CClinicalTrials.gg
CompletedNCT03831490IMPACTUpdated May 9, 2024

Study for Improving Maternal, Pregnancy and Child Outcomes

An observational study in Pre-Eclampsia, sponsored by Uppsala University. Completed at 9 sites in Sweden. Open to female participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-05-09.

Sponsored by Uppsala University · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
13,000
Ages
18 Years and older
Sex
Female
01

Study summary

The overall aims of this proposal are to improve, facilitate, optimize and equalize the existing screening system for adverse pregnancy outcomes in early pregnancy in order to limit adverse consequences for both the mother and infant, by:

  1. Creating a Swedish prediction model with population-specific risk factors, optimized for the Swedish health care system, identifying high-risk women for preterm preeclampsia and validate the model within the cohort. This would give us the possibility to start aspirin prophylaxis in time, which has been proven to reduce the risk of developing preterm preeclampsia by 50%.
  2. Validating the Fetal Medicine Foundation prediction model for detection of preterm (\< 37 gestational weeks) preeclampsia in a Swedish population.
  3. Creating a prediction model identifying high-risk women for overall preeclampsia during pregnancy and birth of a small for gestational age infant in order to plan individualized surveillance for early detection, which has been proven beneficial for both the mother and infant.
  4. Creating a national pregnancy biobank with blood samples and individual clinical registry data, including pregnancy outcomes, enabling future research on prevention and early detection for various adverse pregnancy outcomes which could be such as preterm birth and intrauterine growth restriction.
Read the detailed description

Preeclampsia is a pregnancy-specific syndrome that affects 3-5% of all pregnancies and traditionally defined as new onset hypertension (blood pressure ≥ 140/90) and proteinuria after gestational week 20. The syndrome is one of the leading causes of maternal and perinatal acute morbidity and long-term disability and accounts for about 50 000 maternal deaths annually worldwide. Morbidity risks for the mother include seizures, intracranial hemorrhage, kidney failure, heart failure and pulmonary edema. Risks for the fetus include fetal growth restriction, preterm birth and hypoxia. Generally preterm preeclampsia (delivery before 37 weeks) is more severe than term preeclampsia.

Risk assessment for preeclampsia enables both prevention and early prediction of the disease.

Swedish risk assessment for preeclampsia in early pregnancy is still obtained by maternal history and characteristics, without medical examinations, which only detects about 30% of women that will develop preeclampsia. Risk factors are evaluated individually without being incorporated into a combined model that would allow multivariable analysis. This approach has been proven to be poor due to low specificity and sensitivity. Lately a more complex prediction model has been developed by the Fetal Medicine Foundation, using multivariable analysis and including serum biomarkers and physiological measurements reflecting maternal adaption to pregnancy. Intervention with aspirin given to identified high-risk pregnancies according this model has been shown to decrease the incidence of preterm (\< 37 gestational weeks) preeclampsia (OR: 0.38; 95% CI 0.20-0.74), compared to placebo. Detection rates and cut-off values have been shown to vary between populations, depending on differences in population characteristics and incidence of disease, overfitting of the original model and differences in healthcare systems. Therefore, the model needs to be validated in Sweden. Further, the Fetal Medicine Foundation prediction model includes expensive covariates such as several biochemical markers and uterine artery Doppler. There is a need to create, validate and implement a cost-effective prediction model for first trimester screening for preeclampsia in a Swedish population, with the purpose to select who might benefit from aspirin prophylaxis to prevent preterm preeclampsia. We will study preeclampsia both according to the definition used in Sweden prior to 2020 and the definition used hereafter.

Early detection of preeclampsia remains one of the major focuses of maternal health care and is emphasized by the WHO, since it has proven to be beneficial for both the mother and unborn child. Small-for-gestational-age fetuses not identified before delivery have an increased risk of adverse perinatal outcomes, compared to those identified during pregnancy. Identification of high-risk pregnancies is therefore important in early pregnancy not only to plan for prophylactic interventions, but also to optimize surveillance and to plan deliveries. Today most Swedish women attend the same maternal health care program with increasing number of visits in the end of pregnancy. By risk identification in early pregnancy we can individualize maternal health care and target women at high risk early in pregnancy. High-risk pregnancies can be referred to specialized health care and normal pregnancies followed at the basic maternal health care.

The Swedish registry data is unique and combining it with a biobank containing blood samples from the first trimester could improve maternal healthcare and in the long run reduce adverse outcomes for Swedish women. A national first trimester pregnancy biobank would facilitate future research on prevention and prediction of pregnancy complications.

A total of 13000 enrolled individuals will be needed for creating the model and for validation.

02

Conditions studied

  • Pre-Eclampsia

Keywords

  • screening
  • biomarkers
  • prediction
03

In context

Eclampsia

328 studies on the registry are indexed under Eclampsia; 48 are open to participants now.

This study's enrollment of 13,000 is above the median of 158 across 146 observational studies indexed under Eclampsia.

Browse Eclampsia studies →

Lead sponsor

Uppsala University is the lead sponsor of 381 studies on the registry; 84 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

All women attending a first trimester ultrasound at the study sites, which involves both tertiary as well as secondary hospitals and out-patient clinics.

Inclusion criteria

  • Women with a Swedish personal identity number, who adhere to maternal care program before the end of the first trimester and have a planned first trimester scan (weeks 11-13) are eligible for the study.

Exclusion criteria

Exclusion Criteria:

  • Maternal age \<18 years or language-barrier despite interpreter and written information.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
13,000 participants (actual)
Target follow-up
9 Months
Patient registry
Yes
Biospecimen retention
Samples with dna

Interventions

  • Diagnostic testhistory

    combining these 4 interventions will great an algorithm predicting preeclampsia

    Also known as: mean material blod pressure, PlGF - blood sample, a- uterine doppler

06

What researchers measure

Primary outcomes

  1. Preterm Preeclampsia

    Preeclampsia according to the Swedish definition, currently new onset hypertension (blood pressure ≥ 140/90) and proteinuria after gestational week 20.

    Time frame: delivery <37 gestational weeks

Secondary outcomes

  1. Small for gestational age

    birthweight ≤ - 2 SD according to the Swedish reference curve

    Time frame: at delivery

  2. Overall preeclampsia

    Preeclampsia according to the Swedish definition, currently new onset hypertension (blood pressure ≥ 140/90) and proteinuria after gestational week 20.

    Time frame: At delivery

  3. Preterm preeclampsia

    Preeclampsia according to the Swedish definition prior to 2020 as well as the definition hereafter

    Time frame: delivery <37 gestational weeks

  4. Term preeclampsia

    Preeclampsia according to the Swedish definition prior to 2020 as well as the definition hereafter

    Time frame: delivery >/=37 gestational weeks

07

Study locations

9 sites
  • Eskilstuna hospital
    Eskilstuna, Sörmland, Sweden
  • Södra Älvsborgs sjukhus
    Borås, Västra Götalandsregionen, Sweden
  • Norra Älvsborgs sjukhus
    Trollhättan, Västra Götalandsregionen, Sweden
  • County Council Dalarna
    Falun, Sweden
  • Gothenburg University, Sahlgrenska academy, dept of obstetrics and gynecology
    Gothenburg, Sweden
  • Lund University Hospital, dept of obstetrics and gynecology
    Lund, Sweden
  • Karolinska Institute
    Stockholm, Sweden
  • Uppsala University Hopsital, department of women's and children's health
    Uppsala, Sweden
  • Örebro University Hospital
    Örebro, Sweden
08

References and documents

Publications

  • Duley L. The global impact of pre-eclampsia and eclampsia. Semin Perinatol. 2009 Jun;33(3):130-7. doi: 10.1053/j.semperi.2009.02.010. PubMed 19464502 ↗
  • Mol BWJ, Roberts CT, Thangaratinam S, Magee LA, de Groot CJM, Hofmeyr GJ. Pre-eclampsia. Lancet. 2016 Mar 5;387(10022):999-1011. doi: 10.1016/S0140-6736(15)00070-7. Epub 2015 Sep 2. PubMed 26342729 ↗
  • Wikstrom AK, Larsson A, Eriksson UJ, Nash P, Norden-Lindeberg S, Olovsson M. Placental growth factor and soluble FMS-like tyrosine kinase-1 in early-onset and late-onset preeclampsia. Obstet Gynecol. 2007 Jun;109(6):1368-74. doi: 10.1097/01.AOG.0000264552.85436.a1. PubMed 17540809 ↗
  • Wright 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 25724400 ↗
  • Akolekar R, Syngelaki A, Poon L, Wright D, Nicolaides KH. Competing risks model in early screening for preeclampsia by biophysical and biochemical markers. Fetal Diagn Ther. 2013;33(1):8-15. doi: 10.1159/000341264. Epub 2012 Aug 16. Erratum In: Fetal Diagn Ther. 2013;34(1):43. PubMed 22906914 ↗
  • Rolnik DL, Wright D, Poon LC, O'Gorman N, Syngelaki A, de Paco Matallana C, Akolekar R, Cicero S, Janga D, Singh M, Molina FS, Persico N, Jani JC, Plasencia W, Papaioannou G, Tenenbaum-Gavish K, Meiri H, Gizurarson S, Maclagan K, Nicolaides KH. Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia. N Engl J Med. 2017 Aug 17;377(7):613-622. doi: 10.1056/NEJMoa1704559. Epub 2017 Jun 28. PubMed 28657417 ↗
  • Mosimann B, Pfiffner C, Amylidi-Mohr S, Risch L, Surbek D, Raio L. First trimester combined screening for preeclampsia and small for gestational age - a single centre experience and validation of the FMF screening algorithm. Swiss Med Wkly. 2017 Aug 25;147:w14498. doi: 10.4414/smw.2017.14498. eCollection 2017. PubMed 28871576 ↗
  • Oliveira N, Magder LS, Blitzer MG, Baschat AA. First-trimester prediction of pre-eclampsia: external validity of algorithms in a prospectively enrolled cohort. Ultrasound Obstet Gynecol. 2014 Sep;44(3):279-85. doi: 10.1002/uog.13435. Epub 2014 Aug 13. PubMed 24913190 ↗
  • O'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 26297382 ↗
  • WHO Recommendations for Prevention and Treatment of Pre-Eclampsia and Eclampsia. Geneva: World Health Organization; 2011. Available from http://www.ncbi.nlm.nih.gov/books/NBK140561/ PubMed 23741776 ↗
  • Lindqvist PG, Molin J. Does antenatal identification of small-for-gestational age fetuses significantly improve their outcome? Ultrasound Obstet Gynecol. 2005 Mar;25(3):258-64. doi: 10.1002/uog.1806. PubMed 15717289 ↗
  • Sreeja Sarojini AG, Andrew Pecora and K. Stephen Suh. Proactive Biobanking to Improve Research and Health Care. Journal of Tissue Science & Engineering.
  • Stephansson O, Petersson K, Bjork C, Conner P, Wikstrom AK. The Swedish Pregnancy Register - for quality of care improvement and research. Acta Obstet Gynecol Scand. 2018 Apr;97(4):466-476. doi: 10.1111/aogs.13266. Epub 2017 Dec 14. PubMed 29172245 ↗
  • Bergman L, Sandstrom A, Jacobsson B, Hansson S, Lindgren P, Larsson A, Imberg H, Conner P, Kublickas M, Carlsson Y, Wikstrom AK. Study for Improving Maternal Pregnancy And Child ouTcomes (IMPACT): a study protocol for a Swedish prospective multicentre cohort study. BMJ Open. 2020 Sep 23;10(9):e033851. doi: 10.1136/bmjopen-2019-033851. PubMed 32967865 ↗

Individual participant data

Plan to share: Yes — There is a plan to make IPD and related data dictionaries available with a similar project in Denmark.

Supporting information: Csr

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 9, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03831490
Lead sponsor
Uppsala University
Collaborators
Thermo Fisher Scientific, Inc, Perkin Elmer Inc., Roche Pharma AG
Responsible party
Sponsor
First posted
Feb 5, 2019
Start date
Nov 9, 2018
Primary completion
Dec 31, 2022
Completion
Dec 31, 2022
Last update
May 9, 2024

Study contacts

Lina Bergman, MD, PhD
study chair · Uppsala University
Peter Lindgren, MD, PhD
study chair · Karolinska Institutet
Anna Sandström, MD, PhD
study chair · Karolinska Institutet
Peter Conner, Ass Prof
study chair · Karolinska Institutet
Marius Kublickas, Ass Prof
study chair · Karolinska Institutet
Stefan Hansson, Professor
study chair · Lund University

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in May 2024. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion