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Sheffield Kidney Institute
Global Kidney Academy
CKD Natural History
Professor Meguid El Nahas, PhD, FRCP
Chairman, Global Kidney Academy
Sheffield, UK
Nephrology Online Courses
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CKD Natural History
Learning Objectives
1. Distinguish between cCKD and rCKD
2. Know Factors influencing CKD Progression
3. Know Patterns of CKD Progression
4. Know Predictors of CKD Progression (Biomarkers)
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CKD Natural History
Distinguish:
cCKD
(community Acquired/Detected CKD)
From
rCKD
(Referred CKD with primary or secondary nephropathies)
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Table 7: Susceptibility, initiation and progression risk factors in CKD
Susceptibility factors Initiation factors Progression factors
Age (older) Systemic hypertension Age (older)
Race/ethnicity (non-white) Diabetes mellitus Gender (male)
Genetics Cardiovascular disease Race/ethnicity (non-white)
Birth weight (low) Dyslipidemia Genetics
Low socioeconomic status Obesity/metabolic syndrome Hypertension
Hyperuricemia Hyperglycaemia
Smoking Proteinuria
Low socioeconomic status Cardiovascular disease
Nephrotoxins exposure:
NSAIDs, analgesics,
traditional herbal use, heavy
metals, exposure (such as
lead)
Low socioeconomic status
Acute kidney injury
CKD
cCKD rCKD
Sheffield Kidney Institute
C-K-D & Progression of cCKD
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El Nahas, KI 2010
Cardio-Kidney-Damage (C-K-D)
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Risk of developing CKD with Ageing
Kshirsagar et al, 2008
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Estimated GFR in “Healthy” Caucasian Females
0
20
40
60
80
100
120
140
160
18-
24
25-
29
30-
34
35-
39
40-
44
45-
49
50-
54
55-
59
60-
64
65-
69
70-
74
75-
79
80-
84
85+
Age (years)
eGFR(mL/min/1.73m2)
95th Percentile
50th Percentile
5th Percentile
Nijmegen Biomedical Study, 2008
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Sheffield Kidney Institute
Baltimore
Longitudinal
Study on Aging
446 men; >5 years
observational period
Subjects with edema
and proteinuria
Subjects with hypertension & DM
Subjects without co-morbidity
Creatinine clearance (ml/min)
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Figure 2.
Association of Subclinical Cardiovascular Disease Measures with Kidney Function Decline
Shlipak et al. Page 11
NIH-PAAuthorManuscriptNIH-PAAuthorManuscript
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Predicting cCKD Development
Sheffield Kidney Institute
Figure 1.
Association of Clinical Cardiovascular Disease with Kidney Function Decline
Shlipak et al. Page 10
NIH-PAAuthorManuscriptNIH-PAAuthorManuscript
Shlipak et al, 2009
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Predicting cCKD Progression
Sheffield Kidney Institute
Age impacts on outcomes in CKD
O’Hare A et al. 2007
210,000 subjects, eGFR<60mls/minute/1.73m², outcomes at 3.5 years
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CKD and Outcomes
Oregon #27,998
CKD stages Progression to
ESRD
Death
2 1.1% 19.5%
3 1.3% 24.3%
4 19.9% 45.7%
Keith DS et al, 2004
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CKD Natural History
Distinguish:
cCKD
(community Acquired/Dectected CKD)
From
rCKD
(Referred CKD with primary or secondary nephropathies)
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Sheffield Kidney Institute
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Table 7: Susceptibility, initiation and progression risk factors in CKD
Susceptibility factors Initiation factors Progression factors
Age (older) Systemic hypertension Age (older)
Race/ethnicity (non-white) Diabetes mellitus Gender (male)
Genetics Cardiovascular disease Race/ethnicity (non-white)
Birth weight (low) Dyslipidemia Genetics
Low socioeconomic status Obesity/metabolic syndrome Hypertension
Hyperuricemia Hyperglycaemia
Smoking Proteinuria
Low socioeconomic status Cardiovascular disease
Nephrotoxins exposure:
NSAIDs, analgesics,
traditional herbal use, heavy
metals, exposure (such as
lead)
Low socioeconomic status
Acute kidney injury
CKD
cCKD rCKD
Sheffield Kidney Institute
fils, M., Nivez, M. P., Isaac, R., Mayaud, C., Sraer,
olec. Med. 1975, 49, 301.
. P., Piamba, G., Fillastre, J. P., Ardaillou, R. Nephro-
.
J. A., Earnshaw, M., Russell, R. G. G., Woods, C. G.
Transpl. Ass. (in the press).
shaw, M., Heynen, G., Ledmgham, J. G. G., Oliver,
Russell, R. G. G., Woods, C. G. ibid. (in the press).
rson, R. G., Heynen, G., Ledingham, J. G. G., Russell,
R., Walton, R. J. Archs dis. Childh, (in the press).
n, J. L. E. Israel. J. med. Sci. 1971, 7, 488.
th, R., Ledingham, J. G. G., Oliver, D. O. Proc. eur.
s. 1971, 8, 122.
nenko, P., Meyner, A., Vallee, G., Beaugas, C. J. clin. In-
345.
In 31 of 34 patients with chronic renal
nsufficiency caused by various diseases,
m-creatinine concentration declined
inine concentration rose from a mean of
t;8 mg/dl over an average of 71 months.
ndicate that in most cases reciprocal
declines linearly with time as chronic
gresses. Analysis of this relation in indi-
gives an estimate of the progression of
help to determine the effects of therapy,
ed to predict when dialysis will become
Introduction
enal failure develops, serum-creatinine
easingly more rapidly. (This prediction
e well known inverse relation between
nd serum concentration of substances
rate is constant.l If this were the case,
-creatinine might fall linearly with
ned this hypothesis in patients who had
lure with various causes.
Methods
cords of all patients with chronic renal fail-
followed in a renal clinic for at least a year
here were 34 patients in whom 7 or more cre-
ions had been performed and in whom there
a threefold increase in creatinine concentra-
r of determinations over a period of at least
sen as sufficient to determine whether there
trend in serum-creatinine with time in indi-
he reciprocal of serum-creatinine concentra-
t the Annual Meeting of the American Federation
h, Atlantic City, N.J., May 2-5, 1976, and pub-
rm (Clin. Res. 1976, 24, 407).
a non-linear decline in reciprocal serum-creatinine). The
95% confidence limits of the slopes averaged 17.1% of
the individual slopes, with a range of 5.6 to 32.0%.
These limits indicate the smallest change in the rate of
progression that would be detectable by this method.
Discussion
These results indicate that in most patients reciprocal
serum-creatinine concentration declines linearly as
chronic renal failure progresses. There appear to be few
Composite plot of reciprocal serum-creatinine concentration (in
mg/dl) versus months of observation in 6 patients with
chronic renal failure.
Final value for reciprocal of serum-creatinine concentration is
shown for each patient. Ordinate has uniform divisions of 0.1 dl/mg.
Diagnoses in these patients are indicated.
1/sCr Slopes and CKD Progression
Mitch et al 1976
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m creatinine
ariability of
o estimate
um creati-
ce between
GFR versus
ations[22].
wo slopes is
art can vary
echangein
zed percent
ectory. The
used abso-
all of apa-
method of
Proteinuria/albuminuria
Protein reduction
AKI
Diabetescontrol
Alkali therapy
Multidisciplinary
follow-up
Age/race/diet
ACE/ARB
Fig. 1. Factorsaffectingrenal function trajectory.
Colorversionavailableonline
Sheffield Kidney Institute
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Risk Models for CKD Progression
Cheugui and Kengne, 2012
Sheffield Kidney Institute
Nephrology Online Courses
Risk Models for CKD Progression
Cheugui and Kengne, 2012
Sheffield Kidney Institute
Nephrology Online Courses
Risk Models for CKD Progression
Cheugui and Kengne, 2012
Sheffield Kidney Institute
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Validation of Risk Models for CKD Progression
Cheugui and Kengne, 2012
Sheffield Kidney Institute
Locatelli et al 1996
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Hypertension and CKD Progression
Sheffield Kidney Institute
BP Target
BP < 140/90mmHg
BP <130/80mmHg
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CKD progression and BP control
MDRD Study – BP and long term outcomes
Sarnak M et al Ann Intern Med. 2005
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BP and CKD Progression
Meta-Analysis
Jafar et al, 2003
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Proteinuria Target
Proteinuria <1g/24h
uPCR< 1000mg/g
uACR< 500mg/g
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Locatelli et al 1996
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Proteinuria and CKD Progression
Sheffield Kidney Institute
Locatelli et al 1996
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REIN: ACE inhibition and CKD Progression
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Renaloutcomeswithtelmisartan,ramipril,orboth,in
peopleat highvascularrisk(theONTARGETstudy):
amulticentre,randomised, double-blind,controlledtrial
JohannesFEMann,RolandESchmieder,MatthewMcQueen,LeanneDyal,Helmut Schumacher,JanicePogue,XingyuWang,AldoMaggioni,
AndrzejBudaj,SuphachaiChaithiraphan,KennethDickstein,MatyasKeltai,KajMetsärinne,AliOto,AlexanderParkhomenko,LeopoldoSPiegas,
TageLSvendsen,KoonKTeo,SalimYusuf,onbehalfoftheONTARGETinvestigators
Summary
Background Angiotensin receptor blockers(ARB) andangiotensin convertingenzyme(ACE) inhibitorsareknown to
reduce proteinuria. Their combination might be more effective than either treatment alone, but long-term data for
comparative changes in renal function are not available. We investigated the renal effects of ramipril (an ACE
inhibitor), telmisartan (an ARB), and their combination in patients aged 55 years or older with established
atheroscleroticvascular diseaseor with diabeteswith end-organ damage.
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Glycemia Target
HbA1c <8%
(between 6.5-8%)
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AKI and CKD
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in eGFRof 0.1ml/min/1.73m2
per year) followingangio-
graphy, whereasthosewith mild AKI showed adecline
in kidney function at arateof 0.8ml/min/1.73m2
per
year and thosewith moderateor severeAKI showed a
declinein kidneyfunction at arateof 2.6ml/min/1.73m2
per year (Figure 1). Notably, in patientswithout AKI or
with mild AKI, theseratesof eGFRdeclinein thepost-
underway to confirm the results o
studies.27,64
Although even prospe
studiescannot proveacausal relatio
and CKD, AKI isincreasingly cons
ated with abroad spectrum of kidne
ing progressiveCKD and ESRD. T
important clinical implications.27,65
If AKI does cause CKD progre
prevent AKI might also help to prev
and its consequences, including
vascular events.6
However, even if
CKD, recognition of theprognostic
for subsequent progression toCKD h
cations.66
The2012 KDIGO guideli
mend that patientswho haveexperi
AKI should beevaluated 3 months
recovery, new onset of CKD, devel
CKD or worseningof pre-existingC
guidelinessuggest that patientswith
vived AKI should bemanaged accor
CKD guidelines, whereasthosewith
considered at increased risk for futu
in arecent observational studyof 3,9
with eGFR<60ml/min/1.73m2
,only
had an outpatient nephrologyreferra
atingdialysisor experiencingimprov
tion during a1-year follow-up per
demonstratethat only asmall prop
of AKI receivenephrology follow-u
Importantly, not all patientswith
to advanced CKD or ESRD and m
recover kidney function after AKI.
observational studydescribed above
–15 0 3
Time (months)
MeaneGFR(ml/min/1.73m2
)
24
60
50
40
70
0
21 2718151296–3–6–9–12
No AKI
Mild AKI
Moderate or severe AKI
Coronary
angiogram
Figure 1 | Rate of change in eGFR in patients before and after coronary
angiography, according to AKI status. Patients with no AKI or mild AKI showed no
difference in the rate of eGFR decline before and after angiography. However,
among patients with moderate or severe AKI, the rate of eGFR decline increased by
1.8 ml/ min/ 1.73 m2
per year between the preangiography and postangiography
periods. Abbreviations: AKI, acute kidney injury; eGFR, estimated glomerular
filtration rate. Permission obtained from Nature Publishing Group Ltd © 
James, M. T. et al. Kidney Int. 78, 803–809 (2010).
REVIEWS
Leung et al, 2013
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Chawla and Kimmel, 2012
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Acute on CKD Deterioration
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Contrast-Induced Nephrotoxicity
Sheffield Kidney Institute
CKD Outcomes Prediction
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Age impacts on outcomes in CKD
O’Hare A et al. 2007
210,000 subjects, eGFR<60mls/minute/1.73m², outcomes at 3.5 years
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Lind et al, 2013
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Serum Cystatin C and Outcomes Prediction in CKD
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2012
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Tangri et al, 2011
CKD Progression Predictive Models
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Natural History of CKD
Important to distinguish the nature and natural history of
cCKD and rCKD
Early Detection of underlying causes of CKD and its progression may
lead to improved control
CKD progression is associated with increased overall complications,
morbidity and mortality
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CKD Natural History
Recommended Reading
1. http://www.ncbi.nlm.nih.gov/pubmed/?term=Mitch+W%2C+Lancet+1976
2. http://www.ncbi.nlm.nih.gov/pubmed/22305758
3. http://www.ncbi.nlm.nih.gov/pubmed/21482743
4. http://www.ncbi.nlm.nih.gov/pubmed/23588748
5. http://www.ncbi.nlm.nih.gov/pubmed/22699366
6. http://www.ncbi.nlm.nih.gov/pubmed/21840587
7. http://www.ncbi.nlm.nih.gov/pubmed/23617441
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http://www.ncbi.nlm.nih.gov/pubmed/19231760
CKD Natural History
Assignment
Critically Appraise
The Conceptual Model of CKD put forward by AS Levey in 2009
Sheffield Kidney Institute
CKD Natural History
MCQ1
Development of community CKD is linked primarily in the West to:
1. Ageing
2. Development of CVD
3. Herbal nephrotoxicity
4. NSAIDs Nephrotoxicity
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CKD Natural History
MCQ2
The progression of CKD in the Community depends on:
1. Severity of proteinuria
2. Progression of underlying CVD
3. Severity of dyslipidemia
4. Levels of serum CystatinC
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CKD Natural History
MCQ3
The best predictor of referred CKD progression is:
1. Albuminuria
2. Hypertension
3. Circulating levels of CRP
4. Serum Bicarbonate levels
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CKD Natural History 2014

  • 1. Sheffield Kidney Institute Global Kidney Academy CKD Natural History Professor Meguid El Nahas, PhD, FRCP Chairman, Global Kidney Academy Sheffield, UK Nephrology Online Courses
  • 2. Sheffield Kidney Institute CKD Natural History Learning Objectives 1. Distinguish between cCKD and rCKD 2. Know Factors influencing CKD Progression 3. Know Patterns of CKD Progression 4. Know Predictors of CKD Progression (Biomarkers) Nephrology Online Courses
  • 3. Sheffield Kidney Institute CKD Natural History Distinguish: cCKD (community Acquired/Detected CKD) From rCKD (Referred CKD with primary or secondary nephropathies) Nephrology Online Courses
  • 4. Sheffield Kidney Institute Nephrology Online Courses Table 7: Susceptibility, initiation and progression risk factors in CKD Susceptibility factors Initiation factors Progression factors Age (older) Systemic hypertension Age (older) Race/ethnicity (non-white) Diabetes mellitus Gender (male) Genetics Cardiovascular disease Race/ethnicity (non-white) Birth weight (low) Dyslipidemia Genetics Low socioeconomic status Obesity/metabolic syndrome Hypertension Hyperuricemia Hyperglycaemia Smoking Proteinuria Low socioeconomic status Cardiovascular disease Nephrotoxins exposure: NSAIDs, analgesics, traditional herbal use, heavy metals, exposure (such as lead) Low socioeconomic status Acute kidney injury CKD cCKD rCKD
  • 5. Sheffield Kidney Institute C-K-D & Progression of cCKD Nephrology Online Courses
  • 6. Sheffield Kidney Institute El Nahas, KI 2010 Cardio-Kidney-Damage (C-K-D) Nephrology Online Courses
  • 7. Sheffield Kidney Institute Risk of developing CKD with Ageing Kshirsagar et al, 2008 Nephrology Online Courses
  • 8. Sheffield Kidney Institute Estimated GFR in “Healthy” Caucasian Females 0 20 40 60 80 100 120 140 160 18- 24 25- 29 30- 34 35- 39 40- 44 45- 49 50- 54 55- 59 60- 64 65- 69 70- 74 75- 79 80- 84 85+ Age (years) eGFR(mL/min/1.73m2) 95th Percentile 50th Percentile 5th Percentile Nijmegen Biomedical Study, 2008 Nephrology Online Courses
  • 9. Sheffield Kidney Institute Baltimore Longitudinal Study on Aging 446 men; >5 years observational period Subjects with edema and proteinuria Subjects with hypertension & DM Subjects without co-morbidity Creatinine clearance (ml/min) Nephrology Online Courses
  • 10. Sheffield Kidney Institute Figure 2. Association of Subclinical Cardiovascular Disease Measures with Kidney Function Decline Shlipak et al. Page 11 NIH-PAAuthorManuscriptNIH-PAAuthorManuscript Nephrology Online Courses Predicting cCKD Development
  • 11. Sheffield Kidney Institute Figure 1. Association of Clinical Cardiovascular Disease with Kidney Function Decline Shlipak et al. Page 10 NIH-PAAuthorManuscriptNIH-PAAuthorManuscript Shlipak et al, 2009 Nephrology Online Courses Predicting cCKD Progression
  • 12. Sheffield Kidney Institute Age impacts on outcomes in CKD O’Hare A et al. 2007 210,000 subjects, eGFR<60mls/minute/1.73m², outcomes at 3.5 years Nephrology Online Courses
  • 13. Sheffield Kidney Institute CKD and Outcomes Oregon #27,998 CKD stages Progression to ESRD Death 2 1.1% 19.5% 3 1.3% 24.3% 4 19.9% 45.7% Keith DS et al, 2004 Nephrology Online Courses
  • 14. Sheffield Kidney Institute CKD Natural History Distinguish: cCKD (community Acquired/Dectected CKD) From rCKD (Referred CKD with primary or secondary nephropathies) Nephrology Online Courses
  • 16. Sheffield Kidney Institute Nephrology Online Courses Table 7: Susceptibility, initiation and progression risk factors in CKD Susceptibility factors Initiation factors Progression factors Age (older) Systemic hypertension Age (older) Race/ethnicity (non-white) Diabetes mellitus Gender (male) Genetics Cardiovascular disease Race/ethnicity (non-white) Birth weight (low) Dyslipidemia Genetics Low socioeconomic status Obesity/metabolic syndrome Hypertension Hyperuricemia Hyperglycaemia Smoking Proteinuria Low socioeconomic status Cardiovascular disease Nephrotoxins exposure: NSAIDs, analgesics, traditional herbal use, heavy metals, exposure (such as lead) Low socioeconomic status Acute kidney injury CKD cCKD rCKD
  • 17. Sheffield Kidney Institute fils, M., Nivez, M. P., Isaac, R., Mayaud, C., Sraer, olec. Med. 1975, 49, 301. . P., Piamba, G., Fillastre, J. P., Ardaillou, R. Nephro- . J. A., Earnshaw, M., Russell, R. G. G., Woods, C. G. Transpl. Ass. (in the press). shaw, M., Heynen, G., Ledmgham, J. G. G., Oliver, Russell, R. G. G., Woods, C. G. ibid. (in the press). rson, R. G., Heynen, G., Ledingham, J. G. G., Russell, R., Walton, R. J. Archs dis. Childh, (in the press). n, J. L. E. Israel. J. med. Sci. 1971, 7, 488. th, R., Ledingham, J. G. G., Oliver, D. O. Proc. eur. s. 1971, 8, 122. nenko, P., Meyner, A., Vallee, G., Beaugas, C. J. clin. In- 345. In 31 of 34 patients with chronic renal nsufficiency caused by various diseases, m-creatinine concentration declined inine concentration rose from a mean of t;8 mg/dl over an average of 71 months. ndicate that in most cases reciprocal declines linearly with time as chronic gresses. Analysis of this relation in indi- gives an estimate of the progression of help to determine the effects of therapy, ed to predict when dialysis will become Introduction enal failure develops, serum-creatinine easingly more rapidly. (This prediction e well known inverse relation between nd serum concentration of substances rate is constant.l If this were the case, -creatinine might fall linearly with ned this hypothesis in patients who had lure with various causes. Methods cords of all patients with chronic renal fail- followed in a renal clinic for at least a year here were 34 patients in whom 7 or more cre- ions had been performed and in whom there a threefold increase in creatinine concentra- r of determinations over a period of at least sen as sufficient to determine whether there trend in serum-creatinine with time in indi- he reciprocal of serum-creatinine concentra- t the Annual Meeting of the American Federation h, Atlantic City, N.J., May 2-5, 1976, and pub- rm (Clin. Res. 1976, 24, 407). a non-linear decline in reciprocal serum-creatinine). The 95% confidence limits of the slopes averaged 17.1% of the individual slopes, with a range of 5.6 to 32.0%. These limits indicate the smallest change in the rate of progression that would be detectable by this method. Discussion These results indicate that in most patients reciprocal serum-creatinine concentration declines linearly as chronic renal failure progresses. There appear to be few Composite plot of reciprocal serum-creatinine concentration (in mg/dl) versus months of observation in 6 patients with chronic renal failure. Final value for reciprocal of serum-creatinine concentration is shown for each patient. Ordinate has uniform divisions of 0.1 dl/mg. Diagnoses in these patients are indicated. 1/sCr Slopes and CKD Progression Mitch et al 1976 Nephrology Online Courses
  • 19. Sheffield Kidney Institute Nephrology Online Courses m creatinine ariability of o estimate um creati- ce between GFR versus ations[22]. wo slopes is art can vary echangein zed percent ectory. The used abso- all of apa- method of Proteinuria/albuminuria Protein reduction AKI Diabetescontrol Alkali therapy Multidisciplinary follow-up Age/race/diet ACE/ARB Fig. 1. Factorsaffectingrenal function trajectory. Colorversionavailableonline
  • 20. Sheffield Kidney Institute Nephrology Online Courses Risk Models for CKD Progression Cheugui and Kengne, 2012
  • 21. Sheffield Kidney Institute Nephrology Online Courses Risk Models for CKD Progression Cheugui and Kengne, 2012
  • 22. Sheffield Kidney Institute Nephrology Online Courses Risk Models for CKD Progression Cheugui and Kengne, 2012
  • 23. Sheffield Kidney Institute Nephrology Online Courses Validation of Risk Models for CKD Progression Cheugui and Kengne, 2012
  • 24. Sheffield Kidney Institute Locatelli et al 1996 Nephrology Online Courses Hypertension and CKD Progression
  • 25. Sheffield Kidney Institute BP Target BP < 140/90mmHg BP <130/80mmHg Nephrology Online Courses
  • 27. Sheffield Kidney Institute CKD progression and BP control MDRD Study – BP and long term outcomes Sarnak M et al Ann Intern Med. 2005 Nephrology Online Courses
  • 30. Sheffield Kidney Institute BP and CKD Progression Meta-Analysis Jafar et al, 2003 Nephrology Online Courses
  • 31. Sheffield Kidney Institute Proteinuria Target Proteinuria <1g/24h uPCR< 1000mg/g uACR< 500mg/g Nephrology Online Courses
  • 32. Sheffield Kidney Institute Locatelli et al 1996 Nephrology Online Courses Proteinuria and CKD Progression
  • 33. Sheffield Kidney Institute Locatelli et al 1996 Nephrology Online Courses
  • 34. Sheffield Kidney Institute REIN: ACE inhibition and CKD Progression Nephrology Online Courses
  • 36. Sheffield Kidney Institute Renaloutcomeswithtelmisartan,ramipril,orboth,in peopleat highvascularrisk(theONTARGETstudy): amulticentre,randomised, double-blind,controlledtrial JohannesFEMann,RolandESchmieder,MatthewMcQueen,LeanneDyal,Helmut Schumacher,JanicePogue,XingyuWang,AldoMaggioni, AndrzejBudaj,SuphachaiChaithiraphan,KennethDickstein,MatyasKeltai,KajMetsärinne,AliOto,AlexanderParkhomenko,LeopoldoSPiegas, TageLSvendsen,KoonKTeo,SalimYusuf,onbehalfoftheONTARGETinvestigators Summary Background Angiotensin receptor blockers(ARB) andangiotensin convertingenzyme(ACE) inhibitorsareknown to reduce proteinuria. Their combination might be more effective than either treatment alone, but long-term data for comparative changes in renal function are not available. We investigated the renal effects of ramipril (an ACE inhibitor), telmisartan (an ARB), and their combination in patients aged 55 years or older with established atheroscleroticvascular diseaseor with diabeteswith end-organ damage. Nephrology Online Courses
  • 37. Sheffield Kidney Institute Glycemia Target HbA1c <8% (between 6.5-8%) Nephrology Online Courses
  • 40. Sheffield Kidney Institute AKI and CKD Nephrology Online Courses
  • 41. Sheffield Kidney Institute Nephrology Online Courses in eGFRof 0.1ml/min/1.73m2 per year) followingangio- graphy, whereasthosewith mild AKI showed adecline in kidney function at arateof 0.8ml/min/1.73m2 per year and thosewith moderateor severeAKI showed a declinein kidneyfunction at arateof 2.6ml/min/1.73m2 per year (Figure 1). Notably, in patientswithout AKI or with mild AKI, theseratesof eGFRdeclinein thepost- underway to confirm the results o studies.27,64 Although even prospe studiescannot proveacausal relatio and CKD, AKI isincreasingly cons ated with abroad spectrum of kidne ing progressiveCKD and ESRD. T important clinical implications.27,65 If AKI does cause CKD progre prevent AKI might also help to prev and its consequences, including vascular events.6 However, even if CKD, recognition of theprognostic for subsequent progression toCKD h cations.66 The2012 KDIGO guideli mend that patientswho haveexperi AKI should beevaluated 3 months recovery, new onset of CKD, devel CKD or worseningof pre-existingC guidelinessuggest that patientswith vived AKI should bemanaged accor CKD guidelines, whereasthosewith considered at increased risk for futu in arecent observational studyof 3,9 with eGFR<60ml/min/1.73m2 ,only had an outpatient nephrologyreferra atingdialysisor experiencingimprov tion during a1-year follow-up per demonstratethat only asmall prop of AKI receivenephrology follow-u Importantly, not all patientswith to advanced CKD or ESRD and m recover kidney function after AKI. observational studydescribed above –15 0 3 Time (months) MeaneGFR(ml/min/1.73m2 ) 24 60 50 40 70 0 21 2718151296–3–6–9–12 No AKI Mild AKI Moderate or severe AKI Coronary angiogram Figure 1 | Rate of change in eGFR in patients before and after coronary angiography, according to AKI status. Patients with no AKI or mild AKI showed no difference in the rate of eGFR decline before and after angiography. However, among patients with moderate or severe AKI, the rate of eGFR decline increased by 1.8 ml/ min/ 1.73 m2 per year between the preangiography and postangiography periods. Abbreviations: AKI, acute kidney injury; eGFR, estimated glomerular filtration rate. Permission obtained from Nature Publishing Group Ltd ©  James, M. T. et al. Kidney Int. 78, 803–809 (2010). REVIEWS Leung et al, 2013
  • 42. Sheffield Kidney Institute Nephrology Online Courses Chawla and Kimmel, 2012
  • 43. Sheffield Kidney Institute Acute on CKD Deterioration Nephrology Online Courses
  • 46. Sheffield Kidney Institute Nephrology Online Courses Contrast-Induced Nephrotoxicity
  • 47. Sheffield Kidney Institute CKD Outcomes Prediction Nephrology Online Courses
  • 48. Sheffield Kidney Institute Age impacts on outcomes in CKD O’Hare A et al. 2007 210,000 subjects, eGFR<60mls/minute/1.73m², outcomes at 3.5 years Nephrology Online Courses
  • 49. Sheffield Kidney Institute Lind et al, 2013 Nephrology Online Courses Serum Cystatin C and Outcomes Prediction in CKD
  • 53. Sheffield Kidney Institute Tangri et al, 2011 CKD Progression Predictive Models Nephrology Online Courses
  • 54. Sheffield Kidney Institute Natural History of CKD Important to distinguish the nature and natural history of cCKD and rCKD Early Detection of underlying causes of CKD and its progression may lead to improved control CKD progression is associated with increased overall complications, morbidity and mortality Nephrology Online Courses
  • 55. Sheffield Kidney Institute CKD Natural History Recommended Reading 1. http://www.ncbi.nlm.nih.gov/pubmed/?term=Mitch+W%2C+Lancet+1976 2. http://www.ncbi.nlm.nih.gov/pubmed/22305758 3. http://www.ncbi.nlm.nih.gov/pubmed/21482743 4. http://www.ncbi.nlm.nih.gov/pubmed/23588748 5. http://www.ncbi.nlm.nih.gov/pubmed/22699366 6. http://www.ncbi.nlm.nih.gov/pubmed/21840587 7. http://www.ncbi.nlm.nih.gov/pubmed/23617441 Nephrology Online Courses
  • 56. Sheffield Kidney Institute Nephrology Online Courses http://www.ncbi.nlm.nih.gov/pubmed/19231760 CKD Natural History Assignment Critically Appraise The Conceptual Model of CKD put forward by AS Levey in 2009
  • 57. Sheffield Kidney Institute CKD Natural History MCQ1 Development of community CKD is linked primarily in the West to: 1. Ageing 2. Development of CVD 3. Herbal nephrotoxicity 4. NSAIDs Nephrotoxicity Nephrology Online Courses
  • 58. Sheffield Kidney Institute CKD Natural History MCQ2 The progression of CKD in the Community depends on: 1. Severity of proteinuria 2. Progression of underlying CVD 3. Severity of dyslipidemia 4. Levels of serum CystatinC Nephrology Online Courses
  • 59. Sheffield Kidney Institute CKD Natural History MCQ3 The best predictor of referred CKD progression is: 1. Albuminuria 2. Hypertension 3. Circulating levels of CRP 4. Serum Bicarbonate levels Nephrology Online Courses