Abstract:
INTRODUCTION : Preterm birth complications are the most
common cause of death in children under 5 years.
The presence of multiple microorganisms and genital
tract inflammation could be the common mechanism
driving early onset of labour. South Africa has high
levels of preterm birth, genital tract infections and HIV
infection among pregnant women. We plan to investigate
associations between the presence of multiple lower
genital tract microorganisms in pregnancy and gestational
age at birth.
METHODS AND ANALYSIS : This cohort study enrols around
600 pregnant women at one public healthcare facility in
East London, South Africa. Eligible women are ≥18 years
and at <27 weeks of gestation, confirmed by ultrasound.
At enrolment and 30–34 weeks of pregnancy, participants
receive on-site
tests for Chlamydia trachomatis and
Neisseria gonorrhoeae, with treatment if test results are
positive. At these visits, additional vaginal specimens
are taken for: PCR detection and quantification of
Trichomonas vaginalis, Candida spp., Mycoplasma
genitalium, M. hominis, Ureaplasma urealyticum and U.
parvum; microscopy and Nugent scoring; and for 16S
ribosomal RNA gene sequencing and quantification.
Pregnancy outcomes are collected from a postnatal visit
and birth registers. The primary outcome is gestational
age at birth. Statistical analyses will explore associations
between specific microorganisms and gestational age
at birth. To explore the association with the quantity
of microorganisms, we will construct an index of
microorganism load and use mixed-effects
regression
models and classification and regression tree analysis to
examine which combinations of microorganisms contribute
to earlier gestational age at birth.
ETHICS AND DISSEMINATION : This protocol has approvals
from the University of Cape Town Research Ethics
Committee and the Canton of Bern Ethics Committee.
Results from this study will be uploaded to preprint
servers, submitted to open access peer-reviewed
journals and presented at regional and international
conferences.
TRIAL REGISTRATION NUMBER : NCT06131749; Pre-results.
Description:
DATA STATEMENT : The research team will prepare datasets used in analyses,
in accordance with data sharing requirements of open
access journals in which manuscripts are published and in
compliance with local Protection of Personal Information
Act requirements. These data files will be archived with
codebooks as .csv documents or R datasets and stored in
REDCap. The final data files will not contain any personal
identifying information of participants.