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Table 1 Examples of predictive models on adverse maternal or neonatal outcomes

From: Statistical risk prediction models for adverse maternal and neonatal outcomes in severe preeclampsia in a low-resource setting: proposal for a single-centre cross-sectional study at Mpilo Central Hospital, Bulawayo, Zimbabwe

Author

Year

Country

Predictor variables

Outcome

AUROC

Sensitivity (%)

Specificity

von Dadelszen et al.

2011

Canada, New Zealand

Australia

UK

Demographic characteristics

Clinical

Interventions

Pregnancy outcomes

Maternal

0.880

76

87%

Payne et al.

2014

Fiji

Uganda

South Africa

Brazil

Pakistan

Demographic characteristics

Symptoms

Signs

Maternal

0.768

41.4

91.9%

Thangaratinam et al.

2017

England

Wales

Demographic characteristics

Medical history

Signs

Laboratory tests

Oxygen saturation Antihypertensives

Magnesium sulphate

Maternal

Neonatal

0.840

82

–