tigecycline and Bacterial-Infections

Patients with intra-abdominal infections differ with regard to the type of infection and the severity of illness. However, the impact of these factors, together with differences in drug exposure, on clinical response is not well understood. Using phase 2 and 3 data for patients with complicated intra-abdominal infections, the relative importance of tigecycline exposure, host factors, and disease factors, alone or in combination, for the probability of clinical response was examined. Patients with complicated intra-abdominal infections who received tigecycline intravenously as a 100-mg loading dose followed by 50 mg every 12 h for 5 to 14 days and who had adequate clinical, pharmacokinetic, and response data were evaluated. Multivariable logistic regression was used to identify factors associated with clinical response. A final multivariable logistic regression model demonstrated six factors based on 123 patients to be predictive of clinical success: a weight of <94 kg (P = 0.026), the absence of Pseudomonas aeruginosa in baseline cultures (P = 0.021), an APACHE II score of <13 (P = 0.029), non-Hispanic race (P = 0.005), complicated appendicitis or cholecystitis (P = 0.004), and a ratio of the area under the concentration-time curve (AUC) to the MIC (AUC/MIC ratio) of > or =3.1 (P = 0.003). The average model-predicted probability of clinical success when one unfavorable factor was present was 0.940. This probability was lower (0.855) when the AUC/MIC ratio was < 3.1 and the remaining five factors were set to the favorable condition. The average model-predicted probability of clinical success in the presence of two unfavorable factors was 0.594. These findings demonstrated the impact of individual and multiple factors on clinical response in the context of drug exposure.

Topics: Abdominal Cavity; Adolescent; Adult; Aged; Aged, 80 and over; Anti-Bacterial Agents; Area Under Curve; Bacteria, Anaerobic; Bacterial Infections; Enterobacteriaceae; Enterobacteriaceae Infections; Female; Humans; Male; Microbial Sensitivity Tests; Middle Aged; Minocycline; Predictive Value of Tests; Tigecycline; Treatment Outcome; Young Adult

In concert with the development of novel beta-lactams and broad-spectrum cephalosporins, bacterially encoded beta-lactamases have evolved to accommodate the new agents. This study was designed to identify, at the sequence level, the genes responsible for the extended-spectrum-beta-lactamase (ESBL) phenotypes of Escherichia coli, Klebsiella pneumoniae, and Proteus mirabilis isolates collected during the global tigecycline phase 3 clinical trials. PCR assays were developed to identify and clone the bla(TEM), bla(SHV), bla(OXA), and bla(CTX) genes from clinical strains. Isolates were also screened for AmpC genes of the bla(CMY), bla(ACT), bla(FOX), and bla(DHA) families as well as the bla(KPC) genes encoding class A carbapenemases. E. coli, K. pneumoniae, and P. mirabilis isolates with ceftazidime MICs of > or =2 microg/ml were designated possible ESBL-producing pathogens and were then subjected to a confirmatory test for ESBLs by use of Etest. Of 272 unique patient isolates, 239 were confirmed by PCR and sequencing to carry the genes for at least one ESBL, with 44% of the positive isolates harboring the genes for multiple ESBLs. In agreement with current trends for ESBL distribution, bla(CTX-M)-type beta-lactamase genes were found in 83% and 71% of the ESBL-positive E. coli and K. pneumoniae isolates, respectively, whereas bla(SHV) genes were found in 41% and 28% of the ESBL-positive K. pneumoniae and E. coli isolates, respectively. Ninety-seven percent of the E. coli and K. pneumoniae isolates were tigecycline susceptible (MIC(90) = 2 microg/ml), warranting further studies to define the therapeutic utility of tigecycline against strains producing ESBLs in a clinical setting.

Topics: Anti-Bacterial Agents; Bacterial Infections; beta-Lactamases; Clinical Trials, Phase III as Topic; DNA Primers; Drug Resistance, Bacterial; Escherichia coli; Humans; Isoelectric Focusing; Klebsiella pneumoniae; Microbial Sensitivity Tests; Minocycline; Proteus mirabilis; Reverse Transcriptase Polymerase Chain Reaction; Tigecycline