scholarly journals Metabolic Syndrome and Outcomes after Renal Intervention

2011 ◽  
Vol 2011 ◽  
pp. 1-4
Author(s):  
Daynene Vykoukal ◽  
Mark G. Davies

Metabolic syndrome significantly increases the risk for cardiovascular disease and chronic kidney disease. The increased risk for cardiovascular diseases can partly be caused by a prothrombotic state that exists because of abdominal obesity. Multiple observational studies have consistently shown that increased body mass index as well as insulin resistance and increased fasting insulin levels is associated with chronic kidney disease, even after adjustment for related disorders. Metabolic syndrome appears to be a risk factor for chronic kidney disease, likely due to the combination of dysglycemia and high blood pressure. Metabolic syndrome is associated with markedly reduced renal clinical benefit and increased progression to hemodialysis following endovascular intervention for atherosclerotic renal artery stenosis. Metabolic syndrome is associated with inferior early outcomes for dialysis access procedures.

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Min-Tser Liao ◽  
Chih-Chien Sung ◽  
Kuo-Chin Hung ◽  
Chia-Chao Wu ◽  
Lan Lo ◽  
...  

Metabolic syndrome and its components are associated with chronic kidney disease (CKD) development. Insulin resistance (IR) plays a central role in the metabolic syndrome and is associated with increased risk for CKD in nondiabetic patients. IR is common in patients with mild-to-moderate stage CKD, even when the glomerular filtration rate is within the normal range. IR, along with oxidative stress and inflammation, also promotes kidney disease. In patients with end stage renal disease, IR is an independent predictor of cardiovascular disease and is linked to protein energy wasting and malnutrition. Systemic inflammation, oxidative stress, elevated serum adipokines and fetuin-A, metabolic acidosis, vitamin D deficiency, depressed serum erythropoietin, endoplasmic reticulum stress, and suppressors of cytokine signaling all cause IR by suppressing insulin receptor-PI3K-Akt pathways in CKD. In addition to adequate renal replacement therapy and correction of uremia-associated factors, thiazolidinedione, ghrelin, protein restriction, and keto-acid supplementation are therapeutic options. Weight control, reduced daily prednisolone dosage, and the use of cyclosporin decrease the risk of developing new-onset diabetes after kidney transplantation. Improved understanding of the pathogenic mechanisms underlying IR in CKD may lead to more effective therapeutic strategies to reduce uremia-associated morbidity and mortality.


2009 ◽  
Vol 32 (6) ◽  
pp. 457-463 ◽  
Author(s):  
Hossein Fakhrzadeh ◽  
Maryam Ghaderpanahi ◽  
Farshad Sharifi ◽  
Zohre Badamchizade ◽  
Mojde Mirarefin ◽  
...  

Author(s):  
Maarit Korkeila ◽  
Bengt Lindholm ◽  
Peter Stenvinkel

Overweight and obesity cause pathophysiological changes in renal function and increase the risk for chronic kidney disease in otherwise healthy subjects. This should not be a surprise as the risk factors for metabolic syndrome largely overlap with those for chronic kidney disease. Intentional weight loss has beneficial effects on risk factors, but long term effects are less clear. Bariatric surgery does seem to achieve rapid benefits on blood pressure and proteinuria as well as on other aspects of metabolic syndrome, but its long term implications for kidney function are less clear cut as there may be an increased risk of nephrolithiasis, and possibly AKI and other complications.Obesity in haemodialysis patients is one of those paradoxical examples of reverse epidemiology where a factor associated with negative outcomes in the general population is associated with better outcomes in dialysis patients. The same is true for high blood cholesterol values. Interpretation is complicated by complex competing outcomes and confounders.


PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0139369 ◽  
Author(s):  
Andrea R. Zammit ◽  
Mindy J. Katz ◽  
Carol Derby ◽  
Markus Bitzer ◽  
Richard B. Lipton

2020 ◽  
pp. 1-2
Author(s):  
Sumit Kumar ◽  
Dharmendra Prasad ◽  
Parshuram Yugal ◽  
Debarshi Jana

Background and Aims : Diabetes mellitus (DM) is a chronic disease which can evolve towards devastating micro- and macrovascular complications. DM is the most frequent cause of chronic kidney disease (CKD). Insulin resistance plays an important role in the natural history of type 1 diabetes. The purpose of the study was to determine the prevalence of CKD in T1DM and the correlation with insulin resistance (IR) in patients with CKD. Materials and Methods : The study was conducted over a period of two years (2014–2015) and included patients with DM admitted in Medicine Department of ANMMCH, Gaya, Bihar. The study design was an epidemiological, transversal, noninterventional type. Finally, the study group included 200 subjects with type 1 DM. Insulin resistance (IR) was estimated by eGDR. The subjects with eGDR ≤ 7.5mg/kg/min were considered with insulin resistance. Results : CKD was found in 44% of the patients. Analyzing statistically the presence of CKD, we found highly significant differences between patients with CKD and those without CKD regarding age and sex of the patients, the duration of diabetes, glycosylated hemoglobin (HbA1c), the estimated glucose disposal rate (eGDR), and the presence of hypertension, dyslipidemia, and hyperuricaemia. In patients with CKD, age and diabetes duration are significantly higher than in those who do not have this complication. CKD is more frequent in males than in females (50.9% men versus 34.5% women, ). From the elements of metabolic syndrome, high blood pressure, hyperuricemia, and dyslipidemia are significantly increased in diabetic patients with CKD. eGDR value (expressed as mg•kg−1•min−1) is lower in patients with CKD than in those without CKD (15.92 versus 6.42, ) indicating the fact that patients with CKD show higher insulin resistance than those without CKD. Conclusions. This study has shown that insulin resistance is associated with an increased risk of CKD, but, due to the cross-sectional design, the causal relationship cannot be assessed.


2012 ◽  
Vol 78 (12) ◽  
pp. 432-441 ◽  
Author(s):  
Stephanie Seiki ◽  
Michel Chonchol ◽  
Alfred K. Cheung ◽  
James S. Kaufman ◽  
Tom Greene ◽  
...  

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