Intrauterine Microbiota During IVF in Patients Affected With Isthmocele.

NCT ID: NCT03519763

Last Updated: 2020-02-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

3 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-06-13

Study Completion Date

2020-02-24

Brief Summary

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To evaluate the endometrial and isthmic microbiota in patients with isthmocele after C-Section, and if this microbiota is similar or not with better reproductive outcomes.

Detailed Description

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A total of 45 subjects undergoing in vitro fertilization treatment. Fifteen patients without isthmocele will be included in the control group and 30 patients affected with isthmocele in the other group, divided in 2 subgroups: 15 with 1 previous C-Section, and 15 with 2 or more previous C-Section. Paired samples of endometrial fluid (EF) and isthmic fluid (IF) will be obtained simultaneously the day of egg retrieval. Patients will follow a protocol for all-freezing embryos or oocytes.

Conditions

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Endometrial Diseases

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Control group

Fifteen patients without isthmocele

ultrasound

Intervention Type DIAGNOSTIC_TEST

All the patients will have a transvaginal ultrasound evaluation during the first visit to the clinic to evaluate the presence or not of isthmocele.

Study subgroup1

15 patients with 1 previous C-Section

No interventions assigned to this group

Study subgroup2

15 patients with 2 or more previous C-Section.

ultrasound

Intervention Type DIAGNOSTIC_TEST

All the patients will have a transvaginal ultrasound evaluation during the first visit to the clinic to evaluate the presence or not of isthmocele.

Interventions

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ultrasound

All the patients will have a transvaginal ultrasound evaluation during the first visit to the clinic to evaluate the presence or not of isthmocele.

Intervention Type DIAGNOSTIC_TEST

Other Intervention Names

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transvaginal scan, ultrasound

Eligibility Criteria

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Inclusion Criteria

1. Patients with isthmocele:

* Patients performing IVF treatment with a planned cycle segmentation and consecutive frozen embryo transfer on a hormone replacement therapy (HRT) cycle or natural cycle.
* Age between 18 - 45 years all (both inclusive).
* One or multiple C-sections.
* Isthmocele present during TV scan.
* BMI: 18,5 - 35 kg / m2 (both inclusive).
2. Patients without isthmocele:

* Patients performing IVF treatment with planned cycle segmentation and who would have embryo transfer with frozen embryos under hormone replacement therapy.
* NO Isthmocele present during transvaginal ultrasound.
* BMI: 18,5 - 30 kg / m2 (both inclusive).

Exclusion Criteria

* Age \< 18 and \> 45 years old.
* Previous or active endometritis.
* Patients who are IUD carriers for the last 3 months.
* Patients who have taken prescribed antibiotics in the last 3 months previous to sample collection.
Minimum Eligible Age

18 Years

Maximum Eligible Age

45 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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ART Fertility Clinics LLC

OTHER

Sponsor Role lead

Responsible Party

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Prof Dr. Human Fatemi

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Human Fatemi, MD

Role: PRINCIPAL_INVESTIGATOR

Medical Director

Locations

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IVI Middle East Fertilty Clinic

Abu Dhabi, , United Arab Emirates

Site Status

Countries

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United Arab Emirates

References

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Sirota I, Zarek SM, Segars JH. Potential influence of the microbiome on infertility and assisted reproductive technology. Semin Reprod Med. 2014 Jan;32(1):35-42. doi: 10.1055/s-0033-1361821. Epub 2014 Jan 3.

Reference Type BACKGROUND
PMID: 24390919 (View on PubMed)

Ravel J, Gajer P, Abdo Z, Schneider GM, Koenig SS, McCulle SL, Karlebach S, Gorle R, Russell J, Tacket CO, Brotman RM, Davis CC, Ault K, Peralta L, Forney LJ. Vaginal microbiome of reproductive-age women. Proc Natl Acad Sci U S A. 2011 Mar 15;108 Suppl 1(Suppl 1):4680-7. doi: 10.1073/pnas.1002611107. Epub 2010 Jun 3.

Reference Type BACKGROUND
PMID: 20534435 (View on PubMed)

Romero R, Hassan SS, Gajer P, Tarca AL, Fadrosh DW, Bieda J, Chaemsaithong P, Miranda J, Chaiworapongsa T, Ravel J. The vaginal microbiota of pregnant women who subsequently have spontaneous preterm labor and delivery and those with a normal delivery at term. Microbiome. 2014 May 27;2:18. doi: 10.1186/2049-2618-2-18. eCollection 2014.

Reference Type BACKGROUND
PMID: 24987521 (View on PubMed)

Moreno I, Codoner FM, Vilella F, Valbuena D, Martinez-Blanch JF, Jimenez-Almazan J, Alonso R, Alama P, Remohi J, Pellicer A, Ramon D, Simon C. Evidence that the endometrial microbiota has an effect on implantation success or failure. Am J Obstet Gynecol. 2016 Dec;215(6):684-703. doi: 10.1016/j.ajog.2016.09.075. Epub 2016 Oct 4.

Reference Type BACKGROUND
PMID: 27717732 (View on PubMed)

Tower AM, Frishman GN. Cesarean scar defects: an underrecognized cause of abnormal uterine bleeding and other gynecologic complications. J Minim Invasive Gynecol. 2013 Sep-Oct;20(5):562-72. doi: 10.1016/j.jmig.2013.03.008. Epub 2013 May 14.

Reference Type BACKGROUND
PMID: 23680518 (View on PubMed)

Vikhareva Osser O, Valentin L. Risk factors for incomplete healing of the uterine incision after caesarean section. BJOG. 2010 Aug;117(9):1119-26. doi: 10.1111/j.1471-0528.2010.02631.x.

Reference Type BACKGROUND
PMID: 20604776 (View on PubMed)

Sim K, Cox MJ, Wopereis H, Martin R, Knol J, Li MS, Cookson WO, Moffatt MF, Kroll JS. Improved detection of bifidobacteria with optimised 16S rRNA-gene based pyrosequencing. PLoS One. 2012;7(3):e32543. doi: 10.1371/journal.pone.0032543. Epub 2012 Mar 28.

Reference Type BACKGROUND
PMID: 22470420 (View on PubMed)

Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Turnbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010 May;7(5):335-6. doi: 10.1038/nmeth.f.303. Epub 2010 Apr 11. No abstract available.

Reference Type BACKGROUND
PMID: 20383131 (View on PubMed)

Other Identifiers

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1707-ABU-065-HF

Identifier Type: -

Identifier Source: org_study_id

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