Treatment outcomes in acute exacerbations of chronic bronchitis: comparison of macrolides and moxifloxacin from the patient perspective
Abstract
Moxifloxacin, a new respiratory quinolone, was compared with the macrolides azithromycin, clarithromycin and roxithromycin in a cohort study to assess clinical, safety and health-related outcomes of these antimicrobials in general practice settings. In total 332 patients with acute exacerbations of chronic bronchitis (AECB) each received one of the antimicrobial agents for a standard short course of therapy. Random allocation of therapeutic agents occurred by centre, not individuals, and the drugs were prescribed in an open manner. In addition to clinical evaluation by their physicians, all patients kept daily diaries to assess AECB symptoms over the study period, therapy received and quality of life. The overall clinical response rate was 96% and all four regimens were well tolerated. After 14 days there were no significant differences between the study groups, but analyses of patients' daily evaluations of certain AECB specific symptoms showed a faster response rate in the moxifloxacin group.
How strong is the evidence?
Evidence Hub reads this as a clinical trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 332 participants or records.
Read the paper
Related studies
- Impact of antibiotics on the human microbiome and consequences for host health
- Antibiotics in the clinical pipeline in October 2019
- The incidence of collagen-associated adverse events in pediatric population with the use of fluoroquinolones: a nationwide cohort study in Taiwan
- Research Communications of the 32nd ECVIM-CA Online Congress
- Singlet-Oxygen Therapy. Scientific And Methodological Materials
- Artificial Intelligence in Pharmacovigilance
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.