Fecal peritonitis in aging rat model. Therapeutic response to different antibiotic strategies
AUTOR(ES)
Mascena, Guilherme Veras, Figueiredo Filho, Carlos Alberto, Lima Júnior, Marcos Antônio Xavier de, Oliveira, Thárcia Kiara Beserra, Gadelha, Diego Nery Benevides, Melo, Maria Cecília Santos Cavalcanti, Brandt, Carlos Teixeira
FONTE
Acta Cir. Bras.
DATA DE PUBLICAÇÃO
2018-05
RESUMO
Abstract Purpose: To evaluate the response of aging rats with sepsis to two different antibiotic regimens. Methods: The study was conducted with 30 aging rats (18 month-old) with autologous feces peritonitis. The animals were divided into three groups: Group 0 received no therapeutic intervention (control), while Group 1 received a single dose of 40 mg/kg meropenem and Group 2 received a single dose of 20 mg/kg moxifloxacin. The intervention in both Groups was made 6 hours after induction of peritonitis. The animals were followed up to 15 days for evaluating morbidity and mortality. The weights at baseline were similar in all groups. Results: At the end of follow-up, weight loss was significantly greater (p=0.0045) in Group 0 (non-intervention controls). Culture from a blood sample at the end of follow-up was positive in all the animals in Group 0, in two animals in Group 1 and in four animals in Group 2. Morbidity/mortality was significantly higher in Group 0 compared to both Groups 1 and 2 (p=0.003) but the scores were not significantly different between Groups 1 and 2 (p=0.6967). Conclusion: Both antibiotic regimens rendered promising results for the treatment of fecal peritonitis.
Documentos Relacionados
- Therapeutic efficacy of cefadroxil and cephalexin for pneumonia in a rat test model.
- Effect of diethyldithiocarbamate rescue on tumor response to cis-platinum in a rat model.
- Severe autogenously fecal peritonitis in ageing Wistar rats. Response to intravenous meropenem
- Injurious ventilatory strategies increase cytokines and c-fos m-RNA expression in an isolated rat lung model.
- Pentoxifylline in amphotericin B toxicity rat model.