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Incidence and predictors of chronic kidney disease in type-II diabetes mellitus patients attending at the Amhara region referral hospitals, Ethiopia: A follow-up study.
Ahmed, MA, Ferede, YM, Takele, WW
PloS one. 2022;(1):e0263138
Abstract
BACKGROUND Chronic kidney disease (CKD) is the severest form of kidney disease characterized by poor filtration. The magnitude of chronic kidney disease is trending upward in the last few years linked with the rapidly escalating cases of non-communicable chronic diseases, particularly diabetes mellitus. However, little is known about when this problem may occur, the incidence as well as predictors of chronic kidney disease among type-II diabetes mellitus patients. Thus, this study was conducted to determine the incidence, time to the occurrence, and predictors of chronic kidney disease in type-II diabetic patients attending the Amhara region referral hospitals, Ethiopia. METHODS A retrospective follow-up study was conducted involving 415 participants with type-II diabetes mellitus that enrolled in the chronic follow-up from 2012 to 2017. Multivariable shared Frailty Weibull (Gamma) survival model was employed considering the hospitals as a clustering variable. Model fitness was checked by both the Akaike information criteria (AIC) and log-likelihood. Factors having a p-value of ≤0.2 in the bi-variable analysis were considered to enter the multivariable model. Variables that had a p-value of <0.05 with its corresponding 95% confidence level were deemed to be significant predictors of chronic kidney disease. RESULTS The overall cumulative incidence of chronic kidney disease was 10.8% [95%; CI: 7.7-14.0%] with a median occurrence time of 5 years. The annual incidence rate was 193/10,000 [95%; CI: 144.28-258.78]. Having cardiovascular disease/s [AHR = 3.82; 95%CI: 1.4470-10.1023] and hypercholesterolemia [AHR = 3.31; 95% CI: 1.3323-8.2703] were predictors of chronic kidney disease. CONCLUSION One out of every ten diabetic patients experienced chronic kidney disease. The median time to develop chronic kidney disease was five years. Hypercholesterolemia and cardiovascular diseases have escalated the hazard of developing CKD. Thus, health promotion and education of diabetic patients to optimize cholesterol levels and prevent cardiovascular disease is recommended to limit the occurrence of this life-threatening disease.
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Renoprotection with sodium-glucose cotransporter-2 inhibitors in children: Knowns and unknowns.
Jiang, B, Cheng, Z, Liu, F, Li, Q, Fu, H, Mao, J
Nephrology (Carlton, Vic.). 2022;(2):126-132
Abstract
Sodium-glucose cotransporter-2 (SGLT2) inhibitors represent novel hypoglycemic drugs for the treatment of adult diabetes that have shown considerable potential for cardioprotection and renoprotection. This new drug can inhibit SGLT2 at the proximal tubule, increase glucosuria and natriuresis, and thus decreases the serum glucose level and blood pressure. Furthermore, the tubuloglomerular feedback activated by the natriuresis can decrease glomerular hyperfiltration, acknowledged as the main foundation of renoprotection. Several studies have confirmed the protective effects of SGLT2 inhibitors on the kidneys of adult diabetic patients and those with non-diabetic nephropathy; however, limited researches are seen in paediatric patients. In this review, we have summarized the mechanisms of action of SGLT2 inhibitors, the current experiences in adults, results of exploratory studies in children, and adverse events & obstacles of paediatric use. We further explore the potential and possible future research direction of SGLT2 inhibitors in paediatric diseases.
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Effects of physical activity on the progression of diabetic nephropathy: a meta-analysis.
Cai, Z, Yang, Y, Zhang, J
Bioscience reports. 2021;(1)
Abstract
BACKGROUND Diabetic nephropathy (DN) is an important microvascular complication of diabetes. Physical activity (PA) is part of a healthy lifestyle for diabetic patients; however, the role of PA in DN has not been clarified. Our aim was to conduct a meta-analysis to explore the association between PA and DN risk. METHODS PubMed, Embase, Cochrane Library and Web of Science were systematically searched for articles examining PA in diabetic patients and its effect on renal function. Standardized mean differences (SMDs) and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. The study protocol is registered with PROSPERO (CRD42020191379). RESULTS A total of 38991 participants were identified from 18 studies. The results indicated that PA was associated with increases in the glomerular filtration rate (SMD = 0.01, 95% CI = [0.02-0.17]) and decreases in the urinary albumin creatinine ratio (SMD = -0.53, 95% CI: -0.72 to -0.34), rate of microalbuminuria (OR = 0.61, 95% CI = [0.46-0.81]), rate of acute kidney injury (OR = 0.02, 95% CI = [0.01-0.04]), rate of renal failure (OR = 0.71, 95% CI = [0.52-0.97]) and risk of DN in patients with Type 1 diabetes (OR = 0.67, 95% CI = [0.51-0.89]). CONCLUSIONS This meta-analysis indicated that PA is effective for improving DN and slowing its progression; however, more high-quality randomized controlled trials are required on this topic.
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Performance of prediction models for nephropathy in people with type 2 diabetes: systematic review and external validation study.
Slieker, RC, van der Heijden, AAWA, Siddiqui, MK, Langendoen-Gort, M, Nijpels, G, Herings, R, Feenstra, TL, Moons, KGM, Bell, S, Elders, PJ, et al
BMJ (Clinical research ed.). 2021;:n2134
Abstract
OBJECTIVES To identify and assess the quality and accuracy of prognostic models for nephropathy and to validate these models in external cohorts of people with type 2 diabetes. DESIGN Systematic review and external validation. DATA SOURCES PubMed and Embase. ELIGIBILITY CRITERIA Studies describing the development of a model to predict the risk of nephropathy, applicable to people with type 2 diabetes. METHODS Screening, data extraction, and risk of bias assessment were done in duplicate. Eligible models were externally validated in the Hoorn Diabetes Care System (DCS) cohort (n=11 450) for the same outcomes for which they were developed. Risks of nephropathy were calculated and compared with observed risk over 2, 5, and 10 years of follow-up. Model performance was assessed based on intercept adjusted calibration and discrimination (Harrell's C statistic). RESULTS 41 studies included in the systematic review reported 64 models, 46 of which were developed in a population with diabetes and 18 in the general population including diabetes as a predictor. The predicted outcomes included albuminuria, diabetic kidney disease, chronic kidney disease (general population), and end stage renal disease. The reported apparent discrimination of the 46 models varied considerably across the different predicted outcomes, from 0.60 (95% confidence interval 0.56 to 0.64) to 0.99 (not available) for the models developed in a diabetes population and from 0.59 (not available) to 0.96 (0.95 to 0.97) for the models developed in the general population. Calibration was reported in 31 of the 41 studies, and the models were generally well calibrated. 21 of the 64 retrieved models were externally validated in the Hoorn DCS cohort for predicting risk of albuminuria, diabetic kidney disease, and chronic kidney disease, with considerable variation in performance across prediction horizons and models. For all three outcomes, however, at least two models had C statistics >0.8, indicating excellent discrimination. In a secondary external validation in GoDARTS (Genetics of Diabetes Audit and Research in Tayside Scotland), models developed for diabetic kidney disease outperformed those for chronic kidney disease. Models were generally well calibrated across all three prediction horizons. CONCLUSIONS This study identified multiple prediction models to predict albuminuria, diabetic kidney disease, chronic kidney disease, and end stage renal disease. In the external validation, discrimination and calibration for albuminuria, diabetic kidney disease, and chronic kidney disease varied considerably across prediction horizons and models. For each outcome, however, specific models showed good discrimination and calibration across the three prediction horizons, with clinically accessible predictors, making them applicable in a clinical setting. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020192831.
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Renoprotective Effects of Incretin-Based Therapy in Diabetes Mellitus.
Yaribeygi, H, Atkin, SL, Montecucco, F, Jamialahmadi, T, Sahebkar, A
BioMed research international. 2021;:8163153
Abstract
Glucagon-like peptide-1 (GLP-1) receptor agonists are recently discovered antidiabetic drugs with potent hypoglycemic effects. Among different mechanisms of activity, these compounds were shown to reduce blood glucose by suppression of glucagon secretion and stimulation of glucose-dependent insulin secretion. These antidiabetic agents have a minor risk of hypoglycemia and have been suggested as a second-line therapy to be added to metformin treatment to further optimize glycemic control in diabetes. More recently, scientific evidence suggests that GLP-1 receptor agonists may particularly afford protection from diabetic nephropathy through modulation of the molecular pathways involved in renal impairment and so improve renal function. This additional benefit adds further weight for these compounds to become promising drugs not only for glycemic control but also to prevent diabetic complications. In this review, we have updated evidence on the beneficial effects of GLP-1 receptor agonists on diabetic nephropathy and detailed the underlying pathophysiological mechanisms.
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SGLT2 Inhibition for CKD and Cardiovascular Disease in Type 2 Diabetes: Report of a Scientific Workshop Sponsored by the National Kidney Foundation.
Tuttle, KR, Brosius, FC, Cavender, MA, Fioretto, P, Fowler, KJ, Heerspink, HJL, Manley, T, McGuire, DK, Molitch, ME, Mottl, AK, et al
Diabetes. 2021;(1):1-16
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Diabetes is the most frequent cause of chronic kidney disease (CKD), leading to nearly half of all cases of kidney failure requiring replacement therapy. The principal cause of death among patients with diabetes and CKD is cardiovascular disease (CVD). Sodium/glucose cotransporter 2 (SGLT2) inhibitors were developed to lower blood glucose levels by inhibiting glucose reabsorption in the proximal tubule. In clinical trials designed to demonstrate the CVD safety of SGLT2 inhibitors in type 2 diabetes mellitus (T2DM), consistent reductions in risks for secondary kidney disease end points (albuminuria and a composite of serum creatinine doubling or 40% estimated glomerular filtration rate decline, kidney failure, or death), along with reductions in CVD events, were observed. In patients with CKD, the kidney and CVD benefits of canagliflozin were established by the CREDENCE (Canagliflozin and Renal Events in Diabetes With Established Nephropathy Clinical Evaluation) trial in patients with T2DM, urinary albumin-creatinine ratio >300 mg/g, and estimated glomerular filtration rate of 30 to <90 mL/min/1.73 m2 To clarify and support the role of SGLT2 inhibitors for treatment of T2DM and CKD, the National Kidney Foundation convened a scientific workshop with an international panel of more than 80 experts. They discussed the current state of knowledge and unanswered questions in order to propose therapeutic approaches and delineate future research. SGLT2 inhibitors improve glomerular hemodynamic function and are thought to ameliorate other local and systemic mechanisms involved in the pathogenesis of CKD and CVD. SGLT2 inhibitors should be used when possible by people with T2DM to reduce risks for CKD and CVD in alignment with the clinical trial entry criteria. Important risks of SGLT2 inhibitors include euglycemic ketoacidosis, genital mycotic infections, and volume depletion. Careful consideration should be given to the balance of benefits and harms of SGLT2 inhibitors and risk mitigation strategies. Effective implementation strategies are needed to achieve widespread use of these life-saving medications.
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Discoveries from the study of longstanding type 1 diabetes.
Perkins, BA, Lovblom, LE, Lanctôt, SO, Lamb, K, Cherney, DZI
Diabetologia. 2021;(6):1189-1200
Abstract
Award programmes that acknowledge the remarkable accomplishments of long-term survivors with type 1 diabetes have naturally evolved into research programmes to determine the factors associated with survivorship and resistance to chronic complications. In this review, we present an overview of the methodological sources of selection bias inherent in survivorship research (selection of those with early-onset diabetes, incidence-prevalence bias and bias from losses to follow-up in cohort studies) and the breadth and depth of literature focusing on this special study population. We focus on the learnings from the study of longstanding type 1 diabetes on discoveries about the natural history of insulin production loss and microvascular complications, and mechanisms associated with them that may in future offer therapeutic targets. We detail descriptive findings about the prevalence of preserved insulin production and resistance to complications, and the putative mechanisms associated with such resistance. To date, findings imply that the following mechanisms exist: strategies to maintain or recover beta cells and their function; activation of specific glycolytic enzymes such as pyruvate kinase M2; modification of AGE production and processing; novel mechanisms for modification of renin-angiotensin-aldosterone system activation, in particular those that may normalise afferent rather than efferent renal arteriolar resistance; and activation and modification of processes such as retinol binding and DNA damage checkpoint proteins. Among the many clinical and public health insights, research into this special study population has identified putative mechanisms that may in future serve as therapeutic targets, knowledge that likely could not have been gained without studying long-term survivors.
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Efficacy and safety of traditional Chinese medicine injection with mecobalamin in treating diabetic peripheral neuropathy: A protocol for systematic review and meta-analysis.
Mai, W, Wei, A, Lin, X, Wang, F, Ye, J, Chen, P
Medicine. 2021;(1):e23702
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BACKGROUND Diabetic peripheral neuropathy is a common complication of diabetes and the main cause of disability. At present, there is no specific therapeutic regimen. Mecobalamin is often used as a neurotrophic drug, and its long-term effects are not satisfactory when used alone. Clinical practice indicates that traditional Chinese medicine injection with mecobalamin has a therapeutic advantage in treating diabetic peripheral neuropathy while it lacks evidence-based medicine. In this scheme, the efficacy and safety of traditional Chinese medicine injection with mecobalamin in treating diabetic peripheral neuropathy has been studied. METHODS Computers were used to search the English database (PubMed, the Cochrane Library, Embase, Web of Science), and Chinese database (CNKI, Wanfang, CBMDISC, VIP). Besides, manual searching was conducted to search for Baidu Scholar, CHICTR, Google Scholar. During the establishment of the database to November 2020, a randomized controlled trial on traditional Chinese medicine injection with mecobalamin in treating diabetic peripheral neuropathy was conducted. There were 2 researchers independently conducting data extraction and quality evaluation of literature on the included studies, RevMan5.3 was performed for meta-analysis on the included literature. RESULTS In this study, the efficacy and safety of traditional Chinese medicine injection with mecobalamin in treating diabetic peripheral neuropathy was evaluated by the total effective rate, motor nerve conduction velocity, sensory nerve conduction velocity, adverse reactions, and glucose metabolism level. CONCLUSION This study can provide an evidence-based basis on the clinical applications of traditional Chinese medicine injection with mecobalamin in the treatment of diabetic peripheral neuropathy. ETHICS AND DISSEMINATION The study does not involve patient privacy or rights and does not require approval from an ethics committee. The results may be published in peer-reviewed journals or disseminated at relevant conferences. OSF REGISTRATION NUMBER DOI 10.17605/OSF.IO/KPW5E.
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Therapeutic Targeting of SGLT2: A New Era in the Treatment of Diabetes and Diabetic Kidney Disease.
Shaffner, J, Chen, B, Malhotra, DK, Dworkin, LD, Gong, R
Frontiers in endocrinology. 2021;:749010
Abstract
As the prevalence of diabetic kidney disease (DKD) continues to rise, so does the need for a novel therapeutic modality that can control and slow its progression to end-stage renal disease. The advent of sodium-glucose cotransporter-2 (SGLT2) inhibitors has provided a major advancement for the treatment of DKD. However, there still remains insufficient understanding of the mechanism of action and effectiveness of this drug, and as a result, its use has been very limited. Burgeoning evidence suggests that the SGLT2 inhibitors possess renal protective activities that are able to lower glycemic levels, improve blood pressure/hemodynamics, cause bodyweight loss, mitigate oxidative stress, exert anti-inflammatory and anti-fibrotic effects, reduce urinary albumin excretion, lower uric acid levels, diminish the activity of intrarenal renin-angiotensin-aldosterone system, and reduce natriuretic peptide levels. SGLT2 inhibitors have been shown to be safe and beneficial for use in patients with a GFR ≥30mL/min/1.73m2, associated with a constellation of signs of metabolic reprogramming, including enhanced ketogenesis, which may be responsible for the correction of metabolic reprogramming that underlies DKD. This article aims to provide a comprehensive overview and better understanding of the SGLT2 inhibitor and its benefits as it pertains to renal pathophysiology. It summarizes our recent understanding on the mechanisms of action of SGLT2 inhibitors, discusses the effects of SGLT2 inhibitors on diabetes and DKD, and presents future research directions and therapeutic potential.
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The predictive value of diabetic retinopathy on subsequent diabetic nephropathy in patients with type 2 diabetes: a systematic review and meta-analysis of prospective studies.
Li, Y, Su, X, Ye, Q, Guo, X, Xu, B, Guan, T, Chen, A
Renal failure. 2021;(1):231-240
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This systematic review and meta-analysis aimed to assess the predictive value of diabetic retinopathy (DR) on further diabetic nephropathy (DN) risk in patients with type 2 diabetes (T2D) based on the prospective cohort studies. PubMed, Embase, and the Cochrane Library were systematically searched for eligible prospective cohort studies through March 2020. The predictive value of DR was assessed using sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the receiver operating characteristic curve (AUC) through the bivariate generalized linear mixed model and the random-effects model. Ten prospective cohort studies recruited 635 patients with T2D. The pooled sensitivity and specificity of DR for predicted DN were noted to be 0.64 (95% CI, 0.54-0.73) and 0.77 (95% CI, 0.60-0.88), respectively. The pooled PLR and NLR of DR for predicted DN were 2.72 (95% CI, 1.42-5.19) and 0.47 (95% CI, 0.33-0.67), respectively. The summary DOR for the relationship between DR and subsequent DN for T2D patients was 5.53 (95% CI, 2.00-15.30), and the AUC of DR for predicted DN was 0.73 (95% CI, 0.69-0.77). This study found significant associations between DR and subsequent DN risk for patients with T2D. Moreover, the predictive value of DR on subsequent DN risk was relatively lower.