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1
A nomogram was developed to predict adverse pregnancy outcomes in women with early-onset preeclampsia (EOPE) based on clinical data.
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2
The study included 425 women diagnosed with EOPE, with predictors identified through LASSO regression and multivariable logistic regression.
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3
Seven independent predictors were identified: gestational age, systolic blood pressure, urine protein score, platelet count, AST level, fetal growth restriction, and HELLP syndrome.
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4
The nomogram demonstrated good predictive performance with an AUC of 0.859 in the validation cohort, indicating effective risk stratification.
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5
External validation is necessary before clinical implementation, as the proposed risk categories are exploratory and not definitive.
