las dos caras de la cretinina sérica · bagshaw et al: nephrol dial transplant 24: 2739-2744, 2009...
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©2013 MFMER | 3322132-1©2013 MFMER | 3322132-1
Las dos caras de la cretinina séricaThe two sides of serum creatinine
Kianoush B. Kashani, MD, MSc, FASN, FCCP
ASOCIACION COSTARRICENSE DE MEDICINA INTERNA
San José, Costa Rica
June 2017
©2013 MFMER | 3322132-2
Disclosure
• I have no COI regarding this activity
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Outlines
• AKI definitions
• Bad side
• Limitations
• Clinical impact
• Good side
• Sarcopenia index
• Outcome prediction
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RIFLE Criteria
Bellomo et al; Critical Care 2004, 8:R204-R212
GFR criteria Urine output criteria
Risk
Injury
Failure
Loss
ESRD
High sensitivity
High specificity
Persistent ARF = complete loss of renal function >4 weeks
End-stage renal disease
Increased creatinine x3 or GFR decrease >75%
or creatinine 4 mg/100 mL (acute rise of 0.5 mg/100 mL dL)
Increased creatinine x2 or GFR decrease >50%
Increased creatinine x1.5 or GFR decrease >25%
UO <0.5 mL kg-1
h-1 x6 hr
UO <0.5 mL kg-1
h-1 x12 hr
UO <0.3 mL kg-1
h-1 x24 hr or anuriax12 hr
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AKIN Definition for AKI
Stage I
Stage II
Stage III
• Inc Scr 0.3 mg/dL or >150-200% from baseline
• Inc Scr >200-300% from baseline
• Inc Scr >300%
• Scr >4 with acute min rise of 0.5 mg/dL
• Need for RRT
• <0.3 mL/kg/hr for 24 hr
• Anuria for 12 hr
<0.5 mL/kg/hr for >12 hr
<0.5 mL/kg/hr for >6 hr
Mehta et al; Critical Care 2007, 11:R31
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KDIGO Definition for AKI
Kidney International Supplements (2012) 2, 19–36
Stage I
Stage II
Stage III
• ↑ Scr 0.3 mg/dL
OR
• 1.5–1.9 times baseline
• 2.0–2.9 times baseline
• 3.0 times baseline OR
• Scr > 4 mg/dL OR
• Initiation of RRT OR
• <18 yrs ↓ in eGFR to <35 ml/min per 1.73 m2
• <0.3 mL/kg/hr for 24 hr
• Anuria for 12 hr
<0.5 mL/kg/hr for >12 hr
<0.5 mL/kg/hr for >6 hr
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Siew at al: Clin J Am Soc Nephrol 7:712–719, 2012
ICC (95% CI) per Days Before Admission
Estimated Method 7-365 days 7-730 days 1-730 days
Most recent
outpatient
0.84
(0.80-0.88)a
0.83
(0.78-0.86)b
0.74
(0.68-0.79)c
Mean outpatient0.91
(0.88-0.92)a
0.81
(0.77-0.84)b
0.71
(0.65-0.76)c
Nadir outpatient0.83
(0.76-0.87)a
0.64
(0.46-0.75)b
0.68
(0.31-0.83)c
Most recent
inpatient or
outpatient
0.88
(0.85-0.91)d
0.88
(0.85-0.91)d
0.80
(0.76-0.84)e
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Intraclass correlations based on CKD Status
ICC (95% CI)
Estimation Method
eGFR <60 mL/min per 1.73 m2
(n=259)
eGFR 60 mL/min per 1.73 m2
(n=120)
Most recent outpatient0.80
(0.74-0.85)0.58
(0.42-0.70)
Mean outpatient0.87
(0.83-0.90)0.75
(0.65-0.83)
Nadir outpatient0.76
(0.66-0.83)0.65
(0.48-0.76)
Most recent inpatient or outpatient
0.85(0.81-0.88)
0.65(0.53-0.75)
Siew at al: Clin J Am Soc Nephrol 7: 712–719, 2012
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Fluid Balance Impact on SCr(n=7696)
5,7
16,4
30,3
37,6
5,4
15,9
28,3
40,1
0
20
40
60
80
100
0 Stage 1 Stage 2 Stage 3
No fluid correction
Fluid correction
60-d
ay m
ort
alit
y (
%)
No AKI before and after adjustment
AKI before but No AKI after adjustment
No AKI before but AKI after
adjustment
AKI before andafter adjustment
Odds ratio for 60-day mortality0 1 2 3 4 5
1.19
2.00
3.38
Thongprayoon et al: J Nephrol 29(2): 221-227
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Observed vs. estimated (MDRD GFR=75)Scr67% had pre-admission creatinine; (n=1314; 46% CKD)
Bagshaw et al: Nephrol Dial Transplant 24: 2739-2744, 2009
Diffe
rence
Average
-25
-10
0
10
25
.1 5 10 15 20
Average
-25
-10
0
10
25
.1 5 10 15 20
r = 0.49 r = 0.39
ICU admission At study enrollment
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Observed vs. estimated (MDRD GFR=75)ScrCKD excluded
Bagshaw et al: Nephrol Dial Transplant 24: 2739-2744, 2009
Diffe
rence
Average
ICU admission At study enrollment
-25
-10
0
10
25
.1 5 10 15 20
Average
-25
-10
0
10
25
.1 5 10 15 20
r = 0.84r = 0.9
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Scr at Admission vs. MDRD75When Baseline SCr unavailable (n=3504; 45% of whole cohort)
5,1
11,7
22,725,1
6,0
18,0
32,129,9
0
10
20
30
40
50
0 Stage 1 Stage 2 Stage 3
Thongprayoon et al: BMC Nephrology 17:6, 2016
MDRD75
60
-Day m
ort
alit
y (
%)
Admission SCr
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Discrimination vs. CalibrationA
KI risk
Time
AKI
No AKIEarly AKI(Stage 1, risk)
Pre-disease state
Pre-diseaseAKI signal
ADQI XV
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Therapeutic Window
Himmelfarb et al: Clin J Am Soc Nephrol 3:962, 2008
High Risk
Volume ResponsiveAKI
Volume UnresponsiveAKI
Therapeutic Window
Kidney FunctionMortality
BiomarkersSensitive Traditional
Hypervolemia
Euvolemia
Hypovolemia
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Time Course of Development of Increasing Serum Creatinine in Hospitalized HF Patients
0
20
40
60
80
100
0 3 6 9 12 15
%
Days
Gottlieb et al: J Card Fail 8:136, 2002
0.5
0.4
0.3
0.2
0.1
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MELD Equation
• MELD =(0.957 log(creatinine) + 0.378 x log(bilirubin) +1.12 log(INR) +0.643) x 10
• http://www.mayoclinic.org/gi-rst/mayomodel6.html
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MELD Equation
• MELD =(0.957 log(creatinine) + 0.378 x log(bilirubin) +1.12 log(INR) +0.643) x 10
• http://www.mayoclinic.org/gi-rst/mayomodel6.html
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Sample MELD Scores
INR Bilirubin Creatinine MELD
1 1 1 6
2 1 1 19
1 3 1 11
1 1 3 17
3 3 3 33
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Transplant Benefit by MELD Score
1
10
100
1000
10000Waitlist
Transplant
Mort
alit
y r
ate
per
10
00 p
atie
nts
6-11 12-14 15-17 17-20 21-23 24-26 27-29 30-39 40+
MELD
HR=3.64
P<0.001
HR=2.35
P<0.001
HR=1.21
P=0.41
HR=0.62
P<0.01
HR=0.38
P<0.001
HR=0.22
P<0.001
HR=0.18
P<0.001
HR=0.07
P<0.001
HR=0.04
P<0.001
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GFR and Waitlist Survival
Lim: J Hep 52:523, 2010
660 LTx candidates at Mayo (90-99)
Years
Surv
ival
0.0 0.5 1.0 1.5 2.0
0.0
0.2
0.4
0.6
0.8
1.0
60 (n=482)
30-59 (n=134)
<30 (n=44)
P<0.001
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Waitlisted ♀ 20% Less Likely Than ♂ to Undergo Liver Transplantation
0
20
40
60
80
100
0 2 4 6 8 10
Allen AM. Tall, Male, and What Else? Disparities in Liver Transplantation Based On Gender and Height
Transplantation 2014 (98) S-725
Years since activation
Male
Female
Pro
ba
bili
ty (
%)
Transplant
Death
UNOS 2002-2011
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Factors That Disadvantage Women
Shorter
Small body
Less muscle mass
Lower creatinine =
lower MELD
More hepatocellular
carcinoma =
MELD exception points
Women Men
MELD
exceptionsHeight
?
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Women Receive Fewer Creatinine-Meld Points Than Men With Similar Renal Function
0
2
4
6
8
Measured GFR (mL/min/BSA)
Male
Female
Cre
atin
ine M
ELD
poin
ts
1.74
2.37
1.15
1.34
1.54
80 70 60 50 40 30 20
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Sensitivity
Specificity
Availability
Serumcreatinine
Urine outputBL serum creatinine
Contextual data, comorbidities, medications, organ failure, biomarkers
ADQI 15th
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Koyner et al: Clin J Am Soc Nephrol 11, 2016
1
1
1
1
2
2
2
4
4
5
5
6
7
8
9
9
10
11
14
14
16
18
23
24
26
49
52
66
100
0 20 40 60 80 100
AST
DBP
Hb
AVPU
SVP
Platelets
Bilirubin
Prior ICU
Sodium
Age
Potassium
Glucose
BUN/Cr
HR
Creatinine
Variable importance
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Complementary to injury biomarkers
10th ADQI Consensus Conference. Adapted from Murray PT et al. Kidney International 2013
“Subclinical AKI”
No functional changes or damage
Damage without loss of function
Loss of function without damage
Damage with loss of function
BiomarkerNegative
BiomarkerPositive
CreatinineNegative
CreatininePositive
“Prerenal AKI”
“True AKI”
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• Observational cohort study in Dutch 154,308 ICU patients
• Hospital mortality, increasing for BMI <18.5 kg/m2
• BMI 30-39.9 kg/m2
had the lowest risk of death with an adjusted OR of 0.86 (0.83-0.90)
Relative risk
Absolute mortality rate (%)20
10
5
2.5
1.0
0.5
0.25
30
25
20
15
5040302010
Body-mass index (kg/m2)
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• A retrospective cohort study of 11,291 adult patients
• Mayo Clinic Hospital –Rochester ICUs
• Between 2003 and 2006
Creatinine concentration in mg/dL
Mort
alit
y (
%)
50
0.4 0.4-0.6 0.6-0.8 0.8-1.0 1.0-1.4 1.4-1.6 1.91.6-1.9
25 350 665 2558 4545 941 1443764n=
40
30
20
10
0
3
0
1
2
LO
S in IC
U (
Days)
ICU LOS
Mortality
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• Multicenter, binational, retrospective cohort study
• ANZICS
• 1.5 million admission
• 175 ICUs
• 2000 – 2013
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Patients’ Flow Chart
All records for the period 2000-2013 in ANZICS
=1,250,449 Admissions
1,045,718 Admissions
Exclusions
62585 – Readmissions (during the same hospital stay)
5904 – Missing vital status at hospital discharge
361 – Post kidney transplant
34902 – Receiving chronic renal replacement therapy
54979 – Missing peak plasma CR concentration in first 24 hrs
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Results
N =1,047,518 N =96,630; Ht & Wt available
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Low Admission Scr
• Observational cohort study in 73,994 patients
• Mayo Clinic Hospital –Rochester ICUs
• Between 2011 and 2013
2,8
1,00,8
1,01,3
2,4
3,6
0
1
2
3
4
0.4 0.5-0.6 0.7-0.8 0.9-1.0 1.1-1.2 1.3-1.4 1.5
Serum creatinine at hospital admission (mg/dl)
In-h
ospital m
ort
alit
y (
%)
Cheungpasitporn W, Thongprayoon C, Kashani K. The American Journal of Medicine (2016)
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Low Admission Scr ↑ Hospital Mortality (Independent of BMI)
• Adjustments:
• Age, sex, race, BMI, principal diagnosis, CCI, CAD, CHF, PVD, CVA, DM, COPD, cirrhosis, hemi/paraplegia
Cheungpasitporn W, Thongprayoon C, Kashani K. The American Journal of Medicine (2016)
0
1
2
3
4
≤0.4 0.5-0.6 0.7-0.8 0.9-1.0 1.1-1.2 1.3-1.4 ≥1.5
OR
of
in-h
os
pit
al m
ort
ali
ty
Serum Creatinine at Hospital Admission (mg/dL)
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Body-mass index (kg/m2)
0.6
0.7
0.8
0.9
1.0
1.2
1.4
1.6
1.8
2.0
All-
cause m
ort
alit
y h
azard
ratio
Unadjusted
Case-mix
Case-mix & MICS
Reference
Recommended
range
Over-
weight
Obesity
Mild
Mo
de
rate
Se
ve
re
Ve
ry s
eve
re
• 121,762 patients receiving HD 3 times/wk
• Years 2001- 2006
• Outpatient dialysis facilities (DaVita)
Kalantar-Zadeh, K., et al. (2010). Mayo Clinic Proceedings 85(11): 991-1001
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Unadjusted
Case-mix
Case-mix & MICS
Serum creatinine (mg/dL)
All-
cause m
ort
alit
y h
azard
ratio
2.0
2.4
1.6
1.2
1.0
ReferenceSmall muscle mass
Moderate muscle mass
Large muscle mass0.8
0.6
0.4
<4 4 to <6 6 to <8 8 to <10 10 to <12 12 to <14 14
Kalantar-Zadeh, K., et al. (2010). Mayo Clinic Proceedings 85(11): 991-1001
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Reference Gained muscle mass
Lost muscle mass
No change in
muscle mass
Unadjusted
Case-mix
Case-mix & MICS
Serum creatinine (mg/dL)
All-
cause m
ort
alit
y h
azard
ratio
0.8
<-2 -2 to -1 -1 to +1 +1 to +2 >+2
0.9
1.0
1.2
1.4
1.6
Kalantar-Zadeh, K., et al. (2010). Mayo Clinic Proceedings 85(11): 991-1001
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ICU cohort
• N=226 high risk ICU patients with no AKI
• 105 had an abdominal CT scan within 4 weeks from ICU admission
• Median (IQR) 0.5 (0.1 to 2.4) days
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SI correlation with CT Muscle mass measurement
SI = (serum creatinine/serum cystatin C) x 100
Muscle surface area (MSA; n=105) and SI
Sarcopenia index = 65 Sarcopenia index = 440,0
0,2
0,4
0,6
0,8
1,0
1,2
1,4
50 100 150 200 250
Muscle surface area (cm2)
Sarc
openia
index
r = 0.62
P<0.0001
Kashani et al: Crit Care Med, 2016
©2013 MFMER | 3322132-51
ICU mortality Hospital
mortality
90-d mortality
Nutritional indicator AUC (p) AUC (p) AUC (p)
Sarcopenia index 0.63 (0.1) 0.67 (0.0007) 0.7 (<0.0001)
Body mass index 0.63 (0.2) 0.56 (0.3) 0.58 (0.1)
Para-spinal muscle
surface area (cm2)
0.72 (0.2) 0.79 (0.01) 0.79 (0.002)
Admission serum creatinine 0.5 (0.9) 0.59 (0.09) 0.53 (0.5)
NUTrition Risk In the
Critically ill score (NUTRIC)
0.67 (0.06) 0.67 (0.006) 0.72 (<0.001)
Kashani et al: Crit Care Med, 2016
©2013 MFMER | 3322132-52
Clinical model without SI Clinical models with SI
ICU mortality
Variable OR 95% CI P OR 95% CI P
APACHE III 0.96 0.94-0.98 0.0008 0.96 0.947-0.98 0.0009
SI 1.02 0.99-1.06 NS
C-stat (95% CI 0.72 (0.65-0.77) 0.74 (0.68-0.8)
Kashani et al: Crit Care Med, 2016
Hospital mortality
Variable OR 95% CI P OR 95% CI P
APACHE III 0.97 0.95-0.99 0.0003 0.97 0.95-0.99 0.0003
SI 1.04 1.02-1.07 0.001
C-stat (95% CI 0.70 (0.63-0.76) 0.75 (0.69-0.81)
90-d mortality
OR 95% CI P OR 95% CI P
Age 0.97 0.94-0.99 0.01 0.97 0.94-0.99 0.046
APACHE III 0.97 0.95-0.99 0.0002 0.97 0.95-0.98 0.0001
SI 1.05 1.03-1.08 <0.0001
C-stat (95% CI 0.77 (0.7-0.82) 0.8 (0.74-0.85)
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Sarcopenia Index
Odds ratio Lower 95% Upper 95% P
Age 0.97 0.94 0.99 0.05
Body mass index 1.02 0.99 1.1 0.2
Sarcopenia index 1.05 1.03 1.1 0.001
APACHE III 0.97 0.95 0.98 0.0004
Kashani et al: Crit Care Med, 2016
• Critically ill patients
• Mayo Clinic Hospital, Rochester ICU
• October 2008- December 2010
Prediction of 90 day mortality
0,0
0,2
0,4
0,6
0,8
1,0
0,0 0,2 0,4 0,6 0,8 1,0
1-specificity false positive
Tu
re p
ositiv
e s
en
sitiv
ity
ROC-AUC = 0.81
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SI correlation with length of Mechanical ventilation
• Patients on mechanical ventilator N= 131
• Duration of mechanical ventilation predicted by sarcopenia index
• –1 d for each 10 unit of sarcopenia index
• 95% CI –1.4 to –0.2; p = 0.006
Sarcopenia index = 65 Sarcopenia index = 44
Kashani et al: Crit Care Med, 2016
MV length 2 days shorter
©2013 MFMER | 3322132-55
50
100
150
200
250
300
60 70 80 90 100 110 120 130 140
Pre-Lung Transplant Cohort (n=40)
Sarcopenia index
L2L3 a
rea
r2 = 0.2
p = .03
©2013 MFMER | 3322132-56
Summary
• Creatinine as a marker of kidney function has several limitations
• Knowing these limitations allows its appropriate use
• Heart failure
• Liver disease
• Low admission serum creatinine is as impactful in clinical outcomes as high admission Scr
• Sarcopenia Index could be utilized at bedside to estimate muscle mass/nutritional status
©2013 MFMER | 3322132-57