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A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation
BACKGROUND: The objective was to present a new ovarian response prediction index (ORPI), which was based on anti-Müllerian hormone (AMH) levels, antral follicle count (AFC) and age, and to verify whether it could be a reliable predictor of the ovarian stimulation response. METHODS: A total of 101 pa...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566907/ https://www.ncbi.nlm.nih.gov/pubmed/23171004 http://dx.doi.org/10.1186/1477-7827-10-94 |
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author | Oliveira, Joao Batista A Baruffi, Ricardo LR Petersen, Claudia G Mauri, Ana L Nascimento, Adriana M Vagnini, Laura Ricci, Juliana Cavagna, Mario Franco, Jose G |
author_facet | Oliveira, Joao Batista A Baruffi, Ricardo LR Petersen, Claudia G Mauri, Ana L Nascimento, Adriana M Vagnini, Laura Ricci, Juliana Cavagna, Mario Franco, Jose G |
author_sort | Oliveira, Joao Batista A |
collection | PubMed |
description | BACKGROUND: The objective was to present a new ovarian response prediction index (ORPI), which was based on anti-Müllerian hormone (AMH) levels, antral follicle count (AFC) and age, and to verify whether it could be a reliable predictor of the ovarian stimulation response. METHODS: A total of 101 patients enrolled in the ICSI programme were included. The ORPI values were calculated by multiplying the AMH level (ng/ml) by the number of antral follicles (2–9 mm), and the result was divided by the age (years) of the patient (ORPI=(AMH x AFC)/Patient age). RESULTS: The regression analysis demonstrated significant (P<0.0001) positive correlations between the ORPI and the total number of oocytes and of MII oocytes collected. The logistic regression revealed that the ORPI values were significantly associated with the likelihood of pregnancy (odds ratio (OR): 1.86; P=0.006) and collecting greater than or equal to 4 oocytes (OR: 49.25; P<0.0001), greater than or equal to 4 MII oocytes (OR: 6.26; P<0.0001) and greater than or equal to 15 oocytes (OR: 6.10; P<0.0001). Regarding the probability of collecting greater than or equal to 4 oocytes according to the ORPI value, the ROC curve showed an area under the curve (AUC) of 0.91 and an efficacy of 88% at a cut-off of 0.2. In relation to the probability of collecting greater than or equal to 4 MII oocytes according to the ORPI value, the ROC curve had an AUC of 0.84 and an efficacy of 81% at a cut-off of 0.3. The ROC curve for the probability of collecting greater than or equal to 15 oocytes resulted in an AUC of 0.89 and an efficacy of 82% at a cut-off of 0.9. Finally, regarding the probability of pregnancy occurrence according to the ORPI value, the ROC curve showed an AUC of 0.74 and an efficacy of 62% at a cut-off of 0.3. CONCLUSIONS: The ORPI exhibited an excellent ability to predict a low ovarian response and a good ability to predict a collection of greater than or equal to 4 MII oocytes, an excessive ovarian response and the occurrence of pregnancy in infertile women. The ORPI might be used to improve the cost-benefit ratio of ovarian stimulation regimens by guiding the selection of medications and by modulating the doses and regimens according to the actual needs of the patients. |
format | Online Article Text |
id | pubmed-3566907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35669072013-02-11 A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation Oliveira, Joao Batista A Baruffi, Ricardo LR Petersen, Claudia G Mauri, Ana L Nascimento, Adriana M Vagnini, Laura Ricci, Juliana Cavagna, Mario Franco, Jose G Reprod Biol Endocrinol Research BACKGROUND: The objective was to present a new ovarian response prediction index (ORPI), which was based on anti-Müllerian hormone (AMH) levels, antral follicle count (AFC) and age, and to verify whether it could be a reliable predictor of the ovarian stimulation response. METHODS: A total of 101 patients enrolled in the ICSI programme were included. The ORPI values were calculated by multiplying the AMH level (ng/ml) by the number of antral follicles (2–9 mm), and the result was divided by the age (years) of the patient (ORPI=(AMH x AFC)/Patient age). RESULTS: The regression analysis demonstrated significant (P<0.0001) positive correlations between the ORPI and the total number of oocytes and of MII oocytes collected. The logistic regression revealed that the ORPI values were significantly associated with the likelihood of pregnancy (odds ratio (OR): 1.86; P=0.006) and collecting greater than or equal to 4 oocytes (OR: 49.25; P<0.0001), greater than or equal to 4 MII oocytes (OR: 6.26; P<0.0001) and greater than or equal to 15 oocytes (OR: 6.10; P<0.0001). Regarding the probability of collecting greater than or equal to 4 oocytes according to the ORPI value, the ROC curve showed an area under the curve (AUC) of 0.91 and an efficacy of 88% at a cut-off of 0.2. In relation to the probability of collecting greater than or equal to 4 MII oocytes according to the ORPI value, the ROC curve had an AUC of 0.84 and an efficacy of 81% at a cut-off of 0.3. The ROC curve for the probability of collecting greater than or equal to 15 oocytes resulted in an AUC of 0.89 and an efficacy of 82% at a cut-off of 0.9. Finally, regarding the probability of pregnancy occurrence according to the ORPI value, the ROC curve showed an AUC of 0.74 and an efficacy of 62% at a cut-off of 0.3. CONCLUSIONS: The ORPI exhibited an excellent ability to predict a low ovarian response and a good ability to predict a collection of greater than or equal to 4 MII oocytes, an excessive ovarian response and the occurrence of pregnancy in infertile women. The ORPI might be used to improve the cost-benefit ratio of ovarian stimulation regimens by guiding the selection of medications and by modulating the doses and regimens according to the actual needs of the patients. BioMed Central 2012-11-21 /pmc/articles/PMC3566907/ /pubmed/23171004 http://dx.doi.org/10.1186/1477-7827-10-94 Text en Copyright ©2012 Oliveira et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Oliveira, Joao Batista A Baruffi, Ricardo LR Petersen, Claudia G Mauri, Ana L Nascimento, Adriana M Vagnini, Laura Ricci, Juliana Cavagna, Mario Franco, Jose G A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation |
title | A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation |
title_full | A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation |
title_fullStr | A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation |
title_full_unstemmed | A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation |
title_short | A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation |
title_sort | new ovarian response prediction index (orpi): implications for individualised controlled ovarian stimulation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566907/ https://www.ncbi.nlm.nih.gov/pubmed/23171004 http://dx.doi.org/10.1186/1477-7827-10-94 |
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