Abstract
Introduction: Pregnancy in women with chronic kidney disease (CKD)
is associated with high rates of adverse pregnancy outcomes including
renal dysfunction. Current risk estimates for pregnancy associated
progression of renal disease are based on outdated studies and do not
enable individual risk prediction. Our aim is to develop a prediction
tool that estimates the magnitude of pregnancy associated progression
of renal disease in women with CKD.
Methods: Data from four UK cohort studies were combined to create a
development dataset. Women with an estimated glomerular filtration
rate (eGFR CKD-EPI) between 30-90 mls/min/1.73m2within 12 months
preconception were included. The primary outcome chosen by women
and healthcare professionals was eGFR <30 mls/min/1.73m2 between 6
weeks and 12 months postpartum. Each predictor was tested in a
univariable logistic regression model to estimate crude associations.
Significant and clinically relevant predictors were included in a
multivariable model using backwards elimination. Area under the
curve values (AUROC) were calculated with 95% confidence intervals
(CI).
Results: The cohort included 200 women with 220 pregnancies (mean
age at conception 31.8 years, mean eGFR 54.93 mls/min/1.73m2). Pre
pregnancy eGFR (Odds Ratio [OR] 0.9, 95% CI 0.8 - 0.9), proteinuria
(OR for mild and moderate 1.5, 95% CI 0.5 - 4.3) and chronic hypertension
(OR 3.4, 95% CI 1.3 - 10.5) were independently associated with
postpartum eGFR <30 mls/min/1.73m2 and in combination produced a
strong model with an AUROC of 0.90 (CI 0.84 - 0.95) with sensitivity
and specificity at 94% and 75% respectively.
Conclusions: We have developed a prediction tool with high performance
for estimation of a postpartum eGFR <30 mls/min/1.73m2 which
could have important clinical value. Further external validation is
needed prior to introduction into routine care.
Original language | English |
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Journal | Kidney International Reports |
Volume | 6 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2021 |