Leiden University Scholarly Publications

Persistent URL of this record https://hdl.handle.net/1887/3643184

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Youssef, A. (2023)

Identify, appraise and individualize: clinical practice and prediction models in recurrent pregnancy loss

Doctoral Thesis
This thesis has shed light on RPL practice and the management of RPL couples in need of counselling towards future pregnancies. Both clinical practice research and prediction research indicate that there is room for improvements in RPL practice and RPL counselling. We studied quality of care by diving into clinical practice variation and quality of counselling by diving into prediction research.
In the absence of effective treatment options that increase live birth rates in RPL couples, counselling towards future pregnancies plays a key role and enables couples to make an informed decision regarding further pregnancy attempts. This will still be present when future treatment options are investigated or discovered, as these models could then evaluate the effects of these treatments on performance of the model. It is therefore of utmost importance that prediction models are well developed and validated for use in clinical practice.
In an era of technological advancement...Show moreThis thesis has shed light on RPL practice and the management of RPL couples in need of counselling towards future pregnancies. Both clinical practice research and prediction research indicate that there is room for improvements in RPL practice and RPL counselling. We studied quality of care by diving into clinical practice variation and quality of counselling by diving into prediction research.
In the absence of effective treatment options that increase live birth rates in RPL couples, counselling towards future pregnancies plays a key role and enables couples to make an informed decision regarding further pregnancy attempts. This will still be present when future treatment options are investigated or discovered, as these models could then evaluate the effects of these treatments on performance of the model. It is therefore of utmost importance that prediction models are well developed and validated for use in clinical practice.
In an era of technological advancement bringing societies, researchers and clinicians from all over the world more closely together, it is time to step up and work together, to unify RPL care and to create collaborations that hugely impact RPL research which can lead to high impact publications that can unravel the mysteries of RPL.
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Recurrent pregnancy loss
Prediction models
Clinical guidelines
Prognosis
External validation
All authors
Youssef, A.
Supervisor
Lith, J.M.M. van
Co-supervisor
Hoorn, M.L.P. van der; Lashley, E.E.LO.
Qualification
Doctor (dr.)
Awarding Institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University
Date
2023-10-10
ISBN (print)
9789464833973

Funding

Sponsorship
Stichting Oranjekliniek; Department of Obstetrics and Gynaecology of the Leiden University Medical Centre; Moeders voor Moeders; Canon Medical Systems; Ferring B.V.; Goodlife Pharma; Bridea Medical and ChipSoft