Influencia del ambiente en la contaminación de hardware de computadoras por bacterias patógenas drogorresistentes en el hospital César Garayar, Iquitos - 2016
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Universidad Nacional de la Amazonía Peruana
Abstract
El presente estudio permitió evaluar la influencia del ambiente en la contaminación del
hardware de computadoras por bacterias patógenas drogorresistentes, en el Hospital
César Garayar, Iquitos, siendo las especies aisladas e identificadas: Pseudomonas
aeruginosa, Escherichia coli y Staphylococcus aureus, y determinar su resistotipo
antibiótico. Para la obtención de las muestras se utilizó la técnica del hisopado sobre
superficies; para el aislamiento de cepas sospechosas e identificación de las especies,
se emplearon técnicas convencionales y para determinar el resistotipo antibiótico se
empleó el método de difusión en agar, según Kirby-Bauer. Las bacterias en estudio
estuvieron presentes en el 44.9% de las computadoras analizadas, registrándose en el
24.6 % y 20.3 % de teclados y ratones, respectivamente. En las 31 computadoras
contaminadas, S. aureus fue la especie más prevalente (59.5%), seguida de P.
aeruginosa (27.0%) y la menos prevalente fue E. coli (13.5%).Con respecto a los
Departamentos del Hospital Iquitos, el 60.9 % de ellos mostraron que sus computadoras
eran portadoras de las bacterias en estudio, el 70.0 % de los departamentos clínicos y el
53.8 % de los departamentos administrativos. Las cepas de P. aeruginosa, frente a
determinados antibióticos, mostraron el mayor porcentaje de resistencia al Imipenen
y Aztreonam en un 90%, las cepas de E. coli mostraron mayor porcentaje de
resistencia a Cefuroxima y Ampicilina en un 100 % y las cepas de S. aureus, mostraron
mayor porcentaje de resistencia al antibiótico Penicilina, en un 95 %. Se observó una
gran diferencia estadística significativa en la variable tratamiento, para P. aeruginosa,
el coeficiente de variabilidad fue 14,84%, para E. coli el coeficiente de variabilidad fue
7,08% y para S. aureus el coeficiente de variabilidad fue 7,79%, lo cual indica confianza
experimental de los datos obtenidos en el laboratorio.
The present study evaluates the influence of environment pollution to computer hardware by drug resistant pathogenic bacteria in Garayar Caesar, Iquitos Hospital, being isolated and identified species: Pseudomonas aeruginosa, Escherichia coli and Staphylococcus aureus, and determine their antibiotic culture and antibiograms. Swabbing technique was used on surfaces for obtaining samples; for isolation of suspicious strains and species identification, and conventional techniques they were used to determine the antibiotic culture and antibiograms the agar diffusion method was used, according to Kirby-Bauer. The bacteria studied were present in 44.9% of the computers analyzed, registering 24.6% and 20.3% of keyboards and mouses, respectively. In the 31 contaminated computers, S. aureus was the most prevalent species (59.5%), followed by P. aeruginosa (27.0%) was least prevalent and E. coli (13.5%). With regard to departments Iquitos Hospital, 60.9% of them showed that their computers were carriers of the bacteria in the study, 70.0% of clinical departments and 53.8% of administrative departments. P. aeruginosa strains, against certain antibiotics, showed the highest percentage of imipenem and aztreonam resistance. 90%, strains of E. coli showed higher percentage of Cefuroxime and Ampicillin resistance by 100% and S. aureus strains showed higher percentage of penicillin antibiotic resistance, 95%. A statistically significant difference in the treatment variable was observed for P. aeruginosa, the coefficient of variation was 14.84% for E. coli the coefficient of variation was 7.08% for S. aureus and the coefficient of variability was 7.79%, indicating data confidence experimental obtained in the laboratory.
The present study evaluates the influence of environment pollution to computer hardware by drug resistant pathogenic bacteria in Garayar Caesar, Iquitos Hospital, being isolated and identified species: Pseudomonas aeruginosa, Escherichia coli and Staphylococcus aureus, and determine their antibiotic culture and antibiograms. Swabbing technique was used on surfaces for obtaining samples; for isolation of suspicious strains and species identification, and conventional techniques they were used to determine the antibiotic culture and antibiograms the agar diffusion method was used, according to Kirby-Bauer. The bacteria studied were present in 44.9% of the computers analyzed, registering 24.6% and 20.3% of keyboards and mouses, respectively. In the 31 contaminated computers, S. aureus was the most prevalent species (59.5%), followed by P. aeruginosa (27.0%) was least prevalent and E. coli (13.5%). With regard to departments Iquitos Hospital, 60.9% of them showed that their computers were carriers of the bacteria in the study, 70.0% of clinical departments and 53.8% of administrative departments. P. aeruginosa strains, against certain antibiotics, showed the highest percentage of imipenem and aztreonam resistance. 90%, strains of E. coli showed higher percentage of Cefuroxime and Ampicillin resistance by 100% and S. aureus strains showed higher percentage of penicillin antibiotic resistance, 95%. A statistically significant difference in the treatment variable was observed for P. aeruginosa, the coefficient of variation was 14.84% for E. coli the coefficient of variation was 7.08% for S. aureus and the coefficient of variability was 7.79%, indicating data confidence experimental obtained in the laboratory.
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Influencia del ambiente, Contaminación, Hardware, Bacterias, Resistencia bacteriana a drogas
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