Lm. Koran et al., PREDICTING RESPONSE TO FLUOXETINE IN GERIATRIC-PATIENTS WITH MAJOR DEPRESSION, Journal of clinical psychopharmacology, 15(6), 1995, pp. 421-427
No consensus exists regarding whether early response to an antidepress
ant strongly predicts a good outcome, what is the criterion for early
response, or when to measure it. We hypothesized that early response (
greater than or equal to 20% decrease in HAM-D-21) after any of weeks
1, 2, or 3 of fluoxetine treatment of major depression in geriatric ou
tpatients would predict a favorable outcome by week 6 or an earlier en
dpoint accurately enough for clinical use. We also hypothesized that t
he meek 1, 2, an 3 percent changes in 21-item Hamilton Rating Scale fo
r Depression (HAM-D-21) would predict the percent change at week 6 (or
endpoint) accurately enough for clinical use. We enrolled 671 elderly
outpatients with unipolar DSM-III-R major depression in a double-blin
d, placebo-controlled trial of fluoxetine, 20 mg/day. For analysis, fl
uoxetine-treated patients were randomly divided into a development set
(N = 154) for a preliminary test of our criteria and a validation set
(N = 181) to validate the development data set's results. Early respo
nders gt weeks 1, 2, and 3 were statistically significantly more likel
y to experience marked improvement or remission than those lacking ear
ly response. However, at week 3, this criterion correctly classified o
nly about three-fourths of patients with regard to marked improvement
and only about two-thirds with regard to remission. Moreover, about on
e-third of patients predicted to experience marked improvement and abo
ut three-fifths of those predicted to remit did not. The continuous va
riable, percent change in HAM-D-21, did not produce predictive results
of any greater clinical utility. We believe that the sensitivity, spe
cificity, false-positive rate, false-negative rate, and kappa of outco
me predictions all should be reported in future studies. Without a ful
l set of descriptive statistics, clinicians can be misled by statistic
ally significant results.