Literature DB >> 33109780

Progression of diabetic kidney disease: Who is at risk?

T Jamale1.   

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Year:  2020        PMID: 33109780      PMCID: PMC7819385          DOI: 10.4103/jpgm.JPGM_1014_20

Source DB:  PubMed          Journal:  J Postgrad Med        ISSN: 0022-3859            Impact factor:   1.476


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Inhibition of rennin angiotensin system is the cornerstone of the management of diabetic kidney disease (DKD) for decades[1] with latest addition of SGLT2 inhibition.[2] Despite these measures, after the onset of overt nephropathy in type 2 diabetes, kidney disease is progressive and is a major cause of End Stage Renal Disease (ESRD) worldwide. Identifying and addressing the new modifiable risk factors can potentially add to the optimum management of DKD. Current definition and classification of chronic kidney disease (CKD)[3] doesn't give an insight into the risk of progression of the disease. This is especially so in patients with no significant albuminuria and mildly reduced glomerular filtration rate (GFR) who in fact are largely contributing to the rising incidence of CKD. Although most of these individuals will never progress to more severe or dialysis requiring renal failure; it is important to distinguish “progressors” from “nonprogrerssors” in earlier stages of CKD so as to effectively focus the therapies to the patients who deserve them the most. In this issue of JPGM,[4] Huanget al. evaluated a cohort of 320 patients with type 2 diabetes and CKD stage 3 for the identification of the risk of disease progression over an observation period of 7 years. They have reported that female sex, change in eGFR in first 2 years, fluctuations in diabetes and blood pressure control were independent risk factors for disease progression. Male sex is associated with significantly higher risk of progression of kidney disease in the reported literature.[5] On the contrary, Huang et al[4] have noted that female sex was an independent risk factor for progression in their patients, a finding that deserve further exploration looking at genetic, hormonal as well as factors like socioeconomic status, and gender bias in access to the health care which is not uncommon in east Asian countries. Change in eGFR in the first 2 years was identified as another risk factor for progression, for which there may be two possible explanations. First, initial GFR decline identifies patients at the risk of progression due to genetic or traditional risk factors and so are destined to progress faster than those whose kidney function was stable in the first few years after diagnosis. Second, renal function decline in the first 2 years may be due to episodes of Acute Kidney Injury (AKI) which are not only more common in patients with underlying CKD but are known to recover by maladaptive repair mechanisms[6] leading to residual damage and accounting for apparently faster progression of CKD. Observational studies are limited by their design and definitive conclusions about causality of the observed associations merit further research. Two other risk factors that were found to be associated with CKD progression in this study4need careful interpretation: namely fluctuations in the blood pressure and blood sugar. Increasingly, it is realized that clinically measured blood pressure [BP] is not a reliable metric of BP control[7] and conclusions based on such readings can be misleading. It is well known that BP regulation is one of the important functions of the kidney; and that controlling the patient's BP becomes increasingly difficult with progression of the stage of CKD. Similarly, it is well known that blood glucose control can get adversely affected with renal function decline. Insulin resistance is increased in earlier CKD stages[8] and risk of hypoglycemia increases in advanced renal failure due to impaired degradation of insulin.[9] These factors may explain the observed variations in the blood glucose levels in the present study.4 The present study[4] also poses an important question about definition and classification of CKD in population over age of 60 years. CKD has long been defined and staged by serum creatinine based eGFR which can greatly overestimate the incidence of CKD (especially CKD stage 3) in elderly population.[10] This not only is the cause of panic and anxiety, but also diverts the focus of preventive and therapeutic interventions. Age calibration of CKD classification[11] is one of the suggestions to account for physiological aging-related decrease in GFR and identify those who are likely to develop clinical consequences of reduced GFR. Also, more objective measurements of renal function such as mGFR (measured GFR) should be considered in future research studies analyzing risk factors for CKD progression.
  10 in total

Review 1.  Follow-up Care in Acute Kidney Injury: Lost in Transition.

Authors:  Samuel A Silver; Edward D Siew
Journal:  Adv Chronic Kidney Dis       Date:  2017-07       Impact factor: 3.620

Review 2.  Glucose and insulin metabolism in uremia.

Authors:  R H Mak; R A DeFronzo
Journal:  Nephron       Date:  1992       Impact factor: 2.847

Review 3.  An epidemic of chronic kidney disease: fact or fiction?

Authors:  Richard J Glassock; Christopher Winearls
Journal:  Nephrol Dial Transplant       Date:  2008-04       Impact factor: 5.992

Review 4.  Carbohydrate and insulin metabolism in renal failure.

Authors:  A Alvestrand
Journal:  Kidney Int Suppl       Date:  1997-11       Impact factor: 10.545

5.  An Age-Calibrated Classification of Chronic Kidney Disease.

Authors:  Richard Glassock; Pierre Delanaye; Meguid El Nahas
Journal:  JAMA       Date:  2015-08-11       Impact factor: 56.272

Review 6.  Screening for, monitoring, and treatment of chronic kidney disease stages 1 to 3: a systematic review for the U.S. Preventive Services Task Force and for an American College of Physicians Clinical Practice Guideline.

Authors:  Howard A Fink; Areef Ishani; Brent C Taylor; Nancy L Greer; Roderick MacDonald; Dominic Rossini; Sameea Sadiq; Srilakshmi Lankireddy; Robert L Kane; Timothy J Wilt
Journal:  Ann Intern Med       Date:  2012-04-17       Impact factor: 25.391

Review 7.  Diagnostic and predictive accuracy of blood pressure screening methods with consideration of rescreening intervals: a systematic review for the U.S. Preventive Services Task Force.

Authors:  Margaret A Piper; Corinne V Evans; Brittany U Burda; Karen L Margolis; Elizabeth O'Connor; Evelyn P Whitlock
Journal:  Ann Intern Med       Date:  2015-02-03       Impact factor: 25.391

8.  SGLT2 inhibitors for the prevention of kidney failure in patients with type 2 diabetes: a systematic review and meta-analysis.

Authors:  Brendon L Neuen; Tamara Young; Hiddo J L Heerspink; Bruce Neal; Vlado Perkovic; Laurent Billot; Kenneth W Mahaffey; David M Charytan; David C Wheeler; Clare Arnott; Severine Bompoint; Adeera Levin; Meg J Jardine
Journal:  Lancet Diabetes Endocrinol       Date:  2019-09-05       Impact factor: 32.069

Review 9.  Risk Factors for Development and Progression of Chronic Kidney Disease: A Systematic Review and Exploratory Meta-Analysis.

Authors:  Wan-Chuan Tsai; Hon-Yen Wu; Yu-Sen Peng; Mei-Ju Ko; Ming-Shiou Wu; Kuan-Yu Hung; Kwan-Dun Wu; Tzong-Shinn Chu; Kuo-Liong Chien
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

10.  Modifiable factors related to 7-year renal outcomes in subjects with type 2 diabetes and chronic kidney disease stage 3.

Authors:  C H Huang; C P Chen; Y Y Huang; B R S Hsu
Journal:  J Postgrad Med       Date:  2020 Oct-Dec       Impact factor: 1.476

  10 in total

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