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| Name | Class |
|---|---|
| Imperial College Healthcare NHS Trust | OTHER |
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To further develop a patient care pathway (incorporating a statistical model which uses the values of biomarkers) in routine clinical practice that will aid the diagnosis and management of women with an ectopic pregnancy.
Purpose and design-There is a need for the patient care pathway to evolve in order to aid and improve the diagnosis and management of women with a pregnancy of unknown location (PUL) and ectopic pregnancy (EP). There is potential for this to be achieved by the incorporation of a statistical model that uses one or more novel markers identified by this study. These markers may replace or add to the effectiveness of markers used in the current statistical model.
Recruitment-200 patients. Inclusion: Patients attending the Early Pregnancy Unit (EPU) in the first trimester with a PUL or ectopic pregnancy on trans-vaginal ultrasound scan between the ages of 18-50 years. Exclusion: Patients diagnosed with cancer, presence of acute medical condition, patients aged less than 18 years, patients who cannot give fully informed study consent.
Consent - Posters will advertise the study. Patients in EPU will be invited to the study by a member of the clinical care team. Written consent will be required for all aspects of the study other than for 3-dimensional scanning of PUL and EP patients, where verbal consent will be obtained. Patients will be given at least 24 hours to consider whether they wish to participate.
Confidentiality - The Chief Investigator will preserve the confidentiality of participants taking part in the study and is registered under the Data Protection Act. Patient consent forms will be stored securely within the study file. All patient identifiable information, where required, will be stored electronically on National Health Service (NHS) approved computers, accessible only by personnel involved in the study via password.
Conflict of interest - None involved in the study have a conflict of interest.
Dissemination of results - No patient identifiable information will be included in the research report or publication. Anonymised results will be disseminated to scientific community by means of publication in peer-reviewed literature and presented at national and international meetings.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Ectopic Pregnancy | Patients diagnosed with ectopic pregnancy Samples collected: Plasma, Serum, Urine, Oral swab, Vaginal Swab If surgery required for tubal ectopic: Fallopian tube, peritoneal washing, trophoblast |
| |
| Surgical termination of pregnancy | Patients undergoing elective surgical termination of pregnancy Samples collected: Plasma, Serum, Urine, Oral swab Vaginal swab, Trophoblast |
| |
| Elective hysterectomy and salpingo-oophorectomy | Patients undergoing elective hysterectomy and salpingo-oophorectomy Samples collected: Fallopian tube, peritoneal washing |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Management of Ectopic Pregnancy | Other | Expectant, Medical or Surgical management of Ectopic Pregnancy |
|
| Measure | Description | Time Frame |
|---|---|---|
| Novel biomarkers for Ectopic Pregnancy prediction and diagnosis | Identification of microRNA and microbiome markers identified in blood, urine, swabs, fallopian tubes, peritoneal washings and trophoblastic tissue that have predictive value in identifying ectopic pregnancies as well as high and low risk pregnancy of unknown location. microRNA will be assessed using blood and trophoblast using cell free profiling assays and quantitative reverse transcription polymerase chain reaction and microbiome will be assessed using Illumina microbiome genomic sequencing. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| microRNA as a biomarker | Identification of novel microRNA markers from blood and trophoblast tissue samples associated with ectopic pregnancy and high-risk pregnancy of unknown location. MicroRNA will be assessed using blood and trophoblast using cell free profiling assays and quantitative reverse transcription polymerase chain reaction. | 3 years |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Tom Bourne, MBBS, PhD, MRCOG | Contact | 0044 203 313 5131 | t.bourne@ic.ac.uk | |
| Christopher Kyriacou, MBBS, BSc | Contact | 0044 203 313 5131 | christopher.kyriacou@nhs.net |
| Name | Affiliation | Role |
|---|---|---|
| Tom Bourne, MBBS, PhD, MRCOG | Imperial College London | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Imperial College Healthcare NHS Trust | Recruiting | London | W12 0HS | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28660799 | Background | Bobdiwala S, Al-Memar M, Farren J, Bourne T. Factors to consider in pregnancy of unknown location. Womens Health (Lond). 2017 Aug;13(2):27-33. doi: 10.1177/1745505717709677. Epub 2017 Jun 29. | |
| 23290746 | Background | Senapati S, Barnhart KT. Biomarkers for ectopic pregnancy and pregnancy of unknown location. Fertil Steril. 2013 Mar 15;99(4):1107-16. doi: 10.1016/j.fertnstert.2012.11.038. Epub 2013 Jan 3. |
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| ID | Term |
|---|---|
| D011271 | Pregnancy, Ectopic |
| ID | Term |
|---|---|
| D011248 | Pregnancy Complications |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
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Plasma samples Serum samples Urine samples Oral swabs Vaginal swabs Fallopian tube samples Peritoneal washing samples Trophoblast tissue samples
| Management of termination of pregnancy | Other | Surgical termination of pregnancy |
|
| Elective management of gynaecology patients | Other | Elective hysterectomy and salpingo-oophorectomy |
|
| Microbiome as a biomarker | Identification of novel microbiome markers from blood and trophoblast tissue samples associated with ectopic pregnancy and high-risk pregnancy of unknown location. Microbiome will be assessed using Illumina microbiome genomic sequencing. | 3 years |
| 26776599 | Background | Van Calster B, Bobdiwala S, Guha S, Van Hoorde K, Al-Memar M, Harvey R, Farren J, Kirk E, Condous G, Sur S, Stalder C, Timmerman D, Bourne T. Managing pregnancy of unknown location based on initial serum progesterone and serial serum hCG levels: development and validation of a two-step triage protocol. Ultrasound Obstet Gynecol. 2016 Nov;48(5):642-649. doi: 10.1002/uog.15864. Epub 2016 Oct 9. |
| 31385381 | Background | Bobdiwala S, Christodoulou E, Farren J, Mitchell-Jones N, Kyriacou C, Al-Memar M, Ayim F, Chohan B, Kirk E, Abughazza O, Guruwadahyarhalli B, Guha S, Vathanan V, Bottomley C, Gould D, Stalder C, Timmerman D, van Calster B, Bourne T. Triaging women with pregnancy of unknown location using two-step protocol including M6 model: clinical implementation study. Ultrasound Obstet Gynecol. 2020 Jan;55(1):105-114. doi: 10.1002/uog.20420. |
| 30971726 | Background | Cook J, Bennett PR, Kim SH, Teoh TG, Sykes L, Kindinger LM, Garrett A, Binkhamis R, MacIntyre DA, Terzidou V. First Trimester Circulating MicroRNA Biomarkers Predictive of Subsequent Preterm Delivery and Cervical Shortening. Sci Rep. 2019 Apr 10;9(1):5861. doi: 10.1038/s41598-019-42166-1. |