2. Primary diagnoses for patients who start
dialysis
Diabetes
50%
Hypertension
27%
Glomerulonephritis
13%
Other
10%
United States Renal Data System (USRDS) 2008 Annual Data Report
3. No DM No CKD DM but No CKD DM & CKD
0%
5%
10%
15%
20%
25%
30%
35%
10 Years All Cause Mortality
Afkarian M et al., J Am Soc Nephrol. 2013 Feb;24(2):302-8
4. D.M. and the Kidney
• Stages of Diabetic Nephropathy
– Stage I – Hyperfiltration - increased blood flow through
the kidney, early renal hypertrophy
– Stage II - Glomerular lesions without clinically
evident disease
– Stage III - Incipient nephropathy with
microalbuminuria - alb/cr ratio .03 - .3 or albumin
20-200 mcg/min on timed specimen
5. D.M. and the Kidney
• Stages of Diabetic Nephropathy
– Stage IV - Overt diabetic nephropathy with proteinuria
>300 mg/24 hr, e GFR declining
– Stage V – End stage renal disease (ESRD),
creatinine clearance <15 ml/min,
6. Natural History of Renal Measures and Impairment in
Diabetic Kidney Disease
Albuminuria
Overt proteinuria
eGFR
Albumin
Courtesy of Mark E. Molitch, MD.
eGFR(mL/min/1.73m2)
0
20
40
60
80
100
120
140
0 5 10 15 20 25 30
Duration of Diabetes (years)
0
100
200
300
400
500
600
UrinaryAlbumin(mg/24h)
10. B.P. Target
KDIGO Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int Suppl. 2013;3:136-
150. http://www.kdigo.org/clinical_practice_guidelines/pdf/CKD/KDIGO_2012_CKD_GL.pdf Accessed February 26, 2013.
11. Impact of Glycemic control on rate of CKD progression
HBA1c<7% 7-9% >9%
-2
-1.8
-1.6
-1.4
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
eGFR decline/year
Lee CL, et al., Am J Nephrol 2013;38:19–26
12. Glycemic control and Incident CKD
(GFR<60 ml/min)
HBA1c6-7% 7-8% >8%
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
Incident CKD
Bash LD et al., Arch Intern Med. 2008 Dec 8;168(22):2440-7
39. Microvascular event definitions
Event type Event definition – one or more of the below
Microvascular
events
Renal
• New onset of persistent macroalbuminuria
• Persistent doubling of serum creatinine
• Need for continuous renal replacement therapy
• Death due to renal disease
Eye
• Need for retinal photocoagulation or treatment with
intravitreal agents
• Vitreous hemorrhage
• Diabetes-related blindness
Presented at the American Diabetes Association 76th Scientific Sessions, Session 3-CT-SY24. June 13 2016, New Orleans, LA, USA.
40. Time to first microvascular event
The cumulative incidences were estimated with the use of the Kaplan–Meier method, and the hazard ratios with the use of the Cox proportional-hazard regression
model. The data analyses are truncated at 54 months, because less than 10% of the patients had an observation time beyond 54 months. CI: confidence interval;
HR: hazard ratio.
Presented at the American Diabetes Association 76th Scientific Sessions, Session 3-CT-SY24. June 13 2016, New Orleans, LA, USA.
41. Time to first renal event
Macroalbuminuria, doubling of serum creatinine, ESRD, renal death
The cumulative incidences were estimated with the use of the Kaplan–Meier method, and the hazard ratios with the use of the Cox proportional-hazard regression
model. The data analyses are truncated at 54 months, because less than 10% of the patients had an observation time beyond 54 months. CI: confidence interval;
ESRD: end-stage renal disease; HR: hazard ratio.
Presented at the American Diabetes Association 76th Scientific Sessions, Session 3-CT-SY24. June 13 2016, New Orleans, LA, USA.
42. Time to first eye event
Photocoagulation or treatment with intravitreal agents, vitreous hemorrhage or blindness
The cumulative incidences were estimated with the use of the Kaplan–Meier method, and the hazard ratios with the use of the Cox proportional-hazard regression
model. The data analyses are truncated at 54 months, because less than 10% of the patients had an observation time beyond 54 months. CI: confidence interval;
HR: hazard ratio.
Presented at the American Diabetes Association 76th Scientific Sessions, Session 3-CT-SY24. June 13 2016, New Orleans, LA, USA.
43. Hazard ratio (95% CI) P value
Primary composite endpoint* 0.87 (0.78-0.97) 0.01
Expanded composite endpoint† 0.88 (0.81-0.96) 0.005
Death from any cause 0.85 (0.74-0.97) 0.02
CV death 0.78 (0.66-0.93) 0.007
Fatal or nonfatal MI 0.86 (0.73-1.00) 0.046
Nephropathy 0.78 (0.67-0.92) 0.003
Clinical Outcomes with
Liraglutide
43
LEADER
(N=9340)
*CV death, nonfatal MI (including silent MI), or nonfatal stroke; †CV death, nonfatal MI (including silent MI), nonfatal stroke, coronary
revascularization, and hospitalization for unstable angina or HF.
CI, confidence interval; CV, cardiovascular; MI, myocardial infarction.
Marso SP, et al. N Engl J Med. 2016 Jun 13. [Epub ahead of print]
0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00
Favors liraglutide
47. RESULTS:The 12-year cumulative risk of microalbuminuria was 18.9 %
( P < 0.0001) for current smokers and 15.1 % (P = 0.087) for ex-smokers,
compared with 10.0 % for nonsmokers.
The corresponding risks of macroalbuminuria were 14.4 % ( P < 0.0001), 6.1 %
( P = 0.082) and 4.7 % respectively.
The 12-year cumulative risk of ESRD was 10.3 % (P < 0.0001) for current smokers
and 10.0 % (P < 0.0001) for ex-smokers, compared with 5.6 % for nonsmokers.
CONCLUSIONS:
Current smoking is a risk factor for the progression of diabetic nephropathy and
the risk increases with the increasing dose of smoking. Ex-smokers seem to carry
a similar risk of progression of diabetic nephropathy as nonsmokers.
48. RESULTS:The 12-year cumulative risk of microalbuminuria was 18.9 %
( P < 0.0001) for current smokers and 15.1 % (P = 0.087) for ex-
smokers, compared with 10.0 % for nonsmokers.
The corresponding risks of macroalbuminuria were 14.4 %
( P < 0.0001), 6.1 % ( P = 0.082) and 4.7 % respectively.
The 12-year cumulative risk of ESRD was 10.3 % (P < 0.0001) for
current smokers and 10.0 % (P < 0.0001) for ex-smokers, compared
with 5.6 % for nonsmokers.
CONCLUSIONS:
Current smoking is a risk factor for the progression of diabetic
nephropathy and the risk increases with the increasing dose of
smoking. Ex-smokers seem to carry a similar risk of progression of
diabetic nephropathy as nonsmokers.
49. From logistic regression analysis,
smoking (p=0.0012) emerged as the
most important factor associated with
progression of nephropathy, followed by
packyears (p=0.011), HbA1c mean value
at follow-up (p=0.024), and total
cholesterol (p=0.038).
50. Antihyperglycemic Therapy in Adults with
T2DM
Pharmacologic Approaches to Glycemic Treatment:
Standards of Medical Care in Diabetes - 2018. Diabetes Care 2018; 41 (Suppl. 1): S73-S85
51. Antihyperglycemic Therapy in Adults with
T2DM
Pharmacologic Approaches to Glycemic Treatment:
Standards of Medical Care in Diabetes - 2018. Diabetes Care 2018; 41 (Suppl. 1): S73-S85
52.
53. Conclusion
• In D.N.
– Blood pressure control is a mandate
– RAS blockers are the group of choice
– Blood sugar control may have +ve impact on CKD
progression
– Pioglitasone has antiproteinuric effect
– DPP4 inhibitors (linagliptin) have antiproteinuric &
renoprotective actions
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This slide illustrates the time course of the relationship between diabetic nephropathy and the development of CKD.
In patients with diabetes, a gradual elevation of urinary albumin excretion occurs first.
Urinary albumin 30 mg/24 h, or 30 mg/g of Cr, is designated microalbuminuria.
Over time, albumin excretion gradually increases to and exceeds 300 mg/24 h.
At this point, the patient is considered to have albuminuria
After the development of albuminuria, eGFR gradually decreases over time.
The time interval between the development of albuminuria and the development of CKD Stage 5 in most patients ranges between 10 to 20 years.
This time interval provides opportunity for intervention to slow the rate of CKD progression.
KDIGO Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int Suppl. 2013;3:136-150. http://www.kdigo.org/clinical_practice_guidelines/pdf/CKD/KDIGO_2012_CKD_GL.pdf Accessed February 26, 2013.
CKD is defined as abnormalities of kidney structure or function, present for43 months, with implications for health
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Ultimately, more intensive insulin regimens may be required (see Figure 3.)
Dashed arrow line on the left-hand side of the figure denotes the option of a more rapid progression from a 2-drug combination directly to multiple daily insulin doses, in those patients with severe hyperglycaemia (e.g. HbA1c ≥10.0-12.0%).
Consider beginning with insulin if patient presents with severe hyperglycemia (≥300-350 mg/dl [≥16.7-19.4 mmol/l]; HbA1c ≥10.0-12.0%) with or without catabolic features (weight loss, ketosis, etc).
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Physiologic mechanisms implicated in the cardiovascular and renal protection with SGLT2 inhibition. HbA1c indicates hemoglobin A1c; and SGLT2, sodium-glucose cotransporter-2.
The relationship between urinary glucose excretion and eGFR. With worsening renal function impairment (eGFR), the change in urinary glucose excretion over 24 hours (UGE0-24h) diminishes. eGFR indicates estimated glomerular filtration rate; and UGE, urinary glucose excretion. http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/Drugs/EndocrinologicandMetabolicDrugsAdvisoryCommittee/UCM334550.pdf70
ANP levels in subjects with type 1 diabetes mellitus before and after treatment with an SGLT2 inhibitor. Baseline levels of atrial natriuretic peptide levels (ANP, pg/mL) in 40 patients with type 1 diabetes mellitus and ether normofiltration (T1D-N: GFR&lt;135 mL·min–1·1.73 m–2) or hyperfiltration (T1D-H: GFR≥135 mL·min–1·1.73 m–2) at baseline (A); effects of empagliflozin 25 mg daily treatment for 8 weeks on ANP levels (B); effects of empagliflozin treatment 25 mg daily for 8 weeks on ANP levels in normofilterers (C) and in hyperfilterers (D). GFR indicates glomerular filtration rate; Pre-SGLT2i-Eu, pre dose (baseline) SGLT2i euglycemia; Pre-SGLT2i-Hyper, pre dose (baseline) SGLT2i hyperglycemia; Post-SGLT2i-Eu, post dose SGLT2i euglycemia; Post-SGLT2i-Hyper, post dose SGLT2i hyperglycemia; SGLT2, sodium-glucose cotransporter-2; T1D-N, T1D with normofiltration; and T1D-H, T1D with hyperfiltration. In this study we quantified ANP by using Sigma-Aldrich’s Atrial Natriuretic Peptide EIA kit. The EIA assay was performed by Eve Technologies Corp according to Sigma-Aldrich protocol. The assay sensitivity for ANP begins at 1.02 pg/mL.
The renal-cardio hypothesis for cardiovascular protection with SGLT2 inhibition: a nephrocentric perspective. LV indicates left ventricular; and SGLT2, sodium-glucose cotransporter-2.
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Mechanisms Linking GLP-1 to Modulation of Inflammation
GLP-1 secretion from EECs is alternatively stimulated or inhibited by pro-inflammatory stimuli. GLP-1 in turn may control inflammation locally in the intestine through engagement of GLP-1 receptors on intestinal intraepithelial lymphocytes (IELs). GLP-1 may also reduce inflammation in different peripheral organs indirectly through weight loss or improved glucose control, or by targeting GLP-1Rs expressed on populations of circulating immune cells. Alternatively, GLP-1R activation may directly reduce inflammation in organs and cell types expressing the GLP-1R. The dashed line linking GLP-1 to anti-inflammatory actions in distinct organs reflects current uncertainty as to whether these actions are possibly direct or largely indirect.
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Direct and Indirect Actions of GLP-1 in the Heart and Blood Vessels
The GLP-1R is expressed predominantly in the atrium of the heart. The localization of GLP-1R expression in blood vessels is less well understood. Some blood vessels express the GLP-1R within vascular smooth muscle, whereas potential GLP-1R expression in endothelial cell populations is less completely defined. The actions of GLP-1 on heart and blood vessels are shown, and may be direct or indirect, depending on the species and specific experimental paradigm examined.
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GLP-1 Modifies CV Risk through Direct and Indirect Actions in Multiple Organs
The targets for GLP-1 that may impact the risk of developing CV disease, and the consequences of GLP-1 action in specific tissues and cell types with CV implications, are shown.
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The CV Safety of GLP-1R Agonists
Based on results from the LEADER trial, sustained GLP-1R agonism in subjects with T2D at high risk for CV events produced a reduction in MACE events and CV mortality, balanced by gastrointestinal side effects, and lingering uncertainty about any possible associated increased risk of cancer. The CV benefit of GLP-1R agonists in obese non-diabetic subjects has not been established.
Source: EAC Charter v.9.0/LEADER RM deck
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Here is an overview of the ADA’s new treatment algorithm for type 2 diabetes, moving from monotherapy, to dual therapy, to triple therapy, and then to combination injectable therapy. Lifestyle management is emphasized throughout the progression of care, and individualization based on efficacy, hypoglycemia risk, weight, side effects, and costs is recommended.
It is important to note that the ADA’s full Standards of Care provides tables on the properties of these agents, as well as the costs associated with them. Please visit professional-dot-diabetes-org-slash-S-O-C for more information.
Let’s take a closer look at the algorithm.
[SLIDE]
Starting with dual therapy, the algorithm has been updated this year to incorporate consideration of ASCVD at the point of dual therapy given results of recently published cardiovascular outcome trials.
As noted in the algorithm, in patients who do not have atherosclerotic cardiovascular disease (ASCVD), consider a combination of metformin and any one of the preferred six treatment options: sulfonylurea, thiazolidinedione, DPP-4 inhibitor, SGLT2 inhibitor, GLP-1 receptor agonist, or basal insulin; the choice of which agent to add is based on drug specific effects and patient factors, as highlighted in Table
8.1 which will be highlighted in the next slide.
For patients with ASCVD, add a second agent with evidence of cardiovascular risk reduction after consideration of drug-specific and patient factors.
If A1C target is still not achieved after 3 months of dual therapy, proceed to a three-drug combination. Again, if A1C target is not achieved after ~3 months of triple therapy, proceed to combination injectable therapy. At each step, lifestyle management should be reinforced and medication-taking behavior assessed.
[SLIDE]
As mentioned in the previous slide, Table 8.1 was added this year to highlight patient-specific factors to consider when selecting antihyperglycemic treatments for adults with T2DM.This is difficult to read, but I just wanted to highlight the overall structure of the table and describe its contents. Considerations noted in the table include: efficacy, hypoglycemia risk, effects on weight, cardiovascular effects, treatment cost, route of administration, renal effects, and additional drug-specific considerations, such as notable black box warnings and unique drug side effects.
[SLIDE]
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