APP1135277_Rice_Grant Proposal
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GRANT PROPOSAL – 2016 Centres of Research Application ID: 1135277<br />
Excellence funding commencing 2017 CIA Surname: <strong>Rice</strong><br />
implemented within routine pathology. The data obtained will inform and facilitate the development<br />
and clinical uptake early pregnancy screening and triage to treatment.<br />
Program 3 formalises an In Vitro Diagnostic medical device development core that is NATA<br />
accredited for ISO17025, complies with ISO13485. During the life of the CRE, application will<br />
also be made for accreditation for ISO15198 (Medical Testing). As such, this Program will be the<br />
only such accredited facility in Australia. It will provide a unique clinical research, development<br />
and training environment for scientific and clinical practitioners and an enabling capacity for<br />
leadership development.<br />
PROGRAM 4: Triage to High-risk Management<br />
First trimester screening algorithms for PE, IUGR and GDM have already been developed. There<br />
are a number of processes that need to be completed before these tools for individualised precision<br />
medicine can be robustly applied to population based screening. First, continued algorithmic<br />
development with inclusion of other biomarkers (Program 2) will improve screening efficacy<br />
(sensitivity, specificity and predictive values) and facilitate development of algorithms for preterm<br />
birth. Second, these algorithms need validation in separate populations to demonstrate applicability<br />
and consistency in performance. Third, the impact of preventative interventions applied based on<br />
the findings of first trimester screening (and therefore the value of prediction and prevention) needs<br />
to be demonstrated. These processes can potentially be completed simultaneously in multicentre<br />
randomised controlled trials that enrol patients prior to screening, randomising them to an<br />
intervention on the basis of the initial predictive test result.<br />
Research Questions:<br />
• Can the performance of current first trimester screening algorithms be reproduced in<br />
multiple centres with different population groups?<br />
• Can screening efficacy be improved by inclusion of other exosome or genome derived<br />
biomarkers?<br />
• Are preventative interventions (aspirin for PE and IUGR; metformin for late PE; diet and<br />
lifestyle advice / metformin / probiotics for GDM; progesterone / cerclage for preterm<br />
labour) effective in reducing disease prevalence for women defined as being at high risk of<br />
an adverse pregnancy outcome?<br />
Study Rationale: There is a clear need to collect more evidence-based data to define the clinical<br />
utility of first trimester risk assignment algorithms and to examine the impact of preventative<br />
therapeutic interventions. We have already developed multivariate algorithms to classify risk for<br />
subsequent development of PE, IUGR and GDM. The tests can variously be criticised for poor<br />
sensitivity (IUGR, late onset PE) and/or positive predictive value (early onset PE) and may be<br />
improved by including exosomal biomarkers or genomic markers. Novel algorithms, based on<br />
inclusion of these factors, can be compared to our current standards by comparing test performance<br />
through calculation of screening efficacy (sensitivity and specificity and positive and negative<br />
predictive values) and receiver operator characteristic curve analysis. Screening and identification<br />
of risk is only of value if preventative strategies are available that improve health outcomes. A<br />
number of interventions that prevent PE/ IUGR, GDM and spontaneous preterm birth have been<br />
proposed. Application is typically impacted by poor prediction of a high-risk group. The combined<br />
prediction and prevention strategy therefore needs assessing through a multicentre randomised<br />
controlled study.<br />
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