Improving screening during pregnancy
Submitting Institution
Plymouth UniversityUnit of Assessment
Clinical MedicineSummary Impact Type
HealthResearch Subject Area(s)
Medical and Health Sciences: Cardiorespiratory Medicine and Haematology, Paediatrics and Reproductive Medicine
Summary of the impact
Research on risk assessment and screening led by Wright at Plymouth
University and including clinical participants from the Centre for Fetal
Medicine at King's College Hospital and Tübingen University, has improved
fetal and maternal healthcare. This research and work supporting the Fetal
Anomaly Screening Program (FASP) has contributed to reductions in the
number of unnecessary invasive diagnosis procedures in the UK, and has
improved screening performance through the implementation of the
NHS-endorsed Down's syndrome screening Quality Assurance Support Service
(DQASS). The research has also contributed to the risk algorithms of the
Fetal Medicine Foundation (FMF) which are used by the NHS and national and
international companies that provide technologies for the clinical
management of pregnancies by identifying high-risk groups for chromosomal
abnormalities and preeclampsia.
Underpinning research
Statistical research conducted by Wright (Professor of Applied Statistics
at Plymouth University, 2006-present) with Amy Baker (Senior Research
Fellow) and in association with clinical researchers established more
realistic models for risk assessment of fetal anomalies and of
preeclampsia. It also considered the way measurement errors of various
components in risk assessment impacted on performance risk assessment and
screening. This research raised the importance of quality assurance in
laboratory and ultrasound measurements.
The body of research began in 2005 with an investigation into
non-invasive screening for Trisomy 21 (T21), a form of Down's syndrome
(DS), demonstrating that false positive rates are influenced by the extent
to which factors such as smoking status are taken into account in the
calculation of risk pre-diagnosis (1). Building on this earlier research,
Wright et al. worked on understanding the effect of ubiquitously used
Nuchal Translucency (NT) median values in relation to the performance of
screening for T21. The research found that high quality screening is
dependent on accurate measurement of NT for which there was wide regional
variation (2), while further work in 2012 on the under/over estimation of
Crown Rump Length in first trimester combined screening concluded that
individual sonographer variability must be taken into account when
calculating patient specific risk of chromosomal fetal abnormality (3).
Alongside this work, Wright introduced a mixture model for the
distribution of NT in chromosomally normal and abnormal pregnancies. The
model uniquely accounted for the fact that a minority subgroup of
chromosomally abnormal pregnancies can present in the same way as the
majority of chromosomally normal pregnancies. The mixture model was found
to be compatible with clinical findings of the pathophysiology of
increased NT in both chromosomally normal and abnormal fetuses, providing
a more realistic method of assessing the risk of fetal abnormalities
relative to other non-invasive screening models (4). Wright et al.
validated the model in 2009, demonstrating that the new risk algorithm for
T21 could achieve a 90% detection rate (for a 3% false-positive rate) when
NT is used in combination with maternal age and the biochemical markers
PAPP-A and free 03b2-hCG (5). This combination of markers is now
widely used as standard practice.
More recently Wright developed a competing risk survival model (3) that
estimated the time of delivery (birth) in cases of maternal preeclampsia
(PE). The work reflected some of the underlying principles and assumptions
about existing risk models as demonstrated in his NT research. Based on a
study of 1,426 PE pregnancies and 57,458 normal pregnancies, Wright
combined maternal characteristics with data collected at 11-13 weeks
gestation, namely uterine artery pulsatility index and mean arterial
pressure. The research showed that treating the time of delivery with PE
as a `continuous variable', statistically dependent on characteristics
such as maternal weight, ethnic origin and medical history, provided a
more efficient and effective way of assessing risks during early
pregnancy. Using the gestation at the time of delivery with PE meant that
the model could capture the severity of the condition on a continuum
rather than arbitrarily grouping into early and late PE (which were
formerly considered separate conditions with separate outcomes). This
model for effective first-trimester screening for PE has recently been
extended to include biochemical markers (6) and is undergoing validation
for adoption.
References to the research
1.Nix, B., Wright*, D., Baker,* A. (2007) The impact of bias in MoM
values on patient risk and screening performance for Down syndrome.
Prenat Diagn; 27: 840-845. Prenatal Diagnosis communicates
peer-reviewed research in prenatal and pre-implantation diagnosis. The
journal ranks 22nd of 78 in the ISI Journal Citation Reports Ranking
(Obstetrics and Gyneacology, 2011), while its impact factor is 2.106.
2. Kagan, K.O., Wright*, D., Etchegaray, A., Zhou, Y., Nicolaides, K.H.
(2009) Effect of deviation of nuchal translucency measurements on the
performance of screening for trisomy 21. Ultrasound Obstet Gynecol; 33:
657-664. Ultrasound in Obstetrics & Gynecology is an
international, peer-reviewed journal including original papers, case
reports, reviews, opinion articles, and letters. The journal ranks 11th of
78 in the ISI Journal Citation Reports Ranking (Obstetrics and
Gynaecology, 2011), while its impact factor is 3.007.
3. Kagan, K.O, Hoopmann, N., Baker,* A., Huebner, M., Abele, H., Wright*,
D. (2012) Impact of bias in crown-rump length measurement at
first-trimester screening for trisomy 21. Ultrasound Obstet Gynecol; 40:
135-9. Ultrasound in Obstetrics & Gynecology is an
international, peer-reviewed journal including original papers, case
reports, reviews, opinion articles, and letters. The journal ranks 11th of
78 in the ISI Journal Citation Reports Ranking (Obstetrics and
Gynaecology, 2011), while its impact factor is 3.007.
4. Wright*, D, Kagan KO, Molina FS, Gazzoni A, Nicolaides KH. (2008) A
mixture model of nuchal translucency thickness in screening for
chromosomal defects. Ultrasound Obstet Gynecol. 31(4):376-83. Ultrasound
in Obstetrics & Gynecology is an international, peer-reviewed
journal including original papers, case reports, reviews, opinion
articles, and letters. The journal ranks 11th of 78 in the ISI Journal
Citation Reports Ranking (Obstetrics and Gynaecology, 2011), while its
impact factor is 3.007.
5. Kagan KO, Etchegaray A, Zhou Y, Wright,* D, Nicolaides KH. (2010)
Prospective validation of first-trimester combined screening for trisomy
21. Ultrasound Obstet Gynecol. 34(1):14-8. Ultrasound in
Obstetrics & Gynecology is an international, peer-reviewed
journal including original papers, case reports, reviews, opinion
articles, and letters. The journal ranks 11th of 78 in the ISI Journal
Citation Reports Ranking (Obstetrics and Gynaecology, 2011), while its
impact factor is 3.007.
6. Akolekar
R, Syngelaki A, Poon L, Wright,* D, Nicolaides KH. (2013) Competing
risks model in early screening for preeclampsia by biophysical and
biochemical markers. Fetal
Diagn Ther. 33(1):8-15. Fetal Diagnosis and Therapy
presents original, peer reviewed, papers covering both basic research and
clinical investigations into all aspects of fetal diagnosis leading to
therapy, including relevant technical advances and procedures. The journal
ranks 61st of 78 in the ISI Journal Citation Reports Ranking (Obstetrics
and Gynaecology, 2011), while its impact factor is Impact factor: 1.05.
*Current Plymouth University staff. Other institutional affiliations at
time of publication as follows:
Kings College Hospital: Akoleka, Ethchegarary, Gazzoni, Kagan, Nicolaides,
Poon, Syngelaki, Zhou, Molina (also Tübingen University).
Tübingen University: Abele, Hoopmann, Huebner.
Cardiff University: Nix.
Details of the impact
Wright's research on screening for fetal anomalies and health conditions
during pregnancy has improved international healthcare provision. In 2004
Wright was commissioned by UK (NHS) Fetal Anomaly Screening Programme to
develop-implement a quality assurance tool for DS screening in the UK,
based on his NT and combined test research. As a result Wright formed, and
currently leads, DQASS. DQASS provides support for screening laboratories
and sonographers in all UK NHS hospitals, which are now required to submit
screening information and data to the Service according to its national
schedule. The analysis of this data focuses on identifying NT measurements
that are greater than expected (red flags - implying unacceptable bias in
sonographer performance), prompting the implementation of an action plan
aimed at improving sonographer performance: as recommended by FASP/DQASS,
practitioners are required to complete 25 supervised NT measurements in
addition to three accurate paired NT and CRL measurements against the set
UK standards. Upon successful completion of these tasks, the sonographer
is permitted to return to independent practice.
Through DQASS, Wright's research has contributed to the improvement in
the efficacy of fetal anomaly screening in the UK NHS by enhancing the
quality of laboratory and sonographer practice, which has in turn
contributed towards a reduction in the number of women proceeding to
invasive testing where there is risk of fetal loss. Working with Wright,
the FASP established eight regional ultrasound coordinators tasked with
coordinating the recommended quality improvements and some 200 screening
support sonographers at hospitals throughout the UK to disseminate
information (specifically red flags) provided by DQASS. A series of
regional workshops were also held between 2006 and 2010 on standardising
and modernising practice, engaging over 2,000 sonographers and healthcare
workers in obstetrics and gynaecology, representing 30 NHS laboratories.
As a result, UK DS screening performance has significantly improved. In
2003, 36,968 invasive tests for suspected fetal anomaly were carried out
in the UK, whereas in 2009 only 13,595 were performed. This represents a
reduction of 63% in the previous over-investigation of chromosomal
abnormality, translating to 233 miscarriages avoided (based on a 1:100
invasive-test-linked miscarriage rate) (source: ACC, 2013). As stated in a
joint letter from Annette McHugh, Programme Manager for FASP, and Val
Armstrong, Deputy QA Lead (National), "Both the improvement in the
performance of the [Down's Syndrome screening] test and the development of
new strategies has been supported by the work undertaken by [Wright],
contributing to the decreasing requirement for women to undergo
unnecessary invasive testing.
Wrights work with DQASS has also influenced screening programmes in other
countries. In Ontario, Canada, for example, it has been recognised that
accurate NT measurement is fundamental in DS screening, as the Director of
its national quality assurance agency, BORN, states: "I am submitting a
letter of thanks to Prof. Dave Wright and the DQASS team for their support
in our efforts to implement a quality assurance programme for NT
ultrasound in Ontario, he has provided technical and statistical support,
advice and credibility [to the Ontario QA programme]... the partnership
with Wright and DQASS has been invaluable in this project... we can only
hope to achieve the same results Wright has enabled across the UK".
Wright's research has also improved screening in private sector
healthcare worldwide: the FMF is a global charity aiming to improve the
health of pregnant women through research and training to support
professional groups and certified obstetricians. Historically, the FMF
supplied these groups with NT risk algorithms for a range of anomalies
using the Delta method, based on a singular distribution of NT
measurements. Recognising Wright's more accurate use of NT in trisomy risk
calculations, the FMF replaced Delta with the mixture model in 2008. Since
its introduction to the FMF, the mixture model has been commercially
applied by major equipment/software companies operating in Europe and
Asia: GE Healthcare uses the model in its nine ultrasound machines, which
have been distributed to healthcare providers across the world while
Astraia Obstetrics use the model in its first trimester anomaly risk
calculator. Thermo Fisher Scientific Inc., one of the largest scientific
instruments companies in the world, use the mixture model on screening for
preeclampsia and state "the work of Dave Wright has had a major impact on
the methodology and quality improvements of screening for fetal anomalies
and preeclampsia. The mixture model for NT is used throughout the world by
our customers". They also state that "the research of Dave Wright has been
instrumental in the introduction of our assay for PIGF (Placental Growth
Factor) in screening for preeclampsia using the competing risk model".
Thermo Fisher has recently (2013) bought an asset purchase agreement
including a patent license for the exclusive rights of PIGF to diagnose
preeclampsia.
Sources to corroborate the impact
DQASS:
Joint written statement from Programme Manager and Deputy QA Lead
(National), UK National Screening Committee, Fetal Anomaly Screening
Programme, 344-354 Gray's Inn Road, London WC1X 8BP, tel +44 (0)207
1642100
List of DQASS resources on the NHS website explain the role of DQASS and
how the NHS works with Plymouth University: http://fetalanomaly.screening.nhs.uk/qualityassurance
Written statement from Director, BORN, Ontario, 401 Smyth Road |Ottawa,
ON, K1H 8L1. A statement confirming the impact the research of Wright has
had on the introduction of quality assurance programme for NT ultrasound
in Ontario screening programme.
FMF and private sector healthcare providers:
Written statement from Director R+D, ThermoFisher Scientific. A statement
highlighting the major impact Wright's research has had on screening for
fetal anomalies and preeclampsia and that it is used by ThemoFisher
Scientific throughout the world.