Validation of the Mayo Imaging Classification System for Predicting Kidney Outcomes in ADPKD

DIPAK Consortium, Thomas Bais, Paul Geertsema, Martine G E Knol, Maatje D A van Gastel, Robbert J de Haas, Esther Meijer, Ron T Gansevoort*

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

Samenvatting

BACKGROUND: The Mayo Imaging Classification (MIC) was developed to predict the rate of disease progression in patients with autosomal dominant polycystic kidney disease (ADPKD). This study aimed to validate its ability to predict kidney outcomes in a large multicenter ADPKD cohort.

METHODS: Included were patients with ≥1 height-adjusted total kidney volume (HtTKV) measurement and ≥3 estimated glomerular filtration rate (eGFR) values during ≥1 year follow-up. Mayo HtTKV class stability, kidney growth rates and eGFR decline rates were calculated. The observed eGFR decline was compared to predictions from the Mayo Clinic future eGFR equation. The future eGFR prediction equation was also tested for non-linear eGFR decline. Kaplan-Meier survival analysis and Cox regression models were used to assess time to kidney failure using Mayo HtTKV class as a predictor variable.

RESULTS: We analyzed 618 patients with a mean age of 47 ± 11 years and mean eGFR of 64 ± 25 ml/min/1.73m2 at baseline. Most patients (82%) remained in their baseline Mayo HtTKV class. During a mean follow-up of 5.1 ± 2.2 years, the mean TKV growth rates and eGFR decline were 5.33 ± 3.90 %/year and -3.31 ± 2.53 ml/min/1.73m2/year, respectively. Kidney growth and eGFR decline showed considerable overlap between the classes. The observed annual eGFR decline was not significantly different from the predicted values for classes 1A, 1B, 1C, and 1D but significantly slower for class 1E. This was also observed in patients aged <40 and >60 years and those with PKD2 mutations. A polynomial model allowing non-linear eGFR decline provided more accurate slope predictions. Ninety-seven patients (16%) developed kidney failure during follow-up. The classification predicted the development of kidney failure, although the sensitivity and positive predictive values were limited.

CONCLUSION: The MIC demonstrated acceptable stability and generally predicted kidney failure and eGFR decline rate. However, there was marked interindividual variability in the rate of disease progression within each class.

Originele taal-2English
TijdschriftClinical Journal of the American Society of Nephrology
DOI's
StatusE-pub ahead of print - 26-feb.-2024

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