Pre-EclampsiaNCT03554681
Prediction of Preeclampsia (PE) at 11-13 Week
An observational study of Pre-Eclampsia, run by Chiu Yee Liona Poon at 14 sites in 7 countries.
Trial summary
This is an international multicentre prospective cohort study to validate the Bayes theorem based algorithms for the screening of pre-eclampsia (PE) in the first-trimester of pregnancy. Read more about this study
- Who is it for?
- Ages 18 years and older, women only
- Conditions the study is for
- Pre-Eclampsia
- How many people
- 10,935 participants
- Where
- 14 sitesin 7 countries
- Study dates
- Dec 2016to Sep 2019
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- Women only
- No healthy volunteers
- Adult, Older adult
Study population: All eligible women attending for their hospital visit at 11-13 weeks will be invited to participate.
Who may be able to join
- Aged ≥ 18 years
- Singleton pregnancy
- Live fetus
- Provide Informed and written consent in the official language of the country
Who cannot join
- Unable to provide written Informed consent learning difficulties or serious mental illness or an inability to understand spoken and written the official language of the country.
- Multiple Pregnancy
- Non-viable fetus (missed spontaneous abortion or stillbirth)
Trial locations and contacts
14 sites in 7 countries.
14 sites in 7 countries
Japan4 sites
Clinical Research Institute of Fetal Medicine PMC
Osaka
Affiliated hospitals within The Japan Society for the Study of Hypertension in Pregnancy (JSSHP)
Tokyo
Showa University Hospital
Tokyo
Toyama University Hospital
Toyama, Toyama
China2 sites
First Affiliated Hospital of Kunming Medical University
Kunming
Nanjing Drum Tower Hospital
Nanjing
Hong Kong2 sites
Kwong Wah Hospital
Hong Kong
Prince of Wales Hospital
Hong Kong
Singapore2 sites
KK Women's and Children's Hospital
Singapore
National University Hospital
Singapore
Thailand2 sites
Chulalongkorn University Bangkok
Bangkok
Siriraj Hospital
Bangkok
About this study
Official title: Prospective Validation of Prediction Algorithms for Preeclampsia in the First-trimester of Pregnancy
This is an international multicentre prospective cohort study to validate the Bayes theorem based algorithms for the screening of pre-eclampsia (PE) in the first-trimester of pregnancy.
Read the detailed description
The investigators have previously constructed Bayes model in the first-trimester which combines maternal characteristics and medical history (Mat-CH) together with mean arterial pressure (MAP), uterine artery pulsatility index (PI), and serum placental growth factor (PlGF) with a plan to assess the predictive performance.
The reference standards will be PE defined according to the International Society for the Study of Hypertension in Pregnancy and the American College of Obstetricians and Gynecologists. The systolic blood pressure should be >140 mm Hg and/or the diastolic blood pressure should be >90 mmHg on at least two occasions four hours apart developing after 20 weeks' gestation in previously normotensive women and there should be proteinuria (>300 mg in 24 hours or two readings of at >2+ on dipstick analysis of midstream or catheter urine specimens if no 24-hour collection is available). In the absence of proteinuria, new onset of any of the following systemic findings: a) thrombocytopaenia (platelet counts <100,000 µL); b) renal insufficiency (creatinine >1.1 mg/dL or 2-fold increase in creatinine in the absence of underlying renal disease); c) abnormal liver function (ie, hepatic transaminase levels twice normal); d) pulmonary oedema; or e) cerebral or visual symptoms. Preterm-PE is PE that requires delivery before 37 weeks' gestation. If a participant fulfills the criteria for PE by one definition and not the other she will be considered to have developed PE.
- Conditions
- Pre-Eclampsia
- Keywords
- Bayes Model
- Medical subject headings
- Pre-Eclampsia
What is being measured
The primary outcome is the main question the study is designed to answer.
The false positive and true positive frequencies for screening for PE using the Bayes theorem based methods
Measured: At delivery
Secondary outcomes (1)
The false positive and true positive frequencies for screening of delivery of all-Small for Gestational Age (SGA) neonates and preterm-SGA neonates (delivery before 37 weeks), with or without PE
Measured: At delivery
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Jun 2018
- Study startDec 2016
- Primary completionDec 2018
- Study completionSep 2019
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (15)Papers the sponsor has linked to this study.
- Other trials for Pre-EclampsiaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 10,935 participants (actual)
Sponsor and investigators
- Lead sponsor
- Chiu Yee Liona Poon
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Chiu Yee Liona Poon, Chinese University of Hong Kong
- Investigators
- Liona CY Poon, Principal investigator, Chinese University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03554681
- Sponsor's protocol ID
- 2016.152
- Status last verified
- Dec 2019
- First submitted
- 9 May 2018
- Last updated
- 2 Jan 2020
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
National Collaborating Centre for Women's and Children's Health (UK). Hypertension in Pregnancy: The Management of Hypertensive Disorders During Pregnancy. London: RCOG Press; 2010 Aug. Available from http://www.ncbi.nlm.nih.gov/books/NBK62652/
PubMed 22220321Askie LM, Duley L, Henderson-Smart DJ, Stewart LA; PARIS Collaborative Group. Antiplatelet agents for prevention of pre-eclampsia: a meta-analysis of individual patient data. Lancet. 2007 May 26;369(9575):1791-1798. doi: 10.1016/S0140-6736(07)60712-0.
PubMed 17512048Bujold E, Roberge S, Lacasse Y, Bureau M, Audibert F, Marcoux S, Forest JC, Giguere Y. Prevention of preeclampsia and intrauterine growth restriction with aspirin started in early pregnancy: a meta-analysis. Obstet Gynecol. 2010 Aug;116(2 Pt 1):402-414. doi: 10.1097/AOG.0b013e3181e9322a.
PubMed 20664402Roberge S, Villa P, Nicolaides K, Giguere Y, Vainio M, Bakthi A, Ebrashy A, Bujold E. Early administration of low-dose aspirin for the prevention of preterm and term preeclampsia: a systematic review and meta-analysis. Fetal Diagn Ther. 2012;31(3):141-6. doi: 10.1159/000336662. Epub 2012 Mar 21.
PubMed 22441437Roberge S, Giguere Y, Villa P, Nicolaides K, Vainio M, Forest JC, von Dadelszen P, Vaiman D, Tapp S, Bujold E. Early administration of low-dose aspirin for the prevention of severe and mild preeclampsia: a systematic review and meta-analysis. Am J Perinatol. 2012 Aug;29(7):551-6. doi: 10.1055/s-0032-1310527. Epub 2012 Apr 11.
PubMed 22495898Wright D, Syngelaki A, Akolekar R, Poon LC, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal characteristics and medical history. Am J Obstet Gynecol. 2015 Jul;213(1):62.e1-62.e10. doi: 10.1016/j.ajog.2015.02.018. Epub 2015 Feb 25.
PubMed 25724400O'Gorman N, Wright D, Syngelaki A, Akolekar R, Wright A, Poon LC, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 11-13 weeks gestation. Am J Obstet Gynecol. 2016 Jan;214(1):103.e1-103.e12. doi: 10.1016/j.ajog.2015.08.034. Epub 2015 Aug 19.
PubMed 26297382Gallo DM, Wright D, Casanova C, Campanero M, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 19-24 weeks' gestation. Am J Obstet Gynecol. 2016 May;214(5):619.e1-619.e17. doi: 10.1016/j.ajog.2015.11.016. Epub 2015 Nov 25.
PubMed 26627730Tsiakkas A, Saiid Y, Wright A, Wright D, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 30-34 weeks' gestation. Am J Obstet Gynecol. 2016 Jul;215(1):87.e1-87.e17. doi: 10.1016/j.ajog.2016.02.016. Epub 2016 Feb 12.
PubMed 26875953Andrietti S, Silva M, Wright A, Wright D, Nicolaides KH. Competing-risks model in screening for pre-eclampsia by maternal factors and biomarkers at 35-37 weeks' gestation. Ultrasound Obstet Gynecol. 2016 Jul;48(1):72-9. doi: 10.1002/uog.15812. Epub 2016 May 30.
PubMed 26566592Brown MA, Lindheimer MD, de Swiet M, Van Assche A, Moutquin JM. The classification and diagnosis of the hypertensive disorders of pregnancy: statement from the International Society for the Study of Hypertension in Pregnancy (ISSHP). Hypertens Pregnancy. 2001;20(1):IX-XIV. doi: 10.1081/PRG-100104165. No abstract available.
PubMed 12044323Hypertension in pregnancy. Report of the American College of Obstetricians and Gynecologists' Task Force on Hypertension in Pregnancy. Obstet Gynecol. 2013 Nov;122(5):1122-1131. doi: 10.1097/01.AOG.0000437382.03963.88. No abstract available.
PubMed 24150027Snijders RJ, Nicolaides KH. Fetal biometry at 14-40 weeks' gestation. Ultrasound Obstet Gynecol. 1994 Jan 1;4(1):34-48. doi: 10.1046/j.1469-0705.1994.04010034.x.
PubMed 12797224Acharya G, Wilsgaard T, Berntsen GK, Maltau JM, Kiserud T. Reference ranges for serial measurements of umbilical artery Doppler indices in the second half of pregnancy. Am J Obstet Gynecol. 2005 Mar;192(3):937-44. doi: 10.1016/j.ajog.2004.09.019.
PubMed 15746695Vyas S, Campbell S, Bower S, Nicolaides KH. Maternal abdominal pressure alters fetal cerebral blood flow. Br J Obstet Gynaecol. 1990 Aug;97(8):740-2. doi: 10.1111/j.1471-0528.1990.tb16250.x. No abstract available.
PubMed 2205291
Study at a glance
From the registry record, last updated by the sponsor on 2 Jan 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Prospective Validation of Prediction Algorithms for Preeclampsia in the First-trimester of Pregnancy
- ClinicalTrials.gov ID
- NCT03554681
- Acronym / sponsor ID
- 2016.152
- Conditions
- Pre-Eclampsia
- Keywords
- Bayes Model
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 10,935 participants (actual)
- Lead sponsor
- Chiu Yee Liona PoonUniversity, hospital or other
- Study start
- Dec 2016 (actual)
- Primary completion
- Dec 2018 (actual)
- Study completion
- Sep 2019 (actual)
- First posted
- 13 Jun 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This is an international multicentre prospective cohort study to validate the Bayes theorem based algorithms for the screening of pre-eclampsia (PE) in the first-trimester of pregnancy.
Detailed description
The investigators have previously constructed Bayes model in the first-trimester which combines maternal characteristics and medical history (Mat-CH) together with mean arterial pressure (MAP), uterine artery pulsatility index (PI), and serum placental growth factor (PlGF) with a plan to assess the predictive performance.
The reference standards will be PE defined according to the International Society for the Study of Hypertension in Pregnancy and the American College of Obstetricians and Gynecologists. The systolic blood pressure should be >140 mm Hg and/or the diastolic blood pressure should be >90 mmHg on at least two occasions four hours apart developing after 20 weeks' gestation in previously normotensive women and there should be proteinuria (>300 mg in 24 hours or two readings of at >2+ on dipstick analysis of midstream or catheter urine specimens if no 24-hour collection is available). In the absence of proteinuria, new onset of any of the following systemic findings: a) thrombocytopaenia (platelet counts <100,000 µL); b) renal insufficiency (creatinine >1.1 mg/dL or 2-fold increase in creatinine in the absence of underlying renal disease); c) abnormal liver function (ie, hepatic transaminase levels twice normal); d) pulmonary oedema; or e) cerebral or visual symptoms. Preterm-PE is PE that requires delivery before 37 weeks' gestation. If a participant fulfills the criteria for PE by one definition and not the other she will be considered to have developed PE.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- Female only
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- All eligible women attending for their hospital visit at 11-13 weeks will be invited to participate.
Key inclusion criteria (4 listed)
- Aged ≥ 18 years
- Singleton pregnancy
- Live fetus
- Provide Informed and written consent in the official language of the country
Key exclusion criteria (3 listed)
- Unable to provide written Informed consent learning difficulties or serious mental illness or an inability to understand spoken and written the official language of the country.
- Multiple Pregnancy
- Non-viable fetus (missed spontaneous abortion or stillbirth)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
The false positive and true positive frequencies for screening for PE using the Bayes theorem based methods
Time frame: At delivery
1 secondary outcome
The false positive and true positive frequencies for screening of delivery of all-Small for Gestational Age (SGA) neonates and preterm-SGA neonates (delivery before 37 weeks), with or without PE
Time frame: At delivery
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Jan 2020.
- Background: PubMed 22220321National Collaborating Centre for Women's and Children's Health (UK). Hypertension in Pregnancy: The Management of Hypertensive Disorders During Pregnancy. London: RCOG Press; 2010 Aug. Available from http://www.ncbi.nlm.nih.gov/books/NBK62652/
- Background: PubMed 17512048Askie LM, Duley L, Henderson-Smart DJ, Stewart LA; PARIS Collaborative Group. Antiplatelet agents for prevention of pre-eclampsia: a meta-analysis of individual patient data. Lancet. 2007 May 26;369(9575):1791-1798. doi: 10.1016/S0140-6736(07)60712-0.
- Background: PubMed 20664402Bujold E, Roberge S, Lacasse Y, Bureau M, Audibert F, Marcoux S, Forest JC, Giguere Y. Prevention of preeclampsia and intrauterine growth restriction with aspirin started in early pregnancy: a meta-analysis. Obstet Gynecol. 2010 Aug;116(2 Pt 1):402-414. doi: 10.1097/AOG.0b013e3181e9322a.
- Background: PubMed 22441437Roberge S, Villa P, Nicolaides K, Giguere Y, Vainio M, Bakthi A, Ebrashy A, Bujold E. Early administration of low-dose aspirin for the prevention of preterm and term preeclampsia: a systematic review and meta-analysis. Fetal Diagn Ther. 2012;31(3):141-6. doi: 10.1159/000336662. Epub 2012 Mar 21.
- Background: PubMed 22495898Roberge S, Giguere Y, Villa P, Nicolaides K, Vainio M, Forest JC, von Dadelszen P, Vaiman D, Tapp S, Bujold E. Early administration of low-dose aspirin for the prevention of severe and mild preeclampsia: a systematic review and meta-analysis. Am J Perinatol. 2012 Aug;29(7):551-6. doi: 10.1055/s-0032-1310527. Epub 2012 Apr 11.
- Background: PubMed 25724400Wright D, Syngelaki A, Akolekar R, Poon LC, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal characteristics and medical history. Am J Obstet Gynecol. 2015 Jul;213(1):62.e1-62.e10. doi: 10.1016/j.ajog.2015.02.018. Epub 2015 Feb 25.
- Background: PubMed 26297382O'Gorman N, Wright D, Syngelaki A, Akolekar R, Wright A, Poon LC, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 11-13 weeks gestation. Am J Obstet Gynecol. 2016 Jan;214(1):103.e1-103.e12. doi: 10.1016/j.ajog.2015.08.034. Epub 2015 Aug 19.
- Background: PubMed 26627730Gallo DM, Wright D, Casanova C, Campanero M, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 19-24 weeks' gestation. Am J Obstet Gynecol. 2016 May;214(5):619.e1-619.e17. doi: 10.1016/j.ajog.2015.11.016. Epub 2015 Nov 25.
- Background: PubMed 26875953Tsiakkas A, Saiid Y, Wright A, Wright D, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 30-34 weeks' gestation. Am J Obstet Gynecol. 2016 Jul;215(1):87.e1-87.e17. doi: 10.1016/j.ajog.2016.02.016. Epub 2016 Feb 12.
- Background: PubMed 26566592Andrietti S, Silva M, Wright A, Wright D, Nicolaides KH. Competing-risks model in screening for pre-eclampsia by maternal factors and biomarkers at 35-37 weeks' gestation. Ultrasound Obstet Gynecol. 2016 Jul;48(1):72-9. doi: 10.1002/uog.15812. Epub 2016 May 30.
- Background: PubMed 12044323Brown MA, Lindheimer MD, de Swiet M, Van Assche A, Moutquin JM. The classification and diagnosis of the hypertensive disorders of pregnancy: statement from the International Society for the Study of Hypertension in Pregnancy (ISSHP). Hypertens Pregnancy. 2001;20(1):IX-XIV. doi: 10.1081/PRG-100104165. No abstract available.
- Background: PubMed 24150027Hypertension in pregnancy. Report of the American College of Obstetricians and Gynecologists' Task Force on Hypertension in Pregnancy. Obstet Gynecol. 2013 Nov;122(5):1122-1131. doi: 10.1097/01.AOG.0000437382.03963.88. No abstract available.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Liona CY Poon principal investigator
Chinese University of Hong Kong
14 sites in 7 countries: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Pre-Eclampsia, run by Chiu Yee Liona Poon at 14 sites in 7 countries.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 2 Jan 2020. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 14 sites in Japan, China, Hong Kong, Singapore, Thailand and 2 more countries. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The false positive and true positive frequencies for screening for PE using the Bayes theorem based methods (time frame: At delivery). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03554681, which also lists 15 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Jan 2020.