PREDICT Tool for Pregnancy-Associated CKD Progression

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Introduction: Prepregnancy counselling is recommended for women with chronic kidney disease (CKD) to discuss potential adverse outcomes; however, no tools exist to estimate individual risk. We aimed to develop and externally validate 2 prediction models for outcomes prioritized by people with CKD and health care professionals: The primary outcome was the probability of ≥25% reduction in estimated glomerular filtration rate (eGFR) or kidney replacement therapy (KRT) within 12 months postpartum. The secondary outcome was the probability of small-for-gestational-age (SGA) (< 3rd percentile) infant and/or preterm delivery (< 34 weeks). Methods: within 24 months preconception and deliveries between 1997 and 2021 were included. Validation cohorts were as follows: (i) Ontario Pregnancy Cohort (2007-2022) and (ii) 3 UK pregnancy-CKD studies (2010-2018). Candidate predictors were selected from known risk factors. Clinically relevant cut-points were determined with people with CKD. Results: ); validation cohorts included 6974 and 380 women. Optimal cut-points of 0.15 (sensitivity: 90%, negative predictive value (NPV): 85%) and 0.10 (sensitivity: 90%, NPV: 80%) were selected for the primary and secondary outcomes. External validations demonstrated high sensitivity and NPV for the primary outcome. Although comparability is limited by differing end points, Kidney Failure Risk Equation (KFRE) predictions (2-year) were lower than our PREDICT model (1-year) (median risk 1.4% vs. 48%). Conclusion: We developed high performing models for individuals with CKD to predict coselected adverse kidney and neonatal outcomes from contemporaneous cohorts. Individualized pregnancy risk assessment tools could support future parents and health care professionals to make informed choices.

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