BackgroundConjunctivitis, an inflammation of the conjunctiva, is one of the most common eye problems affecting all age groups in Nigeria. A better understanding of its epidemiology and the antibiotic susceptibility of etiologic bacterial agents is crucial for the initiation of preventive and therapeutic measures. This study determined the distribution and patterns of bacterial infections in Nigerian patients with conjunctivitis. Antibiotic resistance patterns and the plasmid profiles of these pathogens were also investigated.MethodologyA total of 83 consecutive and non-duplicate conjunctival specimens were collected from patients attending eye clinics at three different hospitals in Lagos, Nigeria, between February and September 2010. Specimens were cultured on standard bacteriologic media and the recovered isolates speciated using standard techniques. Susceptibility of pathogens to antibiotics and plasmid DNA extraction were carried out by disk diffusion and alkaline lysis methods. Conjugation experiment was done with rifampicin-resistant Escherichia coli DH5α as the recipient cell. Data were analyzed using the chi-square test.ResultsAll the specimens were culture-positive, yielding a total of 155 bacterial isolates. Gram-positive cocci comprising Staphylococcus aureus (27.7%) and coagulase-negative Staphylococcus sp. (22.6%) accounted for 50.3% (78 of 155) of conjunctivitis cases, followed by Gram-positive bacilli (22.6%), Gram-negative bacilli (21.3%), and Gram-negative cocci (4.5%). Corynebacterium spp. were the most commonly isolated Gram-positive bacilli accounting for 16.1% of conjunctivitis cases. Pseudomonas aeruginosa topped with 9.7% as the most commonly isolated Gram-negative bacilli. Other Gram-negative bacilli in order of their isolations were E. coli (6.5%), Proteus sp. (3.2%), Klebsiella sp. (1.9%), and Enterobacter aerogenes (1.9%). Moraxella spp. were the only Gram-negative cocci isolated, and they accounted for 4.5% of the total conjunctival infections. Further analysis of the complexity of infections showed that 25 specimens elicited mono-infections, while cases of polymicrobial infections caused by two pathogens and three or more pathogens constituted 51.8% and 18.1% of conjunctivitis specimens screened, respectively. The disparity in the percentage contribution of three infection patterns was significant (P < 0.05). Antibiotic susceptibility testing revealed chloramphenicol and ofloxacin as the least and most active antibiotics tested as 99 (63.9%) and 149 (96.1%) of the 155 recovered isolates were sensitive to them. On the whole, the least susceptible pathogen was P. aeruginosa with sensitivities ranging from 20% to 80%, while Moraxella sp. represented the most sensitive pathogen with sensitivities ranging from 71.4% to 100%. Other bacterial isolates also elicited antibiotic sensitivities in the range of 33.3–100%. A total of 101 isolates were screened for plasmids, of which 45 harbored plasmids, yielding a plasmid frequency of 44.6%. Conjugal transfer of resistance to chloramphenicol, ampi...
Foodborne bacteria are often associated with human infections; these infections can become more complicated to treat if the bacteria are also resistant to antimicrobials. In this study, prevalence, antimicrobial resistance, and genetic relatedness of Escherichia coli among food producing animals from Lagos, Nigeria, was investigated. From December 2012 to June 2013, E. coli were isolated from fecal samples of healthy cattle, chicken, and swine. Antimicrobial susceptibility testing against 22 antimicrobials was performed using broth microdilution with the Sensititre™ system. Clonal types were determined by pulsed-field gel electrophoresis (PFGE). From the analysis, 211/238 (88.7%), 170/210 (81%), and 136/152 (89.5%) samples from cattle, chicken, and swine, respectively, were positive for E. coli. A subset of those isolates (n=211) selected based on β-lactamase production was chosen for further study. Overall, E. coli exhibited the highest resistance to tetracycline (124/211; 58.8%), trimethoprim/sulfamethoxazole (84/211; 39.8%), and ampicillin (72/211; 34.1%). Approximately 40% of the isolates were pan-susceptible, and none of the isolates were resistant to amikacin, cefepime, ceftazidime, ertapenem, meropenem, or tigecycline. Among the resistant isolates, 28 different resistance patterns were observed; 26 of those were characterized as multi-drug resistant (MDR; resistance to ≥2 antimicrobials). One isolate was resistant to 13 different antimicrobials representing five different antimicrobial classes. Using PFGE, MDR E. coli were genetically diverse and overall did not group based on source; identical PFGE patterns were detected among isolates from different sources. These results suggest that isolates cannot be attributed to specific sources, and some may be present across all of the sources. Results from this study indicate that food-producing animals in Nigeria are a reservoir of MDR E. coli that may be transferred to humans via the food chain.
Occurrence of different viruses in acute respiratory tract infections of Nigerian children was examined. Respiratory swabs were collected from 246 children referred to hospital clinics because of acute respiratory symptoms from February through May 2009. Validated real-time RT-PCR techniques revealed nucleic acids of at least one virus group in 189 specimens (77%). Human rhinoviruses and parainfluenza viruses were present each in one third of the children. Adenoviruses, enteroviruses, human metapneumovirus, human bocavirus, and influenza C virus were also relatively common. Possibly due to their seasonal occurrence, influenza A and B virus, and respiratory syncytial virus were detected rarely. We conclude that all major groups of respiratory tract viruses are causing illness in Nigerian children.
Introduction: The emergence of multidrug resistance (MDR; resistance to ≥ 2 more antimicrobials) in Escherichia coli is of concern due to complications encountered in treatment. Methodology: In this study, prevalence, antimicrobial resistance, and genetic characteristics of MDR community isolates of E. coli from Lagos, Nigeria were determined. Urine and stool samples were obtained from outpatients attending Lagos State hospitals and from animal handlers in abattoirs, poultries, and open markets, from December 2012 to July 2013.Results: Approximately 50% of urine (200/394) and 88% of stool samples (120/136) were positive for E. coli. Based upon β-lactamase production, a subset of those isolates was selected for further study. Of the 22 antimicrobials tested, E. coli exhibited resistance to all antimicrobials except amikacin and piperacillin/tazobactam. The highest levels of resistance were to tetracycline (182/247; 73.7%), trimethoprim/sulfamethoxazole (152/247; 61.5%), and ampicillin (147/247; 59.1%). Resistance to the cephalosporins ranged from 1.6%-15% including the third-and fourth-generation cephalosporins, cefpodoxime (20/247; 8.1%) and cefepime (4/247; 1.6%), respectively. MDR was observed in 69.6% (172/247) of the isolates. Forty-eight E. coli resistant to at least five antimicrobials were selected for further analysis using pulsed-field gel electrophoresis; seven distinct clusters were observed among the diverse patterns. Of the 48 MDR E. coli, 30 different sequence types (ST) were detected using multilocus sequence typing, including four ST131. Conclusions: This study demonstrated circulating MDR E. coli in the Nigerian community. Monitoring of antimicrobial resistance in developing countries is necessary to optimize empiric treatment and the prudent use of antimicrobials.
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