Wp. Mckinney et al., VALIDATION OF A CLINICAL-PREDICTION RULE FOR THE DIFFERENTIAL-DIAGNOSIS OF ACUTE MENINGITIS, Journal of general internal medicine, 9(1), 1994, pp. 8-12
Objective: To attempt to validate a previously reported clinical predi
ction rule derived to assist in distinguishing between acute bacterial
meningitis and acute viral meningitis. Design: Retrospective chart re
view of patients treated at five hospitals between 1981 and 1990. The
criterion standard for bacterial meningitis was a positive cerebrospin
al fluid (CSF) or blood culture or a positive test for bacterial antig
en in the CSF. For viral meningitis, the criterion standard was a posi
tive viral culture from CSF, stool, or blood or a discharge diagnosis
of viral meningitis with no other etiology evident. Setting: Two Depar
tment of veterans affairs (VA) hospitals, two county hospitals, and on
e private hospital, each affiliated with one of two medical schools. P
atients: all persons aged more than 17 years who were hospitalized ove
r a ten-year period at one of five academically affiliated hospitals f
or the management of acute meningitis. Measurements and main results:
Sixty-two cases of bacterial meningitis and 98 cases of viral meningit
is were confirmed. With all patients included, the discriminatory powe
r of the model as measured by the area under the receiver operating ch
aracteristic curve (AUC) was 0.977 (95% CI, 0.957-0.997), compared wit
h the AUC of 0.97 in the derivation set of the original publication. T
he AUCs (95% CIs) for data subsets were: Dallas cases 0.994 (0.986-1.0
), Milwaukee cases 0.912 (0.834-0.990); ages 18-39 years 0.952 (0.892-
1.0), ages 40-59 years 0.99 (0.951-1.0), and age greater than or equal
to 6O years 0.955 (0.898-1.0). Conclusions: The authors conclude that
the clinical prediction rule proved robust when applied to a geograph
ically distinct population comprised exclusively of adults. There was
sustained performance of the model when applied to cases from each cit
y and from three age strata. Prospective validation of this prediction
rule be necessary confirm its utility in clinical practice.