| Title | Telithromycin for the treatment of acute bacterial maxillary sinusitis: a review of a new antibacterial agent. | | Author(s) | Tellier G, Brunton SA, Nusrat R | | Institution | Zoom International Clinical Research Group, St. Jerome, Quebec, Canada. gtellier@zoominternational.ca | | Source | South Med J 2005 Sep; 98(9):863-8. | | MeSH | Acute Disease
Adolescent
Adult
Aged
Amoxicillin-Potassium Clavulanate Combination
Anti-Bacterial Agents
Cefuroxime
Double-Blind Method
Drug Administration Schedule
Female
Haemophilus influenzae
Humans
Ketolides
Male
Maxillary Sinusitis
Middle Aged
Moraxella (Branhamella) catarrhalis
Prospective Studies
Randomized Controlled Trials
Research Support, Non-U.S. Gov't
Staphylococcus aureus
Streptococcus pneumoniae
| | Abstract | OBJECTIVE: Telithromycin, the first approved ketolide antibiotic, was developed to treat community-acquired respiratory tract infections, including acute bacterial maxillary sinusitis (ABMS). A previously published study showed that a 5-day course of 800 mg telithromycin once daily is as effective as a 10-day course in the treatment of ABMS.
MATERIALS AND METHODS: Data were pooled from two controlled, multinational, prospective, randomized, double-blinded ABMS trials comparing 5-day telithromycin (800 mg once daily) with 10-day amoxicillin-clavulanate (500/125 mg 3 times daily) and cefuroxime axetil (250 mg twice daily). Clinical cure and bacteriologic eradication rates were compared by means of descriptive statistics.
RESULTS: The clinical cure rate for telithromycin was 80.9% versus 77.4% for comparators; bacteriologic eradication rate for telithromycin was 84.9% versus 81.7% for comparators. Most adverse events were mild to moderate in intensity and, most commonly, gastrointestinal in nature.
CONCLUSIONS: These results support the conclusion that 5 days of treatment with telithromycin is as safe and effective in patients with ABMS as a 10-day course of treatment with amoxicillin-clavulanate or cefuroxime axetil. | | Language | eng | | Pub Type(s) | Journal Article
Meta-Analysis
| | PubMed ID | 16217977 |
|
