Estimated GFR in autosomal dominant polycystic kidney disease: errors of an unpredictable method

Background Autosomal dominant polycystic kidney disease (ADPKD) causes about 10% of cases of end stage renal disease. Disease progression rate is heterogeneous. Tolvaptan is presently the only specific therapeutic option to slow kidney function decline in adults at risk of rapidly progressing ADPKD...

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Veröffentlicht in:Journal of nephrology 2022-11, Vol.35 (8), p.2109-2118
Hauptverfasser: Rodríguez, Rosa Miquel, Luis-Lima, Sergio, Fernandez, Juan Manuel, Gómez, María Vanesa Pérez, Toledo, Beatriz González, Cobo, Marian, Delgado-Mallén, Patricia, Escamilla, Beatriz, Marco, Cristina Oramas, Estupiñán, Sara, Perera, Coriolano Cruz, Mena, Natalia Negrín, Martín, Laura Díaz, Reyes, Sergio Pitti, González, Ibrahim Hernández, González-Rinne, Federico, González-Delgado, Alejandra, Ferrer-Moure, Carmen, Zulueta, Begoña López-Botet, Torres, Armando, Rodriguez Pérez, Jose Carlos, Gaspari, Flavio, Ortiz, Alberto, Porrini, Esteban
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Sprache:eng
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Zusammenfassung:Background Autosomal dominant polycystic kidney disease (ADPKD) causes about 10% of cases of end stage renal disease. Disease progression rate is heterogeneous. Tolvaptan is presently the only specific therapeutic option to slow kidney function decline in adults at risk of rapidly progressing ADPKD with chronic kidney disease (CKD) stages 1–4. Thus, a reliable evaluation of kidney function in patients with ADPKD is needed. Methods We evaluated the agreement between measured (mGFR) and estimated glomerular filtration rate (eGFR) by 61 formulas based on creatinine and/or cystatin-C (eGFR) in 226 ADPKD patients with diverse GFR values, from predialysis to glomerular hyperfiltration. Also, we evaluated whether incorrect categorization of CKD using eGFR may interfere with the indication and/or reimbursement of Tolvaptan treatment. Results No formula showed acceptable agreement with mGFR. Total Deviation Index averaged about 50% for eGFR based on creatinine and/or cystatin-C, indicating that 90% of the estimations of GFR showed bounds of error of 50% when compared with mGFR. In 1 out of 4 cases with mGFR 
ISSN:1724-6059
1121-8428
1724-6059
DOI:10.1007/s40620-022-01286-0