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Dachy, Angélique

https://orcid.org/0000-0002-4895-3084

Mayo Clinic

University of Liège

Citations 2

#3295 RAPIDLY PROGRESSIVE AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE : RISK FACTORS FOR DISEASE SEVERITY DURING CHILDHOOD AND EARLY ADULTHOOD
Wigerinck, Stijn , Schellekens, Pieter , Dachy, Angélique , Chedid, Maroun , Jouret, François , Hanna, Christian , Harris, Peter C. , Bammens, Bert , Chebib, Fouad T. , Mekahli, Djalila

Nephrology Dialysis Transplantation | June 14, 2023 | Volume: 38 | Issue: Supplement_1 | Pages: No page available

10.1093/ndt/gfad063a_3295 Get It

Abstract Background and Aims Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disease and is characterized by genetic complexity and phenotypic variability. The age of reaching kidney failure (KF) is variable and covers the complete age-spectrum. There is an unmet need for early biomarkers to differentiate between rapid and slow progressors. The PROPKD score identified hypertension before the age of 35 years as a risk factor for rapid kidney function decline. We aim to identify earlier risk factors for rapid disease progression by studying a population of ADPKD patients who reached kidney failure (KF) before the age of 40y. Method This multicentric retrospective study focusses on a unique population (n = 200) of ADPKD patients who reached KF before 40y. Kidney failure (KF) was defined as CKD5 or start of Kidney Replacement Therapy (KRT), whichever came first. Longitudinal data on childhood history, comorbidities and kidney function were collected. Life table and Proportional Hazards analysis were used to assess associations between clinical parameters and time to KF. Results Median age of ADPKD diagnosis was 22.3 (16.5 – 28.6) and median age of KF onset was 36.2 years (32.9-38.7 years). Fourty-seven patients were genotyped (23.5%) of which 38 patients (81.0%) were PKD1T and 8 (17.0%) were PKD1NTand only 1 patient (2.1%) was PKD2. Median age at first urological event was 27.0 (20.7 – 32.0) years. 71 patients (35.5%) had history of UTI's, 67 patients (33.5%) had hemorrhagic cysts on abdominal imaging, 66 patients (33.0%) presented with gross hematuria and 40 patients (25.0%) presented with kidney stones. There was a high prevalence of hypertension (N = 128, 64.0%). Four patients (N = 4/128, 3.1%) had a very early diagnosis of hypertension before the age of 10 years. Hypertension-onset before the age of 18 years correlated with a significantly faster progression (UV HR: 2.07 (1.32 – 3.25)). Conclusion This study describes a unique cohort of ADPKD patients with rapid disease progression. Hypertension at young age (<18) correlated with rapid disease progression, suggesting that ambulatory blood pressure in children might be useful to identify patients at risk for rapidly progressive ADPKD.
Risk Severity Model for Pediatric Autosomal Dominant Polycystic Kidney Disease Using 3D Ultrasound Volumetry
Breysem, Luc , Keyzer, Frederik De , Schellekens, Pieter , Dachy, Angélique , Vennekens, Rudi , Irazabal, María V. , Ongeval, Chantal Van , Harris, Peter C. , De Keyzer, Frederik , Irazabal, Maria V , Mekahli, Djalila , Harris, Peter C , Rechter, Stéphanie De , Janssens, Peter , Bammens, Bert

Clinical Journal of the American Society of Nephrology | February 17, 2023 | Volume: 18 | Issue: 5 | Pages: 581-591

10.2215/cjn.0000000000000122 Get It

Background Height-adjusted total kidney volume (htTKV) measured by imaging defined as Mayo Imaging Class (MIC) is a validated prognostic measure for autosomal dominant polycystic kidney disease (ADPKD) in adults to predict and stratify disease progression. However, no stratification tool is currently available in pediatric ADPKD. Because magnetic resonance imaging and computed tomography in children are difficult, we propose a novel 3D ultrasound-based pediatric Leuven Imaging Classification to complement the MIC. Methods A prospective study cohort of 74 patients with genotyped ADPKD (37 female) was followed longitudinally with ultrasound, including 3D ultrasound, and they underwent in total 247 3D ultrasound assessments, with patients' median age (interquartile range [IQR]) at diagnosis of 3 (IQR, 0–9) years and at first 3D ultrasound evaluation of 10 (IQR, 5–14) years. First, data matching was done to the published MIC classification, followed by subsequent optimization of parameters and model type. Results PKD1 was confirmed in 70 patients (95%), PKD2 in three (4%), and glucosidase IIα unit only once (1%). Over these 247 evaluations, the median height was 143 (IQR, 122–166) cm and total kidney volume was 236 (IQR, 144–344) ml, leading to an htTKV of 161 (IQR, 117–208) ml/m. Applying the adult Mayo classification in children younger than 15 years strongly underestimated ADPKD severity, even with correction for height. We therefore optimized the model with our pediatric data and eventually validated it with data of young patients from Mayo Clinic and the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease used to establish the MIC. Conclusions We proposed a five-level Leuven Imaging Classification ADPKD pediatric model as a novel classification tool on the basis of patients' age and 3D ultrasound-htTKV for reliable discrimination of childhood ADPKD severity.