Antibiotic resistance is the inevitable consequence of the selective pressu
re of antimicrobial drug use and the adaptive plasticity of the microorgani
sms. Excessive and irrational use of antimicrobial drugs is a problem in al
l countries. It is particularly troublesome in developing countries where t
here is a heavy burden of infectious diseases. This study was designed to d
etermine whether detection of antimicrobial activity in the urine might be
a useful tool for epidemiologic studies of the interaction between antibiot
ic use and resistance in developing countries. A laboratory marker is neces
sary because the history of antimicrobial drug use may be unreliable. Seria
l specimens or spontaneously voided urine were obtained from healthy volunt
eers given a single oral dose of commonly used antimicrobial drugs. Urine w
as also obtained from hospitalized patients the morning after the last dose
of an antimicrobial drug and from untreated controls. Assays were performe
d with standard American Type Culture Collection (Rockville, MD) stains of
Bacillus stearothermophilus, Escherichia coli, and Streptococcus pyogenes.
Antimicrobial activity could not be detected in pretreatment urine. After a
single oral dose, the beta lactam antibiotics and erythromycin could be de
tected for about 12 to 24 hours, whereas clindamycin, tetracycline, trimeth
oprim/sulfamethoxazole, and ciprofloxacin could be detected for 48 or more
hours. In hospitalized patients, receiving multiple drugs, the following we
re the sensitivity and specificity for detection of antimicrobial activity:
for B. stearothermophilus, 100.0% and 85.9%, respectively; for S. pyogenes
, 94.9% and 94.9%, respectively; and for E. coli, 71.8% and 98.7%, respecti
vely. The combination of E. coli and Streptococcus pyogenes exhibited a sen
sitivity of 97.4% and specificity of 94.9%. Detection of antimicrobial acti
vity in urine is a promising method to determine antimicrobial drug use in
epidemiologic studies, particularly in populations in which drug use histor
y is unreliable. (C) 1999 Elsevier Science Inc.