ABSTRACT
Introduction: In women receiving chronic dialysis, fertility is impaired. The objectives of this study were to estimate the incidence rate of pregnancies among women of childbearing age (15-50 years) receiving chronic dialysis from 2006 to 2020 in France, to describe the pregnancy outcomes and renal management during pregnancy. Methods: This national observational, retrospective study was based on data from the French REIN registry matched with the National Health Data System. Results: Over the period 2006 to 2020 in France, 348 pregnancies were identified in 240 women receiving chronic dialysis. The overall incidence of pregnancy was 11.1, 95% confidence interval (CI) (9.9-12.3) cases per 1000 person-years. Hemodialysis was the predominant modality during pregnancy. Main maternal complications were preeclampsia (n = 19) and gestational diabetes (n = 11). The most obstetric complications were premature rupture of membranes (n = 14) and polyhydramnios (n = 5). These pregnancies resulted in 174 (50%) abortions (<22 weeks), including 104 elective abortions (29.9%), 44 miscarriages (12.6%), 17 therapeutic abortions (4.9%), 5 ectopic pregnancies (1.4%), and 4 hydatidiform moles (1.2%). The remaining 174 (50%) pregnancies with deliveries (≥22 weeks) resulted in 166 live births (70 full-term [42.2%], 96 preterm births [57.8%]), and 8 stillbirths. Median gestational age was 36 weeks (32-38) for 174 deliveries. Conclusion: There have been improvements in maternal and fetal outcomes regarding pregnancy on chronic dialysis. However, our study shows a significant proportion of elective abortions. Better fertility management of women receiving chronic dialysis is advised by contraception or by pregnancy planning and early multidisciplinary follow-up.
ABSTRACT
Background: Health policy-making require careful assessment of chronic kidney disease (CKD) epidemiology to develop efficient and cost-effective care strategies. The aim of the present study was to use the RENALGO-EXPERT algorithm to estimate the global prevalence of CKD in France. Methods: An expert group developed the RENALGO-EXPERT algorithm based on healthcare consumption. This algorithm has been applied to the French National Health claims database (SNDS), where no biological test findings are available to estimate a national CKD prevalence for the years 2018-2021. The CONSTANCES cohort (+219 000 adults aged 18-69 with one CKD-EPI eGFR) was used to discuss the limit of using health claims data. Results: Between 2018 and 2021, the estimated prevalence in the SNDS increased from 8.1% to 10.5%. The RENALGO-EXPERT algorithm identified 4.5% of the volunteers in the CONSTANCES as CKD. The RENALGO-EXPERT algorithm had a positive predictive value of 6.2% and negative predictive value of 99.1% to detect an eGFR<60 ml/min/1.73 m². Half of 252 false positive cases (ALGO+, eGFR > 90) had been diagnosed with kidney disease during hospitalization, and the other half based on healthcare consumption suggestive of a 'high-risk' profile; 95% of the 1661 false negatives (ALGO-, eGFR < 60) had an eGFR between 45 and 60 ml/min, half had medication and two-thirds had biological exams possibly linked to CKD. Half of them had a hospital stay during the period but none had a diagnosis of kidney disease. Conclusions: Our result is in accordance with other estimations of CKD prevalence in the general population. Analysis of diverging cases (FP and FN) suggests using health claims data have inherent limitations. Such an algorithm can identify patients whose care pathway is close to the usual and specific CKD pathways. It does not identify patients who have not been diagnosed or whose care is inappropriate or at early stage with stable GFR.