Vos, Michel De Racca, Annalisa Mackens, Shari Kelen, Annelore Van Der Panici, Pierluigi Benedetti Vaiarelli, Alberto Tournaye, Herman Drakopoulos, Panagiotis |
author_facet | Romito, Alessia Bardhi, Erlisa Errazuriz, Joaquin Blockeel, Christophe Santos-Ribeiro, Samuel Vos, Michel De Racca, Annalisa Mackens, Shari Kelen, Annelore Van Der Panici, Pierluigi Benedetti Vaiarelli, Alberto Tournaye, Herman Drakopoulos, Panagiotis |
author_sort | Romito, Alessia |
collection | PubMed |
description | Research Question: Does reproductive outcome differ among the various subgroups of poor ovarian responders according to the Bologna criteria? Design: This was a retrospective, cohort study including poor ovarian responders according to Bologna criteria, undergoing an ICSI cycle from January 2011 until December 2017. Patients were divided into four groups: (1) age ≥ 40 years and abnormal ovarian response test, (2) age ≥ 40 years, abnormal ovarian reserve test and one previous poor response to stimulation, (3) age ≥ 40 years and one previous poor response, (4) abnormal ovarian reserve test and one previous poor response. Result(s): Overall, 846 cycles in 706 Bologna poor ovarian responders were included: 310 cycles in group 1, 169 in group 2, 52 in group 3, and 315 in group 4. There were significant differences in age, antral follicle count, antimüllerian hormone, cycle cancellation rates, and number of retrieved oocytes between the four groups. Live birth and cumulative live birth rate differed significantly between groups and were highest in Group 4 [Live birth rate: 7.4% (1) vs. 4.1% (2) vs. 5.8% (3) vs. 13.4% (4), p = 0.001 and Cumulative live birth rate: 8.3% (1) vs. 4.1 % (2) vs. 9.6% (3) vs. 16.8% (4) p < 0.001]. The multivariate GEE analysis revealed that the number of MIIs and the Bologna criteria pattern were the variables which were significantly associated with cumulative live birth rate. Conclusion(s): Poor ovarian responders represent a heterogeneous population. The young subpopulation has a better clinical prognosis in terms of fresh and cumulative live birth rate. |
format | Online Article Text |
id | pubmed-7179754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71797542020-05-05 Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates Romito, Alessia Bardhi, Erlisa Errazuriz, Joaquin Blockeel, Christophe Santos-Ribeiro, Samuel Vos, Michel De Racca, Annalisa Mackens, Shari Kelen, Annelore Van Der Panici, Pierluigi Benedetti Vaiarelli, Alberto Tournaye, Herman Drakopoulos, Panagiotis Front Endocrinol (Lausanne) Endocrinology Research Question: Does reproductive outcome differ among the various subgroups of poor ovarian responders according to the Bologna criteria? Design: This was a retrospective, cohort study including poor ovarian responders according to Bologna criteria, undergoing an ICSI cycle from January 2011 until December 2017. Patients were divided into four groups: (1) age ≥ 40 years and abnormal ovarian response test, (2) age ≥ 40 years, abnormal ovarian reserve test and one previous poor response to stimulation, (3) age ≥ 40 years and one previous poor response, (4) abnormal ovarian reserve test and one previous poor response. Result(s): Overall, 846 cycles in 706 Bologna poor ovarian responders were included: 310 cycles in group 1, 169 in group 2, 52 in group 3, and 315 in group 4. There were significant differences in age, antral follicle count, antimüllerian hormone, cycle cancellation rates, and number of retrieved oocytes between the four groups. Live birth and cumulative live birth rate differed significantly between groups and were highest in Group 4 [Live birth rate: 7.4% (1) vs. 4.1% (2) vs. 5.8% (3) vs. 13.4% (4), p = 0.001 and Cumulative live birth rate: 8.3% (1) vs. 4.1 % (2) vs. 9.6% (3) vs. 16.8% (4) p < 0.001]. The multivariate GEE analysis revealed that the number of MIIs and the Bologna criteria pattern were the variables which were significantly associated with cumulative live birth rate. Conclusion(s): Poor ovarian responders represent a heterogeneous population. The young subpopulation has a better clinical prognosis in terms of fresh and cumulative live birth rate. Frontiers Media S.A. 2020-04-16 /pmc/articles/PMC7179754/ /pubmed/32373068 http://dx.doi.org/10.3389/fendo.2020.00208 Text en Copyright © 2020 Romito, Bardhi, Errazuriz, Blockeel, Santos-Ribeiro, Vos, Racca, Mackens, Kelen, Panici, Vaiarelli, Tournaye and Drakopoulos. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Romito, Alessia Bardhi, Erlisa Errazuriz, Joaquin Blockeel, Christophe Santos-Ribeiro, Samuel Vos, Michel De Racca, Annalisa Mackens, Shari Kelen, Annelore Van Der Panici, Pierluigi Benedetti Vaiarelli, Alberto Tournaye, Herman Drakopoulos, Panagiotis Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates |
title | Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates |
title_full | Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates |
title_fullStr | Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates |
title_full_unstemmed | Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates |
title_short | Heterogeneity Among Poor Ovarian Responders According to Bologna Criteria Results in Diverging Cumulative Live Birth Rates |
title_sort | heterogeneity among poor ovarian responders according to bologna criteria results in diverging cumulative live birth rates |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179754/ https://www.ncbi.nlm.nih.gov/pubmed/32373068 http://dx.doi.org/10.3389/fendo.2020.00208 |
work_keys_str_mv | AT romitoalessia heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT bardhierlisa heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT errazurizjoaquin heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT blockeelchristophe heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT santosribeirosamuel heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT vosmichelde heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT raccaannalisa heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT mackensshari heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT kelenannelorevander heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT panicipierluigibenedetti heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT vaiarellialberto heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT tournayeherman heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates AT drakopoulospanagiotis heterogeneityamongpoorovarianrespondersaccordingtobolognacriteriaresultsindivergingcumulativelivebirthrates |