Environmental Distribution and Drug Susceptibility of Achromobacter Xylosoxidans Isolated from Outdoor and Indoor Environments.

Achromobacter xylosoxidans is an environmental bacterium with multi-drug resistance. We isolated Achromobacter xylosoxidans and investigated its susceptibility to 13 drugs. Seventy-eight water samples were collected from rivers and ponds, and 11 samples were swabbed from residential sinks and baths. Nine strains of Achromobacter xylosoxidans were isolated from the 89 samples. Five strains, including 2 that were sampled from residential homes, showed high resistance to multiple aminoglycosides. This indicated that Achromobacter xylosoxidans is widely distributed in various outdoor and indoor environments. Moreover, since these highly resistant bacteria were present in indoor environments, caution should be taken for elderly people living at home. Furthermore, a careful assessment should be made for diagnosing and treating compromised hosts.

Properties of Achromobacter xylosoxidans highly resistant to aminoglycoside antibiotics.

We herein discovered a highly resistant clinical isolate of Pseudomonas aeruginosa with MICs to amikacin, gentamicin, and arbekacin of 128 µg/mL or higher in a drug sensitivity survey of 92 strains isolated from the specimens of Yoka hospital patients between January 2009 and October 2010, and Achromobacter xylosoxidans was separated from this P. aeruginosa isolate. The sensitivity of this bacterium to 29 antibiotics was investigated. The MICs of this A. xylosoxidans strain to 9 aminoglycoside antibiotics were: amikacin, gentamicin, arbekacin, streptomycin, kanamycin, neomycin, and spectinomycin, 1,024 µg/mL or ≥ 1,024 µg/mL; netilmicin, 512 µg/mL; and tobramycin, 256 µg/mL. This strain was also resistant to dibekacin. This aminoglycoside antibiotic resistant phenotype is very rare, and we are the first report the emergence of A. xylosoxidans with this characteristic.

Approximate Entropy of Respiratory Movements in Human Newborns during Different Sleep States.

Previous studies have reported that the respiratory cycle of healthy newborns is more irregular during active sleep. This study aimed to apply non-linear analysis to examine the irregularity of respiratory movement in newborns at different sleep states. The respiratory movement signals from an abdominal band during quiet and active sleep were analyzed using approximate entropy (ApEn). The breathing interval of active sleep was significantly shorter than that of quiet sleep [1.30 (0.17) s vs. 1.58 (0.11) s; (P < 0.03)]. The ApEn of respiratory movements during active sleep were significantly larger than that during quiet sleep [0.785 (0.135) s vs. 0.678 (0.083) s; (P < 0.05)]. We found that the ApEn of respiratory movement in healthy newborns could detect irregularities in respiration during sleep.