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Markers of deep infiltrating endometriosis in patients with ovarian endometrioma: a predictive model.
Eur J Obstet Gynecol Reprod Biol. 2017 Feb; 209:55-60.EJ

Abstract

OBJECTIVE

The purpose of the study was to develop an easily applicable predictive model to predict deep infiltrating endometriosis in patients with ovarian endometrioma.

STUDY DESIGN

We performed a retrospective analysis of 178 consecutive women with ovarian endometrioma who underwent surgery, with histological confirmation and complete removal of endometriosis in the Hospital Clinic of Barcelona. Several markers were prospectively obtained and compared between the group of patients presenting deep infiltrating endometriosis associated with ovarian endometrioma and women with only ovarian endometrioma. Multiple logistic regression analysis was performed to create a model to predict the presence of deep infiltrating endometriosis and internal validation was later performed.

RESULTS

Of the 178 patients studied, 80 (45%) were classified in the ovarian endometrioma group and 98 (55%) in the group of patients presenting deep infiltrating endometriosis associated with ovarian endometrioma. The independent variables to predict deep infiltrating endometriosis were: at least one previous pregnancy, a past history of surgery for endometriosis and the mean endometriosis-associated pelvic pain score. The area under the ROC curve was 0.91 (95% confidence interval: 0.86-0.94), with an optimal cut-off of the predicted probability of 0.54. The sensitivity of the model was 80% and the specificity 84%.

CONCLUSIONS

This model predicts the development of deep infiltrating endometriosis in patients with ovarian endometriomas allowing prioritization of women for referral to specialized centers.

Authors+Show Affiliations

Clinic Institute of Gynecology, Obstetrics and Neonatology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.Clinic Institute of Gynecology, Obstetrics and Neonatology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.Clinic Institute of Gynecology, Obstetrics and Neonatology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.Clinic Institute of Gynecology, Obstetrics and Neonatology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.Clinic Institute of Gynecology, Obstetrics and Neonatology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.CRESIB (Barcelona Center for International Health Research), Hospital Clínic, Barcelona, Spain.Clinic Institute of Gynecology, Obstetrics and Neonatology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.Clinic Institute of Gynecology, Obstetrics and Neonatology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain. Electronic address: fcarmona@clinic.ub.es.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

26688210

Citation

Perelló, Maria, et al. "Markers of Deep Infiltrating Endometriosis in Patients With Ovarian Endometrioma: a Predictive Model." European Journal of Obstetrics, Gynecology, and Reproductive Biology, vol. 209, 2017, pp. 55-60.
Perelló M, Martínez-Zamora MA, Torres X, et al. Markers of deep infiltrating endometriosis in patients with ovarian endometrioma: a predictive model. Eur J Obstet Gynecol Reprod Biol. 2017;209:55-60.
Perelló, M., Martínez-Zamora, M. A., Torres, X., Munrós, J., Llecha, S., De Lazzari, E., Balasch, J., & Carmona, F. (2017). Markers of deep infiltrating endometriosis in patients with ovarian endometrioma: a predictive model. European Journal of Obstetrics, Gynecology, and Reproductive Biology, 209, 55-60. https://doi.org/10.1016/j.ejogrb.2015.11.024
Perelló M, et al. Markers of Deep Infiltrating Endometriosis in Patients With Ovarian Endometrioma: a Predictive Model. Eur J Obstet Gynecol Reprod Biol. 2017;209:55-60. PubMed PMID: 26688210.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Markers of deep infiltrating endometriosis in patients with ovarian endometrioma: a predictive model. AU - Perelló,Maria, AU - Martínez-Zamora,Maria A, AU - Torres,Ximena, AU - Munrós,Jordina, AU - Llecha,Silvia, AU - De Lazzari,Elisa, AU - Balasch,Juan, AU - Carmona,Francisco, Y1 - 2015/11/26/ PY - 2015/08/19/received PY - 2015/11/17/revised PY - 2015/11/18/accepted PY - 2015/12/22/pubmed PY - 2017/6/7/medline PY - 2015/12/22/entrez KW - Diagnosis KW - EAPP score KW - Endometriosis KW - Ovarian endometrioma KW - Prediction model SP - 55 EP - 60 JF - European journal of obstetrics, gynecology, and reproductive biology JO - Eur. J. Obstet. Gynecol. Reprod. Biol. VL - 209 N2 - OBJECTIVE: The purpose of the study was to develop an easily applicable predictive model to predict deep infiltrating endometriosis in patients with ovarian endometrioma. STUDY DESIGN: We performed a retrospective analysis of 178 consecutive women with ovarian endometrioma who underwent surgery, with histological confirmation and complete removal of endometriosis in the Hospital Clinic of Barcelona. Several markers were prospectively obtained and compared between the group of patients presenting deep infiltrating endometriosis associated with ovarian endometrioma and women with only ovarian endometrioma. Multiple logistic regression analysis was performed to create a model to predict the presence of deep infiltrating endometriosis and internal validation was later performed. RESULTS: Of the 178 patients studied, 80 (45%) were classified in the ovarian endometrioma group and 98 (55%) in the group of patients presenting deep infiltrating endometriosis associated with ovarian endometrioma. The independent variables to predict deep infiltrating endometriosis were: at least one previous pregnancy, a past history of surgery for endometriosis and the mean endometriosis-associated pelvic pain score. The area under the ROC curve was 0.91 (95% confidence interval: 0.86-0.94), with an optimal cut-off of the predicted probability of 0.54. The sensitivity of the model was 80% and the specificity 84%. CONCLUSIONS: This model predicts the development of deep infiltrating endometriosis in patients with ovarian endometriomas allowing prioritization of women for referral to specialized centers. SN - 1872-7654 UR - https://www.unboundmedicine.com/medline/citation/26688210/Markers_of_deep_infiltrating_endometriosis_in_patients_with_ovarian_endometrioma:_a_predictive_model_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0301-2115(15)00415-7 DB - PRIME DP - Unbound Medicine ER -