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Sun Y, Ren Y, Lan P, Yu X, Feng J, Hao D, Xie L. Clinico-pathological features of diabetic and non-diabetic renal diseases in type 2 diabetic patients: a retrospective study from a 10-year experience in a single center. Int Urol Nephrol 2023; 55:2303-2312. [PMID: 36879071 PMCID: PMC10406681 DOI: 10.1007/s11255-023-03478-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 01/19/2023] [Indexed: 03/08/2023]
Abstract
AIM To compare clinical and pathological characteristics as well as prognosis between diabetic nephropathy (DN) and non-diabetic renal disease (NDRD) so as to explore potential diagnostic criteria of DN and provide some guidance for the treatment of type 2 diabetes mellitus (T2DM) patients with kidney involvement. METHODS T2DM patients with renal impairment who underwent kidney biopsy were included in this study, who were classified into 3 groups (DN, NDRD, DN with NDRD) based on their renal pathological diagnosis. Baseline clinical characteristics as well as follow-up data were collected and analyzed among 3 groups. Logistic regression was performed to determine the best predictors for DN diagnosis. Additional 34 MN patients without diabetes were enrolled by propensity score matching method to compare serum PLA2R antibody titer and kidney outcomes between diabetic MN patients and MN alone. RESULTS Among 365 patients with type 2 diabetes who underwent kidney biopsy, 179 (49.0%) patients were diagnosed with NDRD alone and 37 (10.1%) patients with NDRD combined DN. Risk factors for DN development in T2DM patients were longer time since diabetes diagnosis, higher level of serum creatinine, absence of hematuria and presence of diabetic retinopathy by multivariate analysis. Lower rate of proteinuria remission and higher risk of renal progression were observed in DN group compared with NDRD group. Membranous nephropathy was the most common NDRD in diabetic patients. There was no difference in serum PLA2R antibody positiveness or titer between MN patients with or without T2DM. There was lower remission rate but similar renal progression in diabetic MN when age, gender, baseline eGFR, albuminuria and IFTA score were adjusted. CONCLUSIONS Non-diabetic renal disease is not uncommon in T2DM patients with renal impairment, which has better prognosis with proper treatment. Coexisting diabetic status does not exert negative impact on renal progression in MN patients, and immunosuppressive agents should be administered when necessary.
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Affiliation(s)
- Yuemeng Sun
- Department of Nephrology, Xi'an People's Hospital (Xi'an Forth Hospital), Xincheng District Jiefang Road 21, Xi'an, 710001, Shannxi, China
| | - Yawei Ren
- Department of Nephrology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western road 227, Xi'an, 710061, Shaanxi, China
| | - Ping Lan
- Department of Nephrology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western road 227, Xi'an, 710061, Shaanxi, China
| | - Xiaoyang Yu
- Department of Nephrology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western road 227, Xi'an, 710061, Shaanxi, China
| | - Jie Feng
- Department of Nephrology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western road 227, Xi'an, 710061, Shaanxi, China
| | - Dapeng Hao
- Department of Nephrology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western road 227, Xi'an, 710061, Shaanxi, China
| | - Liyi Xie
- Department of Nephrology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western road 227, Xi'an, 710061, Shaanxi, China.
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Lucarelli N, Yun D, Han D, Ginley B, Moon KC, Rosenberg AZ, Tomaszewski JE, Zee J, Jen KY, Han SS, Sarder P. Discovery of Novel Digital Biomarkers for Type 2 Diabetic Nephropathy Classification via Integration of Urinary Proteomics and Pathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.28.23289272. [PMID: 37205413 PMCID: PMC10187347 DOI: 10.1101/2023.04.28.23289272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Background The heterogeneous phenotype of diabetic nephropathy (DN) from type 2 diabetes complicates appropriate treatment approaches and outcome prediction. Kidney histology helps diagnose DN and predict its outcomes, and an artificial intelligence (AI)-based approach will maximize clinical utility of histopathological evaluation. Herein, we addressed whether AI-based integration of urine proteomics and image features improves DN classification and its outcome prediction, altogether augmenting and advancing pathology practice. Methods We studied whole slide images (WSIs) of periodic acid-Schiff-stained kidney biopsies from 56 DN patients with associated urinary proteomics data. We identified urinary proteins differentially expressed in patients who developed end-stage kidney disease (ESKD) within two years of biopsy. Extending our previously published human-AI-loop pipeline, six renal sub-compartments were computationally segmented from each WSI. Hand-engineered image features for glomeruli and tubules, and urinary protein measurements, were used as inputs to deep-learning frameworks to predict ESKD outcome. Differential expression was correlated with digital image features using the Spearman rank sum coefficient. Results A total of 45 urinary proteins were differentially detected in progressors, which was most predictive of ESKD (AUC=0.95), while tubular and glomerular features were less predictive (AUC=0.71 and AUC=0.63, respectively). Accordingly, a correlation map between canonical cell-type proteins, such as epidermal growth factor and secreted phosphoprotein 1, and AI-based image features was obtained, which supports previous pathobiological results. Conclusions Computational method-based integration of urinary and image biomarkers may improve the pathophysiological understanding of DN progression as well as carry clinical implications in histopathological evaluation.
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Affiliation(s)
- Nicholas Lucarelli
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Donghwan Yun
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dohyun Han
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Brandon Ginley
- The Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan NJ, USA
| | - Kyung Chul Moon
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Avi Z. Rosenberg
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - John E. Tomaszewski
- Department of Pathology and Anatomical Sciences, University at Buffalo – The State University of New York
| | - Jarcy Zee
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania and Children’s Hospital of Philadelphia, PA, USA
| | - Kuang-Yu Jen
- Department of Pathology and Laboratory Medicine, University of California, Davis Medical Center, CA, USA
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Pinaki Sarder
- Department of Medicine-Quantitative Health, University of Florida College of Medicine, Gainesville, FL, USA
- Department of Electrical and Computer Engineering, University of Florida College of Engineering, Gainesville, FL, USA
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Luo WM, Su JY, Xu T, Fang ZZ. Prevalence of Diabetic Retinopathy and Use of Common Oral Hypoglycemic Agents Increase the Risk of Diabetic Nephropathy-A Cross-Sectional Study in Patients with Type 2 Diabetes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4623. [PMID: 36901633 PMCID: PMC10001907 DOI: 10.3390/ijerph20054623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 02/08/2023] [Accepted: 03/01/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE This study investigated the effect of amino acid metabolism on the risk of diabetic nephropathy under different conditions of the diabetic retinopathy, and the use of different oral hypoglycemic agents. METHODS This study retrieved 1031 patients with type 2 diabetes from the First Affiliated Hospital of Liaoning Medical University in Jinzhou, which is located in Liaoning Province, China. We conducted a spearman correlation study between diabetic retinopathy and amino acids that have an impact on the prevalence of diabetic nephropathy. Logistic regression was used to analyze the changes of amino acid metabolism in different diabetic retinopathy conditions. Finally, the additive interaction between different drugs and diabetic retinopathy was explored. RESULTS It is showed that the protective effect of some amino acids on the risk of developing diabetic nephropathy is masked in diabetic retinopathy. Additionally, the additive effect of the combination of different drugs on the risk of diabetic nephropathy was greater than that of any one drug alone. CONCLUSIONS We found that diabetic retinopathy patients have a higher risk of developing diabetic nephropathy than the general type 2 diabetes population. Additionally, the use of oral hypoglycemic agents can also increase the risk of diabetic nephropathy.
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Development and validation of a novel nomogram to predict diabetic kidney disease in patients with type 2 diabetic mellitus and proteinuric kidney disease. Int Urol Nephrol 2023; 55:191-200. [PMID: 35870041 DOI: 10.1007/s11255-022-03299-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 07/07/2022] [Indexed: 01/05/2023]
Abstract
PURPOSE Differentiating between diabetic kidney disease (DKD) and non-diabetic kidney disease (NDKD) in patients with Type 2 diabetes mellitus (T2DM) is important due to implications on treatment and prognosis. Clinical methods to accurately distinguish DKD from NDKD are lacking. We aimed to develop and validate a novel nomogram to predict DKD in patients with T2DM and proteinuric kidney disease to guide decision for kidney biopsy. METHODS A hundred and two patients with Type 2 Diabetes Mellitus (T2DM) who underwent kidney biopsy from 1st January 2007 to 31st December 2016 were analysed. Univariate and multivariate analyses were performed to identify predictive variables and construct a nomogram. The discriminative ability of the nomogram was assessed by calculating the area under the receiver operating characteristic curve (AUROC), while calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test and calibration plot. Internal validation of the nomogram was assessed using bootstrap resampling. RESULTS Duration of T2DM, HbA1c, absence of hematuria, presence of diabetic retinopathy and absence of positive systemic biomarkers were found to be independent predictors of DKD in multivariate analysis and were represented as a nomogram. The nomogram showed excellent discrimination, with a bootstrap-corrected C statistic of 0.886 (95% CI 0.815-0.956). Both the calibration curve and the Hosmer-Lemeshow goodness-of-fit test (p = 0.242) showed high degree of agreement between the prediction and actual outcome, with the bootstrap bias-corrected curve similarly indicating excellent calibration. CONCLUSIONS A novel nomogram incorporating 5 clinical parameters is useful in predicting DKD in type 2 diabetes mellitus patients with proteinuric kidney disease.
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Whether Renal Pathology Is an Independent Predictor for End-Stage Renal Disease in Diabetic Kidney Disease Patients with Nephrotic Range Proteinuria: A Biopsy-Based Study. J Clin Med 2022; 12:jcm12010088. [PMID: 36614886 PMCID: PMC9820945 DOI: 10.3390/jcm12010088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/09/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
Aims: To investigate whether renal pathology is an independent predictor for end-stage renal disease (ESRD) in diabetic kidney diseases (DKD) with nephrotic range proteinuria. Methods: A total of 199 DKD patients with nephrotic range proteinuria underwent renal biopsy and were divided into an ESRD group and a non-ESRD group. A Kaplan−Meier analysis was used to compare renal survival rate, and univariate and multivariate Cox proportional hazard analyses were used to determine the predictors of the ESRD. Results: The mean age of included patients was 51.49 ± 9.12 years and 113 patients (56.8%) progressed to ESRD. The median follow-up period was 16 (12−28) months. The glomerular pathology class III is the most common type (54.3%). In the Kaplan−Meier analysis, compared with patients without ESRD, patients with ESRD had a longer duration of diabetes (≥6 years), lower eGFR (<60 mL/min/1.73 m2), lower albumin (<30 g/L), lower hemoglobin (<120 g/L), and a higher grade of glomerular stage (class III + IV vs. class I + II) (p < 0.05). The hemoglobin and e-GFR, but not the histopathological damage, were significantly associated with a higher risk of ESRD in both the univariate and multivariate Cox analyses. Conclusions: In patients with diabetic kidney disease characterized by nephrotic range proteinuria, histopathological damage (glomerular alterations, interstitial fibrosis and tubular atrophy (IFTA), interstitial inflammation, and arteriolar hyalinosis) is not associated with poor renal outcomes, but hemoglobin and e-GFR could predict poor renal outcomes.
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Godara S, Saraf KK. Rare Case of C3 Glomerulopathy in a Patient of Type 1 Diabetes Mellitus. SAUDI JOURNAL OF KIDNEY DISEASES AND TRANSPLANTATION 2022; 33:S83-S86. [PMID: 37102528 DOI: 10.4103/1319-2442.374385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2023] Open
Abstract
Complement component 3 glomerulopathy (C3G) is a recently defined entity comprising dense deposit disease and C3 glomerulonephritis. It is associated with nonrenal diseases such as diabetes mellitus (DM) type 1, ocular drusen, acquired partial lipodystrophy, and monoclonal gammopathy of undetermined significance. We describe a case of 13-year-old boy of the known case of type 1 DM, who developed proteinuria, and swelling over his face, and lower limbs, which on renal biopsy, was diagnosed as a case of C3G.
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Affiliation(s)
- Suraj Godara
- Department of Nephrology, Mahatma Gandhi Hospital, Jaipur, Rajasthan, India
| | - Karan Kumar Saraf
- Department of Nephrology, Mahatma Gandhi Hospital, Jaipur, Rajasthan, India
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Zhang W, Liu X, Dong Z, Wang Q, Pei Z, Chen Y, Zheng Y, Wang Y, Chen P, Feng Z, Sun X, Cai G, Chen X. New Diagnostic Model for the Differentiation of Diabetic Nephropathy From Non-Diabetic Nephropathy in Chinese Patients. Front Endocrinol (Lausanne) 2022; 13:913021. [PMID: 35846333 PMCID: PMC9279696 DOI: 10.3389/fendo.2022.913021] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/20/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The disease pathology for diabetes mellitus patients with chronic kidney disease (CKD) may be diabetic nephropathy (DN), non-diabetic renal disease (NDRD), or DN combined with NDRD. Considering that the prognosis and treatment of DN and NDRD differ, their differential diagnosis is of significance. Renal pathological biopsy is the gold standard for diagnosing DN and NDRD. However, it is invasive and cannot be implemented in many patients due to contraindications. This article constructed a new noninvasive evaluation model for differentiating DN and NDRD. METHODS We retrospectively screened 1,030 patients with type 2 diabetes who has undergone kidney biopsy from January 2005 to March 2017 in a single center. Variables were ranked according to importance, and the machine learning methods (random forest, RF, and support vector machine, SVM) were then used to construct the model. The final model was validated with an external group (338 patients, April 2017-April 2019). RESULTS In total, 929 patients were assigned. Ten variables were selected for model development. The areas under the receiver operating characteristic curves (AUCROCs) for the RF and SVM methods were 0.953 and 0.947, respectively. Additionally, 329 patients were analyzed for external validation. The AUCROCs for the external validation of the RF and SVM methods were 0.920 and 0.911, respectively. CONCLUSION We successfully constructed a predictive model for DN and NDRD using machine learning methods, which were better than our regression methods. CLINICAL TRIAL REGISTRATION ClinicalTrial.gov, NCT03865914.
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Affiliation(s)
- WeiGuang Zhang
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - XiaoMin Liu
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - ZheYi Dong
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Qian Wang
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - ZhiYong Pei
- Beijing Computing Center, Beike Industry, Yongfeng Industrial Base, Beijing, China
| | - YiZhi Chen
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
- Department of Nephrology, Hainan Hospital of Chinese PLA General Hospital, the Hainan Academician Team Innovation Center, Sanya, China
| | - Ying Zheng
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Yong Wang
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Pu Chen
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Zhe Feng
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - XueFeng Sun
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Guangyan Cai
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
- *Correspondence: XiangMei Chen, ; Guangyan Cai,
| | - XiangMei Chen
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
- *Correspondence: XiangMei Chen, ; Guangyan Cai,
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Jing N, Pan M, Song Y, Guo F, Zhang H, Wang J, Cao Z, Liu S, Wu L, Ji H, Huang F, Ding X, Qi C, Huang S, Yang X, Zhang L, Song C, Qin G, Zhao Y. Renal outcomes and prognostic factors in patients with type-2 diabetes and chronic kidney disease confirmed by renal biopsy. Ther Adv Chronic Dis 2021; 12:20406223211052388. [PMID: 34729158 PMCID: PMC8543721 DOI: 10.1177/20406223211052388] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 09/23/2021] [Indexed: 11/16/2022] Open
Abstract
Aim To evaluate the renal outcomes and prognostic factors among patients with type-2 diabetes (T2D) and biopsy-confirmed diabetic nephropathy (DN), non-diabetic renal disease (NDRD) and DN mixed with NDRD (MIX). Design and Methods Patients with both T2D and chronic kidney disease (CKD) who underwent renal biopsy between January 2014 and December 2016 were recruited in this prospective observational study. Participants were divided into DN group, NDRD group, or MIX group according to the baseline pathological diagnosis. The primary endpoint was a composite renal event of end-stage renal disease (ESRD) or ⩾ 40% reduction in estimated glomerular filtration rate (eGFR). Results Among the 292 participants included, 153 (52.4%) belonged to the DN group, 30 (10.3%) belonged to the NDRD group, and 109 (37.3%) belonged to the MIX group. During the median follow-up of 27 months, the adverse renal events occurred in 132 (44.2%) patients. Compared with NDRD group, the multiple adjusted hazard ratios (HRs) for renal events in patients with DN and MIX groups were 3.900 (95% confidence interval [CI]: 1.103-13.788) and 2.691 (95% CI: 0.662-10.936), respectively. Baseline lower eGFR (HR: 1.159, 95% CI: 1.060-1.266), severe proteinuria (HR: 2.047, 95% CI: 1.227-3.416), lower hemoglobin (HR: 1.170, 95% CI: 1.008-1.267), and a family history of diabetes (HR: 1.138, 95% CI: 1.008-2.285) were independent predictors for adverse renal outcomes in patients with DN. Conclusion In patients with T2D and CKD, pure DN and MIX group displayed a worse renal prognosis than NDRD group. Worse renal function, severe proteinuria, lower hemoglobin, and a family history of diabetes may be associated with adverse renal outcomes in patients with DN.
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Affiliation(s)
- Na Jing
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengxing Pan
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yi Song
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feng Guo
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Haohao Zhang
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiao Wang
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhe Cao
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shiyu Liu
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lina Wu
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongfei Ji
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fengjuan Huang
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoxu Ding
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chang Qi
- Department of Clinical Medicine, The Medical College of Zhengzhou University, Zhengzhou, China
| | - Sen Huang
- Department of Clinical Medicine, The Medical College of Zhengzhou University, Zhengzhou, China
| | - Xinyu Yang
- Department of Clinical Medicine, The Medical College of Zhengzhou University, Zhengzhou, China
| | - Li Zhang
- Department of Clinical Medicine, The Medical College of Zhengzhou University, Zhengzhou, China
| | - Chunhua Song
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanyan Zhao
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou 450052, Henan, China
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Li Y, Su X, Ye Q, Guo X, Xu B, Guan T, Chen A. The predictive value of diabetic retinopathy on subsequent diabetic nephropathy in patients with type 2 diabetes: a systematic review and meta-analysis of prospective studies. Ren Fail 2021; 43:231-240. [PMID: 33478336 PMCID: PMC7833016 DOI: 10.1080/0886022x.2020.1866010] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
This systematic review and meta-analysis aimed to assess the predictive value of diabetic retinopathy (DR) on further diabetic nephropathy (DN) risk in patients with type 2 diabetes (T2D) based on the prospective cohort studies. PubMed, Embase, and the Cochrane Library were systematically searched for eligible prospective cohort studies through March 2020. The predictive value of DR was assessed using sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the receiver operating characteristic curve (AUC) through the bivariate generalized linear mixed model and the random-effects model. Ten prospective cohort studies recruited 635 patients with T2D. The pooled sensitivity and specificity of DR for predicted DN were noted to be 0.64 (95% CI, 0.54–0.73) and 0.77 (95% CI, 0.60–0.88), respectively. The pooled PLR and NLR of DR for predicted DN were 2.72 (95% CI, 1.42–5.19) and 0.47 (95% CI, 0.33–0.67), respectively. The summary DOR for the relationship between DR and subsequent DN for T2D patients was 5.53 (95% CI, 2.00–15.30), and the AUC of DR for predicted DN was 0.73 (95% CI, 0.69–0.77). This study found significant associations between DR and subsequent DN risk for patients with T2D. Moreover, the predictive value of DR on subsequent DN risk was relatively lower.
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Affiliation(s)
- Yu Li
- Division of Nephrology, Zhongshan Hospital, Xiamen University, Xiamen, PR China
| | - Xiaoxuan Su
- Division of Nephrology, Zhongshan Hospital, Xiamen University, Xiamen, PR China
| | - Qing Ye
- Division of Nephrology, Zhongshan Hospital, Xiamen University, Xiamen, PR China
| | - Xiaodan Guo
- Division of Nephrology, Zhongshan Hospital, Xiamen University, Xiamen, PR China
| | - Bo Xu
- Division of Nephrology, Zhongshan Hospital, Xiamen University, Xiamen, PR China
| | - Tianjun Guan
- Division of Nephrology, Zhongshan Hospital, Xiamen University, Xiamen, PR China.,Teaching Hospital of Fujian Medical University, Xiamen, PR China
| | - Anqun Chen
- Division of Nephrology, Zhongshan Hospital, Xiamen University, Xiamen, PR China
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Phillips J, Chen JHC, Ooi E, Prunster J, Lim WH. Global Epidemiology, Health Outcomes, and Treatment Options for Patients With Type 2 Diabetes and Kidney Failure. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2021; 2:731574. [PMID: 36994340 PMCID: PMC10012134 DOI: 10.3389/fcdhc.2021.731574] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 07/29/2021] [Indexed: 12/15/2022]
Abstract
The burden of type 2 diabetes and related complications has steadily increased over the last few decades and is one of the foremost global public health threats in the 21st century. Diabetes is one of the leading causes of chronic kidney disease and kidney failure and is an important contributor to the cardiovascular morbidity and mortality in this population. In addition, up to one in three patients who have received kidney transplants develop post-transplant diabetes, but the management of this common complication continues to pose a significant challenge for clinicians. In this review, we will describe the global prevalence and temporal trend of kidney failure attributed to diabetes mellitus in both developing and developed countries. We will examine the survival differences between treated kidney failure patients with and without type 2 diabetes, focusing on the survival differences in those on maintenance dialysis or have received kidney transplants. With the increased availability of novel hypoglycemic agents, we will address the potential impacts of these novel agents in patients with diabetes and kidney failure and in those who have developed post-transplant diabetes.
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Affiliation(s)
- Jessica Phillips
- Department of Renal Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
- *Correspondence: Jessica Phillips,
| | - Jenny H. C. Chen
- School of Medicine, University of Wollongong, Wollongong, NSW, Australia
- Depatment of Nephrology, Wollongong Hospital, Wollongong, NSW, Australia
| | - Esther Ooi
- School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia
| | - Janelle Prunster
- Department of Renal Medicine, Cairns Hospital, Cairns, QLD, Australia
| | - Wai H. Lim
- Department of Renal Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
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Chemouny JM, Bobot M, Sannier A, Maisons V, Jourde-Chiche N, Ferriere E, Joly D, Vigneau C, Rioux-Leclercq N, Barba C, Daniel L, Halimi JM, Vrtovsnik F. Kidney Biopsy in Type 2 Diabetes: A Multicenter Cross-Sectional Study. Am J Nephrol 2021; 52:131-140. [PMID: 33780924 DOI: 10.1159/000514259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 12/28/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Kidney biopsies (KBs) are performed in patients with type 2 diabetes (T2D) to diagnose non-diabetic or hypertensive kidney disease (NDHKD) potentially requiring specific management compared to diabetic and or hypertensive nephropathy (absence of NDHKD). Indications for KB are based on the presence of atypical features compared to the typical course of diabetic nephropathy. In this study, we assessed the association of different patterns of atypical features, or KB indications, with NDHKD. METHODS Native KBs performed in patients with T2D were analyzed. Data were collected from the patients' records. KB indications were determined according to the presence of different atypical features considered sequentially: (1) presence of any feature suggesting NDHKD which is not among the following ones, (2) recent onset of nephrotic syndrome, (3) low or rapidly declining estimated glomerular filtration rate (eGFR), (4) rapid increase in proteinuria, (5) short duration of diabetes, (6) presence of hematuria, or (7) normal retinal examination. RESULTS Among the 463 KBs analyzed, NDHKD was diagnosed in 40% of the total population and 54, 40, 24, and 7% of the KBs performed for indications 1-4 respectively. Conversely, no patient who underwent KB for indications 5-7 displayed NDHKD. Logistic regression analyses identified eGFRCKD-EPI >15 mL/min/1.73 m2, urinary protein-to-Cr ratio <0.3 g/mmol, hematuria, HbA1c <7%, and diabetes duration <5 years as predictors of NDHKD, independently from the indication group. CONCLUSION NDHKD is frequent in T2D. Despite the association of hematuria with NDHKD, our results suggest that presence of hematuria and absence of DR are insufficient to indicate KB in the absence of concurrent atypical features. Conversely, rapid progression of proteinuria and rapid deterioration of eGFR are major signals of NDHKD.
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Affiliation(s)
- Jonathan M Chemouny
- CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, Environnement et Travail) - UMR_S 1085, CIC-P 1414 (Centre d'Investigation Clinique), Univ Rennes, Rennes, France
| | - Mickaël Bobot
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
- AP-HM, Centre de Néphrologie et Transplantation Rénale, Hôpital de la Conception, Marseille, France
| | - Aurélie Sannier
- Laboratoire d'Anatomie et Cytologie Pathologiques, AP-HP, Hôpital Bichat-Claude Bernard, Paris, France
- Université de Paris, Paris, France
| | - Valentin Maisons
- CHU Tours, Service de Néphrologie et d'Immunologie Clinique, Tours, France
| | - Noémie Jourde-Chiche
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
- AP-HM, Centre de Néphrologie et Transplantation Rénale, Hôpital de la Conception, Marseille, France
| | - Elsa Ferriere
- Service de Néphrologie, Faculté de Médecine, Hôpital Necker-Enfants Malades, Assistance Publique - Hôpitaux de Paris, Université Paris-Descartes, Paris, France
| | - Dominique Joly
- Service de Néphrologie, Faculté de Médecine, Hôpital Necker-Enfants Malades, Assistance Publique - Hôpitaux de Paris, Université Paris-Descartes, Paris, France
| | - Cécile Vigneau
- CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, Environnement et Travail) - UMR_S 1085, Univ Rennes, Rennes, France
| | - Nathalie Rioux-Leclercq
- CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, Environnement et Travail) - UMR_S 1085, Univ Rennes, Rennes, France
| | - Christophe Barba
- Service de Néphrologie, Hôpital Bichat-Claude Bernard, AP-HP, DHU Fire, Paris, France
| | - Laurent Daniel
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
- AP-HM, Laboratoire d'Anatomopathologie, Hôpital de la Timone, Marseille, France
| | - Jean-Michel Halimi
- CHU Tours, Service de Néphrologie et d'Immunologie Clinique, Tours, France
- Université de Tours, INI-CRCT, Tours, France
| | - Francois Vrtovsnik
- Université de Paris, Paris, France
- Service de Néphrologie, Hôpital Bichat-Claude Bernard, AP-HP, DHU Fire, Paris, France
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Kaya B, Paydas S, Kuzu T, Basak Tanburoglu D, Balal M, Eren Erdogan K, Gonlusen G. Primary glomerulonephritis in diabetic patients. Int J Clin Pract 2021; 75:e13713. [PMID: 32955768 DOI: 10.1111/ijcp.13713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 09/11/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Primary glomerulonephritis (PGN) has a significant part in non-diabetic kidney disease (NDKD) in diabetes mellitus (DM) patients. In our study, we compared the clinical, demographic and laboratory features of patients with biopsy-proven diabetic nephropathy (DN) and PGN with type 2 DM. METHODS In our retrospective study, type 2 DM patients who underwent kidney biopsy between 2011 and 2019 were included. Demographic, clinical and laboratory characteristics of DN and PGN patients were compared. RESULTS Seventy patients with a mean age of 55.7 ± 9.4 and 43 (61.4%) males were included. About 38 (54.3%) of the patients had DN and 32 (45.7%) had PGN. In the PGN, membranous GN (20, 62.5%) was most common. In DN patients, diabetes duration was longer; complications such as retinopathy, neuropathy, hypertension, coronary artery disease, heart failure were more frequent. At the time of renal biopsy, blood sugar, HbA1C, blood pressure, serum albumin and proteinuria values were similar in two groups. The pathological damage findings of kidney biopsy in DN patients were more severe. In the first year after kidney biopsy decrease in eGFR was higher in DN patients, whereas eGFR did not change in PGN patients. CONCLUSION In a diabetic patient, fasting blood sugar, hbA1C, serum albumin and proteinuria did not differ in the differential diagnosis of DN and PGN, whereas complications of DM (retinopathy, neuropathy, hypertension, coronary artery disease) were more characteristic in differentiation. Detection of PGN in a diabetic patient is crucial for the success of the treatment, according to DN.
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Affiliation(s)
- Bulent Kaya
- Department of Nephrology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Saime Paydas
- Department of Nephrology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Tolga Kuzu
- Department of Nephrology, Cukurova University Faculty of Medicine, Adana, Turkey
| | | | - Mustafa Balal
- Department of Nephrology, Cukurova University Faculty of Medicine, Adana, Turkey
| | | | - Gulfiliz Gonlusen
- Department of Pathology, Cukurova University Faculty of Medicine, Adana, Turkey
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Di Paolo S, Fiorentino M, De Nicola L, Reboldi G, Gesualdo L, Barutta F, Natali A, Penno G, Fioretto P, Pugliese G. Indications for renal biopsy in patients with diabetes. Joint position statement of the Italian Society of Nephrology and the Italian Diabetes Society. Nutr Metab Cardiovasc Dis 2020; 30:2123-2132. [PMID: 33239162 DOI: 10.1016/j.numecd.2020.09.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 09/10/2020] [Indexed: 12/31/2022]
Abstract
AIMS This joint document of the Italian Society of Nephrology and the Italian Diabetes Society reviews the main indications to perform a renal biopsy in diabetic patients, according to the recommendations of a panel of experts based on all available scientific evidence. DATA SYNTHESIS Renal biopsy has a pivotal role in assessing the nature and severity of renal injury in patients with diabetic kidney disease (DKD). The procedure is mandatory in the presence of one of more of the following features: rapid onset or progression of albuminuria or sudden onset of nephrotic syndrome, rapid GFR decline with or without albuminuria, hematuria, active urine sediment, clinical and/or laboratory suspicion of other systemic diseases, and, in patients with type 1 diabetes, short diabetes duration and absence of retinopathy. Indeed, ~40% of diabetic individuals with kidney injury undergoing renal biopsy are affected by a non-diabetic renal disease (NDRD). Furthermore, the histological evaluation of patients with suspected classical diabetic nephropathy allows to define the extent of glomerular, tubulo-interstitial and vascular lesions, thus providing important prognostic (and potentially therapeutic) data. In the future, the indications for renal biopsy might be extended to the definition of the histological lesions underlying the "nonalbuminuric" DKD phenotypes, as well as to the evaluation of the response to treatment with the new anti-hyperglycemic drugs that provide cardiorenal protection. CONCLUSIONS In view of the heterogeneous clinical presentation and course of DKD and of the related heterogeneous histopathological patterns, a more extensive use of renal biopsy may be crucial to provide valuable information with important pathogenic, diagnostic, prognostic, and therapeutic implications.
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Affiliation(s)
| | | | - Luca De Nicola
- Nephrology and Dialysis Unit, Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Loreto Gesualdo
- Department of Emergency and Organ Transplantation, "Aldo Moro" University, Bari, Italy; Nephrology, Dialysis and Transplantation Unit, "Policlinico" University Hospital, Bari, Italy
| | - Federica Barutta
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Andrea Natali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; Unit of Internal Medicine, University Hospital, Pisa, Italy
| | - Giuseppe Penno
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; Diabetes Unit, University Hospital, Pisa, Italy
| | - Paola Fioretto
- Department of Medicine, University of Padua, Padua, Italy; Unit of Medical Clinic 3, Hospital of Padua, Padua, Italy
| | - Giuseppe Pugliese
- Department of Clinical and Molecular Medicine, "La Sapienza" University, Rome, Italy; Endocrine and Metabolic Unit, Sant'Andrea University Hospital, Rome, Italy
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Sanghavi SF, Roark T, Zelnick LR, Najafian B, Andeen NK, Alpers CE, Pichler R, Ayers E, de Boer IH. Histopathologic and Clinical Features in Patients with Diabetes and Kidney Disease. KIDNEY360 2020; 1:1217-1225. [PMID: 35372867 PMCID: PMC8815499 DOI: 10.34067/kid.0003962020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 09/02/2020] [Indexed: 06/14/2023]
Abstract
BACKGROUND The discovery of nondiabetic kidney disease (NDKD) in an individual patient with diabetes may have significant treatment implications. Extensive histopathologic data in this population are lacking, but they may provide insights into the complex pathogenesis of diabetic nephropathy (DN) and reveal specific phenotypes for the development of targeted therapies. This study seeks to elucidate the clinical and laboratory parameters associated with the spectrum of kidney histopathologic features in patients with diabetes. METHODS This study is a retrospective analysis of 399 kidney biopsies assessed from 2014 to 2016 at the University of Washington among patients with diabetes. More comprehensive clinical data were evaluated in a subset of 79 participants. RESULTS Of the 399 biopsies reviewed, 192 (48%) had a primary diagnosis of DN (including 26 with an additional diagnosis), and 207 (52%) had a primary diagnosis of NDKD (including 67 who also had DN). Retinopathy (sensitivity: 0.86; specificity: 0.81; OR, 27.1; 95% CI, 6.8 to 107.7) and higher levels of proteinuria (7.6 versus 4.1 g/d; P=0.004) were associated with DN, whereas a physician description of AKI was associated with a lower risk of DN (OR, 0.13; 95% CI, 0.04 to 0.38). The four most prevalent diagnoses in participants with NDKD were FSGS in 39, nephrosclerosis in 29, IgA nephropathy in 27, and acute tubular injury in 21. CONCLUSIONS Among patients with diabetes who undergo kidney biopsy in the Pacific Northwest, approximately half have DN, and half have NDKD. Retinopathy and more severe proteinuria were associated with DN, and AKI was a more common descriptor in NDKD.Podcast: This article contains a podcast at https://www.asnonline.org/media/podcast/K360/2020_11_25_KID0003962020.mp3.
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Affiliation(s)
- Sarah F. Sanghavi
- Division of Nephrology, Department of Medicine, Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Travis Roark
- Department of Internal Medicine, Scripps Clinic, Scripps Health, San Diego, California
| | - Leila R. Zelnick
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Behzad Najafian
- Department of Pathology, University of Washington, Seattle, Washington
| | - Nicole K. Andeen
- Department of Pathology, Oregon Health & Science University, Portland, Oregon
| | - Charles E. Alpers
- Department of Pathology, University of Washington, Seattle, Washington
| | - Raimund Pichler
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
| | - Ernest Ayers
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Ian H. de Boer
- Division of Nephrology, Department of Medicine, Veterans Affairs Puget Sound Health Care System, Seattle, Washington
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington
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Non-diabetic glomerular lesions in diabetic kidney disease: clinical predictors and outcome in an Eastern European cohort. Int Urol Nephrol 2020; 53:739-747. [PMID: 33128721 DOI: 10.1007/s11255-020-02681-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 10/12/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE Since patients' prognosis depends on the lesions identified by kidney biopsy (KB), we aimed to evaluate predictors of non-diabetic kidney disease (NDKD) in diabetic subjects and to assess their kidney outcome as compared to diabetic nephropathy (DN). METHODS 180 adults diagnosed by KB with DN (n = 120) or NDKD (n = 60), over a 10 year time-span, were retrospectively included and followed for a mean of 48.1 (95% CI 43.1-53.1) months. Patients with superimposed specific lesions over DN and with steroid-induced diabetes were excluded. The primary endpoint was renal replacement therapy (RRT) initiation. Only subjects who were alive at the end of follow-up (73 with DN and 38 with NDKD) entered the kidney survival analysis. RESULTS Membranous nephropathy (9%) was the most common NDKD. Predictors for NDKD were shorter duration of diabetes (OR 0.88; 95% CI 0.81-0.96, p = 0.004), absence of diabetic retinopathy (OR 0.08; 95% CI 0.01-0.44, p = 0.003), and nephrotic syndrome at presentation (OR 3.55; 95% CI 1.39-9.04, p = 0.008). Subjects with NDKD needed RRT later as those with DN [82 (95% CI 67-97.1) vs. 45 (95% CI 34-56.5) months, p = 0.001]. In an adjusted Cox model, biopsy diagnosed DN independently predicted RRT (OR 4.43; 95% CI 1.54-12.7, p = 0.006). Other predictors were lower eGFR, higher proteinuria, and absence of renin-angiotensin inhibitor therapy. CONCLUSION As one-third of the investigated subjects had NDKD, and NDKD was associated with a better kidney survival, independently predicted by the type of glomerular lesion, KB appears the most reliable tool to guide therapy and to assess outcome in patients with diabetic kidney disease.
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Li M, Li CM, Ye ZC, Rao JL, Peng H, Lou TQ. A retrospective cohort study on the pathology and outcomes of type 2 diabetic patients with renal involvement. Int Urol Nephrol 2020; 53:333-341. [PMID: 33021708 DOI: 10.1007/s11255-020-02657-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/14/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To investigate the association of clinical and histological characteristics and the development of ESRD in T2DM patients with renal involvement. METHODS We conducted a retrospective analysis of clinical and pathologic data from T2DM patients who underwent renal biopsy (n = 120). RESULTS The mean age, duration of diabetes, and eGFR were 50.9 ± 11.2 years, 92.8 ± 41.3 months, 55.1 ± 42.3 mL/min/1.73 m2, respectively. Among these patients, 57 (47.5%) were diagnosed with diabetic nephropathy (DN), and 63 (52.5%) with non-diabetic renal disease (NDRD). The most common subtype of NDRD is membranous nephropathy. Compared with the NDRD group, the DN group had a longer duration of diabetes, worse renal function, and a higher proportion of diabetic retinopathy. Kaplan-Meier analysis showed that the 5-year renal survival rate of the DN group was only 41%, whereas that of the NDRD group was 84%. ESRD was defined as eGFR below 15 mL/min/1.73 m2. After multivariate adjustment, the risk of ESRD in DN patients was 3.81 times higher than that in NDRD patients. According to Glomerular Class, the 5-year renal survival rate of type IIA, IIB, III, and IV in the DN group was 88, 56, 28, and 15%, respectively. Kaplan-Meier analysis showed that there was a significant difference in renal survival among different glomerular classes or different interstitial fibrosis and tubular atrophy (IFTA) scores. But Cox proportional hazards analysis indicated that only IFTA score (HR 2.75, 95% CI 1.37-5.51, P = 0.001), but not the glomerular class (HR 1.21, 95% CI 0.73-2.00, P = 0.465), could predict renal outcome when adjusting for multivariate. CONCLUSION The prognosis of DN patients is significantly worse than that of NDRD patients. Compared with glomerular lesions, tubulointerstitial lesions were associated with higher risk for renal death in DN patients.
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Affiliation(s)
- Ming Li
- Department of Nephrology, The Third Affiliated Hospital of Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, PR China
| | - Can-Ming Li
- Department of Nephrology, The Third Affiliated Hospital of Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, PR China
| | - Zeng-Chun Ye
- Department of Nephrology, The Third Affiliated Hospital of Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, PR China
| | - Jia-Ling Rao
- Department of Nephrology, The Third Affiliated Hospital of Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, PR China
| | - Hui Peng
- Department of Nephrology, The Third Affiliated Hospital of Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, PR China.
| | - Tan-Qi Lou
- Department of Nephrology, The Third Affiliated Hospital of Sun Yat-Sen University, Tianhe Road 600#, Guangzhou, 510630, PR China.
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Tong X, Yu Q, Ankawi G, Pang B, Yang B, Yang H. Insights into the Role of Renal Biopsy in Patients with T2DM: A Literature Review of Global Renal Biopsy Results. Diabetes Ther 2020; 11:1983-1999. [PMID: 32757123 PMCID: PMC7434810 DOI: 10.1007/s13300-020-00888-w] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION Renal biopsy performed in patients with type 2 diabetes mellitus (T2DM) for atypical or suspected diabetic kidney disease (DKD) reveals one of three possibilities: diabetic nephropathy (DN, pathological diagnosis of DKD), nondiabetic kidney disease (NDKD) and DN plus NDKD (mixed form). NDKD (including the mixed form) is increasingly being recognized worldwide. With the emerging concept of DKD and the complexity of routine application of renal biopsy, the identification of "clinical indicators" to differentiate DKD from NDKD has been an area of active research. METHODS The PubMed database was searched for relevant articles mainly according to the keyword search method. We reviewed prevalence of the three types of DKD and different pathological lesions of NDKD. We also reviewed the clinical indicators used to identify DKD and NDKD. RESULTS The literature search identified 40 studies (5304 data) worldwide between 1977 and 2019 that looked at global renal biopsy and pathological NDKD lesions. The overall prevalence rate of DN, NDKD and DN plus NDKD is reported to be 41.3, 40.6 and 18.1%, respectively. In Asia, Africa (specifically Morocco and Tunisia) and Europe, the most common isolated NDKD pathological type is membranous nephropathy, representing 24.1, 15.1 and 22.6% of cases, respectively. In contrast, focal segmental glomerulosclerosis is reported to be the primary pathological type in North America (specifically the USA) and Oceania (specifically New Zealand), representing 22% and 63.9% of cases, respectively. Tubulointerstitial disease accounts for a high rate in the mixed group (21.7%), with acute interstitial nephritis being the most prevalent (9.3%), followed by acute tubular necrosis (9.0%). Regarding clinical indicators to differentiate DKD from NDKD, a total of 14 indicators were identified included in 42 studies. Among these, the most commonly studied indicators included diabetic retinopathy, duration of diabetes, proteinuria and hematuria. Regrettably, indicators with high sensitivity and specificity have not yet been identified. CONCLUSION To date, renal biopsy is still the gold standard to diagnose diabetes complicated with renal disease, especially when T2DM patients present atypical DKD symptoms (e.g. absence of diabetic retinopathy, shorter duration of diabetes, microscopic hematuria, sub-nephrotic range proteinuria, lower glycated hemoglobin, lower fasting blood glucose). We conclude that renal biopsy as early as possible is of great significance to enable personalized treatment to T2DM patients.
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Affiliation(s)
- Xue Tong
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qun Yu
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ghada Ankawi
- Department of Internal Medicine and Nephrology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Bo Pang
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Bo Yang
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Hongtao Yang
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Cox L, Wong E, Evans KM, Medcalf J, Pyart R. The Challenges of Using UK Renal Registry Data to Audit the Care of Patients with Diabetes on Renal Replacement Therapy. Nephron Clin Pract 2020; 144:440-446. [PMID: 32698181 DOI: 10.1159/000508637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 05/08/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Diabetes is a major cause of CKD and of mortality in patients on renal replacement therapy (RRT). Auditing the care of patients with diabetes on RRT against published guidelines relies on robust data collection. OBJECTIVE This article assesses the completeness of data items collected by the UK Renal Registry (UKRR) that are required to audit the care of patients with diabetes on RRT. METHODS The UKRR receives data on all patients receiving RRT in the UK. Patients with diabetes, diabetes type, and method of renal diagnosis were identified from primary renal disease (PRD) codes and comorbidity data for patients commencing RRT at one of the 57 renal centres in England and Wales between 2010 and 2016. The completeness of demographic and clinical data (blood pressure, cholesterol, glycated haemoglobin [HbA1c], and smoking status) was assessed for the first year of RRT. RESULTS Ninety-three per cent of all patients on RRT irrespective of diagnosis had a PRD code, but only 28/57 renal centres had comorbidity data completeness ≥70%; 34.9% of patients with diabetic nephropathy (DN) had type 1 diabetes, but this varied between centres (9.2-100%). Overall, 4.2% of DN diagnoses were by biopsy. Data completeness in the first year of RRT for cardiovascular risk factors ranged between 50.0 and 80.0%, with HbA1c data completeness being 63.0%. Of 57 centres, 20 had HbA1c data for ≥70% of patients in the first year of RRT. CONCLUSIONS There is persistent variation between renal centres in the completeness of data collected on patients with diabetes on RRT, impacting on the ability to undertake robust audit. Data linkages and expanded data permissions could see registry data play a key role in ongoing audit and research into patients with diabetes and CKD, provided adequate data can be collected.
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Affiliation(s)
- Louise Cox
- UK Renal Registry, Bristol, United Kingdom
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Woo KT, Chan CM, Lim C, Choo J, Chin YM, Teng EWL, Mok I, Kwek JL, Tan CS, Tan HZ, Loh AHL, Choong HL, Tan HK, Lee GSL, Lee E, Wong KS, Tan PH, Foo M. The Value of Renal Biopsy in Non-Insulin-Dependent Diabetes Mellitus in Singapore over the Past Two Decades. KIDNEY DISEASES 2020; 6:284-298. [PMID: 32923458 DOI: 10.1159/000505624] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 12/23/2019] [Indexed: 12/31/2022]
Abstract
Objective This study on the prevalence of diabetic nephropathy (DN) and coexistence of non-diabetic renal disease (NDRD) in a cohort of 255 non-insulin-dependent diabetes mellitus (NIDDM) patients aims to determine the value of performing renal biopsies in these patients and elucidate the factors which could affect their progression to end-stage renal disease (ESRD). Methods Among 255 NIDDM patients, 93 had DN alone, 69 had NDRD alone, and the remaining 93 had DN plus NDRD (mixed group). The indications for renal biopsy were based on clinical suspicion of superimposed NDRD, including heavy or rapidly increasing proteinuria, renal impairment even though diabetes is of relatively short duration, rapidly declining renal function, and presence of hematuria with dysmorphic red blood cells suggesting presence of glomerulonephritis. Results The following were predictors of ESRD: high systolic BP at biopsy, longer duration of diabetes, heavy proteinuria, and presence of diabetic retinopathy. Comparing patients in the NDRD group with the DN group and the mixed group, the NDRD group had lower serum creatinine and higher eGFR with lower urinary proteinuria and higher serum albumin at presentation and on follow-up. Kimmelstiel-Wilson nodules were associated with a poorer prognosis leading to a higher occurrence of ESRD among patients with DN. Conclusion Renal biopsy is of value in indicating the prognosis of NIDDM patients with DN based on the diabetic lesions. For NIDDM patients with atypical course and suspicion of associated NDRD, a renal biopsy would enable us to diagnose the underlying NDRD and offer appropriate therapy. Most nephrologists would consider renal biopsy for an NIDDM patient based on clinical indications like atypical clinical course and suspicion of an associated NDRD, but they would not perform a routine renal biopsy like for a CKD patient, unless it is for a research indication.
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Affiliation(s)
- Keng Thye Woo
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Choong Meng Chan
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Cynthia Lim
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Jason Choo
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Yoke Mooi Chin
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | | | - Irene Mok
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Jia Liang Kwek
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Chieh Suai Tan
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Hui Zhuan Tan
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Alwin H L Loh
- Division of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Hui Lin Choong
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Han Kim Tan
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Grace S L Lee
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Evan Lee
- Department of Renal Medicine, National University of Singapore, Singapore, Singapore
| | - Kok Seng Wong
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Puay Hoon Tan
- Division of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Marjorie Foo
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
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Li L, Yang Y, Zhu X, Xiong X, Zeng L, Xiong S, Jiang N, Li C, Yuan S, Xu H, Liu F, Sun L. Design and validation of a scoring model for differential diagnosis of diabetic nephropathy and nondiabetic renal diseases in type 2 diabetic patients. J Diabetes 2020; 12:237-246. [PMID: 31602779 DOI: 10.1111/1753-0407.12994] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 09/11/2019] [Accepted: 10/01/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND We aim to design a scoring model for differential diagnosis between diabetic nephropathy (DN) and nondiabetic renal disease (NDRD) in type 2 diabetic patients through a combination of clinical variables. METHODS A total of 170 patients with type 2 diabetes who underwent kidney biopsies were included and divided into three groups according to pathological findings: DN group (n = 46), MIX group (DN + NDRD, n = 54), NDRD group (n = 70). Clinical characteristics and laboratory data were collected and compared among groups. Variables with a significant statistical difference between DN and NDRD patients were analyzed by logistic regression to predict the presence of NDRD; then a scoring model was established based on the regression coefficient and further validated in an independent cohort of 67 patients prospectively. RESULTS On biopsy, 72.9% of patients had NDRD, and the most common pathological type was membranous nephropathy. The established scoring model for predicting NDRD included five predictors: age, systolic blood pressure, hemoglobin, duration of diabetes, and absence of diabetic retinopathy. The model demonstrated good discrimination and calibration (area under curve [AUC] 0.863, 95% CI, 0.800-0.925; Hosmer-Lemeshow [H-L] P = .062). Furthermore, high prediction accuracy (AUC = 0.900; 95% CI, 0.815-0.985) in the validation cohort proved the stability of the model. CONCLUSIONS We present a simple, robust scoring model for predicting the presence of NDRD with high accuracy (0.85) for the first time. This decision support tool provides a noninvasive method for differential diagnosis of DN and NDRD, which may help clinicians assess the risk-benefit ratio of kidney biopsy for type 2 diabetic patients with renal impairment.
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Affiliation(s)
- Li Li
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Yang
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xuejing Zhu
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaofen Xiong
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lingfeng Zeng
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Shan Xiong
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Na Jiang
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chenrui Li
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Shuguang Yuan
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Hui Xu
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
| | - Fuyou Liu
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lin Sun
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
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Sun L, Shang J, Xiao J, Zhao Z. Development and validation of a predictive model for end-stage renal disease risk in patients with diabetic nephropathy confirmed by renal biopsy. PeerJ 2020; 8:e8499. [PMID: 32095345 PMCID: PMC7020820 DOI: 10.7717/peerj.8499] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/31/2019] [Indexed: 11/20/2022] Open
Abstract
This study was performed to develop and validate a predictive model for the risk of end-stage renal disease (ESRD) inpatients with diabetic nephropathy (DN) confirmed by renal biopsy. We conducted a retrospective study with 968 patients with T2DM who underwentrenal biopsy for the pathological confirmation of DNat the First Affiliated Hospital of Zhengzhou University from February 2012 to January 2015; the patients were followed until December 2018. The outcome was defined as a fatal or nonfatal ESRD event (peritoneal dialysis or hemodialysis for ESRD, renal transplantation, or death due to chronic renal failure or ESRD). The dataset was randomly split into development (75%) and validation (25%) cohorts. We used stepwise multivariablelogistic regression to identify baseline predictors for model development. The model’s performance in the two cohorts, including discrimination and calibration, was evaluated by the C-statistic and the P value of the Hosmer-Lemeshow test. During the 3-year follow-up period, there were 225 outcome events (47.1%) during follow-up. Outcomes occurred in 187 patients (52.2%) in the derivation cohort and 38 patients (31.7%) in the validation cohort. The variables selected in the final multivariable logistic regression after backward selection were pathological grade, Log Urinary Albumin-to-creatinine ratio (Log ACR), cystatin C, estimated glomerular filtration rate (eGFR) and B-type natriuretic peptide (BNP). 4 prediction models were created in a derivation cohort of 478 patients: a clinical model that included cystatin C, eGFR, BNP, Log ACR; a clinical-pathological model and a clinical-medication model, respectively, also contained pathological grade and renin-angiotensin system blocker (RASB) use; and a full model that also contained the pathological grade, RASB use and age. Compared with the clinical model, the clinical-pathological model and the full model had better C statistics (0.865 and 0.866, respectively, vs. 0.864) in the derivation cohort and better C statistics (0.876 and 0.875, respectively, vs. 0.870) in the validation cohort. Among the four models, the clinical-pathological model had the lowest AIC of 332.53 and the best P value of 0.909 of the Hosmer-Lemeshow test. We constructed a nomogram which was a simple calculator to predict the risk ratio of progression to ESRD for patients with DN within 3 years. The clinical-pathological model using routinely available clinical measurements was shown to be accurate and validated method for predicting disease progression in patients with DN. The risk model can be used in clinical practice to improve the quality of risk management and early intervention.
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Affiliation(s)
- Lulu Sun
- Nephrology Hospital, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, China
| | - Jin Shang
- Nephrology Hospital, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, China
| | - Jing Xiao
- Nephrology Hospital, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, China
| | - Zhanzheng Zhao
- Nephrology Hospital, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, China
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22
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Bermejo S, González E, López-Revuelta K, Ibernon M, López D, Martín-Gómez A, Garcia-Osuna R, Linares T, Díaz M, Martín N, Barros X, Marco H, Navarro MI, Esparza N, Elias S, Coloma A, Robles NR, Agraz I, Poch E, Rodas L, Lozano V, Fernández B, Hernández E, Martínez MI, Stanescu RI, Moirón JP, García N, Goicoechea M, Calero F, Bonet J, Galceran JM, Liaño F, Pascual J, Praga M, Fulladosa X, Soler MJ. Risk factors for non-diabetic renal disease in diabetic patients. Clin Kidney J 2020; 13:380-388. [PMID: 32699618 PMCID: PMC7367112 DOI: 10.1093/ckj/sfz177] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 11/15/2019] [Indexed: 11/28/2022] Open
Abstract
Background Diabetic patients with kidney disease have a high prevalence of non-diabetic renal disease (NDRD). Renal and patient survival regarding the diagnosis of diabetic nephropathy (DN) or NDRD have not been widely studied. The aim of our study is to evaluate the prevalence of NDRD in patients with diabetes and to determine the capacity of clinical and analytical data in the prediction of NDRD. In addition, we will study renal and patient prognosis according to the renal biopsy findings in patients with diabetes. Methods Retrospective multicentre observational study of renal biopsies performed in patients with diabetes from 2002 to 2014. Results In total, 832 patients were included: 621 men (74.6%), mean age of 61.7 ± 12.8 years, creatinine was 2.8 ± 2.2 mg/dL and proteinuria 2.7 (interquartile range: 1.2–5.4) g/24 h. About 39.5% (n = 329) of patients had DN, 49.6% (n = 413) NDRD and 10.8% (n = 90) mixed forms. The most frequent NDRD was nephroangiosclerosis (NAS) (n = 87, 9.3%). In the multivariate logistic regression analysis, older age [odds ratio (OR) = 1.03, 95% CI: 1.02–1.05, P < 0.001], microhaematuria (OR = 1.51, 95% CI: 1.03–2.21, P = 0.033) and absence of diabetic retinopathy (DR) (OR = 0.28, 95% CI: 0.19–0.42, P < 0.001) were independently associated with NDRD. Kaplan–Meier analysis showed that patients with DN or mixed forms presented worse renal prognosis than NDRD (P < 0.001) and higher mortality (P = 0.029). In multivariate Cox analyses, older age (P < 0.001), higher serum creatinine (P < 0.001), higher proteinuria (P < 0.001), DR (P = 0.007) and DN (P < 0.001) were independent risk factors for renal replacement therapy. In addition, older age (P < 0.001), peripheral vascular disease (P = 0.002), higher creatinine (P = 0.01) and DN (P = 0.015) were independent risk factors for mortality. Conclusions The most frequent cause of NDRD is NAS. Elderly patients with microhaematuria and the absence of DR are the ones at risk for NDRD. Patients with DN presented worse renal prognosis and higher mortality than those with NDRD. These results suggest that in some patients with diabetes, kidney biopsy may be useful for an accurate renal diagnosis and subsequently treatment and prognosis.
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Affiliation(s)
- Sheila Bermejo
- Nephrology Department, Hospital del Mar, Barcelona, Spain.,Nephrology Department, Fundació Althaia, Manresa, Spain
| | - Ester González
- Nephrology Department, Hospital 12 de Octubre, Madrid, Spain
| | | | - Meritxell Ibernon
- Nephrology Department, Hospital Sant Joan Despí Moisès Broggi, Barcelona, Spain
| | - Diana López
- Nephrology Department, Clínica Universitaria de Navarra, Pamplona, Spain
| | | | | | - Tania Linares
- Nephrology Department, Hospital Universitario Gregorio Marañón, Madrid, Spain
| | | | - Nàdia Martín
- Nephrology Department, Hospital Universitari Josep Trueta, Girona, Spain
| | - Xoana Barros
- Nephrology Department, Hospital Universitari Josep Trueta, Girona, Spain
| | - Helena Marco
- Nephrology Department, Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Noemí Esparza
- Nephrology Department, Hospital Universitario Insular de Gran Canaria, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Sandra Elias
- Nephrology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Ana Coloma
- Nephrology Department, Hospital San Pedro, Logroño, Spain
| | | | - Irene Agraz
- Nephrology Department, Hospital Vall d'Hebron, Barcelona, Spain
| | - Esteban Poch
- Nephrology Department, Hospital Clínic, Barcelona, Spain.,IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Lida Rodas
- Nephrology Department, Hospital Clínic, Barcelona, Spain.,IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Víctor Lozano
- Nephrology Department, Hospital Clínic, Barcelona, Spain.,IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | | | | | | | | | - José Pelayo Moirón
- Nephrology Department, Clínica Universitaria de Navarra, Pamplona, Spain
| | - Núria García
- Nephrology Department, Clínica Universitaria de Navarra, Pamplona, Spain
| | - Marian Goicoechea
- Nephrology Department, Hospital Universitario Gregorio Marañón, Madrid, Spain
| | | | - Josep Bonet
- Nephrology Department, Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Fernando Liaño
- Nephrology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Julio Pascual
- Nephrology Department, Hospital del Mar, Barcelona, Spain
| | - Manuel Praga
- Nephrology Department, Hospital 12 de Octubre, Madrid, Spain
| | - Xavier Fulladosa
- Nephrology Department, Hospital de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Spanish Group for the Study of Glomerular Diseases (GLOSEN), Grup de Treball de Malalties Glomerulars de la Societat Catalana de. Nefrologia (GlomCAT), and Grupo Español de Estudio de Nefropatía Diabética (GEENDIAB)
| | - María José Soler
- Nephrology Department, Hospital del Mar, Barcelona, Spain.,Nephrology Department, Hospital Vall d'Hebron, Barcelona, Spain
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23
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García-Martín F, González Monte E, Hernández Martínez E, Bada Boch T, Bustamante Jiménez NE, Praga Terente M. When to perform renal biopsy in patients with type2 diabetes mellitus? Predictive model of non-diabetic renal disease. Nefrologia 2019; 40:180-189. [PMID: 31761446 DOI: 10.1016/j.nefro.2019.07.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Revised: 06/20/2019] [Accepted: 07/16/2019] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION Diabetic nephropathy (DN) is one of the most frequent complications in patients with diabetes mellitus (DM) and its diagnosis is usually established on clinical grounds. However, kidney involvement in some diabetic patients can be due to other causes, and renal biopsy might be needed to exclude them. The aim of our study was to establish the clinical and analytical data that predict DN and no-diabetic renal disease (NDRD), and to develop a predictive model (score) to confirm or dismiss DN. MATERIAL AND METHODS We conducted a transversal, observational and retrospective study, including renal biopsies performed in type2 DM patients, between 2000 and 2018. RESULTS Two hundred seven DM patients were included in our study. The mean age was 64.5±10.6 years and 74% were male. DN was found in 126 (61%) of the biopsies and NDRD in 81 (39%). Diabetic retinopathy was presented in 58% of DN patients, but only in 6% of NDRD patients (P<.001). Patients with NDRD were diagnosed of primary glomerulopathies (52%), nephroangiosclerosis (16%), inmunoallergic interstitial nephritis (15%) and vasculitis (8.5%). In the multivariate analysis, retinopathy (OR26.7; 95%CI: 6.8-104.5), chronic ischaemia of lower limbs (OR4,37; 95%CI: 1.33-14.3), insulin therapy (OR3.05; 95%CI: 1.13-8.25), time course of DM ≥10years (OR2.71; 95%CI: 1.1-6.62) and nephrotic range proteinuria (OR2.91; 95%CI: 1.2-7.1) were independent predictors for DN. Microhaematuria defined as ≥10 red blood cells per high-power field (OR0.032; 95%CI: 0.01-0.11) and overweight (OR0.21; 95%CI: 0.08-0.5) were independent predictors of NDRD. According to the predictive model based on the multivariate analysis, all patients with a score >3 had DN and 94% of cases with a score ≤1 had NDRD (score ranked from -6 to 8points). CONCLUSIONS NDRD is common in DM patients (39%), being primary glomerulonephritis the most frequent ethology. The absence of retinopathy and the presence of microhematuria are highly suggestive of NDRD. The use of our predictive model could facilitate the indication of performing a renal biopsy in DM patients.
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Affiliation(s)
- Florencio García-Martín
- Servicio de Nefrología, Hospital Universitario 12 de Octubre, Madrid, España; Departamento de Medicina, Universidad Complutense, Madrid, España.
| | | | | | - Teresa Bada Boch
- Servicio de Nefrología, Hospital Universitario 12 de Octubre, Madrid, España
| | | | - Manuel Praga Terente
- Servicio de Nefrología, Hospital Universitario 12 de Octubre, Madrid, España; Departamento de Medicina, Universidad Complutense, Madrid, España
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24
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Yang Z, Feng L, Huang Y, Xia N. A Differential Diagnosis Model For Diabetic Nephropathy And Non-Diabetic Renal Disease In Patients With Type 2 Diabetes Complicated With Chronic Kidney Disease. Diabetes Metab Syndr Obes 2019; 12:1963-1972. [PMID: 31686878 PMCID: PMC6777431 DOI: 10.2147/dmso.s223144] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Accepted: 09/16/2019] [Indexed: 02/04/2023] Open
Abstract
PURPOSE Differentiating between diabetic nephropathy (DN) and non-diabetic renal disease (NDRD) is difficult and inefficient. The aim of the present study was to create a model for the differential diagnosis of DN and NDRD in patients with type 2 diabetes mellitus (T2DM). PATIENTS AND METHODS We consecutively screened 213 patients with T2DM complicated with chronic kidney disease, who underwent renal biopsy at The First Affiliated Hospital of Guangxi Medical University (Nanning, China) between 2011 and 2017. According to the pathological results derived from the renal biopsy, the patients were divided into three groups (74, 130, and nine in the DN, NDRD, and NDRD superimposed with DN group, respectively). Clinical and laboratory data were compared and a diagnostic model was developed based on the following logistic regression model: logit(P)=+++ … +. RESULTS We observed a high incidence of NDRD (61.0% of all patients), including various pathological types; the most common type was idiopathic membranous nephropathy. By comparing clinical variables, we identified a number of differences between DN and NDRD. Logistic regression analyses showed that the following variables were statistically significant: the absence of diabetic retinopathy (DR), proteinuria within the non-nephrotic range, the absence of anemia and an estimated glomerular filtration rate (eGFR) ≥90 mL/min/1.73 m2. We subsequently constructed a diagnostic model for predicting NDRD, as follows: PNDRD=1/[1+exp(-17.382-3.339×DR-1.274×Proteinuria-2.217×Anemia-1.853×eGFR-0.993×DM+20.892Bp)]. PNDRD refers to the probability of a diagnosis of NDRD (a PNDRD≥0.5 predicts NDRD while a PNDRD <0.5 predicts DN); while DM refers to the duration of diabetes. This model had a sensitivity of 95.4%, a specificity of 83.8%, and the area under the receiver operating characteristic curve was 0.925. CONCLUSION Our diagnostic model may facilitate the clinical differentiation of DN and NDRD, and assist physicians in developing more effective and rational criteria for kidney biopsy in patients with T2DM complicated with chronic kidney disease.
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Affiliation(s)
- Zhenhua Yang
- Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People’s Republic of China
| | - Luhuai Feng
- Department of General Internal Medicine, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, People’s Republic of China
| | - Yu Huang
- Department of Nephrology, The People’s Hospital of Wuzhou, Wuzhou, People’s Republic of China
| | - Ning Xia
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Guangxi Medical University, Nanning, People’s Republic of China
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25
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Abstract
The increasing global prevalence of type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) has prompted research efforts to tackle the growing epidemic of diabetic kidney disease (DKD; also known as diabetic nephropathy). The limited success of much of this research might in part be due to the fact that not all patients diagnosed with DKD have renal dysfunction as a consequence of their diabetes mellitus. Patients who present with CKD and diabetes mellitus (type 1 or type 2) can have true DKD (wherein CKD is a direct consequence of their diabetes status), nondiabetic kidney disease (NDKD) coincident with diabetes mellitus, or a combination of both DKD and NDKD. Preclinical studies using models that more accurately mimic these three entities might improve the ability of animal models to predict clinical trial outcomes. Moreover, improved insights into the pathomechanisms that are shared by these entities - including sodium-glucose cotransporter 2 (SGLT2) and renin-angiotensin system-driven glomerular hyperfiltration and tubular hyper-reabsorption - as well as those that are unique to individual entities might lead to the identification of new treatment targets. Acknowledging that the clinical entity of CKD plus diabetes mellitus encompasses NDKD as well as DKD could help solve some of the urgent unmet medical needs of patients affected by these conditions.
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26
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Wang J, Han Q, Zhao L, Zhang J, Wang Y, Wu Y, Wang T, Zhang R, Grung P, Xu H, Liu F. Identification of clinical predictors of diabetic nephropathy and non-diabetic renal disease in Chinese patients with type 2 diabetes, with reference to disease course and outcome. Acta Diabetol 2019; 56:939-946. [PMID: 30927104 DOI: 10.1007/s00592-019-01324-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 03/11/2019] [Indexed: 02/05/2023]
Abstract
AIMS To determine the prevalence of diabetic nephropathy (DN) and non-diabetic renal disease (NDRD) in patients with type 2 diabetes mellitus (T2DM), and the important clinical predictors of renal outcome and clinical course. METHODS We conducted a retrospective analysis of clinical, laboratory, and histopathologic data from T2DM patients with renal involvement confirmed by renal biopsy (n = 505). The outcome was defined as the progression to end-stage renal disease (ESRD). RESULTS Renal biopsy revealed that 302 patients (59.8%) had DN, 174 (34.5%) had NDRD, and 29 (5.7%) had NDRD superimposed on DN. In multivariate analysis, the absence of diabetic retinopathy (DR) (odds ratio (OR) 4.171, 95% confidence interval (CI) 1.810-9.612; P = 0.001), absence of hypertension (OR 2.412, 95% CI 1.095-5.315; P = 0.029), shorter duration of diabetes (OR 1.015, 95% CI 1.008-1.022; P < 0.001), lower-risk chronic kidney disease (CKD) heat map category (green, yellow and orange) (OR 3.885, 95% CI 1.289-11.707; P = 0.016) and lower glycated hemoglobin (HbA1c) (OR 1.339, 95% CI 1.114-1.610; P = 0.002) were significant clinical predictors of NDRD. Patients with DN had a poorer 5-year renal outcome than those with NDRD, and multivariate analysis identified DN as an independent risk factor for progression to ESRD, when adjusted for important clinical variables (P < 0.05). CONCLUSIONS This study has identified the absence of DR and hypertension, lower-risk CKD heat map category, shorter duration of diabetes, and lower HbA1c as useful clinical predictors of NDRD. Renal biopsy is recommended for patients with T2DM and renal disease to obtain an accurate diagnosis and determine timely disease-specific treatment, which should increase the chance of a good renal outcome.
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Affiliation(s)
- Jiali Wang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
- Division of Nephrology, Mianyang Central Hospital, Mianyang, 621000, China
| | - Qianqian Han
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Lijun Zhao
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Junlin Zhang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Yiting Wang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Yucheng Wu
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Tingli Wang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Rui Zhang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Premesh Grung
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Huan Xu
- Division of Pathology, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China
| | - Fang Liu
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China.
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27
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Stefan G, Stancu S, Zugravu A, Petre N, Mandache E, Mircescu G. Histologic predictors of renal outcome in diabetic nephropathy: Beyond renal pathology society classification. Medicine (Baltimore) 2019; 98:e16333. [PMID: 31277183 PMCID: PMC6635249 DOI: 10.1097/md.0000000000016333] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The prognostic utility of histologic features in patients with diabetic nephropathy (DN) classified according to the Renal Pathology Society (RPS) classification is controversial. Therefore, we aimed to evaluate the relationship between histologic changes and renal outcome in DN patients.We examined the renal outcome at November 30, 2017 of 74 adult patients (median age of 54.6 years, 69% male, 81% diabetes mellitus (DM) type 2, estimated GFR (eGFR) 29.6 mL/min) with biopsy proven DN between 2010 and 2015. The primary endpoint was renal replacement therapy (RRT) initiation.Half of the patients progressed to end stage renal disease (ESRD) during follow-up; they had lower eGFR, increased proteinuria, hematuria and serum cholesterol. Regarding the pathologic features, they were more frequently in class III and IV, had higher interstitial fibrosis and tubular atrophy score (IFTA), increased interstitial inflammation, more frequent arteriolar hyalinosis and higher glomerular basement membrane (GBM) thickness. The mean kidney survival time was 2.7 (95%CI 2.1, 3.3) years. In univariate time-dependent analyses, higher RPS DN class, increased IFTA, the presence of arteriolar hyalinosis and arteriosclerosis were associated with RRT initiation.In the fully adjusted model, the clinical characteristics associated with poor renal survival were longer duration of DM, lower eGFR, increased proteinuria and higher hematuria and the only pathologic lesions to remain significant were the GBM thickness and the IFTA.In conclusion, in this European cohort, the severity of glomerular lesions evaluated with the RPS DN classification had limited utility in predicting RRT initiation. However, IFTA and GBM thickness were significantly associated with renal survival.
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Affiliation(s)
- Gabriel Stefan
- Dr Carol Davila Teaching Hospital of Nephrology, University of Medicine and Pharmacy Carol Davila
| | - Simona Stancu
- Dr Carol Davila Teaching Hospital of Nephrology, University of Medicine and Pharmacy Carol Davila
| | - Adrian Zugravu
- Dr Carol Davila Teaching Hospital of Nephrology, University of Medicine and Pharmacy Carol Davila
| | - Nicoleta Petre
- Dr Carol Davila Teaching Hospital of Nephrology, University of Medicine and Pharmacy Carol Davila
| | - Eugen Mandache
- Dr Carol Davila Teaching Hospital of Nephrology, Bucharest, Romania
| | - Gabriel Mircescu
- Dr Carol Davila Teaching Hospital of Nephrology, University of Medicine and Pharmacy Carol Davila
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28
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Jiang S, Yu T, Zhang Z, Wang Y, Fang J, Yang Y, Liu L, Li W. Diagnostic Performance of Retinopathy in the Detection of Diabetic Nephropathy in Type 2 Diabetes: A Systematic Review and Meta-Analysis of 45 Studies. Ophthalmic Res 2019; 62:68-79. [PMID: 31256153 DOI: 10.1159/000500833] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 05/08/2019] [Indexed: 11/19/2022]
Abstract
AIMS To conduct an evidence-based evaluation of diabetic retinopathy (DR) for the diagnosis of diabetic nephropathy (DN) in type 2 diabetics with kidney disease. METHODS We systematically searched PubMed, EMBASE, and the Cochrane Library from inception to June 27, 2018, including the reference lists of identified primary studies. A study was included if it (1) used DR as a diagnostic test for DN; and (2) used histological evaluation of renal tissues as the reference standard. RESULTS The analysis included 45 studies (4,561 patients). A bivariate analysis yielded a sensitivity of 0.67 (95% CI 0.61-0.74) and a specificity of 0.78 (95% CI 0.73-0.82). The summary receiver operating characteristic curve analysis provided an area under the curve (AUC) of 0.79 (95% CI 0.76-0.83). In a setting of 41% prevalence of DN, the probability of DN would be 68% if the test of DR was positive, and the probability of DN would be 23% if it was negative. In addition, although the mean specificity of proliferative DR for the detection of DN was 0.99 (95% CI 0.45-1.00), the mean sensitivity was 0.34 (95% CI 0.24-0.44), and the AUC was 0.58 (95% CI 0.53-0.62). CONCLUSIONS DR is helpful in diagnosing DN in persons with type 2 diabetes and kidney disease, but the severity of DR may not parallel the presence of DN.
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Affiliation(s)
- Shimin Jiang
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China.,Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Tianyu Yu
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China.,Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Zhang
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China.,Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yining Wang
- Peking University Health Science Center, Beijing, China
| | - Jinying Fang
- Beijing University of Chinese Medicine, Beijing, China
| | - Yue Yang
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China
| | - Lin Liu
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China
| | - Wenge Li
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China, .,Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China,
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Ren D, Kang W, Xu G. Meta-Analysis of Diagnostic Accuracy of Retinopathy for the Detection of Diabetic Kidney Disease in Adults With Type 2 Diabetes. Can J Diabetes 2019; 43:530-537.e4. [PMID: 31113753 DOI: 10.1016/j.jcjd.2019.04.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/17/2019] [Accepted: 04/03/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The study aimed to explore whether diabetic retinopathy (DR) could distinguish diabetic kidney disease (DKD) from nondiabetic renal diseases (NDRDs) in patients with type 2 diabetes mellitus and renal disease. METHODS We searched PubMed, Embase, Cochrane, MEDLINE and China National Knowledge Internet for articles that enrolled patients with DKD and NDRD. The results were summarized as sensitivity, specificity and the area under the curve of summary receiver operating characteristic curve with their 95% confidence intervals (CIs). RESULTS A total of 51 studies that included 4,990 participants were collected for evaluation. The overall pooled sensitivity, specificity and area under the curve with their 95% CIs were 0.67 (95% CI 0.61, 0.73), 0.77 (95% CI 0.72, 0.81) and 0.78 (95% CI 0.75 to 0.82), respectively. If the test for DR is negative, the probability of DKD would decrease to 10%, but if the test for DR is positive, the probability would increase only to 42%. In addition, although the mean specificity of proliferative DR for detection of DKD was 0.98 (95% CI 0.92 to 1.00), the mean sensitivity was 0.25 (95% CI 0.16, 0.35). CONCLUSIONS DR may lack adequate evidence either to verify DKD or to exclude NDRD, and the severity of DR may not parallel the presence of DKD.
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Affiliation(s)
- Daijin Ren
- Department of Nephrology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wenling Kang
- Department of Nephrology, People's Hospital of Xinyu City, Xinyu, China
| | - Gaosi Xu
- Department of Nephrology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
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Liu XM, Wang Q, Dong ZY, Zhang WG, Cai GY, Zhang L, Wang Y, Zhu HY, Tang L, Shen WJ, Chen XM. Clinicopathological Features of Nondiabetic Renal Diseases from Different Age Groups: An Observational Cross-sectional Study. Chin Med J (Engl) 2019; 131:2953-2959. [PMID: 30539908 PMCID: PMC6302642 DOI: 10.4103/0366-6999.247197] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Background Diabetes mellitus (DM) has become the leading cause of chronic kidney disease (CKD). Nondiabetic renal diseases (NDRDs) have different clinicopathological features and prognosis from those of diabetic nephropathy. Our study sought to analyze the clinical and pathological features of NDRDs, in different age groups through a cross-sectional study. Methods All patients with type 2 DM at our center who underwent renal biopsy between March 1997 and March 2017 were screened and divided into three groups by age: Group 1 (youth group), 18-44 years old; Group 2 (middle-aged group), 45-59 years old; and Group 3 (elderly group), ≥60 years old. We analyzed the clinicopathological data and risk factors by univariate and multivariate logistic regression for NDRD of the patients to identify the features of NDRD in different age groups. Results We included 982 patients in the final analysis. Patients with NDRD accounted for 64.4% of all patients. IgA nephropathy (IgAN) was the most common pathological pattern in young patients with NDRD, accounting for 26.3%. In the middle-aged group, the two most common pathological patterns were IgAN and membranous nephropathy. Membranous nephropathy was the most common pathological pattern in elderly patients with NDRD, accounting for 29.3%. Consistent with pathological features, glomerular hematuria is a risk factor for NDRD in Group 1 (odds ratio [OR], 26.514; 95% confidence interval [CI], 2.503-280.910; P = 0.006). On the other hand, rapidly increasing proteinuria or nephrotic syndrome is a risk factor for NDRD in Group 2 (OR, 5.921; 95% CI, 2.061-17.013; P = 0.001) and Group 3 (OR, 90.409; 95% CI, 6.198-1318.826; P = 0.001). Conclusions This single-center study showed that the proportion and composition of NDRD differ among different age groups. Consistent with pathological features, some clinical indices such as hematuria and proteinuria showed different features among different age groups.
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Affiliation(s)
- Xiao-Min Liu
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Qian Wang
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Zhe-Yi Dong
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Wei-Guang Zhang
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Guang-Yan Cai
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Li Zhang
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Yong Wang
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Han-Yu Zhu
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Li Tang
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Wan-Jun Shen
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Xiang-Mei Chen
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
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Chou YH, Lin WC, Chen YM. Clinical outcomes in patients with biopsy-proved diabetic nephropathy compared to isolated lupus or crescentic glomerulonephritis. Diabetes Res Clin Pract 2019; 148:144-151. [PMID: 30641169 DOI: 10.1016/j.diabres.2019.01.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Accepted: 01/09/2019] [Indexed: 12/22/2022]
Abstract
AIMS Diabetic nephropathy (DMN) is usually diagnosed clinically without pathology, and the prognosis of which compared to non-diabetic renal diseases has rarely been investigated especially in ethnic Chinese population. Here we reported the outcome of patients with biopsy-proved DMN compared to those with isolated crescentic glomerulonephritis (GN) or lupus nephritis (LN). METHODS This retrospective observational study included patients with DMN (n = 55), crescentic GN (n = 48) and LN (n = 82) from an original cohort of 987 adult patients who underwent kidney biopsy. The median follow-up period was 8.3 years. The Cox regression model was used to identify factors associated with the outcome measures of end-stage renal disease (ESRD) and all-cause mortality. RESULTS Patients with DMN and crescentic GN exhibited higher rates of ESRD than LN group (65.5%, 66.7% versus 32.9%, p < 0.001). After accounting for the competing risk of death, DMN versus LN, along with lower hemoglobin values, lower estimated glomerular filtration rates and severe proteinuria were independent predictors for ESRD. Patients with DMN and crescentic GN displayed higher mortality rates than LN patients following the development of ESRD (38.2% and 29.2% versus 9.8%, p < 0.001). Multivariate analysis showed old age (≧65 years) and lower serum albumin levels were independently associated with overall death. CONCLUSIONS Patients with biopsy-proved DMN, but not crescentic GN, showed a greater risk of ESRD than LN counterparts. Given the grave renal prognosis of DMN, more meticulous follow-up is critical to ensure that best therapeutic strategies are used to avert progression to ESRD.
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Affiliation(s)
- Yu-Hsiang Chou
- Department of Internal Medicine, National Taiwan University Hospital Jin-Shan Branch, No. 7, Yulu Rd., Wuhu Village, Jinshan Dist., New Taipei City 20844, Taiwan; Renal Division, Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 7, Chung Shan S. Rd., Zhongzheng Dist., Taipei City 10002, Taiwan
| | - Wei-Chou Lin
- Department of Pathology, National Taiwan University College of Medicine and Hospital, No. 7, Chung Shan S. Rd., Zhongzheng Dist., Taipei City 10002, Taiwan.
| | - Yung-Ming Chen
- Renal Division, Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 7, Chung Shan S. Rd., Zhongzheng Dist., Taipei City 10002, Taiwan.
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Zajjari Y, Aatif T, Hassani K, Benbria S, El Kabbaj D. Renal Histology in Diabetic Patients. SAUDI JOURNAL OF MEDICINE & MEDICAL SCIENCES 2018; 7:22-27. [PMID: 30787853 PMCID: PMC6381850 DOI: 10.4103/sjmms.sjmms_76_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Background: The diagnosis of diabetic nephropathy is based on the course of clinical manifestations and renal biopsy. Renal biopsy is usually performed in patients with atypical presentations. Objectives: This study was performed to analyze various renal histopathological lesions in diabetic patients and to establish a clinicopathological correlation. Materials and Methods: In this retrospective study, the authors analyzed renal histology of 40 patients with type 2 diabetes mellitus who presented with atypical features of diabetic renal involvement and underwent renal biopsy at the Military Hospital Mohammed V, Rabat, Morocco, between January 2008 and December 2016. Results: About 60% of the patients had isolated diabetic nephropathy, 35% had isolated nondiabetic renal diseases and 5% had both. Patients with nondiabetic renal diseases had significantly higher hematuria (P = 0.02), shorter duration of diabetes (P = 0.009), higher mean estimated glomerular filtration rate (P = 0.04) and lower prevalence of diabetic retinopathy (P < 0.001). The most common histological lesion in patients with nondiabetic renal diseases was IgA nephropathy (25%). In patients with diabetic nephropathy, the most common histological class was Class III (42.3%). Furthermore, higher histological classes were associated with lower estimated glomerular filtration rate (P < 0.001) as well as higher prevalence of diabetic retinopathy (P = 0.009) and nephrotic proteinuria (P = 0.04). Conclusions: This study found that in Rabat, Morocco, the most common histopathological lesion in patients with diabetes was diabetic nephropathy. Hematuria, shorter duration of diabetes, higher mean estimated glomerular filtration rate and lower prevalence of diabetic retinopathy were reported among those with nondiabetic renal diseases. These findings are in accord with that of studies from other countries. However, large sample size and long-term follow-up clinical studies are needed to demonstrate the renal pathological implications and renal outcomes in type 2 diabetes mellitus patients with renal involvement.
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Affiliation(s)
- Yassir Zajjari
- Department of Nephrology-Dialysis, Military Hospital Mohammed V, Rabat, Morocco
| | - Taoufiq Aatif
- Department of Nephrology-Dialysis, Military Hospital Mohammed V, Rabat, Morocco
| | - Kawtar Hassani
- Department of Nephrology-Dialysis, Military Hospital Mohammed V, Rabat, Morocco
| | - Sanaa Benbria
- Department of Nephrology-Dialysis, Military Hospital Mohammed V, Rabat, Morocco
| | - Driss El Kabbaj
- Department of Nephrology-Dialysis, Military Hospital Mohammed V, Rabat, Morocco
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Progression of diabetic kidney disease and trajectory of kidney function decline in Chinese patients with Type 2 diabetes. Kidney Int 2018; 95:178-187. [PMID: 30415941 DOI: 10.1016/j.kint.2018.08.026] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 08/12/2018] [Accepted: 08/16/2018] [Indexed: 01/08/2023]
Abstract
Diabetes is a major cause of end stage renal disease (ESRD), yet the natural history of diabetic kidney disease is not well understood. We aimed to identify patterns of estimated GFR (eGFR) trajectory and to determine the clinical and genetic factors and their associations of these different patterns with all-cause mortality in patients with type 2 diabetes. Among 6330 patients with baseline eGFR >60 ml/min per 1.73 m2 in the Hong Kong Diabetes Register, a total of 456 patients (7.2%) developed Stage 5 chronic kidney disease or ESRD over a median follow-up of 13 years (incidence rate 5.6 per 1000 person-years). Joint latent class modeling was used to identify different patterns of eGFR trajectory. Four distinct and non-linear trajectories of eGFR were identified: slow decline (84.3% of patients), curvilinear decline (6.5%), progressive decline (6.1%) and accelerated decline (3.1%). Microalbuminuria and retinopathy were associated with accelerated eGFR decline, which was itself associated with all-cause mortality (odds ratio [OR] 6.9; 95% confidence interval [CI]: 5.6-8.4 for comparison with slow eGFR decline). Of 68 candidate genetic loci evaluated, the inclusion of five loci (rs11803049, rs911119, rs1933182, rs11123170, and rs889472) improved the prediction of eGFR trajectories (net reclassification improvement 0.232; 95% CI: 0.057--0.406). Our study highlights substantial heterogeneity in the patterns of eGFR decline among patients with diabetic kidney disease, and identifies associated clinical and genetic factors that may help to identify those who are more likely to experience an accelerated decline in kidney function.
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Fan JZ, Wang R. Non-diabetic renal disease in patients with type 2 diabetes: a single centre study. Intern Med J 2018; 48:451-456. [PMID: 29206334 DOI: 10.1111/imj.13708] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 11/21/2017] [Accepted: 11/27/2017] [Indexed: 11/30/2022]
Abstract
BACKGROUND Non-diabetic renal disease (NDRD) has been widely known in diabetic patients. The clinical differentiation between diabetic nephropathy (DN) and NDRD is still not so clear and effective. AIM To analyse the pathological characteristics and distribution of renal injury in selected type 2 diabetic patients. Comparison between DN and NDRD in clinical characteristics, to find important predictors for NDRD. METHODS To conduct retrospective analysis of clinical, laboratory and pathohistological data of type 2 diabetic patients in whom renal biopsies were performed from March 2010 to September 2014 in Shandong Provincial Hospital affiliated to Shandong University (n = 88). RESULTS According to the findings of renal biopsy, the incidences of DN, NDRD and DN complicated with NDRD were 20.46, 72.73 and 6.82% respectively. The most common NDRD found were: membranous nephropathy, followed by IgA nephropathy and focal segmental glomerulosclerosis. In multivariate logistic-analysis, fasting blood glucose (odds ratio (OR) 0.714; 95% confidence interval (CI) = 0.543-0.939; P = 0.016) and absence of diabetic retinopathy (OR 18.602; 95% CI = 2.176-159.018; P = 0.003) were independent predictors of NDRD. CONCLUSIONS This study confirmed a considerably high prevalence of NDRD in type 2 diabetic patients with renal injury. As some cases of NDRD are readily treatable or remittable, we should consider renal biopsy in selected diabetic patients with renal involvement, especially in those with effective blood glucose control and the absence of diabetic retinopathy.
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Affiliation(s)
- Jian-Zhen Fan
- Department of General Medicine, Shandong University Qilu Hospital, Jinan, China
| | - Rong Wang
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
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Jiang S, Wang Y, Zhang Z, Dai P, Yang Y, Li W. Accuracy of hematuria for predicting non-diabetic renal disease in patients with diabetes and kidney disease: A systematic review and meta-analysis. Diabetes Res Clin Pract 2018; 143:288-300. [PMID: 30059756 DOI: 10.1016/j.diabres.2018.07.027] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 06/24/2018] [Accepted: 07/23/2018] [Indexed: 11/18/2022]
Abstract
AIMS To clarify the predictive value of hematuria in patients with diabetes and non-diabetic renal disease (NDRD). METHODS The databases of Medline, Embase and the Cochrane Library were searched up to November 22, 2017. The pooled sensitivity, specificity, positive and negative likelihood ratio (PLR, NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve (AUC) were calculated using a bivariate mixed-effects regression model. RESULTS Thirty-eight articles were eligible, of which 35 articles with 4005 patients investigated hematuria. The pooled sensitivity and specificity of hematuria to predict NDRD were 0.42 (95% CI 0.35-0.49) and 0.72 (95% CI 0.64-0.79), respectively. The pooled PLR and NLR were 1.49 (95% CI 1.28-1.75) and 0.81 (95% CI 0.75-0.87), respectively. The DOR was 1.85 (95% CI 1.49-2.30). The pooled AUC was 0.59 (95% CI 0.54-0.63). For dysmorphic erythrocytes, the pooled sensitivity was 0.27 (95% CI 0.23-0.32), while the specificity was 0.94 (95% CI 0.91-0.97). There was heterogeneity among studies (p < 0.001), and no publication bias was identified. CONCLUSIONS Type 2 diabetes patients presenting with hematuria are slightly more likely to develop NDRD. Dysmorphic erythrocytes may be more useful than microhematuria in diagnosing for NDRD in type 2 diabetes with proteinuria.
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Affiliation(s)
- Shimin Jiang
- China-Japan Friendship Institute of Clinical Medicine, Graduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yining Wang
- Department of Clinical Medicine, Peking University Health Science Center, Beijing 100191, China
| | - Zheng Zhang
- China-Japan Friendship Institute of Clinical Medicine, Graduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Peilin Dai
- Department of Clinical Medicine, Peking University Health Science Center, Beijing 100191, China
| | - Yue Yang
- Department of Nephrology, China-Japan Friendship Hospital, No. 2 East Yinghuayuan Street, Chaoyang District, Beijing 100029, China.
| | - Wenge Li
- China-Japan Friendship Institute of Clinical Medicine, Graduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China; Department of Nephrology, China-Japan Friendship Hospital, No. 2 East Yinghuayuan Street, Chaoyang District, Beijing 100029, China.
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Lin HYH, Niu SW, Kuo IC, Lim LM, Hwang DY, Lee JJ, Hwang SJ, Chen HC, Hung CC. Hematuria and Renal Outcomes in Patients With Diabetic Chronic KidneyDisease. Am J Med Sci 2018; 356:268-276. [PMID: 30286822 DOI: 10.1016/j.amjms.2018.06.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 06/03/2018] [Accepted: 06/05/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Hematuria may indicate nondiabetic renal disease in diabetic chronic kidney disease (CKD). However, some studies have reported that hematuria is noted in diabetic nephropathy and is associated with albuminuria. Hematuria is a risk factor for end-stage renal disease in glomerulonephritis, but its prognostic value in diabetic CKD is unknown. We investigated the factors associated with hematuria and the prognostic value of hematuria in patients with diabetic CKD. MATERIAL AND METHODS We included 1958 patients with type 2 diabetes and CKD stages 1-5, and 111 patients underwent renal biopsy. Patients in the biopsied cohort were younger and had more severe proteinuria, compared with those in the total cohort; hematuria was associated with nondiabetic renal disease. RESULTS In the total cohort, hematuria was observed in 15.0% of the patients and was associated with young age, a lower estimated glomerular filtration rate, proteinuria, high blood pressure and short diabetes duration. Hematuria was significantly associated with an increased risk (hazard ratio 1.39, 95% CI: 1.10-1.76, P < 0.001) of end-stage renal disease, particularly in patients with CKD stages 1-3 or a urine protein-to-creatinine ratio of <1,500mg/g (P for interaction < 0.05). The odds ratio of hematuria for rapid renal progression was 1.81 (95% CI: 1.29-2.53, P < 0.001). CONCLUSIONS Hematuria is associated with nondiabetic renal disease in biopsied patients with diabetic CKD and is associated with an increased risk of end-stage renal disease in patients with early diabetic CKD.
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Affiliation(s)
- Hugo You-Hsien Lin
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Physiology and Biophysics, University of California at Irvine, Irvine,California; UC Irvine Diabetes Center, University of California at Irvine, Irvine,California
| | - Sheng-Wen Niu
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - I-Ching Kuo
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Lee-Moay Lim
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Daw-Yang Hwang
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jia-Jung Lee
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Shang-Jyh Hwang
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Chun Chen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chi-Chih Hung
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Yamanouchi M, Hoshino J, Ubara Y, Takaichi K, Kinowaki K, Fujii T, Ohashi K, Mise K, Toyama T, Hara A, Kitagawa K, Shimizu M, Furuichi K, Wada T. Value of adding the renal pathological score to the kidney failure risk equation in advanced diabetic nephropathy. PLoS One 2018; 13:e0190930. [PMID: 29338014 PMCID: PMC5770066 DOI: 10.1371/journal.pone.0190930] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 12/24/2017] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND There have been a limited number of biopsy-based studies on diabetic nephropathy, and therefore the clinical importance of renal biopsy in patients with diabetes in late-stage chronic kidney disease (CKD) is still debated. We aimed to clarify the renal prognostic value of pathological information to clinical information in patients with diabetes and advanced CKD. METHODS We retrospectively assessed 493 type 2 diabetics with biopsy-proven diabetic nephropathy in four centers in Japan. 296 patients with stage 3-5 CKD at the time of biopsy were identified and assigned two risk prediction scores for end-stage renal disease (ESRD): the Kidney Failure Risk Equation (KFRE, a score composed of clinical parameters) and the Diabetic Nephropathy Score (D-score, a score integrated pathological parameters of the Diabetic Nephropathy Classification by the Renal Pathology Society (RPS DN Classification)). They were randomized 2:1 to development and validation cohort. Hazard Ratios (HR) of incident ESRD were reported with 95% confidence interval (CI) of the KFRE, D-score and KFRE+D-score in Cox regression model. Improvement of risk prediction with the addition of D-score to the KFRE was assessed using c-statistics, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS During median follow-up of 1.9 years, 194 patients developed ESRD. The cox regression analysis showed that the KFRE,D-score and KFRE+D-score were significant predictors of ESRD both in the development cohort and in the validation cohort. The c-statistics of the D-score was 0.67. The c-statistics of the KFRE was good, but its predictive value was weaker than that in the miscellaneous CKD cohort originally reported (c-statistics, 0.78 vs. 0.90) and was not significantly improved by adding the D-score (0.78 vs. 0.79, p = 0.83). Only continuous NRI was positive after adding the D-score to the KFRE (0.4%; CI: 0.0-0.8%). CONCLUSIONS We found that the predict values of the KFRE and the D-score were not as good as reported, and combining the D-score with the KFRE did not significantly improve prediction of the risk of ESRD in advanced diabetic nephropathy. To improve prediction of renal prognosis for advanced diabetic nephropathy may require different approaches with combining clinical and pathological parameters that were not measured in the KFRE and the RPS DN Classification.
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Affiliation(s)
- Masayuki Yamanouchi
- Department of Nephrology and Laboratory Medicine, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
- Nephrology Center, Toranomon Hospital, Tokyo, Japan
- Nephrology Center, Toranomon Hospital Kajigaya, Kanagawa, Japan
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan
- * E-mail: (MY); (TW)
| | - Junichi Hoshino
- Nephrology Center, Toranomon Hospital, Tokyo, Japan
- Nephrology Center, Toranomon Hospital Kajigaya, Kanagawa, Japan
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan
| | - Yoshifumi Ubara
- Nephrology Center, Toranomon Hospital, Tokyo, Japan
- Nephrology Center, Toranomon Hospital Kajigaya, Kanagawa, Japan
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan
| | - Kenmei Takaichi
- Nephrology Center, Toranomon Hospital, Tokyo, Japan
- Nephrology Center, Toranomon Hospital Kajigaya, Kanagawa, Japan
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan
| | | | - Takeshi Fujii
- Department of Pathology, Toranomon Hospital, Tokyo, Japan
| | - Kenichi Ohashi
- Department of Pathology, Toranomon Hospital, Tokyo, Japan
- Department of Pathology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan
| | - Koki Mise
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Tadashi Toyama
- Division of Nephrology, Kanazawa University Hospital, Kanazawa, Japan
| | - Akinori Hara
- Division of Nephrology, Kanazawa University Hospital, Kanazawa, Japan
| | - Kiyoki Kitagawa
- Division of Internal Medicine, National Hospital Organization Kanazawa Medical Center, Kanazawa, Japan
| | - Miho Shimizu
- Division of Nephrology, Kanazawa University Hospital, Kanazawa, Japan
| | - Kengo Furuichi
- Division of Nephrology, Kanazawa University Hospital, Kanazawa, Japan
| | - Takashi Wada
- Department of Nephrology and Laboratory Medicine, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
- Division of Nephrology, Kanazawa University Hospital, Kanazawa, Japan
- * E-mail: (MY); (TW)
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Fiorentino M, Bolignano D, Tesar V, Pisano A, Biesen WV, Tripepi G, D'Arrigo G, Gesualdo L. Renal biopsy in patients with diabetes: a pooled meta-analysis of 48 studies. Nephrol Dial Transplant 2017; 32:97-110. [PMID: 27190327 DOI: 10.1093/ndt/gfw070] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Accepted: 03/01/2016] [Indexed: 01/19/2023] Open
Abstract
Background The utility of renal biopsy in patients with diabetes is highly debated. Diabetics with rapidly worsening renal disease are often 'clinically' labelled as having diabetic nephropathy (DN), whereas, in many cases, they are rather developing a non-diabetic renal disease (NDRD) or mixed forms (DN + NDRD). Methods We performed a systematic search for studies on patients with diabetes with data on the frequency of DN, NDRD and mixed forms, and assessed the positive predictive values (PPVs) and odds ratios (ORs) for such diagnoses by meta-analysing single-study prevalence. Possible factors explaining heterogeneity among the different diagnoses were explored by meta-regression. Results In the 48 included studies ( n = 4876), the prevalence of DN, NDRD and mixed forms ranged from 6.5 to 94%, 3 to 82.9% and 4 to 45.5% of the overall diagnoses, respectively. IgA nephropathy was the most common NDRD (3-59%). PPVs for DN, NDRD and mixed forms were 50.1% [95% confidence interval (CI): 44.7-55.2], 36.9% (95% CI: 32.3-41.8) and 19.7% (95% CI: 16.3-23.6), respectively. The PPV when combining NDRD and mixed forms was 49.2% (95% CI: 43.8-54.5). Meta-regression identified systolic pressure, HbA1c, diabetes duration and retinopathy as factors explaining heterogeneity for NDRD, creatinine and glomerular filtration rate for mixed forms and only serum creatinine for DN. ORs of DN versus NDRD and mixed forms were 1.71 (95% CI: 1.54-1.91) and 4.1 (95% CI: 3.43-4.80), respectively. Conclusions NDRD are highly prevalent in patients with diabetes. Clinical judgment alone can lead to wrong diagnoses and delay the establishment of adequate therapies. Risk stratification according to individual factors is needed for selecting patients who might benefit from biopsy.
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Affiliation(s)
- Marco Fiorentino
- Department of Emergency and Organ Transplantation, Nephrology, Dialysis and Transplantation Unit, University of Bari, Bari, Italy
| | - Davide Bolignano
- CNR-Institute of Clinical Physiology, Reggio Calabria, Italy.,European Renal Best Practice (ERBP), University Hospital, Ghent, Belgium
| | - Vladimir Tesar
- Department of Nephrology, 1st School of Medicine, Charles University, Prague, Czech Republic
| | - Anna Pisano
- CNR-Institute of Clinical Physiology, Reggio Calabria, Italy
| | - Wim Van Biesen
- European Renal Best Practice (ERBP), University Hospital, Ghent, Belgium
| | | | | | - Loreto Gesualdo
- Department of Emergency and Organ Transplantation, Nephrology, Dialysis and Transplantation Unit, University of Bari, Bari, Italy
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Kritmetapak K, Anutrakulchai S, Pongchaiyakul C, Puapairoj A. Clinical and pathological characteristics of non-diabetic renal disease in type 2 diabetes patients. Clin Kidney J 2017; 11:342-347. [PMID: 29942497 PMCID: PMC6007236 DOI: 10.1093/ckj/sfx111] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Accepted: 08/17/2017] [Indexed: 12/19/2022] Open
Abstract
Background Renal involvement in type 2 diabetes is mainly due to diabetic nephropathy (DN). Nevertheless, a sizable proportion of diabetic patients could actually have nondiabetic renal diseases (NDRDs) or DN plus NDRDs. This study aimed to explore the pathological features of NDRD in diabetic patients and to assess the predictability of diagnosing NDRD (±DN) versus isolated DN on the basis of clinical parameters. Methods Medical records of type 2 diabetes patients who underwent renal biopsy under suspicion of NDRD from January 2011 through November 2015 were analyzed retrospectively. Results A total of 101 patients were enrolled in this study. The most frequent indication for renal biopsy was recent onset of nephrotic syndrome (41%), followed by rapidly progressive renal failure (29%) and active urinary sediment (21%). On renal biopsy, 51% of patients had isolated DN, 20% had isolated NDRD and 29% had DN plus NDRD. IgA nephropathy was the most common cause of isolated NDRD, whereas acute tubular necrosis (39%) and acute interstitial nephritis (33%) were the main causes of NDRD superimposed on DN. Male gender, short-duration diabetes (<8 years), lower glycated hemoglobin and active urinary sediment (≥10 red and white blood cells per high-power field) were independent predictors of NDRD according to multiple logistic regression analysis. Conclusions Judicious use of renal biopsy revealed NDRD (±DN) in nearly half of type 2 diabetes patients with atypical renal presentation, especially in male patients with well-controlled diabetes, those who have had diabetes for a short duration and those with active urinary sediment.
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Affiliation(s)
- Kittrawee Kritmetapak
- Division of Nephrology, Department of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Sirirat Anutrakulchai
- Division of Nephrology, Department of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Chatlert Pongchaiyakul
- Division of Endocrinology and Metabolism, Department of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Anucha Puapairoj
- Department of Pathology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
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Lee YH, Kim KP, Kim YG, Moon JY, Jung SW, Park E, Kim JS, Jeong KH, Lee TW, Ihm CG, Jo YI, Choi HY, Park HC, Lee SY, Yang DH, Yi JH, Han SW, Lee SH. Clinicopathological features of diabetic and nondiabetic renal diseases in type 2 diabetic patients with nephrotic-range proteinuria. Medicine (Baltimore) 2017; 96:e8047. [PMID: 28885376 PMCID: PMC6392986 DOI: 10.1097/md.0000000000008047] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Heavy proteinuria with or without features of nephrotic syndrome is associated with many primary and systemic diseases. For diabetic patients, distinguishing nondiabetic renal disease (NDRD) from diabetic nephropathy (DN) is important in choosing treatment modalities and determining renal prognosis. However, clinical relevance of heavy proteinuria is inconsistent with clinical DN assessments. This study investigated the clinicopathological features and renal outcomes of DN and NDRD in type 2 diabetic patients with nephrotic-range proteinuria.We enrolled 220 cases of type 2 diabetic patients who underwent renal biopsy. They were grouped according to the presence of nephritic-range proteinuria and pathological features. Baseline characteristics, laboratory findings, types of pathological diagnosis, and renal outcomes were analyzed in patients with heavy proteinuria.Upon kidney biopsy, 129 patients (58.6%) showed nephritic-range proteinuria. Patients with heavy proteinuria (an average urine protein-to-creatinine ratio of 10,008 ± 7307 mg/gCr) showed lower serum albumin levels and higher total cholesterol levels, but did not show any difference in age, duration of diabetes, renal function, or the presence of retinopathy compared with those with mild-to-moderate proteinuria (an average urine protein-to-creatinine ratio of 1581 ± 979 mg/gCr). Renal biopsy revealed that the prevalence of NDRD was 37.2% in patients with heavy proteinuria, which was significantly lower than that in patients with mild-to-moderate proteinuria (63.7%). The most common pathological types of NDRD were membranous nephropathy (41.7%), IgA nephropathy (14.6%), and minimal change disease (10.4%). NDRD patients showed lower prevalence of diabetic retinopathy and better kidney function irrespective of proteinuria. Immunosuppressive treatment was administered more frequently in patients with heavy proteinuria (56.3%) compared with patients with mild-to-moderate proteinuria (20%) because of the pathological differences according to the amount of proteinuria. Renal outcomes were significantly worse in patients with DN than in patients with NDRD.DN patients with heavy proteinuria exhibited different prevalence of NDRD and worse prognosis. Renal biopsy in type 2 diabetic patients should be more extensively considered to accurately diagnose NDRD, guide further management, and predict renal outcomes, especially in patients with nephrotic-range proteinuria.
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Affiliation(s)
- Yu Ho Lee
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Ki-Pyo Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Yang Gyun Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Ju-Young Moon
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Su Woong Jung
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Eunji Park
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Jin Sug Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Kyung-Hwan Jeong
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Tae Won Lee
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Chun-Gyoo Ihm
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
| | - Young-Il Jo
- Division of Nephrology, Department of Internal Medicine, Konkuk University Medical Center
| | - Hoon-Young Choi
- Division of Nephrology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul
| | - Hyeong-Cheon Park
- Division of Nephrology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul
| | - So-Young Lee
- Division of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam
| | - Dong-Ho Yang
- Division of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam
| | - Joo-Hark Yi
- Division of Nephrology, Department of Internal Medicine, Hanyang University Guri Hospital, Guri, Korea
| | - Sang-Woong Han
- Division of Nephrology, Department of Internal Medicine, Hanyang University Guri Hospital, Guri, Korea
| | - Sang-Ho Lee
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University
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Diabetes mellitus as a cause or comorbidity of chronic kidney disease and its outcomes: the Gonryo study. Clin Exp Nephrol 2017; 22:328-336. [DOI: 10.1007/s10157-017-1451-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2016] [Accepted: 07/17/2017] [Indexed: 11/27/2022]
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Hung CC, Lin HYH, Hwang DY, Kuo IC, Chiu YW, Lim LM, Hwang SJ, Chen HC. Diabetic Retinopathy and Clinical Parameters Favoring the Presence of Diabetic Nephropathy could Predict Renal Outcome in Patients with Diabetic Kidney Disease. Sci Rep 2017; 7:1236. [PMID: 28432319 PMCID: PMC5430840 DOI: 10.1038/s41598-017-01204-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 03/27/2017] [Indexed: 12/25/2022] Open
Abstract
Diabetes duration, diabetic retinopathy (DR), and a diagnostic model have been proposed as clinical parameters favoring the presence of diabetic nephropathy (DN) in biopsied patients with diabetic kidney disease. DN, compared with non-diabetic renal disease, had poorer renal outcomes. We tested whether these clinical parameters favoring DN are associated with poorer renal outcomes in non-biopsied patients. In this study, 1330 patients with type 2 diabetes and chronic kidney disease stages 1-4 were included and divided according to diabetes mellitus (DM) duration >8 years, DR, or a diagnostic model for DN. These clinical parameters favoring DN were found in 62-77% of patients and associated with higher levels of proteinuria. In a Cox survival analysis, DR and the diagnostic model favoring DN were associated with an increased risk for end-stage renal disease with adjusted hazard ratios of 1.69 (95% CI: 1.16-2.45, P = 0.006) and 1.66 (95% CI: 1.05-2.61, P = 0.029), respectively. DR was associated with an increased risk for rapid renal disease progression. DM >8 years was not associated with renal outcome. Propensity score-matched analyses also showed similar results. In conclusion, DR and the diagnostic model favoring DN were associated with poorer renal outcomes.
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Affiliation(s)
- Chi-Chih Hung
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hugo You-Hsien Lin
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Daw-Yang Hwang
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - I-Ching Kuo
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Wen Chiu
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Faculty of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Lee-Moay Lim
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
| | - Shang-Jyh Hwang
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Faculty of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Chun Chen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Faculty of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Cheng L, Fu P. Pathology and Prognosis of Type 2 Diabetes Mellitus with Renal Involvement. Chin Med J (Engl) 2017; 130:883-884. [PMID: 28397715 PMCID: PMC5407032 DOI: 10.4103/0366-6999.204115] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Affiliation(s)
- Lu Cheng
- Division of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Ping Fu
- Division of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
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Bermejo S, Pascual J, Soler MJ. The large spectrum of renal disease in diabetic patients. Clin Kidney J 2017; 10:255-256. [PMID: 28396743 PMCID: PMC5381242 DOI: 10.1093/ckj/sfw137] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 11/14/2016] [Indexed: 12/13/2022] Open
Abstract
The prevalence of diabetic nephropathy (DN) among diabetic patients seems to be overestimated. Recent studies with renal biopsies show that the incidence of non-diabetic nephropathy (NDN) among diabetic patients is higher than expected. Renal impairment of diabetic patients is frequently attributed to DN without meeting the KDOQI criteria or performing renal biopsy to exclude NDN. In this editorial, we update the spectrum of renal disease in diabetic patients and the impact on diagnosis, prognosis and therapy.
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Affiliation(s)
- Sheila Bermejo
- Department of Nephrology, Hospital del Mar, Barcelona, Spain; Department of Nephrology, Consorci Sanitari del Garraf, Vilanova I la Geltrú, Spain; Department of Nephrology, Fundació Althaia, Manresa, Spain
| | - Julio Pascual
- Department of Nephrology, Hospital del Mar, Barcelona, Spain; Institut Mar for Medical Research (IMIM), Barcelona, Spain
| | - Maria José Soler
- Department of Nephrology, Hospital del Mar, Barcelona, Spain; Institut Mar for Medical Research (IMIM), Barcelona, Spain
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Li L, Zhang X, Li Z, Zhang R, Guo R, Yin Q, Yang L, Yue R, Su B, Huang S, Xu H, He C, Liu F. Renal pathological implications in type 2 diabetes mellitus patients with renal involvement. J Diabetes Complications 2017; 31:114-121. [PMID: 27838100 DOI: 10.1016/j.jdiacomp.2016.10.024] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 10/21/2016] [Accepted: 10/24/2016] [Indexed: 02/05/2023]
Abstract
AIMS To investigate the renal pathological implications in type 2 diabetes mellitus patients with renal involvement. METHODS A total of 328 type 2 diabetes mellitus (T2DM) patients with renal involvement who underwent a renal biopsy and received follow-up for at least one year were recruited in our study. The patients were divided into the diabetic nephropathy (DN), non-diabetic renal disease (NDRD), and NDRD superimposed on DN groups based on the pathological diagnosis. Renal outcomes were defined by the initiation of renal replacement therapy or doubling of the serum creatinine. Kaplan-Meier analysis was used to compare renal survival, and Cox proportional hazard analysis was used to determine the predictors of renal outcomes in the DN group. RESULTS Renal biopsy findings revealed that 188 patients (57.32%) had pure DN, 121 patients (36.89%) had NDRD alone, and 19 patients (5.79%) had NDRD superimposed on DN. The most frequent subclassification of NDRD was membranous nephropathy (MN). Compared with the NDRD and NDRD superimposed on DN groups, patients with pure DN had poorer renal function and lower renal survival rates. In the DN group, the five-year renal survival rates of glomerular classes of I, IIa, IIb, III and IV were 100%, 84.62%, 60%, 47.5% and 33.33%, respectively. Multivariate Cox proportional hazard analysis showed that the glomerular lesions, proteinuria and serum creatinine were independent risk factors for renal outcomes, while interstitial fibrosis/inflammation and arteriolar hyalinosis were not independently associated with renal outcomes in the DN group. CONCLUSIONS Making an accurate pathologic diagnosis by renal biopsy is crucial for diabetes mellitus (DM) patients with renal involvement. The findings of our present study indicated that patients with pure DN had poorer renal outcomes than patients with NDRD or NDRD superimposed on DN. The classification of glomerular lesions, proteinuria and serum creatinine were independent risk factors for renal outcomes in the DN group. More studies with large samples and longer time follow-up are needed to evaluate the relationship between pathological changes and clinical characteristics in T2DM patients who have renal involvement.
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Affiliation(s)
- Li Li
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Xiuhui Zhang
- Division of Pathology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Zhicheng Li
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Rui Zhang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Ruikun Guo
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Qinghua Yin
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Lichuan Yang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Rongzheng Yue
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Baihai Su
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Songmin Huang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Huan Xu
- Division of Pathology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Cijiang He
- Division of Nephrology, Mount Sinai School of Medicine, New York, NY 10029, USA
| | - Fang Liu
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China.
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Qi C, Mao X, Zhang Z, Wu H. Classification and Differential Diagnosis of Diabetic Nephropathy. J Diabetes Res 2017; 2017:8637138. [PMID: 28316995 PMCID: PMC5337846 DOI: 10.1155/2017/8637138] [Citation(s) in RCA: 150] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 01/26/2017] [Indexed: 11/18/2022] Open
Abstract
Diabetic nephropathy (DN) is a major cause of end-stage renal disease throughout the world in both developed and developing countries. This review briefly introduces the characteristic pathological changes of DN and Tervaert pathological classification, which divides DN into four classifications according to glomerular lesions, along with a separate scoring system for tubular, interstitial, and vascular lesions. Given the heterogeneity of the renal lesions and the complex mechanism underlying diabetic nephropathy, Tervaert classification has both significance and controversies in the guidance of diagnosis and prognosis. Applications and evaluations using Tervaert classification and indications for renal biopsy are summarized in this review according to recent studies. Meanwhile, differential diagnosis with another nodular glomerulopathy and the situation that a typical DN superimposed with a nondiabetic renal disease (NDRD) are discussed and concluded in this review.
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Affiliation(s)
- Chenyang Qi
- Department of Pathology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xing Mao
- Department of Pathology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhigang Zhang
- Department of Pathology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Institute for Kidneys and Dialysis, Shanghai, China
| | - Huijuan Wu
- Department of Pathology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Institute for Kidneys and Dialysis, Shanghai, China
- *Huijuan Wu:
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Tan J, Zwi LJ, Collins JF, Marshall MR, Cundy T. Presentation, pathology and prognosis of renal disease in type 2 diabetes. BMJ Open Diabetes Res Care 2017; 5:e000412. [PMID: 28878938 PMCID: PMC5574462 DOI: 10.1136/bmjdrc-2017-000412] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Revised: 07/07/2017] [Accepted: 07/11/2017] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE Non-diabetic renal disease (NDRD) is common in patients with type 2 diabetes (T2D), but the relationship between its presentation and prognosis is unknown. RESEARCH DESIGN AND METHODS In a retrospective cohort study, we compared renal and patient survival among 263 patients with T2D who had native renal biopsies between 2002 and 2008 from three Auckland hospitals in New Zealand. The presence of diabetic nephropathy (DN), NDRD or mixed (DN and NDRD) was determined from biopsy. We examined clinical associations according to NDRD etiologies and mode of presentation-acute (defined by acute kidney injury (AKI)) or non-acute. Patients were followed until end-stage renal disease, death or December 2015. Survival was compared using Log-rank test. RESULTS 94 (36%) patients had DN, 72 (27%) had NDRD, and 97 (37%) had mixed pathologies. Obesity-related focal segmental glomerulosclerosis was the most common NDRD (46%) in patients with non-acute presentations, whereas interstitial nephritis or immune-complex glomerulonephritides were the most prevalent in those with acute presentations (60%). DN was commonly associated with AKI (p<0.001). The prevalence of DN increased with diabetes duration (p<0.001), but NDRD was still found in 55% of subjects with ≥14 years T2D. NDRD was strongly associated with the absence of retinopathy (p<0.001). Renal survival was best in the NDRD group (p<0.001). Among those with DN, renal prognosis was worse in those with more advanced DN lesions and those with an acute presentation (p<0.001). The proportion of all-cause mortality was similar in all three groups, but overall survival was poorest in the DN group (p=0.025). CONCLUSIONS Renal disease in patients with T2D is heterogeneous. The renal prognosis differs markedly according to histopathological diagnosis and mode of presentation.
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Affiliation(s)
- Jasmine Tan
- Auckland Diabetes Centre, Green Lane Clinical Centre, Auckland, New Zealand
- Department of Renal Medicine, North Shore Hospital, Auckland, New Zealand
| | - L Jonathan Zwi
- Department of Anatomical Pathology, Auckland City Hospital, Auckland, New Zealand
| | - John F Collins
- Department of Renal Medicine, Auckland City Hospital, Auckland, New Zealand
| | - Mark R Marshall
- Department of Renal Medicine, Middlemore Hospital, Auckland, New Zealand
| | - Tim Cundy
- Auckland Diabetes Centre, Green Lane Clinical Centre, Auckland, New Zealand
- Department of Medicine, Faculty of Medical & Health Sciences, University of Auckland, Auckland, New Zealand
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Dong Z, Wang Y, Qiu Q, Zhang X, Zhang L, Wu J, Wei R, Zhu H, Cai G, Sun X, Chen X. Clinical predictors differentiating non-diabetic renal diseases from diabetic nephropathy in a large population of type 2 diabetes patients. Diabetes Res Clin Pract 2016; 121:112-118. [PMID: 27693840 DOI: 10.1016/j.diabres.2016.09.005] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 09/07/2016] [Accepted: 09/08/2016] [Indexed: 10/21/2022]
Abstract
AIMS Non-diabetic renal diseases (NDRDs) are associated with better renal outcomes than diabetic nephropathy (DN). This study was conducted to determine the common clinical markers predicting NDRDs in type 2 diabetes patients. METHODS Patients with type 2 diabetes mellitus who underwent a renal biopsy were screened. Eligible patients were categorized into two groups: DN group and NDRD group. Patient's clinical characteristics and laboratory data were collected. Logistic regression analysis was performed to identify risk factors for NDRD development, and the diagnostic performance of these variables was evaluated. RESULTS The study included 248 patients, 96 (38.71%) in the DN group and 152 (61.29%) in the NDRD group. Patients in the NDRD group had a shorter duration of DM and higher hemoglobin, estimated glomerular filtration rate, and urine osmotic pressure values as well as a higher incidence of glomerular hematuria than patients in the DN group. In the NDRD patients, the most common pathological type was membranous nephropathy (55, 36.18%). Absence of retinopathy (OR, 44.696, 95% CI, 15.91-125.566), glomerular hematuria (OR, 9.587, 95% CI, 2.027-45.333), and DM history ⩽5years (OR, 4.636, 95% CI, 1.721-12.486) were significant and independent risk factors for the development of NDRD (P<0.01). Absence of retinopathy achieved the overall highest diagnostic efficiency with a sensitivity of 92.11% and specificity of 82.29%. Glomerular hematuria had the highest specificity (93.75%). CONCLUSION Shorter duration of diabetes (⩽5years), absence of retinopathy, and presence of glomerular hematuria were independent indicators associated with NDRDs, indicating the need for renal biopsy.
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Affiliation(s)
- Zheyi Dong
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Yuanda Wang
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Qiang Qiu
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Xueguang Zhang
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Li Zhang
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China.
| | - Jie Wu
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Ribao Wei
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Hanyu Zhu
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Guangyan Cai
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Xuefeng Sun
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China
| | - Xiangmei Chen
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory, National Clinical Research Center of Kidney Diseases, Beijing, China.
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49
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Piccoli GB, Ventrella F, Capizzi I, Vigotti FN, Mongilardi E, Grassi G, Loi V, Cabiddu G, Avagnina P, Versino E. Low-Protein Diets in Diabetic Chronic Kidney Disease (CKD) Patients: Are They Feasible and Worth the Effort? Nutrients 2016; 8:E649. [PMID: 27775639 PMCID: PMC5084036 DOI: 10.3390/nu8100649] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Revised: 09/11/2016] [Accepted: 10/03/2016] [Indexed: 12/29/2022] Open
Abstract
Low-protein diets (LPDs) are often considered as contraindicated in diabetic patients, and are seldom studied. The aim of this observational study was to provide new data on this issue. It involved 149 diabetic and 300 non-diabetic patients who followed a LPD, with a personalized approach aimed at moderate protein restriction (0.6 g/day). Survival analysis was performed according to Kaplan-Meier, and multivariate analysis with Cox model. Diabetic versus non-diabetic patients were of similar age (median 70 years) and creatinine levels at the start of the diet (2.78 mg/dL vs. 2.80 mg/dL). There was higher prevalence of nephrotic proteinuria in diabetic patients (27.52% vs. 13.67%, p = 0.002) as well as comorbidity (median Charlson index 8 vs. 6 p = 0.002). Patient survival was lower in diabetic patients, but differences levelled off considering only cases with Charlson index > 7, the only relevant covariate in Cox analysis. Dialysis-free survival was superimposable in the setting of good compliance (Mitch formula: 0.47 g/kg/day in both groups): about 50% of the cases remained dialysis-free 2 years after the first finding of e-GFR (estimated glomerular filtration rate) < 15 mL/min, and 1 year after reaching e-GFR < 10 mL/min. In patients with type 2 diabetes, higher proteinuria was associated with mortality and initiation of dialysis. In conclusion, moderately restricted LPDs allow similar results in diabetic and non non-diabetic patients with similar comorbidity.
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Affiliation(s)
- Giorgina B Piccoli
- Department of Clinical and Biological Sciences, University of Torino, Torino 10100, Italy.
- Nephrologie, Centre Hospitalier Le Mans, Le Mans 72100, France.
| | - Federica Ventrella
- SS Nephrology, Department of Clinical and Biological Sciences, University of Torino, Torino 10100, Italy.
| | - Irene Capizzi
- SS Nephrology, Department of Clinical and Biological Sciences, University of Torino, Torino 10100, Italy.
| | - Federica N Vigotti
- SS Nephrology, Department of Clinical and Biological Sciences, University of Torino, Torino 10100, Italy.
| | - Elena Mongilardi
- SS Nephrology, Department of Clinical and Biological Sciences, University of Torino, Torino 10100, Italy.
| | - Giorgio Grassi
- SCDU Endocrinologia, Diabetologia e Metabolismo, Città della Salute e della Scienza Torino, Torino 10100, Italy.
| | - Valentina Loi
- SC Nefrologia, Brotzu Hospital, Cagliari 09134, Italy.
| | | | - Paolo Avagnina
- SSD Clinical Nutrition, Department of Clinical and Biological Sciences, University of Torino, Torino 10100, Italy.
| | - Elisabetta Versino
- SSD Epidemiology, Department of Clinical and Biological Sciences, University of Torino, Torino 10100, Italy.
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50
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Bermejo S, Soler MJ, Gimeno J, Barrios C, Rodríguez E, Mojal S, Pascual J. Predictive factors for non-diabetic nephropathy in diabetic patients. The utility of renal biopsy. Nefrologia 2016; 36:535-544. [PMID: 27523263 DOI: 10.1016/j.nefro.2016.06.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 05/22/2016] [Accepted: 06/25/2016] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Diabetic renal lesions can only be diagnosed by kidney biopsy. These biopsies have a high prevalence of non-diabetic lesions. The aims of the study were to determine the predictability of non-diabetic nephropathy (NDN) in diabetics and study differences in survival and renal prognosis. In addition, we evaluated histological lesions and the effect of proteinuria on survival and renal prognosis in patients with diabetic nephropathy (DN). MATERIAL AND METHODS A descriptive, retrospective study of kidney biopsies of diabetics between 1990 and 2013 in our centre. RESULTS 110 patients were included in the study: 87 men (79%), mean age 62 years (50-74), mean serum creatinine 2.6mg/dl (0.9-4.3) and proteinuria 3.5g/24hours (0.5-6.5). 61.8% showed NDN, 34.5% showed DN and 3,6% showed DN+NDN. The most common NDN was IgA nephropathy (13,2%). In the multivariate analysis, creatinine (OR: 1.48, 1.011-2.172, p=0.044), proteinuria/24hours (OR: 0.813, 0.679-0.974, p=0.025), duration of diabetes (OR: 0.992, 0.987-0.998, p=0.004), age (OR: 1.068, 95% CI: 1.010-1.129, p=0.022), and diabetic retinopathy (OR: 0.23, 0.066-0.808, p=0.022) were independently associated with NDN. We did not find any differences in survival or renal prognosis. Concerning patients with DN, increased nodular mesangial expansion (p=0.02) and worse renal prognosis (p=0.004) were observed in nephrotic proteinuria as compared to non-nephrotic proteinuria. We did not find differences in patient survival. CONCLUSIONS The most common cause of NDN was IgA nephropathy. Higher creatinine levels, shorter duration of diabetes, absence of diabetic retinopathy, lower proteinuria, and older age were risk factors for NDN. Patients with DN and nephrotic-range proteinuria had worse renal prognosis.
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Affiliation(s)
- Sheila Bermejo
- Servicio de Nefrología, Hospital del Mar, REDINREN RD12/0021/0024, Barcelona, España
| | - María José Soler
- Servicio de Nefrología, Hospital del Mar, REDINREN RD12/0021/0024, Barcelona, España.
| | - Javier Gimeno
- Servicio de Anatomía Patológica, Hospital del Mar, REDINREN RD12/0021/0024, Barcelona, España
| | - Clara Barrios
- Servicio de Nefrología, Hospital del Mar, REDINREN RD12/0021/0024, Barcelona, España
| | - Eva Rodríguez
- Servicio de Nefrología, Hospital del Mar, REDINREN RD12/0021/0024, Barcelona, España
| | - Sergi Mojal
- Fundación IMIM, Hospital del Mar, REDINREN RD12/0021/0024, Barcelona, España
| | - Julio Pascual
- Servicio de Nefrología, Hospital del Mar, REDINREN RD12/0021/0024, Barcelona, España
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