ABSTRACT
Background@#The purpose of this study was to investigate the association between antibiotic use and the antimicrobial resistance of gram-negative bacteria isolated from blood cultures in a pediatric population. @*Methods@#From January 2014 to June 2018, the antibiotic resistance pattern of Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa obtained from bacteremic patients aged ≤18 years hospitalized at Asan Medical Center Children's Hospital was analyzed and the parenteral antibiotic consumption data were retrieved. @*Results@#During the study period, the blood culture was positive for K. pneumoniae (6.4%; 105/1,628), E. coli (5.6%; 91/1,628), P. aeruginosa (3.3%; 54/1,628), and A. baumannii (2.5%; 41/1,628), and the extended-spectrum antibiotic resistance rate of gram-negative bacteria was consistently high. The overall resistance rate of E. coliand K. pneumoniae to extendedspectrum cephalosporin was 49.3% and 54.4%, respectively. Carbapenem-resistant E. coli was first detected in 2014; its overall resistance rate to carbapenem was 5.3%. There was a linear correlation between the usage of 3rd generation cephalosporin and the resistance of A. baumannii (r2 =0.96, P=0.004) and carbapenem usage and the resistance of K. pneumoniae (r2 =0.79, P=0.045). @*Conclusions@#A positive linear correlation was observed between antibiotic resistance and the corresponding antibiotic usage in 3rd generation cephalosporin resistant A. baumanniiand carbapenem resistant K. pneumoniae. The judicious use of antibiotics in healthcare settings is important to minimize selection for extended-spectrum β-lactamase (ESBL) and carbapenem resistance in gram-negative bacteria.
ABSTRACT
Background@#The purpose of this study was to investigate the association between antibiotic use and the antimicrobial resistance of gram-negative bacteria isolated from blood cultures in a pediatric population. @*Methods@#From January 2014 to June 2018, the antibiotic resistance pattern of Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa obtained from bacteremic patients aged ≤18 years hospitalized at Asan Medical Center Children's Hospital was analyzed and the parenteral antibiotic consumption data were retrieved. @*Results@#During the study period, the blood culture was positive for K. pneumoniae (6.4%; 105/1,628), E. coli (5.6%; 91/1,628), P. aeruginosa (3.3%; 54/1,628), and A. baumannii (2.5%; 41/1,628), and the extended-spectrum antibiotic resistance rate of gram-negative bacteria was consistently high. The overall resistance rate of E. coliand K. pneumoniae to extendedspectrum cephalosporin was 49.3% and 54.4%, respectively. Carbapenem-resistant E. coli was first detected in 2014; its overall resistance rate to carbapenem was 5.3%. There was a linear correlation between the usage of 3rd generation cephalosporin and the resistance of A. baumannii (r2 =0.96, P=0.004) and carbapenem usage and the resistance of K. pneumoniae (r2 =0.79, P=0.045). @*Conclusions@#A positive linear correlation was observed between antibiotic resistance and the corresponding antibiotic usage in 3rd generation cephalosporin resistant A. baumanniiand carbapenem resistant K. pneumoniae. The judicious use of antibiotics in healthcare settings is important to minimize selection for extended-spectrum β-lactamase (ESBL) and carbapenem resistance in gram-negative bacteria.
ABSTRACT
PURPOSE: To investigate the relationship between the smart devices usage-related factors and self-regulation ability development in early childhood. METHODS: Parental questionnaires of 187 children aged 3–6 years were analyzed. The metrics included smart device usage frequency (times/week, scored as uFreq), smart device usage time (hours/day, scored as uTime), parental scale for appropriate smart device usage level (scored as uLevel), the Korean-developmental screening test (K-DST), and the scale for self-regulation ability in young children (scored as SRS, and including four sub-categories: self-appraisal, self-determination, behavior inhibition, and emotionality). The correlations were analyzed by total age group and by each age. RESULTS: In the total age group analysis, uFreq and uTime were negatively correlated with mean SRS (rs =−0.366, −0.330; P < 0.001) and sub-category SRS (rs =−0.186 to −0.370; P < 0.05). Mean uLevel score was positively correlated with mean SRS (rs =0.406; P < 0.001) and most of the mean sub-category SRS (rs =0.174 to 0.362; P < 0.05). In 3-year-old children, the mean SRS was strongly negatively correlated with uFreq (rs =−0.751; P < 0.001), negatively correlated with uTime (rs =−0.518; P < 0.001), and positively correlated with mean uLevel score (rs =0.533; P=0.013). Such correlations seemed to decrease at the age of 4–6 years. CONCLUSION: Self-regulation ability was significantly correlated with smart device-related factors and was the highest in the 3-year-old children. Encouraging appropriate smart device usage will be helpful for self-regulation development of young children.