Prediction of complications in early-onset pre-eclampsia (PREP): Development and external multinational validation of prognostic models

BMC Medicine

Volumn 15, Issue 1, 2017, Pages

  Thangaratinam, Shakila ^a,b   Allotey, John ^a,b   Marlin, Nadine ^a   Dodds, Julie ^a,b   Cheong See, Fiona ^a,b   von Dadelszen, Peter ^c   Ganzevoort, Wessel ^d   Akkermans, Joost ^e   Kerry, Sally ^a   Mol, Ben W ^f,g   Moons, Karl G M ^h   Riley, Richard D ⁱ   Khan, Khalid S ^a,b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^c ST GEORGE S HOSPITAL   (United Kingdom)

^d UNIVERSITY OF AMSTERDAM   (Netherlands)

^e LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^f UNIVERSITY OF ADELAIDE   (Australia)

^g SOUTH AUSTRALIAN HEALTH AND MEDICAL RESEARCH INSTITUTE   (Australia)

^h UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

ⁱ KEELE UNIVERSITY   (United Kingdom)

Author keywords

Complications; Early onset; Maternal; Pre eclampsia; Prognostic models

Indexed keywords

ALANINE AMINOTRANSFERASE; ANTIHYPERTENSIVE AGENT; CREATININE; MAGNESIUM SULFATE; UREA;

ADULT; ALANINE AMINOTRANSFERASE BLOOD LEVEL; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; HIGH RISK PREGNANCY; HOSPITAL DISCHARGE; HUMAN; MAJOR CLINICAL STUDY; MATERNAL AGE; MATERNAL CARE; MEDICAL HISTORY; NETHERLANDS; NEWBORN CARE; OUTCOME ASSESSMENT; OXYGEN SATURATION; PATIENT TRANSPORT; PREDICTION; PREECLAMPSIA; PREGNANCY; PROGNOSIS; PROSPECTIVE STUDY; RENAL SYSTEM PARAMETERS; SYSTOLIC BLOOD PRESSURE; TENDON REFLEX; TERTIARY CARE CENTER; UNITED KINGDOM; URINE PROTEIN CREATININE RATIO; VALIDATION STUDY; GESTATIONAL AGE; NEWBORN; PATHOPHYSIOLOGY; PRENATAL DIAGNOSIS; RISK ASSESSMENT; RISK FACTOR; STANDARDS; STATISTICAL MODEL;

ADULT; FEMALE; GESTATIONAL AGE; HUMANS; INFANT, NEWBORN; LOGISTIC MODELS; PRE-ECLAMPSIA; PREGNANCY; PRENATAL DIAGNOSIS; PROGNOSIS; PROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; UNITED KINGDOM;

EID: 85016480396     PISSN: None     EISSN: 17417015     Source Type: Journal    
DOI: 10.1186/s12916-017-0827-3     Document Type: Article

References (42)

1. MacKay AP, Berg CJ, Atrash HK. Pregnancy-related mortality from preeclampsia and eclampsia. Obstet Gynecol. 2001;97(4):533-8.
2. von Dadelszen P, Magee LA, Roberts JM. Subclassification of preeclampsia. Hypertens Pregnancy. 2003;22(2):143-8.
3. von Dadelszen P, Menzies JM, Payne B, Magee LA, PIERS (Pre-eclampsia Integrated Estimate of RiSk) Study Group. Predicting adverse outcomes in women with severe pre-eclampsia. Semin Perinatol. 2009;33(3):152-7.
4. von Dadelszen P, Payne B, Li J, Ansermino JM, Broughton-Pipkin F, Cote AM, Douglas MJ, Gruslin A, Hutcheon JA, Joseph KS, Kyle PM, Lee T, Loughna P, Menzies JM, Merialdi M, Millman AL, Moore MP, Moutquin JM, Ouellet AB, Smith GN, Walker JJ, Walley KR, Walters BN, Widmer M, Lee SK, Russell JA, Magee LA, PIERS Study Group. Prediction of adverse maternal outcomes in pre-eclampsia: development and validation of the fullPIERS model. Lancet. 2011;377(9761):219-27.
5. Murphy DJ, Stirrat GM. Mortality and morbidity associated with early-onset preeclampsia. Hypertens Pregnancy. 2000;19(2):221-31.
6. Churchill D, Duley L. Interventionist versus expectant care for severe pre-eclampsia before term. Cochrane Database Syst Rev. 2002;3:CD003106.
7. World Health Organization. WHO recommendations for prevention and treatment of pre-eclampsia and eclampsia. Geneva: WHO; 2011.
8. High Dependency Care for Children - Time To Move On. A focus on the critically ill child pathway beyond the Paediatric Intensive Care Unit. 2014. http://www.rcpch.ac.uk/sites/default/files/page/HDC%20for%20web.pdf. Accessed 30 Aug 2016.
9. Rushforth K, Darowski M, McKinney PA. Quantifying high dependency care: a prospective cohort study in Yorkshire (UK). Eur J Pediatr. 2012;171(1):77-85.
10. Morris KP, Oppong R, Holdback N, Coast J, West Midlands Paediatric High Dependency Group. Defining criteria and resource use for high dependency care in children: an observational economic study. Arch Dis Child. 2014;99(7):652-8.
11. Ganzevoort W, Rep A, Bonsel GJ, De Vries JI, Wolf H, PETRA investigators. A randomized trial of plasma volume expansion in hypertensive disorders of pregnancy: influence on the pulsatility indices of the fetal umbilical artery and middle cerebral artery. Am J Obstet Gynecol. 2005;192(1):233-9.
12. Tajik P, Rengerink KO, Ganzevoort W, Zwinderman AH, Mol BW, Bossuyt PM. Prediction of pre-eclampsia complications. Lancet. 2011;377(9774):1313.
13. Project Portfolio. HTA - 09/22/163: Development and validation of a Prediction model for Risk of complications in Early onset Pre eclampsia (PREP). http://www.nets.nihr.ac.uk/projects/hta/0922163. Accessed 30 Nov 2015.
14. Altman DG, Vergouwe Y, Royston P, Moons KG. Prognosis and prognostic research: validating a prognostic model. BMJ. 2009;338:b605.
15. Moons KG, Royston P, Vergouwe Y, Grobbee DE, Altman DG. Prognosis and prognostic research: what, why, and how? BMJ. 2009;338:b375.
16. Royston P, Moons KG, Altman DG, Vergouwe Y. Prognosis and prognostic research: Developing a prognostic model. BMJ. 2009;338:b604.
17. Cheong-See F, Allotey J, Marlin N, et al. Prediction models in obstetrics: understanding the treatment paradox and potential solutions to the threat it poses. BJOG. 2016;123(7):1060-4.
18. Hypertension in Pregnancy: The management of hypertensive disorders during pregnancy. NICE Clinical Guideline. 2010. https://www.nice.org.uk/guidance/cg107. Accessed 12 Feb 2015.
19. Thangaratinam S, Coomarasamy A, O'Mahony F, et al. Estimation of proteinuria as a predictor of complications of pre-eclampsia: a systematic review. BMC Med. 2009;7:10.
20. Thangaratinam S, Coomarasamy A, Sharp S, et al. Tests for predicting complications of pre-eclampsia: a protocol for systematic reviews. BMC Pregnancy Childbirth. 2008;8:38.
21. Thangaratinam S, Gallos ID, Meah N, et al. How accurate are maternal symptoms in predicting impending complications in women with preeclampsia? A systematic review and meta-analysis. Acta Obstet Gynecol Scand. 2011;90(6):564-73.
22. Thangaratinam S, Ismail K, Sharp S, et al. Prioritisation of tests for the prediction of preeclampsia complications: a Delphi survey. Hypertens Pregnancy. 2007;26(1):131-8.
23. Thangaratinam S, Ismail KM, Sharp S, Coomarasamy A, Khan KS, Tests in Prediction of Pre-eclampsia Severity review group. Accuracy of serum uric acid in predicting complications of pre-eclampsia: a systematic review. BJOG. 2006;113(4):369-78.
24. Thangaratinam S, Koopmans CM, Iyengar S, et al. Accuracy of liver function tests for predicting adverse maternal and fetal outcomes in women with preeclampsia: a systematic review. Acta Obstet Gynecol Scand. 2011;90(6):574-85.
25. Ganzevoort W, Rep A, Bonsel GJ, et al. A randomised controlled trial comparing two temporising management strategies, one with and one without plasma volume expansion, for severe and early onset pre-eclampsia. BJOG. 2005;112(10):1358-68.
26. Altman D, Carroli G, Duley L, Farrell B, Moodley J, Neilson J, Smith D, Magpie Trial Collaboration Group. Do women with pre-eclampsia, and their babies, benefit from magnesium sulphate? The Magpie Trial: a randomised placebo-controlled trial. Lancet. 2002;359(9321):1877-90.
27. Koopmans CM, Bijlenga D, Groen H, et al. Induction of labour versus expectant monitoring for gestational hypertension or mild pre-eclampsia after 36weeks' gestation (HYPITAT): a multicentre, open-label randomised controlled trial. Lancet. 2009;374(9694):979-88.
28. Martin JN, May WL, Magann EF, Terrone DA, Rinehart BK, Blake PG. Early risk assessment of severe preeclampsia: Admission battery of symptoms and laboratory tests to predict likelihood of subsequent significant maternal morbidity. Am J Obstet Gynecol. 1999;180(6):1407-14.
29. Page EW, Christianson R. The impact of mean arterial pressure in the middle trimester upon the outcome of pregnancy. Am J Obstet Gynecol. 1976;125:740-6.
30. Witlin AG, Saade GR, Mattar F, Sibai BM. Risk factors for abruptio placentae and eclampsia: analysis of 445 consecutively managed women with severe preeclampsia and eclampsia. Am J Obstet Gynecol. 1999;180(6 Pt 1):1322-9.
31. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373-9.
32. Lambert PC, Royston P. Further development of flexible parametric models for survival analysis. Stata J. 2009;9(2):265-90.
33. Royston P, Lambert PC. Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model. College Station, TX: Stata Press; 2011.
34. Royston P, Parmar MK. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Stat Med. 2002;21(15):2175-97.
35. StataCorp. Stata Statistical Software: Release 12. College Station, TX: StataCorp LP; 2011.
36. Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York: Wiley; 1987.
37. Royal College of Obstetricians and Gynaecologists. Magnesium Sulphate to Prevent Cerebral Palsy following Preterm Birth (Scientific Impact Paper No. 29). https://www.rcog.org.uk/globalassets/documents/guidelines/scientific-impact-papers/sip_29.pdf. Accessed 14 Jan 2016.
38. Ananth CV. Placental abruption and perinatal mortality in the United States. Am J Epidemiol. 2001;153(4):332-7.
39. Allotey J, Marlin N, Mol B, et al. Development and validation of prediction models for risk of adverse outcomes in women with early-onset pre-eclampsia: protocol of the prospective cohort PREP study. Diagn Prognostic Res. 2017. In press.
40. Payne BA, Hutcheon JA, Ansermino JM, et al. A risk prediction model for the assessment and triage of women with hypertensive disorders of pregnancy in low-resourced settings: the miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) multi-country prospective cohort study. PLoS Med. 2014;11(1):e1001589.
41. Thangaratinam S, Allotey J, Marlin N, et al. Development and validation of a prediction model for the risk of adverse outcomes in women with early onset pre-eclampsia (PREP): Prospective cohort study. Health Technol Assess. 2016. In Press.
42. Widmer M, Cuesta C, Khan KS, et al. Accuracy of angiogenic biomarkers at 20weeks' gestation in predicting the risk of pre-eclampsia: a WHO multicentre study. Pregnancy Hypertens. 2015;5(4):330-8.