Description

Hathaway et al developed an index to identify renal transplant patients at risk for development of new onset diabetes mellitus following the transplant. Development of diabetes mellitus is a significant complication of the transplant that can affect quality of life, rehabilitation and infection risk. A high risk for developing new onset diabetes could affect the choice of immunosuppression regimen used. The authors are from the University of Memphis in Tennessee.


 

Patient characteristics:

(1) transplanted from 1984 to 1990

(2) single organ kidney transplants

(3) negative for diabetes mellitus prior to transplant

(4) followed at least 18 months after transplant to identify late onset cases

 

Parameters in the index as identified by logistic regression:

(1) age in years

(2) family history of diabetes mellitus

(3) glucose instability (intolerance) on days 4 to 7 post-transplant (serum glucose > 140 mg/dL)

(4) presence of HLA A26

Parameter

Finding

Points

age of the patient in years

 

(age)

family history of diabetes mellitus

no

0

 

yes

1

glucose instability on day 4-7

no

0

 

yes

1

presence of HLA A26

no

0

 

yes

1

 

 

Parameter

Odds Ratio

95% CI

p value

age

1.0928

1.0476-1.1399

0.0001

family history

4.4396

1.8571-10.6136

0.0008

glucose instability

3.9772

1.4244-11.1047

0.0084

HLA A26

6.2069

1.2012-32.0728

0.0293

from Table 3, page 335

 

index =

= (0.0887 * (age in years)) + (1.4906 * (points for family history)) + (1.3806 * (points for glucose instability)) + (1.8257 * (points for HLA A26)) – 7.3571

 

Although I could not find this specifically stated in the paper, I assume that the index was used in the probability equation:

 

probability of new onset diabetes mellitus =

= 1 / (1 + EXP((-1) * (index)))

 

Performance (Table 4, page 336):

• sensitivity 96%, specificity 71.9%

• positive predictive value 42.4%, negative predictive value 98.9%

• diagnostic efficiency: 76%

 


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