Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT04686357 |
Other study ID # |
PUTH EMMA 1.0 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
August 2021 |
Est. completion date |
September 2023 |
Study information
Verified date |
March 2021 |
Source |
Peking University Third Hospital |
Contact |
Jie Qiao |
Phone |
+86 010-82266699 |
Email |
Jie.quiao[@]263.net |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Although the endometrium has been traditionally considered free of bacteria, recent studies
have documented the presence of an endometrial microbiome. The uterine microbiome can be
defined as Lactobacillus-dominated (<90% Lactobacillus spp.) or non-Lactobacillus-dominated
(<90% Lactobacillus spp. with >10% of other bacteria). The presence of a pathogenic
microbiota in endometrium was associated with significant decrease in implantation,
pregnancy, ongoing pregnancy and live birth rates. Some of these pathogens microorganisms can
also produce infection and inflammation that may lead to chronic endometritis.
Nowadays, the endometrial microbiome can be investigated with the EMMA test and the most
known pathogens related with chronic endometritis can be detected with the ALICE test,both of
them developed by Igenomix group. Our goal in this project is to investigate at what extent,
if any, the analysis of the endometrial factor, at a microbiome level, in patients at their
first IVF cycle improves their clinical outcome.
Description:
Some authors have reported the existence of an endometrial microbiota present in healthy
woman and different from that in the vagina. It is well known that the presence of pathogens
(such as Gardnerella and Streptococcus) in the endometrium is related with infertility,
pregnancy loss, premature rupture of membranes and preterm birth.
Another factor which has an impact on infertility is Chronic Endometritis (CE). It consists
of a persistent inflammation of the endometrial mucosa and its prevalence in infertile
patients has been estimated to be between 2.8 and 39%, although this percentage can reach up
to 50 and 60% in patients with miscarriages and repeated implantation failure, respectively.
The most common cause of CE is bacterial infection, but the traditional methods of diagnosis
(histology, hysteroscopy and microbial culture) often give discordant results between them.
Based on all mentioned above, two molecular tests have been respectively developed by
Igenomix (an international company that provides leading advanced services in reproductive
genetics and infertility) to assess endometrial microbiome: EMMA (Endometrial Microbiome
Metagenomic Analysis) and ALICE (Analysis of Infectious Chronic Endometritis). EMMA test
analyses and quantifies all the bacteria present in the endometrium, showing the main
bacterial genera present in significant amount in an endometrial sample; while ALICE test
quantifies the amount of pathogens more often causing CE (Enterococcus spp.,
Enterobacteriaceae (Escherichia and Klebsiella), Streptococcus spp., Staphylococcus spp.,
Mycoplasma spp., and Ureaplasma spp.), Chlamydia and Neisseria, also in an endometrial
sample.
The current project aims to investigate in a randomized way the potential improvement on the
clinical outcome of Chinese infertile patients at their first IVF cycle considering a
personalized diagnosis and treatment (when applicable) of their endometrial microbiome status
with the EMMA/ALICE. To do that, only the outcomes of the first single embryo transfers
performed after the inclusion of each patient will be considered.
Considering a 30% of possible drop-outs, a total of 1018 patients will be recruited (509
randomized in each group). They will be allocated on a balanced way (assigned by chance like
the flip of a coin) in one of the two arms described below. Reproductive outcomes (defined
following The International Glossary on Infertility and Fertility Care, 2017) will be
compared between the two groups.
Data exported from the source documents will be duly codified and treated in order to protect
the clinical and personal information of participants in accordance with the current local
legislation.
All the statistical analysis performed on the data, as well as the procedures, will be
registered in a detailed Statistical Analysis Plan (SAP) that will be developed during the
study and before starting data analysis.
An interim analysis of this data is planned once 50% of the recruitment has been achieved.
Besides and at that same moment, the study will be overseen by an independent Data Monitoring
Committee.
All of the statistical procedures will be done systematically by both, intention to treat
analysis (ITT) and per protocol analysis (PP). The ITT analysis will include all randomized
patients recruited and assigned to one of the two groups after biopsy collection and before
randomization. The PP analysis will be applied to those patients who adequately follow the
protocol assigned according to their group and in whom the transfer of the good quality
blastocyst is performed.