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PK modeling of vancomycin
Vancomycin pharmacokinetics vary widely between patients.
"Compared with aminoglycosides, the variability in the distribution volume of vancomycin
is extreme. Published inter-patient variability has been reported as 0.26 to 1.30 L/kg,
0.21 to 1.51 L/kg, 0.2 to 1.3 L/kg, and 0.37 to 1.40 L/kg in a series of studies.
The average Vd also varies widely in the literature, with early reports suggesting a value
of 0.9 L/kg and more recent studies indicating a smaller Vd of 0.5 L/kg.
There does not appear to be any readily identifiable clinical characteristic to explain this
variability. Unlike the aminoglycosides where one can often predict a larger or smaller than
average Vd based on fluid status, variability in vancomycin Vd appears to be completely unpredictable."22
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Comparing Vancomycin Pharmacokinetic Models
The following table summarizes several vancomycin one-compartment models, collected from the published
literature and from colleagues.
Table 1. Vancomycin One-compartment Model Parameters
Source
| Elimination rate/Clearance
| Volume of distribution
|
Ambrose (2001)
| CL ml/min = CrCl
| (0.17 [age in years]) + (0.22 [ABW in kg]) + 15
|
Bauer (1982)
| CL ml/min/kg = 0.05 + (CrClml/min/kg x 0.695)
| 0.47 L/kg
|
Birt (1990)
| Kel = 0.0726 + (CrCl x 0.000545)
| 0.54 L/kg
|
Burton (1989)
| CL ml/min = 0.04 + (CrCl x 0.0075)
| 0.47 L/kg
|
Burton revised (1991)
| CL L/hr = CrCl x 0.048
| 0.706 L/kg
|
Matzke (1985)
| CL ml/min = 3.66 + (CrCl x 0.689)
| 0.72 L/kg if CrCl is >60 mL/min
0.89 L/kg if CrCl is 10 to 60 mL/min
0.90 L/kg if CrCl is <10 mL/min.
|
Matzke variation (1991)
| Kel = 0.009 + (CrCl x 0.0022)
| 0.90 L/kg
|
Moellering (1981)
| Kel = 0.074 + [CrClml/min/kg x 0.08]
| 0.90 L/kg
|
Rodvold (1988)
| CL ml/min = 15.7 + (CrCl x 0.79)
| 0.50 L/kg if CrCl is >70 mL/min/70 kg
0.59 L/kg if CrCl is 4070 mL/min/70 kg
0.64 L/kg if CrCl is 1039 mL/min/70 kg
|
Abbott (1992)
| CL L/hr = 0.05 + (CrCl x 0.75)
| 0.65 L/kg
|
Creighton (1992)
| Kel = 0.0044 + (CrCl x 0.00083)
| 0.70 L/kg
|
VA (1992)
| CL ml/min = CrCl x 0.9
| 0.70 L/kg
|
Winter (1994)
| CL L/hr = CrCl x 0.065
| 0.7 L/kg
|
The following table summarizes several vancomycin two-compartment models, collected from the published literature.
Table 2. Vancomycin Two-compartment Model Parameters
Source
| CL
| Vp
| Vc
| k21 hr-1
| k12 hr-1
| Q (L/hr)
|
Uaamnuichai (1987)
| (CrCl x 0.0075) + 0.04
|
|
|
|
|
|
Rodvelt (1989)
| (CrCl x 0.75) + 0.05
| 0.65 L/kg
| 0.21 L/kg
| 0.48
| 1.12
|
|
Burton (1991)
| CrCl x 0.048
| 0.77 L/kg
|
|
|
|
|
Ito (1993)
| [(CrCl x 0.72) + 3.5] x 0.06
| 0.74 L/kg TBW
| 0.12 L/kg TBW
| 0.41
| 1.12
|
|
Fernandez (1996)
| (CrCl x 0.75) + 0.05
| 0.82 L/kg
| 0.21 L/kg
| 0.48
| 1.12
|
|
Teramachi. (2002)
|
| 60.7 L
|
| 0.213
| 0.525
|
|
Llopis-Salvia (2006)
| (CrCl x 0.034) + 0.015
| 1.32 L/kg
| 0.41 L/kg
|
|
| 7.48
|
Thomson (2009)
| 2.0 x [1 + 0.015 x (CrCl - 66)]
| 0.68 L/kg
| 0.732 L/kg
|
|
| 2.28
|
Yamamoto (2009)
| (CrCl x 0.032) + 0.32
| 0.48 L/kg
| 8.81 L
|
|
| 60.6
|
Sanchez (2010)
| (CrCl x 0.563) + 0.157
| 0.283 L/kg
| 32.2 x (Age/53.5)
|
|
| 0.111
|
Purwonugroho (2012)
| CrCl x 0.44
| 0.542 x Age
| 44.2 L
|
|
| 6.95
|
Medellin-Garibay (2016)
| CrCl x 0.49
| 0.74 L/kg
| 5.86 L/kg
|
|
| 0.81
|
Vancomycin Dosing Nomograms
Below is a summary of older vancomycin dosing nomograms
which were designed to achieve target troughs of 10 mcg/ml.
Table 3. Vancomycin Dosing Nomograms
Source
| Dose
| Interval
|
Package insert
| 500mg
| Q 6 hrs
|
1g
| Q 12 hrs
|
Lake & Peterson (1985)
| 8 mg/kg
|
CrCl
|
Interval
|
90 and above
|
6 hrs
|
70 to 89
|
8 hrs
|
46 to 69
|
12 hrs
|
30 to 45
|
16 hrs
|
15 to 29
|
24 hrs
|
|
Matzke (1985)
| LD = 25 mg/kg MD = 19 mg/kg
| Figure 2. Matzke Vancomycin Dosing
|
Moellering (1981)
| Figure 3. Moellering Vancomycin Dosing
|
Nielsen (1975)
| LD = 25 mg/kg MD = [(15 x CrCl) + 150] mg/day
| Not specified
|
Rotschafer (1982)
| 6.5-8 mg/kg
| Q 6-12 hrs
|
In 2016 Elyasi and Khalili compared fourteen published nomograms which target higher trough
levels (15-20 mcg/ml).35 Some of the more interesting nomograms from this review are:
Figure 4. Kullar nomogram (2011)
Figure 5. Lima nomogram (2014)
Figure 6. Golenia nomogram (2013)
Figure 7. Saugel continuous infusion nomogram (2013)
Conclusion
In 2006 Murphy, et al published an evaluation of the accuracy of seven popular vancomycin dosing methods.
The methods were ranked by least bias or greatest precision. The Burton method using an adjusted
body weight was ranked number one. Matzke's method using actual (total) body weight was ranked second.
Murphy and colleagues concluded "The seven methods studied for estimating vancomycin pharmacokinetic parameters
varied widely in predicting vancomycin trough concentrations compared with measured serum concentrations
and were not sufficiently reliable to replace therapeutic monitoring of vancomycin serum concentrations."21
In their review of newer dosing nomograms, Elyasi and Khalili concluded that "the percentage of target level
achievement has been between 40 and 70% in most of cases, which is not ideal, and thus it seems necessary
to continue development of more accurate nomograms for vancomycin dosing."35
One take-away from this conflicting data is, use the model that's best for your
patient population. Don't rely on someone else's model to dose your patients. If you treat a
diverse patient population, you may need multiple vancomycin models. This is where the population
analysis utility included with Kinetics© and APK© will help you to create models
fitted to your patient population.
Population models of vancomycin can not be relied upon to accurately predict individual patient pk parameters.
Vancomycin has both a highly variable Vd and an unpredictable Nonrenal clearance component. Therefore,
initial pharmacokinetic predictions should be viewed as rough estimates of dosage requirements. Experienced
clinicians suggest a weight-based nomogram for estimating initial dosage needs, with subsequent
pharmacokinetic analysis of serum level data, as the best common sense strategy for dosing vancomycin.
Click here to read an interesting vancomycin case.
References
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European Journal of Clinical Pharmacology
July 2016, Volume 72, Issue 7, pp 777-788
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