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48
Evaluation of Chronic Kidney Disease Paul E de Jong University Medical Center Groningen The Netherlands KDIGO

Transcript of Evaluation of - KDIGO › wp-content › uploads › 2017 › 04 › Talk... · Evaluation and...

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Evaluation of Chronic Kidney Disease

Paul E de Jong University Medical Center Groningen

The Netherlands

KDIGO

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Evaluation and Management of CKD

1. Definition and classification of CKD 2. Definition and impact of progressive CKD 3. The association between CKD and CVD 4.  The treatment of progressive CKD

early, later and pre – end stage interventions 5.  Referral to specialist care

KDIGO

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Evaluation and Management of CKD

1. Definition and classification of CKD 2. Definition and impact of progressive CKD 3. The association between CKD and CVD 4.  The treatment of progressive CKD

early, later and pre – end stage interventions 5.  Referral to specialist care

KDIGO

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Definition and classification of CKD

At present many health care systems advocate screening for CKD, especially in the elderly. Which percentage of the people with CKD is detected in 2011 (US data)?

1. 5% of the cases <65yr, and 12.5% of the cases >65yr

2. 10% of the cases <65yr, and 25% of the cases >65yr

3. 20% of the cases <65yr, and 50% of the cases >65yr

4. 30% of the cases <65yr, and 75% of the cases >65yr KDIGO

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Definition and classification of CKD

In elderly with diabetes, information on the level of albuminuria is available …

1.  twice as often as info on the level of GFR

2. as frequent as info on the level of GFR

3.  in 2 out of the 3 subjects with info on GFR

4.  in 1 out of the 3 subjects with info on GFR KDIGO

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Definition and classification of CKD

With information on the level of GFR, but without info on the level of albuminuria, the risk associated with CKD can correctly be defined in

1. about 2 out of the 3 cases

2. about half of the cases

3. about 20% of the cases

4.  less than 10% of the cases KDIGO

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CKD: abnormalities of kidney structure or function for >3 months, with implications for health

KDIGO

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Use the following albuminuria categories

KDIGO

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Use the following albuminuria categories

The term “microalbuminuria” should no longer be used KDIG

O

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We suggest the following measurement for initial screening on proteinuria in a morning spot urine sample (2B) 1 albumin-creatinine ratio (ACR) 2 protein-creatinine ratio (PCR) 3 strip for total protein with automatic reading 4 strip for total protein with manual reading

Evaluation of CKD measurement of albuminuria

KDIGO

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Confirm reagent strip positive albuminuria and proteinuria by quantitative measurement of ACR or PCR

Confirm ACR ≥30mg/g (≥3mg/mmol) in a random spot urine sample in a subsequent early morning urine sample

If a more accurate estimate is required, measure albumin or total protein excretion rate in a timed urine collection

Evaluation of CKD measurement of albuminuria

KDIGO

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Use the following GFR categories

G1 and G2 is defined CKD only in case of moderately or severely increased albuminuria

KDIGO

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We recommend that laboratories report eGFR using the CKD-EPI creatinine equation (1B).

Levey AS et al. Ann Int Med 2009;150:604-612

Evaluation of CKD - measurement of GFR

KDIGO

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Matsushita K et al. JAMA 2012;307:1941-51

Evaluation of CKD - measurement of GFR

KDIGO

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normoalbuminuria micro/macroalbuminuria

>90 No CKD

Stage 1

60-75 Stage 2

30-60 Stage 3

15-30 Stage 4

<15 Stage 5

The staging of CKD since 2002

GFR

In 2002 no data on prognosis of the various stages

KDIGO

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normoalbuminuria micro/macroalbuminuria

>90 No CKD

Stage 1

60-75 Stage 2

30-60 Stage 3

15-30 Stage 4

<15 Stage 5

Risk perception in the old CKD staging system

GFR

Stage 3 is expected to have higher risk than stage 1 and 2

KDIGO

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Ranking for adjusted relative risk

Levey AS et a; Kidney Int 2011 Meta-analysis of 45 cohorts

n=1.500.000 with 5 years of follow-up

KDIGO

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Levey AS et al. Kidney Int 2011;80:17-28

Staging of CKD since 2012

KDIGO

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normal <30

mg/g

micro 30-300 mg/g

macro ≥300 mg/g

≥90

60-89

45-59

30-44

15-29

<15

normal <30

mg/g

moderate↑ 30-300 mg/g

severe ↑ ≥300 mg/g

≥90

60-89

45-59

30-44

15-29

<15

Better risk stratification with new CKD classification

stage 1

stage 2

stage 3

stage 4

stage 5

KDOQI 2002 KDIGO 2012

KDIGO

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normal <30 mg/g

moderate↑ 30-300 mg/g

severe ↑ ≥300 mg/g

≥90

60-89

45-59

30-44

15-29

<15

% of US population by GFR and albuminuria classes according to 2012 classification

1.9 0.4

2.2 0.3

3.6 0.8 0.2

1.0 0.4 0.2

0.2 0.1 0.1

0.0 0.0 0.1

Overall CKD prevalence 11.5% Levey AS et al. Kidney Int 2011;80:17-28

Risk class

moderate (yellow)

7.7% (~70%)

high (orange)

2.5% (~20%)

very high (red)

1.3% (~10%) KDIGO

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Probability of eGFR and albuminuria testing in Medicare patients at risk for CKD

USRDS, CKD Atlas 2013

KDIGO

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Prevalence (%) of recognized CKD is rising

age 65+ 20-64 20-64

USRDS, CKD Atlas 2013

KDIGO

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Prevalence of recognized CKD still insufficient

65+ 20-64 20-64 Medicare Truven Clinformatics NHANES

6.5

8.4

15.3

29.1

49.5

65.5

USRDS, CKD Atlas 2013

CKD is recognized in 10% of the cases <65yr, and in 25% of the cases >65yr (US data)

KDIGO

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<30 mg/g 30-300 ≥300 mg/g ≥90

60-89

45-59

30-44

15-29

<15

0.2

4.1

3.6

1.0

0.8

0.7

0.5

0.4

0.2

Prevalences of moderate (yellow), high (orange), and very high (red) risk

KDIGO

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<30 mg/g 30-300 ≥300 mg/g ≥90

60-89

45-59

30-44

15-29

<15

0.2

4.1

3.6

1.0

0.8

0.7

0.5

0.4

0.2

No albuminuria info: 4.8/11.5 (42%) CKD will be missed

KDIGO

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<30 mg/g 30-300 ≥300 mg/g ≥90

60-89

45-59

30-44

15-29

<15

0.2

4.1

3.6

1.0

0.8

0.7

0.5

0.4

0.2

No albuminuria info: no risk classification in GFR 30-60

KDIGO

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<30 mg/g 30-300 ≥300 mg/g ≥90

60-89

45-59

30-44

15-29

<15

0.2

4.1

3.6

1.0

0.8

0.7

0.5

0.4

0.2

No albuminuria info: only GFR ≤30 well classified

KDIGO

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Definition and classification of CKD

At present many health care systems advocate screening for CKD, especially in the elderly. Which percentage of the people with CKD is detected in 2011 (US data)?

1. 5% of the cases <65yr, and 12.5% of the cases >65yr

2. 10% of the cases <65yr, and 25% of the cases >65yr

3. 20% of the cases <65yr, and 50% of the cases >65yr

4. 30% of the cases <65yr, and 75% of the cases >65yr KDIGO

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Definition and classification of CKD

In elderly with diabetes, information on the level of albuminuria is available …

1.  twice as often as info on the level of GFR

2. as frequent as info on the level of GFR

3.  in 2 out of the 3 subjects with info on GFR

4.  in 1 out of the 3 subjects with info on GFR KDIGO

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Definition and classification of CKD

With information on the level of GFR, but without info on the level of albuminuria, the risk associated with CKD can correctly be defined in

1. about 2 out of the 3 cases

2. about half of the cases

3. about 20% of the cases

4.  less than 10% of the cases KDIGO

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Evaluation and Management of CKD

1. Definition and classification of CKD 2. Definition and impact of progressive CKD 3. The association between CKD and CVD 4.  The treatment of progressive CKD

early, later and pre – end stage interventions 5.  Referral to specialist care

KDIGO

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Definition and impact of progressive CKD

Which of the following statements on progressive CKD is not correct?

1. A fall in GFR >-30% in 2 years is comparable to a slope in GFR >-5 ml/min/1.73m2/yr

2. A fall in GFR >-30% in 2 years is observed in <5% of the subjects with a baseline GFR <60 ml/min/1.73m2

3. A fall in GFR >-30% in 2 years is associated with an increased risk for ESRD and for mortality, independent of baseline GFR

4. A fall in GFR >-30% is suggested to be an alternative endpoint in clinical trials on renoprotective therapies

KDIGO

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Assess GFR/albuminuria at least annually in people with CKD, and more often in people with higher risk

Levey AS et al. Kidney Int 2011;80:17-28

Definition of CKD progression

KDIGO

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Levey AS et al. Kidney Int 2011;80:17-28

Progression of CKD

KDIGO

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à a decline in GFR category (per 15ml/min/1.73m2), accompanied by a 25% or more drop in GFR

or

a slope of minus 5 ml/min/1.73m2/year or more

à it is to be studied whether progression should also be defined as a rise in albuminuria category,

accompanied by a 100% or more rise in albuminuria

Definition of Progression of CKD

KDIGO

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Risk of % change/2yr or slope of GFR for ESRD baseline eGFR <60ml/min/1.73m2

Coresh et al for the CKD-PC, submitted

24.7 (18.3, 33.5)

6.3 (5.2, 7.8)3.3 (2.8, 3.7)

Ref.

0.10.10.20.20.30.30.60.61.11.12.22.24.24.2

7.97.9 8.88.85.95.9

3.93.9

1313

17171515

1313

-202468

10121416

.2

1

5

25

125

PAR

, %

Adj

uste

d H

R

-20 -15 -10 -5 0 5 10Slope of eGFR, ml/min/1.73m2/year

5.9% <-30 8.9% <-5

KDIGO

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Definition and impact of progressive CKD

Which of the following statements on progressive CKD is not correct?

1. A fall in GFR >-30% in 2 years is comparable to a slope in GFR >-5 ml/min/1.73m2/yr

2. A fall in GFR >-30% in 2 years is observed in <5% of the subjects with a baseline GFR <60 ml/min/1.73m2

3. A fall in GFR >-30% in 2 years is associated with an increased risk for ESRD and for mortality, independent of baseline GFR

4. A fall in GFR >-30% is suggested to be an alternative endpoint in clinical trials on renoprotective therapies

KDIGO

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Evaluation and Management of CKD

1. Definition and classification of CKD 2. Definition and impact of progressive CKD 3. The association between CKD and CVD 4.  The treatment of progressive CKD

early, later and pre – end stage interventions 5.  Referral to specialist care

KDIGO

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The association of CKD and CVD

Which of the following statements is correct?

1. GFR and albuminuria are independently associated with an increased risk for both ESRD and CVD

2. The above associations are more steep for CVD than for ESRD

3. The above associations depend on the presence of diabetes and/or hypertension

4. The above associations depend on age and ethnicity KDIGO

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Matsushita K et al, Lancet 2010;375:2073-81 and Gansevoort RT et al Kidney Int 2011;80:93-104

CV/renal prognosis related to GFR and ACR

.51

24

816

Adju

sted

HR

15 30 45 60 75 90 105 120eGFR, ml/min/1.73m^2

All-Cause Mortality

.51

24

816

Adju

sted

HR

15 30 45 60 75 90 105 120eGFR, ml/min/1.73m^2

Cardiovascular MortalitySummary of

Relative Risks from

Continuous Meta-Analysis

.51

416

6425

6102

481

92

Adju

sted

HR

15 30 45 60 75 90 105 120eGFR, ml/min/1.73m^2

End Stage Renal Disease.5

14

1664

Adju

sted

HR

15 30 45 60 75 90 105 120eGFR, ml/min/1.73m^2

Acute Kidney Injury

.51

416

6425

6

Adju

sted

OR

15 30 45 60 75 90 105 120eGFR, ml/min/1.73m^2

Progressive CKD

KDIGO

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Mortality Rates (top) and adjusted HR (bottom) of GFR (left) and ACR (right) in age subgroups

Hallan SI et al for the CKD-PC consortium, JAMA 2012; 308:2349-60

KDIGO

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Wen CP for the CKD-PC consortium, Kidney Int 2014, in press

Adjusted HR of GFR and ACR with mortality in Asians (green), Whites (black) and Blacks (red)

KDIGO

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Fox  et  al.for  the  CKD-­‐PC  consor5um.  Lancet  2012;380:1662-­‐73  

Associa'ons  of  GFR  and  ACR  with  ESRD  in  diabetes  vs  non  diabetes  

KDIGO

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Articles

8 www.thelancet.com Published online September 24 http://dx.doi.org/10.1016/S0140-6736(12)61272-0

interaction=0·019) but was not signifi cant for cardio-vascular mortality (0·87; 0·74–1·03; p for overall interaction=0·11). Most studies showed a stronger risk association for ACR in participants without hypertension than in those with hypertension with low heterogeneity (I²=15% for all-cause mortality and 0% for cardiovascular mortality, appendix p 8).

The risk of all-cause and cardiovascular mortality increased with lower eGFR and higher albuminuria categories for both non-hypertensive and hypertensive groups (table 2). In categorical analyses, we identifi ed a signifi cant interaction in eGFR categories from 15–60 (15–75 for cardiovascular mortality) mL/min per 1·73 m² and in the albuminuria category of ACR ≥300 mg/g or dipstick ≥2+ (table 2). Appendix pp 9–12 shows HR of mortality outcomes in individuals without

hypertension compared with those with hypertension for the eGFR category of 30–44 mL/min per 1·73 m² (vs 90–104 mL/min per 1·73 m²) and albuminuria cate gory of ACR ≥300 mg/g or dipstick ≥2+ (vs ACR <10 or dip-stick –), with mild to moderate heterogeneity across cohorts (I² ranging from 23% to 40%; p from 0·037 to 0·17).

We recorded much the same results when we analysed the general population with ACR and dipstick and high-risk cohorts separately (appendix pp 13–14). In analyses categorising individuals as normotensive (systolic/diastolic blood pressure <120/80 mm Hg), pre hypertensive (systolic/diastolic blood pressure 120–139/80–89 mm Hg), controlled (systolic/diastolic blood pressure <140/90 mm Hg with antihypertensive drug use) and uncontrolled hypertensive (systolic/diastolic blood pressure ≥140/90 mm Hg), we identifi ed

Figure 3: Hazard ratios of ESRD according to eGFR and ACR in individuals without hypertension versus those with hypertension in chronic kidney disease cohorts(A, B) eGFR association with ESRD. (C, D) ACR association with ESRD. Panels A and C use eGFR of 50 mL/min per 1·73 m² (A) and ACR of 100 mg/g (C) in individuals without hypertension as the reference point (diamond) for both individuals with and without hypertension. Panels B and D use eGFR of 50 mL/min per 1·73 m² (B) and ACR of 100 mg/g (D) as the reference points (diamond) in hypertensive and non-hypertensive groups. Because there were few participants with eGFR >60 mL/min per 1·73 m² in the chronic kidney disease cohorts by defi nition, the associations were only shown below 60 mL/min per 1·73 m². Blue and red circles denote p<0·05 as compared with the reference (diamond). Hazard ratios were adjusted for age, sex, race, smoking, history of cardiovascular disease, diabetes, serum total cholesterol concentration, body-mass index, and albuminuria (log ACR, log protein-to-creatinine ratio, or categorical dipstick proteinuria [negative/trace, 1+, 2+, ≥3+]) or eGFR splines, as appropriate. ESRD=end-stage renal disease. eGFR=estimated glomerular fi ltration rate. ACR=albumin-to-creatinine ratio.

End-stage renal disease

0

1

2

4

8

16

32Ad

just

ed h

azar

d ra

tio

A

10 30 100 300 1000 3000ACR (mg/g)

End-stage renal diseaseB

10 30 100 300 1000 3000ACR (mg/g)

15 30 45 60eGFR (mL/min 1·73 m2)

15 30 45 60eGFR (mL/min 1·73 m2)

End-stage renal disease

0·25

0·5

1

2

4

8

16

Adju

sted

haz

ard

ratio

C End-stage renal diseaseD

0

Non-hypertensive, 95% CIHypertensive, 95% CI

Mahmoodi  et  al  for  the  CKD-­‐PC  Consor5um.  Lancet  2012;  380:  1649–61  

Associa'ons  of  GFR  and  ACR  with  ESRD  in  hypertensives  vs  non-­‐hypertensives  

KDIGO

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The association of CKD and CVD

Which of the following statements is correct?

1. GFR and albuminuria are independently associated with an increased risk for both ESRD and CVD

2. The above associations are more steep for CVD than for ESRD

3. The above associations depend on the presence of diabetes and/or hypertension

4. The above associations depend on age and ethnicity KDIGO

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•  The  new  CKD  classifica'on  includes  3  albuminuria  classes  in  all  GFR  strata  

•  This  classifica'on  affords  beEer  risk  stra'fica'on  •  However,  detec'on  of  increased  albuminuria  thusfar  stays  far  behind  detec'on  of  impaired  GFR  

•  Progression  of  CKD  can  be  defined  as  a  30%  loss  of  GFR  •  CKD  is  associated  with  a  worse  CV  and  renal  prognosis,  in  all  ages,  in  all  ethnici'es,  in  diabetes  and  non-­‐diabetes,  and  in  hypertension  and  non-­‐hypertension  

Take home messages

KDIGO

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Thanks for your attention

www.kdigo.org

KDIGO

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Patients Clinicians Policy Grade 1 Most people in Most patients The recommendation can be We recommend your situation should receive used as policy or

want the action, the action, performance measure only a few not

Grade 2 The majority of Different choices Debate is required before We suggest people in your are appropriate recommendation can be used

situation want Decide in line as policy or performance the action, but with patient measure many not preferences

The KDIGO grading system

Grade Evidence Meaning A high the true effect lies close to the estimate of the effect

B moderate the true effect may be close to the estimate, but may be different

C low the true effect may be substantially different from the estimate

D very low the estimate of effect is very uncertain, and often far from truth

KDIGO