A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study

IF 2 4区 医学 Q2 UROLOGY & NEPHROLOGY
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.
糖尿病合并慢性肾病患者非糖尿病肾病的预测模型西班牙多中心研究
糖尿病患者的肾活检越来越多,约50-60%的糖尿病患者患有非糖尿病性肾病(NDKD)。鉴别NDKD至关重要,因为与糖尿病肾病(DN)患者相比,这些患者有更好的肾脏预后和生存。本研究的目的是通过NDKD的预测模型提供临床实践工具。材料与方法对西班牙2002 - 2014年糖尿病患者肾活检病理结果进行观察性多中心研究。逻辑回归分析和呈现NDKD的概率使用标点符号评分计算。结果共分析832例糖尿病合并肾活检患者。建立了一个准确的NDKD风险预测模型,其中包括5个排名靠前的非侵入性临床变量(年龄、血清肌酐、糖尿病视网膜病变、微血尿和周围血管疾病),并对每个变量进行评分,从而正确预测NDKD。在我们的研究中,我们建立了一个风险分层评分来计算NDKD的概率。这可能是未来糖尿病和肾脏疾病患者肾活检临床指征的有用工具。
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来源期刊
Nefrologia
Nefrologia 医学-泌尿学与肾脏学
CiteScore
3.40
自引率
7.70%
发文量
148
审稿时长
47 days
期刊介绍: Nefrología is the official publication of the Spanish Society of Nephrology. The Journal publishes articles on basic or clinical research relating to nephrology, arterial hypertension, dialysis and kidney transplants. It is governed by the peer review system and all original papers are subject to internal assessment and external reviews. The journal accepts submissions of articles in English and in Spanish languages.
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