Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis

Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis

BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management. OBJECTIVES: To assess the performance of existing pre-eclampsia prediction models and to develop and validate models for pre-eclampsia u...

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Veröffentlicht in:Health technology assessment (Winchester, England) England), 2020-12, Vol.24 (72), p.1-252
Hauptverfasser: Allotey, John, Snell, Kym Ie, Smuk, Melanie, Hooper, Richard, Chan, Claire L, Ahmed, Asif, Chappell, Lucy C, von Dadelszen, Peter, Dodds, Julie, Green, Marcus, Kenny, Louise, Khalil, Asma, Khan, Khalid S, Mol, Ben W, Myers, Jenny, Poston, Lucilla, Thilaganathan, Basky, Staff, Anne C, Smith, Gordon Cs, Ganzevoort, Wessel, Laivuori, Hannele, Odibo, Anthony O, Ramírez, Javier A, Kingdom, John, Daskalakis, George, Farrar, Diane, Baschat, Ahmet A, Seed, Paul T, Prefumo, Federico, da Silva Costa, Fabricio, Groen, Henk, Audibert, Francois, Masse, Jacques, Skråstad, Ragnhild B, Salvesen, Kjell Å, Haavaldsen, Camilla, Nagata, Chie, Rumbold, Alice R, Heinonen, Seppo, Askie, Lisa M, Smits, Luc Jm, Vinter, Christina A, Magnus, Per M, Eero, Kajantie, Villa, Pia M, Jenum, Anne K, Andersen, Louise B, Norman, Jane E, Ohkuchi, Akihide, Eskild, Anne, Bhattacharya, Sohinee, McAuliffe, Fionnuala M, Galindo, Alberto, Herraiz, Ignacio, Carbillon, Lionel, Klipstein-Grobusch, Kerstin, Yeo, SeonAe, Teede, Helena J, Browne, Joyce L, Moons, Karel Gm, Riley, Richard D, Thangaratinam, Shakila
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Sprache:eng
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Zusammenfassung:BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management. OBJECTIVES: To assess the performance of existing pre-eclampsia prediction models and to develop and validate models for pre-eclampsia using individual participant data meta-analysis. We also estimated the prognostic value of individual markers. DESIGN: This was an individual participant data meta-analysis of cohort studies. SETTING: Source data from secondary and tertiary care. PREDICTORS: We identified predictors from systematic reviews, and prioritised for importance in an international survey. PRIMARY OUTCOMES: Early-onset (delivery at
ISSN:1366-5278
DOI:10.3310/hta24720