| Literature DB >> 31576500 |
Giuseppe Pugliese1,2, Giuseppe Penno3,4, Andrea Natali3,5, Federica Barutta6, Salvatore Di Paolo7, Gianpaolo Reboldi8, Loreto Gesualdo9,10, Luca De Nicola11.
Abstract
AIMS: This joint document of the Italian Diabetes Society and the Italian Society of Nephrology reviews the natural history of diabetic kidney disease (DKD) in the light of the recent epidemiological literature and provides updated recommendations on anti-hyperglycemic treatment with non-insulin agents. DATA SYNTHESIS: Recent epidemiological studies have disclosed a wide heterogeneity of DKD. In addition to the classical albuminuric phenotype, two new albuminuria-independent phenotypes have emerged, i.e., "nonalbuminuric renal impairment" and "progressive renal decline", suggesting that DKD progression toward end-stage kidney disease (ESKD) may occur through two distinct pathways, albuminuric and nonalbuminuric. Several biomarkers have been associated with decline of estimated glomerular filtration rate (eGFR) independent of albuminuria and other clinical variables, thus possibly improving ESKD prediction. However, the pathogenesis and anatomical correlates of these phenotypes are still unclear. Also the management of hyperglycemia in patients with type 2 diabetes and impaired renal function has profoundly changed during the last two decades. New anti-hyperglycemic drugs, which do not cause hypoglycemia and weight gain and, in some cases, seem to provide cardiorenal protection, have become available for treatment of these individuals. In addition, the lowest eGFR safety thresholds for some of the old agents, particularly metformin and insulin secretagogues, have been reconsidered.Entities:
Keywords: Albuminuria; Anti-hyperglycemic therapy; Diabetes mellitus; Diabetic nephropathy; End-stage kidney disease; Estimated glomerular filtration rate
Mesh:
Year: 2020 PMID: 31576500 PMCID: PMC7007429 DOI: 10.1007/s40620-019-00650-x
Source DB: PubMed Journal: J Nephrol ISSN: 1121-8428 Impact factor: 3.902
Distribution of DKD phenotypes in individuals with T2D
| Study | Country | Years | GFR method | T2D, % | Alb− eGFR−, % | Alb+ eGFR−, % | eGFR+, % | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All, % | Alb+, % | Alb, % | Alb−, % of all eGFR+ | Alb−/Ret−, % of all eGFR+ | ||||||||
| Kramer et al. [ | US | 1988–1994 | MDRD | 1197 | 100 | 54.0 | 31.7 | 14.3 | 9.3 | 5.0 | 35.1 | 29.8 |
| Afkarian et al. [ | US | 1988–1994 | CKD-EPI | 1430 | 100 | 54.0 | 27.1 | 19.0 | 10.3 | 8.7 | 45.8 | – |
| Bailey et al. [ | US | 1999–2012 | CKD-EPI (+ MDRD) | 2915 | 100 | 51.0 | 24.0 | 25.0 | 13.1 | 11.9 | 47.7 | – |
1466 ≥ 65 years | 100 | 38.7 | 20.4 | 40.8 | 21.3 | 19.5 | 47.7 | – | ||||
| Mottl et al. [ | US | 2001–2008 | CKD-EPI | 2798 | 100 | 56.5 | 23.0 | 20.5 | 9.9 | 10.6 | 51.8 | – |
| MacIsaac et al. [ | Australia | 1990–2001 | Isotopic | 301 | 100 | 38.2 | 25.6 | 36.3 | 21.9 | 14.3 | 39.4 | 29.3 |
| Dwyer et al. [ | 33 countries from Europe, Asia, Africa, Oceania, North & Central-South America | 2003 | MDRD | 11,573 | 100 | 43 | 34 | 23 | 13 | 9 | 40.1 | – |
| Yokoyama et al. [ | Japan | 2004–2005 | MDRD Jap | 3297 | 100 | 61.8 | 22.9 | 15.3 | 7.4 | 7.9 | 51.8 | 39.9 |
| Thomas et al. [ | Australia | 2005 | MDRD | 3893 | 100 | 52.9 | 24.2 | 22.9 | 10.5 | 12.4 | 54.1 | – |
| Penno et al. J Hypertens. 2011;29:1802–1809 (RIACE) | Italy | 2006–2008 | MDRD (+ CDD-EPI) | 15,773 | 100 | 62.5 | 18.7 | 18.8 | 8.2 | 10.6 | 56.6 | 43.2 |
| Afghahi et al. J Diabetes Complications. 2013;27: 229–234 (Swedish National Diabetes Register) | Sweden | 2007 | MDRD (+ Cockcroft-Gault) | 81,315 | 100 | 63.5 | 16.4 | 20.0 | 7.6 | 12.4 | 61.9 | 49.6 |
| Hill et al. [ | UK | 2007–2008 | CKD-EPI | 800,439 | 100 | 57.7 | 17.7 | 24.5 | 8.9 | 15.6 | 63.7 | – |
| Koye et al. [ | US | 2003–2008 | CKD-EPI | 1908a (eGFR 21–44 years > 20 < 70, 45–64 years < 60, 65–74 years < 50) | 100 | – | – | 100.0 | 71.6 | 28.4 | 28.4 | |
| De Cosmo et al. [ | Italy | 2009 | CKD-EPI | 120,903 | 100 | 52.6 | 23.8 | 23.5 | 12.2 | 11.3 | 48.2 | 39.3 |
| Gao et al. [ | China | 2008–2009 | CKD-EPI | 8811 | 100 | 67.2 | 17.5 | 15.3 | 4.6 | 10.7 | 69.9 | – |
| Lee et al. [ | Korea | 2011–2013 | MDRD (+ CKD-EPI) | 1067a | 100 | 30.1 | 31.1 | 38.8 | 29.6 | 9.2 | 23.7 | 17.1 |
| Rodriguez-Poncelas et al. [ | Spain | 2011 | MDRD | 1145 | 100 | 62.1 | 9.9 | 18.0 | 12.5 | 5.5 | 69.4 | – |
| Bramlage et al. [ | Germany | 2010–2017 | MDRD | 240,510 | 100 | 45.1 | 15.8 | 39.3 | 12.4 | 26.9 | 68.3 | – |
| Drury et al. [ | Australia, New Zealand, Finland | 1998–2000 | MDRD | 9795 | 100 | 71.2 | 23.4 | 5.3 | 2.2 | 3.1 | 59.1 | – |
| Ninomiya et al. [ | 20 countries from Europe, Asia, Oceania, North America | 2001–2003 | MDRD | 10,640 | 100 | 57.5 | 23.3 | 19.2 | 7.3 | 11.8 | 61.6 | – |
| Tobe et al. [ | 40 countries from Europe, Asia, Oceania, North America | 2001–2004 | MDRD | 23,422 | 37.5 | 61.9 | 14.1 | 24.0 | 7.6 | 16.4 | 68.2 | – |
| Bakris et al. [ | US, Denmark, Sweden, Norway, Finland | 2003–2005 | ? | 8519 | 60 | 62.3 | 27.2 | 10.5 | 5.6 | 4.9 | 46.8 | – |
| Retnakaran et al. [ | UK | 1977–1991 | Cockcroft-Gault | 4006 (median follow-up of 15 years) | 100 | 47.3 | 24.4 | 28.3 | 13.9 (9.3)b | 14.4 (19.0)b | 50.8 (67.1)b | – |
aExclusion of patients on RAS blockers
b% values at the time reduction of eGFR occurred
Alb micro or macroalbuminuria, Alb normoalbuminuria, eGFR+ < 60 ml/min/1.73 m2, eGFR− ≥ 60 ml/min/1.73 m2, Ret− no retinopathy, NHANES National Health And Nutrition Examination Survey, DEMAND Developing Education on Microalbuminuria for Awareness of Renal and Cardiovascular Risk in Diabetes, JDDM Japan Diabetes clinical Data Management, NEFRON National Evaluation of the Frequency of Renal Impairment cO-existing with NIDDM, RIACE Renal Insufficiency And Cardiovascular Events, CRIC Chronic Renal Insufficiency Cohort, PERCEDIME2 Prevalence of ease in Patients with Type 2 Diabetes, DPV Diabetes-Patienten-Verlaufsdokumentation, DIVE DIabetes Versorgungs-Evaluation, FIELD Fenofibrate Intervention and Event Lowering in Diabetes, ADVANCE Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation, ONTARGET/TRASCEND Ongoing Telmisartan Alone and in Combination With Ramipril Global End Point Trial/Telmisartan Randomized Assessment Study in ACE Intolerant Subjects With Cardiovascular Disease, ACCOMPLISH Avoiding Cardiovascular events through COMbination therapy in Patients LIving with Systolic Hypertension, UKPDS United Kingdom Prospective Diabetes Study
Distribution of DKD phenotypes in individuals with T1D
| Study | Country | Years | GFR method | T1D, % | Alb− eGFR−, % | Alb+ eGFR−, % | eGFR+, % | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All, % | Alb+, % | Alb, % | Alb−, % of all eGFR+ | Alb−/Ret−, % of all eGFR+ | ||||||||
| Thorn et al. [ | Finland | 1998–2005 | CKD-EPI | 3809 | 100 | 67.4 | 19.4 | 13.1 | 11.1 | 2.0 | 15.5 | – |
| Penno et al. [ | Italy | 2001–2009 | MDRD | 777 | 100 | 89.4 | 6.8 | 3.7 | 1.5 | 2.2 | 58.6 | 11.1 |
| Pacilli et al. [ | Italy | 2004–2011 | CKD-EPI | 20,464 | 100 | 76.5 | 15.4 | 8.0 | 4.1 | 3.9 | 48.9 | – |
| Lamacchia et al. [ | Italy | 2004–2011 | CKD-EPI | 1395 (eGFR ≤ 60 ml/min/1.73 m2) | 100 | – | – | 100.0 | 48.5 | 51.5 | 51.5 | 36.6 |
| Hill et al. [ | UK | 2007–2008 | CKD-EPI | 68,177 | 100 | 67.6 | 18.4 | 14.0 | 6.4 | 7.6 | 54.4 | – |
| Molitch et al. [ | North America | 1983–1989 | MDRD | 1439 (mean follow-up of 19 years) | 100 | 46.9 | 46.9 | 6.2 | 4.7 | 1.5 | 23.6 | – |
Alb+ micro or macroalbuminuria, Alb− normoalbuminuria, eGFR+ < 60 ml/min/1.73 m2, eGFR− ≥ 60 ml/min/1.73 m2, Ret− no retinopathy, FinnDiane Finnish Diabetic Nephropathy Study, DCCT/EDIC Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications
Fig. 1Albuminuric and nonalbuminuric pathways of DKD progression. DKD diabetic kidney disease, GFR glomerular filtration rate, ESKD end-stage kidney disease
Fig. 2Recommended usage and dosage of currently available non-insulin drugs according to the level of eGFR. eGFR estimated glomerular filtration rate, DPP-4 dipeptidyl peptidase 4, GLP-1 glucagon-like peptide 1, SGLT2 sodium-glucose cotransporter 2