Sheila Bermejo , Ester González , Katia López-Revuelta , Meritxell Ibernon , Diana López , Adoración Martín-Gómez , Rosa Garcia-Osuna , Tania Linares , Montserrat Díaz , Nàdia Martín , Xoana Barros , Helena Marco , Maruja Isabel Navarro , Noemí Esparza , Sandra Elias , Ana Coloma , Nicolás Roberto Robles , Irene Agraz , Esteban Poch , Lida Rodas , María José Soler
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引用次数: 0
Abstract
Aims
Kidney biopsy is increasing in patients with diabetes and around 50–60% of patients with diabetes have non-diabetic kidney disease (NDKD). Identifying NDKD is crucial since these patients have a better renal prognosis and survival compared to patients with diabetic nephropathy (DN). The objective of this study is to provide a clinical practice tool for through a predictive model of NDKD.
Material and methods
Observational and multicenter Spanish study of the pathological results of kidney biopsies in patients with diabetes from 2002 to 2014. A logistic regression analysis and the probability of presenting NDKD was calculated using a punctuation score.
Results
A total of 832 patients with diabetes and renal biopsy were analyzed. An accurate risk-predictive model for NDKD was developed with five top-ranked non-invasive clinical variables (age, serum creatinine, presence of diabetic retinopathy, microhematuria and peripheral vascular disease) obtaining a score for each one allowing for a proper prediction of NDKD.
Conclusions
In our study, we developed a risk-stratification score to calculate the probability of NDKD. This could be in a next future a useful tool for the clinical indication of renal biopsy in patients with diabetes and kidney disease.