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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