Comparison between antigenemia and a quantitative-competitive polymerase chain reaction for the diagnosis of cytomegalovirus infection after heart transplantation
Lfa. Camargo et al., Comparison between antigenemia and a quantitative-competitive polymerase chain reaction for the diagnosis of cytomegalovirus infection after heart transplantation, TRANSPLANT, 71(3), 2001, pp. 412-417
Background Antigenemia and quantitative polymerase chain reaction (PCR) are
widely used for cytomegalovirus (CMV) diagnosis after heart transplantatio
n due to their enhanced, predictive values for disease detection when speci
fic cut-off Values are used. The purpose of this study was to compare, in t
he same patient setting, the predictive values of quantitative PCR and anti
genemia for GMV disease detection, using specific cut-off values.
Methods. Thirty heart transplant receptors were prospectively monitored for
active CMV infection and disease detection, using quantitative PCR and ant
i-genemia, Positive and negative predictive values for CMV disease detectio
n were calculated using cut-off values for both antigenemia (5 and 10 posit
ive cells/ 300,000 neutrophils) and quantitative-PCR (50,000 and 100,000 co
pies/10(6) leukocytes).
Results, Active CMV infection was diagnosed in 93.3% of patients and CMV di
sease in 23.3%, The positive and negative predictive (%) values for CMV dis
ease detection were 35/100 and 46.7/100, respectively, for quantitative PCR
and antigenemia. Using 5 and 10 positive cells/300,000 neutrophils as cut-
off values for antigenemia, the positive and negative predictive values (%)
for disease detection were respectively 63.6/100 and 70/100, For quantitat
ive PCR, the positive and negative predictive values (%) for cut-off values
of 50,000 and 100,000 copies/10(6) leukocytes were 53.8/100 and 60/94.1, r
espectively.
Conclusion. in our series, antigenemia and quantitative-PCR had enhanced an
d similar predictive values for CMV disease detection when specific cut-off
values were used. The choice between these two methods for disease detecti
on may rely less on their efficiency and more on the experience and familia
rity with them.