View clinical trials related to ART.
Filter by:Rationale: A rising number of adenomyosis cases are being diagnosed in women in the age group of 30 to 40 years. This is due to a combination of better diagnostic imaging techniques and a higher number of women delaying the fulfilment of their fertility aspirations. The association between adenomyosis and pregnancy outcomes in women with subfertility has not been adequately explained by existing evidence due to lack of data on the association between the severity of adenomyosis, disease location, presence of symptoms and coexisting gynaecological conditions and pregnancy loss in women undergoing fertility treatment. There is a need to improve our understanding of prognostic features which would be beneficial in counselling women with adenomyosis undergoing fertility treatment and inform future management options. The investigators propose a research body of work aimed at improving our understanding of adenomyosis and its association with pregnancy loss. Objective: The aim of the study is to determine the association between adenomyosis and pregnancy loss in women undergoing assisted reproductive technology (ART) treatment. Study design: Prospective multicentre cohort study. The cohort will comprise of women with adenomyosis undergoing ART treatment and the control group will include women with normal uterus on baseline ultrasound scan undergoing ART treatment during the study duration. Settings: The study will be conducted at all main CARE fertility units, one of the largest providers of fertility treatment in the United Kingdom. Participant population with exposure and sample size: The cohort group will comprise of women diagnosed with adenomyosis on pre-treatment baseline ultrasound scan before ART treatment who satisfy the eligibility criteria and consent to participate in the study. The total sample size for this study will be 750 participants with 375 women in each arm. Recruitment will take place over the course of 18 months. Diagnostic tool for detection of exposure: The diagnosis of adenomyosis will be made using transvaginal ultrasound scan (TVS) (2D and 3D Ultrasound and applying Morphological Uterus Sonographic Assessment (MUSA) criteria. Schematic mapping system of adenomyosis severity proposed by Lazzeri and colleagues will be used to grade the severity of adenomyosis. Eligibility: Inclusion criteria: All women aged >18 years and ≤42 years undergoing IVF/ICSI cycle. Exclusion criteria: Women with coexisting fibroid uterus, endometrioma confirmed on USS or known laparoscopic diagnosis of endometriosis (with histological confirmation), untreated hydrosalpinx, uterine malformation, previous myomectomy, previous surgery for adenomyosis or inconclusive USS. Recruitment: All women undergoing pre-treatment pelvic ultrasound scans before ART treatment will be screened for adenomyosis at the participating centres. Women who meet the eligibility criteria will be provided with an information leaflet about the study. They will be enrolled in the study after informed consent is obtained. The severity of adenomyosis will be subsequently evaluated using stored 2D and 3D ultrasound scan (USS) images. Several demographic, clinical and treatment characteristics will be recorded for each participant. Control: To ensure adequate comparability of the cohort, women with normal uterus on baseline ultrasound scan during the study duration will be used as control and will be matched for the following variables: age, embryo quality, type of ART cycle (donor or self and IVF or ICSI) and number of embryos transferred. The eligibility criteria will be applicable to the controls as well. Outcome measures: Primary outcome: Pregnancy loss up to 24 weeks out of all pregnancies achieved. The pregnancy loss will include biochemical pregnancy loss, miscarriage, pregnancy of unknown location (PUL) and ectopic pregnancy. This will be reported per embryo transfer and per woman. Secondary outcomes:1. Implantation rate per embryo transfer (number of gestational sacs divided by number of embryos transferred) and per woman; 2. Biochemical pregnancy rate per embryo transfer (positive pregnancy test following embryo transfer) and per woman; 3. Clinical pregnancy rate per embryo transfer (presence of at least one intrauterine gestational sac on ultrasound) and per woman; 4. Ongoing pregnancy rate per woman (defined as a live pregnancy at 12 weeks onwards); 5. Live birth rate after 34 weeks per woman. Subgroup analysis: We will carry out subgroup analysis according to specific patient characteristics. These analyses will include, but not necessarily be limited to women with the following characteristics:1. Varying severity of adenomyosis; 2. Presence /absence of symptoms of adenomyosis; 3. Frozen vs. Fresh embryo transfer; 4. Short vs. long vs. ultralong ovarian stimulation protocol; 5. Recurrent miscarriages; 6. Other associations that may become apparent in post-hoc analyses.
It is important to make sure that women have access to effective methods of contraception to prevent pregnancy so that they can make choices about when and if they will have their first or next child. Some of the most effective methods of contraception are the long-acting, reversible methods of contraception (LARCS), including the contraceptive implant and the contraceptive injection. In areas of the world where there are high numbers of people living with HIV, providing contraception to women is sometimes complicated, as there are known to be interactions between some of the medications that treat HIV and some hormonal methods of contraception. One medication to treat HIV, dolutegravir, is now one of the first-line treatments for HIV in Botswana, and more and more women of childbearing age are taking dolutegravir to treat HIV. At the moment, there is limited information on whether or not there are interactions between dolutegravir (the HIV medication) and the contraceptive implant or the contraceptive injection, two commonly used methods of contraception in Botswana. The main purpose of this study is to find out if women using contraception and also taking dolutegravir have lower levels of contraceptive hormone in their blood compared to women taking no HIV treatment. The study hypothesis is that there is no interaction between dolutegravir and the contraceptive implant or injection. In this study, levels of hormone from the injection or the implant will be measured in women living with HIV who take dolutegravir and compared to hormone levels in women who do not have HIV and who have never taken any medications to treat HIV. Women will be counselled about all of the possible methods of contraception (including the pill, the injection, the implant and the copper intrauterine device (or coil/loop)) that are available and will be empowered to make their own decision about the method of contraception they feel will be best for them. Women who choose the implant or the injection will be invited to enrol in the study; and will be categorised into one of four groups, based on whether or not they are living with HIV and taking dolutegravir. At several time points, women will have blood tests to check the level of hormone from the implant or the injection, over a course of 12 weeks for women starting the injection and 24 weeks for women starting the implant. Women will also be asked to complete a short questionnaire about any side effects from the contraception including changes to bleeding patterns. At the end of the 12 weeks (for women starting the injection) or 24 weeks (for women starting the implant), the results from these blood samples will be analysed to see how the levels of the hormone in their blood changed over time. The study will also look at whether the levels of dolutegravir (the HIV medication) changed over time. These results will be compared between women living with HIV taking dolutegravir and women without HIV who have never taken dolutegravir to see whether there is any interaction between dolutegravir and the hormonal contraceptive implant or contraceptive injection.
This study seeks to use a group-based microfinance/internal lending model to develop social capital among people with HIV in Kenya. This will create a context to deliver validated curriculum targeting intimate partner violence, positive parenting, agriculture, small business entrepreneurship, group-interpersonal therapy, and other determinants of well-being and ART adherence among people with HIV. The primary outcomes are viral suppression, ART adherence, and common mental disorders.
The use of machine learning techniques using an artificial intelligence tool is proposed to analyze clinical data to predict best possible IVF/ART outcomes. This tool has been utilized to accurately predict embryo quality here at Cornell. Utilizing this tool to assess objective clinical findings and predict outcomes of assisted reproductive techniques is sought, with the ultimate goal of an automated tool to reduce implicit physician bias. Within this goal, using this tool to objectively and accurately assess baseline ovarian reserve at the start of an ART cycle is proposed, using 3D sonography to image the ovary and artificial intelligence tool to objectively identify baseline antral follicle counts.