Tonsillitis Clinical Trial
Official title:
Frequency, Pathogen Spectrum and Specific Immune Response in Acute Pharyngotonsillitis in Children and Adolescents
Acute pharyngotonsillitis is one of the most common infections encountered by pediatricians.
Most children with acute pharyngotonsillitis have symptoms that can be attributed to viral
infection. However 30-40% of cases is of bacterial etiology.
The purpose of this study is to examine frequency, age distribution, clinical picture and
pathogen distribution in acute pharyngotonsillitis in children in a large urban setting.
According to the US Vital Health Statistics report, acute pharyngotonsillitis is responsible
for more than 6 million office visits each year by children younger than 15 years of age.
Approximately 30% of cases is of bacterial etiology and group A beta-hemolytic
streptococci(GABHS) are responsible for most bacterial cases, although other pathogens, such
as Neisseria gonorrhoeae, Arcanobacterium haemolyticum, Mycoplasma pneumoniae, and Chlamydia
pneumoniae, may be the causative agents in sporadic cases. An accurate diagnosis of GABHS
infection is important because it is the only common form of acute pharyngotonsillitis for
which antibiotic therapy is definitely indicated. Effective antibacterial treatment can
shorten the clinical course of GABHS pharyngotonsillitis, reduce the rate of transmission,
and prevent suppurative and nonsuppurative complications, such as peritonsillar abscess and
acute rheumatic fever.
This study enrolls patients who will present with acute fever and clinical signs of
pharyngotonsillitis at three primary pediatric ambulances. A rapid A beta-hemolytic
streptococcus (GABHS)-detection test will be performed in these patients. In one office,
additional throat cultures are obtained of all patients, and blood is taken in a subgroup of
60 GABHS-positive and 60 GABHS-negative cases. In GABHS-positive patients, a second blood
sample will be obtained at day 7th and day 28th, and stored until specific antibody response
to GABHS will be measured.
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Observational Model: Cohort, Time Perspective: Cross-Sectional
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