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August 31, 2026The Lancet601 citations

Prediction of adverse maternal outcomes in pre-eclampsia: development and validation of the fullPIERS model

PDPeter von DadelszenBPBeth A. PayneJLJing Li

Key Result

The fullPIERS model accurately predicted adverse maternal outcomes within 48 hours of eligibility in women with pre-eclampsia, achieving an area under the curve of 0.88.

Key Points

  • To develop and validate the fullPIERS risk prediction model for identifying adverse maternal outcomes in women admitted with pre-eclampsia.
  • Conducted a prospective multicenter cohort study across tertiary obstetric centers to collect clinical, demographic, and laboratory predictor variables.
  • Developed a multivariable logistic regression model (fullPIERS) and evaluated discrimination and calibration using receiver operating characteristic analysis.
  • The fullPIERS model demonstrated strong discriminatory capacity for predicting adverse maternal outcomes within 48 hours of admission.
  • Key clinical predictors including gestational age, chest pain or dyspnea, oxygen saturation, platelet count, serum creatinine, and aspartate aminotransferase accurately stratified maternal risk.

Study Design

Type

Cohort (n=2,023)

Multicenter

Yes

Structured PICO

Can the fullPIERS model predict fatal or life-threatening complications within 48 hours in women with pre-eclampsia?

P
Population
2,023 women admitted to tertiary centers with pre-eclampsia, assessed to develop and validate the fullPIERS model for predicting adverse maternal outcomes within 48 hours.
E
Exposure
fullPIERS prediction model (incorporating gestational age, chest pain or dyspnoea, oxygen saturation, platelet count, and creatinine and aspartate transaminase concentrations)
O
Outcome
Maternal mortality or other serious complications of pre-eclampsia within 48 h of hospital admissioncomposite

The fullPIERS model accurately identifies women with pre-eclampsia at high risk of severe adverse outcomes within 48 hours of admission, facilitating timely clinical interventions.

Main Result

Effect estimate: AUC 0.88 (95% CI 0.84-0.92)

Limitations

  • Broad definition of pre-eclampsia including women without significant proteinuria.
  • Components of the combined adverse maternal outcome are not of equal value.
  • Study performed solely in high income country tertiary obstetric units.
  • Relatively small sample size, especially for uncommon outcomes such as eclampsia.
  • Limited to maternal surveillance and does not address excess perinatal risks.

Abstract

BACKGROUND: Pre-eclampsia is a leading cause of maternal deaths. These deaths mainly result from eclampsia, uncontrolled hypertension, or systemic inflammation. We developed and validated the fullPIERS model with the aim of identifying the risk of fatal or life-threatening complications in women with pre-eclampsia within 48 h of hospital admission for the disorder. METHODS: We developed and internally validated the fullPIERS model in a prospective, multicentre study in women who were admitted to tertiary obstetric centres with pre-eclampsia or who developed pre-eclampsia after admission. The outcome of interest was maternal mortality or other serious complications of pre-eclampsia. Routinely reported and informative variables were included in a stepwise backward elimination regression model to predict the adverse maternal outcome. We assessed performance using the area under the curve (AUC) of the receiver operating characteristic (ROC). Standard bootstrapping techniques were used to assess potential overfitting. FINDINGS: 261 of 2023 women with pre-eclampsia had adverse outcomes at any time after hospital admission (106 5% within 48 h of admission). Predictors of adverse maternal outcome included gestational age, chest pain or dyspnoea, oxygen saturation, platelet count, and creatinine and aspartate transaminase concentrations. The fullPIERS model predicted adverse maternal outcomes within 48 h of study eligibility (AUC ROC 0·88, 95% CI 0·84-0·92). There was no significant overfitting. fullPIERS performed well (AUC ROC >0·7) up to 7 days after eligibility. INTERPRETATION: The fullPIERS model identifies women at increased risk of adverse outcomes up to 7 days before complications arise and can thereby modify direct patient care (eg, timing of delivery, place of care), improve the design of clinical trials, and inform biomedical investigations related to pre-eclampsia. FUNDING: Canadian Institutes of Health Research; UNDP/UNFPA/WHO/World Bank Special Programme of Research, Development, and Research Training in Human Reproduction; Preeclampsia Foundation; International Federation of Obstetricians and Gynecologists; Michael Smith Foundation for Health Research; and Child and Family Research Institute.

Expert Takes5 quotes

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“The fullPIERS model identifies women at increased risk of adverse outcomes up to 7 days before complications arise and can thereby modify direct patient care (eg, timing of delivery, place of care), improve the design of clinical trials, and inform biomedical investigations related to pre-eclampsia.”

Peter von Dadelszen, Professor of Global Women's Health, King's College Londonauto_pipelineSupportiveView source
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Cite This Study

Dadelszen et al. (2010) conducted a cohort in Pre-eclampsia (n=2,023). fullPIERS prediction model was evaluated on Maternal mortality or other serious complications of pre-eclampsia within 48 hours of eligibility (AUC 0.88, 95% CI 0.84-0.92). The fullPIERS model accurately predicted adverse maternal outcomes within 48 hours of eligibility in women with pre-eclampsia, achieving an area under the curve of 0.88.

synapsesocial.com/papers/6a94f2a3eae374a57f142381https://doi.org/10.1016/s0140-6736(10)61351-7
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