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Wang Y, Lu J. The Management of Diabetes with Hyperuricemia: Can We Hit Two Birds with One Stone? J Inflamm Res 2023; 16:6431-6441. [PMID: 38161355 PMCID: PMC10757772 DOI: 10.2147/jir.s433438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/31/2023] [Indexed: 01/03/2024] Open
Abstract
Serum urate (SU) is an independent predictor for the incidence of diabetes. In current diabetes treatment regimens, there is insufficient appreciation of the importance of hyperuricemia (HU) in disease control and prevention. To summarize the updated knowledge on the effects of SU on β-cell function, insulin resistance and chronic diabetic complications, as well as to evaluate the management of patients with both HU and diabetes, we searched the MEDLINE PubMed database, and included 285 journal articles. An inverted U-shaped relationship between fasting plasma glucose and SU levels was established in this review. Elevated SU levels may enhance the development of chronic diabetic complications, including macrovascular and microvascular dysfunction. Diet and exercise are essential parts of the lifestyle changes necessary for HU and diabetes management. Glucose- and urate-lowering drug selection and combination should be made with the principle of ameliorating, and at least not deteriorating, diabetes and HU. Medical artificial intelligence technology and monitoring systems can help to improve the effectiveness of long-term management of HU and diabetes through digital healthcare. This study comprehensively reviews and provides a scientific and reliable basis for and viewpoints on the clinical management of diabetes and HU.
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Affiliation(s)
- Yunyang Wang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
| | - Jie Lu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
- Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
- Shandong Provincial Clinical Research Center for Immune Diseases and Gout, the Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China
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Ou SM, Tsai MT, Lee KH, Tseng WC, Yang CY, Chen TH, Bin PJ, Chen TJ, Lin YP, Sheu WHH, Chu YC, Tarng DC. Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms. BioData Min 2023; 16:8. [PMID: 36899426 PMCID: PMC10007785 DOI: 10.1186/s13040-023-00324-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 02/17/2023] [Indexed: 03/12/2023] Open
Abstract
OBJECTIVES Type 2 diabetes mellitus (T2DM) imposes a great burden on healthcare systems, and these patients experience higher long-term risks for developing end-stage renal disease (ESRD). Managing diabetic nephropathy becomes more challenging when kidney function starts declining. Therefore, developing predictive models for the risk of developing ESRD in newly diagnosed T2DM patients may be helpful in clinical settings. METHODS We established machine learning models constructed from a subset of clinical features collected from 53,477 newly diagnosed T2DM patients from January 2008 to December 2018 and then selected the best model. The cohort was divided, with 70% and 30% of patients randomly assigned to the training and testing sets, respectively. RESULTS The discriminative ability of our machine learning models, including logistic regression, extra tree classifier, random forest, gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), and light gradient boosting machine were evaluated across the cohort. XGBoost yielded the highest area under the receiver operating characteristic curve (AUC) of 0.953, followed by extra tree and GBDT, with AUC values of 0.952 and 0.938 on the testing dataset. The SHapley Additive explanation summary plot in the XGBoost model illustrated that the top five important features included baseline serum creatinine, mean serum creatine within 1 year before the diagnosis of T2DM, high-sensitivity C-reactive protein, spot urine protein-to-creatinine ratio and female gender. CONCLUSIONS Because our machine learning prediction models were based on routinely collected clinical features, they can be used as risk assessment tools for developing ESRD. By identifying high-risk patients, intervention strategies may be provided at an early stage.
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Affiliation(s)
- Shuo-Ming Ou
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ming-Tsun Tsai
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Kuo-Hua Lee
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wei-Cheng Tseng
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Yu Yang
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Tz-Heng Chen
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Pin-Jie Bin
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Tzeng-Ji Chen
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Family Medicine, Taipei Veterans General Hospital, Hsinchu Branch, Hsinchu, Taiwan.,Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yao-Ping Lin
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wayne Huey-Herng Sheu
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Division of Endocrinology and Metabolism, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Molecular and Genetic Medicine, National Health Research Institute, Miaoli, Taiwan
| | - Yuan-Chia Chu
- Information Management Office, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan. .,Big Data Center, Taipei Veterans General Hospital, Taipei, Taiwan. .,Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
| | - Der-Cherng Tarng
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan. .,School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Department and Institute of Physiology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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3
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Zhu L, Sun J, Wang X, Tian R, Zhou Y, Yu J, An X. Elevated serum uric acid is not an independent risk factor for the occurrence of Type 2 diabetic kidney disease in Chinese populations. Medicine (Baltimore) 2022; 101:e32128. [PMID: 36550864 PMCID: PMC9771223 DOI: 10.1097/md.0000000000032128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Previous studies suggested that increased serum uric acid (SUA) level is an independent risk factor for albuminuria in Type 2 diabetes (T2D) patients. However, the association between SUA and onset of Type 2 DKD (T2DKD) remained to be clarified. This was a cross-sectional clinical study in which 1210 Chinese T2D patients were enrolled. According to the urine albumin-to-creatinine ratio (UACR), the cohort was divided into normal-albuminuria (UACR < 30 mg/g), micro-albuminuria (UACR 30-300 mg/g) and macro-albuminuria (UACR > 300 mg/g). The micro- and macro-albuminuria groups were combined into albuminuria category. Results showed that T2D patients with macro-albuminuria have significantly higher SUA than the other 2 groups (P < .001). In the binary logistic regression model, the subjects with SUA higher than 420 μmol/L were associated with a 2-fold increase in the odds of albuminuria (odds ratio = 2.024, 95% confidence interval: 1.232-3.325, P = .005), as compared with those with SUA lower than 300 μmol/L. Moreover, the multinomial regression analysis revealed that the subjects with SUA higher than 420 μmol/L had about 3-fold increase in the odds of macro-albuminuria (odds ratio = 3.758, 95% confidence interval: 2.051-6.885, P < .001), as compared with those with SUA lower than 300 μmol/L. However, SUA was not significantly associated with the presence of micro-albuminuria. Although the SUAwas not independently risk factor for micro-albuminuria, it was closely correlated with the development of macro-albuminuria in Chinese T2DKD patients. Elevated SUA may be useful for predicting the occurrence of macro-albuminuria but not onset of micro-albuminuria at the early stage of T2DKD.
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Affiliation(s)
- Lin Zhu
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jiaxing Sun
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xuening Wang
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ruina Tian
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yuexin Zhou
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jiangyi Yu
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xiaofei An
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- * Correspondence: Xiaofei An, Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Han-Zhong Rd, Nanjing, Jiangsu 210029, China (e-mail: )
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Luo C, He D, Yang H, Zhu C, Zhu J, Hu Z. The effect of liraglutide on renal function in type 2 diabetes: a meta-analysis of randomized controlled studies. Afr Health Sci 2022; 22:267-274. [PMID: 36910413 PMCID: PMC9993257 DOI: 10.4314/ahs.v22i3.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction The efficacy of liraglutide on renal function in type 2 diabetes remains controversial. We conduct a systematic review and meta-analysis to explore the influence of liraglutide versus placebo on renal function in type 2 diabetes. Methods We search PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through March 2020 for randomized controlled trials (RCTs) assessing the effect of liraglutide versus placebo on renal function in type 2 diabetes. This meta-analysis is performed using the random-effect model. Results Seven RCTs are included in the meta-analysis. Overall, compared with control group in type 2 diabetes, liraglutide treatment shows no obvious effect on GFR (SMD=0.02; 95% CI=-0.43 to 0.47; P=0.94), RBF (SMD=-0.28; 95% CI=-0.80 to 0.24; P=0.29) or death (RR=1.93; 95% CI=0.71 to 5.21; P=0.20), but is associated with significantly decreased ACR (SMD=-0.82; 95% CI=-1.39 to -0.26; P=0.004) and systolic blood pressure (MD=-9.60; 95% CI=-17.46 to -1.73; P=0.02), as well as increased heart rate (MD=5.39; 95% CI=3.26 to 7.52; P<0.00001). Conclusions Liraglutide treatment may provide some benefits for protecting renal function in type 2 diabetes.
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Affiliation(s)
- Cheng Luo
- Department of Endocrinology, The Quzhou Affiliated of Wenzhou Medical University, Quzhou People's Hospital, Zhejiang, P.R. China
| | - Dongjuan He
- Department of Endocrinology, The Quzhou Affiliated of Wenzhou Medical University, Quzhou People's Hospital, Zhejiang, P.R. China
| | - HongBin Yang
- Department of Endocrinology, The Quzhou Affiliated of Wenzhou Medical University, Quzhou People's Hospital, Zhejiang, P.R. China
| | - Chunyan Zhu
- Department of Endocrinology, The Quzhou Affiliated of Wenzhou Medical University, Quzhou People's Hospital, Zhejiang, P.R. China
| | - Jiajun Zhu
- Department of Endocrinology, The Quzhou Affiliated of Wenzhou Medical University, Quzhou People's Hospital, Zhejiang, P.R. China
| | - Zhaohui Hu
- Department of Endocrinology, The Quzhou Affiliated of Wenzhou Medical University, Quzhou People's Hospital, Zhejiang, P.R. China
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Gao Z, Zhu Y, Sun X, Zhu H, Jiang W, Sun M, Wang J, Liu L, Zheng H, Qin Y, Zhang S, Yang Y, Xu J, Yang J, Shan C, Chang B. Establishment and validation of the cut-off values of estimated glomerular filtration rate and urinary albumin-to-creatinine ratio for diabetic kidney disease: A multi-center, prospective cohort study. Front Endocrinol (Lausanne) 2022; 13:1064665. [PMID: 36578951 PMCID: PMC9791215 DOI: 10.3389/fendo.2022.1064665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 11/29/2022] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE We aimed to study the cut-off values of estimated glomerular filtration rate (eGFR) and the urinary albumin creatinine ratio (UACR) in the normal range for diabetic kidney disease (DKD). METHODS In this study, we conducted a retrospective, observational cohort study included 374 type 2 diabetic patients who had baseline eGFR ≥60 mL/min/1.73 m2 and UACR <30 mg/g with up to 6 years of follow-up. The results were further validated in a multi-center, prospective cohort study. RESULTS In the development cohort, baseline eGFR (AUC: 0.90, cut-off value: 84.8 mL/min/1.73 m2, sensitivity: 0.80, specificity: 0.85) or UACR (AUC: 0.74, cut-off value: 15.5mg/g, sensitivity: 0.69, specificity: 0.63) was the most effective single predictor for DKD. Moreover, compared with eGFR or UACR alone, the prediction model consisted of all of the independent risk factors did not improve the predictive performance (P >0.05). The discrimination of eGFR at the cut-off value of 84.80 mL/min/1.73 m2 or UACR at 15.5mg/g with the largest Youden's index was further confirmed in the validation cohort. The decrease rate of eGFR was faster in patients with UACR ≥15.5mg/g (P <0.05). Furthermore, the decrease rate of eGFR or increase rate of UACR and the incidence and severity of cardiovascular disease (CVD) were higher in patients with eGFR ≤84.8 mL/min/1.73 m2 or UACR ≥15.5mg/g (P <0.05). CONCLUSIONS In conclusion, eGFR ≤84.8mL/min/1.73 m2 or UACR ≥15.5mg/g in the normal range may be an effective cut-off value for DKD and may increase the incidence and severity for CVD in type 2 diabetic patients.
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Affiliation(s)
- Zhongai Gao
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Yanjuan Zhu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Xiaoyue Sun
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Hong Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Wenhui Jiang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Mengdi Sun
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Jingyu Wang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Le Liu
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Hui Zheng
- Department of endocrinology, TEDA International Cardiovascular Disease Hospital, Tianjin, China
| | - Yongzhang Qin
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Shuang Zhang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Yanhui Yang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Jie Xu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Juhong Yang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- *Correspondence: Baocheng Chang, ; Chunyan Shan, ; Juhong Yang,
| | - Chunyan Shan
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- *Correspondence: Baocheng Chang, ; Chunyan Shan, ; Juhong Yang,
| | - Baocheng Chang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- *Correspondence: Baocheng Chang, ; Chunyan Shan, ; Juhong Yang,
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Moazzeni SS, Arani RH, Hasheminia M, Tohidi M, Azizi F, Hadaegh F. High Incidence of Chronic Kidney Disease among Iranian Diabetic Adults: Using CKD-EPI and MDRD Equations for Estimated Glomerular Filtration Rate. Diabetes Metab J 2021; 45:684-697. [PMID: 33715338 PMCID: PMC8497933 DOI: 10.4093/dmj.2020.0109] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 09/27/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND To investigate the population based incidence rate of chronic kidney disease (CKD) and its potential risk factors among Iranian diabetic adults during over 14 years of follow-up. METHODS Two different equations (Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI] and Modification of Diet in Renal Disease [MDRD]) were applied for the calculating the estimated glomerular filtration rate (eGFR). Among a total of 1,374 diabetic Tehranian adults, 797 and 680 individuals were eligible for CKD-EPI and MDRD analyses, respectively. CKD was defined as eGFR lower than 60 mL/min/1.73 m2. Multivariable Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CI) for all potential risk factors. RESULTS The incidence rates (95% CI) of CKD per 1,000 person-years were 43.84 (39.49 to 48.66) and 55.80 (50.29 to 61.91) based on CKD-EPI and MDRD equations, respectively. Being older, a history of cardiovascular disease, and having lower levels of eGFR were significant risk factors in both equations. Moreover, in CKD-EPI, using glucose-lowering medications and hypertension, and in MDRD, female sex and fasting plasma glucose ≥10 mmol/L were also independent risk factors. Regarding the discrimination index, CKD-EPI equation showed a higher range of C-index for the predicted probability of incident CKD in the full-adjusted model, compared to MDRD equation (0.75 [0.72 to 0.77] vs. 0.69 [0.66 to 0.72]). CONCLUSION We found an incidence rate of more than 4%/year for CKD development among our Iranian diabetic population. Compared to MDRD, it can be suggested that CKD-EPI equation can be a better choice to use for prediction models of incident CKD among the Iranian diabetic populations.
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Affiliation(s)
- Seyyed Saeed Moazzeni
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reyhane Hizomi Arani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Tohidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Corresponding author: Farzad Hadaegh https://orcid.org/0000-0002-8935-2744 Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Parvaneh Street, Velenjak, Tehran 19395-4763, Iran E-mail:
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Shin JI, Chang AR, Grams ME, Coresh J, Ballew SH, Surapaneni A, Matsushita K, Bilo HJG, Carrero JJ, Chodick G, Daratha KB, Nadkarni GN, Nelson RG, Nowak C, Stempniewicz N, Sumida K, Traynor JP, Woodward M, Sang Y, Gansevoort RT. Albuminuria Testing in Hypertension and Diabetes: An Individual-Participant Data Meta-Analysis in a Global Consortium. Hypertension 2021; 78:1042-1052. [PMID: 34365812 DOI: 10.1161/hypertensionaha.121.17323] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Albuminuria is an under-recognized component of chronic kidney disease definition, staging, and prognosis. Guidelines, particularly for hypertension, conflict on recommendations for urine albumin-to-creatinine ratio (ACR) measurement. Separately among 1 344 594 adults with diabetes and 2 334 461 nondiabetic adults with hypertension from the chronic kidney disease Prognosis Consortium, we assessed ACR testing, estimated the prevalence and incidence of ACR ≥30 mg/g and developed risk models for ACR ≥30 mg/g. The ACR screening rate (cohort range) was 35.1% (12.3%-74.5%) in diabetes and 4.1% (1.3%-20.7%) in hypertension. Screening was largely unrelated to the predicted risk of prevalent albuminuria. The median prevalence of ACR ≥30 mg/g across cohorts was 32.1% in diabetes and 21.8% in hypertension. Higher systolic blood pressure was associated with a higher prevalence of albuminuria (odds ratio [95% CI] per 20 mm Hg in diabetes, 1.50 [1.42-1.60]; in hypertension, 1.36 [1.28-1.45]). The ratio of undetected (due to lack of screening) to detected ACR ≥30 mg/g was estimated at 1.8 in diabetes and 19.5 in hypertension. Among those with ACR <30 mg/g, the median 5-year incidence of ACR ≥30 mg/g across cohorts was 23.9% in diabetes and 21.7% in hypertension. Incident albuminuria was associated with initiation of renin-angiotensin-aldosterone system inhibitors (incidence-rate ratio [95% CI], diabetes 3.09 [2.71-3.53]; hypertension 2.87 [2.29-3.59]). In conclusion, despite similar risk of albuminuria to those with diabetes, ACR screening in patients with hypertension was low. Our findings suggest that regular albuminuria screening should be emphasized to enable early detection of chronic kidney disease and initiation of treatment with cardiovascular and renal benefits.
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Affiliation(s)
- Jung-Im Shin
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.)
| | - Alex R Chang
- Department of Nephrology and Kidney Health Research Institute, Geisinger Medical Center, Danville, Pennsylvania (A.R.C.)
| | - Morgan E Grams
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.)
| | - Josef Coresh
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.)
| | - Shoshana H Ballew
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.)
| | - Aditya Surapaneni
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.)
| | - Kunihiro Matsushita
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.)
| | - Henk J G Bilo
- Diabetes Centre, Isala, and Department of Internal Medicine, University of Groningen, University Medical Center Groningen, the Netherlands (H.J.G.B.)
| | - Juan J Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden (J.J.C.)
| | - Gabriel Chodick
- Medical Division, Maccabi Healthcare Services, and Sackler Faculty of Medicine, Tel Aviv University, Israel (G.C.)
| | - Kenn B Daratha
- Providence St. Joseph Health on behalf of CURE-CKD Investigators, Spokane, WA (K.B.D.)
| | - Girish N Nadkarni
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York (G.N.N.)
| | - Robert G Nelson
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona (R.G.N.)
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden (C.N.)
| | - Nikita Stempniewicz
- AMGA (American Medical Group Association), Alexandria, Virginia and OptumLabs Visiting Fellow, Eden Prairie, MN (N.S.)
| | - Keiichi Sumida
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN (K.S.)
| | - Jamie P Traynor
- Glasgow Renal Transplant Unit, Queen Elizabeth University Hospital Glasgow Scotland, United Kingdom (J.P.T.)
| | - Mark Woodward
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.).,George Institute for Global Health, Australia, and George Institute for Global Health, Imperial College, London, United Kingdom (M.W.)
| | - Yingying Sang
- From the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.-I.S., M.E.G., J.C., S.H.B., A.S., K.M., M.W., Y.S.)
| | - Ron T Gansevoort
- Department of Nephrology, University of Groningen, University Medical Center Groningen, the Netherlands (R.T.G.)
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8
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Qin Q, Chang K, Wu Q, Fan W, Gu Y, Niu J, Liu X. Undernutrition when young and the risk of poor renal function in adulthood in women with diabetes in Shanghai, China. J Int Med Res 2021; 49:3000605211016671. [PMID: 34057836 PMCID: PMC8170295 DOI: 10.1177/03000605211016671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Objective To evaluate the effect of undernutrition when young on the risk of poor renal
function in adulthood in women with diabetes mellitus. Methods We studied diabetic women born between 1921 and 1958 who were exposed to the
1959-to-1962 Chinese famine when they were 0 to 37 years old. Exposure age
was classified as young adulthood (18 to 37 years), adolescence (10 to 17
years), or childhood (0 to 9 years). The Adolescence group, which was
provided with the largest amount of food during the famine, was used as the
control group, and variance and binary logistic regression analyses were
performed. Results The prevalences of low estimated glomerular filtration rate (eGFR) in the
Childhood, Adolescence, and Young adulthood groups were 5.26%, 22.39%, and
79.24%, respectively. The risk of low eGFR for the Young adulthood group
(odds ratio [OR] 1.65, 95% confidence interval [CI] 1.10, 2.48), but not for
the Childhood group (OR 1.10, 95% CI 0.68, 1.78), was higher than that for
the Adolescence group after adjustment for potential confounders. Conclusions Undernutrition during young adulthood significantly increases the risk of
renal dysfunction in adult women with diabetes. Therefore, the nutrition of
less affluent young women should be improved.
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Affiliation(s)
- Qiaojing Qin
- Department of Nephrology, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Kaili Chang
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Qing Wu
- Department of Nephrology, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Weifeng Fan
- Department of Nephrology, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Yong Gu
- Department of Nephrology, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.,Department of Nephrology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianying Niu
- Department of Nephrology, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.,Center of Community-Based Health Research, Fudan University, Shanghai, China
| | - Xueguang Liu
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, China
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9
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Sadasivam R, Packirisamy G, Shakya S, Goswami M. Non-invasive multimodal imaging of Diabetic Retinopathy: A survey on treatment methods and Nanotheranostics. Nanotheranostics 2021; 5:166-181. [PMID: 33564616 PMCID: PMC7868006 DOI: 10.7150/ntno.56015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 12/22/2020] [Indexed: 12/12/2022] Open
Abstract
Diabetes Retinopathy (DR) is one of the most prominent microvascular complications of diabetes. It is one of the pre-eminent causes for vision impairment followed by blindness among the working-age population worldwide. The de facto cause for DR remains challenging, despite several efforts made to unveil the mechanism underlying the pathology of DR. There is quite less availability of the low cost pre-emptive theranostic imaging tools in terms of in-depth resolution, due to the multiple factors involved in the etiology of DR. This review work comprehensively explores the various reports and research works on all perspectives of diabetic retinopathy (DR), and its mechanism. It also discusses various advanced non-destructive imaging modalities, current, and future treatment approaches. Further, the application of various nanoparticle-based drug delivery strategies used for the treatment of DR are also discussed. In a nutshell, the present review work bolsters the pursuit of the development of an advanced non-invasive optical imaging modal with a nano-theranostic approach for the future diagnosis and treatment of DR and its associated ocular complications.
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Affiliation(s)
- Rajkumar Sadasivam
- Divyadrishti Imaging Laboratory, Department of Physics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand-247667, India
| | - Gopinath Packirisamy
- Nanobiotechnology Laboratory, Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand-247667, India
| | - Snehlata Shakya
- Department of clinical physiology, Lund University, Skåne University Hospital, Skåne, Sweden
| | - Mayank Goswami
- Divyadrishti Imaging Laboratory, Department of Physics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand-247667, India
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10
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Risk factors for subclinical renal damage and its progression: Hanzhong Adolescent Hypertension Study. Eur J Clin Nutr 2020; 75:531-538. [PMID: 32994554 DOI: 10.1038/s41430-020-00752-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 08/01/2020] [Accepted: 09/05/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND/OBJECTIVES Chronic kidney disease (CKD) is a global public health problem, including in China. The aim of this study was to identify the risk factors for the development and progression of subclinical renal disease (SRD) in a Chinese population. We also examined whether the impact of the risk factors on SRD changed over time. SUBJECTS/METHODS To identify the predictors of SRD, we performed a cross-sectional study of the 2432 subjects in our Hanzhong Adolescent Hypertension Cohort. A subgroup of 202 subjects was further analyzed over a 12-year period from 2005 to 2017 to determine the risk factors for the development and progression of SRD. RESULTS In cross-sectional analysis, elevated blood pressure, male gender, diabetes, body mass index, and triglyceride were independently associated with a higher risk of SRD. In longitudinal analysis, an increase in total cholesterol over a 4-year period and an increase in serum triglyceride over a 12-year period were independently associated with progression of albuminuria. Finally, increases in both total cholesterol and serum uric acid over a 4-year follow-up showed an independent association with a modest reduction in estimated glomerular filtration rate (eGFR). CONCLUSIONS In this study of a Chinese cohort, we show several metabolic abnormalities as independent risk factors for subclinical renal disease in a Chinese cohort. In addition, we demonstrate that the effects of total cholesterol, triglycerides and uric acid on the development and progression of albuminuria or the decline in eGFR vary at different points of follow-up. These findings highlight the importance of early detection of metabolic abnormalities to prevent SRD.
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11
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Comini LDO, de Oliveira LC, Borges LD, Dias HH, Batistelli CRS, Ferreira EDS, da Silva LS, Moreira TR, da Costa GD, da Silva RG, Cotta RMM. Prevalence of chronic kidney disease in Brazilians with arterial hypertension and/or diabetes mellitus. J Clin Hypertens (Greenwich) 2020; 22:1666-1673. [PMID: 33460313 PMCID: PMC8029734 DOI: 10.1111/jch.13980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 07/06/2020] [Accepted: 07/08/2020] [Indexed: 11/27/2022]
Abstract
The present study aimed to evaluate the prevalence of chronic kidney disease (CKD) in individuals with arterial hypertension (AH) and/or diabetes mellitus (DM) accompanied by Primary Health Care (PHC) in Brazil. The estimated glomerular filtration rate (eGFR) based on creatinine, and urinary albumin-to-creatinine ratio (ACR) were measured in 841 subjects with AH and/or DM, followed by PHC in the city of Viçosa. The CKD was diagnosed according to KDIGO criteria. Sociodemographic, clinical, and anthropometric factors related to the prevalence of CKD were investigated through multiple logistic regression. The prevalence of hidden CKD was 15.4%. Of these, 7.5% were identified by albuminuria (ACR ≥30 mg/g) with slightly decreased eGFR. Age, baseline disease, waist circumference (WC), and systolic blood pressure remained associated with CKD after multivariate analysis. The two major risk factors for hidden CKD were the presence of AH in association with DM and an increase in age. Hidden CKD was more common within people with AH and DM, and with high WC, glycosylated hemoglobin, and serum phosphorus as well as male gender and decreased serum albumin. This knowledge of risk associations can help avoid progression to CKD.
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Affiliation(s)
- Luma de Oliveira Comini
- Department of Nutrition and HealthFederal University of ViçosaGraduate Program in Nutrition and HealthViçosaMGBrazil
| | - Laura Camargo de Oliveira
- Department of Nutrition and HealthFederal University of ViçosaGraduate Program in Nutrition and HealthViçosaMGBrazil
| | - Luiza Delazari Borges
- Department of Nutrition and HealthFederal University of ViçosaGraduate Program in Nutrition and HealthViçosaMGBrazil
| | - Heloísa Helena Dias
- Department of Nutrition and HealthFederal University of ViçosaGraduate Program in Nutrition and HealthViçosaMGBrazil
| | | | - Emily de Souza Ferreira
- Department of Nutrition and HealthFederal University of ViçosaGraduate Program in Nutrition and HealthViçosaMGBrazil
| | | | | | - Glauce Dias da Costa
- Department of Nutrition and HealthFederal University of ViçosaGraduate Program in Nutrition and HealthViçosaMGBrazil
| | - Rodrigo Gomes da Silva
- Clinical Director of the Nephrology Service of Hospital São João BatistaSão João Batista HospitalViçosaMGBrazil
| | - Rosângela Minardi Mitre Cotta
- Department of Nutrition and HealthFederal University of ViçosaGraduate Program in Nutrition and HealthViçosaMGBrazil
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12
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Hanai K, Tauchi E, Nishiwaki Y, Mori T, Yokoyama Y, Uchigata Y, Babazono T. Effects of uric acid on kidney function decline differ depending on baseline kidney function in type 2 diabetic patients. Nephrol Dial Transplant 2020; 34:1328-1335. [PMID: 29860523 DOI: 10.1093/ndt/gfy138] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 04/19/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Most existing data regarding effects of uric acid (UA) on diabetic kidney disease have considered patients with preserved kidney function. We examined a hypothesis that there are differences in the effects of serum UA levels on the decline in kidney function depending on baseline kidney function in diabetic patients. METHODS In this historical cohort study, 7033 type 2 diabetic patients were analyzed and classified into two groups as follows: nonchronic kidney disease (non-CKD), with an estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 (n = 4994), and CKD, with an eGFR <60 mL/min/1.73 m2 (n = 2039). The composite endpoint was a ≥30% decrease in eGFR from baseline or the initiation of renal replacement therapy. The hazard ratio (HR) of serum UA levels at baseline was estimated using multivariate Cox proportional hazards models. RESULTS There was a significant interaction between UA levels and baseline eGFR with respect to the endpoint (P < 0.001). The HRs of 1 mg/dL increase in UA levels were 1.13 [95% confidence interval (CI) 1.05-1.22, P = 0.002] and 0.93 (95% CI 0.88-0.99, P = 0.02) in the non-CKD and CKD groups, respectively. When patients were classified by quintile of UA levels, the HRs of those in the 5th quintile (versus 1st quintile) were 1.64 (95% CI 1.23-2.18, P < 0.001) and 0.76 (95% CI 0.58-0.99, P = 0.05) in the non-CKD and CKD groups, respectively. CONCLUSIONS The effects of UA on kidney function decline might differ depending on baseline kidney function in type 2 diabetic patients. High UA levels are the prognostic factor only in patients with preserved kidney function.
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Affiliation(s)
- Ko Hanai
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Eriko Tauchi
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Yui Nishiwaki
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Tomomi Mori
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Yoichi Yokoyama
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Yasuko Uchigata
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.,Department of Medicine, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | - Tetsuya Babazono
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
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13
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Jiang W, Wang J, Shen X, Lu W, Wang Y, Li W, Gao Z, Xu J, Li X, Liu R, Zheng M, Chang B, Li J, Yang J, Chang B. Establishment and Validation of a Risk Prediction Model for Early Diabetic Kidney Disease Based on a Systematic Review and Meta-Analysis of 20 Cohorts. Diabetes Care 2020; 43:925-933. [PMID: 32198286 DOI: 10.2337/dc19-1897] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 12/27/2019] [Indexed: 02/03/2023]
Abstract
BACKGROUND Identifying patients at high risk of diabetic kidney disease (DKD) helps improve clinical outcome. PURPOSE To establish a model for predicting DKD. DATA SOURCES The derivation cohort was from a meta-analysis. The validation cohort was from a Chinese cohort. STUDY SELECTION Cohort studies that reported risk factors of DKD with their corresponding risk ratios (RRs) in patients with type 2 diabetes were selected. All patients had estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 and urinary albumin-to-creatinine ratio (UACR) <30 mg/g at baseline. DATA EXTRACTION Risk factors and their corresponding RRs were extracted. Only risk factors with statistical significance were included in our DKD risk prediction model. DATA SYNTHESIS Twenty cohorts including 41,271 patients with type 2 diabetes were included in our meta-analysis. Age, BMI, smoking, diabetic retinopathy, hemoglobin A1c, systolic blood pressure, HDL cholesterol, triglycerides, UACR, and eGFR were statistically significant. All these risk factors were included in the model except eGFR because of the significant heterogeneity among studies. All risk factors were scored according to their weightings, and the highest score was 37.0. The model was validated in an external cohort with a median follow-up of 2.9 years. A cutoff value of 16 was selected with a sensitivity of 0.847 and a specificity of 0.677. LIMITATIONS There was huge heterogeneity among studies involving eGFR. More evidence is needed to power it as a risk factor of DKD. CONCLUSIONS The DKD risk prediction model consisting of nine risk factors established in this study is a simple tool for detecting patients at high risk of DKD.
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Affiliation(s)
- Wenhui Jiang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Jingyu Wang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Xiaofang Shen
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Wenli Lu
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yuan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Wen Li
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhongai Gao
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Jie Xu
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Xiaochen Li
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Ran Liu
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Miaoyan Zheng
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Bai Chang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Jing Li
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Juhong Yang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
| | - Baocheng Chang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China
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14
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Wan H, Wang Y, Chen Y, Fang S, Zhang W, Xia F, Wang N, Lu Y. Different associations between serum urate and diabetic complications in men and postmenopausal women. Diabetes Res Clin Pract 2020; 160:108005. [PMID: 31911248 DOI: 10.1016/j.diabres.2020.108005] [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: 08/19/2019] [Revised: 12/15/2019] [Accepted: 01/02/2020] [Indexed: 12/19/2022]
Abstract
AIMS The objective of this study was to investigate the different associations of the serum urate (SUA) level with cardiovascular and cerebrovascular diseases (CVD), diabetic kidney disease (DKD) and diabetic retinopathy (DR) in Chinese adults. METHODS We analyzed 4767 participants out of 4813 adults with diabetes enrolled from seven communities in a cross-sectional survey. Participants underwent several medical examinations, including the measurement of anthropometric factors, blood pressure, SUA, glucose, lipid profiles, urine albumin/creatinine ratio (ACR) and fundus photographs. RESULTS Compared with the first SUA tertile, the third tertile increased the prevalence of CVD by 22% (OR 1.22; 95% CI 1.01, 1.46) (P for trend <0.05) and increased the prevalence of DKD by 59% (OR 1.59; 95% CI 1.28, 1.97) for KDOQI definition. Compared with the first tertile, the OR (95% CI) of the number of diabetic complications, ranging from 0 to 2, associated with SUA level in ordinal logistic regression was 1.75 (1.44, 2.12) for the third tertile (P for trend <0.01). These associations were all fully adjusted. No association was found between the prevalence of DR and the SUA level. CONCLUSIONS A higher SUA level was associated with an increased prevalence of CVD and DKD and a variety of diabetic complications, other than DR, in men and postmenopausal women with T2DM. However, the causation remains to be demonstrated.
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Affiliation(s)
- Heng Wan
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuying Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Chen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sijie Fang
- Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Zhang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fangzhen Xia
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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15
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Liu L, Gao B, Wang J, Yang C, Wu S, Wu Y, Chen S, Li Q, Zhang H, Wang G, Chen M, Zhao MH, Zhang L. Time-averaged serum uric acid and 10-year incident diabetic kidney disease: A prospective study from China. J Diabetes 2020; 12:169-178. [PMID: 31461212 DOI: 10.1111/1753-0407.12983] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 08/16/2019] [Accepted: 08/25/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The association between serum uric acid (SUA) and the risk of diabetic kidney diseases (DKD) remains controversial. We aim to investigate the association between time-averaged SUA and long-term incident DKD among general population-based patients with diabetes. METHODS Altogether 1327 patients with diabetes and without kidney disease (estimated glomerular filtration rate [eGFR] ≥ 60 mL/min/1.73m2 , and without proteinuria) were included. Incident DKD were defined by the occurrence of renal function decline (eGFR<60 mL/min/1.73m2 ) and/or macroalbuminuria (urinary albumin-creatinine-ratio ≥ 30 mg/mM creatinine). The associations between baseline and time-averaged SUA and DKD were analyzed. RESULTS The mean age was 53.7 ± 8.0. During 10.2 ± 0.4 years' follow-up, 85 (6.4%) patients developed renal function decline and 101 (7.6%) patients developed macroalbuminuria. Compared to those with time-averaged SUA in the second quartile (207-240 μM/L for women, 233-272 μM/L for men), odds ratio (OR) for renal function decline was 1.92 (95% confidence interval [CI], 1.02 to 3.62; P = .04) among those with SUA in the top quartile (women≥285 μM/L; men≥324 μM/L); and OR for macroalbuminuria was 1.86 (95% CI 1.01 to 3.43; P = .05) among those with SUA in the bottom quartile (women ≤207 μM/L; men ≤233 μM/L)). No significant associations were observed between baseline SUA with incident DKD. CONCLUSIONS Long-term exposure to both high and low SUA level are associated with increased risk of incident DKD among patients with diabetes.
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Affiliation(s)
- Lili Liu
- Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, National Health and Family Planning Commission of the People's Republic of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Beijing, China
| | - Bixia Gao
- Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, National Health and Family Planning Commission of the People's Republic of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Beijing, China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, National Health and Family Planning Commission of the People's Republic of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Beijing, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, National Health and Family Planning Commission of the People's Republic of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
| | - Yuntao Wu
- Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Health Care Center, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
| | - Qiuyun Li
- Department of Endocrinology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
| | - Huifen Zhang
- Department of Laboratory, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
| | - Guodong Wang
- Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
| | - Min Chen
- Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, National Health and Family Planning Commission of the People's Republic of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Beijing, China
| | - Ming-Hui Zhao
- Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, National Health and Family Planning Commission of the People's Republic of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Beijing, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital; Institute of Nephrology, Peking University; Key Laboratory of Renal Disease, National Health and Family Planning Commission of the People's Republic of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Beijing, China
- National Institute of Health Data Science at Peking University, Beijing, China
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16
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Korbut AI, Klimontov VV, Vinogradov IV, Romanov VV. Risk factors and urinary biomarkers of non-albuminuric and albuminuric chronic kidney disease in patients with type 2 diabetes. World J Diabetes 2019; 10:517-533. [PMID: 31798788 PMCID: PMC6885724 DOI: 10.4239/wjd.v10.i11.517] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 10/06/2019] [Accepted: 10/18/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND A number of recent studies indicate a transformation in the natural course of chronic kidney disease (CKD) in type 2 diabetes (T2D) patients: an increasing prevalence of declined renal function without proceeding to the accompanying elevation of albuminuria. It has been suggested that albuminuric and non-albuminuric CKD patterns could be different in their phenotypes and pathogenic mechanisms.
AIM To identify the risk factors and biomarkers of albuminuric and non-albuminuric patterns of CKD in patients with T2D.
METHODS Three hundred sixty patients with T2D duration ≥ 10 years were included in this observational cross-sectional study. The associations of a panel of demographic and clinical characteristics, complications, comorbidities, and metabolic and hematology parameters with albuminuric and non-albuminuric CKD patterns were analyzed. The urinary excretion of nephrin and podocin, two podocyte-specific markers, and WAP-four-disulfide core domain protein 2 (WFDC-2), a marker of tubulointerstitial fibrosis, was determined by ELISA in comparison with healthy controls.
RESULTS Non-albuminuric CKD was associated with age ≥ 65 years (P = 0.0001), female sex (P = 0.04), diabetes duration ≥ 15 years (P = 0.0009), and the use of diuretics (P = 0.0005). Male sex (P = 0.01), smoking (P = 0.01), waist-to-hip ratio >1.0 (P = 0.01) and hemoglobin A1c (HbA1c) > 8.0% (P = 0.005) were risk factors for elevated albuminuria not accompanied by a decrease in estimated glomerular filtration rate (eGFR). Duration of diabetes ≥ 15 years and the use of calcium channel blockers were risk factors for albuminuria with decreased eGFR (both P = 0.01). In multivariate logistic regression analysis, age, HbA1c, female sex and diuretics were significant predictors for reduced eGFR, while waist-to-hip ratio, HbA1c and male sex were associated with elevated urinary albumin-to-creatinine ratio (UACR). Excretion of nephrin and podocin was increased in patients with albuminuria, regardless of decline in renal function (P < 0.001), correlating positively with UACR. The urinary excretion of WFDC-2 was markedly higher in men than in women (P < 0.000001). Men with T2D demonstrated increased WFDC-2 levels independently of the CKD pattern (all P < 0.05). In T2D women, WFDC-2 excretion was increased in those with reduced renal function (P ≤ 0.01), correlating negatively with eGFR.
CONCLUSION The data provide further evidence that albuminuric and non-albuminuric CKD phenotypes correspond to different pathways of diabetic kidney disease progression.
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Affiliation(s)
- Anton I Korbut
- Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL – Branch of IC&G SB RAS), Novosibirsk 630060, Russia
| | - Vadim V Klimontov
- Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL – Branch of IC&G SB RAS), Novosibirsk 630060, Russia
| | - Ilya V Vinogradov
- Clinical Laboratory, “MBU-Technology” ltd., Novosibirsk 630090, Russia
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Minutolo R, Gabbai FB, Provenzano M, Chiodini P, Borrelli S, Garofalo C, Sasso FC, Santoro D, Bellizzi V, Conte G, De Nicola L. Cardiorenal prognosis by residual proteinuria level in diabetic chronic kidney disease: pooled analysis of four cohort studies. Nephrol Dial Transplant 2019; 33:1942-1949. [PMID: 29509925 DOI: 10.1093/ndt/gfy032] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 01/21/2018] [Indexed: 11/13/2022] Open
Abstract
Background No study has assessed whether the prognosis of coexisting diabetes mellitus and chronic kidney disease (DM-CKD) is dictated by DM per se or by the extent of proteinuria. Methods In this pooled analysis of four prospective studies in CKD patients treated with drugs inhibiting the renin-angiotensin system, we compared the risk of all-cause mortality, fatal and non-fatal cardiovascular (CV) events and end-stage renal disease (ESRD) between patients with (n = 693) and without diabetes (n = 1481) stratified by proteinuria level (<0.15, 0.15-0.49, 0.5-1 and >1 g/day). Results The group with DM-CKD was older (69 ± 11 versus 65 ± 15 years), had a higher body mass index (29.6 ± 5.4 versus 27.5 ± 4.8 kg/m2) and systolic blood pressure (143 ± 19 versus 136 ± 18 mmHg), prevalent CV disease (48% versus 29%) and lower estimated glomerular filtration rate (34.5 ± 17.9 versus 36.6 ± 19.0 mL/min/1.73 m2). During 4.07 years of follow-up, there were 466 patients with ESRD, 334 deaths and 401 CV events occurred. In the subgroup with urine protein <0.15 g/day (N = 662), the risks of ESRD, CV events and mortality were similar in diabetic and non-diabetic patients. Conversely, in DM-CKD patients, the mortality risk was higher in proteinuric patients {hazard ratio 1.92 [95% confidence interval (CI) 1.25-2.95); 1.99 (1.26-3.15) and 1.98 (1.28-3.06) for proteinuria 0.15-0.49, 0.5-1 and >1 g/day, respectively}, whereas in non-diabetics the mortality risk increased only for proteinuria 0.5-1 g/day [HR 1.60 (95% CI 1.07-2.40)] and >1 g/day [HR 1.69 (95% CI1.20-2.55)]. In both groups, CV risk had a trend similar to that of mortality. ESRD risk increased progressively across strata >0.5 g/day independent of diabetic status. Conclusions We provide evidence that patients with non-proteinuric DM-CKD are not exposed to higher cardiorenal risk. In contrast, in the presence of moderate proteinuria and diabetes per se is associated with a higher risk of mortality and CV events, whereas the entity of abnormal proteinuria modulates ESRD risk independent of diabetes.
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Affiliation(s)
- Roberto Minutolo
- Division of Nephrology, University of Campania, Luigi Vanvitelli, Italy
| | - Francis B Gabbai
- Department of Medicine, VA San Diego Healthcare System and University of California at San Diego Medical School, San Diego, CA, USA
| | | | - Paolo Chiodini
- Medical Statistics Unit, University of Campania, Luigi Vanvitelli, Italy
| | - Silvio Borrelli
- Division of Nephrology, University of Campania, Luigi Vanvitelli, Italy
| | - Carlo Garofalo
- Division of Nephrology, University of Campania, Luigi Vanvitelli, Italy
| | - Ferdinando C Sasso
- Department of Internal and Experimental Medicine "Magrassi - Lanzara", University of Campania, Luigi Vanvitelli, Italy
| | - Domenico Santoro
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Vincenzo Bellizzi
- Nephrology Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Giuseppe Conte
- Division of Nephrology, University of Campania, Luigi Vanvitelli, Italy
| | - Luca De Nicola
- Division of Nephrology, University of Campania, Luigi Vanvitelli, Italy
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18
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Tanaka N, Yamamoto Y, Yokoyama Y, Mori T, Hanai K, Babazono T. Temporal trends in the prevalence of albuminuria and reduced eGFR in Japanese patients with type 2 diabetes. Diabetol Int 2019; 10:279-287. [PMID: 31592404 DOI: 10.1007/s13340-019-00392-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 02/22/2019] [Indexed: 01/12/2023]
Abstract
Changes over time have been shown in renal manifestations in individuals with diabetes in the United States; however, whether the trends are shared across ethnicities is unknown. We conducted this single-center serial cross-sectional study to determine temporal changes in albuminuria and reduced kidney function in Japanese patients with type 2 diabetes. This study included adult Japanese patients with type 2 diabetes who first visited our institute between 2004 and 2013. Temporal changes during the 10 years in the frequency of albuminuria ( ≥ 30 mg/g creatinine) and reduced eGFR ( < 60 mL/min/1.73 m2) were analyzed using the univariate and multivariate logistic regression analyses and Granger causality test. 5331 Japanese patients with type 2 diabetes, 1892 women and 3439 men, with the mean age of 56 ± 13 years, were studied. There was no change in the prevalence of albuminuria in the univariate analysis; however, a significantly decreasing trend was observed after adjustment for several covariates. On the other hand, patients with reduced eGFR significantly increased over time, although the statistical significance disappeared after adjustment for the covariates, including levels of serum uric acid and hemoglobin and use of renin-angiotensin inhibitors. The Granger causality test showed that time series for use of RAS inhibitors and BMI had a causative role in time series for reduced eGFR. In conclusion, prevalence of albuminuria decreased and that of reduced eGFR remained stable after adjustment for clinical characteristics in Japanese patients with type 2 diabetes during the last decade.
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Affiliation(s)
- Nobue Tanaka
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Yui Yamamoto
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Yoichi Yokoyama
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Tomomi Mori
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Ko Hanai
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Tetsuya Babazono
- Department of Medicine, Diabetes Center, Tokyo Women's Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
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19
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Hayashi Y. Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction Approach. Diagnostics (Basel) 2019; 9:E133. [PMID: 31569548 PMCID: PMC6963949 DOI: 10.3390/diagnostics9040133] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 09/21/2019] [Accepted: 09/27/2019] [Indexed: 12/22/2022] Open
Abstract
The aim of the present study was to determine the lowest cut-off value for albuminuria levels, which can be used to detect diabetic kidney disease (DKD) using the urinary albumin-to-creatinine ratio (UACR). National Health and Nutrition Examination Survey (NHANES) data for US adults were used, and participants were classified as having diabetes or prediabetes based on a self-report and physiological measures. The study dataset comprised 942 diabetes and 524 prediabetes samples. This study clarified the significance of the lower albuminuria (UACR) levels, which can detect DKD, using an artificial intelligence-based rule extraction approach. The diagnostic rules (15 concrete rules) for both samples were extracted using a recursive-rule eXtraction (Re-RX) algorithm with continuous attributes (continuous Re-RX) to discriminate between prediabetes and diabetes datasets. Continuous Re-RX showed high test accuracy (77.56%) and a large area under the receiver operating characteristics curve (75%), which derived the two cut-off values (6.1 mg/g Cr and 71.00 mg/g Cr) for the lower albuminuria level in the UACR to detect early development of DKD. The early cut-off values for normoalbuminuria (NA) and microalbuminuria (MA) will be determined to help detect CKD and DKD, and to detect diabetes before MA develop and to prevent diabetic complications.
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Affiliation(s)
- Yoichi Hayashi
- Department of Computer Science, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki 214-8571, Japan.
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20
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Mehdiyev SK, Mustafaev II, Mamedov MN. Relationship of chronic kidney disease of the with glycemic status, cardiovascular diseases and laboratory indicators in patients with type 2 diabetes mellitus. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2019. [DOI: 10.15829/1728-8800-2019-3-48-56] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Aim. To study the relationship of chronic kidney disease parameters with glycemic control, subclinical and clinical signs of cardiovascular diseases and laboratory parameters.Material and methods. The study included 528 patients with type 2 diabetes mellitus (T2DM) aged 30-69 years. All respondents answered questions from the ARIC questionnaire about T2DM and cardiovascular diseases. We determined the ankle-brachial index, sonographic left ventricular hypertrophy, intima-media thickness and defined hypertensive, diabetic angiopathy and polyneuropathy. The levels of glycemia, lipid spectrum, creatinine, uric acid, glycohemoglobin were evaluted. Glomerular filtration rate (GFR) was calculated using the Cockroft-Gault method, and microalbuminuria (MAU) was determined using Micral tests.Results. Glycohemoglobin did not depend on MAU (p=0,564), a decrease in GFR was accompanied by an improvement in glycemic control (p=0,393). There was a direct association between MAU and the duration of diabetes (p=0,001), in patients with a longer course of the disease GFR was reduced (p=0,001). With increasing of systolic blood pressure, MAU progressed (p=0,016), while GFR decreased (p<0,01). In patients with hypertensive angiopathy, MAU of 100 mg/dl (p=0,001) and stage 2 of chronic kidney disease (p=0,048) occurred with the highest incidence (1/4) (p=0,048). According to the survey, angina was found in patients with MAU of 100 mg/dl (p=0,006). Chronic heart failure led to the progression of albuminuria (p=0,007), in patients with clinical signs of atherosclerosis of the lower extremities, the frequency of MAU was 72-87,5% (p=0,032). The highest intima-media thickness of the right carotid artery in patients with GFR 89-60 ml/min and MAU 100 mg/dL (respectively, 1,77±0,41, 1,33±0,49) were determined. Sonographic signs of left ventricular hypertrophy were observed in 84,6% of patients with an MAU of 300 mg/dL (p=0,022), as the severity of albuminuria increased, the ejection fraction of the left ventricle decreased (p=0,003). Albuminuria increased the level of myocardial remodeling (p<0,05) and this indicator showed a direct relationship with the severity of MAU. With an increase in albuminuria, the degree of triglyceridemia increased. An increase of MAU level and a decrease in GFR was accompanied by an increase in creatininemia (p<0,001). A direct relationship was found between lithemia and MAU. Conversely, a decrease in GFR contributed to the progression of MAU (p<0,001).Conclusion. Reduction of GFR and MAU are the major risk factors for cardiovascular diseases in the Azerbaijani population with T2DM. We suppose that periodic monitoring of these parameters for primary and secondary prevention of diabetic nephropathy plays an important role.
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Affiliation(s)
- S. Kh. Mehdiyev
- А. Aliyev Azerbaijan State Advanced Training Institute for Doctors
| | - I. I. Mustafaev
- А. Aliyev Azerbaijan State Advanced Training Institute for Doctors
| | - M. N. Mamedov
- National medical research center for preventive medicine
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21
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Kadowaki T, Nangaku M, Hantel S, Okamura T, von Eynatten M, Wanner C, Koitka‐Weber A. Empagliflozin and kidney outcomes in Asian patients with type 2 diabetes and established cardiovascular disease: Results from the EMPA-REG OUTCOME ® trial. J Diabetes Investig 2019; 10:760-770. [PMID: 30412655 PMCID: PMC6497612 DOI: 10.1111/jdi.12971] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 10/16/2018] [Accepted: 10/18/2018] [Indexed: 12/15/2022] Open
Abstract
AIMS/INTRODUCTION In the EMPA-REG OUTCOME® trial, empagliflozin added to standard of care improved clinically relevant kidney outcomes by 39%, slowed progression of chronic kidney disease, and reduced albuminuria in patients with type 2 diabetes and established cardiovascular disease. This exploratory analysis investigated the effects of empagliflozin on the kidneys in Asian patients. MATERIALS AND METHODS Participants in the EMPA-REG OUTCOME® trial were randomized (1:1:1) to empagliflozin 10 mg, 25 mg or a placebo. In patients of Asian race, we analyzed incident or worsening nephropathy (progression to macroalbuminuria, doubling of serum creatinine, initiation of renal-replacement therapy or renal death) and its components, estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio changes, and renal safety. RESULTS Of 7,020 treated patients, 1,517 (26.1%) were Asian. In this subgroup, consistent with the overall trial population, empagliflozin reduced the risk of incident or worsening nephropathy (hazard ratio 0.64, 95% confidence interval 0.49-0.83), progression to macroalbuminuria (hazard ratio 0.64, 95% confidence interval 0.49-0.85) and the composite of doubling of serum creatinine, initiation of renal-replacement therapy or renal death (hazard ratio 0.48, 95% confidence interval 0.25-0.92). Furthermore, empagliflozin-treated participants showed slower eGFR decline versus placebo, and showed rapid urine albumin-to-creatinine ratio reduction at week 12, maintained through week 164, with effects most pronounced in those with baseline microalbuminuria or macroalbuminuria. The kidney safety profile of empagliflozin in the Asian subgroup was similar to the overall trial population. CONCLUSIONS In Asian patients from the EMPA-REG OUTCOME® trial, empagliflozin improved kidney outcomes, slowed eGFR decline and lowered albuminuria versus placebo, consistent with the overall trial population findings.
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Affiliation(s)
| | - Masaomi Nangaku
- Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Stefan Hantel
- Boehringer Ingelheim International GmbHBiberachGermany
| | | | | | | | - Audrey Koitka‐Weber
- Boehringer Ingelheim International GmbHIngelheimGermany
- Department of MedicineWürzburg University ClinicWürzburgGermany
- Department of DiabetesCentral Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
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22
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Pearce I, Simó R, Lövestam‐Adrian M, Wong DT, Evans M. Association between diabetic eye disease and other complications of diabetes: Implications for care. A systematic review. Diabetes Obes Metab 2019; 21:467-478. [PMID: 30280465 PMCID: PMC6667892 DOI: 10.1111/dom.13550] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 09/12/2018] [Accepted: 09/25/2018] [Indexed: 02/06/2023]
Abstract
The aim of this systematic review was to examine the associations between diabetic retinopathy (DR) and the common micro- and macrovascular complications of diabetes mellitus, and how these could potentially affect clinical practice. A structured search of the PubMed database identified studies of patients with diabetes that assessed the presence or development of DR in conjunction with other vascular complications of diabetes. From 70 included studies, we found that DR is consistently associated with other complications of diabetes, with the severity of DR linked to a higher risk of the presence of, or of developing, other micro- and macrovascular complications. In particular, DR increases the likelihood of having or developing nephropathy and is also a strong predictor of stroke and cardiovascular disease, and progression of DR significantly increases this risk. Proliferative DR is a strong risk factor for peripheral arterial disease, which carries a risk of lower extremity ulceration and amputation. Additionally, our findings suggest that a patient with DR has an overall worse prognosis than a patient without DR. In conclusion, this analysis highlights the need for a coordinated and collaborative approach to patient management. Given the widespread use of DR screening programmes that can be performed outside of an ophthalmology office, and the overall cost-effectiveness of DR screening, the presence and severity of DR can be a means of identifying patients at increased risk for micro- and macrovascular complications, enabling earlier detection, referral and intervention with the aim of reducing morbidity and mortality among patients with diabetes. Healthcare professionals involved in the management of diabetes should encourage regular DR screening.
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Affiliation(s)
- Ian Pearce
- St Paul's Eye UnitRoyal Liverpool University HospitalLiverpoolUK
| | - Rafael Simó
- Vall d'Hebron Research Institute (VHIR) and Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)BarcelonaSpain
| | | | - David T. Wong
- St. Michael's Hospital, University of TorontoTorontoCanada
| | - Marc Evans
- University Hospital Llandough, LlandoughWalesUK
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23
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Kahkoska AR, Isom S, Divers J, Mayer-Davis EJ, Dolan L, Shah AS, Afkarian M, Pettitt DJ, Lawrence JM, Marcovina S, Saydah SH, Dabelea D, Maahs DM, Mottl AK. The early natural history of albuminuria in young adults with youth-onset type 1 and type 2 diabetes. J Diabetes Complications 2018; 32:1160-1168. [PMID: 30316542 PMCID: PMC6289668 DOI: 10.1016/j.jdiacomp.2018.09.018] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/27/2018] [Accepted: 09/29/2018] [Indexed: 12/14/2022]
Abstract
AIMS To determine among adolescents and young adults with youth-onset type 1 diabetes and type 2 diabetes the rates and risk factors for albuminuria regression and progression. METHODS Data from SEARCH, a longitudinal observational study of youth-onset type 1 diabetes (N = 1316) and type 2 diabetes (N = 143) were analyzed. Urine albumin:creatinine ratio (UACR) was measured from random urine specimens at baseline and follow-up visits (mean 7 years later). Albuminuria regression was defined as halving of baseline UACR when baseline UACR was ≥30 μg/mg; progression was defined as doubling of baseline UACR when follow-up UACR was ≥30 μg/mg, respectively. Multivariable regression assessed risk factors associated with low-risk albuminuria category (combined persistently-low albuminuria and regression) versus moderate-risk albuminuria category (combined persistently-high albuminuria and progression). RESULTS Albuminuria progression was more common in type 2 diabetes versus type 1 diabetes (15.4% versus 6.0%, p<0.001). Moderate-risk albuminuria was associated with increasing HbA1c (adjusted OR (aOR) = 1.3, 95% CI 1.1-1.6) and lack of private health insurance (aOR = 2.7, 95%CI 1.1-6.5) in type 1 diabetes; and African American race (OR = 4.6, 95% CI 1.2-14.2), lower estimated insulin sensitivity score (aOR = 2.1, 95% CI 1.4-3.3), baseline UACR (aOR = 3.2, 95% CI 1.7-5.8), and follow-up estimated glomerular filtration rate (eGFR) (10-unit increase aOR = 1.3, 95% CI 1.0, 1.5) in type 2 diabetes. CONCLUSIONS In the first decade of diabetes duration, kidney complications in type 2 diabetes are significantly more aggressive than in type 1 diabetes and may be associated with less modifiable risk factors including race, insulin sensitivity, and eGFR. Early interventions may help reduce long-term kidney complications.
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Affiliation(s)
- Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC 27599, USA.
| | - Scott Isom
- Dept. of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Jasmin Divers
- Dept. of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Elizabeth J Mayer-Davis
- Department of Medicine, University of North Carolina at Chapel Hill, 321 S. Columbia St, Chapel Hill, NC 27516, USA
| | - Lawrence Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, USA
| | - Amy S Shah
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, USA
| | - Maryam Afkarian
- Division of Nephrology, Department of Medicine, University of California, Davis, 4610 X St, Sacramento, CA 95817, USA
| | | | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, 100 S Los Robles Ave, Pasadena, CA 91101, USA
| | - Santica Marcovina
- Northwest Lipid Metabolism and Diabetes Research Laboratories, Dept. of Medicine, University of Washington, 401 Queen Anne Avenue North, UW Mailbox 359119, Seattle, WA 98109, USA
| | - Sharon H Saydah
- Division of Diabetes Translation, US Centers for Disease Control and Prevention, National Center for Health Statistics, 3311 Toledo Rd, Hyattsville, MD 20782, USA
| | - Dana Dabelea
- Department of Epidemiology, School of Public Health, University of Colorado Denver, 13001 E 17th Pl, Aurora, CO 80045, USA
| | - David M Maahs
- Division of Pediatric Endocrinology, Stanford University School of Medicine, 291 Campus Drive, Stanford, CA 94305, USA
| | - Amy K Mottl
- University of North Carolina Kidney Center, UNC School of Medicine, 101 Manning Dr, Chapel Hill, NC 27514, USA
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24
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Liu C, Li Q, Feng X, Li Q. Elevated levels of netrin-1 in the serum of patients with diabetic nephropathy: Relationship with renal function and inflammation. EUR J INFLAMM 2018. [DOI: 10.1177/2058739218809288] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Netrin-1, a survival factor, is highly induced and excreted after renal injury in animal experiments. We aimed to research the relationship between serum netrin-1 and parameters of renal tubule function as well as circulating inflammatory cytokines and to evaluate effect factors for netrin-1 in humans with type 2 diabetes mellitus (T2DM) undergoing different levels of albuminuria. In total, 81 T2DM patients were included and divided into three groups according to their amount of 24-h urine albumin excretion (UAE) after receiving consent. Plasma netrin-1, interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) were quantified by commercially available enzyme-linked immunosorbent assay kits and the data were analyzed to assess whether serum netrin-1 correlates significantly with disease progression. The results showed that plasma netrin-1 level in patients with macroalbuminuria was significantly higher than that in those with microalbuminuria and normoalbuminuria. Plasma netrin-1 level was significantly associated with UAE, estimated glomerular filtration rate (eGFR), IL-6, and TNF-α independently of age, sex, diabetes duration, and glycosylated hemoglobin (HbA1c). However, no correlation was found between netrin-1 and β2-microglobulin (β2-MG). Our studies may suggest that serum netrin-1 concentrations are increased with diabetic nephropathy progression, particularly in patients with macroalbuminuria, which are associated with renal insufficiency and compensatory responses after inflammation.
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Affiliation(s)
- Chenxiao Liu
- Department of Endocrinology, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, China
| | - Qi Li
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiu Feng
- Department of Endocrinology, The First People’s Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Qian Li
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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25
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Wang J, Yu Y, Li X, Li D, Xu C, Yuan J, Wei S, Li X, Yang K, Zheng D, Tang Y, Yang H, Wu T, He M. Serum uric acid levels and decreased estimated glomerular filtration rate in patients with type 2 diabetes: A cohort study and meta-analysis. Diabetes Metab Res Rev 2018; 34:e3046. [PMID: 30003679 DOI: 10.1002/dmrr.3046] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 06/27/2018] [Accepted: 07/07/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND Epidemiological studies suggest that elevated serum uric acid (SUA) is associated with heightened incident kidney disease in both the general population and the type 2 diabetes (T2D) cases, although the results were not entirely consistent. METHODS We investigated prospective association between SUA levels and estimated glomerular filtration (eGFR) decline risk (eGFR <60 mL min-1 1.73 m-2 ) among 3123 T2D in the Dongfeng-Tongji cohort and further examined this association with a meta-analysis. Generalize linear model was used to assess the associations of SUA with eGFR decline in the cohort. In the meta-analysis, we used both fix-effects and random-effects models to calculate the overall effect estimate. RESULTS During 5-year follow-up, 303 (9.7%) patients developed eGFR decline. After multiple adjustments, the relative risk (RR) (95% CI) of eGFR decline was 1.55 (1.07, 2.26) when comparing the highest with the lowest sex-specific uric acid quartile. A 100 μmol/L increment of SUA level was significantly associated with 21% increased risk of eGFR decline. The SUA-eGFR decline association was more evident in men, but not in women. In meta-analysis, the pooled RR (95% CI) was 2.33 (1.66, 3.25) for developing eGFR decline when comparing the highest with the lowest levels of uric acid. A 100 μmol/L increment of SUA level was significantly associated with a 33% increased risk of eGFR decline. CONCLUSIONS Our results indicate an independent and significant positive association between higher SUA and increased risk of developing eGFR decline among T2D cases.
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Affiliation(s)
- Jing Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Preventive Medicine in School of Public Health and Management and Center for Environment and Health in Water Source Area of South-to-North Water Diversion, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yongkai Yu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaowen Li
- Department of Endocrinology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Dong Li
- Department of Preventive Medicine in School of Public Health and Management and Center for Environment and Health in Water Source Area of South-to-North Water Diversion, Hubei University of Medicine, Shiyan, Hubei, China
| | - Chengwei Xu
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei, China
| | - Jing Yuan
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Wei
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiulou Li
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei, China
| | - Kun Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei, China
| | - Dan Zheng
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhan Tang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Simó R, Stitt AW, Gardner TW. Neurodegeneration in diabetic retinopathy: does it really matter? Diabetologia 2018; 61:1902-1912. [PMID: 30030554 PMCID: PMC6096638 DOI: 10.1007/s00125-018-4692-1] [Citation(s) in RCA: 328] [Impact Index Per Article: 54.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 06/19/2018] [Indexed: 02/07/2023]
Abstract
The concept of diabetic retinopathy as a microvascular disease has evolved, in that it is now considered a more complex diabetic complication in which neurodegeneration plays a significant role. In this article we provide a critical overview of the role of microvascular abnormalities and neurodegeneration in the pathogenesis of diabetic retinopathy. A special emphasis is placed on the pathophysiology of the neurovascular unit (NVU), including the contributions of microvascular and neural elements. The potential mechanisms linking retinal neurodegeneration and early microvascular impairment, and the effects of neuroprotective drugs are summarised. Additionally, we discuss how the assessment of retinal neurodegeneration could be an important index of cognitive status, thus helping to identify individuals at risk of dementia, which will impact on current procedures for diabetes management. We conclude that glial, neural and microvascular dysfunction are interdependent and essential for the development of diabetic retinopathy. Despite this intricate relationship, retinal neurodegeneration is a critical endpoint and neuroprotection, itself, can be considered a therapeutic target, independently of its potential impact on microvascular disease. In addition, interventional studies targeting pathogenic pathways that impact the NVU are needed. Findings from these studies will be crucial, not only for increasing our understanding of diabetic retinopathy, but also to help to implement a timely and efficient personalised medicine approach for treating this diabetic complication.
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Affiliation(s)
- Rafael Simó
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute, Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Universitat Autònoma de Barcelona, Pg. Vall d'Hebron 119-129, 08035, Barcelona, Spain.
| | - Alan W Stitt
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - Thomas W Gardner
- Department of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan Medical School, Ann Arbor, MI, USA
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Geletu AH, Teferra AS, Sisay MM, Teshome DF. Incidence and predictors of chronic kidney diseases among type 2 diabetes mellitus patients at St. Paul's Hospital, Addis Ababa, Ethiopia. BMC Res Notes 2018; 11:532. [PMID: 30064516 PMCID: PMC6069572 DOI: 10.1186/s13104-018-3618-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 07/19/2018] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE This study aimed to estimate the incidence of chronic kidney disease and its predictors among newly diagnosed type 2 diabetes patients attending St. Paul's Hospital, Addis Ababa, Ethiopia. RESULTS The overall incidence of chronic kidney disease was a major public health issue among type 2 diabetes mellitus patients with 2178 (95% CI 12,801, 21,286) cases per 10,000 patient-months. Moreover, 62(14.25%) patients in the sample experienced chronic kidney disease. Old age [adjusted hazard ratio (AHR) = 1.06, 95%CI 1.03, 1.09], no diabetic retinopathy [AHR = 0.13, 95%CI 0.07-0.24], high density lipoprotein cholesterol ≥ 40 mg/dl [AHR = 0.55, 95%CI 0.31, 0.97] and high body mass index [AHR = 1.17, 95%CI 1.1, 1.25] were common factors for chronic kidney diseases.
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Affiliation(s)
- Alemayehu Hussen Geletu
- Department of Reproductive Health, School of Public Health, College of Medicine and Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Alemayehu Shimeka Teferra
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, 196, Gondar, Ethiopia
| | - Malede Mequanent Sisay
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, 196, Gondar, Ethiopia
| | - Destaw Fetene Teshome
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, 196, Gondar, Ethiopia
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Simó-Servat O, Hernández C, Simó R. Somatostatin and diabetic retinopathy: an evolving story. Endocrine 2018; 60:1-3. [PMID: 29464407 DOI: 10.1007/s12020-018-1561-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 02/04/2018] [Indexed: 01/16/2023]
Affiliation(s)
- Olga Simó-Servat
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Cristina Hernández
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Rafael Simó
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.
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Abstract
PURPOSE OF REVIEW Multiple experimental and clinical studies have identified pathways by which uric acid may facilitate the development and progression of chronic kidney disease (CKD) in people with diabetes. However, it remains uncertain if the association of uric acid with CKD represents a pathogenic effect or merely reflects renal impairment. RECENT FINDINGS In contrast to many published reports, a recent Mendelian randomization study did not identify a causal link between uric acid and CKD in people with type 1 diabetes. Two recent multicenter randomized control trials, Preventing Early Renal Function Loss in Diabetes (PERL) and FEbuxostat versus placebo rAndomized controlled Trial regarding reduced renal function in patients with Hyperuricemia complicated by chRonic kidney disease stage 3 (FEATHER), were recently designed to assess if uric acid lowering slows progression of CKD. We review the evidence supporting a role for uric acid in the pathogenesis of CKD in people with diabetes and the putative benefits of uric acid lowering.
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Affiliation(s)
- Ambreen Gul
- Dialysis Clinic, Inc., Quality Management, 1500 Indian School Rd. NE, Albuquerque, NM, 87102, USA
| | - Philip Zager
- Dialysis Clinic, Inc., Quality Management, 1500 Indian School Rd. NE, Albuquerque, NM, 87102, USA.
- University of New Mexico, Albuquerque, NM, USA.
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Norris KC, Smoyer KE, Rolland C, Van der Vaart J, Grubb EB. Albuminuria, serum creatinine, and estimated glomerular filtration rate as predictors of cardio-renal outcomes in patients with type 2 diabetes mellitus and kidney disease: a systematic literature review. BMC Nephrol 2018; 19:36. [PMID: 29426298 PMCID: PMC5807748 DOI: 10.1186/s12882-018-0821-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Accepted: 01/21/2018] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Albuminuria, elevated serum creatinine and low estimated glomerular filtration rate (eGFR) are pivotal indicators of kidney decline. Yet, it is uncertain if these and emerging biomarkers such as uric acid represent independent predictors of kidney disease progression or subsequent outcomes among individuals with type 2 diabetes mellitus (T2DM). This study systematically examined the available literature documenting the role of albuminuria, serum creatinine, eGFR, and uric acid in predicting kidney disease progression and cardio-renal outcomes in persons with T2DM. METHODS Embase, MEDLINE, and Cochrane Central Trials Register and Database of Systematic Reviews were searched for relevant studies from January 2000 through May 2016. PubMed was searched from 2013 until May 2016 to retrieve studies not yet indexed in the other databases. Observational cohort or non-randomized longitudinal studies relevant to albuminuria, serum creatinine, eGFR, uric acid and their association with kidney disease progression, non-fatal cardiovascular events, and all-cause mortality as outcomes in persons with T2DM, were eligible for inclusion. Two reviewers screened citations to ensure studies met inclusion criteria. RESULTS From 2249 citations screened, 81 studies were retained, of which 39 were omitted during the extraction phase (cross-sectional [n = 16]; no outcome/measure of interest [n = 13]; not T2DM specific [n = 7]; review article [n = 1]; editorial [n = 1]; not in English language [n = 1]). Of the remaining 42 longitudinal study publications, biomarker measurements were diverse, with seven different measures for eGFR and five different measures for albuminuria documented. Kidney disease progression differed substantially across 31 publications, with GFR loss (n = 9 [29.0%]) and doubling of serum creatinine (n = 5 [16.1%]) the most frequently reported outcome measures. Numerous publications presented risk estimates for albuminuria (n = 18), serum creatinine/eGFR (n = 13), or both combined (n = 6), with only one study reporting for uric acid. Most often, these biomarkers were associated with a greater risk of experiencing clinical outcomes. CONCLUSIONS Despite the utility of albuminuria, serum creatinine, and eGFR as predictors of kidney disease progression, further efforts to harmonize biomarker measurements are needed given the disparate methodologies observed in this review. Such efforts would help better establish the clinical significance of these and other biomarkers of renal function and cardio-renal outcomes in persons with T2DM.
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Affiliation(s)
- Keith C. Norris
- David Geffen School of Medicine at UCLA, Division of General Internal Medicine and Health Services Research, 911 Broxton Avenue, Room 103, Los Angeles, CA 90024 USA
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Kimando MW, Otieno FCF, Ogola EN, Mutai K. Adequacy of control of cardiovascular risk factors in ambulatory patients with type 2 diabetes attending diabetes out-patients clinic at a county hospital, Kenya. BMC Endocr Disord 2017; 17:73. [PMID: 29191193 PMCID: PMC5709860 DOI: 10.1186/s12902-017-0223-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 11/20/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Type 2 diabetes is associated with substantial cardiovascular morbidity and mortality arising from the high prevalence of cardiovascular risk factors such as hypertension, dyslipidaemia, obesity, poor glycaemic control and albuminuria. Adequacy of control of these risk factors determines the frequency and outcome of cardiovascular events in the patients. Current clinical practice guidelines emphasize primary prevention of cardiovascular disease in type 2 diabetes. There is scarce data from the developing countries, Kenya included, on clinical care of patients with type 2 diabetes in the regions that are far away from tertiary health facilities. So we determined the adequacy of control of the modifiable risk factors: glycaemic control, hypertension, dyslipidemia, obesity and albuminuria in the study patients from rural and peri-urban dwelling. METHODS This was a cross-sectional study on 385 randomly selected ambulatory patients with type 2 diabetes without overt complications. They were on follow up for at least 6 months at the Out-patient diabetes clinic of Nyeri County Hospital, a public health facility located in the central region of Kenya. RESULTS Females were 65.5%. The study subjects had a mean duration of diabetes of 9.4 years, IQR of 3.0-14 years. Their mean age was 63.3 years, IQR of 56-71 years. Only 20.3% of our subjects had simultaneous optimal control of the three (3) main cardiovascular risk factors of hypertension, high LDL-C and hyperglycaemia at the time of the study. The prevalence of cardiovascular risk factors were as follows: HbA1c above 7% was 60.5% (95% CI, 55.6-65.5), hypertension, 49.6% of whom 76.6% (95% CI, 72.5-80.8) were poorly controlled. High LDL-Cholesterol above 2.0 mmol/L was found in 77.1% (95% CI 73.0-81.3) and Albuminuria occurred in 32.7% (95% CI 27.8-37.4). The prevalence of the other habits with cardiovascular disease risk were: excess alcohol intake at 26.5% (95% CI 27.8-37.4) and cigarette-smoking at 23.6%. A modest 23.4% of the treated patients with hypertension attained target blood pressure of <140/90 mmHg. Out of a paltry 12.5% of the statin-treated patients and others not actively treated, only 22.9% had LDL-Cholesterol of target <2.0 mmol/L. There were no obvious socio-demographic and clinical determinants of poor glycaemic control. However, old age above 50 yrs., longer duration with diabetes above 5 yrs. and advanced stages of CKD were significantly associated with hypertension. Female gender and age, statin non-use and socio-economic factor of employment were the significant determinants of high levels of serum LDL-cholesterol. CONCLUSION The majority of the study patients attending this government-funded health facility had high prevalence of cardiovascular risk factors that were inadequately controlled. Therefore patients with type 2 diabetes should be risk-stratified by their age, duration of diabetes and cardiovascular risk factor loading. Consequently, composite risk factor reduction strategies are needed in management of these patients to achieve the desired targets safely. This would be achieved through innovative care systems and modes of delivery which would translate into maximum benefit of primary cardiovascular disease prevention in those at high risk. It is a desirable quality objective to have a higher proportion of the patients who access care benefiting maximally more than the numbers we are achieving now.
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Affiliation(s)
- Mercy W. Kimando
- Department of Clinical Medicine and Therapeutics, College of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - Frederick C. F. Otieno
- Department of Clinical Medicine and Therapeutics, College of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - Elijah N. Ogola
- Department of Clinical Medicine and Therapeutics, College of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - Kenn Mutai
- Kenyatta National Hospital, Nairobi, Kenya
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Russo GT, Giandalia A, Romeo EL, Muscianisi M, Ruffo MC, Alibrandi A, Bitto A, Forte F, Grillone A, Asztalos B, Cucinotta D. HDL subclasses and the common CETP TaqIB variant predict the incidence of microangiopatic complications in type 2 diabetic women: A 9years follow-up study. Diabetes Res Clin Pract 2017; 132:108-117. [PMID: 28829977 DOI: 10.1016/j.diabres.2017.07.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 05/04/2017] [Accepted: 07/19/2017] [Indexed: 10/19/2022]
Abstract
AIMS Diabetic kidney disease (DKD) and retinopathy (DR) develop in a considerable number of subjects with Type 2 Diabetes (T2D) despite the achievement of the recommended targets for glycaemia and blood pressure. Atherogenic dyslipidemia may play a relevant role, especially in T2DM women. METHODS We report our findings on the effect of diabetic dyslipidaemia, the HDL subclasses distribution and the common cholesteryl ester transfer protein (CETP)TaqIB variant on the incidence or the progression of DKD and DR in 97 T2D women, after a ∼9years of follow-up. RESULTS At baseline, T2D women presented with low HDL-C levels and higher levels of large lipid rich α-1 (16.34mg/dl), α-2 (33.39mg/dl) and pre- α1 (4.81mg/dl) HDL subparticles. The CETP TaqIB polymorphism and baseline HbA1c, triglycerides, and HDL-C levels as well as specific HDL subpopulations were associated to the occurrence of RD after ∼9years of follow-up. At stepwise regression analysis, HbA1c, triglycerides and the less atheroprotective α-3 HDL particles were the only factors independently associated to the incidence of RD. These same variables were also associated with the progression from background to proliferative RD. BMI, LDL/HDL ratio and low levels of α-1 HDL particles were associated to the occurrence of DKD at univariate analysis, although BMI was the only significant predictor at stepwise multivariate regression analysis. CONCLUSIONS In T2D women, atherogenic dyslipidemia as well as subtle modifications in lipoprotein particles profile are associated with incidence and progression of microvascular disease.
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Affiliation(s)
- Giuseppina T Russo
- Department of Clinical and Experimental Medicine, University of Messina, Italy.
| | - Annalisa Giandalia
- Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Elisabetta L Romeo
- Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Marco Muscianisi
- Department of Clinical and Experimental Medicine, University of Messina, Italy
| | | | - Angela Alibrandi
- Department of Economical, Business and Environmental Sciences and Quantitative Methods, University of Messina,PiazzaPugliatti 1, 98122 Messina, Italy
| | - Alessandra Bitto
- Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Fiorella Forte
- Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Andrea Grillone
- Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Bela Asztalos
- Lipid Metabolism Laboratory, JM-USDA-Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Domenico Cucinotta
- Department of Clinical and Experimental Medicine, University of Messina, Italy
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Blood pressure status and the incidence of diabetic kidney disease in patients with hypertension and type 2 diabetes. J Hypertens 2017; 34:2090-8. [PMID: 27457667 DOI: 10.1097/hjh.0000000000001045] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Antihypertensive treatment and blood pressure (BP) reduction are known to retard the progression of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) but long-term real-life clinical data on the incidence of DKD are lacking. In this observational, prospective cohort study, we investigated the association between achievement and maintenance of recommended BP values and the incidence of DKD and its components over a 4-year follow-up in patients with T2DM and hypertension from the Italian Medical Diabetologists registry. METHODS Clinical records from a total of 12 995 patients with normal renal function and urine albumin excretion at baseline and regular visits during a 4-year follow-up were retrieved and analyzed. The association between recommended, time-updated BP control (BPC) (i.e. ≥75% of visits with SBP and DBP <140/85 mmHg) and the occurrence of renal outcomes was evaluated. RESULTS At baseline, 28% of patients (n = 3612) had recommended BP values. Over the 4-year follow-up, 37% (n = 4845) developed DKD, 16% (n = 2061) low glomerular filtration rate and 27% (n = 3487) albuminuria. Patients who failed to achieve and maintain BPC over the study period showed an increased risk of developing DKD [odds ratio (OR) 1.38, P < 0.001], low glomerular filtration rate (OR 1.18, P = 0.03) and albuminuria (OR 1.47, P < 0.001) as compared with those with persistent BPC. These results were consistent after adjustment for covariates and in different subgroups. CONCLUSION Long-term BPC is associated with a reduction in the incidence of DKD and its components in patients with hypertension and T2DM.
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Polonia J, Azevedo A, Monte M, Silva JA, Bertoquini S. Annual deterioration of renal function in hypertensive patients with and without diabetes. Vasc Health Risk Manag 2017; 13:231-237. [PMID: 28721063 PMCID: PMC5498504 DOI: 10.2147/vhrm.s135253] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Background Chronic kidney disease (CKD) complicates hypertension and diabetes. Knowledge of the deterioration rate of CKD may anticipate adjustment of therapies with renal elimination. This study evaluates the rate of annual deterioration of renal function in hypertensive patients either with type 2 diabetes (DM2) or without it (non-DM) followed for 5 years and relates it with blood pressure (BP) and glycemic control. Materials and methods Out of a total of 1924 patients, 1023 patients (594 non-DM and 429 DM2, 53% female, aged 62.1±10.2 years) were evaluated over 5 years for the annual evolution of renal function (estimated glomerular filtration rate [eGFR], Modification of Diet in Renal Disease) ambulatory 24-hour blood pressure and metabolic parameters, corresponding to the analysis of 2378 patient-years. Results DM2 and non-DM did not differ for age, mean 24-hour BP levels, nighttime BP, albuminuria, and body mass index. DM2 versus non-DM showed a higher (p<0.02) prevalence of stage 3 CKD (24.0% vs 18.0%, eGFR 30–59), stage 4 (5.4% vs 2.7%, eGFR 15–29), and stage 5 (0.8% vs 0.5%, eGFR <15). Average annual decline of eGFR was 3.3±8.2 in DM2 versus 2.4±7.7 in non-DM (p=0.12, nonsignificant). Annual changes of eGFR and of albuminuria correlated (r=0.578, p<0.001). In multivariate analysis, age, nighttime BP, double inhibition of renin angiotensin system, albuminuria, and HbA1c >8.0% in DM2 predicted the decline in eGFR. On average, 16.2% of DM2 and 13.1% of non-DM moved each year toward a more severe stage of CKD. For initial eGFR <90 mL/min/1.73 m2, 26.4% of DM2 and 18.1% of non-DM patients showed a reduction per year >10% from the previous eGFR value (p=0.042). Conclusion Progressive deterioration of renal function each year is frequent in hypertensive diabetic and non-diabetic patients. Beyond aging, this is particularly dependent on BP control particularly at nighttime, on drug therapy, and on highly abnormal glucose control.
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Affiliation(s)
- Jorge Polonia
- Department of Medicine, CINTESIS, Faculty of Medicine of Porto, University of Porto, Porto, Portugal.,Blood Pressure Unit, Hospital Pedro Hispano, Matosinhos, Portugal
| | - André Azevedo
- Department of Medicine, CINTESIS, Faculty of Medicine of Porto, University of Porto, Porto, Portugal
| | - Miguel Monte
- Department of Medicine, CINTESIS, Faculty of Medicine of Porto, University of Porto, Porto, Portugal
| | - José A Silva
- Blood Pressure Unit, Hospital Pedro Hispano, Matosinhos, Portugal
| | - Susana Bertoquini
- Department of Medicine, CINTESIS, Faculty of Medicine of Porto, University of Porto, Porto, Portugal.,Blood Pressure Unit, Hospital Pedro Hispano, Matosinhos, Portugal
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Wang Z, Ding L, Huang X, Chen Y, Sun W, Lin L, Huang Y, Wang P, Peng K, Lu J, Chen Y, Xu M, Wang W, Bi Y, Xu Y, Ning G. Abdominal adiposity contributes to adverse glycemic control and albuminuria in Chinese type 2 diabetic patients: A cross-sectional study. J Diabetes 2017; 9:285-295. [PMID: 27100567 DOI: 10.1111/1753-0407.12414] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 04/15/2016] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Abdominal adipose tissue plays an important role in the development of type 2 diabetes. However, few data have suggested its role in the prognosis of diabetes. This study aimed to investigate the association between waist-hip ratio (WHR), glycemic control, and early nephropathy in Chinese type 2 diabetic patients. METHODS A cross-sectional study was conducted in 1709 previously- and newly-diagnosed diabetic patients nested in a cohort study consisting of 10 375 participants aged ≥40 years in Shanghai, China. General characteristics through questionnaire, anthropometric measures, and biochemical results were recorded. Statistical analysis was performed by SPSS v20.0. RESULTS Each quartile increase in WHR was significantly associated with a fasting plasma glucose (FPG) ≥ 126 mg/dl [OR (95% CI):1.18 (1.06-1.30)], an HbA1c ≥ 7.0% [1.21 (1.08-1.35)], and a HOMA-IR ≥ 2.5 [1.30 (1.16-1.46)] after multivariable adjustments. WHR was not associated with a 2h PG ≥ 200mg/dl [1.13 (0.97-1.31)]. The risk for increased albuminuria (UACR ≥10.18mg/g) was also significantly associated with higher WHR after adjustment for HbA1c [1.14 (1.02-1.27)]. However, no significant relationship was seen between WHR and an estimated glomerular filtration rate < 90 ml/min per 1.73 m2 . Interactions of sex, or physical activity with WHR in association with glycemic control and increased albuminuria were found (P values for interaction <0.05). CONCLUSIONS These data demonstrated an independent role of abdominal adipose tissue in glycemic control and renal complications of type 2 diabetes. Interventions aiming to reduce abdominal adipose tissue may have additional benefits.
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Affiliation(s)
- Zhengyi Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Lin Ding
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Xiaolin Huang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Ying Chen
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Wanwan Sun
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Lin Lin
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Ya Huang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Po Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Kui Peng
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Min Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
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Fliser D, Dellanna F, Koch M, Wiggenhauser A. Early low-dose erythropoiesis-stimulating agent therapy and progression of moderate chronic kidney disease: a randomized, placebo-controlled trial. Nephrol Dial Transplant 2017; 32:279-287. [PMID: 28186540 DOI: 10.1093/ndt/gfw418] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 10/25/2016] [Indexed: 01/13/2023] Open
Abstract
Background It is unknown whether early intervention with low-dose erythropoiesis-stimulating agents (ESAs) in non-anaemic patients delays progression of chronic kidney disease (CKD). Methods In a single-blind, 24-month trial, adults with estimated glomerular filtration rate (eGFR) 30–59 mL/min/1.73 m2 and either Type 2 diabetes mellitus or previous kidney transplantation were randomized to low-dose continuous erythropoiesis receptor activator (CERA; monthly dose 30–75 µg; n = 115) or placebo (n = 120). The primary endpoint was the annual change in eGFR (abbreviated Modification of Diet in Renal Disease formula). Results Mean (standard deviation) eGFR was 40.7 (9.8) mL/min/1.73 m2 versus 39.8 (9.2) mL/min/1.73 m2 at baseline for CERA and placebo, respectively, and 39.0 (11.6) g/dL versus 39.7 (10.6) g/dL at the final visit. The median (interquartile range) annual reduction in eGFR was 0.5 (−2.2, 3.8) mL/min/1.73 m2 with CERA versus 0.4 (−2.0, 3.2) mL/min/1.73 m2 with placebo (P = 0.657). No significant difference in the annual change in eGFR was observed between treatment groups in the subpopulations with Type 2 diabetes or kidney transplant. Adverse events with a suspected relation to study drug occurred in 22.0% and 16.2% of patients randomized to CERA or placebo, respectively, and adverse events led to study drug discontinuation in 11.0% and 8.5% of patients. Conclusions Patients with moderate CKD and Type 2 diabetes or previous kidney transplantation showed stable renal function that was unaffected by administration of low-dose ESA. In addition, there was no clinically meaningful effect of 2-year low-dose ESA treatment on albuminuria, an important surrogate marker of kidney injury.
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Affiliation(s)
- Danilo Fliser
- Department of Internal Medicine IV, Saarland University Medical Centre, Kirrbergerstrasse, Homburg/Saar, Germany
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Hu P, Zhou XH, Wen X, Ji L. Predictors of Renal Function Decline in Chinese Patients with Type 2 Diabetes Mellitus and in a Subgroup of Normoalbuminuria: A Retrospective Cohort Study. Diabetes Technol Ther 2016; 18:635-643. [PMID: 27583456 DOI: 10.1089/dia.2016.0115] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Risk factors related to renal function decline in type 2 diabetes mellitus (T2DM) remain uncertain. This study aimed to investigate risk factors in relation to renal function decline in patients with T2DM and in a subgroup of patients with normoalbuminuria. METHODS This study was a retrospective cohort study, which included 451 patients with T2DM aged 63 ± 14 years admitted to a tertiary hospital in Beijing, China, between April and December 2010 and followed up for 6-60 months. Endpoint was renal function decline, defined as estimated glomerular filtration rate less than 60 mL/min 1.73 m2 or at least twofold increase of serum creatinine. Cox proportional hazards analysis was used to estimate hazard ratios (HRs) for candidate risk factors of renal function decline. RESULTS After a median follow-up of 3.3 years, 94 (20.8%) patients developed renal function decline. Increased age (HR, 1.045; 95% CI, 1.020-1.070), albuminuria (HR, 1.956; 95%CI, 1.271-3.011), mild renal dysfunction (HR, 4.521; 95%CI, 2.734-7.476), hyperfiltration (HR, 3.897; 95%CI, 1.572-9.663), and increased hemoglobin A1c (HR, 1.128; 95%CI, 1.020-1.249) were identified as major risk factors. Among a subgroup of 344 patients with normoalbuminuria at baseline, 53 (15.4%) patients developed renal function decline. Increased age (HR, 1.089; 95%CI, 1.050-1.129), mild renal dysfunction (HR, 4.667; 95%CI, 2.391-9.107), hyperfiltration (HR, 5.677; 95%CI, 1.544-20.872), smoking (HR, 2.886; 95%CI, 1.370-6.082), higher pulse pressure (HR, 1.022; 95%CI, 1.004-1.040), and increased fasting glucose (HR, 1.104; 95%CI, 1.020-1.194) were major risk factors. CONCLUSIONS Risk factors of diabetic renal impairment in T2DM should be screened and evaluated at an early stage of diabetes. Albuminuria, mild renal dysfunction, hyperfiltration, increased blood glucose, increased pulse pressure, and smoking were all predictors for diabetic renal impairment and interventions that focus on these risk factors may reduce further decline in renal function.
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Affiliation(s)
- Ping Hu
- Department of Endocrinology and Metabolism, Peking University People's Hospital , Beijing, China
| | - Xiang-Hai Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital , Beijing, China
| | - Xin Wen
- Department of Endocrinology and Metabolism, Peking University People's Hospital , Beijing, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital , Beijing, China
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38
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Effects of statins on the kidneys in patients with type 2 diabetes. Clin Exp Nephrol 2016; 21:633-642. [DOI: 10.1007/s10157-016-1329-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 08/16/2016] [Indexed: 10/21/2022]
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De Cosmo S, Viazzi F, Pacilli A, Giorda C, Ceriello A, Gentile S, Russo G, Rossi MC, Nicolucci A, Guida P, Pontremoli R. Predictors of chronic kidney disease in type 2 diabetes: A longitudinal study from the AMD Annals initiative. Medicine (Baltimore) 2016; 95:e4007. [PMID: 27399078 PMCID: PMC5058807 DOI: 10.1097/md.0000000000004007] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 04/28/2016] [Accepted: 05/31/2016] [Indexed: 01/25/2023] Open
Abstract
UNLABELLED The identification of clinical predictors for the development of chronic kidney disease is a critical issue in the management of patients with type 2 diabetes mellitus.We evaluated 27,029 patients with type 2 diabetes mellitus and estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m and normoalbuminuria from the database of the Italian Association of Clinical Diabetologists network. Primary outcomes were eGFR <60 mL/min/1.73 m and normoalbuminuria; albuminuria and eGFR ≥60 mL/min/1.73 m; and eGFR <60 mL/min/1.73 m and albuminuria. Secondary outcomes were eGFR <60 mL/min/1.73 m and albuminuria. MEASUREMENTS eGFR from serum creatinine by chronic kidney disease epidemiology collaboration equation (CKD-EPI), urinary albumin excretion, HbA1c, triglycerides, high-density lipoprotein cholesterol (HDL-c) and low-density lipoprotein cholesterol (LDL-c), blood pressure, and body mass index.Over a 4-year period, 33.2% of patients (n = 8973) developed chronic kidney disease, 10.3% (n = 2788) showed a decline in eGFR <60 mL/min/1.73 m, 18.4% (n = 4978) developed albuminuria, and 4.5% (n = 1207) developed both features. Relative risk ratios (RRRs) for age (1.37, P < 0.001 by 5 years), sex (0.77, P < 0.001 for being male), body mass index (1.03, P < 0.001 by 1 kg/m), triglycerides (1.02, P < 0.001 by 10 mg/dL), and LDL-c (0.97, P = 0.004 by 10 mg/dL) were independently related to the onset of eGFR reduction. Age (1.08, P < 0.001 by 5 years), sex (1.36, P < 0.001 for being male), body mass index (1.02, P < 0.001 by 1 kg/m), triglycerides (1.01, P = 0.02 by 10 mg/dL), HDL-c, and LDL-c (0.97, P = 0.008 and 0.99, P = 0.003 by 5 and 10 mg/dL, respectively) were related to the onset of albuminuria. HbA1c and the intensity of antihypertensive treatment showed a weaker association with renal outcome.Reduction in eGFR and albuminuria showed distinct sets of risk factors, suggesting that different mechanisms are involved in the development of these 2 components of diabetic kidney disease.
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Affiliation(s)
- Salvatore De Cosmo
- Department of Medical Sciences, Scientific Institute “Casa Sollievo della Sofferenza”, San Giovanni Rotondo (FG)
| | - Francesca Viazzi
- Università degli Studi and IRCCS Azienda Ospedaliera Universitaria San Martino-IST, Genova
| | - Antonio Pacilli
- Department of Medical Sciences, Scientific Institute “Casa Sollievo della Sofferenza”, San Giovanni Rotondo (FG)
| | - Carlo Giorda
- Diabetes and Metabolism Unit ASL Turin 5, Chieri (TO), Italy
| | - Antonio Ceriello
- Institut d’Investigacions Biomèdiques August Pii Sunyer (IDIBAPS) and Centro de Investigación Biomédicaen Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain
| | - Sandro Gentile
- Department of Clinical and Experimental Medicine, 2 University of Naples, Caserta
| | - Giuseppina Russo
- Department of Clinical and Experimental Medicine, University of Messina, Messina
| | - Maria C. Rossi
- Center for Outcomes Research and Clinical Epidemiology, Pescara
| | | | | | - Roberto Pontremoli
- Università degli Studi and IRCCS Azienda Ospedaliera Universitaria San Martino-IST, Genova
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Takagi M, Babazono T, Uchigata Y. Differences in risk factors for the onset of albuminuria and decrease in glomerular filtration rate in people with Type 2 diabetes mellitus: implications for the pathogenesis of diabetic kidney disease. Diabet Med 2015; 32:1354-60. [PMID: 25968955 PMCID: PMC4745025 DOI: 10.1111/dme.12793] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/07/2015] [Indexed: 12/16/2022]
Abstract
AIMS To determine differences in predictors of albuminuria and decreased estimated GFR in Japanese people with Type 2 diabetes mellitus without chronic kidney disease. METHODS This single-centre observational cohort study involved 1802 Japanese people with Type 2 diabetes with normoalbuminuria and estimated GFR ≥ 60 ml/min/1.73 m(2) (740 women; mean ± sd age 58 ± 12 years). Two separate outcomes were evaluated: onset of albuminuria ( ≥ 30 mg/g creatinine, albuminuria cohort; n = 1655) and decrease in estimated GFR ( < 60 ml/min/1.73 m(2) ; estimated GFR cohort; n = 1777). A Cox proportional hazards model was used to identify significant predictors for each outcome. RESULTS During a median follow-up period of 6.9 years for the albuminuria cohort and 8.0 years for the estimated GFR cohort, 181 and 316 individuals reached the respective outcome. The 5-year cumulative incidence of albuminuria was 8.3%, and that of decreased estimated GFR was 10.4%. In the multivariate Cox model, greater urinary albumin-to-creatinine ratio, presence of diabetic retinopathy and higher HbA1c levels were associated with both outcomes. Unique risk factors for onset of albuminuria were male gender and higher uric acid levels; those for decreased estimated GFR were older age, greater systolic blood pressure, and lower baseline estimated GFR and HDL cholesterol levels. CONCLUSIONS Identification of both common and distinct predictive factors for onset of albuminuria and decreased estimated GFR support the hypothesis that both common and distinct pathophysiological mechanisms are involved in the development of these two manifestations of chronic kidney disease in diabetes.
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Affiliation(s)
- M Takagi
- Department of Medicine, Diabetes Centre, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - T Babazono
- Department of Medicine, Diabetes Centre, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Y Uchigata
- Department of Medicine, Diabetes Centre, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
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Piccoli GB, Grassi G, Cabiddu G, Nazha M, Roggero S, Capizzi I, De Pascale A, Priola AM, Di Vico C, Maxia S, Loi V, Asunis AM, Pani A, Veltri A. Diabetic Kidney Disease: A Syndrome Rather Than a Single Disease. Rev Diabet Stud 2015; 12:87-109. [PMID: 26676663 PMCID: PMC5397985 DOI: 10.1900/rds.2015.12.87] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 04/15/2015] [Accepted: 04/22/2015] [Indexed: 12/13/2022] Open
Abstract
The term "diabetic kidney" has recently been proposed to encompass the various lesions, involving all kidney structures that characterize protean kidney damage in patients with diabetes. While glomerular diseases may follow the stepwise progression that was described several decades ago, the tenet that proteinuria identifies diabetic nephropathy is disputed today and should be limited to glomerular lesions. Improvements in glycemic control may have contributed to a decrease in the prevalence of glomerular lesions, initially described as hallmarks of diabetic nephropathy, and revealed other types of renal damage, mainly related to vasculature and interstitium, and these types usually present with little or no proteinuria. Whilst glomerular damage is the hallmark of microvascular lesions, ischemic nephropathies, renal infarction, and cholesterol emboli syndrome are the result of macrovascular involvement, and the presence of underlying renal damage sets the stage for acute infections and drug-induced kidney injuries. Impairment of the phagocytic response can cause severe and unusual forms of acute and chronic pyelonephritis. It is thus concluded that screening for albuminuria, which is useful for detecting "glomerular diabetic nephropathy", does not identify all potential nephropathies in diabetes patients. As diabetes is a risk factor for all forms of kidney disease, diagnosis in diabetic patients should include the same combination of biochemical, clinical, and imaging tests as employed in non-diabetic subjects, but with the specific consideration that chronic kidney disease (CKD) may develop more rapidly and severely in diabetic patients.
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Affiliation(s)
- Giorgina B. Piccoli
- SS Nefrologia, SCDU Urologia, San Luigi Gonzaga Hospital, Department of Clinical and Biological Sciences, University of Torino, Italy
| | - Giorgio Grassi
- SCDU Endocrinologia, Diabetologia e Metabolismo, Citta della Salute e della Scienza Torino, Italy
| | | | - Marta Nazha
- SS Nefrologia, SCDU Urologia, San Luigi Gonzaga Hospital, Department of Clinical and Biological Sciences, University of Torino, Italy
| | - Simona Roggero
- SS Nefrologia, SCDU Urologia, San Luigi Gonzaga Hospital, Department of Clinical and Biological Sciences, University of Torino, Italy
| | - Irene Capizzi
- SS Nefrologia, SCDU Urologia, San Luigi Gonzaga Hospital, Department of Clinical and Biological Sciences, University of Torino, Italy
| | - Agostino De Pascale
- SCDU Radiologia, san Luigi Gonzaga Hospital, Department of Oncology, University of Torino, Italy
| | - Adriano M. Priola
- SCDU Radiologia, san Luigi Gonzaga Hospital, Department of Oncology, University of Torino, Italy
| | - Cristina Di Vico
- SS Nefrologia, SCDU Urologia, San Luigi Gonzaga Hospital, Department of Clinical and Biological Sciences, University of Torino, Italy
| | | | | | - Anna M. Asunis
- SCD Anatomia Patologica, Brotzu Hospital, Cagliari, Italy
| | | | - Andrea Veltri
- SCDU Radiologia, san Luigi Gonzaga Hospital, Department of Oncology, University of Torino, Italy
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