Comparative Efficacy of Kanamycin, Enrofloxacin, Moxifloxacin and Cefoperazone for the Treatment of Pneumonia in Buffaloes
Abstract
A study was conducted to evaluate the comparative efficacy of kanamycin, enrofloxacin, moxifloxacin and cefoperazone to treat pneumonia in buffaloes. During study period, a total of 28 buffaloes brought to VCC, LUVAS, Hisar with the history of fever, anorexia, nasal discharge, coughing and dyspnoea. Clinical examination revealed abnormal lung sounds during auscultation. All the buffaloes diagnosed with pneumonia were randomly divided into four equal groups viz. group I, II, III and IV. Animals of group I were treated with kanamycin @ 7.0 mg/kg b.wt., i/m, b.i.d., group II with enrofloxacin @ 5 mg/kg b.wt., i/m, o.d., group III with moxifloxacin @ 5 mg/kg b.wt., i/m, o.d. and group IV with cefoperazone@ 20 mg/kg b.wt., i/m, o.d., along with supportive therapy for 5 days. Clinical recovery was determined on the basis of remittance of clinical signs. The highest and earliest recovery was found in group II animals.
Read the paper
Related studies
- Structural and topological analysis of thiosemicarbazone-based metal complexes: computational and experimental study of bacterial biofilm inhibition and antioxidant activity
- Toward better cures for Mycobacterium abscessus lung disease
- Challenges for global antibiotic regimen planning and establishing antimicrobial resistance targets: implications for the WHO Essential Medicines List and AWaRe antibiotic book dosing
- Design, Synthesis and In vitro Antitubercular Effect of New Chalcone Derivatives Coupled with 1,2,3‐Triazoles: A Computational Docking Techniques
- Upregulation of pmrA, pmrB, pmrC, phoQ, phoP, and arnT genes contributing to resistance to colistin in superbug Klebsiella pneumoniae isolates from human clinical samples in Tehran, Iran
- Whole-genome sequencing of clinical isolates of Citrobacter Europaeus in China carrying blaOXA−48 and blaNDM−1
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.