Description

Moore et al developed discriminant equations in 1984 that can be used to predict the risk of nephrotoxicity in patients treated with aminoglycosides. The authors were from the Johns Hopkins Hospital in Baltimore.


Aminoglycosides available at the time of the study: gentamicin and tobramycin

 

Nephrotoxicity was defined as a decrease in creatinine clearance by 50% or more.

 

Factors Known Prior to Starting Aminoglycoside Therapy

Finding

Points

age in years

 

(age in years)

liver disease

absent

0

 

present

1

initial creatinine clearance in mL/min

 

(mL/min)

sex

male

0

 

female

1

after Table 2, page 354

 

discriminant score prior to therapy =

= (0.049 * (age in years)) + (1.872 * (points for liver disease))  + (0.025 * (points for creatinine clearance))+ (1.102 * (points for sex)) – 5.098

 

where:

• I did not see where the discriminant score based on pretreatment data was used to predict nephrotoxicity.

 

Factors Known by 72 Hours of Therapy with Aminoglycosides

Finding

Points

initial 1 hour post-dose level (peak) in µg/mL

 

(level in µg/mL)

liver disease

absent

0

 

present

1

age in years

 

(age in years)

initial creatinine clearance in mL/min

 

(mL/min)

sex

male

0

 

female

1

shock

absent

0

 

present

1

after Table 2, page 354

 

discriminant score for 72 hours =

= (0.333 * (drug level points)) + (1.312 * (liver points)) + (0.032 * (age in years)) + (0.016 * (points for creatinine clearance)) + (0.739 * (points for sex)) + (0.897 * (points for shock)) – 5.357

 

where:

• I would think this data would be known sooner than 72 hours after therapy was started. It may be that drug assays had a longer turnaround time in 1984, especially if microbial growth inhibition assays were used.

 

Discriminant Score at 72 Hours

Risk of Nephrotoxicity

< -2.0

< 0.8%

-2.0

0.8%

-1.5

1.2%

-1.0

2.7%

-0.5

5.8%

0

11.2%

0.5

21.5%

1.0

33.5%

1.5

51.5%

2.0

65.3%

2.5

77.7%

3.0

85.4%

3.5

91.5%

4.0

95.4%

> 4.0

> 95.5%

after Figure 1, page 355

 

If this data is analyzed in JMP, the following equations can be derived:

 

risk over range of –2.0 to 0.5 =

= (1.562963 * ((score)^3)) + (8.1666667 * ((score)^2)) + (15.444974 * (score)) + 11.45873

 

risk over range of  0.5 to 1.5 =

= (12 * ((score)^2)) + (6 * (score)) + 15.5

 

risk over range of 1.5 to 4.0 =

= (0.3925926 * ((score)^3)) - (8.574603 * ((score)^2)) + (55.232011 * (score)) – 13.51667

 

A nomogram for calculating the risk is shown in Figure 3 on page 356,

 

Limitations:

• The data does not apply to patients treated with amikacin or netilimicin.

• The risk for nephrotoxicity increases with the creatinine clearance. I would have thought the reverse would be true.


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