Predictive Value of Antimüllerian Hormone (AMH) and Other Predictors in the Diagnosis of Micropolycystic Ovary Syndrome in Infertile Patients from Butembo in the Democratic Republic of Congo

Introduction: Micropolycystic ovary syndrome (MPCOS) is one of the main causes of female infertility worldwide. The aim of the study is to determine the predictive value of AMH and other predictors in the diagnosis of MPCOS in the city of Butembo. Material and methods: This was a cross-sectional, analytical, multi-site study conducted in the town of Butembo on 89 infertile patients with MPCOS, married, aged 20 to 45, without hyperprolactinaemia, selected according to the Rotterdam criteria of 2003; 89 infertile patients without MPCOS were matched. Data analysis was performed using R software version 4.4.1. Results: The area under the ROC curve was 0.845 with a sensitivity of 79.8%, a specificity of 76.4% and the best cut-off value for AMH to predict the diagnosis of MPCOS was 5.8 ng/l. In multivariate analysis, AMH (ORa = 1.30 [95% CI = 1.20 - 1.42], p 2 (ORa = 1.17 [95% confidence interval = 1.06 - 1.30], p = 0.002) and testosterone in ng/l (OR = 2.02 [95% confidence interval = 1.25 - 4.00], p = 0.012). Conclusion: AMH proved to be a good predictor of MPCOS in our context, with satisfactory sensitivity, specificity, PPV and NPV. The best threshold value for AMH to predict the diagnosis of MPCOS is 5.8 ng/l.

Authors

Publication Details

Journal
Open Journal of Obstetrics and Gynecology
Published
2025-01-01
DOI
https://doi.org/10.4236/ojog.2025.154060
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Value of Antimüllerian Hormone (AMH) and Other Predictors in the Diagnosis of Micropolycystic Ovary Syndrome in Infertile Patients from Butembo in the Democratic Republic of Congo

Noël Labama Otuli, Jean Didier Bosenge Nguma, Gédéon Katenga Bosunga, Olivier Mulisya et al.
Open Journal of Obstetrics and Gynecology
Ovarian function and disorders
article

Predictive Value of Antimüllerian Hormone (AMH) and Other Predictors in the Diagnosis of Micropolycystic Ovary Syndrome in Infertile Patients from Butembo in the Democratic Republic of Congo

Noël Labama Otuli, Jean Didier Bosenge Nguma, Gédéon Katenga Bosunga, Olivier Mulisya, Etienne Kakule Ndungo, Jean-Jeannot Juakali Sihalikyolo, Philémon Mumbere Matumo, Antoine Modia O’yandjo, Emmanuel Komanda Likwekwe, Patrick Batakuya Magala, Albain Baraka Munyanderu
article en

Abstract

Introduction: Micropolycystic ovary syndrome (MPCOS) is one of the main causes of female infertility worldwide. The aim of the study is to determine the predictive value of AMH and other predictors in the diagnosis of MPCOS in the city of Butembo. Material and methods: This was a cross-sectional, analytical, multi-site study conducted in the town of Butembo on 89 infertile patients with MPCOS, married, aged 20 to 45, without hyperprolactinaemia, selected according to the Rotterdam criteria of 2003; 89 infertile patients without MPCOS were matched. Data analysis was performed using R software version 4.4.1. Results: The area under the ROC curve was 0.845 with a sensitivity of 79.8%, a specificity of 76.4% and the best cut-off value for AMH to predict the diagnosis of MPCOS was 5.8 ng/l. In multivariate analysis, AMH (ORa = 1.30 [95% CI = 1.20 - 1.42], p 2 (ORa = 1.17 [95% confidence interval = 1.06 - 1.30], p = 0.002) and testosterone in ng/l (OR = 2.02 [95% confidence interval = 1.25 - 4.00], p = 0.012). Conclusion: AMH proved to be a good predictor of MPCOS in our context, with satisfactory sensitivity, specificity, PPV and NPV. The best threshold value for AMH to predict the diagnosis of MPCOS is 5.8 ng/l.

Open Journal of Obstetrics and GynecologyVol. 15(04)
Zero hunger
Openalex Percentile: Top 88%
Ovarian function and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predictive Value of Antimüllerian Hormone (AMH) and Other Predictors in the Diagnosis of Micropolycystic Ovary Syndrome in Infertile Patients from Butembo in the Democratic Republic of Congo — Noël Labama Otuli, Jean Didier Bosenge Nguma, et al. · Open Journal of Obstetrics and Gynecology (2025) | TGRS Research Map | TGRS