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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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.
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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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