Sergey Vladimirovich Lopukhov
Ryazan, Ryazan Oblast, 390044, Russia
NCT Number: NCT04943354
Research objective.
- To study the associations between combinations of single nucleotide polymorphisms and behavioural risk factors with non-communicable diseases and adverse outcomes in women with premature ovarian failure.
Research objectives:
* To study the associations between combinations of single-nucleotide polymorphisms and behavioural risk factors with heart rate disorders and adverse outcomes in women with premature ovarian failure * Examine the associations between combinations of single nucleotide polymorphisms and behavioural risk factors with stable STIs in women with premature ovarian failure. * Examine the associations between combinations of single nucleotide polymorphisms and behavioural risk factors with thrombomolia in women with premature ovarian failure * Study the associations between combinations of single nucleotide polymorphisms and behavioural risk factors and adverse cardiovascular outcomes in women with premature ovarian failure.
Looking for future studies?
Notify MeUp to 45 year
Female
Interventional
Not applicable
Ryazan, Ryazan Oblast, 390044, Russia
Methods of research:
Subject of study.
Women under 45 with Premature Ovarian Failure (PED). It is planned to include 615 people in the study. The study will have both prospective and retrospective parts. Patients will be divided into 4 groups:
The groups will be comparable in number. All data obtained will be calculated for each group separately. A comparative analysis will then be made for all four groups.
Traditional risk factors, existing non-communicable diseases and the quality of life of patients will be identified using standard research methods.
The selected polymorphism groups are associated with various pathological processes leading to unfavourable cardiovascular outcomes. Their role has not been assessed in patients with premature ovarian failure.
The power of the study was calculated based on the expected number of adverse outcomes.
The division of patients into groups is related to the need to compare and evaluate unfavourable outcomes and non-communicable diseases in patients in order to create a risk scale.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Collection of 5 ml of the patient's venous blood, carried out according to standard rules.
Time frame: 2 year
Patient age in years
Time frame: 2 year
Age of onset of menarche expressed in years
Time frame: 2 year
Number of pregnancies in history
Time frame: 2 year
Number of pregnancies that ended in childbirth
Time frame: 2 year
Current presence or absence of menopause
Time frame: 2 year
History of surgery involving bilateral removal of both ovaries
Time frame: 2 year
A history of amenorrhoea for at least 4 months
Time frame: 2 year
Blood follicle-stimulating hormone content expressed in mMED/ml
Time frame: 2 year
Age of onset of menopause
Time frame: 2 year
How many years a person has been in the post-menopausal phase
Time frame: 2 year
Whether the patient is continuously taking oral contraceptives
Time frame: 2 year
Whether the patient is taking regular hormone replacement therapy
Time frame: 2 year
How long the patient has been on hormone replacement therapy
Time frame: 2 year
Does the patient use nicotine-containing substances on a regular basis
Time frame: 2 year
How many cigarettes the patient smokes per day on average
Time frame: 2 year
Number of years of active nicotine use by the patient
Time frame: 2 year
Calculated as the number of cigarettes smoked per day and years of smoking experience divided by 20.
Time frame: 2 year
Patient's height measured in centimetres
Time frame: 2 year
Patient weight measured in kilograms
Time frame: 2 year
Body mass index is determined using the standard method
Time frame: 2 year
Waist circumference measured in centimetres using the standard method
Time frame: 2 year
Hip circumference measured in centimetres using the standard method
Time frame: 2 year
Waist circumference to hip circumference index calculated using the standard method
Time frame: 2 year
Does the patient have a high school education
Time frame: 2 year
Does the patient have a secondary vocational education
Time frame: 2 year
Does the patient have a university degree
Time frame: 2 year
Systolic blood pressure measured using the standard method
Time frame: 2 year
Diastolic blood pressure measured using the standard method
Time frame: 2 year
Heart rate measured using the standard method
Time frame: 2 year
Radial artery pulse measured using standard methods
Time frame: 2 year
History of arterial hypertension
Time frame: 2 year
Ultrasound examination of the heart carried out using standard methods to detect cardiac abnormalities
Time frame: 2 year
Total cholesterol measured by standard methods
Time frame: 2 year
High-density lipoproteins measured by standard methods
Time frame: 2 year
Low density lipoproteins measured by standard methods
Time frame: 2 year
Triglycerides measured by standard methods
Time frame: 2 year
Calculated using the standard method
Time frame: 2 year
Amount of glucose in the blood measured by the standard method
Time frame: 2 year
Glycated haemoglobin measured by standard methods
Time frame: 2 year
Indication of diabetes mellitus in the patient's medical history
Time frame: 2 year
Indication of antihypertensive medication in the patient's medical history
Time frame: 2 year
Use of hypolipidemic drugs in a patient's history
Time frame: 2 year
Indicating a history of metabolic syndrome
Time frame: 2 year
Post-menopausal diagnosis of arrhythmia or other rhythm disturbances based on medical history
Time frame: 2 year
Presence of post-menopausal diagnosis of coronary heart disease according to medical history
Time frame: 2 year
Post-menopausal diagnosis of myocardial infarction based on medical history
Time frame: 2 year
Post-menopausal diagnosis of thromboembolism based on medical history
Time frame: 2 year
Post-menopausal diagnosis of varicose veins in the lower limbs based on medical history
Time frame: 2 year
Post-menopausal diagnosis of acute cerebral haemorrhage on medical history
Time frame: 2 year
Cardiovascular deaths in the post-menopausal period based on the pathologist's medical history report
Time frame: 2 year
Determined on the basis of the medical history
Time frame: 2 year
Identification of Met235Thr/rs699 polymorphisms in the AGT gene
Time frame: 2 year
Identification of Alu Ins/Del I>D, rs4646994 polymorphisms in the ACE gene
Time frame: 2 year
Identification of C786T, rs2070744 polymorphisms in the NOS3 gene
Time frame: 2 year
Identification of Lys198Asn, rs5370 polymorphisms in the EDN1 gene
Time frame: 2 year
Identification of Leu33Pro, rs5918 polymorphisms in the ITGB3 gene
Time frame: 2 year
Identification of C807T, rs1126643 polymorphisms in the ITGA2 gene
Time frame: 2 year
Identification of 455G-A, rs1800790 polymorphisms in the FGB gene
Time frame: 2 year
Identification of 675 5G/4G, rs1799768 polymorphisms in the SERPINE (PAI) 1 gene
Time frame: 2 year
Identification of C3872T, rs1205 polymorphisms in the CRP gene
Time frame: 2 year
Identification of G-197A, rs2275913 polymorphisms in the IL17A gene
Time frame: 2 year
Identification of T-330G, rs2069762 polymorphisms in the IL2 gene
Time frame: 2 year
Identification of C-592A, rs1800872 polymorphisms in the IL10 gene
Time frame: 2 year
Identification of G-308A, rs1800629 polymorphisms in the TNF gene
Time frame: 2 year
Identification of A-717G, rs2794521 polymorphisms in the CRP gene
Time frame: 2 year
Identification of C-174G, rs1800795 polymorphisms in the IL6 gene
Time frame: 2 year
Identification of Arg753Gln, rs5743708 polymorphisms in the TLR2 gene
Time frame: 2 year
Identification of Phe412Leu, rs3775291 polymorphisms in the TLR3 gene
Time frame: 2 year
Identification of Asp299Gly, rs4986790 polymorphisms in the TLR4 gene
Time frame: 2 year
Identification of Ser249Pro, rs5743810 polymorphisms in the TLR6 gene
Time frame: 2 year
Identification of T-1237C, rs5743836 polymorphisms in the TLR9 gene
Ryazan State Medical University
Other
Associations of Combinations of Single-nucleotide Polymorphisms and Behavioural Risk Factors With Non-communicable Diseases and Adverse Outcomes in Women With Premature Ovarian Failure
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