Clinical experience in the management of community-acquired pneumonia: lessons from the use of fluoroquinolones
Abstract
Community-acquired pneumonia (CAP) remains a major cause of morbidity and mortality worldwide. The treatment of CAP has been complicated by several factors, including the expanding spectrum of causative organisms and the rising prevalence of antibiotic resistance among respiratory pathogens. Initial antimicrobial treatment for patients with CAP is usually selected empirically and should provide appropriate coverage against the most common causative organisms, including resistant strains. Respiratory fluoroquinolones, such as levofloxacin, are the only antimicrobials that are highly active against the pathogens most frequently implicated in CAP, including macrolide-resistant and penicillin-resistant pneumococci, Haemophilus influenzae, Legionella spp., and atypical agents. This paper reviews recent studies involving adult patients with CAP that suggest that levofloxacin, as compared with other conventional antibiotic treatments, may be associated with better clinical outcomes.
Read the paper
Related studies
- Severe clinical outcomes of COVID-19 associated with proton pump inhibitors: a nationwide cohort study with propensity score matching
- Levofloxacin-Induced Tendon Rupture: A Case Report and Review of the Literature
- Association between cord blood 25-hydroxyvitamin D concentrations and respiratory tract infections in the first 6 months of age in a Korean population: a birth cohort study (COCOA)
- Neuroprotective Effects of Epicatechin against Oxidative Stress-Induced Cognitive Impairment: A Systematic Review and Meta-Analysis
- Quality evaluation and in vitro interaction studies between levofloxacin 250mg and diclofenac sodium 50mg tablets
- Molecular Epidemiology of mcr-1 -Positive Polymyxin B-Resistant Escherichia coli Producing Extended-Spectrum β-Lactamase (ESBL) in a Tertiary Hospital in Shandong, China
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.