The potential of survivin as a non-invasive diagnostic marker for endometriosis in patients with type 1 diabetes mellitus
- Authors: Andreeva N.Y.1, Yarmolinskaya M.I.1, Misharina E.V.1, Tkachenko N.N.1
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Affiliations:
- The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott
- Issue: Vol 72, No 6 (2023)
- Pages: 5-15
- Section: Original Research
- URL: https://journals.eco-vector.com/jowd/article/view/567975
- DOI: https://doi.org/10.17816/JOWD567975
- ID: 567975
Cite item
Abstract
BACKGROUND: According to international data, about 5-10% of women of reproductive age suffer from this disease, while in women with chronic pelvic pain or infertility the incidence ranges from 35% to 50%. At the same time, women of reproductive age diagnosed with diabetes mellitus type 1 may also suffer from endometriosis, but asymptomatic or atypical in the initial stages of the disease, which varies considerably in duration, may be the cause of untimely diagnosis. Existing diagnostic methods in the form of bimanual examination, ultrasound, MRI, laparoscopic surgery, and even histologic verification do not allow to exclude with certainty the presence of the disease.
AIM: The aim of this study was to investigate the prevalence and characteristics of endometriosis among patients with type 1 diabetes mellitus to develop a diagnostic prognostic model.
MATERIALS AND METHODS: We carried out a retrospective analysis of medical records from the Gynecological Unit of the Second Department of Gynecology and Endocrinology and the Scientific Advisory Department of D.O. Ott Research Institute of Obstetrics, Gynecology, and Reproductive Medicine, St. Petersburg, Russia for the period of 2010–2021. The study cohort included cases of endometriosis in patients with type 1 diabetes mellitus recorded in inpatient or outpatient medical histories. Clinical characteristics of the prevalence of endometriosis in women with type 1 diabetes mellitus were based on an analysis of 2316 medical records in this patient group. The prospective cohort of the case-control study included 137 patients and involved the evaluation of survivin levels in serum on days 5–7 of the menstrual cycle in four study groups: type 1 diabetes mellitus in combination with endometriosis, endometriosis, type 1 diabetes mellitus, and healthy women of reproductive age. Additionally, we examined the gynecological history of patients. Statistical processing of the data obtained and predictive modeling were performed using a binary logistic regression analysis.
RESULTS: The prevalence of endometriosis among patients with type 1 diabetes mellitus was 1.11%. Risk indicators for the presence of endometriosis were determined based on risk factor values for patients with or without type 1 diabetes mellitus. Patient groups with a probability of having endometriosis exceeding 50% were identified, requiring diagnostic and therapeutic measures aimed at timely initiation of therapy.
CONCLUSIONS: Predicting the likelihood of endometriosis presence will enable timely preventive and therapeutic measures aimed at improving the patient’s quality of life.
Keywords
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About the authors
Nelly Yu. Andreeva
The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott
Author for correspondence.
Email: nelly8352@yahoo.com
ORCID iD: 0000-0002-1928-1266
SPIN-code: 3355-2646
Russian Federation, Saint Petersburg
Maria I. Yarmolinskaya
The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott
Email: m.yarmolinskaya@gmail.com
ORCID iD: 0000-0002-6551-4147
SPIN-code: 3686-3605
MD, Dr. Sci. (Med.), Professor of the Russian Academy of Sciences
Russian Federation, Saint PetersburgElena V. Misharina
The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott
Email: mishellena@gmail.com
ORCID iD: 0000-0002-0276-7112
SPIN-code: 7350-5674
MD, Cand. Sci. (Med.)
Russian Federation, Saint PetersburgNatalia N. Tkachenko
The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott
Email: liberin@mail.ru
ORCID iD: 0000-0001-6189-3488
SPIN-code: 9633-6701
Cand. Sci. (Biol.)
Russian Federation, Saint PetersburgReferences
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